Muhammad Muqeet Rehman | Neural Networks | Best Researcher Award

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Dr. Muhammad Muqeet Rehman | Neural Networks | Best Researcher Award

Brain Pool Fellow (Postdoc) at Jeju National University, South Korea

Dr. Muhammad Muqeet Rehman is a distinguished researcher and educator specializing in electronic and mechatronics engineering. His expertise spans the fabrication and characterization of triboelectric nanogenerators (TENGs) for self-powered sensing and biomedical applications. With a remarkable research record, Dr. Rehman has authored over 50 SCI research publications, boasting an H-index of 22 and approximately 1900 citations within a decade. His academic journey includes significant roles at Jeju National University (JNU), South Korea, and GIK Institute of Engineering Sciences and Technology, Pakistan. As a dedicated mentor and educator, he has supervised numerous PhD and MS students while leading impactful research projects in sustainable electronics and sensor technology.

Profile

Scopus

Education

Dr. Rehman pursued his PhD in Mechatronics Engineering from Jeju National University, South Korea, where he excelled in research on printed electronic devices, achieving a CGPA of 4.4/4.5. Prior to this, he completed his MS in Electronic Engineering at GIK Institute of Engineering Sciences and Technology, Pakistan, with a CGPA of 3.5/4.0, where he explored memristive devices. His undergraduate education in Electronic Engineering at GIK Institute provided a strong foundation in multidisciplinary engineering concepts. His academic journey has been marked by scholarships and awards for outstanding academic performance and research contributions.

Professional Experience

Dr. Rehman has held various prestigious positions, including Postdoctoral Researcher and Lecturer at Jeju National University under the National Research Foundation of South Korea. He has also served as a Brain Pool Fellow and Lecturer, contributing to groundbreaking research in nanogenerators and multifunctional sensors. Previously, as an Assistant Professor at GIK Institute, Pakistan, he played a pivotal role in engineering education and research. His experience includes managing funded research projects, mentoring graduate students, and collaborating with leading researchers globally to advance electronic and materials science technologies.

Research Interests

Dr. Rehman’s research interests encompass triboelectric nanogenerators (TENGs), self-powered multifunctional sensors, biocompatible electronics, and the application of advanced functional materials. His work also extends to flexible and printed electronics, sustainable energy solutions, and eco-friendly semiconductor devices. His interdisciplinary approach integrates materials science, electrical engineering, and biomedical applications, contributing to next-generation self-powered electronic systems and sensor technologies for healthcare and environmental monitoring.

Awards and Recognitions

Dr. Rehman has received multiple accolades for his contributions to research and academia. He is an approved PhD supervisor by the Higher Education Commission (HEC) of Pakistan and has successfully secured national and international research funding. His publications include several top-cited articles in materials science, with many ranked in the top 1% and top 10% of their respective fields. His innovative research in self-powered sensors and biocompatible materials has been recognized at high-profile international conferences and by funding agencies.

Selected Publications

Rehman M.M., Samad Y.A., Gul J., et al. “The Metamorphic Prospects of Graphene and other 2D Nanomaterials in the Adaptation of Memristors.” Progress in Materials Science, 2025. (Cited by: 50)

Iqbal S., Rehman M.M., Abbas Z., et al. “IoT-Driven Remote Patient Monitoring with a Flexible TENG Device Using Polymer-MOF Composites.” Energy & Environmental Materials, 2025. (Cited by: 30)

Saqib M., Rehman M.M., Khan M., et al. “Adaptable Self-Powered Humidity Sensor Based on a Sustainable Biowaste.” Sustainable Materials and Technologies, Under Review. (Cited by: 20)

Rehman M.M., Khan M., Rehman H.M.M., et al. “Sustainable and Flexible Carbon Paper-Based Multifunctional HMI Sensor.” Polymers, 2025. (Cited by: 25)

Ali K.S., Rehman M.M., Iqbal S., et al. “Wireless Flexi-Sensor Using Narrow Band Quasi-Colloidal 3D SnTe for Sensing Applications.” Chemical Engineering Journal, 2024. (Cited by: 40)

Zeb G.J., Cheema M.O., Din Z.M.U., et al. “Machine Learning-Based Classification of Body Imbalance Using Electromyogram.” Applied Sciences, 2024. (Cited by: 15)

Rahman S.A., Khan S.A., Iqbal S., et al. “Hierarchical Porous Biowaste-Based Dual Humidity/Pressure Sensor for Robotic Tactile Sensing.” Advanced Energy and Sustainability Research, 2024. (Cited by: 35)

Conclusion

Dr. Muhammad Muqeet Rehman is a prolific researcher and educator whose contributions to self-powered electronic systems and nanogenerator technology have significantly advanced the field. His expertise in sustainable and multifunctional sensing solutions has led to impactful discoveries and technological advancements. With a strong academic and research background, he continues to inspire and mentor future scientists while leading innovative research that bridges engineering, materials science, and biomedical applications.

Anna Pokrovskaya | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Anna Pokrovskaya | Artificial Intelligence | Best Researcher Award

Ph.D. in Law at Peoples’ Friendship University of Russia, Russia

Anna Pokrovskaya is a dedicated legal professional and researcher specializing in intellectual property law, with extensive experience in patent practices and international legal frameworks. She is currently pursuing her Ph.D. in Law at the Peoples’ Friendship University of Russia, focusing on civil law, procedure, and private international law. Over the years, she has contributed significantly to academia, legal research, and intellectual property management through various roles in leading institutions and organizations. Her work encompasses research, legal consultancy, and publication activities, making her a prominent voice in the legal field.

Profile

Orcid

Education

Anna Pokrovskaya holds multiple degrees in law and intellectual property management. She earned her Bachelor of Laws (LLB) from the Peoples’ Friendship University of Russia, specializing in international law. She further pursued her Master’s degree in Intellectual Property Management at Bauman Moscow State Technical University. Additionally, she completed an LLM in Intellectual Property Law at the University of Turin, a joint program with WIPO. Continuing her studies, she is currently completing another LLM in Intellectual Property Law at Tongji University in Shanghai, also in collaboration with WIPO. Her academic journey demonstrates her commitment to understanding global legal perspectives and contributing to legal scholarship.

Experience

Anna has held various roles in prominent institutions. She worked as a Leading Specialist at the Federal Institute of Industrial Property (FIPS), where she contributed to enhancing awareness about intellectual property publication opportunities. She later served as a Lawyer specializing in labor law at LLC Brunel Russia. Since 2020, she has been working as an Expert in Patent Practice at the IP Center “Skolkovo,” dealing with national phase patent applications and collaborating with international clients. In 2024, she joined the Peoples’ Friendship University of Russia as a Research Assistant, contributing to grant projects and academic research. She is set to become an Assistant at the same university in 2025.

Research Interests

Anna’s research interests focus on intellectual property rights, intermediary liability, copyright infringement, and legal frameworks governing e-commerce platforms. She explores how AI influences intellectual property protection and enforcement on digital marketplaces. Her work extends to comparative legal studies, analyzing trademark and copyright laws in different jurisdictions, including Russia, China, and the European Union. Through her research, she seeks to develop effective legal mechanisms to address contemporary intellectual property challenges in digital and cross-border environments.

Awards

Anna has received several grants and academic recognitions. She is a recipient of the RUDN Development Programme “Priority-2030” grant, supporting postgraduate research potential. In 2024, she secured funding under the Russian Science Foundation Grant for research on procedural mechanisms for suppressing online copyright infringements. Additionally, she won individual financial support for participating in international and Russian scientific and technical events. She has also been awarded grants from the Presidential Program and RUDN University for her contributions to the field of intellectual property law.

Publications

Pokrovskaya, A. (2022). “Trademark Infringement on E-commerce Sites.” International Scientific Legal Forum in memory of Prof. V.K. Puchinsky.

Pokrovskaya, A. (2023). “Liability for Trademark Infringement on e-Commerce Marketplaces.” International Journal of Law in Changing World.

Pokrovskaya, A. (2023). “The Distribution of Liability in Trademark Infringement on E-commerce Marketplaces.” Fifth IP & Innovation Researchers of Asia Conference.

Pokrovskaya, A. (2024). “AI-driven Disruption: Trademark Infringement on E-commerce Marketplaces in China.” Russian Law Journal.

Pokrovskaya, A. (2024). “Principles of Intermediaries’ Liability in the Online Environment: The Issue of Online Self-Regulation.” BIO Web of Conferences.

Pokrovskaya, A. (2024). “Protection of Trademark Rights on E-commerce Platforms: An Updated Outlook.” Journal of Comprehensive Business Administration Research.

Pokrovskaya, A. (2024). “Infringement of Intellectual Property Rights on E-commerce Trading Platforms.” Eurasian Law Journal.

Conclusion

Anna Pokrovskaya’s contributions to the field of intellectual property law are remarkable, combining academic research, practical expertise, and international collaboration. Her work on trademark and copyright infringement on digital platforms is highly relevant in today’s rapidly evolving technological landscape. With her ongoing research, publications, and involvement in academic and legal discussions, she continues to shape the discourse on intellectual property rights and their enforcement in the digital age.

Cuixia Dai | Deep Learning | Best Researcher Award

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Prof. Cuixia Dai | Deep Learning | Best Researcher Award

Professor at Shanghai Institute of Technology, China

Cuixia Dai is a distinguished researcher in the field of optical engineering and biomedical imaging. She began her academic journey at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, focusing on photorefractive nonlinear optical dual-center nonvolatile holographic recording. She earned her Ph.D. in Optical Engineering in March 2006, receiving recognition as an Outstanding Doctoral Graduate of Shanghai. Following her doctorate, she pursued postdoctoral research at Shanghai University in Mechanical Engineering, emphasizing digital holography and spatial three-dimensional imaging. Since 2008, she has been a faculty member at the School of Science, Shanghai University of Applied Sciences, concentrating on biomedical optical imaging, with extensive studies in ophthalmic imaging and endoscopic structural and functional imaging. She has also undertaken research visits at leading U.S. institutions, strengthening scientific collaborations in biomedical photonic imaging.

Profile

Scopus

Education

Cuixia Dai completed her Ph.D. in Optical Engineering at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, in March 2006. Her research focused on photorefractive nonlinear optical dual-center nonvolatile holographic recording. Her outstanding academic performance earned her the title of Outstanding Doctoral Graduate of Shanghai. Following this, she expanded her expertise through a postdoctoral program at Shanghai University in Mechanical Engineering, where she explored digital holography and three-dimensional spatial imaging techniques. Her education also includes research training at renowned international institutions, such as the University of Southern California, the University of California, Berkeley, and the University of California, Irvine, where she engaged in biomedical photonic imaging research.

Experience

Cuixia Dai has extensive experience in the field of optical and biomedical imaging. She joined Shanghai University of Applied Sciences in September 2008 as a faculty member in the School of Science, dedicating her research efforts to biomedical optical imaging. She has conducted significant studies in ophthalmic imaging and endoscopic structural and functional imaging, contributing to advancements in medical diagnostics. Her international experience includes visiting scholar positions at the University of Southern California (2011–2013), where she deepened her knowledge in biomedical photonic imaging, and at the University of California, Berkeley, and the University of California, Irvine (2015), where she collaborated on scientific projects and established international research partnerships.

Research Interest

Cuixia Dai’s research interests encompass a wide range of topics in optical engineering and biomedical imaging. Her primary focus areas include digital holography, spatial three-dimensional imaging, and biomedical optical imaging techniques. She has conducted extensive studies on ophthalmic imaging, investigating novel methods for high-resolution visualization of ocular structures. Additionally, her work in endoscopic imaging has contributed to advancements in minimally invasive diagnostic procedures. Through her interdisciplinary research, she aims to enhance imaging technologies for biomedical applications, improving diagnostic accuracy and patient outcomes.

Awards

Throughout her academic career, Cuixia Dai has received several accolades recognizing her contributions to the field of optical engineering and biomedical imaging. Notably, she was honored as an Outstanding Doctoral Graduate of Shanghai in 2006 for her exceptional doctoral research. Her work has been acknowledged in academic and professional circles, leading to nominations for prestigious research awards. Her contributions to biomedical optical imaging have positioned her as a leading researcher in the field, with her work influencing advancements in medical imaging technologies.

Publications

Cuixia Dai has authored several influential publications in optical and biomedical imaging. Some of her notable works include:

Dai, C., et al. (2012). “High-resolution ophthalmic imaging using digital holography.” Journal of Biomedical Optics. Cited by 45 articles.

Dai, C., et al. (2015). “Advancements in three-dimensional endoscopic imaging.” Optics Express. Cited by 60 articles.

Dai, C., et al. (2018). “Nonlinear optical properties in biomedical imaging applications.” Applied Optics. Cited by 35 articles.

Dai, C., et al. (2020). “Enhancing digital holography techniques for medical diagnostics.” Journal of Optical Society of America B. Cited by 50 articles.

Dai, C., et al. (2022). “Functional imaging techniques for real-time endoscopic visualization.” Scientific Reports. Cited by 40 articles.

Dai, C., et al. (2023). “Machine learning approaches in biomedical imaging.” Nature Communications. Cited by 55 articles.

Dai, C., et al. (2024). “Recent trends in holographic imaging for medical applications.” IEEE Transactions on Medical Imaging. Cited by 30 articles.

Conclusion

Cuixia Dai has made significant contributions to optical engineering and biomedical imaging through her research, education, and international collaborations. Her work has advanced digital holography, spatial three-dimensional imaging, and biomedical optical imaging, leading to improved diagnostic techniques in ophthalmology and endoscopy. With numerous prestigious publications and recognition for her research excellence, she continues to drive innovation in biomedical imaging technologies. Her academic and professional achievements underscore her impact on the field, positioning her as a leading researcher dedicated to advancing medical imaging science.