Delphine Vandame | Link Prediction | Best Researcher Award

Ms. Delphine Vandame | Link Prediction | Best Researcher Award

Biocodex | France

Delphine Vandame, PhD, is an accomplished Global Medical Affairs leader with a strong scientific foundation in neuropharmacology and more than 15 years of progressive experience across the pharmaceutical and biotechnology sectors. Driven by a deep passion for science, resilience, and adaptability within the evolving healthcare environment, she currently serves as Global Medical Affairs Head at Biocodex, where she directs worldwide medical strategy for Diacomit in rare pediatric epilepsy, oversees a team of seven Medical Advisors, accelerates digital transformation through AI-driven insight and analytics, and strengthens strategic capabilities across international affiliates. Prior to this, she held key leadership roles at UCB Pharma, including Ecosystem Lead-where she designed and executed immunology strategies for Cimzia and Bimzelx, created a new dermatology business unit, and led a multifunctional medical–commercial team recognized with the 2019 Best MSL Team in EU award-and Medical Manager, guiding EU and French medical strategy across rheumatology and dermatology indications. Earlier roles include Medical Affairs Project Manager at Boehringer Ingelheim, Senior Project Manager at WPP supporting top global pharma organizations, Business Developer at Universal Biotech, Project Manager at CNRS, and Researcher at INSERM and the University of Texas, during which she secured grant funding, contributed to R&D programs, and presented internationally. Dr. Vandame holds a PhD in Neuropharmacology from the Pharmaceutical University of Montpellier, dual Master’s degrees in Biochemistry and Chemistry, and executive leadership training from HEC Paris and Krauthammer; recognized for her work ethic, strategic drive, and leadership excellence, she continues to thrive in fast-paced, cross-functional environments where innovation, scientific rigor, and patient-centric impact intersect.

Profiles: Scopus | Orcid

Featured Publications

"Comparative efficacy and safety of stiripentol, cannabidiol and fenfluramine as first-line add-on therapies for seizures in Dravet syndrome: A network meta-analysis", Delphine Vandame, Epilepsia, 2024.

Thiru Nirai Senthil | Computer Science | Best Academic Researcher Award

Dr. S. Thiru Nirai Senthil | Computer Science | Best Academic Researcher Award

Jawahar Science College | India

Author Profile

Google Scholar

Early Academic Pursuits

Dr. S. Thiru Nirai Senthil began his academic journey with a strong foundation in computer science and engineering, developing expertise that would later encompass diverse domains such as bioinformatics, artificial intelligence, network security, and data mining. His early exposure to both computational technologies and biological systems enabled him to adopt an interdisciplinary approach to research. Over the years, he built a rich portfolio of technical skills, contributing to areas from molecular modeling and protein analysis to large-scale network optimization and machine learning applications.

Professional Endeavors

With an extensive career in academia, Dr. Senthil has served in pivotal roles, including Head of the Department of Computer Science and Engineering at PRIST University, overseeing curriculum design, departmental administration, and faculty development. His professional experience extends to acting as Chief Superintendent and Additional Chief Superintendent for examination processes, member of various academic boards, and leader in event organization. He has consistently bridged the gap between theoretical research and practical application, guiding students, designing academic programs, and managing university-level technological systems such as ERP CAMU for admissions and data management.

Contributions and Research Focus

Dr. Senthil’s research spans multiple high-impact areas, notably artificial intelligence, machine learning, data mining, cloud computing, IoT, wireless sensor networks, bioinformatics, and cybersecurity. His contributions include the development of algorithms for optimized clustering, secure cloud storage auditing, intelligent e-learning systems, and AI-driven healthcare solutions. His interdisciplinary publications address both technological and societal challenges, such as AI-assisted medical devices, data-driven pandemic analysis, and sentiment analysis for social media monitoring. He has presented papers at prestigious national and international conferences, including ICICACS, ASCIS, ICRTSM, and the Asian Mycological Congress, demonstrating global engagement in research dissemination.

Impact and Influence

Dr. Senthil’s work has had a significant influence on both academic and applied technology communities. His AI-based patents in healthcare, autonomous navigation, and social media analytics showcase his commitment to impactful innovation. He has authored books on core computing subjects-Artificial Intelligence, Machine Learning, Data Mining and Warehousing, and Client-Server Computing-providing valuable academic resources for students and professionals alike. His leadership in faculty development programs, organization of technical workshops, and delivery of expert lectures has shaped the learning environment for countless students and educators.

Academic Citations and Recognition

His research publications have been widely cited, particularly in areas involving AI for agriculture, healthcare, and network optimization. Recognition of his scholarly contributions includes prestigious honors such as the Researcher Excellence Award (2025) and the Global Eminent Academician Award (2021), acknowledging both his research impact and his dedication to teaching excellence.

Legacy and Future Contributions

Dr. Senthil’s academic legacy lies in his ability to integrate multidisciplinary domains, creating solutions that address real-world problems while advancing theoretical frameworks. His role as a research guide and doctoral committee member ensures the training of future scholars, while his patents lay the groundwork for continued innovation. Moving forward, his work is poised to expand into emerging areas of generative AI, advanced machine learning models, and AI-driven biomedical devices, promising further contributions to science, technology, and society.

Conclusion

Dr. S. Thiru Nirai Senthil exemplifies the modern academician—innovative, interdisciplinary, and dedicated to the advancement of knowledge. His career reflects a rare combination of research excellence, pedagogical commitment, and visionary leadership. With an impressive record of publications, patents, and academic service, he continues to influence the trajectory of research in computer science and its allied fields, leaving a lasting mark on both academia and industry.

Notable Publications

"LCNFN: LeNet‐Cascade Neuro‐Fuzzy Network for Grape Leaf Disease Segmentation and Multi‐Classification

  • Author: G Selvaraj, SV Puthenkaleelkal, P Alaguchamy, STN Senthil
  • Journal: Journal of Phytopathology
  • Year: 2025

"COVID-19 Adaptive E-Learning: Data-Driven Student Engagement Analysis

  • Author: LL Rani, ST Senthil
  • Journal: International Conference on Integrated Circuits
  • Year: 2024

"Text Classification with Automatic Detection of COVID-19 Symptoms from Twitter Posts Using Natural Language Programming (NLP)

  • Author: N Manikandan, S Thirunirai Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

"Efficient College Students Higher Education Prediction Using Machine Learning Approaches

  • Author: L Lalli Rani, S Thirunirai Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

"Improved Genetic Algorithm Based k-means Cluster for Optimized Clustering

  • Author: FM Ilyas, ST Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023