Dr. Saswati Mahapatra | Bioinformatics | Best Researcher Award
Siksha O Anusandhan Deemed to be University, India
Author Profile
🎓 EARLY ACADEMIC PURSUITS
Dr. Saswati Mahapatra began her academic journey with a B.Sc. in Computer Science from Sambalpur University (2002), followed by an M.Sc. in Computer Science from Utkal University (2004). Her inclination toward applied computing in life sciences led her to pursue an M.Tech in CSDP at Siksha ‘O’ Anusandhan Deemed to be University (2011), where she first explored machine learning-based protein-protein interaction predictions. She earned her Ph.D. in Computer Science and Engineering in 2022, specializing in gene selection and hub-gene identification using multiomics data—a cutting-edge interdisciplinary area.
🏢 PROFESSIONAL ENDEAVORS
Dr. Mahapatra has been associated with the Department of Computer Application at ITER, SOA University, since 2006, advancing from Lecturer to Assistant Professor. She also served at C.V. Raman College of Engineering early in her career. Her roles extend beyond teaching—she is an active PhD supervisor, Board of Studies member, BCA Program Coordinator, and seminar/workshop chairperson, making her a pillar of academic leadership.
📚 CONTRIBUTIONS AND RESEARCH FOCUS IN BIOINFORMATICS
Dr. Mahapatra’s work lies at the intersection of computational biology and machine learning. Her research focuses on:
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Multi-omics data integration (gene expression, miRNA, methylation, and protein interaction).
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Biomarker identification for early cancer diagnosis.
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Artificial Intelligence in Antimicrobial Resistance (AMR) and Precision Medicine.
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Medical image analysis and deep learning applications in disease prediction.
She has developed intelligent models like PerSceptoMed 1.0 and aiGeneR 1.0, which are used for predicting antibiotic resistance and identifying biomarkers in bacterial and cancer datasets.
🏅 ACADEMIC CITATIONS, PUBLICATIONS, & EDITORIAL ENGAGEMENTS
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Peer-reviewed over 10+ journals including Scientific Reports, BMC Pulmonary Medicine, Biochemical Genetics, and Spandidos group journals.
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Reviewer and program committee member of leading conferences like ICACIE, ICAML, ICAIHC.
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Book Chapter Contributor to Taylor & Francis and Wiley publications.
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Delivered multiple invited talks and chaired sessions at ICAIHC 2025, 2023, and 2022, establishing her presence as a thought leader in AI-driven bioinformatics.
🌍 IMPACT AND INFLUENCE
Dr. Mahapatra’s contributions are widely recognized in the global bioinformatics and AI-healthcare research community. Her works are cited in Scopus- and SCIE-indexed journals, including:
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Engineering Applications of Artificial Intelligence (IF 7.5)
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Frontiers in Bioscience-Landmark
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Heliyon
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Gene Reports
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Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
She has collaborated across disciplines and borders, with co-authors from India, Europe, and the USA. Her research has influenced clinical and computational methods in oral cancer, antibiotic resistance, and cardiovascular risk assessment.
🧭 LEGACY AND FUTURE CONTRIBUTIONS
Dr. Mahapatra aims to expand her research into genomics-driven precision medicine, particularly focusing on antimicrobial resistance (AMR) and multi-scale biological network modeling. Her aspiration is to develop AI-driven tools to automate gene prioritization, enhance personalized healthcare, and foster open-source platforms for bioinformatics education and innovation.
Her future goals also include:
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Leading multi-institutional genomic data initiatives
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Mentoring the next generation of bioinformatics researchers
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Contributing to national biomedical AI policies
✅CONCLUSION
Dr. Saswati Mahapatra stands as a dedicated academician and interdisciplinary researcher at the intersection of Computer Science, Bioinformatics, and Healthcare AI. Her pioneering work in multi-omics data integration is shaping new frontiers in genomic medicine and clinical decision-making. With her continued contributions to biomedical AI, she is poised to leave a lasting legacy in the field of computational healthcare innovation.
🔬NOTABLE PUBLICATION:
Integrated multiplex network based approach for hub gene identification in oral cancer
Authors: S. Mahapatra, R. Bhuyan, J. Das, T. Swarnkar
Journal: Heliyon, Volume 7(7)
Year: 2021
Gene selection and enrichment for microarray data—a comparative network based approach
Authors: D.S.K. Nayak, S. Mahapatra, T. Swarnkar
Journal: Progress in Advanced Computing and Intelligent Engineering, pp. 417–427
Year: 2017
Biological networks integration based on dense module identification for gene prioritization from microarray data
Authors: S. Mahapatra, B. Mandal, T. Swarnkar
Journal: Gene Reports, Volume 12, pp. 276–288
Year: 2018
aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli
Authors: D.S.K. Nayak, S. Mahapatra, S.P. Routray, S. Sahoo, S.K. Sahoo, M.M. Fouda, …
Journal: Frontiers in Bioscience-Landmark, Volume 29(2), Article 82
Year: 2024
A Machine Learning Based Drug Recommendation System for Health Care
Authors: M. Mohapatra, M. Nayak, S. Mahapatra
Journal: Graduate Research in Engineering and Technology (GRET), Volume 1(6)
Year: 2022
Prevalence of Red Cell Alloantibodies in Pregnant Women
Authors: B.B. Sahoo, S. Mahapatra, S. Mishra, D. Mishra, R. Panigrahy, P. Parida
Journal: Haematol International Journal, Volume 4(1), pp. 1–9
Year: 2020
PerSceptoMed 1.0: An Advanced Machine Learning Model for Demographic-Based Antibiotic Susceptibility Prediction in Pseudomonas aeruginosa Infections
Authors: S.P. Routray, S. Mahapatra, D.S.K. Nayak, S. Sahoo, B.S. Das, E. Subudhi, …
Journal: Engineering Applications of Artificial Intelligence, Volume 141, Article 109773
Year: 2025