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

Published on by Robotics and Automation

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

Published on by Robotics and Automation

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

Published on by Robotics and Automation

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

Published on by Robotics and Automation

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

Published on by Robotics and Automation

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

Published on by Robotics and Automation

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

Published on by Robotics and Automation

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.

Prof. Dr. Lacramioara Popa | AI in Medicine | Best Researcher Award

Published on by Robotics and Automation

Prof. Dr. Lacramioara Popa | AI in Medicine | Best Researcher Award

Carol Davila University of Medicine and Pharmacy | Romania

Dr. Popa Lăcrămioara is a distinguished professor and habilitated doctor at the Carol Davila University of Medicine and Pharmacy, Faculty of Pharmacy, Bucharest, Romania. With an academic career spanning over three decades, she has made significant contributions to the fields of physical and colloidal chemistry, pharmaceutical sciences, and scientific research methodology. Since, she has served as a professor, leading numerous undergraduate, postgraduate, and doctoral courses, AI in Medicine   and has been instrumental in developing and implementing innovative curricula such as scientific research methodology and intellectual property studies within the doctoral school. Her research expertise lies in drug design, pharmaceutical formulation, nanostructured materials for biomedical applications, and quality by design principles. Over the years, Dr. Popa has published extensively, with 100 scientific documents, accumulating 1,649 citations across 1,401 referencing documents, and achieving an impressive h-index of 21, reflecting her impactful scholarly influence in pharmaceutical and chemical sciences. her dedication to education, mentorship, and research excellence continues to inspire the next generation of pharmacists and scientists, solidifying her reputation as a leading academic figure in Romanian and international pharmaceutical education and research.

Profiles: Scopus | Orcid

Featured Publications

Hodoșan, C., Gîrd, C. E., Marin, Ș.-C., Mihalache, A., Luță, E.-A., Ioniță, E.-I., Biță, A., Gheorghe, Ș., Feodorov, L., Popovici, V., & Popa, L. (2025, October). Phytochemical composition and antioxidant activity of traditional plant extracts with biocidal effects and soil-enhancing potential. Antioxidants, 14(10), 1198.

Luca, I., Albu Kaya, M. G., Țuțuianu, R., Dinu-Pîrvu, C. E., Marin, M. M., Popa, L., Titorencu, I., Anuța, V., & Ghica, M. V. (2025, October 2). Effect of gellan gum on the properties of collagen-HPMC freeze-dried hydrogels for mucosal administration. Gels, 11(10), 793.

Anuța, V., Blidaru, A., Dinu-Pîrvu, C.-E., Fierascu, R. C., Fierascu, I., Toma (Sărdărescu), D.-I., Popa, L., Ghica, M. V., & Prisada, R.-M. (2025, July 2). Metal-based nanoparticles with biostimulatory effects: Harnessing nanotechnology for enhanced agricultural sustainability. Materials, 18(13), 3142.

Popa, L., Ghica, M. V., & Dinu-Pîrvu, C.-E. (2025, May 19). Chitosan biomaterials: Advances and challenges—2nd edition. International Journal of Molecular Sciences, 26(10), 4836.

Tudoroiu, E.-E., Albu Kaya, M. G., Dinu-Pîrvu, C. E., Popa, L., Anuța, V., Ignat, M., Visileanu, E., Kaya, D. A., Prisada, R. M., & Ghica, M. V. (2025, May 7). Development of smart pH-sensitive collagen-hydroxyethylcellulose films with naproxen for burn wound healing. Pharmaceuticals, 18(5), 689.

Mr. Muhammad Abbas | Mathematics | Best Researcher Award

Published on by Robotics and Automation

Mr. Muhammad Abbas | Mathematics | Best Researcher Award

University of Peshawar | Pakistan

Mr. Muhammad Abbas is an MPhil scholar in the Department of mathematics at the University of Peshawar, Pakistan, specializing in dynamic systems and neural network models. His academic jouney reflects a deep commitment to understanding complex systems through mathematical modeling and analytical methods. His primary research interests include dynamic systems, neural network models, fixed point theory, time scale theory, Mathematics and control theory. Muhammad abbas has contributed three research papers published in reputed journals indexed in scopus and other international databases, earning a total of 3 citations and achieving an h-index of 1. His recent study makes a pioneering contribution by examining synchronization and stability issues in a network of spiking neural networks with time delays over time scales. this innovative work introduces new control strategies-feedback and output control protocols-to achieve ulam-hyers-rassias stability and exponential synchronization. Through his growing research portfolio, Muhammad Abbas aims to advance the mathematical foundations of neural systems and control theory while bridging the gap between theoretical research and real-world computational models. With a focus on quality research and academic excellence, he continues to explore emerging intersections between mathematics and intelligent systems, contributing to the broader development of computational and applied mathematical sciences.

Profile: Scopus

Featured Publication

Abbas, M. (2025). Exponential synchronization and Ulam-Hyers-Rassias stability for n spiking neural networks with time delays via different controller matrix over a time scale. Ain Shams Engineering Journal.

Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

Published on by Robotics and Automation

Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Dr. Nitin Desai is a distinguished researcher in industrial robotics and manufacturing automation, with a strong record of interdisciplinary contributions in both software and hardware domains. He is currently pursuing a Ph.d. in robotics at the Indian Institute of Technology Kharagpur, focusing on high-precision 6d pose estimation for robot manipulators using deep learning and 3d vision techniques. His expertise spans computer vision, vision-language models, large language models, reinforcement learning, Industrial Robotics and generative ai—applied to robotic motion planning, grasping, and autonomous decision-making. prior to his doctoral work, he earned his M.Tech. in cad cam and automation and robotics from veermata jijabai technological institute, mumbai, B.E. In mechanical engineering from dkte society’s textile & engineering institute, Kolhapur. Dr. Desai has served as a research scholar at the centre of excellence in advanced manufacturing technology, iit kharagpur, and as a technical consultant at scale ai, contributing to generative ai model training and data annotation for advanced automation systems. With 1 citation, 3 published documents, and an h-index of 1, his scholarly work reflects growing recognition in the academic community. his ongoing research continues to bridge artificial intelligence, robotics, and industrial automation for next-generation intelligent systems.

Profile: Scopus

Featured Publication

Desai, N. (2025). Implementation of Soft Computing-Based Metaheuristic Algorithms in Multiobjective Environmentally-Conscious Machining Operation Sequence Optimization with Carbon Emission Reduction.