Umeshkumar KU | Bioinformatics | Best Researcher Award

Published-on by Indian Scientist

Dr. Umeshkumar KU | Bioinformatics | Best Researcher Award

Teerthanker Mahaveer university | India

Umeshkumar KU is an Innovation Architect, Registered Patent Agent, and Computational Biologist specializing in AI/ML-driven solutions for zoonotic threats and antimicrobial resistance. He has a robust academic foundation with advanced degrees in Biotechnology and Bioinformatics, complemented by a postgraduate diploma in Intellectual Property and postdoctoral training in Innovation and Technology Transfer. Umeshkumar has accumulated extensive professional experience across universities, startups, and research institutions, leading intellectual property portfolios, mentoring early-stage deeptech founders, and managing end-to-end patent filings and technology commercialization. His research interests focus on microbial genomics, pathogen risk prediction, antibiotic resistance mechanisms, zoonotic potential, and the development of computational pipelines and AI models for genomic analysis. He has authored multiple high-impact research papers and filed patents in biotechnology and life sciences, demonstrating a strong commitment to advancing scientific knowledge and translating research into practical applications. Umeshkumar’s contributions have been recognized with awards for innovative work and leadership in IP and biotechnology. Actively engaged in institutional innovation programs, workshops, and advisory roles, he drives the integration of research, technology transfer, and strategic intellectual property management, fostering a culture of innovation and excellence.

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Featured Publications


Descriptive genomic analysis of antibiotic resistance in Pasteurella multocida isolates from India

– Journal of Zoonotic Diseases, 9(2), 771–780 (2025) – Cited by 1 | DOI: 10.22034/jzd.2024.18654 :contentReference[oaicite:0]{index=0}


Genomic characterization of Pasteurellaceae strains: Resistance mechanisms, virulence factors, and HGT potential

– In Silico Research in Biomedicine, 1, 100015 (2025) – Cited by 1 | DOI not yet listed but indexed :contentReference[oaicite:1]{index=1}


Zoonoticus: A Machine Learning Model for Genomic Prediction of Zoonotic Bacterial Strains Using Virulence, Resistance, and Mobile Genetic Elements

– Computational Biology and Chemistry, 108760 (2025) – Cited: PubMed listing | DOI: 10.1016/j.compbiolchem.2025.108760 :contentReference[oaicite:2]{index=2}


META‑ANALYSIS OF MICROBIAL DIVERSITY IN YOUNG CATS USING T-BIOINFO SERVER

– Suranaree Journal of Science & Technology 31(6), 2024 – [DOI link requires journal confirmation] :contentReference[oaicite:3]{index=3}

Sounak Sarkar | Bacterial Genetics | Excellence in Scientific Research Award

Published-on by Indian Scientist

Dr. Sounak Sarkar | Bacterial Genetics | Excellence in Scientific Research Award

MATS University, Raipur, Chhattisgarh | India

Dr. Sounak Sarkar is an accomplished microbiologist and Assistant Professor in the Department of Science at MATS University, Raipur, with extensive experience in bacterial genetics, molecular evolution of microbes, pharmacological screening of therapeutic drugs, and biofertilizer applications in agriculture. He holds a Ph.D. in Microbiology from the University of Calcutta, with research conducted at ICMR-NICED, focusing on the dynamic phenotypic changes of Vibrio cholerae due to genetic alterations. He also earned an M.Sc. in Medical Biotechnology and a B.Sc. in Biotechnology, complementing his strong academic foundation. Dr. Sarkar’s professional experience includes roles as Project Associate and Associate Application Specialist at NIPER, Kolkata, and Molecular Biologist in clinical COVID-19 laboratories, alongside his research fellowships in microbiology and bacteriology. His research portfolio encompasses over ten publications in reputed journals and book chapters, with significant contributions in multidrug-resistant Vibrio cholerae, bioethanol production from agro-industrial waste, and antimicrobial studies. He holds an international patent for a bioethanol production system from tea waste. Dr. Sarkar has presented at numerous national and international conferences and has received the Best Academician Award. His work has garnered 57 citations with an h-index of 5, reflecting impactful scientific contributions. Dr. Sarkar continues to advance microbiology research and mentor Ph.D. students, fostering innovation in microbial sciences.

Profiles: Google Scholar | Scopus

Featured Publications

Samanta, P., Saha, R. N., Chowdhury, G., Naha, A., Sarkar, S., Dutta, S., & Mukhopadhyay, A. K. (2018). Dissemination of newly emerged polymyxin B sensitive Vibrio cholerae O1 containing Haitian-like genetic traits in different parts of India. Journal of Medical Microbiology, 67(9), 1326–1333. https://doi.org/10.1099/jmm.0.000783

Sarkar, S., Das, M., Bhowmick, T. S., Koley, H., Atterbury, R., Chakrabarti, A. K., & Sarkar, B. L. (2018). Isolation and characterization of novel broad host range bacteriophages of Vibrio cholerae O1 from Bengal. Journal of Global Infectious Diseases, 10(2), 84–88. https://doi.org/10.4103/jgid.jgid_37_17

Jaiswal, A., Sarkar, S., Das, P., Nandy, S., Koley, H., & Sarkar, B. (2015). Trends in the genomic epidemiology of Vibrio cholerae O1 isolated worldwide since 1961. International Journal of Antimicrobial Agents, 46(4), 460–464. https://doi.org/10.1016/j.ijantimicag.2015.06.012

Howlader, D. R., Bhaumik, U., Halder, P., Satpathy, A., Sarkar, S., Ghoshal, M., … Koley, H. (2022). An experimental adult zebrafish model for Shigella pathogenesis, transmission, and vaccine efficacy studies. Microbiology Spectrum, 10(3), e00347-22. https://doi.org/10.1128/spectrum.00347-22

De, R., Ramamurthy, T., Sarkar, B. L., Mukhopadhyay, A. K., Pazhani, G. P., Sarkar, S., Dutta, S., & Nair, G. B. (2017). Retrospective genomic analysis of Vibrio cholerae O1 El Tor strains from different places in India reveals the presence of ctxB-7 allele found in Haitian isolates. Epidemiology & Infection, 145(11), 2212–2220. https://doi.org/10.1017/S0950268817001182