Subrata Sinha| Bioinformatics| Editorial Board Member

Published on by Global Scholar Awards

Assist Prof Dr. Subrata Sinha| Bioinformatics| Editorial Board Member

Assistant Professor | Dibrugarh University | India

Dr. Subrata Sinha is a distinguished researcher and academic affiliated with Brainware University, Kolkata, India, specializing in computational biology, bioinformatics, and machine learning applications in biomedical research. His expertise spans the development and application of advanced computational models, including convolutional neural networks for brain tumor classification, in silico pharmacophore modeling, and network pharmacology analyses for therapeutic discovery. Dr. Sinha has contributed significantly to bridging computational techniques with practical biomedical applications, demonstrating a strong commitment to translational research that benefits both scientific advancement and societal health outcomes. Over his career, he has published extensively in peer-reviewed journals, fostering collaborations with a wide network of international co-authors and research groups. His work emphasizes precision medicine, predictive modeling, and integrative approaches that combine molecular insights with computational strategies to address complex biomedical challenges. Dr. Sinha’s research not only advances academic understanding but also holds potential for real-world applications in diagnostics, drug discovery, and healthcare technology development. His contributions are recognized for their methodological rigor, innovative approach, and relevance to pressing global health issues. Dr. Sinha’s academic influence and research productivity are reflected in his metrics: 78 citations, 36 documents, and an h-index of 4.

Profiles: Scopus | ORCID

Featured Publications

Akermi, S., Chaari, M., Elhadef, K., Sharma, A., Dey, A., Choudhary, A., Sinha, S., Festuccia, R., Mellouli, L., & Smaoui, S. (2025). Bioactive compounds and cancer prevention: A nutritional approach. In Unleashing the Power of Functional Foods and Novel Bioactives (pp. xx–xx). Elsevier.

Sinha, S., Mali, S., Pathak, A. K., & Rajkhowa, S. (2025). BRAIN-SCN-PRO: A machine learning model for the classification of brain tumors using a convolutional neural network architecture. Biomedical Signal Processing and Control.

Akermi, S., Sharma, A., Dey, A., Chaari, M., Elhadef, K., Choudhary, A., Sinha, S., Mellouli, L., & Smaoui, S. (2025). Functional foods and aging and antiaging: A recipe for longevity. In Unleashing the Power of Functional Foods and Novel Bioactives (pp. xx–xx). Elsevier.

Sinha, S., Mali, S., & Rajkhowa, S. (2025). High-precision lung cancer classification with custom CNN: Evaluation and transfer learning for broader cancer types. Procedia Computer Science.

Mali, S., & Sinha, S. (2025). Histopathological image processing for lung carcinoma classification: A comparative study of stain normalization methods for CNN-based analysis. In 6th IEEE International Conference on Recent Advances in Information Technology (RAIT 2025) (pp. xx–xx). IEEE.

Shishir K Gupta | Bioinformatics | Best Researcher Award

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Dr. Shishir K Gupta | Bioinformatics | Best Researcher Award

Assistant Professor | Centre of BioMedical Research | India

Dr. Shishir Kumar Gupta is an Assistant Professor in the Department of Data Sciences at the Centre of BioMedical Research (CBMR), SGPGIMS Campus, Lucknow, India. He earned his Ph.D. in Bioinformatics from the Julius-Maximilians-Universität Würzburg, Germany (2016), focusing on genome re-annotation and immune transcriptome analysis in insects. His research expertise spans Network Science, Bioinformatics, Multi-omics Data Integration, Big Data Analytics, and Machine Learning, with applications in computational modeling of biological systems, understanding disease mechanisms, and developing therapeutic strategies. Dr. Gupta has extensive postdoctoral experience from renowned German institutions, including the University of Würzburg, Heinrich Heine University Düsseldorf (CEPLAS), and University Hospital Erlangen, where he led interdisciplinary projects in systems biology, genomics, and computational immunology. He has authored over 45 peer-reviewed publications and book chapters in high-impact journals such as Frontiers in Immunology, International Journal of Molecular Sciences, and Computational and Structural Biotechnology Journal, and serves as a reviewer for leading journals including Nature Scientific Reports, BMC Bioinformatics, and PLOS Computational Biology. His supervision of graduate students and teaching roles in bioinformatics, genomics, and systems biology at both Indian and European institutions reflect his commitment to academic excellence. Through international collaborations and data-driven research, Dr. Gupta aims to advance precision medicine, network-based drug discovery, and the integration of computational and experimental approaches to address global challenges in infectious diseases, cancer biology, and immunology, thereby contributing to improved healthcare and scientific innovation.

Profiles:  Google Scholar | Scopus | ORCID 

Featured Publications

Kupper, M., Gupta, S. K., Feldhaar, H., & Gross, R. (2014). Versatile roles of the chaperonin GroEL in microorganism–insect interactions. FEMS Microbiology Letters, 353(1), 1–10.

Kaltdorf, M., Srivastava, M., Gupta, S. K., Liang, C., Binder, J., Dietl, A. M., Meir, Z., Haas, H., Osherov, N., & Krappmann, S. (2016). Systematic identification of anti-fungal drug targets by a metabolic network approach. Frontiers in Molecular Biosciences, 3, 22.

Gupta, S. K., Kupper, M., Ratzka, C., Feldhaar, H., Vilcinskas, A., Gross, R., & Förster, F. (2015). Scrutinizing the immune defence inventory of Camponotus floridanus applying total transcriptome sequencing. BMC Genomics, 16(1), 1–21.

Srivastava, M., Gupta, S. K., Abhilash, P. C., & Singh, N. (2012). Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches. Journal of Molecular Modeling, 1–9.

Akhoon, B. A., Singh, K. P., Varshney, M., Gupta, S. K., Shukla, Y., & Gupta, S. K. (2014). Understanding the mechanism of atovaquone drug resistance in Plasmodium falciparum cytochrome b mutation Y268S using computational methods. PLoS ONE, 9(10), e110041.

Dr. Shishir Kumar Gupta’s research integrates computational modeling, network science, and multi-omics data analysis to uncover molecular mechanisms of diseases and identify novel therapeutic strategies. His work advances precision medicine and drug discovery, bridging bioinformatics innovation with real-world biomedical and societal impact through data-driven solutions for global health challenges.