Jamal Alotaibi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Jamal Alotaibi | Engineering | Best Researcher Award

Department of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi Arabia.

Dr. Jamal Alotaibi is an accomplished researcher and educator in the field of Computer Engineering. With expertise in IoT, AI, and security, he has contributed significantly to the advancement of Smart Transportation and Vehicle-to-Vehicle (V2V) communication. Currently serving as the Head of the Computer Engineering Department at Qassim University, his work focuses on secure and efficient computing frameworks for the Internet of Vehicles (IoV).

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Education 🎓

  • Ph.D. in Computer Engineering (2018 – 2022) – Wayne State University, USA

  • M.Sc. in Electrical and Computer Engineering (2016 – 2017) – Wayne State University, USA

  • B.Sc. in Computer Engineering (2008 – 2013) – Qassim University, KSA

Experience 👨‍🏫

  • Qassim University (2022 – Present) – Assistant Professor, now Head of the Computer Engineering Department (2024–Present)

  • Wayne State University (2016 – 2022) – Research Assistant in IoT and Security Labs

  • STC Company (2013) – Network Engineer

  • Consultations:

    • Ford Motor Company (2020 – 2022) – Embedded Systems Consultant for Electric Vehicles

    • Verizon Company (2021–2022) – V2V Infrastructure Consultant

    • City of Detroit (2021–2023) – IoV Consultant

Research Interests 🔬

  • Internet of Vehicles (IoV) and Fog Computing

  • Software-Defined Networking (SDN) for Smart Transportation

  • Blockchain-based Security Solutions

  • Machine Learning for Secure Communication Systems

Awards 🏆

  • Head of IoT Research Lab – Wayne State University

  • Head of Research Committee – Qassim University (2023 – Present)

Publications Top Notes: 📚

SAFIoV: A Secure and Fast Communication in Fog-Based IoV Using SDN and Blockchain

IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021

Read Here

A Lightweight and Fog-Based Authentication Scheme for Internet-of-Vehicles

IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEM-CON), 2021

Read Here

PPIoV: A Privacy-Preserving Framework for IoV-Fog Using Federated Learning and Blockchain

IEEE World AI IoT Congress, 2022

Read Here

Insight into IoT Applications and Common Practice Challenges

Insight Journal, 2022

Read Here

A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities

SDN-Enabled Efficient Resource Utilization in a Secure, Trustworthy and Privacy Preserving IOV-Fog Environment

Zhiyao Zhang | Engineering | Best Researcher Award

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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.

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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

 

huayu qi | Engineering | Best Researcher Award

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Mr. huayu qi | Engineering | Best Researcher Award

Shandong University of Technology China

Qi Huayu is a dedicated researcher and master’s student at Shandong University of Technology. With a strong focus on particle morphology quantification, Qi has contributed significantly to developing innovative methods for characterizing particle structures. Through rigorous research, Qi aims to advance scientific understanding and practical applications in the field of particle analysis.

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Scopus

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Education 🎓

  • Master’s Degree | Shandong University of Technology

Experience 👨‍🔬

  • Engaged in research on particle morphology quantification and regeneration.
  • Published multiple papers in high-impact scientific journals.
  • Developed quantitative analysis methods for particle characterization.

Research Interests 🔬

  • Particle Morphology Quantification
  • Triangle Side Ratio Method for Angularity Characterization
  • Multi-scale Particle Morphological Analysis
  • Application of Morphology Analysis in Engineering and Material Science

Awards 🏆

  • Best Researcher Award (Nominee, 2025)
  • Recognition for innovative contributions in particle morphology quantification.

Publications Top Notes: 📚

“Particle morphology quantification and regeneration based on triangle side ratio”

Granular Matter (2025)

DOI: 10.1007/s40571-025-00919-y

Cited by: Pending citation data

“Triangle Side Ratio Method for Particle Angularity Characterization: From Quantitative Assessment to Classification Applications”

Granular Matter (2024)

DOI: 10.1007/s10035-024-01449-9

Cited by: Pending citation data

“Multi-scale morphological quantification of particle based on altitude-to-chord ratio”

 

Jingyang Mao | Engineering | Best Researcher Award

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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.

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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

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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.

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Scopus

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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).