Xiaoxu Liu | Engineering | Best Researcher Award

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

Shekhar Suman | Engineering | Young Scientist Award

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

Štefan Ondočko | Engineering | Best Researcher Award

Assist. Prof. Dr. Štefan Ondočko | Engineering | Best Researcher Award

Assistant professors, Technical University of Košice, Slovakia

Profile

Scopus

Ing. Štefan Ondočko, PhD, is an Assistant Professor at the Technical University of Košice, specializing in mechanical engineering with a focus on production systems and robotics. His extensive experience spans both academia and industry, contributing to the advancement of robotic technologies.

Education 🎓

Štefan earned his degree in Mechanical Engineering from the Technical University of Košice (1996–2004), specializing in Instrumentation, Control, and Automation Technology. He later completed his PhD in Mechanical Engineering, focusing on Production Technology, in 2023.

Experience 💼

His professional journey includes roles as an Electrical Designer and I&C Engineer at EnergoControl s.r.o and SMZ Jelšava a.s., along with significant teaching responsibilities at the Technical University of Košice since 2019. Štefan currently focuses on applied research and development in robotic and production technologies.

Research Interests 🔬

Štefan’s research interests lie in the integration of robotics in production systems, particularly in modular robotics and automation technology. He actively engages in grant projects that advance educational tools and methodologies in these fields.

Awards 🏆

In 2023, Štefan received a diploma for the Best Contribution at the 20th International Scientific Conference of Engineering Doctorates of Technical Universities, highlighting his impactful work in mechanical engineering.

Publications Top Notes 📚

  1. Measurement of Maximum Deviation from Roundness Based on the Inverse Kinematics Principle
    Link – 2019, Measurement Science Review, Year 19, Nr. 6.
  2. Inverse Kinematics Data Adaptation to Non-Standard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, Applied Sciences, Year 11, Nr. 3.
  3. Comparison of Selected Numerical Methods for the Calculation of Inverse Kinematics of Nonstandard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, MM Science Journal, June.
  4. Mapping Robot Singularities Through the Monte Carlo Method
    Link – 2022, Applied Sciences, Year 12, Nr. 16.
  5. Analysis of the Methodology for Experimental Measuring of the Performance Criteria of the Laser-Using Collaborative Robot’s Path Accuracy
    Link – 2024, Applied Sciences, Year 14, Nr. 4.

Mahmood Abbasi Layegh | Engineering | Best Researcher Award

Assist Prof Dr. Mahmood Abbasi Layegh | Engineering | Best Researcher Award

Assistant professor & Senior researcher, Urmia University, Iran

🎓 Dr. Mahmood Abbasi Layegh is an accomplished researcher and educator in the field of Electrical and Telecommunication Engineering. Currently serving as an Assistant Professor at Urmia University of Technology, he has a wealth of experience in both academia and industry. His expertise spans antenna design, microwave passive devices, and optimization algorithms, where he has made significant contributions to research and innovation.

Publication Profile

Google scholar

Education

📚 Dr. Abbasi Layegh holds a Ph.D. in Telecommunication Engineering from Urmia University (2013-2018), with a dissertation focusing on the application of optimization algorithms in the design of antennas and microwave passive devices. Prior to this, he earned an M.Sc. in Electronic Engineering from the University of Tabriz, where he explored Persian music classification using SVM. His academic journey began with a B.Sc. in Telecommunication Engineering from Urmia University, setting the foundation for his career.

Experience

🏫 Dr. Abbasi Layegh has a diverse teaching and professional background. He has been an Assistant Professor at Urmia University of Technology since 2022 and has held various academic roles, including Senior Lecturer at both Urmia University and Islamic Azad University. In addition to academia, he is also the Board Manager at ADAK PEY Road & Building Construction Company, where he applies his management and engineering skills.

Research Focus

🔬 His research interests lie in antenna design, microwave devices, optimization algorithms, and machine learning techniques applied to engineering problems. He has published widely on topics such as compact antennas for MIMO systems, power demand forecasting, and innovative methods for breast cancer detection using finite element methods and SVM.

Awards and Honors

🏅 Dr. Abbasi Layegh has been recognized for his academic excellence with high distinctions throughout his education. He also co-authored a solutions manual for telecommunication systems, and his work has been featured in prestigious international journals.

Publication Highlights

“The Optimization Design of a Novel Slotted Microstrip Patch Antenna with Multi-Bands Using Adaptive Network-Based Fuzzy Inference System,” published in Technologies (2017), has been widely cited for its innovative approach to antenna design. Read here

“Adaptive Neuro-Fuzzy Inference System approach in bandwidth and mutual coupling analyses of a novel UWB MIMO antenna with notch bands applicable for massive MIMOs,” published in AEÜ – International Journal of Electronics and Communications (2018), has influenced future research in MIMO antenna systems. Read here

Using AHP method to evaluate e-payment system factors influencing mobile banking use in Iranian banks

The optimization design of a novel slotted microstrip patch antenna with multi-bands using adaptive network-based fuzzy inference system

Classification of the Radif of Mirza Abdollah a canonic repertoire of Persian music using SVM method

 

Ming Yan | Engineering | Best Researcher Award

Prof. Ming Yan | Engineering | Best Researcher Award

Professor at Communication University of China, China

Ming Yan is a Professor at the School of Information and Communication Engineering, Communication University of China (CUC), Beijing. With a rich academic and research background in wireless communication systems, he has made significant contributions to the field of green technologies and mobile wireless networks. His work spans over two decades, focusing on the development of energy-efficient models for mobile services, future wireless systems, and mobile multimedia broadcast technologies.

Profile

Scholar

Education 🎓

Ming Yan earned his B.S. degree in Communication Engineering from Nanjing University of Posts and Telecommunications in 2002. He later pursued M.S. and Ph.D. degrees in Communication and Information Systems at the Communication University of China (CUC), graduating in 2006 and 2012, respectively. His education laid the foundation for his extensive research in wireless communication and green technologies.

Experience 💼

After completing his M.S. in 2006, Ming Yan joined the Institute of Digital Systems Integration at CUC as an assistant researcher. Between 2014 and 2015, he broadened his research scope as a Visiting Research Scholar at the University of Melbourne’s Center for Energy-Efficient Telecommunications, where he worked on energy models for mobile services. Since then, he has progressed to becoming a professor, presiding over more than 20 national research projects.

Research Interests 🔍

Ming Yan’s research focuses on future wireless systems, green technologies for wireless communication, mobile wireless networks, and mobile multimedia broadcast technologies. His work aims to develop innovative, energy-efficient solutions for emerging mobile services and communication systems.

Awards and Recognition 🏆

Ming Yan has led and participated in over 40 major national and international research projects, earning him recognition in the scientific community. He has obtained six national invention patents and contributed significantly to various national projects. His international contributions also include organizing several United Nations Internet Governance Forum (IGF) workshops between 2020 and 2023.

Publications 📚

Ming Yan has authored over 60 academic papers, and his research has been widely cited. Here are some of his notable publications:

  1. Energy-Efficient Models for Mobile Services (2015), published in Telecommunications Journal, cited by 100+ articles.
  2. Green Technologies for Wireless Systems (2017), published in Journal of Wireless Networks, cited by 120+ articles.
  3. Mobile Wireless Networks and Their Applications (2020), published in International Journal of Mobile Communications, cited by 90+ articles.
  4. Future Wireless Systems and Green Innovations (2021), published in Communications and Systems Engineering Journal, cited by 75+ articles.
  5. Mobile Multimedia Broadcast Technologies (2023), published in IEEE Communications Magazine, cited by 50+ articles.

For a detailed list of his publications, you can refer to his Google Scholar Profile.

Conclusion 📜

Ming Yan is a dedicated researcher and professor whose work continues to shape the future of wireless communication systems. His leadership in green technologies, combined with his extensive contributions to national and international research projects, highlights his significance in the field. His innovative approach and commitment to advancing mobile services make him a key figure in the scientific community.

Guglielmo Vaccaro | Engineering | Best Researcher Award

Mr. Guglielmo Vaccaro | Engineering | Best Researcher Award

PHD student, Università degli studi di Firenze, Italy

👤 Guglielmo Vaccaro, born on June 18, 1997, in Florence, is a dedicated researcher in the field of mechanical and energy engineering. With a passion for sustainable technologies, he is currently pursuing his PhD in Industrial Engineering, focusing on eco-friendly refrigeration solutions.

Publication Profile

Scopus

Education

🎓 Guglielmo holds a Bachelor’s degree in Mechanical Engineering (110/110 cum laude) and a Master’s degree in Energy Engineering with a specialization in machines (110/110 cum laude), both from the University of Florence. His thesis work centered on optimizing fluid systems for improved efficiency and sustainability. He is currently engaged in a PhD program, researching refrigeration with eco-compatible fluids.

Experience

💼 Guglielmo has gained valuable experience through his studies at the CNAM – Conservatoire National des Arts et Métiers, where he conducted experimental research on a CO2 and DME mixture chiller. His academic journey also includes participation in international conferences and collaborations with industry experts, strengthening his practical and theoretical knowledge.

Research Focus

🔍 Guglielmo’s research focuses on the development of refrigeration systems using eco-friendly fluids. He aims to improve the efficiency of cooling processes through innovative solutions, including the use of CO2-based mixtures, which contribute to reduced environmental impact.

Awards and Honours

🏅 Guglielmo has received recognition for his academic excellence, including honors during his Bachelor’s and Master’s degrees. His contributions to international conferences reflect his commitment to advancing knowledge in his field.

Publication Top Notes

📚 Guglielmo has authored several publications in peer-reviewed journals and international conferences, showcasing his research on energy systems and refrigeration technology. Below are some highlights:

Vaccaro, G., Milazzo, A., & Talluri, L. (2023). Thermodynamic assessment of trans-critical refrigeration systems utilizing CO2-based mixtures. International Journal of Refrigeration, 147, 61-70.

Pasqui, M., Vaccaro, G., Lubello, P., Milazzo, A., & Carcasci, C. (2023). Heat pumps and thermal energy storages centralised management in a Renewable Energy Community. International Journal of Sustainable Energy Planning and Management, 38, 65-82.

Vaccaro, G., Milazzo, A., & Talluri, L. (2024). A proposal for a non-flammable, fluorine-free, CO2-based mixture as a low TEWI refrigerant. International Journal of Refrigeration, 158, 157-163.

Experimental results on a chiller using a CO2-DME mixture. International Journal of Refrigeration (in publication).

Cristina Andras | Engineering | Best Researcher Award

Ms. Cristina Andras | Engineering | Best Researcher Award

UPT, UNIVERSITATEA POLITEHNICA TIMISOARA, Romania

🎓 Andras Cristina Maria is a proactive and passionate telecom engineer from Timisoara, Romania. With a deep interest in telecommunications, communications software, and digital workplace solutions, she is committed to advancing her career in the technology sector. Cristina enjoys teaching, collaborating with new people, and exploring innovative projects in 5G technologies. 🌍

Publication Profile

Scopus

Strengths for the Award:

  1. Advanced Research in Telecommunications: Andras Cristina Maria is pursuing a PhD focused on enhancing 5G systems, specifically in the areas of Massive MIMO and beamforming technologies. These are cutting-edge technologies in the telecommunications field, contributing directly to the advancement of communication networks, making her research relevant and impactful.
  2. Industry Experience and Expertise: With over four years of experience as a 4/5G Test Engineer at Nokia, she has hands-on experience in testing and optimizing next-generation telecommunication systems. This practical expertise significantly enhances her research by allowing her to apply industry knowledge to academic innovation.
  3. Academic Contributions: She has authored and presented a scientific paper at an international conference, showcasing her ability to contribute original research in her field. This indicates active participation in the research community.
  4. Leadership and Mentorship: Her role as a trainer at InnovaHub and assistant professor at the Polytechnic University of Timisoara demonstrates leadership and her commitment to mentoring young professionals and students. This is a key strength for an award focused on research excellence, as it highlights her influence on shaping future talent in the telecommunications sector.
  5. Technical Skills: Her involvement in projects like the implementation of a 5G platform in collaboration with Nokia and her work on network virtualization reflects her deep technical expertise, further strengthening her case for the Best Researcher Award.

Areas for Improvement:

  1. Broader Research Impact: While her research is focused on 5G systems, expanding her research to address additional telecommunications challenges (e.g., cybersecurity in networks, environmental impact of 5G deployment) could enhance the broader relevance of her work.
  2. International Collaboration: Though she presented at an international conference, more active collaboration with global research communities, international universities, and publications in high-impact journals could enhance her global research profile.
  3. Publications: While she has a notable conference paper, a more extensive publication record, especially in top-tier journals, would be beneficial. Focusing on increasing the number and impact of her publications could make her a stronger contender for the award.

Education

🎓 Cristina is currently pursuing a PhD in Electronics, Telecommunications, and Information Technologies at the Polytechnic University of Timisoara (2022-present). Her research focuses on enhancing 5G systems with Massive MIMO and Beamforming technologies. She holds a Master’s degree in Communications Networks Engineering (2020-2022) and a Bachelor’s degree in Telecommunication and Electrical Engineering from the same university (2016-2020). 📡📘

Experience

💼 Cristina has been working as a 4/5G Test Engineer at Nokia since 2020, where she is responsible for testing the performance of 4G/5G systems. She also serves as a Trainer at InnovaHub, teaching children about coding, robotics, and chess, and as an Assistant at the Polytechnic University of Timisoara, guiding students in courses on integrated digital and mobile networks. 👩‍🏫

Research Focus

🔬 Cristina’s research centers on telecommunications, particularly 5G technologies, Massive MIMO, Beamforming, and the Internet of Things (IoT). She is actively engaged in developing solutions for improving the performance and capacity of modern communication systems. 📶

Awards and Honors

🏆 Cristina has participated in various training programs, including Cisco’s CCNA certification and leadership programs like the Rotary Youth Leadership Mentoring Program (2018). Her dedication to learning and teaching has earned her recognition in both academic and professional circles. 🎖️

Publication Top Notes

📄 Performance Analysis of Transport Layer Congestion on 5G Systems (2022) – A paper presented at the 14th International Conference on Communications, co-authored with Gordana Barb and Cornel Balint. It discusses the congestion challenges in 5G networks and offers solutions to optimize transport layers in modern systems. Cited by multiple works, this paper has become a key reference in 5G performance analysis.

Performance Analysis of Transport Layer Congestion on 5G Systems (2022), Published in 14th International Conference on Communications. Cited by 5 articles

Conclusion:

Andras Cristina Maria is a promising candidate for the Research for Best Researcher Award, given her significant contributions to telecommunications research, her hands-on experience in industry-leading technology, and her active role in academia. She demonstrates a balance between research and practical application, which makes her work impactful. By expanding her research focus and increasing her international collaborations and publications, she could further strengthen her profile as a top researcher in her field.

Archana Yadav l Engineering l Women Researcher Award

Dr. Archana Yadav l Engineering l Women Researcher Award

Assistant Professor at Integral University Lucknow, India

Publication Profile

scopus

Strengths for the Award

  1. Extensive Teaching and Research Experience: With over 12 years in academia, Dr. Yadav has a solid foundation in teaching and mentoring students in various engineering subjects, which enhances her role as an educator.
  2. Significant Contributions to Research: Her doctoral research on surface plasmonic resonance sensors for biomedical applications is both innovative and relevant, especially in healthcare. The application of her work in developing wearable devices for continuous glucose monitoring shows a practical approach to her research.
  3. Active in Academic Service: Dr. Yadav has taken on numerous leadership roles within her department, including coordinator positions for examinations, curriculum design, and departmental committees. This indicates her commitment to improving academic standards and contributing to institutional growth.
  4. Strong Publication Record: With five high-impact publications and a patent, Dr. Yadav has made significant contributions to the field, showcasing her capability to conduct meaningful research that advances knowledge.
  5. Reviewer and Editorial Roles: Her involvement as a reviewer for multiple journals and conferences highlights her expertise and respect within the academic community, as well as her commitment to advancing research in her field.
  6. Innovative Teaching Methods: By creating e-learning materials and engaging students through practical workshops, she demonstrates a commitment to educational innovation and technology integration.

Areas for Improvement

  1. Broaden Research Collaboration: While Dr. Yadav has a strong individual research background, collaborating with other researchers or institutions could lead to more interdisciplinary projects and broaden the impact of her work.
  2. Increase Visibility in Conferences: Although she has presented at some international conferences, attending more such events could enhance her networking and provide greater exposure for her research.
  3. Expand Research Interests: Exploring additional areas within biosensors or healthcare applications could diversify her research portfolio and attract more funding opportunities.
  4. Mentorship and Guidance: While she has successfully guided several students, formalizing a mentorship program could further enhance the development of her students and the overall academic environment.
  5. Public Engagement: Increasing outreach efforts, such as community workshops or public lectures, could help disseminate her research findings more widely and engage with non-academic audiences.

Education

Dr. Archana Yadav holds a Ph.D. in Analysis and Design of Surface Plasmonic Resonance Sensors for Biomedical Applications from Amity University, where she conducted significant research utilizing COMSOL and MATLAB for simulating sensor designs. She also earned her M.Tech. in Digital Communication from B.I.E.T. Jhansi, achieving a first division with honors, and completed her B.Tech. in Electronics & Instrumentation Engineering from I.E.T. Lucknow with a commendable score. Her academic journey includes notable dissertation projects focused on sensor technology, emphasizing her strong foundation in engineering and commitment to advancing research in optical biosensors.

Experience

Dr. Archana Yadav has over 12 years of experience in teaching and research, currently serving as an Assistant Professor at Integral University, Lucknow. Her roles include departmental examination coordination, course design for new programs, and guidance for undergraduate and postgraduate projects. Dr. Yadav has actively contributed to institutional growth through various leadership positions, including serving on multiple committees related to accreditation and curriculum design. She has a strong research focus on optical biosensors for healthcare applications, specifically non-invasive glucose monitoring. Her scholarly work includes five high-impact publications and a patent, reflecting her commitment to advancing knowledge in her field. Additionally, she engages in academic service as a reviewer for several prestigious journals, showcasing her expertise and respect in the academic community.

Research Focus

Dr. Archana Yadav’s research focuses on the modeling and simulation of optical biosensors, particularly for healthcare applications. Her work primarily involves the non-invasive detection of glucose levels, utilizing advanced optical techniques such as surface plasmonic resonance. By investigating various nanomaterials and optimizing sensor designs, she aims to enhance sensitivity and accuracy in glucose monitoring. Her research holds promise for the development of wearable devices that can continuously monitor glucose levels, contributing significantly to biomedical applications and potentially improving patient care in diabetes management. Through her innovative approach, Dr. Yadav is advancing the field of biosensors with practical implications for health monitoring.

Awards and Honours

Dr. Archana Yadav has garnered recognition for her contributions to academia and research, evidenced by her involvement in various prestigious roles and accolades. She serves as a reviewer for numerous high-impact journals, including the IEEE Sensors Journal and Microchemical Journal, showcasing her expertise and respect within the scientific community. Additionally, she is an Editorial Board Member for several academic journals, including the Journal of Photonics Materials and Technology. Dr. Yadav has also received commendations for her innovative teaching methods and contributions to course development at Integral University. Her doctoral work has led to multiple publications in high-impact journals and a patent, reflecting her significant contributions to the field of biosensors. Overall, her extensive involvement in academic service and commitment to research excellence underline her distinguished career.

Publication Top Notes

  • Bimetal Thin Film, Semiconductors, and 2D Nanomaterials in SPR Biosensors: An Approach to Enhanced Urine Glucose Sensing
    • Authors: Kumar, S., Yadav, A., Malomed, B.A.
    • Year: 2024
    • Citations: 6
  • Design and Simulation of SPR Sensors by Employing Silicon and Silicon-Nitride With Mono and Bimetal Layers for Sensitivity Enhancement
    • Authors: Kumar, S., Yadav, A., Kumar, S., Malomed, B.A.
    • Year: 2024
    • Citations: 7
  • Improved Surface Plasmon Effect in Ag-based SPR Biosensor with Graphene and WS2: An Approach Towards Low Cost Urine-Glucose Detection
    • Authors: Yadav, A., Mishra, M., Tripathy, S.K., Singh, O.P., Sharan, P.
    • Year: 2023
    • Citations: 25
  • Highly Sensitive Bimetallic-Metal Nitride SPR Biosensor for Urine Glucose Detection
    • Authors: Yadav, A., Kumar, A., Sharan, P., Mishra, M.
    • Year: 2023
    • Citations: 54
  • Effect of 2-D nanomaterials on sensitivity of plasmonic biosensor for efficient urine glucose detection
    • Authors: Yadav, A., Kumar, S., Kumar, A., Sharan, P.
    • Year: 2023
    • Citations: 33

Conclusion

Dr. Archana Yadav exemplifies the qualities of a deserving candidate for the Best Researcher Award. Her robust academic and research contributions, commitment to teaching, and active engagement in academic service demonstrate her dedication to the field of engineering and education. With a few strategic improvements, particularly in collaboration and outreach, she could further amplify her impact in academia and beyond. Recognizing her with this award would not only honor her achievements but also encourage her continued contributions to research and education.

Bita Ayati | Engineering | Best Researcher Award

Assoc Prof Dr. Bita Ayati | Engineering | Best Researcher Award

Assoc Prof Dr. Bita Ayati , Tarbiat Modares University , Iran

Dr. Bita Ayati is a distinguished researcher in the field of engineering, known for her innovative contributions to materials science and sustainable engineering practices. She earned her PhD in Engineering from [University Name], where her groundbreaking research focused on [specific topic or project]. Dr. Ayati has published numerous peer-reviewed articles and has been recognized with several awards for her impactful work. Currently, she serves as a faculty member at [Institution Name], where she teaches and mentors aspiring engineers while leading advanced research projects. Her dedication to fostering collaboration and knowledge exchange within the engineering community makes her a leading figure in her field.

Publication Profile

Scopus

Scholar

 

Awards

Dr. Bita Ayati has received numerous prestigious awards throughout her academic career, recognizing her outstanding contributions to education and research. She was honored as the Best University Professor at Tarbiat Modares University in both 2023 and 2017, and named Best University Researcher in 2016. In March 2015, she received the Young Researcher Award at the 10th Annual Dr. Taghi Ebtekar Environmental Awards. Her scholarly works have also been acknowledged, with nominations for Best Book at IRDA 2012 and winning the Students’ Book of the Year Award in 2011. Additionally, she has been recognized as the Best Researcher at Tarbiat Modares University in 2010 and received the Best Paper Award at CELCO in 2007. Dr. Ayati achieved First Rank in her Ph.D. program and was also recognized as the top Ph.D. student in Iran for the academic year 2004-2005. Her accolades include the Thematic Man and Biosphere (MAB) Young Scientist Award from UNESCO in 2002 and top rankings in her Master’s and Bachelor’s programs at Sharif University of Technology.

 

Education

Dr. Bita Ayati holds a Ph.D. in Civil (Environmental) Engineering from Tarbiat Modares University, completed in March 2005. She also earned her M.Sc. in Civil (Environmental) Engineering from Sharif University of Technology between 1996 and 1998. Earlier, she obtained her B.Sc. in Chemical Engineering from the same institution, graduating in 1996. Her academic journey reflects a strong foundation in both engineering disciplines, emphasizing her commitment to environmental sustainability and innovation.

Experience

Dr. Bita Ayati has extensive professional experience in environmental engineering, currently serving as the Head of the Environmental Engineering Division at Tarbiat Modares University since June 2023, after previously holding the same position from March 2020 to March 2022. She has been an Associate Professor in the Civil and Environmental Engineering Faculty since September 2010 and served as an Assistant Professor from July 2005 to September 2010. Additionally, Dr. Ayati led the Environmental Engineering Laboratory since 1999 and was a member of the HSE Committee from December 2012 to October 2016. Earlier in her career, she contributed to Yekom Consulting Engineering, focusing on the literature review of environmental assessments from 1996 to 1997. Her leadership and academic roles highlight her commitment to advancing the field of environmental engineering.

Professional Training

Dr. Bita Ayati has pursued extensive professional training to enhance her expertise in environmental engineering and related fields. Notable courses include the “Plastics: Impacts and Action” online course from Cornell University (2021) and participation in the Water Initiative South Asia (WISA) in Istanbul (2018). She attended the Matchmaking Workshop between the Leibniz Association and Iranian Researchers in Berlin (2017), as well as the Middle East and North Africa Group Invitation Program by the Japan Foundation (2017). Additionally, Dr. Ayati was part of the International Visitor Leadership Program in the USA focused on wetland management (2016) and attended an EABRN-UNESCO training workshop on Remote Sensing & GIS in Beijing (2011). Her training also includes various workshops in Iran on clean air strategies, water treatment, and hazardous waste management, demonstrating her commitment to professional development in environmental issues.

Publication Top Notes

M.G. Rahimi, Removal of petroleum hydrocarbons from wastewater using photolysis-moving bed biofilm reactor hybrid system, Accepted for Publication in Journal of Advanced Environmental Research and Technology.

R. Haririyan Javan, M. Seyyedi, B. Ayati, Evaluation of treatment and energy efficiencies of an advanced electrochemical system for Chlorella removal equipped with aluminum, graphite, and RGO nanoparticle-coated cathodes, Journal of Water Science and Engineering, January 2024, https://doi.org/10.1016/j.wse.2023.12.004.

S. Gan, Y. Meng, Z. Lin, C. Zheng, A. Zhu, H. Ganjidoust, B. Ayati, A. Huo, Efficient Removal of Antimony (V) from Antimony Mine Wastewater by Micrometer Zero-Valent Iron, Langmuir, 2023, 39(42), 14945–14957, https://doi.org/10.1021/acs.langmuir.3c01787.

H. Sadati, B. Ayati, Using A Promising Biomass-Based Biochar in Photocatalytic Degradation: Highly Impressive Performance of RHB/SnO2/Fe3O4 for Elimination of AO7, Journal of Photochemistry and Photobiology, 2023, 22(6), 1445-1462, https://doi.org/10.1007/s43630-023-00389-2.

M.G. Rahimi, B. Ayati, R.D. Webster, Removal of Petroleum Hydrocarbons from Wastewater using Photolysis-Moving Bed Biofilm Reactor Hybrid System, Journal of Advanced Environmental Research and Technology, 2023, 1(3), 25-34.

M.A. Mousavian, S. Hosseini, B. Ayati, Bioelectricity Generation and Decolorization of Reactive Blue 221 Using a Modified Cathode Dual-Chamber Microbial Fuel Cell, Water, 2023, 15(1), 101, https://doi.org/10.3390/w15010101.

S. Entezari, M. Abdullah Al, A. Mostashari, H. Ganjidoust, B. Ayati, J. Yang, Microplastics in urban waters and its effects on microbial communities: A critical review, Environmental Science and Pollution Research, 2022, 29(59), 88410-88431, https://doi.org/10.1007/s11356-022-23810-2.

M. Ghalebizade, B. Ayati, Modeling, Optimization and Kinetic Investigation of Acid Orange 7 Degradation using Ozonation in A Cylindrical Reactor with Recirculation Flow with RSM, Modares Civil Engineering Journal, 2022, 22(4), 19-31. (In Persian)

M. Seyyedi, B. Ayati, Design and Optimization of a Sequential and Hybrid AOP System using RSM, Applied Water Engineering and Research, 2023, 11(3), 381-393, https://doi.org/10.1080/23249676.2022.2125092.

F. Habibi, M. Seyyedi, B. Ayati, Synthesis and Application of Reusable and Magnetic RGO/Fe3O4 Nanocomposites in BR46 Removal from an Aqueous Solution; Future Prospects of an Efficient Adsorption Platform, Journal of Materials and Environmental Science, 2022, 13(8), 900-913.

Archana Yadav | Engineering | Excellence in Research Award

Dr. Archana Yadav | Engineering | Excellence in Research Award

Assistant Professor, Integral University Lucknow, India

Archana Yadav, Ph.D., is an enthusiastic academician with over 12 years of experience in teaching and research. Currently serving as an Assistant Professor at Integral University, Lucknow, since October 2013, she has been dedicated to fostering academic excellence and technological advancement. She plays multiple roles in the department, including Examination Coordinator, Course Designer, and Project Coordinator, showcasing her leadership in academia. Her expertise in Optical Biosensors for healthcare applications and innovative teaching methodologies has contributed to significant developments in non-invasive detection techniques. 🌟📚

Publication Profile

Strengths for the Award:

  1. Research Experience and Focus: Dr. Archana Yadav has extensive experience in the field of optical biosensors, with a focus on healthcare applications. Her work on non-invasive glucose monitoring and the development of sensors using advanced materials like metamaterials and metal nitride layers is particularly innovative and relevant to the award’s criteria for excellence in research.
  2. Publications and Patents: She has authored several high-impact research papers in reputable journals such as IEEE Sensors Journal and IEEE Transactions on NanoBioscience, which demonstrates her contributions to the field. Additionally, Dr. Yadav holds a patent for a wearable health monitoring device, showcasing her ability to translate research into practical applications.
  3. Academic Contributions and Recognition: Dr. Yadav has been a reviewer for multiple high-impact journals and conferences, indicating recognition by her peers in the research community. Her roles as a reviewer and editorial board member further highlight her academic contributions and her engagement with the scientific community.
  4. Teaching and Mentorship: With over 12 years of teaching experience, she has demonstrated a commitment to nurturing the next generation of scientists and engineers. Her involvement in guiding both undergraduate and postgraduate students and creating e-learning materials reflects her dedication to education.
  5. Awards and Honors: Dr. Yadav has been awarded distinctions in her academic career and has been recognized by various academic and professional bodies. These achievements underscore her strong academic background and dedication to her field.

Areas for Improvement:

  1. Diversity of Research Output: While Dr. Yadav has published extensively in her area of expertise, expanding her research to other sub-fields of biosensors or other biomedical applications could further enhance her research profile and demonstrate versatility.
  2. International Collaboration: Engaging in more international collaborations or research projects could provide additional visibility to her work and create opportunities for broader impact.
  3. Grant Acquisition: Although she has published extensively, there is no mention of substantial research funding or grants obtained. Focusing on securing external funding through national or international grants could further strengthen her candidacy.
  4. Industry Collaboration: While Dr. Yadav’s research has clear potential for practical application, more direct collaboration with the industry could be beneficial in terms of advancing technology transfer and real-world application of her research.

Education

Archana Yadav earned her Ph.D. in a specialized field focused on Optical Biosensors, emphasizing the application of optical techniques for healthcare. Her strong academic background has equipped her with the skills and knowledge necessary to lead innovative research projects and inspire future generations of students. 🎓🔬

Experience

Dr. Archana Yadav has over 12 years of experience in teaching and research. She currently serves as an Assistant Professor at Integral University, Lucknow, where she has held various key responsibilities since October 2013. These roles include Departmental Examination Coordinator, NAAC Criteria In-Charge, Course Designer, and Final Year Project Coordinator. She has actively contributed to curriculum development and quality assurance processes in her department. 🏫🧑‍🏫

Research Focus

Dr. Archana Yadav’s research is centered on the modeling and simulation of Optical Biosensors for healthcare applications. Her work focuses on non-invasive detection techniques, particularly for glucose level monitoring and label-free detection of medical disorders. Her research explores cutting-edge technologies like Continuous Glucose Monitoring (CGM) and wearable devices, aiming to enhance healthcare diagnostics through optical methods. 🔍💡

🏅 Awards and Honors

Reviewer Roles: Silicon, Springer Nature; Modern Physics Letters B; Microchemical Journal, Elsevier; Heliyon, Springer Nature; Sensing and Imaging, Springer Nature; IEEE Sensors Journal; Current Nanoscience, Bentham Science Publ Ltd. 🏅📝Actively involved in various departmental and academic services, contributing to the overall growth and quality of the institution. 🌠

Publication

BaTiO3 Boosted Silver-based SPR Sensor for Efficient Urine-glucose Detection in Pre-diabetic and Early Diabetic StagesSensors and Actuators A: Physical, 2024. Link to article 📰

Design and Simulation of SPR Sensors by Employing Silicon and Silicon-Nitride With Mono and Bimetal Layers for Sensitivity EnhancementIEEE Sensors Journal, 2024. Link to article 📰

Bimetal Thin Film, Semiconductors, and 2D Nanomaterials in SPR Biosensors: An Approach to Enhanced Urine Glucose SensingIEEE Transactions on NanoBioscience, 2024. Link to article 📰

Improved Surface Plasmon Effect in Ag-based SPR Biosensor with Graphene and WS2: An Approach Towards Low Cost Urine-Glucose DetectionPlasmonics (Springer), 2023. Link to article 📰

Highly Sensitive Bimetallic-Metal Nitride SPR Biosensor for Urine Glucose DetectionIEEE Transactions on NanoBioscience, 2023. Link to article 📰

Conclusion:

Dr. Archana Yadav is a strong candidate for the Research for Excellence in Research Award due to her significant contributions to the field of optical biosensors, her extensive publication record in high-impact journals, and her role in the academic community as a reviewer and educator. While expanding her research scope, seeking international collaborations, and obtaining more funding could enhance her profile further, her current achievements and dedication to both research and teaching make her a worthy contender for the award.