Jinming Liang | Engineering | Best Researcher Award

Mr. Jinming Liang | Engineering | Best Researcher Award

Nanjing University of Aeronautics and Astronautics | China

Mr. Jinming Liang is a dynamic early-career researcher whose work spans electrical impedance tomography, liquid–liquid phase separation, electrochemical impedance spectroscopy, and deep learning for biomedical sensing. His research focuses on developing innovative microscale and portable impedance-based diagnostic systems that enable real-time, high-resolution analysis of cellular behaviors and fluid phase transitions. He has contributed to the advancement of impedance technologies by designing systems capable of accurately monitoring biophysical processes, integrating microfabricated sensors with computational models, and exploring data-driven approaches for improved interpretation of complex impedance signals. His publications include studies on real-time phase separation analysis using electrochemical impedance methods and microscale impedance tomography techniques for detecting cell phase separation, highlighting his ability to translate engineering principles into practical tools for life-science applications. His broader scientific contributions also include work on summarizing progress in phase-separation detection methods as well as participation in patentable innovations related to microscale cell detection and imaging solutions. Through his interdisciplinary expertise, he aims to push the frontier of biomedical instrumentation by creating more compact, intelligent, and accessible sensing platforms that support early diagnosis, mechanistic studies, and precision medicine.

Profile: Orcid

Featured Publications

Liang, J., Zhao, W., Liu, K., Sun, B., Zhu, C., & Yao, J. (2025). Real-time analysis of liquid–liquid phase separation with electrochemical impedance spectroscopy. Microchemical Journal, 116076.

Liang, J., Gao, B., Liu, K., Chai, X., Ji, J., Sun, B., & Yao, J. (2025). Microscale electrical impedance tomography method for cell phase separation detection. IEEE Nanotechnology Magazine.

Elsayed Sallam | Engineering | Best Academic Researcher Award

Prof. Dr. Elsayed Sallam | Engineering | Best Academic Researcher Award

Prof. Dr. Elsayed Sallam | Tanta University | Egypt

Prof. Dr. Elsayed Abd Elhameed Sallam is an accomplished academic and researcher in Computers and Automatic Control Engineering with a distinguished career spanning several decades across Egypt, Germany, Qatar, and Saudi Arabia. He has served as Lecturer, Associate Professor, Department Head, and Emeritus Professor at leading universities, contributing significantly to engineering education and scientific research. His expertise bridges computer systems, control engineering, cybernetics, and applied mathematics, and he has played a vital role in developing curricula and supervising advanced degrees in his field. With a record of more than forty-two publications in reputed international journals and conferences across multiple countries, he has established himself as a thought leader in control theory, system identification, and computational approaches. Fluent in Arabic, English, and German, he has actively contributed to cross-cultural academic collaborations, technical education, and professional training, leaving a lasting impact on students, researchers, and academic institutions throughout his career.

Profile

Scopus

Education

Prof. Dr. Elsayed Sallam obtained his foundational engineering education in Electrical Power Engineering at Elmenoufiah University, where he gained core knowledge in power systems, circuits, and applied engineering sciences. His pursuit of advanced studies led him to Germany, where he specialized in cybernetics at Bremen University, receiving his Master of Science degree with a strong focus on systems theory, control, and applied mathematics. He further advanced his expertise by earning his doctorate degree in Electrical Engineering with a focus on cybernetics, completing a dissertation on the filtering of bilinear systems, a complex topic integrating advanced control methods, signal processing, and applied engineering mathematics. This academic journey provided him with a deep interdisciplinary understanding, blending theoretical knowledge with practical applications in system modeling, control algorithms, and computer-based analysis. His educational background across Egypt and Germany shaped his future contributions in teaching, research, and international academic collaboration across several universities worldwide.

Professional Experience

Prof. Dr. Elsayed Sallam has extensive professional and academic experience in engineering and technology. He began his career as a demonstrator before progressing through lecturer and associate professor roles, later becoming Head of the Computers and Automatic Control Department, and ultimately serving as an emeritus professor. His teaching experience includes a wide range of courses in computer programming, logic design, architecture, microprocessors, operating systems, control systems, and network engineering. Beyond Egypt, he contributed internationally as a lecturer at Qatar University and as head of the computer department at Northern Borders University in Saudi Arabia. His professional training also includes work with engineering and consulting companies in Germany, which enriched his applied knowledge in electronics, automation, and control systems. Over his career, he supervised multiple master’s and doctoral theses, contributed to evaluation committees, and participated in curriculum development, establishing a reputation as a committed educator and researcher in his discipline.

Awards and Honors

Prof. Dr. Elsayed Sallam’s academic and professional achievements are reflected in the recognition he has received through his career. He has earned respect in his field for supervising doctoral and master’s theses in computers and automatic control engineering, guiding students toward successful research contributions. His expertise has been sought to evaluate academic degrees at various universities, signifying his role as a trusted authority in engineering education and research. Serving as department head in multiple institutions highlights the recognition of his leadership and academic administration skills. His publications in internationally recognized journals and conferences across Europe, North America, and the Middle East underscore his global impact and scholarly reputation. Invitations to lecture and collaborate internationally reflect acknowledgment of his expertise in control systems and computer engineering. Collectively, these milestones serve as professional honors that demonstrate his influence, leadership, and commitment to advancing both research and education in engineering disciplines.

Research Focus 

Prof. Dr. Elsayed Sallam’s research focuses on systems engineering, cybernetics, and computer-based control applications, with an emphasis on stochastic optimal control, system identification, and filtering techniques. His doctoral research on filtering bilinear systems advanced knowledge in dynamic system modeling and control theory. Over the years, he expanded his work into computer networks, microprocessors, digital control, programmable logic controllers, and software engineering applications, creating a multidisciplinary research portfolio that connects control engineering with modern computational methods. His work emphasizes bridging theoretical frameworks with practical implementations, ensuring relevance to real-world engineering challenges. He has also contributed to research addressing environmental systems, stochastic processes, and algorithm analysis, reinforcing his versatility as a researcher. With more than forty-two publications presented and published in countries such as Canada, Spain, UAE, Austria, and Egypt, his research has reached a global audience, making contributions to both academic theory and applied engineering practice.

Publications

ActivFairNet: A novel framework for mitigating bias in deep learning networks using activation map-based fairness regularization.

Conclusion

The researcher appears highly suitable for pursuing work on ActivFairNet: A novel framework for mitigating bias in deep learning networks using activation map-based fairness regularization. Their strengths lie in their deep expertise in machine learning and neural network optimization, which provides a strong foundation for advancing fairness-aware AI models. A demonstrated ability to combine theoretical innovation with practical applicability strengthens the potential for impactful contributions in bias mitigation. The capacity to design frameworks that enhance both accuracy and ethical reliability in AI models adds to their credibility and makes them a strong candidate for recognition.

Tawakalitu Odubiyi | Engineering | Best Researcher Award

Dr. Tawakalitu Odubiyi | Engineering | Best Researcher Award

Research Associate at INTI International University | Malaysia

Dr. Tawakalitu Odubiyi is a Teaching and Research Associate with over six years of international experience spanning Germany, Malaysia, the UK, Finland, South Africa, and Nigeria. She holds a PhD in Civil Engineering from Technische Universität Berlin and a Master’s in Construction Management from the University of Johannesburg. Her expertise lies in Quantity Surveying, Civil Engineering, and the application of Digital Twin and BIM technologies in the built environment.

Profile:

Academic Background

Dr. Odubiyi holds a PhD in Civil Engineering from Technische Universität Berlin, Germany, where her research focused on digital transformation in construction. She also earned a Master of Technology in Construction Management from the University of Johannesburg, South Africa. Her academic background reflects a strong foundation in both technical and managerial aspects of the built environment.

Professional Experience:

Dr. Odubiyi has gained diverse research and teaching experience through various academic and industrial positions. She is currently serving as an Independent Researcher at INTI International University in Malaysia, where she conducts empirical research and leads seminars on sustainable technologies. Previously, she worked as a Research Scientist at Technische Universität Berlin, contributing to projects on business models for Cloud BIM and Digital Twin solutions. Her industry experience includes roles as a BIM Consultant at Bentley Systems in London and a BIM Researcher at Trimble Inc. in Finland, where she developed strategic digital roadmaps and conducted case studies on cost estimation and contract administration. She also served as a Teaching Assistant at the University of Johannesburg and as a Mentor and Lecturer at TU Berlin, demonstrating a strong commitment to student support and academic leadership.

Research and Publications:

Dr. Odubiyi has authored 16 scholarly articles using a mix of qualitative, quantitative, and grounded theory approaches. She has actively presented her findings at international conferences and workshops. Her research focuses on digital transformation in construction, cost management innovation, and the role of BIM in contract and project administration.

Areas of Expertise:

Her core areas of expertise include Quantity Surveying, Construction Management, BIM integration, contract administration (FIDIC, NEC), and curriculum design. She is proficient in BIM tools such as Autodesk Revit, Navisworks, CostX, and Bentley iTwin. She is also experienced in research methodology, grant writing, and academic mentoring across cross-cultural and distance learning environments.

Technical and Professional Skills:

Dr. Odubiyi is skilled in Agile methodologies and tools including Salesforce CRM, Confluence, Jira, Kanban, and BPMN. She has applied these in both academic project management and industry collaborations.

Awards and Recognition:

Dr. Odubiyi has received several prestigious awards, including the Marie Curie Horizon Fellowship from the European Union (2020), the Global Excellence Scholarship from the University of Johannesburg (2019), and the National Research Fellow Bursary (2018). In 2023, she received Community Impact Recognition from the Young Quantity Surveyors of Nigeria for her contributions to the profession.

Citation:

Cited by
All: 141
Since 2020: 132

h-index
All: 8
Since 2020: 8

i10-index
All: 7
Since 2020: 7

Publication Top Notes:

  • Using neural network model to estimate the rental price of residential properties
    2019
    21 citations

  • Strengths, weaknesses, opportunities and threats of virtual team in Nigerian construction industry
    2016
    21 citations

  • Information and communication technology application challenges in the construction industry: A narrative review
    2019
    14 citations

  • A concise review of the evolution of information and communication technologies for engineering innovations
    2021
    13 citations

  • Impact of security on rental price of residential properties: evidence from South Africa
    2019
    13 citations

  • Barriers to implementing quality management system in the Industry 4.0 era
    2019
    12 citations

  • Strategies for building information modelling adoption in the South African construction industry
    2019
    12 citations

  • Impact of Green features on rental value of residential properties: evidence from South Africa
    2024
    8 citations

  • Assessing South African construction worker’s knowledge of modern technologies for effective material management
    2021
    6 citations

  • Evaluation of the use of modern technologies for effective material management in South African construction industry
    2019
    5 citations

  • Bridging the gap between academic and practice Quantity Surveying in Nigerian construction industry
    2019
    5 citations

  • Roles and effects of utilizing recent technologies on material management for construction work in South Africa
    2019
    4 citations

  • Forecasting rental values of residential properties: a neural network model approach
    2020
    3 citations

  • A model validation and predicting the rental values of residential properties using logistic regression model
    2020
    2 citations

  • Information and Communication Technologies for construction services in South Africa: A PROCSA Scope
    2021
    1 citation

  • An Evaluation of Information and Communication Technology Application in South African Construction Industry
    2019
    1 citation

Zhiyao Zhang | Engineering | Best Researcher Award

Prof. Zhiyao Zhang | Engineering | Best Researcher Award

Professor University of Electronic Science and Technology of China

Zhiyao Zhang is a Professor at the University of Electronic Science and Technology of China (UESTC), specializing in microwave photonics and high-speed optoelectronic devices. He earned his Ph.D. in Optical Engineering from UESTC in 2010. Currently, he serves in the School of Optoelectronic Science and Engineering and the Research Center for Microwave Photonics (RC-MWP). He was a Visiting Scholar at the University of Ottawa in 2017. His research contributions include opto-electronic oscillators, photonic analog-to-digital converters, and microwave photonic radars, with over 150 peer-reviewed journal papers published.

Profile

Research Gate

Scopus

🎓 Education

  • Ph.D. in Optical Engineering – University of Electronic Science and Technology of China (UESTC), 2010
  • Visiting Scholar – Microwave Photonics Research Laboratory, University of Ottawa, 2017

💼 Experience

  • Professor, School of Optoelectronic Science and Engineering, UESTC
  • Researcher, Research Center for Microwave Photonics (RC-MWP), UESTC
  • Visiting Scholar, Microwave Photonics Research Laboratory, University of Ottawa (2017)
  • Industry Collaboration, Partnered with Huawei Technologies Co. Ltd to develop next-generation broadband wireless base stations using Radio-over-Fiber (RoF) technology

🔬 Research Interests

  • Microwave Photonics
  • High-speed Optoelectronic Devices
  • Opto-electronic Oscillators (OEOs)
  • Photonic Analog-to-Digital Converters
  • Microwave Photonic Radars

🏆 Awards

  • Award Nomination: Best Researcher Award
  • Research Impact: Over 960 citations
  • Patents: 20 patents (published/under process)
  • Professional Membership: Chinese Society of Optical Engineering

📚 Publications Top Notes:

Zhang, Z., et al. (2023). “Ultra-wideband chaotic signal generation using nonlinear optoelectronic oscillators.” Journal of Lightwave Technology. 🔗 Link (Cited by 45 articles)

Zhang, Z., et al. (2022). “Photonic Analog-to-Digital Conversion with Enhanced Resolution.” Optics Express. 🔗 Link (Cited by 38 articles)

Zhang, Z., et al. (2021). “Externally-triggered ultra-wideband pulse generation in broadband nonlinear OEOs.” IEEE Transactions on Microwave Theory and Techniques. 🔗 Link (Cited by 50 articles)

Zhang, Z., et al. (2020). “Actively Mode-Locked Optoelectronic Oscillators for Short Microwave Pulse Generation.” Nature Communications. 🔗 Link (Cited by 72 articles)

Frequency Response Enhancement of Photonic Sampling Based on Cavity-Less Ultra-Short Optical Pulse Source

Self-referenced electro-optic response measurement of dual-parallel Mach-Zehnder modulators employing single-tone level control and low-frequency bias swing

Self-calibrated characterization of high-speed photodetectors based on slowly-varying-envelope photonic sampling

Linearization in the digital domain for photonic sampling analog-to-digital conversion

Externally-excited Short Pulse Train Generation in a Broadband Nonlinear Optoelectronic Oscillator

Optical Frequency Comb Generation Based on Single-chip Integrated LNOI Intensity and Phase Modulators

 

Guangze Pan | Engineering | Best Paper Award

Mr. Guangze Pan | Engineering | Best Paper Award

Senior Engineer China Electronic Product Reliability and Environmental Testing Research Institute China

Guangze Pan is a Senior Engineer at the China Electronic Product Reliability and Environmental Testing Research Institute. He earned his master’s degree from Beihang University and has accumulated over ten years of experience in reliability engineering. Throughout his career, he has contributed to over 20 major research projects, many of which were funded by the National Natural Science Foundation of China and the National Key Research and Development Program. Guangze has published more than 20 high-level papers and holds 17 invention patents. His work is highly regarded in the field of reliability testing and evaluation. 🛠️📑

Profile

Scopus

Orcid

Education 🎓

Guangze Pan completed his master’s degree at Beihang University, a leading institution in China. This foundation has equipped him with extensive knowledge and expertise in reliability engineering, which he has built upon throughout his career.

Experience 💼

With over a decade of experience, Guangze has worked on numerous high-profile projects, contributing significantly to the development of advanced reliability testing technologies. He has been instrumental in the research and application of parallel reliability testing techniques, improving testing efficiency by 83%. This has positively impacted industries such as industrial robotics, where his innovations have significantly enhanced reliability, increasing the mean time between failures from 6,000 hours to 80,000 hours.

Research Interests 🔬

Guangze’s primary research interest lies in reliability testing and evaluation, particularly in multi-component, multi-stress, and multi-profile systems. He focuses on rapid reliability testing of complex systems, aiming to improve efficiency and precision. His work has been vital in elevating the reliability of industrial robots and other critical systems.

Awards 🏆

Guangze Pan’s contributions have been recognized through prestigious awards, including the second prize of the Science and Technology Award from the China Instrument Society. His research has also been appraised by the Guangdong Society of Mechanical Engineering, where it was acknowledged for reaching international leading levels.

Publications Top Notes: 📚

Guangze has published over 20 research papers in high-impact journals, with significant contributions in reliability engineering. He has an h-index of 27, and his work has influenced the development of cutting-edge technologies. For more information on his publications, visit his ResearchGate profile.

A novel machine learning-based imputation strategy for missing data in step-stress accelerated degradation test

Study on Simulation Analysis of Secondary Board Card with Multi-Physical Field Coupling

A reliability evaluation method of complex electromechanical products based on the multi-stress coupling acceleration model

A reliability analysis method based on the mixed correlated competition model considering multi-performance degradation and sudden failures

A Novel Machine Learning-Based Imputation Strategies for Missing Data in Step-Stress Accelerated Degradation Test

Fault-tolerant Scheduling Method Based on Imprecise Calculation for Real-time System of Aviation Equipment

A Reliability Evaluation Method for Multi-performance Degradation Products Based on Accelerated Degradation Testing

Jingyang Mao | Engineering | Best Researcher Award

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

Profile

Orcid

Education

🎓 Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems 🌐
  • Multi-rate systems ⏱️
  • Joint recursive filtering 🔄
  • Unknown input estimation
  • Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises

RISHITEJ CHAPARALA | Engineering | Best Researcher Award

Mr. RISHITEJ CHAPARALA | Engineering | Best Researcher Award

Assistant professor Pragati engineering college India

👨‍🎓 Rishitej Chaparala is an Assistant Professor and Ph.D. candidate in Electronics and Communication Engineering (ECE) at SRM University AP. With 6.5 years of teaching experience, he has been an integral part of institutions like TKR College of Engineering, BVC Engineering College, and Kallam Harnadhreddy Institute of Tech & Engineering. Rishitej’s primary research interest lies in plasmonic waveguide and antenna design, spanning the RF to THz spectrum. He is an active member of OPTICA, IEEE, and IETE and has filed multiple patents in the field of sensor systems.

Profile

Scopus

Google scholar

Education 🎓

Rishitej holds a Ph.D. (Full-time) in ECE from SRM University AP, with his synopsis submitted in October 2024. He completed his M.Tech in VLSI Design from Sasi Institute of Technology and Engineering (2013-2016) and B.E. in ECE from GGR College of Engineering, Vellore, in 2011.

Experience 💼

With over 6.5 years in teaching and 3 years in research, Rishitej has held positions in institutions like TKR College of Engineering, BVC Engineering College, Dhanekula Institute of Engineering & Tech, and currently at Pragati Engineering College, Rajahmundry. He has also worked as a Quality Analyst at SERCO Pvt Ltd for a year.

Research Interests 🔬

His research focuses on Plasmonic Waveguide/Antenna Design across the RF to THz spectrum. He explores the enhancement of spoof surface plasmon polariton (SSPP) waveguides and their applications in sensor-based technologies, including glucose detection for medical diagnostics and dielectric constant measurement for material analysis.

Awards 🏆

Rishitej’s work has been recognized at national and international platforms. His research on SSPP waveguides has earned him multiple accolades in conferences and journals. Notable recognitions include contributions to IEEE Sensors Journal, Optical Engineering, and Progress in Electromagnetics Research M.

Publications Top Notes: 📚

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Enhancement of spoof surface plasmon polariton waveguide performance through modified groove width.” Optical Engineering, 63.5 (2024): 055102-055102. DOI: 10.1117/1.OE.63.5.055102

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Spoof surface plasmon polaritons based feeder for a dielectric rod antenna at microwave frequencies.” Progress in Electromagnetics Research M, Vol. 129, 23-32, 2024.

Chaparala, R., et al. “Optimization of Dielectric Rod Antenna Performance Using Spoof Surface Plasmon Polaritons.” Sensors MDPI (Accepted, IF: 3.4).

Imamvali, S., Chaparala, R., Tupakula, S. “Spoof surface plasmon polaritons based detection of glucose in blood phantom for medical diagnosis.” IEEE Sensors Journal (2024, IF: 4.3).

Kolli, V. R., Chaparala, R., Tupakula, S., & Talabattula, S. “A high-sensitive integrated optic serially coupled racetrack ring resonator based pressure sensor.” Optical Materials (2024, Q1, IF: 3.1).