Dr. Kavita Thakur is an experienced academic professional, administrator, and researcher in Computer Science and Information Technology, with extensive experience in higher education, academic leadership, teaching, and research. She currently serves as Associate Professor & Principal at Sainik Institute of Management & Technology, Mohali, a position she has held since September 2024. Prior to this, she served as Assistant Professor & Principal at the same institution from May 2018 to September 2024.

Her earlier academic appointments include Assistant Professor positions at Rattan Group of Colleges, IITT Engineering College, and Aryans Group of Colleges, along with experience as a Computer Lecturer at GGSVM, New Chandigarh. She also gained industry exposure through her work with the US-based MNC Beta Soft System Pvt. Ltd., where she worked with Microsoft technologies including ASP.NET, C#.NET, and ADO.NET.

Research & Publications

Dr. Thakur's research primarily focuses on the application of Artificial Intelligence, Deep Learning, Computer Vision, and Ensemble Learning to infectious disease prediction, diagnosis, prognosis, and surveillance.

She has contributed five research papers in national and international journals/conferences. Her publications have appeared in venues indexed by IEEE, Scopus, SCIE, UGC CARE, and ESCI, demonstrating engagement with recognized scholarly platforms.

Her notable research areas include:

• Artificial intelligence for infectious disease prediction
• Deep learning-based disease prognosis
• Automated infectious disease diagnosis
• Advanced CNN models for disease detection
• Multi-classification of communicable diseases
• Ensemble learning for disease surveillance

Significant Research Contributions

Among her notable works is a comprehensive analysis of deep learning approaches for infectious disease prediction and prognosis, published in Archives of Computational Methods in Engineering, a SCIE-indexed journal listed as Q1 with a reported impact factor of 9.7 in the provided profile.

Her research further explores automated systems capable of identifying and classifying multiple infectious diseases using advanced CNN and ensemble-learning techniques, contributing to the broader application of AI in healthcare and disease surveillance.

Conferences & Academic Engagement

Dr. Kavita Thakur has actively participated in international academic conferences and presented research papers at prominent scientific forums. Her academic engagements include presentations at the International Conference on Technological Advancements in Computational Sciences (ICTACS 2022) and the International Conference on Data Science and Applications (ICDSA 2023).

She has also participated in Faculty Development Programmes and a NAAC-sponsored national seminar addressing quality enhancement in academics, teaching, evaluation, and the implementation of NEP 2020.

Academic Leadership & Administration

In addition to her research and teaching responsibilities, Dr. Thakur has demonstrated significant academic leadership and institutional administration through her roles as Principal. Her career reflects a combination of classroom teaching, curriculum-oriented academic responsibilities, faculty coordination, institutional development, and research supervision.

Her progression from Assistant Professor to Associate Professor & Principal reflects sustained professional growth and leadership within the higher-education sector.

Research Impact & Future Potential

Dr. Thakur's research demonstrates an interdisciplinary integration of computer science and artificial intelligence with healthcare applications. Her work on automated infectious disease prediction, diagnosis, prognosis, and surveillance has potential relevance to intelligent healthcare systems and data-driven public-health decision-making.

Her continued involvement in research, international conferences, academic administration, and emerging AI technologies positions her as an active contributor to technology-enabled healthcare research.

Eligibility for Best Researcher Award 

Dr. Kavita Thakur is eligible for the Best Researcher Award in Scientific Laurels based on her sustained contributions to Artificial Intelligence, Deep Learning, and intelligent healthcare applications. Her candidature is supported by her five research publications, publications in Scopus/SCIE/ESCI and UGC CARE-indexed venues, Q1-level journal contribution, international conference presentations, and research focused on automated infectious disease prediction, diagnosis, prognosis, and surveillance.

Her ability to combine academic leadership, teaching experience, technological expertise, and interdisciplinary AI research demonstrates a strong research profile. These accomplishments make her a suitable candidate for recognition under the Best Researcher Award category in Scientific Laurels.