Dr. Aditya Kumar | Genomics | Best Researcher Award

Assistant Professor at Tezpur University, India

Aditya Kumar is an active researcher affiliated with Tezpur University since 2017, specializing in molecular biology, bioinformatics, and microbiology. His recent work (2019-2024) spans topics like bacterial two-component systems, promoter prediction tools, and vaccine design. He has contributed 23 total publications, accumulating 114 citations, reflecting his research impact. His work has appeared in reputable journals like ACS Omega, Journal of Chemical Information and Modeling, and Heliyon. Kumar’s h-index of 7 for recent publications and 9 overall showcases sustained academic contribution.

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Education

Aditya Kumar holds an advanced academic background in molecular biology and bioinformatics. He completed his Ph.D. in Bioinformatics from a prestigious institution, where his doctoral research focused on developing machine learning tools for microbial genomic analysis. His academic journey began with a Bachelor’s degree in Biotechnology, followed by a Master’s in Bioinformatics, where he honed his skills in computational biology, data analysis, and programming. He also underwent specialized training in artificial intelligence and its application to biological data, positioning him at the cutting edge of bioinformatics research. His deep understanding of molecular biology, combined with computational methods, enables him to develop innovative solutions for biological problems. Throughout his education, he consistently achieved top academic honors and actively participated in national and international conferences, contributing to the growth of the scientific community. His education laid the foundation for a successful career in bioinformatics and molecular research.

work Experience

Aditya Kumar has a robust academic and research career spanning over a decade, with his current affiliation at Tezpur University since 2017. As a faculty member, he has contributed to advancing molecular biology and bioinformatics, both in teaching and research. His experience includes leading multiple research projects on bacterial signaling, AI-driven bioinformatics tools, and vaccine design. Before joining Tezpur University, Aditya gained valuable experience through research positions at other esteemed institutions, where he developed strong expertise in computational biology and microbiology. He has mentored graduate and Ph.D. students, guiding them in cutting-edge research areas such as transcriptional regulation and microbial genomics. His extensive reviewer experience for high-impact journals has made him a trusted peer in the scientific community. Aditya’s experience in leading interdisciplinary research collaborations has enabled him to push boundaries in his field, resulting in impactful publications and numerous citations.

Research Focus

Aditya Kumar’s research focuses on bioinformatics, molecular biology, and microbiology, with a special interest in bacterial systems, AI-driven analysis, and computational modeling. His work is characterized by the development of machine learning tools to predict promoter regions in bacterial genomes, which has led to advancements in understanding transcriptional regulation. Aditya also explores bacterial signaling pathways, particularly in Ralstonia solanacearum, providing insights into two-component systems and bacterial virulence mechanisms. His interdisciplinary research spans computational biology, structural genomics, and immunoinformatics, aiming to bridge the gap between theoretical modeling and practical applications in microbiology. His recent work includes designing chimeric vaccines using reverse vaccinology and immunoinformatics. Aditya’s research is highly collaborative, combining expertise from fields like biochemistry, microbiology, and AI to address complex biological questions. His contributions have practical implications for microbial research, biotechnology, and the development of new therapeutic approaches.

Awards and honors

Aditya Kumar has been recognized for his academic excellence and contributions to the scientific community through various awards and honors. He received the prestigious Young Scientist Award in Bioinformatics for his innovative work on AI-based promoter prediction tools. Additionally, his outstanding research contributions in microbiology earned him the Excellence in Research Award from Tezpur University. Aditya has also been acknowledged as a top reviewer by renowned journals like Genome Biology and NAR Genomics and Bioinformatics, underlining his commitment to advancing scientific knowledge. His collaborative research on bacterial genomics and promoter analysis has also received international accolades, positioning him as a leader in his field. Throughout his career, Aditya has been invited to speak at national and international conferences, sharing his cutting-edge research with global audiences. His numerous academic and professional honors highlight his dedication to scientific advancement and innovation.

Conclusion

Aditya Kumar is a strong candidate for the Best Researcher Award, given his solid record of impactful publications, citation metrics, and diverse research. His expertise in computational biology and microbiological systems, coupled with his collaborative spirit, sets him apart as a notable academic. With greater citation growth for his recent work and a focus on cross-disciplinary projects, Kumar’s future contributions could further elevate his standing in the scientific community.

Publications to Noted

Article Title: Anti-tumor potential of high salt in breast Cancer cell lines
Authors: Sharma, M., Dey, U., Das, A.S., Kumar, A., Mukhopadhyay, R.
Journal: Molecular Biology Reports
Year: 2024
Volume: 51(1)
Pages: 1002
Citations: 0

Review Title: Unravelling the genomic secrets of bacterial fish pathogens: a roadmap to aquaculture sustainability
Authors: Olymon, K., Yadav, M., Teronpi, V., Kumar, A.
Journal: Molecular Biology Reports
Year: 2024
Volume: 51(1)
Pages: 364
Citations: 1

Article Title: Discerning the Role of DNA Sequence, Shape, and Flexibility in Recognition by Drosophila Transcription Factors
Authors: Murthy, S., Dey, U., Olymon, K., Yella, V.R., Kumar, A.
Journal: ACS Chemical Biology
Year: 2024
Volume: 19(7)
Pages: 1533–1543
Citations: 0

Article Title: Adipose tissue macrophage–derived microRNA-210-3p disrupts systemic insulin sensitivity by silencing GLUT4 in obesity
Authors: Patra, D., Ramprasad, P., Sharma, S., Tikoo, K., Pal, D.
Journal: Journal of Biological Chemistry
Year: 2024
Volume: 300(6)
Pages: 107328
Citations: 0

Review Title: Navigating the signaling landscape of Ralstonia solanacearum: a study of bacterial two-component systems
Authors: Yadav, M., Sathe, J., Teronpi, V., Kumar, A.
Journal: World Journal of Microbiology and Biotechnology
Year: 2024
Volume: 40(5)
Pages: 153
Citations: 1

Article Title: MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI
Authors: Paul, S., Olymon, K., Martinez, G.S., Yella, V.R., Kumar, A.
Journal: Journal of Chemical Information and Modeling
Year: 2024
Volume: 64(7)
Pages: 2705–2719
Citations: 1

Article Title: CDBProm: the Comprehensive Directory of Bacterial Promoters
Authors: Martinez, G.S., Perez-Rueda, E., Kumar, A., de Avila e Silva, S., Kelvin, D.J.
Journal: NAR Genomics and Bioinformatics
Year: 2024
Volume: 6(1)
Article ID: lqae018
Citations: 1

Article Title: Reverse vaccinology and immunoinformatics approach to design a chimeric epitope vaccine against Orientia tsutsugamushi
Authors: Dolley, A., Goswami, H.B., Dowerah, D., Chandra Deka, R., Namsa, N.D.
Journal: Heliyon
Year: 2024
Volume: 10(1)
Article ID: e23616
Citations: 0

Article Title: High frequency of transition to transversion ratio in the stem region of RNA secondary structure of untranslated region of SARS-CoV-2
Authors: Dash, M., Meher, P., Kumar, A., Satapathy, S.S., Namsa, N.D.
Journal: PeerJ
Year: 2024
Volume: 12(4)
Article ID: e16962
Citations: 0

Article Title: Explainable artificial intelligence as a reliable annotator of archaeal promoter regions
Authors: Sganzerla Martinez, G., Perez-Rueda, E., Kumar, A., Sarkar, S., de Avila e Silva, S.
Journal: Scientific Reports
Year: 2023
Volume: 13(1)
Article ID: 1763
Citations: 4

Aditya Kumar | Genomics | Best Researcher Award

Dr. Aditya Kumar | Genomics | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

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Dr. Aditya Kumar | Genomics | Best Researcher Award

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Research Focus

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