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.

Zhen Li | Reliability and Systems Engineering | Best Researcher Award

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Prof. Dr. Zhen Li | Reliability and Systems Engineering | Best Researcher Award

Leader | Jiangsu University of Science and Technology | China

Prof. Dr. Zhen Li is an accomplished researcher and academic with extensive expertise in aerospace systems engineering, signal processing, and formal verification of software safety. He completed his higher education in business management, signal and information processing, and aerospace systems, culminating in a Ph.D. from a prestigious university. Over his career, he has held academic positions ranging from lecturer to professor, demonstrating consistent dedication to teaching and research. He has led research groups, authored a notable book, and published numerous papers in high-impact journals, with his work receiving significant citations. Prof. Li has also contributed to professional societies, including IEEE and the Chinese Artificial Intelligence Society, and has been recognized with national-level awards for his research excellence. His international collaborations and leadership roles highlight his influence in advancing research in engineering and artificial intelligence. With a strong record of innovation and mentorship, he continues to show great potential for future high-impact contributions.

Profiles: ORCID

Featured Publications

1. Li, Z., Tian, L., Sun, C., Wu, Y., Wang, D., & Miao, H. (2022). A systematic research on system recovery based on improved genetic algorithm and quotient resilience model under attack and damage. International Journal of Computational Intelligence Systems.

2. Liu, Y., Li, Z., Wang, D., Miao, H., & Wang, Z. (2021). Software defects prediction based on hybrid particle swarm optimization and sparrow search algorithm. IEEE Access.

3. Wu, Y., Li, Z., Sun, C., Wang, D., Zhao, B., & Yu, Z. (2021). Measurement and control of system resilience recovery by path planning based on improved genetic algorithm. Measurement and Control.

4. Li, Z. (2021). Safety ontology modeling and verification on MIS of ship-building and repairing enterprise. KSII Transactions on Internet and Information Systems.

5. Li, Z., Li, T., Wu, Y., Liu, Y., Miao, H., Wang, D., & Precup, R.-E. (2021). Software defect prediction based on hybrid swarm intelligence and deep learning. Computational Intelligence and Neuroscience.

Dongfeng Qi | Engineering | Best Researcher Award

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Prof. Dongfeng Qi | Engineering | Best Researcher Award

Professor | Shandong University of Technology | China

Prof. Dongfeng Qi is a leading researcher in laser manufacturing and material processing, specializing in femtosecond and nanosecond laser applications for advanced materials and flexible electronics. His work integrates theoretical modeling with experimental techniques to develop innovative micro- and nanostructures, including copper and silicon-based materials, phase-change films, and smart electronic devices. Prof. Qi has made substantial contributions to understanding laser-material interactions and patterning technologies, with high-impact publications in top-tier journals. He demonstrates strong interdisciplinary collaboration and mentorship, fostering international research partnerships and the growth of emerging scientists. His research is recognized for both fundamental insights and practical applications in photonics, energy storage, and flexible electronics. Prof. Qi’s consistent innovation, high-quality experimental work, and leadership in the field establish him as a leading figure in laser-based materials science. According to Scopus, he has 535 citations, 71 documents, and an h-index of 13.

Profiles: Scopus | Google Scholar

Featured Publications

1. Programming nanoparticles in multiscale: optically modulated assembly and phase switching of silicon nanoparticle array; L. Wang, Y. Rho, W. Shou, S. Hong, K. Kato, M. Eliceiri, M. Shi, …; ACS Nano, vol. 12, no. 3, pp. 2231–2241, 2018; 39 citations

2. Time-resolved analysis of thickness-dependent dewetting and ablation of silver films upon nanosecond laser irradiation; D. Qi, D. Paeng, J. Yeo, E. Kim, L. Wang, S. Chen, C. P. Grigoropoulos; Applied Physics Letters, vol. 108, no. 21, 2016; 37 citations

3. Femtosecond laser-induced large area of periodic structures on chalcogenide glass via twice laser direct-writing scanning process; X. Yu, Q. Zhang, D. Qi, S. Tang, S. Dai, P. Zhang, Y. Xu, X. Shen; Optics & Laser Technology, vol. 124, 105977, 2020; 34 citations

4. Progress in the design, nanofabrication, and performance of metalenses; Z. Wang, Y. Wu, D. Qi, W. Yu, H. Zheng; Journal of Optics, vol. 24, no. 3, 033001, 2022; 31 citations

5. Progress in preparation and applications of Te-As-Se chalcogenide glasses and fibers; Z. Wu, Y. Xu, D. Qi, Q. Nie, X. Zhang; Infrared Physics & Technology, vol. 102, 102981, 2019; 31 citations

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.

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 

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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

Carlo Pettorruso | Engineering | Excellence in Innovation Award

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Dr. Carlo Pettorruso | Engineering | Excellence in Innovation Award

Research fellow at Politecnico di milano, Italy

Carlo Pettorruso is a civil engineer and research fellow at Politecnico di Milano, specializing in the evaluation and seismic safety of existing infrastructure, particularly bridges. Currently pursuing a PhD in Architecture, Built Environment, and Construction Engineering, his research focuses on innovative strategies for the seismic retrofit of bridges and non-destructive inspection methods for prestressed concrete structures. He has actively contributed to national research projects funded by organizations such as FABRE, ANAS, and INAF, playing a key role in developing technical guidelines adopted by Italy’s Ministry of Infrastructure. His work bridges the gap between academic research and practical application, aiming to enhance the resilience and safety of critical infrastructure. With a strong academic background and hands-on experience in field assessments and structural analysis, Pettorruso demonstrates a commitment to innovation and public safety in civil engineering. His contributions reflect a deep integration of advanced research with national infrastructure priorities.

Professional Profile 

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Education

Carlo Pettorruso has a robust academic background in civil engineering, having completed all his higher education at Politecnico di Milano. He earned a Bachelor’s degree in Civil Engineering in 2015, followed by a Master’s degree in Civil Engineering with a focus on Advanced Structural Analysis in 2018, graduating with top marks (110/110). Currently, he is pursuing a PhD in Architecture, Built Environment, and Construction Engineering, with his research centered on seismic retrofit strategies for existing bridges. His PhD candidacy spans from 2019 to 2024 and has already produced impactful contributions in structural safety. The continuity of his education within one of Italy’s most prestigious technical universities has provided him with a solid theoretical foundation, practical research exposure, and long-term mentorship under leading experts in structural engineering and infrastructure resilience.

Professional Experience

Carlo Pettorruso has gathered significant professional experience through research fellowships and project participation primarily at Politecnico di Milano. Since 2023, he has served as a research fellow specializing in non-destructive evaluation of prestressed reinforced concrete bridges. He has been actively involved in multiple infrastructure assessment projects funded by the FABRE Consortium and other national organizations. His responsibilities include conducting field inspections, evaluating structural safety, and developing technical guidelines in line with governmental regulations. Additionally, he contributed to the seismic evaluation of high-precision structures such as the Large-Scale Telescope at CTAO-South, reflecting his adaptability across complex engineering contexts. Carlo has worked under prominent professors and collaborated with public institutions, ensuring that his work translates into practical policy and engineering standards. His professional journey reflects a consistent focus on improving structural diagnostics, seismic resilience, and bridge safety, bridging academic research and real-world engineering applications.

Research Interest

Carlo Pettorruso’s research interests lie at the intersection of structural engineering, seismic safety, and infrastructure diagnostics. He is particularly focused on non-destructive techniques for evaluating the condition of prestressed concrete bridges and on seismic isolation strategies to enhance the resilience of existing transportation infrastructure. His work spans both theoretical modeling and practical implementation, with strong involvement in the creation and refinement of technical guidelines for infrastructure monitoring and risk classification. He is also engaged in research related to the behavior of special structures, such as astronomical telescopes, under high seismic loads. His projects often involve the development of new methodologies for bridge inspection, retrofitting strategies, and policy-oriented safety frameworks. Overall, his interests reflect a strong commitment to innovation, public safety, and the sustainable management of civil infrastructure, especially in the face of seismic hazards and aging structural systems.

Award and Honor

While specific named awards are not listed in the provided CV, Carlo Pettorruso has consistently demonstrated academic excellence and professional recognition through top honors in education and participation in nationally significant research programs. His Master’s degree was awarded with full marks (110/110), and his ongoing PhD research has been conducted with distinction (noted as “Lode” – high praise). He has been selected to contribute to multiple high-impact, government-funded projects led by the Ministry of Infrastructure, ANAS, and the FABRE Consortium—an acknowledgment of his technical competence and innovative approach. His involvement in regulatory framework development for infrastructure safety suggests he is trusted within national expert networks. While formal individual honors may not be documented, his research roles, funding affiliations, and academic accolades collectively speak to his reputation as an emerging leader in infrastructure innovation and safety assessment.

Conclusion

Carlo Pettorruso is a highly dedicated and technically skilled civil engineering researcher whose work combines academic rigor with real-world impact. With a solid educational foundation and active participation in nationally important research projects, he has built a career focused on structural diagnostics, seismic safety, and innovative approaches to infrastructure management. His contribution to the development of national guidelines for bridge safety, his commitment to non-destructive evaluation techniques, and his role in applied research underline a strong potential for continued innovation in the field. While still in the early stages of his career, his achievements demonstrate a deep understanding of the engineering challenges facing modern infrastructure and a proactive approach to solving them. Carlo Pettorruso exemplifies the qualities of a forward-thinking researcher whose work directly supports public safety and sustainable development in civil engineering, making him a strong candidate for recognition through research and innovation awards.

Publications Top Notes

  • Design and experimental assessment of a prestressed lead damper with straight shaft for seismic protection of structures

    • Authors: V Quaglini, C Pettorruso, E Bruschi

    • Year: 2022

    • Citations: 30

  • Experimental and numerical assessment of prestressed lead extrusion dampers

    • Authors: V Quaglini, C Pettorruso, E Bruschi

    • Year: 2021

    • Citations: 26

  • Cold bending of vertical glass plates: Wind loads and geometrical instabilities

    • Authors: V Quaglini, S Cattaneo, C Pettorruso, L Biolzi

    • Year: 2020

    • Citations: 19

  • Supplemental energy dissipation with prestressed Lead Extrusion Dampers (P-LED): Experiments and modeling

    • Authors: C Pettorruso, E Bruschi, V Quaglini

    • Year: 2021

    • Citations: 12

  • Experimental and numerical investigation of a dissipative connection for the seismic retrofit of precast RC industrial sheds

    • Authors: V Quaglini, C Pettorruso, E Bruschi, L Mari

    • Year: 2022

    • Citations: 7

  • Design and experimental assessment of a novel damper with high endurance to seismic loads

    • Authors: V Quaglini, E Bruschi, C Pettorruso, M Sartori

    • Year: 2023

    • Citations: 6

  • Dimensionamento di dispositivi dissipativi per la riabilitazione sismica di strutture intelaiate

    • Authors: V Quaglini, E Bruschi, C Pettorruso

    • Year: 2022

    • Citations: 6

  • Characterization and numerical assessment of Lead Extrusion Damper with adaptive behavior

    • Authors: E Bruschi, F Macobatti, C Pettorruso, V Quaglini

    • Year: 2020

    • Citations: 6

  • Comparison of linear and nonlinear procedures for the analysis of the seismic performance of straight multi-span RC bridges

    • Authors: C Pettorruso, V Quaglini

    • Year: 2024

    • Citations: 3

  • Assessment of bridge Post‐Tensioning systems using non‐destructive (ND) inspection methods

    • Authors: V Quaglini, C Pettorruso, S Cattaneo, D Rossi

    • Year: 2023

    • Citations: 3

  • Strategies for the rehabilitation of existing bridges by seismic isolation

    • Author: C Pettorruso

    • Year: 2023

    • Citations: 2

  • Experimental and numerical assessment of isolation seismic device for retrofit of industrial shed

    • Authors: L Mari, V Quaglini, C Pettorruso, E Bruschi

    • Year: 2021

    • Citations: 2

  • Conceptual Design of Seismic Retrofit of Existing Bridges by Deck Isolation: Assessment of Effectiveness

    • Authors: C Pettorruso, V Quaglini

    • Year: 2024

    • Citations: 1

  • Fluid Viscous Dampers for seismic protection of bridges: a State of the Art

    • Authors: L Zoccolini, E Bruschi, C Pettorruso, D Rossi, V Quaglini

    • Year: 2024

    • Citations: 1

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.

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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

Shekhar Suman | Engineering | Young Scientist Award

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Dr. Shekhar Suman | Engineering | Young Scientist Award

Research Scientist at Borah University of Texas at Tyler, United States

Dr. Shekhar Suman Borah is a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. He holds a Ph.D. in Electronics & Communication Engineering from IIIT Guwahati, with a strong academic foundation in Analog VLSI Design, Memristors, and Signal Processing. His prolific research output includes over 25 publications in reputed journals and conferences, four book chapters, and editorial and peer-review contributions to leading journals. Dr. Borah has also secured research funding for AI-based hardware-software systems and contributed to projects at Bhabha Atomic Research Centre. His work spans advanced circuit design, environmental sensing, and precision agriculture using UAVs. He has delivered invited talks and participated in international conferences across India, the USA, and Japan. A committed IEEE member, Dr. Borah combines technical excellence with interdisciplinary collaboration, positioning him as a promising candidate for awards recognizing young scientific talent.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Shekhar Suman Borah has a strong academic foundation in electronics and communication engineering. He earned his Ph.D. from the Indian Institute of Information Technology (IIIT) Guwahati in 2022, where he specialized in analog signal processing and current-mode circuit design. Prior to this, he completed his M.Tech with First Class from KIIT University, Bhubaneswar, and his B.E. from Visvesvaraya Technological University, Karnataka, also with First Class honors. His academic journey reflects a consistent focus on electronics, signal processing, and circuit design, particularly in analog VLSI systems. During his doctoral studies, he developed expertise in the use of memristors, current-mode building blocks, and oscillator/filter design, forming the basis for much of his later research. His educational trajectory demonstrates both depth and specialization, equipping him with the technical proficiency and theoretical grounding necessary for advanced research and innovation in modern electronics and intelligent systems.

Professional Experience

Dr. Borah currently serves as a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. Previously, he was a Research Associate at the Bhabha Atomic Research Centre (BARC), Mumbai, contributing to projects in the Radiation Safety Systems Division. He has over five years of academic teaching assistance experience in labs related to analog VLSI, communication systems, and integrated circuits. His role in grant-funded projects—particularly an AI-based tutoring tool for hardware-software co-design—underscores his engagement in interdisciplinary research. He has collaborated with several international researchers and contributed to publications across areas such as memristive circuits, environmental sensing, UAV applications, and edge computing. His growing leadership in research, combined with a solid background in academic and national research institutions, marks him as a well-rounded scientist with both applied and theoretical expertise across diverse sectors in electronics and intelligent system design.

Research Interest

Dr. Borah’s research interests lie at the intersection of analog VLSI design, current-mode circuits, memristors, signal processing, and computer vision. He is particularly focused on designing energy-efficient, electronically tunable circuits using novel components like current differencing buffered amplifiers (CDBAs) and memristors. His recent work explores the integration of these devices into edge-computing architectures, environmental sensing systems, and wearable electronics. He is also involved in precision agriculture using AI and UAVs for tasks like weed detection and disease assessment, showcasing his multidisciplinary reach. Dr. Borah has a strong inclination toward practical applications of circuit theory, demonstrated by his contributions to automation, energy-efficient design, and AI-driven solutions. His ability to translate theoretical models into real-world engineering solutions makes his work impactful, especially in the context of smart devices and intelligent sensing systems. This diverse and innovative portfolio reflects both his technical depth and adaptability to emerging technological trends.

Award and Honor

Dr. Shekhar Suman Borah has received several awards that highlight his academic excellence and research impact. In 2020, he won the Best Paper Award at the Springer International Conference on Communication, Circuits, and Systems (iC3S) for his innovative work on grounded negative inductance simulation. Earlier in his academic career, he was awarded the SDR Scholarship in 2010 for academic excellence and the prestigious Anandoram Barooah Award by the Government of Assam in 2009 for securing First Class with Distinction in his 10th grade. These accolades reflect both early promise and sustained contributions to his field. His participation as a peer reviewer for reputed journals and conferences like IEEE and MDPI further underscores his professional standing. Additionally, his invited talks at prominent institutions and media appearances demonstrate recognition beyond academia. Collectively, these honors validate Dr. Borah’s trajectory as a high-performing researcher with significant potential for further contributions.

Conclusion

Dr. Shekhar Suman Borah stands out as a highly qualified young researcher with a well-rounded portfolio in education, research, and professional engagement. His academic background is strong and focused, his research contributions are diverse and impactful, and his professional roles demonstrate both leadership and collaboration. He has made meaningful strides in analog circuit design, memristive technologies, and intelligent sensing systems, with applications in agriculture, environmental monitoring, and wearable technology. His ability to secure research funding, contribute to peer-reviewed literature, and deliver invited talks reflects his growing recognition in the field. Dr. Borah’s consistent track record of innovation, coupled with his dedication to both academic excellence and real-world problem-solving, makes him a strong contender for recognition such as the Young Scientist Award. His work promises continued contributions to cutting-edge technologies in electronics and intelligent systems, positioning him as a rising figure in the global scientific community.

Publications Top Notes

  • Title: MOSFET-Based Memristor for High-Frequency Signal Processing
    Authors: M. Ghosh, A. Singh, S.S. Borah, J. Vista, A. Ranjan, S. Kumar
    Year: 2022
    Citations: 46

  • Title: Electronically tunable higher-order quadrature oscillator employing CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh, A. Ranjan
    Year: 2021
    Citations: 23

  • Title: Resistorless memristor emulators: Floating and grounded using OTA and VDBA for high-frequency applications
    Authors: M. Ghosh, P. Mondal, S.S. Borah, S. Kumar
    Year: 2022
    Citations: 20

  • Title: Third order quadrature oscillator and its application using CDBA
    Authors: M. Ghosh, S.S. Borah, A. Singh, A. Ranjan
    Year: 2021
    Citations: 17

  • Title: Simple Grounded Meminductor Emulator Using Transconductance Amplifier
    Authors: A. Singh, B. S, S., G. M.
    Year: 2021
    Citations: 12

  • Title: A novel memristive neural network circuit and its application in character recognition
    Authors: X. Zhang, X. Wang, Z. Ge, Z. Li, M. Wu, S.S. Borah
    Year: 2022
    Citations: 11

  • Title: CMOS CDBA Based 6th Order Inverse Filter Realization for Low-Power Applications
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2020
    Citations: 9

  • Title: Three Novel Configurations of Second Order Inverse Band Reject Filter Using a Single Operational Transresistance Amplifier
    Authors: S. Banerjee, S.S. Borah, M. Ghosh, P. Mondal
    Year: 2019
    Citations: 8

  • Title: Emerging Technologies for Automation in Environmental Sensing
    Authors: S.S. Borah, A. Khanal, P. Sundaravadivel
    Year: 2024
    Citations: 5

  • Title: Single VDTA Based Grounded Memristor Model and Its Applications
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 5

  • Title: Current Differencing Buffered Amplifier Based Memristive Quadrature Oscillator
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2021
    Citations: 4

  • Title: Higher order multifunction filter using current differencing buffered amplifier (CDBA)
    Authors: S.S. Borah, M. Ghosh, A. Ranjan
    Year: 2022
    Citations: 3

  • Title: A Novel Low-Power Electronically Tunable Higher-Order Quadrature Oscillator using CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2021
    Citations: 3

  • Title: CDBA Based Quadrature Sinusoidal Oscillator with Non-interactive Control
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 3

  • Title: Design of Thinned Linear Antenna Array using Particle Swarm Optimization (PSO) Algorithm
    Authors: S.S. Borah, A. Deb, J.S. Roy
    Year: 2019
    Citations: 3

Oladele Afolalu | Engineering | Best Researcher Award

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Dr. Oladele Afolalu | Engineering | Best Researcher Award

Postdoctoral Fellow at Durban University of Technology, South Africa

Dr. Oladele Felix Afolalu is a distinguished researcher and academic in the field of Electrical and Telecommunications Engineering. Born on August 29, 1976, in Nigeria, he has made significant contributions to the advancement of ICT, telecommunications, and enterprise networking. With a strong passion for innovation, he has worked extensively in academia, research, and industry collaborations to improve modern communication systems. Currently a Postdoctoral Fellow at the Durban University of Technology, South Africa, Dr. Afolalu has played a crucial role in developing cutting-edge solutions in 5G networks, interference coordination, and network optimization. His leadership in academic institutions, numerous publications, and participation in international conferences reflect his dedication to research excellence. As a member of several prestigious engineering societies, including IEEE (USA & South Africa), COREN, and MNSE, he continues to impact the engineering community through mentorship, teaching, and groundbreaking studies in the field of telecommunications and ICT.

Professional Profile

Education

Dr. Afolalu’s academic journey is marked by a strong foundation in electrical and electronic engineering, with degrees from top institutions in Nigeria and South Africa. He earned his Ph.D. in Electrical and Telecommunication Engineering from the University of Cape Town, South Africa, where he specialized in 5G network optimization and inter-cell interference coordination. Prior to that, he completed an M.Sc. in Electronic/Electrical Engineering from Obafemi Awolowo University, Nigeria, where his research focused on communication systems and signal processing. His undergraduate studies culminated in a B.Eng. (Hons.) in Electrical/Electronics Engineering from the Federal University of Technology, Akure. Additionally, he holds a National Diploma in Electrical/Electronics Engineering from Federal Polytechnic, Ado-Ekiti. His diverse academic background has provided him with expertise in ICT systems, telecommunications, and engineering education, equipping him to contribute significantly to cutting-edge research and technology advancements.

Professional Experience

Dr. Afolalu has amassed over two decades of experience in teaching, research, and academic administration. He served as Head of the Department and Principal Lecturer at Federal Polytechnic, Ede, Nigeria, where he played a key role in curriculum development, student mentorship, and research supervision. He also worked as an Adjunct Senior Lecturer and Acting Head of Department at Joseph Ayo Babalola University, where he was instrumental in advancing research initiatives in physics electronics. His postdoctoral research at Durban University of Technology, South Africa, involves cutting-edge projects in enterprise networking and ICT systems. Additionally, he has served as a tutor at the University of Cape Town, helping students enhance their understanding of telecommunication systems. Throughout his career, he has been actively involved in examination committees, research committees, and industrial training programs, contributing significantly to the development of engineering education in Nigeria and beyond.

Research Interests

Dr. Afolalu’s research is centered on wireless communication networks, telecommunications engineering, and ICT innovations. His primary focus is on 5G and beyond technologies, network optimization, and inter-cell interference coordination. His Ph.D. research on Ultra-Dense Networks (UDNs) has contributed to improving network efficiency and power allocation in next-generation communication systems. He has also explored the application of artificial intelligence in network performance enhancement, particularly in resource allocation and signal processing. Additionally, his research extends to renewable energy integration in communication networks, aiming for sustainable and efficient power management in ICT infrastructure. His contributions to machine learning applications in network traffic optimization and security have been recognized in top-tier journals. Through his extensive research, he aims to bridge the gap between theoretical telecommunications advancements and practical industry implementations, ensuring that emerging technologies are efficiently deployed for societal benefit.

Awards and Honors

Dr. Afolalu has been recognized for his outstanding contributions to research, engineering education, and technological innovation. He has received accolades for his work on 5G networks, including best paper awards at international conferences such as the Southern Africa Telecommunication Networks and Applications Conference (SATNAC). His research on carrier aggregation-enabled NOMA techniques for enhanced 5G network performance has gained global recognition. He has also been honored for his mentorship and academic leadership, particularly in the development of engineering curricula and innovative teaching methodologies. His membership in prestigious engineering societies such as IEEE, COREN, and MNSE further highlights his excellence in the field. Additionally, he has participated as a panelist and keynote speaker at workshops and conferences, where his expertise in wireless communication and ICT infrastructure has been widely acknowledged. His commitment to research and education continues to inspire future engineers and researchers globally.

Conclusion

Dr. Oladele Felix Afolalu has a strong research portfolio, significant academic experience, and notable contributions to ICT and 5G telecommunications. His leadership roles, professional memberships, and conference engagements make him a worthy candidate for the Best Researcher Award. Strengthening high-impact publications, industry collaborations, and international research engagements will further solidify his standing in the global research community.

Publications Top Notes

  1. Carrier Aggregation‐Enabled Non‐Orthogonal Multiple Access Approach Towards Enhanced Network Performance in 5G Ultra‐Dense Networks

    • Author(s): O Afolalu, N Ventura

    • Year: 2021

    • Citations: 10

  2. A Survey of Interference Challenges and Mitigation Techniques in 5G Heterogeneous Cellular Networks

    • Author(s): OF Afolalu, JO Petinrin, MA Ayoade

    • Year: 2016

    • Citations: 4

  3. Internet of Things and Software Applications in Patient Safety Adverse Event Detection and Reporting: A Comprehensive Literature Review

    • Author(s): OO Afolalu, SA Afolalu, OF Afolalu, OA Akpor

    • Year: 2024

    • Citations: 2

  4. Inter-Cell Interference Coordination in 5G Ultra-Dense Networks

    • Author(s): OF Afolalu

    • Year: 2021

    • Citations: 2

  5. Internet of Things Applications in Health Systems’ Equipment: Challenges and Trends in the Fourth Industrial Revolution

    • Author(s): OO Afolalu, OA Akpor, SA Afolalu, OF Afolalu

    • Year: 2024

    • Citations: 1

  6. Application of Particle Swarm Optimization Method to Economic Dispatch of Nigerian Power System Considering Valve-Point Loading Effect

    • Author(s): GA Adepoju, MA Tijani, MO Okelola, MA Ayoade, OF Afolalu

    • Year: 2021

    • Citations: 1

  7. Enterprise Networking Optimization: A Review of Challenges, Solutions, and Technological Interventions

    • Author(s): O Afolalu, MS Tsoeu

    • Year: 2025

    • Citations: Not available yet

  8. A Novel Security Solution for Efficient Connectivity in Software-Defined Wide Area Network (SD-WAN)

    • Author(s): O Afolalu, MS Tsoeu

    • Year: 2025

    • Citations: Not available yet

  9. Sickle Cell Disease Epidemiology and Management in Africa: Current Trends and Future Directions in Digital Health Technologies

    • Author(s): AO Olajumoke, O Akpor, AS Afolalu, OF Afolalu, HB Oyewole, AO Oke

    • Year: 2024

    • Citations: Not available yet

  10. Analysis of Spectrum Occupancy of Active FM Band within Federal Polytechnic Ede Northern Campus

  • Author(s): AK Adebayo, JO Agbolade, IA Bamikefa, OF Afolalu, MA Ayoade

  • Year: 2021

  • Citations: Not available

  1. Development of Induction Motor Monitoring System with Protection Against Abnormal Voltage, Current, and Temperature

  • Author(s): MA Ayoade, IA Bamikefa, MA Tijani, OF Afolalu, AK Adebayo

  • Year: 2018

  • Citations: Not available

  1. Effects of Angles of Inclinations on the Performances of Photovoltaic (PV) Arrays

  • Author(s): MA Ayoade, OF Afolalu, IA Bamikefa, MA Tijani, MA Sanusi

  • Year: 2017

  • Citations: Not available

  1. Development of a Wireless Induction Motor Unbalanced Voltage Detection and Control System for Hazardous Environments

  • Author(s): MA Ayoade, OF Afolalu, IA Bamikefa, AK Adebayo, MA Sanusi

  • Year: 2017

  • Citations: Not available