Dr Anirban Bhar

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.

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.