Prof. Tingting Yu | Nano Robots | Research Excellence Award

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Prof. Tingting Yu | Nano Robots | Research Excellence Award

South China University of Technology | China

Prof. Tingting Yu is an Associate Professor at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China. She earned her B.Sc. degree in computational physical chemistry and M.Sc. degree in chemical engineering and physical chemistry from the Technical University of Darmstadt, Germany, and her Ph.D. in physical chemistry from the University of Stuttgart in collaboration with the Max Planck Institute for Intelligent Systems. Her research focuses on micro- and nanorobotics, nanofabrication, Nano Robots and intelligent control of micro–nano systems. She has led and participated in several national and provincial research projects, including the NSFC Youth Program and Guangdong Regional Joint projects, where she serves as Principal Investigator. Her work emphasizes the fabrication of 3D nanostructures, micro-mass sensing feedback, directional deposition techniques, and light-responsive micro-nanomotors. Through her research, she contributes to advancing intelligent engineering and nanoscale device innovation.

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Dr. Azhar Imran | Healthcare | Young Scientist Award

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Dr. Azhar Imran | Healthcare | Young Scientist Award

Beijing University of Technology | China

Dr. Azhar Imran Mudassir is an Associate Professor in the Department of Computer Science at Beijing University of Technology, China, with many years of academic and research experience. His expertise spans Artificial Intelligence, Data Science, and Machine Learning, with a strong focus on real-world applications in healthcare and cybersecurity. Dr. Imran has published more than 85 research articles in high-impact international journals and conferences and has delivered keynote speeches at several prestigious global events, including ICBDDM-24, ICCTEC, CCET25, CVIT-24, ICDSP24, and CVIT-23. He is a Senior Member of IEEE and actively serves on academic committees and editorial boards of reputed journals. Throughout his career, he has received multiple honors, including the Outstanding Graduate Award and Best Researcher Award from BJUT, the Embassy Honored Award from the Pakistan Embassy in Beijing, and the Excellent International Students Award from China’s Ministry of Education. His research and teaching contributions reflect a strong commitment to advancing AI-driven technologies and academic excellence.

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Prof. Ilya Levin | Autonomous Robot Navigation | Best Use of AI in Robotics

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Prof. Ilya Levin | Autonomous Robot Navigation | Best Use of AI in Robotics

Holon Institute of Technology | Israel

Prof. Ilya Levin is a distinguished computer scientist and educator with over four decades of academic, research, and leadership experience across leading institutions in Israel, Europe, and the United States. He holds an M.Sc. in Computer Engineering from Leningrad Transport Engineering University, postgraduate training in Mathematics from Leningrad State University, and a Ph.D. in Computer Engineering from the Academy of Sciences of Latvia, where he specialized in decomposition methods for sequential circuit synthesis. Since immigrating to Israel, he has served in prominent roles at Tel Aviv University, Bar-Ilan University, and the Holon Institute of Technology, where he currently serves as Head of the School of Computer Science. Dr. Levin previously held positions as Senior Researcher, Head of Department, Tenured Associate Professor, and Full Professor, and has been invited as a Visiting Professor at major international universities, including the University of Massachusetts, Boston University, Aix-Marseille Université, Ca’ Foscari University of Venice, and the University of Florence. His career spans extensive work in computer engineering, automation, education, Autonomous Robot Navigation and advanced system design, reflecting a lifelong commitment to scientific excellence and innovation.

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Mr. Adil EL Housseini | Neuroscience | Research Excellence Award

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Mr. Adil EL Housseini | Neuroscience | Research Excellence Award

Ibn Zohr University | Morocco

Mr. Adil EL Housseini is a PhD candidate in Biology at the Faculty of Sciences, Ibn Zohr University, Agadir, Morocco, specializing in toxicology, biochemistry, and the characterization of scorpion venoms. His doctoral research, titled “Biochemistry, ecotoxicity, and pathophysiology of the venom of selected Buthid species, and therapeutic approaches to scorpion envenomation,” focuses on analyzing venom composition, evaluating its ecological and toxicological impacts, Neuroscience and exploring potential therapeutic strategies for managing envenomation. He has developed solid expertise in experimental research methods related to venom analysis and toxicology, supported by strong skills in scientific writing and publication in indexed international journals. With a growing research profile and commitment to advancing venom biochemistry and toxicological sciences, Adil aims to contribute to deeper scientific understanding and improved medical approaches related to scorpion envenomation.

 

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Biomedical Polymers: Foundations and Future Innovations in Medicine


– In *Biomedical Applications and Toxicity of Polymers, Nanoparticles, Biomaterials, and Metal Ions*, 2026

Therapeutic Implications of Chitosan and Its Derivatives: Focus on Cancer Treatment


– Biomedical Applications and Toxicity of Polymers, Nanoparticles…, 2026

Radioprotective Effects of Chitosan Polysaccharides and Biomedical Applications


– Biomedical Applications and Toxicity of Polymers, Nanoparticles…, 2026

Overview of Biomaterials Classification, Properties, and Biomedical Applications


– *Innovations and Applications of Advanced Biomaterials in Healthcare and …*, 2026

Assoc. Prof. Dr. Adeniyi Charles Adeola | Population genetics | Research Excellence Award

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Assoc. Prof. Dr. Adeniyi Charles Adeola | Population Genetics | Research Excellence Award

Kunming Institute of Zoology Chinese Academy of Science | China

Dr. Adeniyi Charles Adeola is an Associate Professor and evolutionary and conservation geneticist at the Kunming Institute of Zoology, Chinese Academy of Sciences, with a joint appointment at Bayero University, Nigeria. His research focuses on leveraging Africa’s rich genomic diversity to address global challenges in food security, emerging diseases, and biodiversity conservation. He leads international, multi-million-dollar projects that integrate genomics, conservation biology, Population Genetics and sustainable agriculture. Dr. Adeola’s work spans the discovery of genetic markers for disease resistance - including African Swine Fever Virus and prion-related diseases - mapping adaptive evolution in African livestock, and applying genomic tools to document biodiversity and phylogeographic patterns in vertebrates. He also develops innovative genomic technologies, such as target-capture sequencing platforms, to enhance pathogen surveillance and conservation research. A committed mentor and scientific leader, he actively strengthens research capacity across Africa and Asia while advancing transformative insights in evolutionary genetics and genome diversity.

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Dr. Muh Asriadi AM | Instructional Technology | Excellence in Research Award

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Dr. Muh Asriadi AM | Instructional Technology | Excellence in Research Award

Universitas Pendidikan Indonesia | Indonesia

Dr. Muh. Asriadis AM, S.Pd., M.Pd., born in Watu, is a lecturer in Early Childhood Education at Universitas Pendidikan Indonesia Cibiru and currently pursuing his doctoral studies at Universitas Pendidikan Indonesia. He holds a Bachelor’s degree from UIN Alauddin Makassar and a Master’s degree in Education from Universitas Negeri Yogyakarta, with academic expertise in educational evaluation, physics education, Instructional Technology and early childhood learning. He has served in several professional and organizational roles, including Head of the Activity Unit UKKS, Project Coordinator for Yayasan Senyum Kita, Manager of event programs, and member or leader in academic communities such as KMP UNY, HIMMPAS, and HEPI. Dr. Asriadis has also worked with institutions such as PT Ebiz Prima Nusa and LBB Primagama Yogyakarta, contributing to educational projects and training programs. He is actively involved in research, publishing through academic platforms including Google Scholar, Scopus, SINTA, Garuda, ORCID, and Web of Science. With academic status as Lektor/Assistant Professor, he continues to develop expertise in educational evaluation, early childhood education, and science learning, while contributing significantly to academic, organizational, and community-based educational initiatives.

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Assoc. Prof. Dr. Xiaoqing Sun | Vibration Control | Research Excellence Award

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Assoc. Prof. Dr. Xiaoqing Sun | Vibration Control | Research Excellence Award

Donghua University | China

Dr. Sun Xiaoqing holds a PhD in Engineering and serves as a Master’s Supervisor at the School of Mechanical Engineering, Donghua University, Shanghai. He earned his PhD from Shanghai Jiao Tong University’s State Key Laboratory of Mechanical Systems and Vibration, where he focused on mechanical system integration design, micro-vibration active and passive control, and virtual simulation and optimization. He also holds a Master’s degree in Mechanical Design and Theory from Wuhan University, specializing in system dynamics modeling, CAD/CAE, virtual design, and fatigue life prediction. Dr. Sun has participated in several significant research projects, including serving as the Principal Investigator for the National Natural Science Foundation of China Youth Project, where he developed a collaborative vibration isolation mechanism, vibration control and compliant tensioning platform for thin-film mirrors to achieve ultra-precision positioning and vibration suppression. He also contributed to research on non-destructive testing technology for bolt preload for Nanjing CRRC Puzhen Rolling Stock Co., Ltd., and to the development of a space six-DOF micro-vibration isolation platform for the Shanghai Aerospace Systems Engineering Research Institute, proposing and validating an innovative active–passive vibration isolation scheme. His expertise spans mechanical vibration, system dynamics, control theory, and advanced simulation.

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Assoc. Prof. Dr. Entesar Eliwa | Deep Learning for Robotic Vision | Excellence in Research Award

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Assoc. Prof. Dr. Entesar Eliwa | Deep Learning for Robotic Vision | Excellence in Research Award

King Faisal University | Saudi Arabia

Dr. Entesar Hamed I. Eliwa is an Associate Professor at King Faisal University, Faculty of Science, Department of Mathematics and Statistics. She holds a B.Sc. in Computer Science from Minia University, where she also served as a Teaching Assistant before completing her M.Sc. and Ph.D. in the Computer Science Department. After joining King Faisal University as an Assistant Lecturer, her strong research productivity and academic contributions led to her promotion to Associate Professor. Her work focuses on data mining, knowledge discovery, predictive modeling, supervised learning, classification, association rule mining, Deep Learning for Robotic Vision and artificial intelligence. She has successfully completed 28 research projects and is currently leading 6 ongoing studies. Her scholarly influence is reflected in her most recent citation metrics, with 443 total citations across 373 citing documents, demonstrating a solid and expanding research footprint. She has produced 22 research documents contributing to advancements in computational intelligence, and she maintains an h-index of 8, underscoring the depth and consistency of her academic impact. Through her research, publications, and academic service, Dr. Eliwa continues to strengthen the fields of computer science, data analytics, and artificial intelligence within both regional and global research communities.

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Featured Publications

El Koshiry, A., Eliwa, E., Abd El-Hafeez, T., & Tony, M. A. A. (2026). The effectiveness of an e-learning platform in developing digital citizenship skills among blind students.  https://doi.org/10.1007/978-3-031-94770-4_21

Hamed, E., & Abd El-Hafeez, T. (2025). Deep learning for sustainable agriculture: Automating rice and paddy ripeness classification for enhanced food security. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2025.100785

Amr, A., Eliwa, E., Tony, A. A., Shalgham, A., & Contributors from King Faisal University; Minia University; Arish University. (2025). The effectiveness of using Box-to-Box technology to develop some of the composite physical and technical capabilities of footballers. Fusion: Practice and Applications. https://doi.org/10.54216/fpa.170224

Eliwa, E. H. I., & Abd El-Hafeez, T. (2025). A robust deep learning pipeline for multi-class cervical cancer cell identification. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2025.100787

Eliwa, E. H. I., & Abd El-Hafeez, T. (2025). A novel YOLOv11 framework for enhanced tomato disease detection. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.3200

Dr. Faisal Saeed | Object Detection | Excellence in Research Award

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Dr. Faisal Saeed | Object Detection | Excellence in Research Award

Shenzhen University | China

Dr. Faisal Saeed is an ai research scientist specializing in computer vision, deep learning, and intelligent manufacturing, with a strong research portfolio built through advanced academic training and international research appointments. He earned his master’s combined Ph.d. in computer science from Kyungpook National University, South Korea, where his work focused on transformer-based architectures for industrial small-object detection, culminating in the thesis feature enhanced assignment-based detection transformer for industrial small object detection. His academic contributions include 21 documents, a growing research footprint of 738 citations, and an h-index of 10, reflecting the global impact of his work across ai-driven automation, defect detection, and predictive maintenance. Professionally, he has served as a university research assistant and later as a postdoctoral fellow in both South Korea and China, contributing to deep learning theory, medical image analysis, multimodal ai, Object Detection and industrial visual inspection systems. His research integrates digital twins, time-series forecasting, and transformer models to advance intelligent manufacturing and robotics. Committed to bridging theoretical innovation with real-world applications, Dr. Saeed continues to publish influential work, secure funding for emerging ai research, and contribute to the scientific community through teaching, collaboration, and cutting-edge industrial ai development.

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Featured Publications

Shah, H. A., Saeed, F., Yun, S., Park, J. H., Paul, A., & Kang, J. M. (2022). A robust approach for brain tumor detection in magnetic resonance images using finetuned EfficientNet. IEEE Access, 10, 65426–65438.

Saeed, F., Paul, A., Rehman, A., Hong, W. H., & Seo, H. (2018). IoT-based intelligent modeling of smart home environment for fire prevention and safety. Journal of Sensor and Actuator Networks, 7(1), 11.

Saeed, F., Paul, A., Karthigaikumar, P., & Nayyar, A. (2020). Convolutional neural network based early fire detection. Multimedia Tools and Applications, 79(13), 9083–9099.

Saeed, F., Ahmed, M. J., Gul, M. J., Hong, K. J., Paul, A., & Kavitha, M. S. (2021). A robust approach for industrial small-object detection using an improved faster regional convolutional neural network. Scientific Reports, 11(1), 23390.

Rehman, A., Rathore, M. M., Paul, A., Saeed, F., & Ahmad, R. W. (2018). Vehicular traffic optimisation and even distribution using ant colony in smart city environment. IET Intelligent Transport Systems, 12(7), 594–601.

Dr. Yinglong Li | Fuzzy Decision | Research Excellence Award

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Dr. Yinglong Li | Fuzzy Decision | Research Excellence Award

Zhejiang University of Technology | China

Yinglong Li is an associate professor in the school of computer science and technology at Zhejiang University of Technology, specializing in intelligent privacy protection, deep learning, computer vision, and fuzzy intelligence. He earned his Ph.d. in computer science from Renmin university of China and previously served as a senior lecturer at the University of Bristol. As an active researcher, he has authored more than 20 high-quality papers in leading journals and conferences such as IEEE TFS, IEEE TVT, fuzzy set syst, ieee iwqos, ieee mass, fuzzy decision and applied soft computing. His academic impact is reflected in 211 citations, documented in 204 citing documents, along with 33 published documents and an h-index of 7. he has completed or is undertaking nine research projects, published ten patents. With industry collaborations including Ningbo Bodao Co., Ltd. On marine ai systems and China mobile Hangzhou research institute on privacy-preserving surveillance, his work bridges academic innovation and real-world application. He is also a member of IEEE, ACM, and CCF, actively contributing as a journal reviewer and mentor to graduate researchers.

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Featured Publications

Chen, T., Jiang, Q., Li, Y., Chen, T., & Li, J. (2025). Privacy-aware edge intelligent parking recommendation using intuitionistic fuzzy sets. IEEE Transactions on Industrial Informatics.

Li, Y., Chen, T., Li, J., Liu, W., & Chen, T. (2025). QoS-aware fuzzy decision-based data forwarding in edge-centric vehicular networks. Applied Soft Computing.

Chen, T., Tian, X., Li, Y., Jiang, Q., & Liu, Z. (2024). FuzzyFollow: A novel privacy-aware intelligent vehicle-following scheme for safe driving on risky roads using fuzzy sets. In 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

Li, Y., Huang, Z., Chen, T., Xu, X., Liu, W., & Lv, M. (2023). TCFP: A novel privacy-aware edge vehicular trajectory compression scheme using fuzzy Markovian prediction. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Li, Y., Meng, D., Xu, X., Chen, T., Li, Y., Wang, T., & Li, Y. (2023). fuzzyForward: A novel multi-hop data forwarding scheme using fuzzy decision for edge VANETs. In 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).