Changsheng Dai | Medical Robotics | Best Researcher Award

Prof. Changsheng Dai | Medical Robotics | Best Researcher Award

Professor | Dalian University of Technology | China

Prof. Changsheng Dai is a distinguished professor at the Dalian University of Technology, recognized for his groundbreaking work in robotics, automation, and biomedical engineering. With a strong foundation in mechanical engineering and advanced expertise in robotic micromanipulation, he has contributed significantly to the fields of reproductive medicine and cellular automation. His research bridges engineering with medical science, advancing technologies for assisted reproduction and precision medicine. Through a global academic journey, including impactful training and collaborations in Canada and China, he has established himself as a leading scientist whose work is widely published, awarded, and applied in both academia and industry.

Publication Profile

Scopus

Google Scholar

Education Background

Prof. Changsheng Dai’s academic foundation is firmly rooted in mechanical engineering, beginning with his bachelor’s and master’s studies at the Harbin Institute of Technology. He further advanced his academic journey by pursuing doctoral studies at the University of Toronto, specializing in mechanical engineering under the mentorship of Yu Sun. His doctoral research integrated robotics with biomedical applications, providing a basis for future innovations in micromanipulation systems. This rigorous education combined engineering precision with life sciences applications, giving him the interdisciplinary expertise that has shaped his career. His academic background demonstrates strong theoretical and applied knowledge, supporting his research contributions to automation and robotics.

Professional Experience

Prof. Changsheng Dai has built a solid career that spans international collaboration and advanced research. His experience includes a prestigious postdoctoral fellowship at the University of Toronto, where he refined techniques in robotic micromanipulation, cellular analysis, and automation under expert guidance. Following this, he joined the Dalian University of Technology as a professor, leading research initiatives in robotics and automation with direct applications in reproductive medicine and bioengineering. He has also contributed to the academic community through editorial and reviewing roles, organizing conference sessions, and mentoring young researchers. His career reflects a consistent drive to bridge engineering innovation with medical and scientific progress.

Awards and Honors

Prof. Changsheng Dai has received numerous prestigious honors that recognize his pioneering contributions. His research has been awarded the IEEE International Conference on Robotics and Automation Best Paper Award in Automation, marking his excellence in automation research. He was also recognized as a finalist for the IEEE Robotics and Automation Letters Best Paper Award and IEEE/ASME Transactions on Mechatronics Best Transaction Paper Award. Additionally, he earned first prizes from the American Society for Reproductive Medicine for technical achievements in reproductive technologies. These awards highlight his influence in both engineering and medical fields, reinforcing his reputation as a globally recognized researcher dedicated to innovation and impact.

Research Focus

The core focus of Prof. Changsheng Dai’s research lies in robotics, automation, and their applications in reproductive medicine and cellular systems. He has developed pioneering techniques for non-invasive sperm analysis, robotic micromanipulation, and automated systems for assisted reproductive technologies. His work explores the intersection of mechanical precision and biological complexity, designing advanced robotic systems for delicate cellular processes such as sperm immobilization, blastocyst biopsy, and oocyte manipulation. Beyond reproductive medicine, he has advanced methodologies in automation science and control systems for biological cells. His research agenda continues to address critical challenges in healthcare technologies, combining engineering expertise with medical innovation for global benefit.

Publication Notes

  • Advances in sperm analysis: techniques, discoveries and applications
    Published Year: 2021
    Citation: 63

  • Automated non-invasive measurement of single sperm’s motility and morphology
    Published Year: 2018
    Citation: 49

  • Staining-free, Automated Sperm Analysis for In Vitro Fertilization Lab Use
    Published Year: 2022
    Citation: 7

  • Robotic Manipulation of Sperm as a Deformable Linear Object
    Published Year: 2022
    Citation: 27

  • Robotic Manipulation of Deformable Cells for Orientation Control
    Published Year: 2019
    Citation: 81

Conclusion

Prof. Changsheng Dai is a prominent scholar whose work has reshaped the intersection of robotics, automation, and medical applications. With an exceptional academic foundation, valuable international experience, and prestigious recognitions, he stands as a leader in robotic micromanipulation and reproductive medicine technologies. His contributions include award-winning research, influential publications, patented innovations, and active service within the IEEE community. By advancing both theory and practice, he has established a research portfolio that impacts global science and technology. As he continues to lead initiatives at Dalian University of Technology, his future work promises further innovation in robotics and life sciences integration.

Chengxiao Yu | Computer Network | Best Researcher Award

Dr. Chengxiao Yu | Computer Network | Best Researcher Award

Research Associate | Peng Cheng Laboratory | China

Dr. Chengxiao Yu is a researcher in the field of communication and networking technologies, contributing to advancements in next-generation network systems. He completed his studies at Beijing Jiaotong University, where he gained expertise in communication and information systems. Currently, he serves as an Assistant Researcher at the Department of New Networks in Peng Cheng Laboratory, Shenzhen, China. With multiple publications in leading international journals and conferences, his work reflects a strong focus on cutting-edge topics such as multipath transmission, intelligent networking, and secure communication systems. His academic and professional contributions highlight his commitment to innovative research.

Publication Profile

ORCID

Education Background

Dr. Chengxiao Yu pursued both his Bachelor’s and doctoral studies in communication and information systems at Beijing Jiaotong University, one of China’s leading institutions in engineering and technology. During his academic journey, he built a strong foundation in wireless networks, multipath transmission, and data communication technologies. His research training enabled him to explore interdisciplinary approaches involving machine learning and network programmability. His education at Beijing Jiaotong University provided him with the expertise and problem-solving skills to address challenges in dynamic and heterogeneous networking environments, preparing him for impactful contributions to both academia and applied research in communication systems.

Professional Experience

Following his advanced studies, Dr. Chengxiao Yu joined Peng Cheng Laboratory in Shenzhen, China, as an Assistant Researcher in the Department of New Networks. In this capacity, he has been actively engaged in advancing high-performance networking technologies and collaborating on projects addressing next-generation communication challenges. His professional career includes publishing impactful research across reputed journals and conferences such as IEEE Internet of Things Journal, IEEE Transactions, and flagship international conferences. At Peng Cheng Laboratory, he continues to combine theoretical insights with practical applications, aiming to push the boundaries of networking systems and future communication infrastructure innovations.

Awards and Honors

Dr. Chengxiao Yu has gained recognition through invited positions and distinctions associated with Beijing Jiaotong University and research activities in Peng Cheng Laboratory. His consistent contributions to high-quality publications in IEEE and other international platforms highlight his academic recognition. His research excellence and technical insights into multipath communication, congestion control, and secure network designs have helped him establish a strong reputation within the academic and professional networking community. While his career is still growing, his body of published work and research engagements reflects a trajectory marked by innovation, recognition, and active participation in scientific advancements.

Research Focus

Dr. Chengxiao Yu’s research interests lie at the intersection of next-generation networking technologies and intelligent systems. He focuses on concurrent multipath transfer, machine learning-driven networking, software-defined networking, and programmable data planes. His studies address pressing challenges in dynamic wireless environments, vehicular networks, high-speed rail communications, and disaster recovery systems. By applying AI and data-driven approaches, his research contributes to enhancing reliability, security, and efficiency in communication networks. Additionally, he has explored applications in Internet of Things ecosystems, blockchain-based systems, and high-fidelity voice services in contexts, reflecting his broad yet specialized engagement with future network infrastructures.

Publications – Top Notes

  • Large models based high-fidelity voice services over 6G narrowband non-terrestrial networks
    Published Year: 2025
    Citation: 1

  • INCC: In-Network Congestion Control With Proactive Bottleneck Awareness
    Published Year: 2025
    Citation: 1

  • MultiS-IDRM: An Intelligent Disaster Recovery Mechanism for Multi-interface Server in Emergency Communication Systems
    Published Year: 2025
    Citation: 1

  • TA2LS: A Traffic-Aware Multipath Scheduler for Cost-Effective QoE in Dynamic HetNets
    Published Year: 2024
    Citation: 5

  • E-Chain: Lightweight and Secure BIoT Voting Mechanism on Variable Bandwidth Networks
    Published Year: 2024
    Citation: 4

Conclusion

Dr. Chengxiao Yu is a promising researcher whose work continues to shape the future of communication and networking systems. With his strong academic background and current research endeavors at Peng Cheng Laboratory, he is contributing to the development of innovative and reliable communication frameworks. His publications and scientific output demonstrate a commitment to addressing real-world challenges in complex networking environments. As he advances further in his career, his expertise in multipath networking, machine learning integration, and programmable network design will continue to support global technological progress in the communication and information system field.

 

Ying Xu | Interface Technology | Best Researcher Award

Dr. Ying Xu | Interface Technology | Best Researcher Award

Qingdao University of Technology | China

Dr. Ying Xu is a dedicated researcher at Qingdao University of Technology, specializing in tribology and surface interface technology. His work primarily explores the lubrication of superhydrophobic coatings, textured surfaces, magnetic fluid lubrication, and gel lubricants, with significant contributions to the development of advanced lubricating materials. He has published impactful research in international journals, contributing to the optimization of corrosion-resistant, anti-friction coatings and hydrogel-based lubrication strategies. His collaborations with leading laboratories and academic institutions strengthen his role in advancing mechanical engineering research, while his projects and patent development underline his growing influence in the field.

Publication Profile

ORCID

Education Background

Dr. Ying Xu received his doctoral training in mechanical engineering, focusing on tribology and advanced lubrication systems. His academic foundation emphasized the design, performance optimization, and application of surface coatings, gels, and magnetic fluids within lubrication technology. Through academic mentorship and research collaborations, he honed his expertise in both experimental and computational methodologies, including molecular dynamics simulations and CFD analyses of hydrodynamic bearings. This comprehensive educational background has positioned him to effectively bridge theory with practical engineering applications, fostering innovation in advanced lubricating materials and surface interface technology, which serve as central pillars of his research contributions today.

Professional Experience

Dr. Ying Xu has established a strong research portfolio at Qingdao University of Technology, where he actively contributes to projects involving surface coatings and lubrication mechanisms. His work extends to industry collaborations, including consultancy on applied lubrication systems for China Yangtze Power Co., Ltd. His involvement in multiple funded projects under the National Natural Science Foundation of China and other institutions demonstrates his capability to lead and complete significant research initiatives. Beyond academic publishing, he has filed a patent on corrosion-resistant superhydrophobic coatings, reflecting his commitment to innovation. His career is steadily building towards impactful contributions in tribology.

Awards and Honors

Although formal awards and memberships have not yet been recorded, Dr. Ying Xu’s recognition comes through his publications in reputed journals such as Langmuir and Lubricants, where his innovative studies have received citations and academic attention. His successful completion of national and provincial research projects underlines his academic standing, while his patent development demonstrates technological advancement with practical industrial value. Furthermore, his collaborative engagements with leading Chinese universities and research laboratories highlight his respected position within the scientific community. His growing citation record and impactful research direction point toward future recognition at international and national award platforms.

Research Focus

Dr. Ying Xu’s research concentrates on enhancing wear resistance and lubrication properties at the surface interface. He has advanced strategies in the design of Ni-P/CeO2 superhydrophobic coatings that balance anti-friction with adhesion strength. Additionally, he has explored hydrogel-based lubrication, leveraging hydration mechanisms to achieve improved friction performance under diverse conditions. His research integrates experimental techniques with computational models, including molecular dynamics and CFD simulations, to optimize tribological behavior. By addressing key challenges in surface modification and lubrication mechanisms, his work contributes both to theoretical frameworks and practical advancements, pushing forward the applications of advanced lubricating materials.

Publication Top Notes

Title: Designing a Robust Ni-P/CeO2 Superhydrophobic Composite Coating for Synergistically Enhanced Corrosion Protection and Friction Reduction Performance
Published Year: 2024
Citation: 2

Title: Advances on Hydrogel Lubrication Modification Under Diverse Design Strategies
Published Year: 2025
Citation: 1

Conclusion

Through his focused contributions to tribology and lubrication science, Dr. Ying Xu has emerged as a promising researcher with innovative solutions to challenges in surface engineering. His academic publications, patent development, and collaborative projects reflect both scientific depth and practical relevance. By advancing knowledge on superhydrophobic coatings and hydrogel lubricants, he provides frameworks for designing next-generation lubrication systems with industrial applications. His dedication to bridging experimental research with computational analysis strengthens his impact across mechanical engineering and materials science. As his work gains recognition, he continues to build a foundation for long-term advancements in advanced surface technologies.

Akshat Desai | Medical Image Analysis | Best Researcher Award

Mr. Akshat Desai | Medical Image Analysis | Best Researcher Award

Graduate Research Assistant | California State University Fullerton | United States

Mr. Akshat Desai is a dedicated computer scientist and researcher specializing in machine learning, deep learning, and artificial intelligence applications. His work bridges theoretical research with practical innovations, focusing on developing intelligent systems that solve real-world problems. Akshat has contributed to advanced projects in areas such as satellite imaging, medical diagnosis, and energy forecasting. With hands-on expertise in state-of-the-art frameworks, he has showcased excellence in building AI-driven assistants, predictive models, and automated systems. His career reflects a balance of research and engineering, marked by publications, project implementations, and professional roles that emphasize impactful technology development.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Mr. Akshat Desai pursued his academic journey with strong foundations in computer science and engineering. He earned his bachelor’s degree in Computer Science and Engineering from Charotar University of Science and Technology, where he focused on the fundamentals of algorithms, programming, and applied machine learning. He later advanced his academic career by joining California State University, Fullerton, where he is completing a master’s degree in Computer Science. His graduate studies emphasize machine learning, deep learning, and advanced artificial intelligence systems, supported by a strong academic performance that reflects his commitment to both theoretical and practical aspects of computing.

Professional Experience

Mr. Akshat Desai has gathered valuable professional experience through research assistantships and engineering roles. At California State University, Fullerton, he worked as a graduate research assistant, where he built an AI assistant for Verilog HDL and circuit design using retrieval-augmented generation and deployed hybrid models for Alzheimer’s classification, alongside energy forecasting projects. Previously, he contributed to the Space Applications Center of ISRO as a machine learning engineer, where he developed automated exposure control systems for satellite imaging and debris tracking. His diverse experiences demonstrate his ability to work across hardware-integrated AI systems and software-intensive research domains.

Awards and Honors

Mr. Akshat Desai has been recognized for his contributions through research publications in reputed international conferences and journals, which stand as acknowledgments of his innovative work. His co-authored publication on automated focusing and exposure systems for satellite observation highlights his impactful contribution to aerospace applications. Additionally, his collaboration on YOLO-based waste detection systems demonstrates his alignment with sustainable AI practices. These achievements represent a blend of academic recognition and professional distinction, positioning him as a promising researcher in artificial intelligence. His continued commitment to publishing quality research underscores his recognition within the scientific community.

Research Focus

Mr. Akshat Desai’s research focus lies at the intersection of machine learning, deep learning, and intelligent system development. His work explores applications of convolutional neural networks, recurrent networks, autoencoders, and large language models in real-world scenarios. Notably, he applies AI in fields such as medical image analysis, with research on Alzheimer’s detection, as well as aerospace, where he has engineered systems for orbital debris tracking. His interest extends to renewable energy forecasting and computer vision-based classification problems. With expertise in model optimization, retrieval-augmented generation, and deployment frameworks, Mr. Akshat Desai continues to advance research that balances innovation, accuracy, and scalability.

Publications – Top  Notes

  1. Automated focusing and exposure control of camera for satellite observation and debris survey
    Published Year: 2025
    Citation: 1

  2. YOLOv8-based waste detection system for recycling plants: A deep learning approach
    Published Year: 2023
    Citation: 3

Conclusion

Mr. Akshat Desai represents a new generation of researchers committed to advancing artificial intelligence with practical solutions across diverse fields. His educational achievements, combined with professional experience at leading institutions and recognized research contributions, mark him as a strong candidate for future academic and industry leadership. Akshat’s work exemplifies how AI can address challenges in healthcare, aerospace, and sustainability, while his technical versatility ensures adaptability across evolving research domains. With a forward-looking approach, he continues to contribute to the scientific community by merging innovation with impactful applications, shaping the future of intelligent technologies.

Shaik Afzal Ahammed M S | Area Networks | Best Researcher Award

Prof. Shaik Afzal Ahammed M S | Area Networks | Best Researcher Award

Assistant Professor | Government First Grade College Kadur | India

Prof. Shaik Afzal Ahammed M S is an academic professional serving as an Assistant Professor in the Department of Computer Science and Applications. With a strong foundation in computer science and engineering, he has developed expertise in both teaching and research. His professional journey reflects a blend of academic rigor, research innovation, and leadership in organizing academic events. Alongside teaching, he has actively contributed to research in emerging domains such as machine learning, wireless technologies, and medical computing. His career highlights a dedication to advancing knowledge, guiding students, and contributing to the growth of the computer science discipline.

Publication Profile

Scopus

Education Background

He holds a Bachelor of Engineering in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, and a Master of Technology in Computer Science and Engineering from the same university. Currently, he is pursuing a doctoral degree at Mangalore University, where his research aligns with advanced areas of computing. To strengthen his academic credentials, he has also qualified competitive eligibility examinations such as Karnataka State Eligibility Test, UGC-NET with Junior Research Fellowship, and GATE. His academic journey demonstrates a strong commitment to professional growth and continuous learning in computer science.

Professional Experience

His professional experience covers teaching, research, and industry exposure, where he has significantly contributed to undergraduate and postgraduate education in computer science. He has guided students through advanced concepts in computing while applying innovative teaching practices. His experience also extends to research collaborations and practical engagement with industry-related projects, which has enhanced his ability to integrate theoretical knowledge with practical applications. Additionally, he has organized and participated in faculty development programs, seminars, and international webinars, reflecting his leadership in academic activities and dedication to enriching both institutional and student development.

Awards and Honors

Over the course of his career, he has gained recognition through prestigious academic eligibility qualifications including the Karnataka State Eligibility Test, UGC-NET with Junior Research Fellowship, and GATE, which validate his research potential and teaching abilities. He is a member of esteemed professional organizations such as IEEE, CSI, and MISTE, which further reflect his academic standing. His active role as a resource person and coordinator in several academic events demonstrates his contribution beyond classroom teaching. These achievements highlight his dedication to excellence in academia and his recognition as a competent researcher and educator.

Research Focus

His research primarily focuses on Wireless Body Area Networks and the Internet of Medical Things, where he explores intelligent and secure communication systems in healthcare applications. He is also engaged in advancing knowledge in machine learning, deep learning, edge computing, and grid computing. His published research contributions include journal articles, conference proceedings, and book chapters in these domains. Through his research, he aims to address real-world challenges by integrating medical systems with advanced computational techniques. His scholarly contributions highlight his vision to contribute toward innovations that bridge healthcare and modern computing technologies.

Publications Notes

SeAF-PrS: Effective and adaptive priority scheduling scheme for improving the quality of service in wireless body area networks
Published Year: 2025

Conclusion

Prof. Shaik Afzal Ahammed M S has established himself as a dedicated academic and researcher in computer science, combining teaching excellence with impactful research. His contributions extend beyond the classroom into organizing academic events and engaging in professional bodies that enhance the research community. With a strong academic background, recognized research work, and continuous pursuit of innovative studies, he continues to contribute meaningfully to the advancement of computer science and its applications. His work reflects a commitment to professional excellence, student development, and the growth of research in emerging computational technologies.

 

Wei Huang | Civil Aviation | Best Researcher Award

Dr. Wei Huang | Civil Aviation | Best Researcher Award

Dr. Wei Huang | Jingdezhen University | China

Dr. Wei Huang is a dedicated scholar and researcher at the School of Information Engineering, Jingdezhen University. With a strong background in computer science and civil aviation, he has significantly contributed to integrating artificial intelligence into aviation systems. His academic journey reflects a commitment to advancing computational methods that enhance the safety, efficiency, and reliability of air traffic operations. By collaborating with industry and academic partners, Dr. Huang has been actively engaged in research projects, publishing in high-impact journals, and contributing to technological innovations that bridge theoretical research with real-world aviation applications.

Publication Profile

ORCID

Education Background

Dr. Wei Huang earned his doctoral degree in Computer Science from the prestigious Russian Academy of Sciences, where he developed expertise in artificial intelligence and computational technologies. His education was complemented by professional training, culminating in his certification as a licensed Air Traffic Controller under the Civil Aviation Administration of China. This dual foundation in both advanced computer science and civil aviation allows him to approach research from a unique interdisciplinary perspective, linking theory and practice. His educational background has provided him with the skills and insight to conduct impactful studies in the low-altitude economy and intelligent aviation systems.

Professional Experience

Dr. Wei Huang has cultivated a professional career that blends academic research with industrial collaboration. As a faculty member at Jingdezhen University, he mentors students, leads research initiatives, and contributes to the institution’s academic reputation. His collaborations include projects with Jiangxi Helicopter Co., Ltd., where he worked on continuous improvement of the JH-A helicopter, as well as funded initiatives focusing on aircraft landing marking recognition through deep learning. He also serves as an expert reviewer for academic journals and evaluates projects for the Jiangxi Association for Science and Technology, reflecting his role as both a researcher and evaluator in his field.

Awards and Honors

Throughout his career, Dr. Wei Huang has earned recognition for his expertise and contributions to both academic and applied research. He has been appointed as an expert evaluator by professional bodies, including the Jiangxi Association for Science and Technology and the Low Altitude Leading Alliance. His work has received project funding from provincial education authorities, which highlights its value and relevance to aviation development. His patents, research outputs, and growing citation impact underscore his influence in the field. These acknowledgments demonstrate his leadership in advancing innovative solutions that support the evolving demands of the aviation and computer science sectors.

Research Focus

Dr. Wei Huang’s primary research focus is the application of computer science and artificial intelligence in civil aviation. He has explored innovative methods for optimizing aircraft safety and efficiency, particularly through intelligent detection systems. His most notable contribution is an optimized YOLOvs model for detecting runway markings during aircraft landings, improving accuracy and robustness of visual recognition. His work integrates deep learning strategies, data augmentation, advanced activation functions, and deformable convolutions to enhance model performance. He also investigates low-altitude economy applications, contributing to both theoretical research and industrial projects that push forward the integration of AI technologies in aviation.

Publications 

Research on Optimized YOLOv5s Algorithm for Detecting Aircraft Landing Runway Markings
Published Year: 2025
Citation : 1

Conclusion

Dr. Wei Huang stands out as a researcher whose academic achievements and professional contributions continue to shape the integration of artificial intelligence with civil aviation systems. His combination of computer science expertise, aviation background, and practical innovations reflects a rare blend of skills. With impactful publications, industrial collaborations, and recognition by scientific organizations, his career exemplifies dedication to advancing technology in service of safety and efficiency. His ongoing research and leadership in projects suggest a promising trajectory, positioning him as an influential figure in developing intelligent aviation solutions and strengthening global contributions to computational research in civil aviation.

Jose Juan Alonso del Rosario | Mathematical Morphology | Best Researcher Award

Prof. Dr. Jose Juan Alonso del Rosario | Mathematical Morphology | Best Researcher Award

Professor | University of Cádiz | Spain

Prof. Dr. Jose Juan Alonso del Rosario is a distinguished Spanish physicist and academic who has significantly contributed to the field of applied physics, with a particular focus on mathematical morphology and numerical modeling. Currently serving as a Full Professor at the University of Cádiz, he has built an impressive career that bridges teaching, research, and leadership. His scholarly work has been instrumental in advancing oceanographic studies, internal wave predictions, and applications of remote sensing in marine sciences. Throughout his career, he has established himself as an influential researcher and educator in applied physics and ocean engineering.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

He began his academic journey at the University of Las Palmas de Gran Canaria, where he completed his foundational studies with outstanding performance. His academic excellence laid the groundwork for his doctoral research at the University of Cádiz, where he obtained his Ph.D. in applied physics. During his formative years, he engaged in research visits to institutions such as the Royal Observatory of Belgium and the Real Instituto y Observatorio de la Armada in Cádiz, where he specialized in tides, time sections, and ephemeris. This strong educational foundation shaped his later success in research and teaching.

Professional Experience

His professional career has been anchored at the University of Cádiz, where he secured a Full Professor position early and has since contributed extensively to teaching and research. He has taught a wide range of subjects, including numerical modeling, fluid mechanics, mechanics, thermodynamics, waves, and electromagnetics, particularly within marine sciences and naval engineering. Beyond lecturing, he has coordinated the Master’s program in Naval and Ocean Engineering for over a decade and served in leadership roles, including as subdirector of the Naval and Ocean School. His influence extends internationally, with invited lectures in the United States and Guatemala.

Awards and Honors

Prof. Dr. Jose Juan Alonso del Rosario’s career is marked by academic recognition and professional achievements. His outstanding performance as a student earned him recognition as the best academic expedient during his degree years. Over time, his career has been validated through multiple accredited research and teaching periods, reflecting his consistent scholarly contributions. He has supervised doctoral research, participated in European and national projects, and contributed to impactful technological transfers. His recognition as an ANECA-validated Senior Full Professor further underscores his reputation as a leading figure in applied physics and engineering sciences.

Research Focus

His research is multidisciplinary, combining applied physics, numerical modeling, and environmental studies. Early in his career, he worked extensively on tidal theory and developed a tidal catalogue, later expanding into internal wave prediction in the Strait of Gibraltar. His expertise in mathematical morphology, fractal geometry, and time-series processing led him into advanced studies of altimetry and sea surface temperature evolution. He has applied these approaches to practical problems, such as eutrophication in Lake Maracaibo and Lake Izabal, and upwelling dynamics along the Iberian and Colombian coasts. His work is characterized by integrating theoretical modeling with real-world environmental challenges.

Top Publications Notes

  1. The Extremal Value Analysis of Sea Level in the Gulf of Cádiz and Alborán Sea: A New Methodology and the Resilience of Critical Infrastructures
    Published Year: 2025
    Citation: 4

  2. POSIT: An automated tool for detecting and characterizing diverse morphological features in raster data: application to pockmarks, mounds and craters
    Published Year: 2024
    Citation: 11

  3. A new insight on the upwelling along the Atlantic Iberian coasts and warm water outflow in the Gulf of Cádiz from multiscale ultrahigh resolution sea surface temperature imagery
    Published Year: 2024
    Citation: 9

  4. Why Are the High Frequency Structures of the Sea Surface Temperature in the Brazil-Malvinas Confluence Area Difficult to Predict? An Explanation Based on Multiscale Imagery and Fractal Geometry
    Published Year: 2023
    Citation: 15

  5. On the Prediction of Upwelling Events at the Colombian Caribbean Coasts from Modis-SST Imagery
    Published Year: 2019
    Citation: 23

Conclusion

Prof. Dr. Jose Juan Alonso del Rosario has built a career that merges academic rigor, innovative research, and educational leadership. As a professor, researcher, and mentor, he has cultivated new scientific insights while guiding future experts in naval and ocean engineering. His body of work reflects both scientific depth and practical application, particularly in addressing environmental and engineering challenges through physics-based models and remote sensing techniques. His legacy continues to expand through publications, projects, and international collaborations that place him at the forefront of applied physics and oceanographic research.

Rocsana Bucea-Manea-Țoniş | AI applied | Best Researcher Award

Dr. Rocsana Bucea-Manea-Țoniş | AI applied | Best Researcher Award

Professor | National University of Physical Education and Sport | Romania

Dr. Rocsana Bucea-Manea-Ţoniş is a multidisciplinary academic combining educational technology, sport sciences, marketing and innovation. She develops and teaches courses that merge digital pedagogy with sport and management, and she coordinates dissemination activities in several EU projects. Her work emphasizes practical digital transformation in higher education, circular economy models for sustainability and AI-enabled pedagogy. She has authored over a hundred scientific papers and books and participates actively on editorial boards and in international research consortia. Her profile blends teaching, project leadership and applied research aimed at improving institutional practices and community outreach.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Dr. Rocsana Bucea-Manea-Țoniş’s education spans health, economics and engineering management, providing a broad foundation for her interdisciplinary work. She trained as a physiotherapist and completed advanced studies in marketing and information systems at the Faculty of Commerce, later pursuing a master’s in financial accounting and banking information systems auditing. Her doctoral research in engineering and management of technological systems focused on SME support systems and digital tools. Complementary trainings include instructional design, AutoCAD, web-marketing and statistical analysis with IBM SPSS. This mix of clinical, managerial and technical education supports her applied research in digital learning, sustainability and innovation management.

Professional Experience

Dr. Rocsana Bucea-Manea-Țoniş is career combines academic teaching with practical roles in e-learning and web development. She has served as an associate professor in sport and physical education faculties, teaching marketing, management, research methodology and statistics, and she led distance-learning management and faculty training on VR/AR and e-learning platforms. Her responsibilities include webmaster and editor roles for academic journals, development of responsive websites and administration of PKP OJS/OCS platforms, plus participation as an expert in multiple national and EU projects. Earlier roles included banking marketing consultancy and hands-on experience as a swimming instructor, all of which shaped her student-centred, technology-enabled teaching approach.

Awards and Honors

Dr. Rocsana Bucea-Manea-Țoniş’s profile reflects recognition through competitive project roles, invitations to international short-term scientific missions, and participation in Erasmus teaching mobilities and Marie Skłodowska-Curie staff exchanges. She has been selected as dissemination manager or expert in several EU initiatives related to AI in education, sustainable development, and vocational training, and her editorial board memberships and journal contributions underscore peer recognition. Her awards and formal honors derive largely from successful competitive grants, project leadership appointments and institutional acknowledgements for contributions to digitalization and teacher professional development.

Research Focus

Her research centers on the intersection of digital transformation, AI-enabled pedagogy and sustainable development. She investigates how educational institutions adopt and scale AI tools, how social marketing and nudging affect consumer and student behavior, and how circular economy models can be embedded in regional innovation ecosystems. Methodologically she uses survey design, structural equation modeling and applied case studies to produce empirically grounded policy and practice recommendations. She also explores sport science topics that link mindfulness, yoga and athletic performance, emphasizing mental health and injury prevention within elite sport contexts.

Publication Top  Notes

  1. Title: Harnessing Artificial Intelligence in Sports Training: Evidence from Romanian Professionals Using SEM Analysis 
    Published Year: 2025
    Citation: 1

  2. Title: Blockchain in Sports: A Comparative Analysis of Applications and Perceptions in Football and Basketball 
    Published Year: 2025
    Citation: 1

  3. Title: Perceptions of Yoga among Romanian Athletes: a Mindfulness Therapy to Prevent PTSD and Enhance Performance 
    Published Year: 2024
    Citation: 1

  4. Title: Nudging Consumer Behavior with Social Marketing in Portugal: Can Perception Have an Influence over Trying Insect-Based Food? 
    Published Year: 2023
    Citation: 7

  5. Title: Untapped Aspects of Waste Management versus Green Deal Objectives 
    Published Year: 2022
    Citation: 5

Abdelaaziz El Ansari | Electronics | Best Researcher Award

Dr. Abdelaaziz El Ansari | Electronics | Best Researcher Award

Research Scientist | Sidi Mohamed Ben Abdellah University | Morocco

Dr. Abdelaaziz El Ansari is a Moroccan researcher and academic specializing in physics, electronics, and telecommunications. With a strong background in antenna design, signal processing, and advanced telecommunication systems, he has contributed significantly to research in terahertz spectrum applications, RFID technologies, and microwave devices. His academic and professional journey combines both teaching and research, allowing him to guide students and supervise projects across multiple scientific domains. He is actively involved in international collaborations, serves as a reviewer for reputed journals, and has been recognized for his contributions through publications, patents, and participation in prestigious conferences.

Publication Profile

Scopus

ORCID

Education Background

He pursued advanced studies in physics, electronics, computer science, and telecommunications, progressively achieving a strong academic foundation. His education journey includes qualifications in experimental sciences, physics and chemistry, electronics, microwave devices, and telecommunications. This multidisciplinary training enabled him to bridge theoretical concepts with practical applications in areas such as antenna systems, signal transmission, electromagnetic characterization, and digital communication technologies. His academic path reflects a consistent dedication to scientific exploration, with training not only in physical and engineering sciences but also in languages and pedagogy, ensuring a holistic and versatile professional profile.

Professional Experience

He has served as an educator and researcher, delivering lectures, tutorials, and laboratory supervision in electronics, antennas, electromagnetism, optics, and telecommunications. His professional experience spans across higher education institutions, where he has contributed to the academic development of engineering and science students. Alongside teaching, he has supervised internships, guided antenna design projects, and participated in research collaborations. He is actively engaged in reviewing scholarly works for international journals and conferences, as well as taking part in editorial responsibilities. His career demonstrates a blend of academic teaching, research innovation, and international collaboration within the scientific community.

Awards and Honors

He has earned recognition through his appointment as guest editor and reviewer for high-impact international journals. His active role in coordinating special issues highlights his leadership in research dissemination. In addition, his scientific contributions have been acknowledged with patents, conference invitations, and book chapter publications. These achievements underscore his commitment to advancing knowledge in electronics, telecommunications, and antenna technologies. His honors also extend to participation in global conferences, where he has shared innovative ideas and fostered collaborations with fellow scientists. His recognitions collectively reflect both the quality and impact of his scholarly contributions.

Research Focus

His research focuses on the design, development, and optimization of advanced antenna systems, including broadband, phased array, circularly polarized, and terahertz antennas. He explores cutting-edge materials such as graphene for high-frequency applications, addressing challenges in bandwidth, isolation, and performance. His interests extend to RFID technologies, microwave devices, optical encryption, and wireless communication systems. Alongside technical design, his work emphasizes simulation, modeling, and experimental validation. He also investigates educational methodologies in physics and ICT integration, reflecting his dual interest in technological innovation and pedagogical advancement. His interdisciplinary research contributes to emerging trends in wireless and telecommunication technologies.

Publications Top Notes

  1. A single-fed, left-handed circularly polarized array antenna with fractal graphene slots and SiO2 dielectric substrate for terahertz applications
    Published Year: 2025
    Citation: 1

  2. Recent Advances in Graphene-Based Terahertz Microstrip Antennas: A Technical Review of Substrate Choices and Emerging Challenges
    Published Year: 2025
    Citation: 1

  3. Conception and Realization of a Wideband Directional Dual-Beam Phased MIMO Array Antenna with Hybrid Coupler for ISM Band Utilizations
    Published Year: 2025
    Citation: 2

  4. Conception and Fabrication of a New Steerable Microstrip Antenna for ISM Band Applications
    Published Year: 2025
    Citation: 1

  5. A Circularly Polarized Graphene based Wideband 1×2 Array Antenna for Terahertz Spectrum Applications
    Published Year: 2024
    Citation: 3

Conclusion

Dr. Abdelaaziz El Ansari stands out as a dedicated researcher and educator who integrates academic teaching with high-level research in electronics and telecommunications. His work bridges theory and application, focusing on next-generation antenna technologies and wireless communication systems. Recognized through patents, publications, and editorial contributions, he continues to play an active role in shaping the future of telecommunication research. His holistic profile, combining education, professional experience, and research leadership, makes him a strong contributor to both academia and applied science. His career reflects a balance of innovation, knowledge dissemination, and dedication to scientific excellence.

Nora Baaalla | Material Sciences | Best Researcher Award

Dr. Nora Baaalla | Material Sciences | Best Researcher Award

Assistant professor | Foundation for Research, Development and Innovation in Science and Engineering | Morocco

Dr. Nora Baaalla is a Moroccan physicist whose work bridges materials theory and energy applications. She focuses on hybrid compounds, transition-metal oxides, and halide perovskites, translating first-principles insights into pathways for better optoelectronic and photovoltaic devices. Her career blends teaching, mentoring, and collaborative research across Moroccan and international laboratories. She contributes to curriculum design, supervises capstone projects, and participates in scientific events that connect academic advances with industry needs. With a background spanning modeling, thin-film studies, and device-relevant properties, she champions rigorous computation aligned with measurable outcomes, emphasizing reproducibility, open scientific discussion, and practical recommendations for sustainable technology adoption.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Her academic formation progresses from foundational physical sciences to advanced specialization in renewable energy, storage, and materials modeling. Along the way, she explored solar geometry, thermal systems, and the design of collective solar solutions, integrating geographic and temporal datasets into user-friendly decision tools. Later, she deepened expertise in density-functional methods, band alignment at heterointerfaces, and structure–property relationships in complex solids and hybrids. This pathway unified laboratory techniques, computational packages, and data analysis workflows into a coherent approach for evaluating materials under realistic operating conditions, preparing her to address challenges in efficiency, reliability, and scalability for solar and optoelectronic technologies.

Professional Experience

She teaches core physics to preparatory and undergraduate cohorts, covering electromagnetism, electrostatics, electronics, thermodynamics, optics, materials, and fabrication processes across lectures, tutorials, and laboratories. Beyond classroom duties, she designs syllabi, coordinates academic cycles, and guides students through hands-on projects such as solar tracking and voice-controlled home systems. Her university service includes reviewing manuscripts, organizing scientific meetings on green hydrogen, and participating in training related to high-performance computing, pedagogy, research methodology, entrepreneurship, and scientific publishing. She also brings practical energy-engineering experience from industry placements, translating standards, feasibility analyses, and performance metrics into actionable classroom and research practices.

Awards and Honors

Her recognition stems from sustained scholarly engagement and service to the physics and energy communities. She has been invited to evaluate submissions for an international optics and quantum electronics journal and to help organize a global event focused on hydrogen. Her development record includes competitive workshops and certifications in high-performance computing, scientific writing, university pedagogy, intellectual property, and management, reflecting commitment to continuous improvement. Participation in regional and international conferences demonstrates her visibility and leadership. These activities, alongside mentorship and curriculum contributions, underscore dedication to scientific quality, collaborative impact, and the advancement of sustainable energy research and education.

Research Focus

Her current agenda leverages first-principles calculations to optimize device-relevant properties in semiconductors and hybrids. She studies band alignment at heterojunctions, dielectric response, optical absorption, and transport descriptors tied to thermoelectric and photovoltaic performance. Model systems include double perovskites, polyoxometalate-based frameworks, and mixed chalcogenide oxides. By coupling theory with experimentally accessible metrics, she proposes materials screening criteria, interface engineering strategies, and defect-tolerant design rules. The broader aim is to translate atomistic understanding into guidance for film growth, processing windows, and stack architectures that raise efficiency, stabilize operation, and reduce environmental impact across solar energy and optoelectronic applications.

Publications — Top Notes

  1. Study of optical, electrical and photovoltaic properties of CH₃NH₃PbI₃ perovskite: ab initio calculations 
    Published Year: 2020
    Citation: 36

  2. Structure, optical and magnetic properties of a novel homometallic coordination polymers: Experimental and Computational studies 
    Published Year: 2020
    Citation: 28

  3. Electronic and optical properties of organic–inorganic (CuII/ReVII)-heterobimetallic L-Arginine complex: Experimental and Computational studies
    Published Year: 2021
    Citation: 16

  4. Synthesis of CuO thin films based on Taguchi design for solar absorber
    Published Year: 2021
    Citation: 45

  5. Insights into Ag₂Mo₃SeO₁₂ for photovoltaic and optoelectronic applications: A theoretical exploration of its structural, electronic, and thermoelectric behavior 
    Published Year: 2024
    Citation: 6

Conclusion

Dr. Nora Baaalla unites rigorous computation, practical energy engineering, and student-centered pedagogy. Her teaching spans foundational physics through specialized materials topics, while her research connects electronic structure to measurable device outcomes. Engagement with peer review, conference organization, and professional training reflects a service-oriented approach that strengthens community standards and collaboration. By focusing on interface physics, optical response, and transport, she contributes guidance for scaling sustainable technologies. Her trajectory demonstrates careful integration of methods, clarity in problem selection, and commitment to mentorship, positioning her to advance materials-enabled solutions for renewable energy, efficient electronics, and modern scientific education.