Mo Jamshidi | Engineering | Best Researcher Award

Prof. Dr. Mo Jamshidi | Engineering | Best Researcher Award

The University of Texas at San Antonio | United States

Prof. Dr. Mo Jamshidi is a globally recognized authority in systems engineering, intelligent systems, and system-of-systems engineering, with seminal contributions spanning soft computing, fuzzy logic, neural networks, robotics, and large-scale complex systems. His research integrates control theory, artificial intelligence, and computational intelligence to address challenges in autonomous systems, energy systems, cloud and cyber-physical infrastructures, and bioinformatics, including influential work on genome-scale metabolic networks. He has played a foundational role in defining and advancing system-of-systems as a discipline, shaping both theoretical frameworks and practical applications. His professional experience reflects sustained leadership in interdisciplinary research, authorship of landmark books, and mentorship that has influenced generations of researchers worldwide.

Citation Metrics (Google Scholar)

20000

15000

10000

5000

0

Citations
16,907

i10-index
239

h-index
54

🟦 Citations   🟥 i10-index   🟩 h-index


View Google Scholar Profile

Featured Publications

Isye Nurhasanah | Engineering | Research Excellence Award

Mrs. Isye Nurhasanah | Engineering | Research Excellence Award

Lecturer | Institut Teknologi Sumatera | Indonesia

Mrs. Isye Nurhasanah is an urban and regional planning scholar whose work explores spatial and aspatial planning, tourism development, governance, social innovation, participatory planning, and island studies. Her research integrates community-based approaches with sustainability perspectives to understand capacity building, local empowerment, and alternative governance arrangements in small island contexts. She has contributed to studies on ecotourism, landscape change, urban political ecology, and social resilience, producing interdisciplinary insights that bridge planning theory and real-world community needs. Her professional experience spans academic teaching, applied research, and collaborative development projects that support inclusive, knowledge-driven, and sustainable regional growth.

Citation Metrics (Google Scholar)

300

200

100

0

Citations
251

i10-index
8

h-index
8

🟦 Citations    🟥 i10-index    🟩 h-index


View Google Scholar Profile

Featured Publications

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.

Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Ms. Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Research Scholar at  National Institute of Technology Andhra Pradesh, India

Dr. Beulah Sujan K is a researcher in Wireless Communication Networks with a Ph.D. in Heterogeneous Cognitive Radio Networking from NIT Andhra Pradesh. Her expertise spans dynamic spectrum access, soft fusion schemes, and automated frequency coordination. She holds an M.Tech in ECE (MEMS) from Pondicherry University and a B.Tech in ECE from Acharya Nagarjuna University, both with distinction.

Profile:

🎓 Academic Background:

  • Ph.D. in Heterogeneous Cognitive Radio Networking, NIT Andhra Pradesh

  • M.Tech (ECE – MEMS), Pondicherry University – CGPA: 9.22/10

  • B.Tech (ECE), Acharya Nagarjuna University – CGPA: 9.2/10

🧠 Core Skills:

  • Mathematical Analysis

  • Numerical Methods

  • Algorithm Design

  • Monte Carlo Simulations

  • Performance Evaluation

🔍 Research Interests:

  • Wireless Communication Networks

  • Dynamic Spectrum Access

  • Soft Fusion Techniques

  • Cognitive Radio Networks

  • Automated Frequency Coordination Systems

🧪 Technical Proficiency:

  • MATLAB

  • Optimization Algorithms

  • Intellisuite Software

  • LaTeX for Technical Documentation

📚 Teaching & Mentorship:

  • Courses: Analog & Digital Communications, Wireless Communications, Signals & Systems

  • Labs: Communication Systems, LICA Lab

  • Mentoring UG/PG students in advanced communications

🏅 Achievements:

  • 🏆 UGC-NET Qualified (2018, 2019, 2024)

  • 🎯 GATE Qualified (2023)

  • 🎓 PG Merit Scholarship (2017)

  • 🥈 Silver Medal – State-Level Tech Quiz (2015)

  • 🥇 Gold Medal – Technical Quiz (2014)

📄 Key Publications:

  • IEEE, Springer, and SCI-indexed journals

  • Topics: Cognitive Radio, Spectrum Sensing, MEMS, Soft Fusion

  • Recent work under review in IEEE Transactions on Cognitive Communications and Signal Processing

Publication:

Efficient spectrum allocation by heterogeneous automated frequency coordination network within 6 GHz band

Dr. Xiao Fu | Engineering | Best Researcher Award

Dr. Xiao Fu | Engineering | Best Researcher Award

Xi`an University Of Science And Technology, China

Profile

Scopus

Education 🎓

Dr. Xiao Fu is currently pursuing her Ph.D. at Xi’an University of Science and Technology. She completed her master’s degree at Nanchang Institute of Technology and her undergraduate studies at Xi’an University of Science and Technology. Throughout her academic career, she has demonstrated exceptional dedication to research and scientific discovery.

Professional Experience 💼

Dr. Fu has made significant contributions to the field of bio-cement applications for sand stabilization. Her research focuses on enhancing soil mechanical properties using plant-based bio-cement and organic materials. She has published in leading journals, including Applied Biochemistry and Biotechnology and Bioresources & Bioprocessing, collaborating with experts to develop eco-friendly solutions for soil reinforcement.

Technical Skills 🛠️

Dr. Fu is highly skilled in geotechnical testing and analysis, biochemical soil treatment, and multivariate experimental design. Her expertise lies in combining biological and engineering principles to develop sustainable soil stabilization techniques.

Teaching & Mentorship 👨‍🏫

She actively participates in mentorship and academic guidance for postgraduate students, helping them refine their research methodologies. She also delivers guest lectures on soil mechanics and stabilization techniques, fostering knowledge exchange within the academic community.

Awards & Honors 🏅

Dr. Fu has been recognized for her outstanding academic performance, including being a top scorer in her doctoral entrance exams. Her research contributions have received acclaim for their innovation and impact in geotechnical engineering.

Research Interests 🔍

Her research focuses on sustainable soil improvement, bio-cement applications, and desert sand stabilization. Passionate about pioneering eco-friendly geotechnical solutions, Dr. Fu is dedicated to developing innovative, sustainable technologies for the future of soil engineering.

Publications Top Notes: 📝

“Experimental Study on Mechanical Properties of Cured Sand Combined with Plant-Based Bio-cement (PBBC) and Organic Materials”

Authors: Xiao Fu, Wan-jun Ye, Gang Yuan, Xue-li Zhang, Rui-yuan Niu

Publication Year: 2024

Journal: Applied Biochemistry and Biotechnology

Citations: Currently, no available citation metrics

“An experimental study on the curing of desert sand using bio-cement”

Authors: Xiao Fu, Wan-jun Ye

Publication Year: 2024

Journal: Bioresources and Bioprocessing

Citations: No citation metrics available yet

“Experimental study on the mechanical properties of desert sand improved by the combination of additives and bio-cement”

Authors: Wan-jun Ye, Xiao Fu, Yi Wu, et al.

Publication Year: 2024

Journal: Bioprocess and Biosystems Engineering

Citations: No citation data available at this time

“Soybean urease induced calcium carbonate precipitation multivariate experimental study”

Authors: Meng Cui, Xiao Fu, Junjie Zheng, et al.

Publication Year: 2022

Journal: Rock and Soil Mechanics

Citations: No specific citation metrics available

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).