Journal of Artificial Intelligence and Digital Health

Dr. Ravi Kant is an Assistant Professor in the Faculty of Applied Sciences & Biotechnology, Shoolini University, Himachal Pradesh-India. An accomplished Computational Biologist with Post-Doctoral Research Experience from the Faculty of Medicine at the University of Southampton, England, Dr. Ravi brings extensive research experience from Southampton as well as from his worldwide research collaborations spanning across the UK, United States of America, Brazil, Malaysia, Japan, Canada, Germany, Costa Rica, The African Continent, and several academic & research institutes of repute in India such as the University of Delhi, Central University of Jammu, IGDTUW Delhi, and the All India Institute of Medical Sciences (AIIMS) Delhi. Dr. Ravi Kant earned his PhD and MPhil degree from University of Delhi and Master’s degree from Haryana Agriculture University, Hisar.

His research expertise lies in drug and vaccine discovery, computational biology, and translational research, with a focus on homology modeling, molecular docking, pharmacophore generation, molecular dynamics simulations, and AI-driven approaches to accelerate therapeutics and vaccine development. He has made significant contributions in addressing antimicrobial resistance and infectious diseases, particularly sexually transmitted infections (STIs) and multidrug-resistant pathogens, while fostering academia–industry collaborations worldwide.

Dr. Kant’s outstanding contributions have been recognized with several prestigious awards, including the Bill & Melinda Gates Foundation Fellowship/Travel Grant (10 times), the 13th Norman L. Letvin Early Career Investigator Grant (Gates Foundation), the NIHR Southampton Biomedical Research Centre Career Development Award (UK), multiple Young Investigator and Young Scientist Awards, and the BBSRC-UKRI International Partnership Funding (UK Government). He has also successfully engaged with competitive research grants from Indian funding agencies such as ICMR, and international agencies including NIHR and BBSRC-UKRI (this funding was granted to and won by Prof. Myron Christodoulides at the University of Southampton, where Dr. Ravi worked as a visiting researcher in Prof. Myron’s lab for three months). His most recent success story includes the highly competitive grant funding won by his Brazilian collaborators to develop a novel vaccine for Leishmania – a neglected tropical disease. This project is funded by a research network led by The University of Oxford, England, where Prof. Myron Christodoulides (University of Southampton, UK) and Dr. Ravi Kant (Shoolini University, India) are serving as International Collaborators based on their expertise.

At Shoolini University, Dr. Kant is committed to mentoring Master’s and PhD students and researchers, advancing cutting-edge projects in the research areas of STIs & Women’s Health, Infectious Diseases, and Antimicrobial Resistance (AMR), and building strong international partnerships to establish Shoolini as a hub for excellence in biotechnology and vaccine discovery & development.

• Infectious Disease Biology
• Epidemiology
• Biomedical Research
• Drug Designing
• Bioinformatics & Computational Biology
• Artificial Intelligence & Machine Learning
• Reverse Vaccinology based immuno-informatics identification & characterization of novel vaccine

1. International collaborator on vaccine development projects funded by University of Oxford (VALIDATE Network) and Ceva Santé Animale.
2. Delivered invited talks at international institutions including University of Southampton (UK), Oregon State University (USA), and NIT Jalandhar (India).
3. Member of NgORS, VALIDATE Network, BSAC, IVVN, ISID, BactiVac Network, and others.
4. Reviewer and participant in conferences across USA, UK, Canada, Germany, Korea, South Africa, Italy, Brazil, etc.
5. Organized and participated in national and international conferences, workshops, and research events.

1. Taneja, J.; Kant, R.; Saluja, D. Integrating Reverse Vaccinology with Immunoinformatics for Rational Vaccine Target Discovery in Mycoplasma genitalium. Venereology 2025,4,14. https://doi.org/ 10.3390/venereology4030014
2. Ghosh Joyeta ,Taneja Jyoti, Kant Ravi: Nutritional and lifestyle predictors of rectal bleeding in functional constipation: A machine learning approach. Int J Med Inform.2025 May 8; 201:105963. doi: 10.1016/j.ijmedinf.2025.105963. Epub ahead of print. PMID: 40347602. (IF:3.8)
3. Taneja Jyoti, Ghosh Joyeta, Kant Ravi, Christodoulides Myron: Artificial Intelligence in Predicting, Diagnosing and Preventing Sexually Transmitted Infections (STIs). Venereology 2025, 4, 5. https://doi.org/10.3390/venereology 4020005
4. Ravi Kant, Megha Prajapati, Pradip Das, Antonios G. Kanaras, Daman Saluja, Myron Christodoulides and Chhaya Ravi Kant. Computational and Experimental Study of Metal-Organic Frameworks (MOFs) as Antimicrobial Agents against Neisseria gonorrhoeae. ACS Applied Materials & Interfaces (2025). https://doi.org/10.1021/acsami.4c15851 (IF:8.8)
5. Sunita K. Yadav, Priya Bhardwaj, Ravi Kant, Joyeta Ghosh, Anita Garg Mangla, Sumathi Muralidhar, Daman Saluja, Rita Singh, Aleksandra E. Sikora, Jyoti Taneja (2025): Prevalence, Risk Factors, Hesitancy, and Attitudes Toward Vaccination Against Reproductive Tract Infections Among Women in an Urban Setting: A Cross-Sectional Survey Study, medRxiv 2025.02.13.25322217; doi: https://doi.org/10.1101/2025.02.13.25322217
6. Abiuzi, M.B., de Andrade, B.A., Ramos, F.F., Totini, C.H., Christodoulides, M., Kant, R., Lago, J.H.G. and Tempone, A.G. (2025), The Marine Microbial Alkaloid (R)-Salsolinol is Effective Against Trypanosoma cruzi. Chem. Biodiversity e202403109. https://doi.org/10.1002/cbdv.202403109 (IF:2.3)
7. Kant, R., Tilford, H., Freitas, C.S. et al. Antimicrobial activity of compounds identified by artificial intelligence discovery engine targeting enzymes involved in Neisseria gonorrhoeae peptidoglycan metabolism. Biol Res 57, 62 (2024). https://doi.org/10.1186/s40659-024-00543-9 (IF:6.6)
8. Ravi Kant, Naveen Kumar, Yashpal Singh Malik, Dean Everett, Daman Saluja, Thomas Launey, Rahul Kaushik (2024): Critical Insights from Recent Outbreaks of Mycoplasma pneumoniae: Decoding the Challenges and Effective Interventions Strategies, International Journal of Infectious Diseases, 107200, ISSN 1201-9712, https://doi.org/10.1016/j.ijid.2024.107200. (IF:4.8)
9. Ravi Kant, Mohd Shoaib Khan, Madhu Chopra, Daman Saluja (2024): Artificial Intelligence-Driven Reverse Vaccinology for Neisseria gonorrhoeae vaccine: Prioritizing Epitope-Based Candidates. Front. Mol. Biosci. - Molecular Diagnostics and Therapeutics DOI: 10.3389/fmolb.2024.1442158 (IF:4.0)
10. Deepika Tripathi, Arushi Kapoor, Bulbul, Pankaj, Ravi Kant, Daman Saluja, Meenakshi Sharma (2024): Functional annotation of Candida albicans hypothetical proteins: a bioinformatics approach. Archives of Microbiology . https://doi.org/10.1007/s00203-024-03840-9 (IF:2.3)
11. Bhowmik R, Kant R, Manaithiya A, Saluja D, Vyas B, Nath R, Qureshi KA, Parkkila S and Aspatwar A (2024): Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study. Front. Pharmacol. 14:1340724. doi: 10.3389/fphar.2023.1340724 (IF:4.4)
12. Ravi Kant, Rahul Kaushik, Madhu Chopra & Daman Saluja (2024) Structure-based drug discovery to identify SARS-CoV2 spike protein–ACE2 interaction inhibitors, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2023.2300060 (IF:5.26 )