Prof. Huiqin Pei | Multi-Agent System | Research Excellence Award

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Prof. Huiqin Pei | Multi-Agent System | Research Excellence Award

East China JiaoTong University | China

Prof. Huiqin Pei is an accomplished associate professor at the school of electrical and automation engineering, East China Jiaotong University, specializing in control science and control engineering. She has established a strong academic foundation with a bachelor’s, master’s, and doctor of engineering degree from East China Jiaotong university. She has served in various academic roles, including lecturer positions at Nanchang University of Technology and East China Jiaotong University, and later as a visiting scholar at shanghai Jiao Tong University. Her research interests span swarm dynamics, cooperative control, complex network modeling, multi-agent systems, multi-agent system and cooperative optimization in robotic systems. Over the years, she has produced a significant body of scholarly work, with 30 published documents, 389 citations by 349 documents, and an h-index of 10, reflecting her impact in the field. As a reviewer for leading journals such as IEEE transactions on cybernetics and nonlinear dynamics, she contributes to advancing high-quality research. She also serves as an evaluation expert for the national natural science foundation and the national graduate education evaluation system. Honored with the second prize of the natural science award, she continues to influence the fields of nonlinear dynamics and cooperative control.

Profile: Scopus

Featured Publications

Pei, H. (2025). Collaborative consistency tracking in hybrid multiple agent systems under slow time varying disturbance signals. IEEE Systems Journal.

Pei, H. (2025). Observer-based event-triggered group consensus tracking of hybrid multi-agent systems. Transactions of the Institute of Measurement and Control.

Pei, H. (2025). Multi-agent multi-target search with multi-head attention. In Proceedings of the Conference.

 

Assoc. Prof. Dr. Michael Ehizuelen | Development Economics | Research Excellence Award

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Assoc. Prof. Dr. Michael Ehizuelen | Development Economics | Research Excellence Award

Institute of African Studies | China

Dr. Michael Mitchell Omoruyi Ehizuelen is a distinguished scholar of development economics and a leading voice in Africa – China relations, with over a decade of academic, research, and policy engagement experience. He holds a Ph.d. in world economics and an M.A. in Chinese political economy from Xiamen University, where he also earned a certificate in chinese language and cultural studies. Currently an associate professor and research fellow at the institute of African studies, Zhejiang normal university, he serves as the executive director of the research center for nigerian studies and has authored more than 100 publications. his scholarly impact includes 100 citations, 13 documents, and an h-index of 4, reflecting meaningful contributions to sino-african cooperation, foreign aid analysis, public policy, maritime security, Development Economics and sustainable development. Dr. Ehizuelen has pioneered major academic platforms, including the china–nigeria academic exchange programme, the research center for Nigerian studies, the Abuja forum, and the ibadan forum, strengthening cross-continental collaboration and intellectual exchange. He has secured multiple research grants, mentored emerging scholars, and shaped innovative curricula in international aid and african development. Widely recognized for advancing evidence-based policymaking and regional integration, he remains committed to fostering academic excellence, informed governance, and sustainable economic transformation across Africa.

Profile: Scopus

Featured Publication

Ehizuelen, M. (2025). Assessing the possible influence of maritime piracy on African Continental Free Trade Area (AfCFTA) in Nigeria. Journal of Shipping and Trade.

Mr. Angelos Athanasiadis | Deep Learning for Robotic Vision | Research Excellence Award

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Mr. Angelos Athanasiadis | Deep Learning for Robotic Vision | Research Excellence Award

Aristotle University of Thessaloniki | Greece

Mr. Angelos Athanasiadis is a Ph.d. candidate in electrical and computer engineering at the Aristotle University of Thessaloniki, specializing in fpga-based acceleration of convolutional neural networks and heterogeneous computing systems. he holds an M.Eng. in electronics and computer systems and an mba with high distinction, combining strong technical expertise with strategic insight. his research focuses on full-precision CNN acceleration, FPGA architectures, cyber-physical systems, Deep Learning for Robotic Vision and distributed embedded system emulation. Angelos has contributed to major eu-funded research projects, including the adviser and redesign projects, and has completed industrial internships at cadence design systems in Munich. He has also worked in r&d and embedded development roles at exapsys and seems pc, strengthening his applied engineering experience. Academically, he has collaborated with Professor Ioannis papaefstathiou and assistant professor nikolaos tampouratzis, contributing to innovations in energy-efficient cnn inference and high-fidelity system emulation. his open-source framework, fusion, integrates qemu and omnet++ using hla/certi for deterministic, timing-accurate, multi-node execution. Although early in his publication journey, angelos has 1 citation, 1 scopus-listed document, and an h-index of 1, reflecting the initial impact of his contributions. Driven by interdisciplinary research, he aims to advance reconfigurable computing for next-generation autonomous and embedded intelligent systems.

Profiles: Orcid | Google Scholar

Featured Publications

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2025). An efficient open-source design and implementation framework for non-quantized CNNs on FPGAs. Integration, 102625.

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2024). An open-source HLS fully parameterizable matrix multiplication library for AMD FPGAs. WiPiEC Journal – Works in Progress in Embedded Computing, Article 62.

Katselas, L., Athanasiadis, A., Jiao, H., Papameletis, C., Hatzopoulos, A., & Marinissen, E. J. (2017). Embedded toggle generator to control the switching activity during test of digital 2D-SoCs and 3D-SICs. In 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) (pp. 1–8). IEEE.

Prof. Dr. Abdelkrim Kamel Oudjida | Real-Time Robotic Control | Research Excellence Award

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Prof. Dr. Abdelkrim Kamel Oudjida | Real-Time Robotic Control | Research Excellence Award

Centre de Développement des Technologies Avancées | Algeria

Prof. Dr. Abdelkrim Kamel Oudjida is a distinguished director of research at the Centre De Développement des Technologies Avancées, recognized for his extensive contributions to computer arithmetic and its applications in Cryptography, DSP, robotics, Real-Time Robotic Control and VLSI digital design. With a strong academic and professional background, he has authored 22 publications, delivered 35 communications, and contributed to 2 patents, establishing himself as a leading figure in advanced digital circuit design. his research achievements include developing advanced binary recoding methods and pioneering new arithmetic strategies for efficient asic/fpga implementation of linear systems. His work has earned him 328 citations, based on 263 citing documents, supported by 34 documents, and an h-index of 8, reflecting his growing scholarly impact. in addition to his role as a full-time researcher, he serves as a lecturer in computer arithmetic and cryptography at the national higher school of mathematics. He has supervised more than 50 engineering, master’s, and phd projects, further strengthening the scientific community through mentorship. As a reviewer for prestigious journals such as ieee tcas, elsevier microelectronics, and jolpe, and collaborating with several european research labs, oudjida continues to advance the field through innovation, leadership, and international engagement.

Profiles: Scopus | Orcid

Featured Publications

Liacha, A., Oudjida, A. K., & Bellal, R. N. (2025). On the complexity of constant multiplication problem. International Journal of Circuit Theory and Applications. Advance online publication.

Nait-Abdesselam, F., Oudjida, A. K., Khouas, A., & Liacha, A. (2025). On computing the double point multiplication in elliptic curve cryptography. Cryptologia. Advance online publication.

Echikr, A., Yachir, A., Kerrache, C. A., Oudjida, A. K., & Sahraoui, Z. (2024). Interoperable IoRT for healthcare: Securing intelligent systems with decentralized blockchain. Acta Informatica Pragensia.

Oudjida, A. K., & Liacha, A. (2021). Radix-2ʷ arithmetic for scalar multiplication in elliptic curve cryptography. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(5), 1984–1997.

Oudjida, A. K. (n.d.). Multiple constant multiplication algorithm for high-speed and low-power design.

Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

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Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

Harbin Institute of Technology | China

Dr. Maria Muzamil Memon is a dedicated researcher and postdoctoral fellow at the Harbin Institute of Technology, China, specializing in micro-electro-mechanical systems , microfluidics, and flexible sensor technologies. she earned her Phd in electronic engineering from the university of electronic science and technology of China, where she focused on aln-based surface acoustic wave sensors and significantly improved pressure sensitivity through innovative structural design, validated via comsol-based finite element analysis. Her academic journey includes a master’s degree in mechanical engineering from Harbin institute of technology and a bachelor’s degree in electronics engineering from Mehran University of engineering and technology. Throughout her career, she has worked extensively on microfluidic chip fabrication, biomedical device development, and multiphysics simulations, Robotics while also supervising undergraduate and postgraduate students. Dr. Memon has received multiple prestigious awards, including several academic achievement and excellent performance awards from UESTC, and she is a two-time recipient of the Chinese government scholarship. her research impact is reflected in 141 citations, an h-index of 7, and 6 documented publications, i10-index, demonstrating her growing influence in the fields of mems sensors, sensing materials, and microfluidic systems.

Profile: Google Scholar

Featured Publications

Memon, M. M., Liu, Q., Manthar, A., Wang, T., & Zhang, W. (2023). Surface acoustic wave humidity sensor. Micromachines, 14(5), 945.

Memon, M. M., Hongyuan, Y., Pan, S., Wang, T., & Zhang, W. (2022). Surface acoustic wave humidity sensor based on hydrophobic polymer film. Journal of Electronic Materials, 51(10), 5627–5634.

Memon, M. M., Pan, S., Wan, J., Wang, T., & Zhang, W. (2021). Highly sensitive thick diaphragm-based surface acoustic wave pressure sensor. Sensors and Actuators A: Physical, 331, 112935.

Memon, M. M., Pan, S., Wan, J., Wang, T., Peng, B., & Zhang, W. (2022). Sensitivity enhancement of SAW pressure sensor based on the crystalline direction. IEEE Sensors Journal, 22(10), 9329–9335.

Memon, M. M., Pan, S., Wan, J., Wang, T., Peng, B., & Zhang, W. (2022). Sensitivity enhancement of SAW pressure sensor based on the crystalline direction. IEEE Sensors Journal, 22(10), 9329–9335.

Mr. SMUS Samarakoon | Rehabilitation | Excellence in Healthcare Robotics

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Mr. SMUS Samarakoon | Rehabilitation | Excellence in Healthcare Robotics

Sri Lanka Technology Campus | Sri Lanka

S.M.U. Sasanga Samarakoon is a mechatronic engineering professional and researcher whose work spans robotics, artificial intelligence, bionics, and ambient assisted living. He earned his Bsc in mechatronic engineering from the sri lanka technology campus with second class upper division honors and currently serves as a teaching assistant in the department of mechatronic engineering as well as a research assistant at the computational intelligence and robotics research lab. His research explores human–machine collaboration, intelligent robotic systems, and the integration of computer vision and ai to develop adaptive, efficient, Rehabilitation and human-centered technologies. sasanga previously worked as a research and development engineer at sentinel systems ltd., where he contributed to innovation-driven engineering solutions. He has completed additional training in industrial pneumatic and electro-pneumatic automation and holds a diploma in information technology. His academic achievements include a bronze medal for outstanding contribution to university life, a certificate of recognition for advancing biofuel technology, and a silver medal for an award-winning biodiesel invention showcased at intarg. His scholarly impact includes 3 citations, 2 documents, and an h-index of 1, reflecting his early yet promising research trajectory. Sasanga aims to drive future advancements in robotics and bionics while inspiring upcoming engineers.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Rathnayake, P. S., Lokuhennadige, L. C. D., Samarakoon, S. M. U. S., Herath, H. M. K. K. M. B., Madhusanka, B. G. D. A., & Yasakethu, S. L. P. (2025, August 14). Sinhala language specific vocal biomarker extraction for Parkinson's diagnosis using machine learning. In 2025 Moratuwa Engineering Research Conference (MERCon).

Mihijaya, H. M. K., Karunarathna, A. S. D., Samarakoon, S. M. U. S., Sankalana, M. G. S. N., Herath, H. M. K. K. M. B., & Yasakethu, S. L. P. (2025, August 14). Vision-driven diagnostic intelligence through deep learning for retinal health analytics. In 2025 Moratuwa Engineering Research Conference (MERCon). IEEE.

Samarakoon, S. M. U. S., Herath, H. M. K. K. M. B., Yasakethu, S. L. P., Fernando, D., Madusanka, N., Yi, M., & Lee, B.-I. (2025). Long short-term memory-enabled electromyography-controlled adaptive wearable robotic exoskeleton for upper arm rehabilitation. Biomimetics, 10(2), Article 106.

Perera, C. N., Ananda, B. G. C., Samarakoon, S. M. U. S., Herath, H. M. K. K. M. B., & Yasakethu, S. L. P. (2024). Assistive Cartesian healthcare robot for forearm vein puncturing. In 2024 6th International Conference on Advancements in Computing (ICAC 2024).

Mr. Emmanuel Ebikabowei Enemugha | AI-Based Robot Perception | Best Researcher Award

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Mr. Emmanuel Ebikabowei Enemugha | AI-Based Robot Perception | Best Researcher Award

University Malaya Department of Mechanical Engineering | Nigeria

Mr. Enemugha Emmanuel Ebikabowei is a dedicated mechanical engineer and researcher, currently a Ph.d. Candidate in mechanical engineering at the University of Malaya, Malaysia, with specialization in computational fluid dynamics, gas-turbine performance, pump-impeller blade design, and energy systems optimization. He also serves as a lecturer in the department of mechanical engineering at Nigeria maritime university. His publication record on researchgate lists 5 documents with 69 reads, though his citation and h-index metrics are not publicly indicated. His scholarly work includes notable contributions such as a hybrid optimization of mixed-axial flow pump impellers using taguchi method, genetic algorithms, AI-Based Robot Perception and neural networks. additionally, He has conducted experimental analyses on firewood combustion efficiency for sustainable cooking in bayelsa state, Nigeria. His research is shaping the future of efficient pump systems and clean energy solutions for both industrial and community-scale applications.

Profile: Orcid

Featured Publications

Enemugha, E. E., Ab Karim, M. S. B., & Nik Ghazali, N. N. B. (2025). Hybrid optimisation of mixed-axial flow pump impellers parameter using Taguchi, genetic algorithms, and artificial neural networks. Next Research.

Enemugha, E. E., & Munuakuro, A. E. (2025). Experimental analysis of firewood combustion efficiency and fuel consumption patterns for sustainable cooking in Bayelsa State, Nigeria. International Journal for Research in Applied Science and Engineering Technology, 13(4).

Enemugha, E. E. (2025). The effects of impeller blade count on centrifugal pump performance and efficiency under different operating conditions: A comparison of numerical prediction. International Journal for Research in Applied Science and Engineering Technology, 13(4).

Bratua, I., Burubai, W., & Enemugha, E. E. (2025). Comparative analysis of fuelwood weight loss and energy efficiency in Bayelsa State, Nigeria. World Journal of Advanced Engineering Technology and Sciences, 14(3).

Enemugha, E. E., Ab Karim, M. S., & Nik Ghazali, N. N. (2025). Comprehensive optimization of centrifugal pump performance through the integration of the Taguchi method and polynomial regression models. Global Journal of Engineering and Technology Advances, 22(2).

Mrs. Zohreh Rafiei Samani | Smart Manufacturing Systems | Best Researcher Award

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Mrs. Zohreh Rafiei Samani | Smart Manufacturing Systems | Best Researcher Award

Birmingham City University | United Kingdom

Mrs. Zohreh Rafiei Samani is a dedicated second-year phd student at Birmingham City University, UK, working on intelligent control and data-driven modelling of piezoelectric actuators. she earned her Msc from Persian Gulf University, Iran, and her Bsc from Shahrekord University, Iran, bringing over six years of industry experience into her research. According to her google scholar profile, she has 4 publications and 45 citations, with an h-index of 3. Her work has made an impact through her article “capacitance estimation for piezoelectric actuators: an artificial intelligence approach”, which introduces a novel ai model to estimate the variable capacitance of piezo actuators under changing operating conditions. This research contributes significantly to improving the precision, efficiency, and autonomy of nano positioning systems and smart structures. Her core research areas include piezoelectric actuators, Smart Manufacturing Systems, intelligent control systems, data-driven modelling, and the application of artificial intelligence in mechatronics. Through her innovative methodology, Zohreh is helping push the boundaries of mechatronic systems design, particularly in robotics, micro-positioning, and smart structures.

Profile: Orcid

Featured Publication

Rafiei Samani, Z., Mohammadzaheri, M., Ghodsi, M., Wu, W., Sherkat, N., & Alipooramirabad, H. (2025). Capacitance estimation for piezoelectric actuators: An artificial intelligence approach. IET Science, Measurement & Technology.

Prof. Dr. Mounir Bousbia Salah | Deep Learning | Best Researcher Award

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Prof. Dr. Mounir Bousbia Salah | Deep Learning | Best Researcher Award

Badji Mokhtar Annaba University | Algeria

Prof. Dr. Mounir Bousbia Salah, born in Annaba, Algeria, is a distinguished scholar in electronic and biomedical engineering with a career spanning more than three decades. he earned his engineering degree in electronic engineering from the university of annaba, followed by an m.sc by research from Cardiff University, UK, and later completed his ph.d. in electronic engineering at the University of Annaba. Currently serving as a full professor and director of research at Badji Mokhtar– Annaba university, he has previously worked as lecturer, assistant professor, associate professor, and research leader across multiple academic stages. His areas of expertise include biomedical instrumentation, biomedical signal processing, sensors, deep learning, computer vision, and rehabilitation technologies. Professor Bousbia salah has published over ninety scientific and conference papers, participated in numerous Ph.d, Master, and B.Sc thesis supervisions, and actively contributes to advancements in biomedical engineering. His scholarly impact is reflected through 672 citations, an h-index of 13, and an i10-index of 16, demonstrating his continued influence in the research community. He is an active member of several international professional bodies, including Iased, IFSA, IFAC, and Waset, and teaches a wide range of courses in electronics, control, metrology, robotics, and biomedical systems.

Profile: Google Scholar

Featured Publications

Bousbia-Salah, M., Bettayeb, M., & Larbi, A. (2011). A navigation aid for blind people. Journal of Intelligent & Robotic Systems, 64(3), 387–400.

Bousbia-Salah, M., Redjati, A., Fezari, M., & Bettayeb, M. (2007). An ultrasonic navigation system for blind people. Proceedings of the 2007 IEEE International Conference on Signal Processing and Communications, 96.

Fezari, M., Bousbia-Salah, M., & Bedda, M. (2008). Microcontroller based heart rate monitor. International Arab Journal of Information Technology, 5(4).

Nada, D., Bousbia-Salah, M., & Bettayeb, M. (2018). Multi-sensor data fusion for wheelchair position estimation with unscented Kalman filter. International Journal of Automation and Computing, 15(2), 207–217.

Gawas, U. B., Verenkar, V. M. S., & Patil, D. R. (2011). Nanostructured ferrite based electronic nose sensitive to ammonia at room temperature. Sensors & Transducers, 134(11), 45.