Nitin Goyal | Computer Science | Research Excellence Award

Nitin Goyal | Computer Science | Research Excellence Award

Central University of Haryana | India

Dr. Nitin Goyal is a faculty member in the Department of Computer Science and Engineering at the Central University of Haryana, India, and holds a PhD in Computer Engineering from NIT Kurukshetra. His expertise lies in underwater wireless sensor networks (UWSN) with applications in military operations, along with research interests in machine learning, deep learning, IoT, and wireless sensor networks. With over 16 years of academic and teaching experience, he has published around 175 research works across SCI, SCOPUS, conference proceedings, and book chapters, filed nearly 30 patents, and edited multiple books with leading international publishers. He has successfully guided postgraduate and doctoral researchers, led an AICTE-funded project, delivered numerous expert and keynote lectures, chaired sessions at reputed international conferences, and actively contributes to the academic community as a Senior Member of IEEE, lifetime member of IAENG, guest editor, reviewer, and editorial board member of several high-impact journals.

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Shiping Wang | Computer Science | Research Excellence Award

Shiping Wang | Computer Science | Research Excellence Award

Fuzhou University | China

Prof. Shiping Wang is a Full Professor in the field of computer and data science and serves as the Director of a provincial key laboratory focused on intelligent metro systems. His research centers on machine learning, deep learning, graph neural networks, feature representation, and graph foundation models. He has published over 200 papers in leading journals and conferences, accumulating more than 6,200 citations, and his work appears in top venues such as IEEE TPAMI, TIP, TMM, CVPR, AAAI, and ACM MM. He has held key leadership and organizational roles in international conferences, including general chair, regional chair, and session chair positions, and regularly serves as a program committee member and reviewer for major AI and computer vision conferences and journals. His research has been supported by multiple projects funded by the National Natural Science Foundation of China.

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Fabrice Vidal | Computer Science | Research Excellence Award

Fabrice Vidal | Computer Science | Research Excellence Award

Hospital center|France

Dr. Fabrice Vidal is a hospital pharmacist with extensive experience in hospital pharmacy management, medication safety, and healthcare quality systems. Since 2014, he has served as a Hospital Practitioner and Head of the Pharmacy for Internal Use at the Centre Hospitalier de Dax, where he plays a central role in ensuring the safe, efficient, and compliant use of medicines and medical devices. His responsibilities include the management of medical devices, oversight of pharmaceutical logistics, and active participation in the quality management of medication use and the overall medication care pathway. He has contributed significantly to the modernization of hospital pharmacy operations through involvement in the implementation of a Warehouse Management System and the development and deployment of computerized prescribing decision-support software. His expertise also extends to the validation of chemotherapy prescriptions, ensuring adherence to clinical protocols and patient safety standards. In addition, he has participated in pharmaceutical on-call duties related to medication safety and emergency preparedness. Prior to his permanent appointment, he worked as a full-time contractual Hospital Practitioner at the same institution, gaining strong operational experience within the Pharmacy for Internal Use.


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Anargul Nekessova | Computer Science | Best Researcher Award

Anargul Nekessova | Computer Science | Best Researcher Award

LN Gumilyov Eurasian National University | Kazakhstan

Anargul A. Nekessova is a Master of Technical Sciences and PhD student specializing in information and computer technologies, with an academic career spanning over a decade in teaching, research, and innovation. She has held senior lecturer positions at leading Kazakh universities, including L.N. Gumilyov Eurasian National University and Esil University, where she taught a wide range of subjects such as web technologies, operations research, computer modeling, and information security. Her research interests cover diverse areas, including artificial intelligence, mathematical cybernetics, systems analysis, and the reliability and security of information systems. In addition to teaching, she has contributed to applied projects in mobile and web application development, e-learning systems, and automated testing platforms. Anargul has actively participated in national and international scientific conferences, presenting research on algorithm visualization, data mining, AI modeling, and the use of deep learning for agriculture and healthcare. Her publications demonstrate her commitment to applying computational methods to real-world problems in science, education, and industry. With extensive professional experience as a specialist, coordinator, and senior lecturer, she continues to advance research in emerging technologies while mentoring future specialists. Her academic and professional contributions highlight her role in strengthening Kazakhstan’s scientific and technological development.

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Education

Anargul Nekessova began her higher education journey at L.N. Gumilyov Eurasian National University, where she studied Informatics at the Faculty of Mathematics and Information Technologies, earning her Bachelor’s Degree in Informatics. During this foundational stage, she developed strong analytical skills in programming, computer systems, and applied mathematics, forming the basis for her future research pursuits. She then pursued graduate studies at the Kazakh University of Economics, Finance and International Trade, within the Faculty of Accounting and Finance, Department of Informatics and Applied Economics, where she earned a Master’s Degree in Information Systems. Her master’s program enabled her to integrate technical knowledge with practical applications in economics, business informatics, and information systems design. Currently, she is engaged in doctoral research as a PhD student, expanding her expertise in artificial intelligence, computer modeling, and information system security. Through her advanced studies, she has deepened her knowledge in mathematical cybernetics, systems analysis, and AI applications in critical fields such as agriculture and healthcare. Her strong academic foundation, gained from prestigious Kazakh institutions, has been reinforced through consistent research activities and teaching responsibilities. This educational trajectory has prepared her to combine theory with applied solutions in the field of information and computer technologies.

Experience

Anargul Nekessova has accumulated extensive professional and teaching experience across Kazakhstan’s leading universities. She began her career as a Lecturer at the Financial Academy, where she introduced students to informatics and applied computing. Between, she worked at the Kazakh University of Economics, Finance, and International Trade in various roles, including Coordinator-Specialist at the Dean’s Office of Distance and E-Learning, Specialist in the Technical Support Department, and Leading Specialist at the Center for Distance Learning. These positions allowed her to contribute to the development of e-learning infrastructure and distance education systems. She joined L.N. Gumilyov Eurasian National University, serving as a Senior Lecturer in the Department of Information Systems until, teaching core courses on web technologies, coding theory, operations research, and computer modeling. She later returned in the same role. she has been affiliated with Esil University, Faculty of Applied Sciences, Department of Information Systems and Technologies, also as a Senior Lecturer. Through her dual focus on teaching and applied research, she has made significant contributions to the academic training of future specialists while advancing innovative projects in computer technologies.

Honors and Awards

While no formal awards or honorary titles are explicitly listed in the record, Anargul Nekessova’s career demonstrates recognition through her consistent academic appointments, research contributions, and active participation in national and international conferences. Her early contributions to scientific forums, such as the Scientific and Practical Conferences of Young Scientists, highlighted her innovative work in visualization of sorting algorithms and artificial intelligence problem-solving methods. She later received opportunities to present at prominent conferences like the International Conference “E-Learning” and the International Journal of Electrical and Computer Engineering, which reflect professional recognition of her research outputs. Her published works in the Bulletin of the National Academy of Sciences of Kazakhstan further demonstrate her integration into Kazakhstan’s leading academic platforms. The fact that she has been repeatedly invited to hold senior lecturer positions at L.N. Gumilyov Eurasian National University and Esil University testifies to her academic credibility and recognition by peers. Additionally, her research on AI applications in agriculture and medicine represents significant contributions to applied science, reflecting both professional and scholarly acknowledgment. Collectively, these achievements illustrate her growing influence in the fields of informatics, artificial intelligence, and applied computer science, serving as an indicator of her professional recognition.

Research Focus

Anargul Nekessova’s research focuses on the intersection of information technologies, artificial intelligence, and applied computer modeling. Her primary interest lies in the reliability and security of information and computer systems, reflecting the growing importance of cybersecurity in modern digital infrastructure. She has explored mathematical cybernetics and systems analysis as theoretical foundations, while applying computational approaches to diverse practical fields. Her work on artificial intelligence includes developing models and methods for solution searches, automated testing systems, and intelligent communication technologies. In recent years, she has directed her research toward deep learning algorithms and data mining applications, particularly in agriculture and healthcare. Examples include her publications on detecting crop diseases, identifying weed hotspots in wheat fields, and analyzing pathological lung conditions using fractal methods. These studies demonstrate her ability to integrate advanced AI with pressing societal challenges such as food security and medical diagnostics. She also investigates computer modeling and algorithm visualization, aiming to enhance both education and scientific problem-solving. Her holistic research strategy blends theoretical, methodological, and applied aspects, making significant contributions to Kazakhstan’s scientific community. Through her interdisciplinary approach, she continues to push the boundaries of computer science applications in real-world problem-solving.

Publications

  • Dynamic Visualization of Sorting Algorithms

  • Model and Methods for Solution Search in Artificial Intelligence

  • Creating an Automated Testing System for Programming Knowledge

  • Remote Device for Network Management of Computer Programs

  • Intellectual ICTs as a Tool for Implementing the Third Industrial Revolution within the Kazakhstan Strategy

  • Analysis of the Current State of Innovative Development in the Regions of Kazakhstan

    Conclusion

    Anargul A. Nekessova exemplifies the integration of rigorous academic training, extensive teaching experience, and impactful research in the field of information and computer technologies. With a strong educational foundation, she has developed expertise across diverse areas, including artificial intelligence, cybersecurity, computer modeling, and data-driven applications in agriculture and healthcare. Her professional career, marked by senior lecturer roles at leading Kazakh universities, demonstrates her dedication to advancing education and mentoring future specialists in computer science. Through her active participation in conferences, scholarly publications, and applied research projects, she has contributed significantly to the development of innovative technological solutions addressing real-world challenges. Her work reflects both theoretical depth and practical application, making her a valuable contributor to Kazakhstan’s scientific and academic landscape. As she continues her doctoral research, Anargul remains committed to pushing the boundaries of artificial intelligence and information systems, with the vision of fostering technological advancement, strengthening security and reliability of digital infrastructures, and promoting interdisciplinary innovation in science and education.