Ling Xu | Engineering | Young Scientist Award | 4273

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Assoc. Prof. Dr. Ling Xu | Engineering | Young Scientist Award

Teacher | Fuzhou University | China

Assoc. Prof. Dr. Ling Xu is an Associate Professor at the College of Civil Engineering, Fuzhou University, specializing in transportation infrastructure construction, pavement materials, and maintenance engineering. He holds a doctorate in Transportation Engineering, a visiting scholarship in civil infrastructure research, and a bachelor’s degree in Civil Engineering, providing a solid academic foundation in pavement mechanics, material behavior, and life-cycle performance. His professional experience includes contributing to national and industry-funded projects on polyurethane concrete runway overlays, rubberized asphalt durability, high RAP mixture cracking mechanisms, high-speed railway waterproofing layers, and flexible interlayer systems for airfield pavements. His research focuses on low-carbon pavement materials, road maintenance technologies, numerical simulation, data mining, image processing, and life-cycle analysis, leading to impactful publications in high-ranking international journals on asphalt modification, pavement sustainability, thermal-mechanical behavior, and innovative maintenance materials. Recognized with a Young Scientist Award, he has also contributed to the academic community through editorial and review activities, professional memberships, and active participation in interdisciplinary research collaborations.

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Featured Publications

Chang Soo Kim | Engineering | Best Researcher Award

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Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Akbar Hojjati Najafabadi | Engineering | Best Industrial Research Award

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Dr. Akbar Hojjati Najafabadi | Engineering | Best Industrial Research Award

Faculty at Islamic Azad University Mobarakeh Branch, Iran

Dr. Akbar Hojjati Najafabadi is a distinguished researcher in mechanical engineering with expertise in manufacturing, production, hydraulics, pneumatics, robotics, and assistive technology. His research focuses on the design and development of orthotic and rehabilitation devices for individuals with spinal cord injuries and locomotion disabilities, bridging engineering innovation with healthcare needs. He has contributed significantly to industrial research through academic publications in international journals, authored and translated technical books, and supervised projects that integrate mechanical systems with biomedical applications. Beyond academia, he has executed impactful industrial projects, including the design and installation of specialized machinery in major steel industries, showcasing his ability to translate theory into practice. As a lecturer and research leader, he has guided advanced engineering initiatives and mentored students while promoting applied industrial solutions. Recognized for his pioneering contributions, Dr. Hojjati’s work demonstrates a balance of academic rigor, industrial innovation, and social impact, positioning him as a strong industrial researcher.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Akbar Hojjati Najafabadi holds a strong academic foundation in mechanical engineering, specializing in manufacturing and production. He earned his Ph.D. in Mechanical Engineering from Kashan University, where his doctoral research focused on advanced manufacturing and production processes with applications in assistive technologies. Prior to that, he completed his master’s degree at Iran University of Science and Technology, gaining expertise in industrial systems and applied mechanical design. His undergraduate studies were carried out at Islamic Azad University in Najafabad, providing him with the essential grounding in mechanical and production engineering. He also broadened his international research exposure through a visiting research position at the Friedrich Wilhelm Bessel Institut in Germany. This combination of domestic and international education has allowed him to integrate theoretical knowledge with practical innovation, preparing him to tackle complex industrial and biomedical engineering challenges. His academic journey reflects a continuous pursuit of applied, impactful research.

Experience

Dr. Hojjati has built a distinguished career in both academia and industry, serving as a lecturer in mechanical engineering at Islamic Azad University, Mobarakeh Branch, for over two decades. His teaching portfolio includes advanced hydraulics, robotics, industrial measurements, machining, and materials strength, equipping future engineers with cutting-edge knowledge. Beyond teaching, he has taken leadership roles such as group manager of the mechanical engineering department and head of the Advanced Engineering Research Center, where he spearheaded innovative industrial research projects. His applied expertise extends to significant industrial collaborations, including the design, development, and installation of specialized machinery for large-scale steel industries. He has also implemented research-based prototypes such as robotic orthoses, pneumatic muscle-driven devices, and CNC-based robotic systems. This combination of academic leadership, practical industrial implementation, and applied research highlights his commitment to bridging the gap between education, industry, and innovation. His experience exemplifies a balance of teaching, research, and industrial application.

Research Focus

Dr. Hojjati’s research primarily centers on the integration of mechanical engineering with assistive and rehabilitation technologies. His work emphasizes the design and development of orthotic systems, exoskeletons, and assistive devices aimed at improving mobility for individuals with spinal cord injuries and lower-limb disabilities. He has investigated mechanical and motor-driven systems for sit-to-stand transitions, gait improvement, and locomotion rehabilitation, with several prototypes demonstrating practical benefits in healthcare applications. His studies also extend to robotics, hydraulics, and pneumatics, with innovative applications of fluidic muscles and electromechanical drives in rehabilitation devices. In addition to biomedical engineering, he has explored industrial automation, machining performance, and intelligent monitoring systems for robotics. His extensive publication record in international journals, along with ongoing research into exoskeleton technologies, reflects his commitment to applied, impactful innovations. Overall, his research focus merges industrial engineering expertise with biomedical solutions, showcasing his dedication to developing technologies that improve human life and industrial practices.

Award and Honor

Dr. Hojjati has been recognized for his pioneering contributions to industrial and applied research with distinctions that reflect both academic and practical excellence. He was honored as a Pioneer Investigator by Islamic Azad University, highlighting his leadership in advancing engineering education and research. His inventive spirit is demonstrated by his patented Surface Quick Modeling Machine, certified by the General Bureau of Industrial Possessions and Corporations Records, marking a significant contribution to industrial innovation. Alongside this, his published works in highly regarded international journals and conference presentations have further solidified his standing as a recognized researcher in mechanical and biomedical engineering fields. His authored and translated books on pneumatics, robotics, mechatronics, and industrial systems showcase his commitment to knowledge dissemination and professional development. These awards and honors underscore his role as a respected academic and industrial innovator, reflecting a career dedicated to advancing engineering solutions with real-world impact.

Publications Top Notes

  • Title: Mechanical design and simulation of a saddle-assistive device for sit-to-stand transfer in healthy subjects
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2017
    Citations: 8

  • Title: The effect of saddle-assistive device on improving the gait parameters of patients with the lower limbs weakness: a pilot study
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2020
    Citations: 2

  • Title: Machining performance on AISI 304 steel in the milling machine with mechanical and hydraulic spindle
    Authors: M Shirazi, A Hojjati Najafabadi, S Amini
    Year: 2024
    Citations: 1

  • Title: Using a saddle-assistive device equipped with mechanical orthosis for walking of the person with incomplete spinal cord injury
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2021
    Citations: 1

  • Title: Improving sit-to-stand transition by the saddle-assistive device in the spinal cord injury: A case study
    Authors: A Hojjati Najafabadi, S Amini, F Farahmand
    Year: 2021
    Citations: 1

  • Title: Novel design and comprehensive mechanical analysis of a cost-effective manual patient lifting system with worm gear mechanism
    Authors: A Hojjati Najafabadi, M Ahmadi Bani
    Year: 2025

  • Title: Innovative Enhancements in Surface Quality and Hardness of Aluminium Alloy 2024 through an Optimized Burnishing Process
    Authors: AH Najafabadi
    Year: 2024

  • Title: Development of the Burnishing Process: Moving Towards Increasing the Quality and Surface Hardness of Aluminum alloy 2024
    Authors: AH Najafabadi
    Year: 2023

  • Title: Comparison of anterior and posterior wheeled walkers based on body weight support in improving gait function a subjects with spinal cord injury: A case study
    Authors: AH Najafabadi, MA Bani, V Pourmoghadam
    Year: 2022

  • Title: Design of patient lifting device based on the use of a worm gears mechanism in the protection of the caregiver
    Authors: AH Najafabadi
    Year: 2022

  • Title: Rapid welding of aluminum for marking on hot steel
    Authors: HB Soroush Baladi, Akbar Hojjati Najafabadi, Mohammad Reza Khanzadeh
    Year: 2022

Conclusion

Dr. Akbar Hojjati Najafabadi’s publication record reflects a strong and consistent focus on applied industrial and biomedical engineering research. His contributions span from early work in assistive device design to recent advancements in machining processes, patient lifting systems, and rehabilitation technologies. The research demonstrates both technical depth and practical application, particularly in developing innovative solutions for spinal cord injury rehabilitation and industrial manufacturing improvements. While some of his works have already gained citations and recognition in reputable journals, others represent emerging areas with potential for broader impact. The combination of interdisciplinary research, industrial collaboration, and continuous innovation positions him as a significant contributor to industrial research. His work not only advances scientific knowledge but also provides tangible benefits to healthcare and industry, reinforcing his suitability for recognition such as the Best Industrial Research Award.

Salem Batiyah | Engineering | Best Researcher Award

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Dr. Salem Batiyah | Engineering | Best Researcher Award

Assistant Professor at Yanbu Industrial College, Saudi Arabia

Dr. Salem Mohammed Batiyah is a dedicated researcher in electrical engineering with strong contributions to distributed energy resources, microgrids, and advanced control systems. His work is published in respected journals such as IEEE Access and Energies, covering both theoretical and applied aspects of renewable energy systems. He has an active role as a reviewer for top-tier journals, reflecting recognition by the global research community. In addition to his research, Dr. Batiyah demonstrates academic leadership through curriculum development, teaching, and quality assurance roles. While his citation metrics and absence of major research grants suggest areas for growth, his ongoing publication record and technical expertise indicate a solid foundation for future impact. Strengthening international collaborations and securing research funding will further enhance his research profile. Overall, Dr. Batiyah is a strong candidate for the Best Researcher Award, especially in domains valuing practical innovation and contributions to sustainable energy and smart grid development

Professional Profile 

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Strengths for the Award

Dr. Salem Mohammed Batiyah presents a strong and relevant research portfolio in modern electrical engineering fields, particularly in distributed energy resources (DERs), microgrids, hybrid power plants, and advanced control systems. His work addresses high-impact areas such as renewable energy integration, predictive control, and fault-tolerant power electronics, which are central to global energy transition goals.

He has authored multiple peer-reviewed journal and conference papers, with publications in well-regarded outlets such as IEEE Access and Energies. These include both novel technical contributions and comprehensive reviews, suggesting breadth and depth. His global engagement as a reviewer for prestigious journals such as IEEE Transactions on Industrial Informatics and IEEE JESTIE reflects his standing in the academic community.

Additionally, Dr. Batiyah combines research with active academic and administrative leadership, curriculum development, and extensive teaching in power systems and control engineering. This integration of research and teaching enhances his impact and dissemination of knowledge.

Education

Dr. Salem Mohammed Batiyah holds a Ph.D. in Electrical Engineering from Mississippi State University, where he specialized in power management and control systems for renewable energy applications. He earned his M.Sc. and B.Sc. degrees in Electrical Engineering from Western Michigan University. His graduate studies focused on distributed energy resources, microgrid integration, and model predictive control systems. Throughout his academic journey, Dr. Batiyah developed a solid foundation in both theoretical and practical aspects of power systems, signal processing, and advanced control techniques. His educational background is complemented by professional certifications, including Lean Six Sigma and OSHA safety training, demonstrating his commitment to quality and operational excellence. Dr. Batiyah’s education has prepared him to address real-world engineering challenges in sustainable energy and has laid the groundwork for a research-oriented academic career. His academic experience is characterized by interdisciplinary training and international exposure, enhancing his perspective in solving complex energy system problems.

Experience

Dr. Salem Batiyah brings a wealth of academic and professional experience to the field of electrical engineering. Since 2020, he has been serving as an Assistant Professor at Yanbu Industrial College, where he has taught various undergraduate and associate courses in power electronics, control systems, and industrial electronics. He also worked as a Graduate Research Assistant at Mississippi State University from 2015 to 2020, engaging in research related to power management in renewable energy systems. His earlier academic experience includes working as a lecturer at Yanbu Industrial College from 2014 to 2020. Dr. Batiyah has held several administrative roles such as Department Curriculum Coordinator, Head of Curriculum and Development, and Academic Quality Coordinator. He is actively involved in multiple college and department-level committees, contributing to academic planning, program development, and quality assurance. His career reflects a blend of teaching, research, and leadership, all aimed at advancing engineering education and applied energy solutions.

Awards and Honors

Dr. Salem Batiyah has received multiple awards and honors recognizing his academic excellence and professional achievements. Notably, he was inducted into prestigious honor societies including Phi Kappa Phi, Gamma Beta Phi, and IEEE Eta Kappa Nu, reflecting high academic performance during his graduate and undergraduate studies. He was awarded the First Class Standing Award for Master of Science students and consistently made the Dean’s List during his undergraduate years. In 2023, his research output earned him 123 scholarly citations, with an h-index of 5 and an i10-index of 3, indicating growing recognition within the research community. Additionally, he holds professional certifications such as Black Belt in Lean Six Sigma and OSHA Safety Training, demonstrating his commitment to continuous professional development. His active participation in global academic organizations and contributions as a peer reviewer for multiple IEEE journals further validate his influence and leadership in the field of electrical and energy engineering.

Research Focus on Engineering

Dr. Salem Batiyah’s research centers around the modeling, analysis, and control of distributed energy resources (DERs), including solar photovoltaics and battery energy storage systems. His work addresses the integration of these resources into microgrids and hybrid power plants, with an emphasis on system reliability and efficiency. A key area of focus is the application of advanced control methods such as nonlinear, robust, and model predictive control (MPC) to optimize energy management under varying load and environmental conditions. Dr. Batiyah also explores advanced signal processing and phase-locked loops within DER systems, supporting grid stability and intelligent power conversion. His research aims to provide scalable and sustainable solutions to modern energy challenges, contributing to the global shift toward renewable and decentralized energy systems. Through peer-reviewed publications and academic collaborations, Dr. Batiyah is establishing himself as a forward-thinking researcher addressing critical challenges in the evolving energy landscape.

Publications Top Notes

  • Title: An MPC-based power management of standalone DC microgrid with energy storage
    Authors: S. Batiyah, R. Sharma, S. Abdelwahed, N. Zohrabi
    Year: 2020
    Citations: 111

  • Title: An MPC-based power management of a PV/battery system in an islanded DC microgrid
    Authors: S. Batiyah, N. Zohrabi, S. Abdelwahed, R. Sharma
    Year: 2018
    Citations: 36

  • Title: Single-phase fault tolerant multilevel inverter topologies—comprehensive review and novel comparative factors
    Authors: H. Rehman, M. Tariq, A. Sarwar, W. Alhosaini, M.A. Hossain, S.M. Batiyah
    Year: 2022
    Citations: 22

  • Title: Optimal control design of a voltage controller for stand-alone and grid-connected PV converter
    Authors: S. Batiyah, N. Zohrabi, S. Abdelwahed, T. Qunais, M. Mousa
    Year: 2018
    Citations: 17

  • Title: Predictive control of PV/battery system under load and environmental uncertainty
    Authors: S. Batiyah, R. Sharma, S. Abdelwahed, W. Alhosaini, O. Aldosari
    Year: 2022
    Citations: 15

  • Title: Performance evaluation of multiple machine learning models in predicting power generation for a grid-connected 300 MW solar farm
    Authors: O. Aldosari, S. Batiyah, M. Elbashir, W. Alhosaini, K. Nallaiyagounder
    Year: 2024
    Citations: 11

  • Title: Image-based partial discharge identification in high voltage cables using hybrid deep network
    Authors: O. Aldosari, M.A. Aldowsari, S.M. Batiyah, N. Kanagaraj
    Year: 2023
    Citations: 8

  • Title: Impact of variation of energy resources on voltage stability of a micro grid
    Authors: M.A. Mousa, S. Abdelwahed, S.M. Batiyah, T. Qunais
    Year: 2017
    Citations: 6

  • Title: Deep neural networks model for accurate photovoltaic parameter estimation under variable weather conditions
    Authors: S. Batiyah, A. Al-Subhi, O. Elsherbiny, O. Aldosari, M. Aldawsari
    Year: 2025

  • Title: Predictive control of standalone DC microgrid with energy storage under load and environmental uncertainty
    Author: S.M. Batiyah (Ph.D. Dissertation)
    Year: 2020

Conclusion

Dr. Salem Mohammed Batiyah exemplifies a rising leader in electrical and energy systems engineering, combining academic rigor with real-world impact. His research contributions, especially in renewable energy integration and intelligent control systems, align with global priorities for sustainability and innovation. His dual strengths in teaching and research, complemented by his service in academic development and international peer reviewing, position him as a multidimensional scholar. While his citation metrics and grant record indicate room for further growth, his upward trajectory and commitment to excellence are undeniable. Dr. Batiyah stands out as a promising candidate for recognition in the research community and is well on his way to becoming a major contributor to the field of smart and sustainable energy systems. With continued focus on high-impact collaboration and innovation, he is poised to make significant strides that benefit academia, industry, and the broader society.

Dr. Amir Hossein Poursaeed | Engineering | Best Researcher Award

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Dr. Amir Hossein Poursaeed | Engineering | Best Researcher Award

Phd Candidate at University of Exeter, United Kingdom

Amir Hossein Poursaeed is an accomplished researcher in electrical engineering with a specialization in power systems, machine learning applications, and renewable energy integration. Holding a Master’s degree from Lorestan University, he has developed a strong academic foundation complemented by an exceptional research portfolio. His work focuses on power system protection, stability, and optimization using advanced AI techniques such as explainable deep learning and quantum neural networks. With over 17 peer-reviewed journal publications, many in Q1 journals, and multiple IEEE conference contributions, his research demonstrates both depth and innovation. He collaborates with leading academics internationally and has contributed to interdisciplinary studies in environmental modeling and water resource management. Amir’s commitment to cutting-edge research in inverter-based power grids, fault diagnosis, and energy systems places him among the promising young scholars in the field. His achievements reflect a rare blend of technical expertise, research leadership, and forward-looking vision essential for shaping the future of smart grids.

Professional Profile 

Google Scholar
ORCID Profile 

Education

Amir Hossein Poursaeed has a solid educational background in electrical engineering with a focus on power systems. He earned his Master of Science degree from Lorestan University, Iran, where he specialized in Digital Power System Protection and Power System Dynamics. His M.Sc. thesis, supervised by Professor Farhad Namdari, focused on using Support Vector Machines for wide-area protection against voltage and transient instabilities. He previously obtained his Bachelor of Science in Electrical Engineering from the same university, where he explored the optimal placement of phasor measurement units using metaheuristic algorithms. His academic performance was commendable, with a GPA of 18.87/20 in his M.Sc. program, demonstrating both technical strength and research capability. Throughout his education, he consistently focused on high-voltage systems, optimization, and smart grid technologies, laying the foundation for his research in AI-based power system protection and stability. His educational journey highlights a continuous commitment to excellence and innovation in energy systems.

Professional Experience

Amir Hossein Poursaeed has developed a robust professional profile centered around advanced power system research and academic collaboration. While specific institutional roles aren’t explicitly mentioned, his extensive list of high-impact publications indicates active involvement in collaborative research projects, particularly with institutions such as Lorestan University and international partners. He has co-authored multiple studies with recognized scholars, including Professor Farhad Namdari and Dr. P.A. Crossley, highlighting his integration into the global research community. His contributions include the design of advanced fault detection systems, AI-driven stability analysis tools, and renewable energy integration models. Additionally, his work in inter-turn fault diagnosis and real-time system protection showcases applied engineering skills with a focus on practical solutions for modern grid challenges. His experience spans theoretical research, model development, and algorithm implementation in live or simulated systems, establishing him as a well-rounded researcher in academia and an emerging leader in AI-enabled power engineering technologies.

Research Interest

Amir Hossein Poursaeed’s research interests are rooted in the intersection of electrical power systems and artificial intelligence. His primary focus includes power system stability, digital protection systems, fault detection, and the integration of renewable energy sources. He is especially passionate about leveraging advanced machine learning and explainable AI techniques for enhancing grid reliability and system monitoring. His recent work involves deep learning, support vector machines, and quantum neural networks applied to inverter-based power systems and DC microgrids—fields gaining global relevance due to the rise of decentralized energy systems. Optimization algorithms, transient analysis, and wide-area protection schemes are other key domains of his expertise. He also extends his knowledge into environmental systems, working on AI-based models for water quality assessment. This multidisciplinary approach underlines his goal of developing intelligent, robust, and real-time frameworks for smart grid operations, making his research both innovative and impactful in addressing contemporary and future challenges in energy systems.

Award and Honor

Although specific awards and honors are not listed, Amir Hossein Poursaeed’s academic and research accomplishments position him as a candidate deserving of high recognition. His publication record in prestigious Q1 journals, such as Applied Soft Computing, Energy Reports, and Sustainable Energy Technologies and Assessments, reflects scholarly excellence. His papers have introduced novel contributions to power system protection and AI-based monitoring, often co-authored with leading international experts—an indication of his growing reputation in the field. His research has also been accepted at major IEEE conferences, including the International Universities Power Engineering Conference and the International Conference on Electric Power and Energy Conversion Systems, which highlights peer recognition of his work. Moreover, his interdisciplinary research in water resource management using machine learning models demonstrates his versatility and impact beyond core power engineering. Given these achievements, he is highly deserving of academic awards, particularly those that celebrate emerging researchers and innovators in smart energy systems.

Conclusion

Amir Hossein Poursaeed is an emerging thought leader in the field of power systems and intelligent energy technologies. With a strong educational background and a research focus on AI-driven solutions for grid stability and protection, he has consistently demonstrated excellence in both theoretical innovation and practical application. His contributions span power engineering, machine learning, and even environmental sciences—showcasing his ability to bridge disciplines for impactful solutions. Through numerous high-impact publications and international conference engagements, he has established himself as a respected voice in the global research community. His work addresses critical challenges in inverter-based grids, renewable integration, and real-time monitoring, aligning perfectly with the global shift toward sustainable and resilient energy systems. Amir’s trajectory reflects not only technical brilliance but also research leadership, collaboration, and a vision for smarter, safer, and more efficient power systems. He is undoubtedly a strong candidate for honors such as the Best Researcher Award.

Publications Top Notes

  • Title: An Ultra-Fast Directional Protection Scheme for DC Microgrids Based on High-Order Synchrosqueezing Transform
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2023
    Citations: 7

  • Title: Online Transient Stability Assessment Implementing the Weighted Least-Square Support Vector Machine with the Consideration of Protection Relays
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2025
    Citations: 6

  • Title: A New Strategy for Prediction of Water Qualitative and Quantitative Parameters by Deep Learning-Based Models with Determination of Modelling Uncertainties
    Authors: M. Poursaeid, A.H. Poursaeed
    Year: 2024
    Citations: 6

  • Title: Online Voltage Stability Monitoring and Prediction by Using Support Vector Machine Considering Overcurrent Protection for Transmission Lines
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2020
    Citations: 6

  • Title: High‐Speed Algorithm for Fault Detection and Location in DC Microgrids Based on a Novel Time–Frequency Analysis
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2024
    Citations: 3

  • Title: Hydraulic Modeling of the Water Resources Using Learning Techniques
    Authors: M. Poursaeid, A.H. Poursaeed, S. Shabanlou
    Year: 2022
    Citations: 3

  • Title: Explainable AI-Driven Quantum Deep Neural Network for Fault Location in DC Microgrids
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2025
    Citations: 2

  • Title: Simulation Using Machine Learning and Multiple Linear Regression in Hydraulic Engineering
    Authors: M. Poursaeid, A.H. Poursaeed, S. Shabanlou
    Year: 2023
    Citations: 2

  • Title: Optimized Explainable Tabular Transformer Model for Fault Localization in DC Microgrids
    Authors: A.H. Poursaeed, F. Namdari, P.A. Crossley
    Year: 2025
    Citations: 1

  • Title: Optimal Coordination of Directional Overcurrent Relays: A Fast and Precise Quadratically Constrained Quadratic Programming Solution Methodology
    Authors: A.H. Poursaeed, M. Doostizadeh, S. Hossein Beigi Fard, A.H. Baharvand, F. Namdari
    Year: 2024
    Citations: 1

Dr. Oluwole Famoriji | Electrical and Electronics Engineering | Best Researcher Award

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Dr. Oluwole Famoriji | Electrical and Electronics Engineering | Best Researcher Award

Assoc. Prof. at University of Johannesburg, South Africa

Engr. Dr. Oluwole John Famoriji is an accomplished academic and researcher in Electrical and Information Engineering, with specialization in Communication Engineering, Antenna Array Signal Processing, and Artificial Intelligence. He holds a Ph.D. in Electronic Science and Technology from the University of Science and Technology of China, backed by numerous awards, including the prestigious CAS-TWAS President’s Fellowship and the Innovation Spirit Award. With over a decade of teaching and research experience across Nigeria, China, and South Africa, he currently serves as an Associate Professor at Achievers University, Owo. Dr. Famoriji is a recognized reviewer for top-tier journals like IEEE Access and IET Communications and has served as an external examiner at international universities. He is a member of COREN, NSE, and IEEE, and is proficient in simulation tools such as MATLAB and CST. His work reflects a strong blend of academic rigor, global collaboration, and practical application in modern engineering challenges.

Professional Profile 

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Education

Engr. Dr. Oluwole John Famoriji has a well-rounded and international academic background in Electrical and Electronics Engineering. He earned his Ph.D. in Electronic Science and Technology from the University of Science and Technology of China (USTC) in 2019, under the prestigious CAS-TWAS Presidential Fellowship. Prior to that, he obtained his M.Eng. in Communication Engineering from the Federal University of Technology, Akure in 2014, and his B.Eng. in Electrical/Electronics Engineering from Ladoke Akintola University of Technology in 2009. His early education was completed in Igbajo, Osun State, Nigeria. Throughout his academic journey, he demonstrated consistent excellence, culminating in international recognition during his Ph.D. studies. His education spans both advanced theoretical frameworks and applied technical training, positioning him effectively in fields like signal processing, antennas, and intelligent systems. Dr. Famoriji’s educational path reflects a strong foundation for high-impact research and global academic collaboration.

Professional Experience

Dr. Oluwole John Famoriji brings over 14 years of progressive academic and research experience across Africa and Asia. He is currently an Associate Professor at Achievers University, Owo, Nigeria, where he teaches and supervises projects in Communication Engineering and Signal Processing. Prior roles include a Postdoctoral Fellowship at the University of Johannesburg (2021–2023) and various teaching positions at Afe Babalola University, where he rose from Lecturer II to Senior Lecturer between 2014 and 2021. He also served as a Teaching Assistant at the Federal University of Technology, Akure, and completed his NYSC teaching at Federal Polytechnic, Kaura Namoda. Dr. Famoriji has demonstrated academic leadership and global engagement, serving as an external examiner in both China and South Africa. His career trajectory showcases a blend of teaching excellence, mentorship, and research productivity, making him a respected figure in the engineering education community.

Research Interest

Dr. Famoriji’s research focuses on advanced topics in Communication Engineering, particularly Antenna Array Signal Processing, Applied Electromagnetics, RF Propagation, and Artificial Intelligence. His work integrates theoretical modeling with practical engineering solutions, using tools such as MATLAB, HFSS, CST, and OptiSystem. His interests extend into intelligent systems and soft computing, emphasizing adaptive technologies in wireless communications and biomedical applications. His contributions aim to solve real-world engineering problems, including efficient spectrum use, smart antenna systems, and AI-driven communication protocols. Through interdisciplinary approaches, Dr. Famoriji seeks to enhance connectivity, signal clarity, and system intelligence in modern communication networks. He has actively contributed as a reviewer for renowned journals like IEEE Access, IET Signal Processing, and IEEE Transactions on Antennas and Propagation, reflecting his expertise and peer recognition in the field. His ongoing research supports the advancement of next-generation wireless and intelligent communication systems across academic and industrial applications.

Award and Honor

Dr. Oluwole John Famoriji has received several prestigious awards that highlight his academic excellence and research impact. Most notably, he was awarded the CAS-TWAS Ph.D. President Fellowship by the Chinese Academy of Sciences and The World Academy of Sciences, an internationally competitive recognition for outstanding doctoral scholars. During his Ph.D. at USTC, he also received the Innovation Spirit Award (2016) and Outstanding Research Assistant Award (2017) from the Micro-/Nano Electronic Systems Integration Center. These accolades underscore his creativity, work ethic, and innovation in high-tech research environments. In addition, he is an active member of global engineering bodies such as the IEEE, the Nigerian Society of Engineers (NSE), and the Council for the Regulation of Engineering in Nigeria (COREN). His service on technical committees and student leadership roles further reflect his commitment to academic and professional excellence. These honors position him as a standout researcher in his field.

Conclusion

Dr. Oluwole John Famoriji is a dynamic and accomplished researcher whose career spans high-level academic training, impactful research, and international collaboration. His expertise in Communication Engineering, RF technologies, and intelligent systems has contributed significantly to academic advancement and real-world engineering applications. His trajectory—from a Ph.D. fellow in China to an Associate Professor in Nigeria and a Postdoctoral Fellow in South Africa—illustrates his global outlook and commitment to research excellence. With numerous awards, strong publication review credentials, and leadership roles in academic settings, he exemplifies the qualities of an innovative scholar and mentor. Although more detail on publications and grant leadership would further strengthen his profile, Dr. Famoriji’s blend of experience, technical depth, and academic service makes him a compelling candidate for recognition such as the Best Researcher Award. His work continues to inspire collaboration and advancement in the field of electrical and communication engineering.

Publications Top Notes

  • Title: An intelligent deep learning-based direction-of-arrival estimation scheme using spherical antenna array with unknown mutual coupling
    Authors: OJ Famoriji, OY Ogundepo, X Qi
    Year: 2020
    Citations: 58

  • Title: Radio frequency propagation mechanisms and empirical models for hilly areas
    Authors: FJ Oluwole, OY Olajide
    Year: 2013
    Citations: 54

  • Title: Channel Estimation and Peak‐to‐Average Power Ratio Analysis of Narrowband Internet of Things Uplink Systems
    Authors: MS Ali, Y Li, MKH Jewel, OJ Famoriji, F Lin
    Year: 2018
    Citations: 28

  • Title: Evaluation and modelling of UHF radiowave propagation in a forested environment
    Authors: T Ayekomilogbon Olufemi, O Famoriji John, O Olasoji Yekeen
    Year: 2013
    Citations: 28

  • Title: Electromagnetic machine learning for estimation and mitigation of mutual coupling in strongly coupled arrays
    Authors: OJ Famoriji, T Shongwe
    Year: 2023
    Citations: 27

  • Title: Design of a multiband hexagonal patch antenna for wireless communication systems
    Authors: AO Fadamiro, JD Ntawangaheza, OJ Famoriji, Z Zhang, F Lin
    Year: 2022
    Citations: 24

  • Title: Source Localization of EM Waves in the Near‐Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling
    Authors: OJ Famoriji, T Shongwe
    Year: 2021
    Citations: 22

  • Title: A test of the relationship between refractivity and radio signal propagation for dry particulates
    Authors: FJ Oluwole, OM Olayinka
    Year: 2013
    Citations: 22

  • Title: Path loss prediction in Tropical regions using machine learning techniques: A case study
    Authors: OJ Famoriji, T Shongwe
    Year: 2022
    Citations: 20

  • Title: Design of H-Tree fractal slots frequency reconfigurable hexagonal patch antenna using PIN diodes
    Authors: AO Fadamiro, OJ Famoriji, RS Zakariyya, Z Zhang, F Lin
    Year: 2019
    Citations: 20

  • Title: Critical review of basic methods on DoA estimation of EM waves impinging a spherical antenna array
    Authors: OJ Famoriji, T Shongwe
    Year: 2022
    Citations: 19

  • Title: Direction-of-arrival estimation of electromagnetic wave impinging on spherical antenna array in the presence of mutual coupling using a multiple signal classification method
    Authors: OJ Famoriji, T Shongwe
    Year: 2021
    Citations: 19

  • Title: A multiple element calibration algorithm for active phased array antenna
    Authors: AO Fadamiro, AAH Semomhe, OJ Famoriji, F Lin
    Year: 2019
    Citations: 19

  • Title: Design of a simple circularly polarised dual‐frequency reconfigurable microstrip patch antenna array for millimetre‐wave applications
    Authors: OJ Famoriji, S Yang, Y Li, W Chen, A Fadamiro, Z Zhang, F Lin
    Year: 2019
    Citations: 18

  • Title: Multi-source DoA estimation of EM waves impinging spherical antenna array with unknown mutual coupling using relative signal pressure based multiple signal classification approach
    Authors: OJ Famoriji, T Shongwe
    Year: 2022
    Citations: 16

Sudipta Chattopadhyay | Engineering | Outstanding Scientist Award

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Dr. Sudipta Chattopadhyay | Engineering | Outstanding Scientist Award

Professor at Mizorm University (A Central University, Govt of India))Aizawl, India

Dr. Sudipta Chattopadhyay is a seasoned academic and researcher in the field of Antenna and Electromagnetics with over 24 years of experience in teaching and research. Currently a Professor in the Department of Electronics and Communication Engineering at Mizoram University, he holds a Ph.D. in Antenna Engineering from the University of Calcutta and an honorary D.Sc. in Applied Electromagnetics. His research focuses on microstrip antennas, defected ground structures, and electromagnetic radiation, earning him national and international recognition, including lifetime achievement awards and editorial roles in prestigious journals like IEEE Access and Wiley’s RF and Microwave Computer Aided Engineering. He is a Fellow of multiple professional societies, including IETE and IE, and has contributed extensively as a reviewer for high-impact journals. Known for his academic dedication, editorial leadership, and subject expertise, Dr. Chattopadhyay’s work continues to influence the fields of RF and microwave engineering both in India and abroad.

Professional Profile 

Google Scholar
Scopus Profile

Education

Dr. Sudipta Chattopadhyay has a strong academic background in electronics and electromagnetics. He began his education at Taki Government High School, earning first-division results in both Madhyamik and Higher Secondary Examinations. He completed his B.Sc. with honors in Physics from Bidhannagar Government College under the University of Calcutta. He then pursued his B.Tech and M.Tech in Radio Physics and Electronics from the Institute of Radio Physics and Electronics, University of Calcutta, both with first-class distinction. His academic journey culminated with a Ph.D. (Tech) in Antenna and Electromagnetics from the same institute, where he conducted theoretical and experimental studies on rectangular microstrip patch antennas. Additionally, in recognition of his contributions to applied electromagnetics, he was awarded an honorary D.Sc. by the University of Central America, Bolivia. Dr. Chattopadhyay’s educational foundation has laid the groundwork for a distinguished career in teaching, research, and innovation in antenna engineering and related fields.

Professional Experience

Dr. Chattopadhyay has amassed over two decades of professional experience in academia, beginning as a Lecturer in 2001 at Siliguri Institute of Technology. Over the years, he rose through the ranks to Senior Lecturer, Assistant Professor, and Associate Professor at the same institution. In 2016, he joined Mizoram University, a central university under the Government of India, as an Associate Professor in the Department of Electronics and Communication Engineering. By 2019, he was promoted to Professor, a position he continues to hold. Throughout his career, he has taught a wide range of subjects in electronics and communication, mentored students, and contributed to the academic development of his institutions. His progression reflects a consistent commitment to teaching excellence and academic leadership. He has also been deeply involved in academic governance, research supervision, and curriculum development, solidifying his role as a senior academician and mentor in the Indian higher education system.

Research Interest

Dr. Sudipta Chattopadhyay’s primary research interests lie in the fields of antenna design, applied electromagnetics, and microwave engineering. His work emphasizes microstrip antennas, defected ground structures (DGS), cross-polarization reduction, and artificial magnetic conductors (AMCs). He is known for bridging theoretical modeling with experimental validation, contributing to advancements in compact, high-performance antenna systems for modern wireless communication. His doctoral research focused on the analysis and performance enhancement of rectangular microstrip patch antennas, and he has since expanded his focus to include reconfigurable antennas and metamaterials. Dr. Chattopadhyay’s editorial and reviewer roles in leading international journals further highlight his expertise and engagement with cutting-edge developments in RF and microwave technologies. His research continues to address challenges in bandwidth improvement, radiation efficiency, and polarization control, which are critical for 5G, IoT, and satellite communication systems. Overall, his work contributes significantly to the development of advanced antenna systems in both academic and applied research contexts.

Award and Honor

Dr. Sudipta Chattopadhyay has received numerous awards and honors in recognition of his contributions to research and academia. He is a UGC National Scholarship holder and has been featured multiple times in prestigious biographical directories such as Marquis Who’s Who in the World and 2000 Outstanding Intellectuals of the 21st Century. His accolades include the Albert Nelson Marquis Lifetime Achievement Award (2018), the Best Researcher Award (2021), and several Lifetime Achievement Awards from organizations including the EMG-SSM Trust and Aviskar Foundation. He is a Royal Golden Fellow of Eudoxia Research University and a World Research Fellow of London. He has served as an editorial board member and associate editor for high-impact journals like IEEE Access and Wiley’s RF and Microwave CAE. These recognitions affirm both his global academic standing and his sustained impact in the field of antenna engineering and applied electromagnetics.

Conclusion

In conclusion, Dr. Sudipta Chattopadhyay stands out as a distinguished academic and researcher with a career spanning over two decades in electronics and communication engineering. His solid educational background, enriched with a Ph.D. and honorary D.Sc., forms the foundation of his extensive teaching and research experience. His work in antenna design, microstrip technologies, and electromagnetic theory has earned him national and international acclaim, reflected in numerous awards, editorial roles, and fellowships. Dr. Chattopadhyay’s professional journey is marked by continuous academic growth, global engagement, and significant contributions to RF and microwave engineering. While further quantifiable metrics such as publication impact and funded research projects would strengthen his portfolio, his career achievements already position him as a leading voice in his field. His dedication to teaching, editorial leadership, and innovative research make him a strong candidate for honors like the Outstanding Scientist Award and a respected figure in the academic community.

Publications Top Notes

  • Title: Rectangular microstrip antenna on slot-type defected ground for reduced cross-polarized radiation
    Authors: A. Ghosh, D. Ghosh, S. Chattopadhyay, L.L.K. Singh
    Year: 2015
    Citations: 90

  • Title: Rectangular microstrip patch on a composite dielectric substrate for high-gain wide-beam radiation patterns
    Authors: S. Chattopadhyay, J.Y. Siddiqui, D. Guha
    Year: 2009
    Citations: 73

  • Title: Physical and quantitative analysis of compact rectangular microstrip antenna with shorted non-radiating edges for reduced cross-polarized radiation using modified cavity model
    Authors: D. Ghosh, S.K. Ghosh, S. Chattopadhyay, S. Nandi, D. Chakraborty, R. Anand, et al.
    Year: 2014
    Citations: 62

  • Title: Rectangular microstrips with variable air gap and varying aspect ratio: improved formulations and experiments
    Authors: S. Chattopadhyay, M. Biswas, J.Y. Siddiqui, D. Guha
    Year: 2009
    Citations: 58

  • Title: Rectangular microstrip antenna with dumbbell shaped defected ground structure for improved cross-polarized radiation in wide elevation angle and its theoretical analysis
    Authors: A. Ghosh, S. Chakraborty, S. Chattopadhyay, A. Nandi, B. Basu
    Year: 2016
    Citations: 53

  • Title: Estimation of gain enhancement replacing PTFE by air substrate in a microstrip patch antenna [antenna designer’s notebook]
    Authors: D. Guha, S. Chattopadhyay, J.Y. Siddiqui
    Year: 2010
    Citations: 53

  • Title: Improved polarization purity for circular microstrip antenna with defected patch surface
    Authors: A. Ghosh, S.K. Ghosh, D. Ghosh, S. Chattopadhyay
    Year: 2016
    Citations: 51

  • Title: Improved cross-polarized radiation and wide impedance bandwidth from rectangular microstrip antenna with dumbbell-shaped defected patch surface
    Authors: S. Chakraborty, A. Ghosh, S. Chattopadhyay, L.L.K. Singh
    Year: 2015
    Citations: 51

  • Title: Input impedance of probe-fed rectangular microstrip antennas with variable air gap and varying aspect ratio
    Authors: S. Chattopadhyay, M. Biswas, J.Y. Siddiqui, D. Guha
    Year: 2009
    Citations: 40

  • Title: DGS Integrated Air Loaded Wideband Microstrip Antenna for X and Ku Band
    Authors: T. Sarkar, A. Ghosh, L.K. Singh, S. Chattopadhyay
    Year: 2020
    Citations: 35

  • Title: A physical insight into the influence of dominant mode of rectangular microstrip antenna on its cross-polarization characteristics and its improvement with T-shaped microstrip
    Authors: S. Chattopadhyay, S. Chakraborty
    Year: 2018
    Citations: 32

  • Title: Substrate fields modulation with defected ground structure: a key to realize high gain, wideband microstrip antenna with improved polarization purity in principal and diagonal planes
    Authors: S. Chakraborty, S. Chattopadhyay
    Year: 2016
    Citations: 28

  • Title: Improved cross polarization and broad impedance bandwidth from simple single element shorted rectangular microstrip patch: theory and experiment
    Authors: R. Poddar, S. Chakraborty, S. Chattopadhyay
    Year: 2016
    Citations: 27

  • Title: Quasi-planar Composite Microstrip Antenna: Symmetrical Flat-Top Radiation with High Gain and Low Cross Polarization
    Authors: P.U. Ankush, S. Chakraborty, T. Sarkar, A. Ghosh, L.L.K. Singh, et al.
    Year: 2019
    Citations: 23

  • Title: Wide bandwidth microstrip antenna with defected patch surface for low cross polarization applications
    Authors: A. Ghosh, S. Chattopadhyay, L.L.K. Singh, B. Basu
    Year: 2017
    Citations: 19

Xingjia Li | Engineering | Best Researcher Award

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Dr. Xingjia Li | Engineering | Best Researcher Award

Senior Engineer at Shanghai Liangxin Electrical Co. Ltd, China

Dr. Xingjia Li is a promising early-career researcher who earned his Ph.D. in Mechanical Engineering from Jiangsu University in 2023. He is currently a Postdoctoral Associate at the postdoctoral workstation of Shanghai Liangxin Electrical Co., Ltd. in Shanghai, China. His research focuses on robotics and electrical systems, with a particular emphasis on sensor data processing using machine learning techniques. Dr. Li is dedicated to advancing human-centered applications by enhancing the reliability, intelligence, and security of robotic systems in daily life. His interdisciplinary approach integrates mechanical engineering, electronics, and artificial intelligence, aligning with the evolving demands of modern technology. While still in the early stages of his research career, his industry collaboration and applied research focus position him as a strong candidate for future leadership in his field. Dr. Li’s work holds potential for significant contributions to smart systems and intelligent automation in real-world environments.

Professional Profile 

ORCID Profile

Education

Dr. Xingjia Li obtained his Ph.D. in Mechanical Engineering from Jiangsu University, Zhenjiang, China, in 2023. During his doctoral studies, he focused on the integration of robotics and intelligent systems, building a strong foundation in both theoretical and applied aspects of mechanical and electrical engineering. His education emphasized sensor systems, automation, and machine learning, which prepared him for interdisciplinary research and practical implementation in advanced robotics. Dr. Li demonstrated strong academic performance and research capabilities throughout his graduate studies, contributing to academic discussions and research forums. His educational background reflects a rigorous training in engineering principles, analytical thinking, and innovation, which has shaped his approach to problem-solving in complex systems. Through research projects, seminars, and collaboration with faculty, he developed a deep understanding of how mechanical systems can be enhanced through intelligent control and data-driven methods, laying the groundwork for his postdoctoral research and future contributions to intelligent automation.

Professional Experience

Following his Ph.D., Dr. Xingjia Li joined the postdoctoral workstation at Shanghai Liangxin Electrical Co., Ltd., a key player in the electrical technology industry. In this role, he has been actively involved in research and development, focusing on advanced robotics and intelligent systems. His work emphasizes real-world implementation of sensor-based machine learning techniques to enhance system performance, reliability, and human-machine interaction. At Liangxin, Dr. Li collaborates with both engineering teams and academic partners to design and improve intelligent robotic systems that can operate efficiently in complex environments. His professional experience bridges academia and industry, allowing him to apply theoretical models to practical challenges in automation and electrical systems. This hands-on engagement with cutting-edge technologies has not only expanded his technical skill set but also positioned him as a valuable contributor in the emerging fields of smart manufacturing and AI-powered industrial automation, where reliability and adaptive performance are critical.

Research Interest

Dr. Xingjia Li’s research interests lie at the intersection of robotics, electrical systems, and machine learning, with a strong focus on sensor data processing for human-centered applications. He is passionate about enhancing the intelligence, reliability, and safety of robotic systems operating in dynamic environments. His work aims to empower robots with the ability to interpret complex sensory inputs through machine learning algorithms, thereby enabling real-time decision-making and adaptive behavior. He is particularly interested in applications that improve quality of life, such as assistive robotics, industrial automation, and intelligent monitoring systems. By integrating advanced data analytics and control strategies, Dr. Li seeks to develop systems that can function autonomously with minimal human intervention while maintaining high levels of trust and safety. His interdisciplinary approach combines the strengths of mechanical design, signal processing, and artificial intelligence, positioning him to contribute meaningfully to the advancement of next-generation robotics and smart systems.

Award and Honor

As a rising researcher in the field of intelligent robotics, Dr. Xingjia Li is at the beginning of his professional recognition journey. While specific awards and honors have not been listed in the available information, his acceptance into a postdoctoral research position at Shanghai Liangxin Electrical Co., Ltd. itself signifies recognition of his academic potential and technical proficiency. The opportunity to work in a dedicated industrial research environment reflects a high level of trust in his expertise and capability to contribute to meaningful innovation. His early involvement in cutting-edge projects and interdisciplinary work also positions him as a strong candidate for future academic and industrial awards. As he continues to publish research, develop prototypes, and contribute to real-world solutions, it is expected that Dr. Li will accumulate professional honors that recognize his growing impact in the fields of robotics, electrical systems, and intelligent automation technologies.

Conclusion

Dr. Xingjia Li is an emerging researcher whose interdisciplinary expertise bridges mechanical engineering, robotics, and artificial intelligence. With a strong educational foundation from Jiangsu University and practical postdoctoral experience at Shanghai Liangxin Electrical Co., Ltd., he is well-positioned to make significant contributions to the field of intelligent systems. His research aims to improve human-robot interaction and automation reliability through advanced sensor data processing and machine learning techniques. Though still in the early stages of his career, Dr. Li’s work shows great promise for practical impact in industry and society. His commitment to innovation, real-world application, and cross-disciplinary collaboration sets the stage for a distinguished research trajectory. With continued focus, publication, and recognition, Dr. Li has the potential to emerge as a thought leader in the development of smart, adaptive, and secure robotic systems that support both industrial and human-centered needs.

Publications Top Notes

Xiaoxu Liu | Engineering | Best Researcher Award

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Dr. Xiaoxu Liu | Engineering | Best Researcher Award

Associate Professor at Shenzhen Technology University, China

Dr. Xiaoxu Liu is an accomplished Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. He holds a Ph.D. in Electrical Engineering from the University of Northumbria and specializes in robust fault diagnosis, fault-tolerant control, stochastic systems, and multi-agent systems. Dr. Liu has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and Automatica, and has served as Associate Editor for IEEE Transactions on Industrial Informatics. He has led multiple nationally funded research projects, securing over 3 million RMB in grants. His work integrates control theory with data-driven methods, addressing challenges in cyber-physical systems. Recognized as a Shenzhen Overseas High-level Talent, he has received numerous awards for research excellence and student mentorship. With international research experience and significant editorial contributions, Dr. Liu is a prominent figure in intelligent systems and control, demonstrating both academic leadership and impactful research contributions.

Professional Profile 

Scopus Profile

Education

Dr. Xiaoxu Liu possesses a strong and progressive academic background in engineering and applied mathematics. He earned his Ph.D. in Electrical Engineering from the University of Northumbria in the UK (2014–2018), where he specialized in fault-tolerant control systems and robust estimation. Prior to this, he completed a Master’s degree in Operations Research and Cybernetics at Northeastern University (2012–2014), and a Bachelor’s degree in Information and Computing Science at the same university (2008–2012). His educational path reflects a solid foundation in both theoretical and applied aspects of control systems, cybernetics, and intelligent systems. This combination of mathematical rigor and engineering application has laid the groundwork for his interdisciplinary research approach. His international academic journey has also helped him build a global perspective and a collaborative mindset, both of which have been instrumental in his subsequent professional and research achievements.

Professional Experience

Dr. Xiaoxu Liu has built an impressive academic and research career marked by rapid progression and leadership. Since December 2021, he has served as an Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. Before that, he was an Assistant Professor at the same institution from 2018 to 2021. He also held research and teaching positions internationally, including as a Research Associate at the Faculty of Mathematics, City University of Hong Kong, and as a Lecturer at the University of Northumbria. Throughout these roles, Dr. Liu has led cutting-edge research projects, mentored students, and contributed to institutional development. He has acted as the principal investigator for numerous funded research programs, reflecting his capacity to lead independently and strategically. His experience demonstrates not only academic proficiency but also a sustained commitment to advancing intelligent systems research and fostering interdisciplinary collaboration in both teaching and applied engineering contexts.

Research Interest

Dr. Xiaoxu Liu’s research spans several high-impact areas within intelligent systems and control engineering. His primary interests include robust fault diagnosis, fault-tolerant control, stochastic nonlinear systems, and multi-agent systems. He also ocuses on cyber-physical systems and data-driven control, areas highly relevant to Industry 4.0 and autonomous system applications. Dr. Liu’s work often combines theoretical rigor with practical relevance, leveraging modern tools like deep reinforcement learning and Takagi-Sugeno fuzzy models to address real-world challenges such as actuator faults in UAVs or wind turbine resilience. His interdisciplinary approach blends classical control theory with artificial intelligence, enhancing system adaptability and reliability. His research outputs—published in top-tier journals like IEEE Transactions on Industrial Electronics—demonstrate not only novelty but also applicability to emerging technologies. Dr. Liu’s ability to connect robust theory with practical implementations positions him as a thought leader in intelligent manufacturing and autonomous system control.

ward and Honor

Dr. Xiaoxu Liu has received multiple awards that recognize his research excellence, academic leadership, and contributions to engineering education. He was honored as a Shenzhen Overseas High-level Talent in 2019, highlighting his strategic value to China’s academic and technological development. He has earned several Best Paper and Best Presentation Awards from prestigious conferences and journals, such as the IEEE Industrial Electronics Society and Processes. Dr. Liu also received the IEEE IES Student Paper Travel Award and various recognitions for his mentorship of student teams who achieved national-level prizes in robotics and circuit design competitions. These accolades underscore both the quality and impact of his scholarly work and his dedication to student development. His involvement as an Associate Editor for IEEE Transactions on Industrial Informatics and reviewer for top IEEE journals further validates his status as a trusted expert in his field. These honors collectively reflect his rising prominence in the global research community.

Conclusion

In summary, Dr. Xiaoxu Liu stands out as a highly capable and accomplished researcher in the field of intelligent control systems. With a solid educational foundation, diverse professional experience across top institutions, and a research portfolio that blends theoretical innovation with real-world application, he exemplifies academic excellence. His focus on robust fault diagnosis, resilient control systems, and data-driven approaches addresses some of the most pressing challenges in cyber-physical systems and smart manufacturing. Recognized nationally and internationally through numerous awards, editorial roles, and funded projects, Dr. Liu has established himself as a leader in his domain. He continues to advance the field through impactful publications, student mentorship, and collaborative projects. His trajectory reflects not only technical expertise but also a broader commitment to scientific progress and educational excellence. As such, Dr. Liu is highly deserving of recognition through accolades such as the Best Researcher Award.

Publications Top Notes

  • Title: Joint Observer Based Fault Tolerant Control for Discrete-Time Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables

    • Authors: Xiaoxu Liu, Risheng Li, Zhiwei Gao, Bowen Li, Tan Zhang

    • Year: 2025

  • Title: Multiagent Formation Control and Dynamic Obstacle Avoidance Based on Deep Reinforcement Learning

    • Authors: Zike Yuan, Chenhao Yao, Xiaoxu Liu, Zhiwei Gao, Wenwei Zhang

    • Year: 2025

  • Title: Fault Estimation for Cyber–Physical Systems with Intermittent Measurement Transmissions via a Hybrid Observer Approach

    • Authors: Jingjing Yan, Chao Deng, Weiwei Che, Xiaoxu Liu

    • Year: 2024

    • Citations: 5

  • Title: Reinforcement Learning-Based Fault-Tolerant Control for Quadrotor UAVs Under Actuator Fault

    • Authors: Xiaoxu Liu, Zike Yuan, Zhiwei Gao, Wenwei Zhang

    • Year: 2024

    • Citations: 12

Vassilios Sikavitsas | Chemical Engineering | Best Researcher Award

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Prof. Vassilios Sikavitsas | Chemical Engineering | Best Researcher Award 

Professor at University of Oklahoma, United States

Professor Vassilios I. Sikavitsas is a distinguished researcher and educator in biomedical and chemical engineering at the University of Oklahoma. With a Ph.D. in Chemical Engineering from SUNY Buffalo and postdoctoral experience at Rice University, his work focuses on tissue engineering, cancer therapeutics, and bioreactor technologies. He has authored numerous high-impact publications and holds patents related to bone tissue engineering and scaffold design. Recognized multiple times as Best Professor by chemical engineering students, he has also mentored award-winning graduate researchers. His research bridges fundamental science and clinical application, notably in cancer exosome-based therapies and dynamic in vitro tumor models. Sikavitsas actively contributes to the scientific community through editorial board service and memberships in leading professional societies such as AIChE, BMES, and TERMIS. His commitment to interdisciplinary innovation, student development, and translational impact positions him as a leading figure in his field and a strong candidate for the Best Researcher Award.

Professional Profile

Google Scholar
Scopus Profile

Education

Professor Vassilios I. Sikavitsas holds a strong academic foundation in chemical engineering. He earned his Ph.D. (2000) and M.S. (1995) in Chemical Engineering from the State University of New York at Buffalo, where he built his expertise in biomaterials and tissue engineering. Prior to his graduate studies in the United States, he obtained a Diploma in Chemical Engineering from Aristotle University of Thessaloniki, Greece, in 1991. His educational trajectory reflects a progressive focus on biomedical applications within engineering, which laid the groundwork for his future research in regenerative medicine and bioreactor technologies. This combination of classical chemical engineering training and biomedical specialization has enabled him to operate at the intersection of engineering and life sciences, a hallmark of his interdisciplinary research. The international scope of his education also contributes to his broad perspective on engineering challenges and biomedical innovation.

Professional Experience

Professor Sikavitsas has built a distinguished academic career at the University of Oklahoma, where he currently serves as a Professor in the School of Chemical, Biological, and Materials Engineering and is affiliated with the Institute of Biomedical Engineering, Science, and Technology. He joined the university as an Assistant Professor in 2002 and was progressively promoted to Associate Professor in 2008 and Full Professor in 2015. His academic journey began with a postdoctoral research appointment in the Department of Bioengineering at Rice University from 2000 to 2002, where he deepened his expertise in tissue engineering. Throughout his academic appointments, he has established a dynamic and productive research laboratory, collaborated across disciplines, and contributed significantly to curriculum development in bioengineering. In addition to his academic duties, he serves on editorial boards and remains active in professional societies, enhancing his engagement with the broader scientific and engineering communities.

Research Interest

Professor Sikavitsas’s research is centered around tissue engineering, regenerative medicine, cancer biology, and bioreactor design. He specializes in the development of 3D biomimetic scaffolds, dynamic in vitro tumor models, and bone tissue constructs using advanced flow perfusion systems. His work investigates the role of mechanical stimulation and surface modifications in cell differentiation and tissue regeneration. In recent years, he has expanded into cutting-edge cancer research, exploring exosome-based drug delivery systems and tumor-immune interactions. His interdisciplinary projects bridge chemical engineering principles with biomedical applications, contributing to both fundamental understanding and clinical translation. Notable innovations include US patents on scaffold technology and tissue construct production. With an emphasis on bioreactor modeling and oxygen transport optimization, his work has practical implications in both regenerative therapies and anti-cancer strategies. His lab’s ability to combine experimental and computational methods distinguishes his contributions in the field of biomedical engineering.

Award and Honor

Professor Sikavitsas has received numerous awards and recognitions that reflect his excellence in research, teaching, and mentorship. He has been honored multiple times as the “Best Chemical Engineering Professor” by senior undergraduate students at the University of Oklahoma, recognizing his dedication to teaching and student engagement. As a research advisor, he has mentored students who have won prestigious accolades, including the Biomedical Engineering Society’s Best Dissertation Award and several Best Poster Awards at regional and national conferences. His achievements are further highlighted by multiple editorial board appointments in respected journals like the Journal of Functional Biomaterials and Scientifica (tissue engineering section). Additionally, his professional affiliations with AIChE, BMES, the Biomaterials Society, and TERMIS underscore his standing in the scientific community. These recognitions demonstrate his well-rounded excellence as a researcher, educator, and mentor, making him a strong role model and leader in his academic field.

Conclusion

Professor Vassilios I. Sikavitsas is a highly accomplished researcher and educator whose work bridges chemical engineering and biomedical science. His academic background, combined with over two decades of professional experience, has positioned him as a leader in tissue engineering, regenerative medicine, and cancer therapeutic research. His innovative work on bioreactors, scaffolds, and cancer exosomes has resulted in numerous peer-reviewed publications, patents, and awards. Equally committed to mentorship and education, he has been recognized for excellence in teaching and for guiding students toward national-level accolades. His involvement in editorial boards and leading scientific societies demonstrates a commitment to the advancement of science and engineering at large. Professor Sikavitsas’s sustained contributions to both research and academic service, along with his interdisciplinary impact, make him a compelling candidate for honors such as the Best Researcher Award. His career reflects a balance of innovation, collaboration, and academic leadership.

Publications Top Notes

  • Title: Fluid flow increases mineralized matrix deposition in 3D perfusion culture of marrow stromal osteoblasts in a dose-dependent manner
    Authors: GN Bancroft, VI Sikavitsas, J Van Den Dolder, TL Sheffield, CG Ambrose, et al.
    Year: 2002
    Citations: 901

  • Title: Biomaterials and bone mechanotransduction
    Authors: VI Sikavitsas, JS Temenoff, AG Mikos
    Year: 2001
    Citations: 815

  • Title: Mineralized matrix deposition by marrow stromal osteoblasts in 3D perfusion culture increases with increasing fluid shear forces
    Authors: VI Sikavitsas, GN Bancroft, HL Holtorf, JA Jansen, AG Mikos
    Year: 2003
    Citations: 595

  • Title: Formation of three‐dimensional cell/polymer constructs for bone tissue engineering in a spinner flask and a rotating wall vessel bioreactor
    Authors: VI Sikavitsas, GN Bancroft, AG Mikos
    Year: 2002
    Citations: 541

  • Title: Design of a flow perfusion bioreactor system for bone tissue-engineering applications
    Authors: GN Bancroft, VI Sikavitsas, AG Mikos
    Year: 2003
    Citations: 529

  • Title: In vitro generated extracellular matrix and fluid shear stress synergistically enhance 3D osteoblastic differentiation
    Authors: N Datta, QP Pham, U Sharma, VI Sikavitsas, JA Jansen, AG Mikos
    Year: 2006
    Citations: 521

  • Title: Effect of flow perfusion on the osteogenic differentiation of bone marrow stromal cells cultured on starch‐based three‐dimensional scaffolds
    Authors: ME Gomes, VI Sikavitsas, E Behravesh, RL Reis, AG Mikos
    Year: 2003
    Citations: 468

  • Title: Effect of bone extracellular matrix synthesized in vitro on the osteoblastic differentiation of marrow stromal cells
    Authors: N Datta, HL Holtorf, VI Sikavitsas, JA Jansen, AG Mikos
    Year: 2005
    Citations: 388

  • Title: Flow perfusion enhances the calcified matrix deposition of marrow stromal cells in biodegradable nonwoven fiber mesh scaffolds
    Authors: VI Sikavitsas, GN Bancroft, JJ Lemoine, MAK Liebschner, M Dauner, et al.
    Year: 2005
    Citations: 247

  • Title: Flow perfusion culture of marrow stromal osteoblasts in titanium fiber mesh
    Authors: J van den Dolder, GN Bancroft, VI Sikavitsas, PHM Spauwen, JA Jansen, et al.
    Year: 2003
    Citations: 205

  • Title: Pre‐culture period of mesenchymal stem cells in osteogenic media influences their in vivo bone forming potential
    Authors: H Castano‐Izquierdo, J Álvarez‐Barreto, J Dolder, JA Jansen, AG Mikos, et al.
    Year: 2007
    Citations: 203

  • Title: Tuning the biomimetic behavior of scaffolds for regenerative medicine through surface modifications
    Authors: NR Richbourg, NA Peppas, VI Sikavitsas
    Year: 2019
    Citations: 196

  • Title: Flow perfusion improves seeding of tissue engineering scaffolds with different architectures
    Authors: JF Alvarez-Barreto, SM Linehan, RL Shambaugh, VI Sikavitsas
    Year: 2007
    Citations: 171

  • Title: Polypyrrole thin films formed by admicellar polymerization support the osteogenic differentiation of mesenchymal stem cells
    Authors: H Castano, EA O’Rear, PS McFetridge, VI Sikavitsas
    Year: 2004
    Citations: 158

  • Title: Influence of the in vitro culture period on the in vivo performance of cell/titanium bone tissue‐engineered constructs using a rat cranial critical size defect model
    Authors: VI Sikavitsas, J Dolder, GN Bancroft, JA Jansen, AG Mikos
    Year: 2003
    Citations: 150