Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

Published-on by Indian Scientist

Dr. Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

Ramakrishna Mission Vivekananda Educational and Research Institute, India

Dr. Syandan Sinha Ray is an accomplished scholar in agricultural biotechnology, with strong academic training in biotechnology and advanced research specialization. He serves as a teaching-cum-laboratory assistant, contributing to postgraduate education in areas such as molecular biology, genetic engineering, and bioinformatics. His research focuses on plant tissue culture, microbial applications, and sustainable agricultural innovations, supported by multiple publications and scholarly contributions. He has qualified a national-level eligibility test, reflecting his academic excellence. His work continues to advance scientific knowledge and practical applications in agricultural biotechnology.

Citation Metrics (Google Scholar)

250
200
100
20
0

Citations
205

h-index
6

i10index
4

Citations

h-index

i10-index

Featured Publications

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.

Citation Metrics (Scopus)

2.5
2
1.5
1
0

Citations
2

Documents
1

h-index
1

Citations

Documents

h-index


View Google Scholar Profile

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}

Supriyo Chakraborty | Biotechnology | Research Excellence Award

Published-on by Indian Scientist

Dr. Supriyo Chakraborty | Biotechnology | Research Excellence Award

Assam University | India

Dr. Supriyo Chakraborty is a distinguished Professor in the Department of Biotechnology at Assam University, Silchar, with over two decades of teaching and research experience. He holds an MSc and PhD in Plant Breeding & Genetics from Assam Agricultural University and Dibrugarh University, respectively, and completed his Postdoctoral research at NC State University, USA, focusing on QTL mapping in plants. Dr. Chakraborty has previously served as Dean of the School of Life Sciences and Head of the Department of Biotechnology at Assam University. His early career includes a tenure as Assistant Professor cum Scientist at Assam Agricultural University, Jorhat. Dr. Chakraborty’s research interests span molecular genetics, codon usage patterns, RNA editing, microRNA-mediated gene regulation, and computational genomics. He has authored 3 books, 2 book chapters, 16 software copyrights, and over 150 peer-reviewed research articles in high-impact journals covering plant genetics, viral genomics, cancer biology, and computational biology. His work on codon usage bias, mitochondrial gene analysis, and microRNA-based gene silencing has advanced both theoretical and applied molecular biology. A prolific innovator, Dr. Chakraborty holds multiple national and international software copyrights related to genetic and protein sequence analysis. He has attended numerous professional courses, refresher programs, and workshops sponsored by ICAR, UGC, and DBT, India. His contributions to science, mentoring of students, and leadership roles in academia underscore his commitment to advancing biotechnology research and education.

Profile: Google Scholar

Featured Publications

Malakar, A. K., Choudhury, D., Halder, B., Paul, P., Uddin, A., & Chakraborty, S. (2019). A review on coronary artery disease, its risk factors, and therapeutics. Journal of Cellular Physiology, 234(10), 16812–16823. https://doi.org/10.1002/jcp.28097

Paul, P., Chakraborty, A., Sarkar, D., Langthasa, M., Rahman, M., Bari, M., … Chakraborty, S. (2018). Interplay between miRNAs and human diseases. Journal of Cellular Physiology, 233(3), 2007–2018. https://doi.org/10.1002/jcp.25828

Khawbung, J. L., Nath, D., & Chakraborty, S. (2021). Drug resistant tuberculosis: A review. Comparative Immunology, Microbiology and Infectious Diseases, 74, 101574. https://doi.org/10.1016/j.cimid.2020.101574

Deb, B., Uddin, A., & Chakraborty, S. (2018). miRNAs and ovarian cancer: An overview. Journal of Cellular Physiology, 233(5), 3846–3854. https://doi.org/10.1002/jcp.26298

Barman, A., Deb, B., & Chakraborty, S. (2020). A glance at genome editing with CRISPR Cas9 technology. Current Genetics, 66, 447–462. https://doi.org/10.1007/s00294-019-01016-2

Satyamvada Maurya | Computational Biology | Best Researcher Award

Published-on by Indian Scientist

Mrs. Satyamvada Maurya | Computational Biology | Best Researcher Award

ICAR-National Bureau of Fish Genetic Resources | India

Dr. Satyamvada Maurya is a bioinformatics researcher with extensive experience in genomics, computational biology, and drug discovery. She holds a Ph.D. in Bioinformatics, focusing on the design and development of novel anti-tuberculosis agents through computational approaches. Her academic foundation includes a Master’s in Bioinformatics and a Bachelor’s in Biotechnology, which laid the groundwork for her multidisciplinary research. She has worked as a Project Assistant and Young Professional in premier Indian research institutes, contributing to projects in genome analysis, database development, SNP characterization, and functional genomics of aquatic organisms, particularly Clarias magur. Her research interests span next-generation sequencing, genome analysis, protein structure-function prediction, drug design, homology modeling, phylogenetic analysis, and database creation for biological resources. She has authored multiple research articles, book chapters, training manuals, and popular science articles, accumulating 27 citations with an h-index of 3 and i10-index of 1, reflecting the impact of her work. She has received awards including the TEQIP fellowship and best presentation accolades at national and international conferences. Dr. Maurya is committed to advancing bioinformatics applications in both healthcare and aquaculture, bridging computational tools with experimental biology to address complex biological challenges. Her work continues to contribute to the development of innovative solutions in genomics and drug discovery.

Profile: Google Scholar

Featured Publications

Verma, S., Maurya, R., & Maurya, S. (2016). Prediction of gene action and combining ability for yield and quality traits in F1 and F2 generations of wheat (Triticum aestivum L.). Tropical Plant Research, 3(2), 449–459.

Maurya, S., Jain, A., Singh, V., Haque, S., & Mishra, B. N. (2023). Evaluation of Saraca asoca for its anti-tubercular potential via molecular docking and molecular dynamics simulation studies. ChemistrySelect, 8(12), e202204899.

Maurya, S., Alhazmi, A., Vidyarthi, A. S., Jain, A., Singh, V., Khan, F., Haque, S., & Mishra, B. N. (2022). In-silico study reveals potential antitubercular drug targets unique to Mycobacterium tuberculosis H37Rv. Minerva Biotechnology & Biomolecular Research, 34(2), 71–79.

Maurya, S., Kumar, M. S., Kumar, R., & Kushwaha, B. (2024). Role of machine learning and artificial intelligence in transforming aquaculture and fisheries sector. Indian Farming, 74(8), 24–27.

Maurya, S., Jain, A., Rehman, M. T., Hakamy, A., Bantun, F., AlAjmi, M. F., Singh, V., … Mishra, B. N. (2023). In silico identification of novel derivatives of rifampicin targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin derivatives target VapC2 of Mtb H37Rv. Molecules, 28(4), 1652.

Krishna Pada Das | Biomathematics | Best Researcher Award

Published-on by Indian Scientist

Assoc. Prof. Dr. Krishna Pada Das | Biomathematics | Best Researcher Award

Mahadevananda Mahavidyalaya | India

Dr. Krishna Pada Das is an Associate Professor of Mathematics whose research primarily focuses on mathematical biology, especially population dynamics and eco-epidemiological systems. His work explores how infectious diseases interact with ecological food webs, including predator-prey and plankton systems, and how factors such as alternative food, nutrient levels, environmental toxins, diffusion, seasonal effects, and harvesting influence system stability or generate complex behaviors like chaos and oscillation. He employs mathematical modeling through differential equations (ODE, DDE, stochastic systems), fractional calculus, spatio-temporal dynamics, and computational simulation using MATLAB, MAPLE, and MATHEMATICA to analyze stability, bifurcation, and long-term behavior of biological systems. His research has contributed to understanding control strategies for harmful algal blooms, disease propagation in ecosystems, phytoplankton-zooplankton interactions, and tri-trophic food chain dynamics. In recent work, he has also examined epidemic models including COVID-19 and HIV transmission, applying sensitivity analysis, parameter estimation, and optimal control strategies. With an extensive list of research publications in international journals and collaborative studies, his contributions support improved ecological system management, disease control measures, and deeper theoretical insights into nonlinear biological dynamics.

Profile: Google Scholar

Featured Publications

Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing availability. Journal of Applied Microbiology, 102(1), 195–203.

Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio-frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317–322.

Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19–22.

Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.

Mr. Subhrangshu Das – Bioinformatics – Best Researcher Award 

Published-on by Indian Scientist

Mr. Subhrangshu Das - Bioinformatics - Best Researcher Award 

CSIR-Indian Institute of Chemical Biology - India

PROFESSIONAL PROFILES

SCOPUS

GOOGLE SCHOLAR

Early Academic Pursuits

Subhrangshu Das's academic journey began with a strong foundation in science during his Higher Secondary Examination at Agarpara Mahajati Vidyapith, West Bengal, where he excelled in subjects like Physics, Chemistry, Mathematics, and Statistics. He then pursued a Bachelor of Technology (B.Tech.) in Computer Science & Engineering from Narula Institute of Technology, graduating with first-class honors in 2012. His quest for knowledge led him to Jadavpur University, where he earned a Master of Engineering (M.E.) in Computer Science & Engineering in 2014, also with first-class honors. His academic pursuits culminated in submitting his Ph.D. thesis in Structural Biology and Bioinformatics at the University of Calcutta in 2022, showcasing his interdisciplinary approach to combining computer science with biological research.

Professional Endeavors

Subhrangshu Das's professional career is marked by significant roles at the CSIR-Indian Institute of Chemical Biology. He began as a Junior Research Fellow in August 2022, progressing to a Senior Research Fellow by November 2015. His dedication and expertise earned him the position of Research Associate in August 2022. Throughout these roles, he has been involved in critical research projects that bridge computer science and bioinformatics, demonstrating his ability to apply computational techniques to biological problems.

Contributions and Research Focus On Bioinformatics

Subhrangshu Das has made substantial contributions to the fields of structural biology and bioinformatics. His research primarily focuses on image processing, machine learning, and data science, applied to medical and biological problems. Notable projects include developing an algorithm for detecting Alzheimer's disease from brain MRI using image processing and machine learning techniques, and quantifying and categorizing strokes from brain CT scan images. His work on the classification and prediction of protein-protein interaction interfaces using machine learning algorithms has been published in reputable journals, Bioinformatics highlighting his innovative approach to computational biology.

Accolades and Recognition

Throughout his career, Subhrangshu Das has received numerous accolades and recognition for his academic and research excellence. He qualified for the GATE examination twice, in 2011 and 2012, and achieved a commendable All India Rank. He also qualified for the CSIR NET in December 2014, securing an impressive rank of 92. His achievements have been further recognized through scholarships from UGC and CSIR, Bioinformatics supporting his studies and research endeavors. These accolades underscore his commitment to academic excellence and research innovation.

Impact and Influence

Subhrangshu Das's work has had a significant impact on both the academic and research communities. His contributions to Alzheimer's disease detection and stroke quantification have the potential to influence medical diagnostics and patient care. His mentorship and collaboration with peers and students have helped foster a new generation of researchers in the fields of computer science and bioinformatics. His published works and conference presentations have disseminated his research findings to a broader audience, Bioinformatics influencing ongoing studies and sparking new research ideas.

Legacy and Future Contributions

Looking ahead, Subhrangshu Das's legacy in interdisciplinary research is poised to inspire future innovations in bioinformatics and structural biology. His ongoing projects, such as the development of web servers for Alzheimer's disease detection and protein complex prediction, demonstrate his commitment to advancing scientific knowledge and practical applications. As he continues to explore new frontiers in research, Bioinformatics his contributions are expected to have a lasting impact on the scientific community, paving the way for future discoveries and technological advancements.

NOTABLE PUBLICATIONS