Qingling Zhao | Computer Science | Research Excellence Award

Prof. Qingling Zhao | Computer Science | Research Excellence Award

Nanjing University of Science and Technology | China

Prof. Qingling Zhao is a leading researcher in embedded systems, real-time systems, mixed-criticality scheduling, and intelligent computing, with significant contributions spanning system architecture, cyber–physical systems, and AI-driven embedded intelligence. With an h-index of 12, 26 scholarly documents, and 456 citations across 345 citing publications, the research output demonstrates sustained academic impact. The work covers core areas such as mixed-criticality scheduling theory, resource synchronization, stack memory optimization, AUTOSAR model optimization, and schedulability analysis, alongside recent advances in deep learning, reinforcement learning optimization, network-on-chip systems, intrusion detection, and remote sensing object detection. Publications appear in high-impact venues including ACM Transactions on Embedded Computing Systems, IEEE Transactions, Journal of Systems Architecture, IEEE Access, and major international conferences. Recent research extends classical real-time system theory toward AI-enabled embedded and cyber-secure systems, reflecting a strong integration of theoretical rigor and practical applicability across safety-critical and intelligent computing platforms.

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Featured Publications

Chao Wang | Computer Science | Research Excellence Award

Mr. Chao Wang | Computer Science | Research Excellence Award

North China University of Technology | China

Mr. Chao Wang is an accomplished researcher whose work spans vehicular networks, IoT security, blockchain mechanisms, and food engineering applications, reflecting a multidisciplinary impact. With 809 citations, an h-index of 12, and 16 i10-index publications, he has established a strong scholarly presence supported by numerous high-impact journal articles and competitive conference papers. His research contributions include advanced blockchain-based frameworks for secure communication, innovative privacy-preserving data-sharing models, anomaly detection algorithms for intelligent vehicles, and distributed system security. He has also co-authored influential studies on anti-glycation mechanisms, food bioactive compounds, and cellular protection. His publications from 2021 to 2025 demonstrate consistent output across IEEE Transactions, Future Generation Computer Systems, Food Biomacromolecules, and other reputable venues. His work on collaborative quality control, CAN bus anomaly detection, distributed GAN attack resistance, and multi-party payment channels represents notable advancements in secure systems. He has also contributed to reviews on AGEs inhibition, IoV security, NGS applicability, and blockchain-enabled vehicular applications. Beyond technical innovation, his research extends to biologically focused studies that explore glycation inhibition, fermentation mechanisms, and cellular oxidative protection. Across domains, his scholarly contributions continue to advance secure intelligent systems, data integrity solutions, and interdisciplinary applications, reinforcing his role as a productive and influential researcher.

Profiles : Orcid | Google Scholar

Featured Publications

Bao, C., Niu, Z., He, B., Li, Y., Han, S., Feng, N., Huang, H., Wang, C., Wang, J., & others. (2025). A novel high‐protein composite rice with anti‐glycation properties prepared with crushed rice flour, whey protein and lotus seed proanthocyanidins. Food Biomacromolecules, 2(1), 23–34.

He, Y., Zhou, Z., Wu, B., Xiao, K., Wang, C., & Cheng, X. (2024). Game-theoretic incentive mechanism for collaborative quality control in blockchain-enhanced carbon emissions verification. IEEE Transactions on Network Science and Engineering.

Li, Q., Xiao, K., Yi, C., Yu, F., Wang, W., Rao, J., Liu, M., Zhang, L., Mu, Y., Wang, C., & others. (2024). Inhibition and mechanism of protein nonenzymatic glycation by Lactobacillus fermentum. Foods, 13(8), 1183.

Wang, C., Xu, X., Xiao, K., He, Y., & Yang, G. (2024). Traffic anomaly detection algorithm for CAN bus using similarity analysis. High-Confidence Computing, 4(3), 100207.

Xiao, K., Li, J., He, Y., Wang, X., & Wang, C. (2024). A secure multi-party payment channel on-chain and off-chain supervisable scheme. Future Generation Computer Systems, 154, 330–343.

Feng, N., Feng, Y., Tan, J., Zhou, C., Xu, J., Chen, Y., Xiao, J., He, Y., Wang, C., & others. (2023). Inhibition of advance glycation end products formation, gastrointestinal digestion, absorption and toxicity: A comprehensive review. International Journal of Biological Macromolecules, 249, 125814.

Wu, Q., Kong, Y., Liang, Y., Niu, M., Feng, N., Zhang, C., Qi, Y., Guo, Z., Xiao, J., & others. (2023). Protective mechanism of fruit vinegar polyphenols against AGEs-induced Caco-2 cell damage. Food Chemistry: X, 19, 100736.

Wang, C., Liu, X., He, Y., Xiao, K., & Li, W. (2023). Poisoning the competition: Fake gradient attacks on distributed generative adversarial networks. In Proceedings of the IEEE International Conference on Mobile Ad Hoc and Smart Systems.

Xu, X., Wang, L., Wang, C., Zhu, H., Zhao, L., Yang, S., & Xu, C. (2023). Intelligent connected vehicle security: Threats, attacks and defenses. Journal of Information Science & Engineering, 39(6).

Wang, C., Jiang, L., He, Y., Yang, G., & Xiao, K. (2023). Age of information-based channel scheduling policy in IoT networks under dynamic channel conditions. In China Conference on Wireless Sensor Networks (pp. 88–98).

Zhou, J., Wang, C., Luo, M., Liu, X., Xu, X., & Chen, S. (2023). Spatial-temporal based multi-head self-attention for in-vehicle network intrusion detection system. SSRN 4581213.

Wang, C., Wang, S., Cheng, X., He, Y., Xiao, K., & Fan, S. (2022). A privacy and efficiency-oriented data sharing mechanism for IoTs. IEEE Transactions on Big Data, 9(1), 174–185.

Li, Q., Li, L., Zhu, H., Yang, F., Xiao, K., Zhang, L., Zhang, M., Peng, Y., Wang, C., & others. (2022). Lactobacillus fermentum as a new inhibitor to control advanced glycation end-product formation during vinegar fermentation. Food Science and Human Wellness, 11(5), 1409–1418.

Wu, Q., Liang, Y., Kong, Y., Zhang, F., Feng, Y., Ouyang, Y., Wang, C., Guo, Z., & others. (2022). Role of glycated proteins in vivo: Enzymatic glycated proteins and non-enzymatic glycated proteins. Food Research International, 155, 111099.

Wang, C., Cheng, X., Li, J., He, Y., & Xiao, K. (2021). A survey: Applications of blockchain in the Internet of Vehicles. EURASIP Journal on Wireless Communications and Networking, 2021(1), 77.

Xu, S., Chen, X., Wang, C., He, Y., Xiao, K., & Cao, Y. (2021). A lattice-based ring signature scheme to secure automated valet parking. In Wireless Algorithms, Systems, and Applications.

Simy Baby | Engineering | Best Researcher Award

Mrs. Simy Baby | Engineering | Best Researcher Award

National Institute of Technology | India

Mrs. Simy Baby is an emerging researcher whose scholarly contributions center on semantic communications, machine learning, and computer vision, with a strong emphasis on communication-efficient feature extraction for edge inference tasks. She has authored 2 documents, received 2 citations, and holds an h-index of 1, reflecting the growing impact of her research in advanced communication technologies. Her publications in SCI-indexed journals, including Elsevier’s Computers & Electrical Engineering and IEEE Transactions on Cognitive Communications and Networking, demonstrate her commitment to innovation and excellence. Her study, “Complex Chromatic Imaging for Enhanced Radar Face Recognition”, introduced a novel complex-valued representation preserving amplitude and phase information of mmWave radar signals, achieving 99.7% recognition accuracy. Another major contribution, “Complex-Valued Linear Discriminant Analysis on mmWave Radar Face Signatures for Task-Oriented Semantic Communication”, proposed a CLDA-based encoding framework that improved feature interpretability and robustness under varying channel conditions. Her ongoing projects explore Data Fusion Discriminant Analysis (DFDA) for multi-view activity recognition and Semantic Gaussian Process Regression (GPR) for vehicular pose estimation, advancing the integration of semantic communication and computer vision. Mrs. Simy Baby’s research represents a vital step toward the development of intelligent, efficient, and adaptive communication systems for next-generation technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Baby, S. M., & Gopi, E. S. (2025). Complex valued linear discriminant analysis on mmWave radar face signatures for task-oriented semantic communication. IEEE Transactions on Cognitive Communications and Networking.

Baby, S. M., & Gopi, E. S. (2025, April). Complex chromatic imaging for enhanced radar face recognition. Computers and Electrical Engineering.

Nega Belay | Materials Science | Editorial Board Member

Mr. Nega Belay | Materials Science | Editorial Board Member

Bahir Dar University | Ethiopia

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Nega Belay began his academic journey with a Bachelor's degree in Mechanical Engineering from Debre Markos University, Ethiopia, graduating with a commendable CGPA of 3.34/4.0 in 2016. Driven by a passion for innovation and research, he pursued dual Master's degrees at Bahir Dar University: one in Materials Science and Engineering and the other in Electromechanical Engineering. He excelled academically with CGPAs of 3.53 and 3.55 respectively, showcasing a strong foundation in interdisciplinary engineering domains.

🧑‍💼 Professional Endeavors

Mr. Belay’s professional journey spans across quality control, inspection, and calibration engineering roles at AMIMTDE - Bahir Dar General Flexible and Foundry Factory. His responsibilities included developing inspection protocols, conducting precise calibrations, ensuring compliance with quality standards, and implementing advanced product testing methods. Earlier, he served as a Quality Control Engineer at the Amhara Metal Industry and Machine Technology Development Enterprise, where he led quality assurance initiatives and liaised with international machinery specifications.

He also gained valuable commercial experience as a sales agent at Ayat Share Company and technical insights through maintenance and design activities at the Bishoftu Automotive Industry, further enriching his multidisciplinary expertise.

🔬 Contributions and Research Focus

Mr. Belay’s research contributions reflect his commitment to sustainability and innovation in material science. His focus areas include:

🔹 Synthesis and characterization of materials for energy applications
🔹 Nanomaterials and polymers for additive manufacturing and 3D printing
🔹 Waste plastic pyrolysis for clean fuel production
🔹 Recycling of fabric waste into lightweight composite materials
🔹 Application of catalysts in environmentally friendly fuel generation

He is proficient in advanced tools and techniques like ANSYS, MATLAB, SolidWorks, and has programming experience in Python and Fortran, enabling him to integrate computational models with practical engineering solutions.

🏆 Accolades and Recognition

Mr. Belay’s scholarly work has earned significant recognition. He was honored as a Gates Master's Scholar in Materials Science and Engineering and received multiple certificates of achievement from AMIMTDE for excellence in quality control. Most notably, he was appointed as an Editorial Board Member and received an award at the 6th Edition of the International Analytical Chemistry Awards in March 2025 for his distinguished contributions to scientific research.

🌍 Impact and Influence

Mr. Belay's research has real-world impact, addressing global challenges such as energy sustainability, plastic waste reduction, and material reusability. His publications in top-tier journals — including Journal of Environmental Chemical Engineering, Energy, and Journal of Mechanical Engineering Science — have advanced the understanding of catalytic processes, green energy sources, and circular economy principles. His interdisciplinary approach links material science with electromechanical systems, influencing both academic research and industrial applications.

🚀 Legacy and Future Contributions

Looking forward, Mr. Belay aims to pioneer intelligent autonomous systems powered by advanced materials, contributing to fields such as robotics, biomaterials, and semiconductor technologies. His long-term vision includes developing energy-efficient, eco-friendly solutions using cutting-edge materials synthesis and real-time performance optimization of engineering systems. With a solid academic foundation, a robust research portfolio, and a growing influence in the scientific community, Mr. Nega Belay is poised to leave a lasting legacy in the field of materials science and engineering.

Publications


📄  Pyrolysis Liquid Fuel Production from Waste Plastics Using Spherical-Shape Zeolite Catalyst

Authors: Misganaw Alemu Zeleke, Nega Chanie Belay, Urška Lavrenčič Štangar, Witold Kwapinski, Kibret Mequanint
Journal: Journal of Environmental Chemical Engineering
Year: 2025


📄  Performance Evaluation of Liquid Fuel Derived from Waste Plastics for Diesel Engine Applications and Emissions Characteristics

Authors: Nega Chanie Belay, Birhanu Adisie Fentaw, Ramesh Babu Nallamothu, Melese Shiferaw Kebede
Journal: Energy
Year: 2025


📄  Recycling Fabric Waste into Composite Materials for the Applications of Lightweight Vehicle Body & Circular Economy

Authors: Melese Shiferaw Kebede, Nega Chanie Belay
Journal: Journal of Mechanical Engineering Science
Year: 2025


Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

Prof. Dr. Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

University of Genoa | Italy

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Prof. Dr. Fulvio Mastrogiovanni embarked on his academic journey with a strong foundation in engineering and robotics. He earned his Laurea Degree in Computer Engineering from the University of Genoa, Italy, in 2003, demonstrating exceptional promise with a final grade of 108/100. His thirst for knowledge led him to pursue a PhD in Bioengineering, Materials Science, and Robotics at the same university, which he successfully completed in 2008. His doctoral research set the stage for a future dedicated to advancing artificial intelligence (AI) and robotics.

Professional Endeavors 🏛️

A distinguished academic, Prof. Mastrogiovanni has built an illustrious career spanning multiple prestigious institutions worldwide. Since 2018, he has served as an Associate Professor at the University of Genoa, Italy. His scholarly journey includes visiting professorships at esteemed institutions such as Shanghai Polytechnic University, Keio University, and the Japan Advanced Institute of Science and Technology. His contributions extend beyond academia, having played key roles in international robotics programs, including Erasmus Mundus and JEMARO. Additionally, he has been a driving force in the Digital Innovation Hub – Liguria, leveraging technology for societal advancements.

Contributions and Research Focus 🔬

Prof. Mastrogiovanni's research lies at the intersection of AI and robotics, emphasizing human-robot interaction and cognitive robotics. His work in "embodied Artificial Intelligence" seeks to integrate AI-driven cognitive architectures, perception models, and semantic data processing techniques to enhance robotic autonomy and intelligence. He has pioneered efforts in developing cognitive robotic systems that seamlessly interact with humans, revolutionizing the way robots perceive and respond to their environment. His research projects, such as ROBOSKIN and InDex, have significantly contributed to the evolution of robotic intelligence and machine cognition.

Accolades and Recognition 🏆

His excellence has been recognized through numerous prestigious awards. He was honored with the National Award by Associazione Nazionale Giovani Innovatori in 2021 and has received multiple Best Paper Awards at IEEE and international robotics conferences. His groundbreaking work has earned him invitations to deliver keynote talks at global AI and robotics symposiums, solidifying his reputation as a thought leader in the field.

Impact and Influence 🌍

With over 229 publications, including journal articles, conference papers, book chapters, and patents, Prof. Mastrogiovanni has made a profound impact on the scientific community. His research has amassed over 3,352 citations with an h-index of 32 on Google Scholar. His collaborations with international universities and research institutions have fostered global advancements in robotics, influencing both academic discourse and industrial applications.

Legacy and Future Contributions 🚀

As a mentor, Prof. Mastrogiovanni has supervised numerous PhD and MSc students, shaping the next generation of robotics and AI experts. His leadership roles in major research consortia and technology transfer initiatives underscore his commitment to bridging academic research with real-world applications. Moving forward, he aims to push the boundaries of AI-driven robotics, particularly in medical robotics, cognitive architectures, and autonomous systems. His visionary work continues to redefine human-robot interaction, making significant strides towards an AI-empowered future.

 

Publications


  • 📄 A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue

    • Authors: Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni
    • Journal: Journal of Imaging
    • Year: 2025

  • 📄 A Systematic Review on Custom Data Gloves

    • Authors: Valerio Belcamino, Alessandro Carfì, Fulvio Mastrogiovanni
    • Journal: IEEE Transactions on Human-Machine Systems
    • Year: 2024

  • 📄 Enhancing Machine Learning Thermobarometry for Clinopyroxene-Bearing Magmas

    • Authors: Mónica Ágreda-López, Valerio Parodi, Alessandro Musu, Diego Perugini, Maurizio Petrelli
    • Journal: Computers and Geosciences
    • Year: 2024

  • 📄 Digital Workflow for Printability and Prefabrication Checking in Robotic Construction 3D Printing Based on Artificial Intelligence Planning

    • Authors: Erfan Shojaei Barjuei, Alessio Capitanelli, Riccardo Bertolucci, Fulvio Mastrogiovanni, Marco Maratea
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2024

  • 📄 A Hierarchical Sensorimotor Control Framework for Human-in-the-Loop Robotic Hands

    • Authors: Lucia Seminara, Strahinja Dosen, Fulvio Mastrogiovanni, Matteo Bianchi, Simon Watt, Philipp Beckerle, Thrishantha Nanayakkara, Knut Drewing, Alessandro Moscatelli, Roberta L. Klatzky, et al.
    • Journal: Science Robotics
    • Year: 2023

 

Lin Guo | Computer Science | Excellence in Innovation Award

Mr. Lin Guo | Computer Science | Excellence in Innovation Award

Huazhong University of Science and Technology | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Lin Guo embarked on his academic journey with a strong foundation in Computer Science and Technology at Zhengzhou University, where he graduated with distinction as one of the top students. Building on this success, he pursued postgraduate studies in Artificial Intelligence at Huazhong University of Science and Technology, demonstrating a keen interest in advanced technologies and research methodologies.

Professional Endeavors

Mr. Guo's professional career is marked by significant contributions in the field of artificial intelligence and computer vision. His internship at Megvii Technology's Shanghai Research Institute focused on developing cutting-edge algorithms for AVP parking semantic mapping, addressing challenges in SLAM optimization and multi-frame fusion mapping. His role as a key engineer underscored his ability to innovate and implement complex solutions in real-world applications.

Contributions and Research Focus

Lin Guo has made substantial contributions to the field through his research publications and project involvements. His research spans point cloud registration, 3D registration efficiency, and advanced methods in SLAM and VIO positioning. His work on optimizing point cloud feature learning and overcoming feature ambiguity in different reference systems has been acknowledged for its innovation and practical relevance.

Accolades and Recognition

His academic achievements and research prowess have been recognized with numerous honors, including being an Outstanding Graduate of Henan Province and receiving prestigious scholarships from Zhengzhou University and Huazhong University of Science and Technology. His contributions to accepted and submitted papers in leading conferences and journals highlight his growing influence in the academic community.

Impact and Influence

Lin Guo's research has made a significant impact on the fields of computer vision and robotics, particularly in enhancing the accuracy and efficiency of point cloud registration and SLAM technologies. His methods have set benchmarks in performance on diverse datasets, demonstrating their applicability across indoor and outdoor environments.

Legacy and Future Contributions

Looking ahead, Lin Guo aims to continue pushing the boundaries of artificial intelligence and robotics. His future contributions are expected to further advance state-of-the-art techniques in SLAM optimization, 3D registration, and autonomous systems. By bridging theoretical insights with practical applications, he seeks to foster advancements that positively impact industries and society at large.

 

Notable Publications

Learning compact and overlap-biased interactions for point cloud registration 2024

SC 2-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration 2023 (9)

One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration 2022 (5)