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.

Dr. Francesca Villano | In-Field Monitoring | Best Researcher Award

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Dr. Francesca Villano | In-Field Monitoring | Best Researcher Award

University of Sannio | Italy

Dr. Francesca Villano is a distinguished Ph.d. student in civil engineering at the University of Sannio, Italy, recognized for her strong academic record and impactful research in building energy performance, machine learning applications, and climate-resilient building design. She graduated with honors in both her bachelor’s degree and master’s degree, earning a special mention for academic excellence, and began her Ph.d. studies with a scholarship. She received the national prize for the best thesis in civil engineering in the prestigious “ingenio al femminile” competition organized by the national council of engineers. Her research contributions span advanced topics such as building energy simulation, in-field monitoring, passive cooling technologies, artificial neural networks for energy forecasting, and the effects of aging and soiling on cool roof performance. Francesca has authored 4 scientific documents, which have collectively garnered 36 citations from 36 documents, demonstrating the growing influence of her work within the scientific community. She currently holds an h-index of 2, reflecting the early yet meaningful impact of her publications. Through her interdisciplinary approach and strong analytical foundation, she continues to advance innovative solutions for sustainable, energy-efficient, and climate-adaptive buildings, positioning herself as a promising emerging researcher in the field of civil and environmental engineering.

Profile: Scopus

Featured Publication

Villano, F. (2025). Artificial neural networks to forecast building heating/cooling demand and climate resilience based on envelope parameters and new climatic stress indices. Journal of Building Engineering.

Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

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Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

China University of Mining and Technology | China 

Mr. Xu Chenglong, born in Weifang, Shandong, is currently pursuing his master’s degree in information and communication engineering at the China university of mining and technology, with an expected graduation. His research interests focus on computer vision, particularly human behaviour recognition, human pose estimation, and video understanding. He has developed strong foundations in artificial intelligence, machine learning, computer science and technology, digital image processing, graph theory, matrix theory, and probability theory. During his postgraduate studies, he has contributed to forty-four sci papers, including one published at a top-tier ccf a-level ai conference and several under review in cas q1 and q2 journals. He demonstrates excellent english proficiency, independent scientific research ability, and programming skills, especially in python. Previously, he completed his undergraduate studies in communication engineering at the shandong university of science and technology, where he earned multiple scholarships and competition honours. His scholarly impact includes 10 documents, 2 documents, and an h-index of 1.

Profile: Scopus

Featured Publication

Xu, C. (2025). Heterogeneous modal collaborative training network for human action recognition. Knowledge-Based Systems.

Prof. Dr. Xiangyang Sun | Assistive Technologies for the Disabled | Best Researcher Award

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Prof. Dr. Xiangyang Sun | Assistive Technologies for the Disabled | Best Researcher Award

Changchun University | China

Prof. Dr. Xiangyang Sun, a distinguished professor with a Ph.d. in instrument science and technology and postdoctoral research in optical engineering, has made significant contributions to the fields of intelligent robotics and human–machine interaction. With years of dedicated research experience, he has led and completed several high-impact projects funded by the Jilin provincial department of education, the ministry of education’s “Chunhui Plan,” and the jilin provincial department of science and technology. His notable research includes advancements in machine vision system calibration, Assistive Technologies for the Disabled, non-contact inspection technologies, projection optics-based online detection, and visual tracking for rehabilitation assistance. In recent years, his work has extended to the development of sign language interactive robots designed to aid individuals with hearing and movement impairments. Dr. Sun has published over 30 academic papers, reflecting a strong commitment to innovation and scholarly excellence, and has applied for 7 invention patents in related technological domains. his research has been cited 86 times across 80 documents, with 26 publications contributing to an impressive h-index of 5. Through his interdisciplinary approach and impactful research, Dr. Sun continues to advance the frontiers of intelligent robotics, optical sensing, and assistive technology for societal benefit.

Profile: Scopus

Featured Publications

Sun, X. (2025). Research on eye-tracking control methods based on an improved YOLOv11 model. Sensors (Basel, Switzerland).

Sun, X. (2025). Research on an eye movement control method based on an improved YOLO algorithm. Conference paper.

Dr. Ankush Saxena | Condensed Matter Physics | Best Researcher Award

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Dr. Ankush Saxena | Condensed Matter Physics | Best Researcher Award

National Cheng Kung University | Taiwan

Dr. Ankush Saxena is a postdoctoral fellow at the program on key materials, National Cheng Kung University, Tainan, Taiwan , with a distinguished background in experimental condensed matter physics. He earned his Ph.d. from the national physical laboratory, New Delhi, India, where his doctoral research, titled “Insertion of atomic layers in bulk topological materials,” focused on the synthesis and study of quantum and topological materials. With many years of research experience, he has developed deep expertise in crystal growth, structural characterization, and transport analysis of materials such as topological insulators, Weyl semimetals, Condensed Matter Physics and magnetic Van Der Waals systems. His pioneering work on MN-based tetradymite compounds and thermoelectric layered materials has advanced understanding of spintronic and thermoelectric properties. Before joining NCKU, he served as a postdoctoral fellow at national Sun Yat-Sen University, Kaohsiung, Taiwan. Dr. Saxena has authored 8 scientific documents, which have collectively received 71 citations across 60 papers, reflecting an h-index of 5. A gold medalist and recipient of the inspire fellowship and inspire scholarship from India’s department of science and technology, he continues to contribute to advancing research in topological materials, quantum systems, and their applications in next-generation electronic and spintronic devices.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Huang, S.-M., Saxena, A., Cheng, Y., Wang, P.-C., Chen, Y.-J., Chou, M. M. C., Kuo, F.-H., & Chen, R.-S. (2025, November 4). Significant photocurrent enhancement through carrier tuning in Ta-substituted WSe₂ single crystal. ACS Applied Energy Materials.

Huang, S.-M., Saxena, A., Wang, P.-C., Tu, T.-Y., Chen, R.-S., & Chou, M. M. C. (2025, June 24). Enhancement of photocurrent stability in oxidation-resistant WSe₁.₉₅Te₀.₀₅ nanosheets. ACS Omega.

Huang, S.-M., Saxena, A., Cheng, F.-E., Wang, P.-C., Liu, K.-T., & Chou, M. M. (2025, March 11). Anisotropic and temperature-independent magnetic susceptibility peak in MoSe₁.₈Te₀.₂ van der Waals layers. ACS Applied Electronic Materials.

Saxena, A., & Awana, V. P. S. (2024, February 28). Growth and characterization of the magnetic topological insulator candidate Mn₂Sb₂Te₅. Journal of Physics: Condensed Matter.

Saxena, A., Karn, N. K., Sharma, M. M., & Awana, V. P. S. (2023, March). Detailed structural and topological analysis of SnBi₂Te₄ single crystal. Journal of Physics and Chemistry of Solids, 111169.