- Data Mining and Machine Learning
- Evolutionary Computing and Multiobjective Optimization
- Bioinformatics
Experience top of the world living and learning at SRM University-AP
+91-863-2343000
080-6988-6999
Email: admissions@srmap.edu.in
SRM University-AP, Neerukonda,
Mangalagiri Mandal, Guntur District, Andhra Pradesh - 522240
- August 2019 - June 2023 - Postdoctoral Researcher, Institute of Bioinformatics, University Medicine Greifswald, Germany
- August 2018 - August 2019 - Assistant Professor, Department of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, West Bengal, India
- June 2017 – August 2018 - Assistant Professor, Department of Computer Science and Engineering, Bennett University, Greater Noida, Uttar Pradesh, India
- June 2015 – June 2017 - Assistant Professor, Department of Computer Science and Engineering, NIIT University, Neemrana, Rajasthan, India
- August 2008 – August 2010 - Lecturer, Department of Computer Science and Engineering, MCKV Institute of Engineering, Liluah, West Bengal, India
- Developing improved knowledge discovery techniques based on machine learning and soft computing to analyse complex biological datasets.
- Employment of computational methods to analyse of multi-omics data (such as transcriptomics, microbiome, metabolomics, metaproteomics, etc.) from clinical and epidemiological studies to provide meaningful insights.
- 2010 – Fellowship of Erasmus Mundus External Cooperation Window, Lot-13-India-EURINDIA – European Union.
- Member of Association of Computing Machinery (ACM), USA
Journal Publications
- Bhar, A., Gierse, L.C., Meene, A., Wang, H., Karte, C., Schwaiger, T., Schröder, C., Mettenleiter, T.C., Urich, T., Riedel, K. and Kaderali, L.: “Application of a Maximal-Clique Based Community Detection Algorithm to Gut Microbiome Data Reveals Driver Microbes During Influenza A Virus Infection”. Frontiers in Microbiology- Section Systems Microbiology, 13: 979320 (2022).
- Bhar, A., Haubrock, M., Mukhopadhyay, A., Wingender, E.: “Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes”. processes”. BMC Bioinformatics, 16: 200 (2015).
- Koschmann, J., Bhar, A., Stegmaier,P., Kel, A.E. and Wingender, E.: “Upstream Analysis”: An integrated promoter-pathway analysis approach to causal interpretation of microarray data”. Microarrays 4, 270-286 (2015).
- Bhar, A., Haubrock, M., Mukhopadhyay, A., Maulik, U., Bandyopadhyay, S., Wingender, E.: “Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell”. Algorithms for molecular biology 8(1), 9 (2013).
- Bhar, A., Haubrock, M., Mukhopadhyay, A., Maulik, U., Bandyopadhyay, S., Wingender, E.: “δ-TRIMAX: Extracting triclusters and analysing coregulation in time series gene expression data”. In: Raphael, B., Tang, J. (eds.) Algorithms in Bioinformatics. Lecture Notes in Computer Science, vol. 7534, pp. 165–177. Springer, Berlin Heidelberg (2012). doi:10.1007/978-3-642-33122-0_13.
Conferences
- Bhar, A., Haubrock, M., Mukhopadhyay, A., Wingender, E: “Application of a Novel Triclustering Method (δ-TRIMAX) to Mine 3D Gene Expression Data of Breast Cancer Cells” in German Conference on Bioinformatics (GCB), 2013 held in Goettingen, Germany.
- Bhar, A., Haubrock, M., Wingender, E: “Revealing Exclusive Usage Of T- BOX Family Paralogous Transcription Factors Through Identifying Diversity In Expression Profiles During hiPSC Derived Cardiomyocytes Generation” in Regulatory Genomics Special Interest Group- RegGenSig, ISMB/ ECCB, 2013 held in Berlin, Germany.
- E-mail id: anirban.bh@srmap.edu.in