Dr. Tapas Bhadra is currently serving as an Assistant Professor in the Department of Computer Science and Engineering of Aliah University, Kolkata, India. since 2015. He has obtained his Ph.D. (Engg..) from the Department of Computer Science and Engineering of Jadavpur University, Kolkata. He was an INSPIRE Fellow at the Machine Intelligence Unit of Indian Statistical Institute Kolkata during 2011-2015. His research interests include pattern recognition, data mining, computational biology, and bioinformatics.

Education

• Ph.D. (Engg.) from the Department of Computer Science & Engineering of Jadavpur University in 2018. Research works were carried out at the Machine Intelligence Unit of Indian Statistical Institute Kolkata.
• Master of Engineering (Computer Sc. & Engg.) from IIEST Shibpur in 2009.
• Bachelor of Technology (Computer Sc. & Engg.) from West Bengal University of Technology in 2005.

Teaching Experience

• Assistant Professor in the Department of Computer Science & Engineering of Aliah University, Kolkata from 31st December 2015 to till date.

Industrial Experience

• Served as a Trainee Engineer in Alumnus Software Limited during May, 2006 to October, 2006.
• Served as a Member of Technical Staff in Connectiva Systems Private Limited during March, 2007 to October, 2007.

Field of Specialization

• Computer Science & Engineering

Courses Taught/Teaching

Research Area

• Pattern Recognition
• Data Mining
• Bioinformatics

Experience

• Served as DST-sponsored INSPIRE Fellow under the supervision of Prof. Sanghamitra Bandyopadhyay (Director of ISI Kolkata) at the Machine Intelligence Unit of ISI Kolkata from June 2011 to December 2015.

• Served as DST-sponsored Senior Research Fellow under the supervision of Prof. Sanghamitra Bandyopadhyay (Director of ISI Kolkata) at the Machine Intelligence Unit of ISI Kolkata from August 2009 to June 2011.

Conference Papers Published

• S. Mallik, S. Seth, T. Bhadra, N. Tomar, and Z. Zhao, "A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer", Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine Workshops, ISBN: 978-1-7281-1867-3/19, November 18-21, 2019, San Diego, CA, USA, pages 1928-1935.

Journal Papers Published

1. Malay Bhattacharyya, Lars Feuerbach, Tapas Bhadra, Thomas Lengauer and Sanghamitra Bandyopadhyay, “MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection”, Statistical Applications in Genetics and Molecular Biology, vol. 11, no. 1, art. 6, pp. 1–25, 2012. (Impact Factor: 1.717)
2. Tapas Bhadra, Malay Bhattacharyya, Lars Feuerbach, Thomas Lengauer and Sanghamitra Bandyopadhyay, “DNA Methylation Patterns Facilitate the Identification of MicroRNA Transcription Start Sites: A Brain-Specific Study”, PLoS ONE, vol. 8, no. 6, pp. e66722, 2013. (Impact Factor: 3.534)
3. Sanghamitra Bandyopadhyay, Tapas Bhadra, Pabitra Mitra and Ujjwal Maulik, “Integration of Dense Subgraph Finding with Feature Clustering for Unsupervised Feature Selection”, Pattern Recognition Letters, vol. 40, pp. 104-112, 2014. (Impact Factor: 1.551)
4. Tapas Bhadra and Sanghamitra Bandyopadhyay, “Unsupervised feature selection using an improved version of Differential Evolution”, Expert Systems with Applications, vol. 42, no. 8, pp. 4042-4053, 2015. (Impact Factor: 2.981)
5. Sanghamitra Bandyopadhyay, Tapas Bhadra and Ujjwal Maulik, “Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection using Normalized Mutual Information”, Journal of Multiple-Valued Logic and Soft Computing, vol. 25, no. 2-3, pp. 189-213, 2015. (Impact Factor: 0.325)
6. Saurav Mallik, Tapas Bhadra and Ujjwal Maulik, “Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data”, IEEE Transactions on NanoBioscience, vol. 16, no. 1, pp. 3-10, 2017. (Impact Factor: 2.771)
7. Tapas Bhadra, Saurav Mallik and Sanghamitra Bandyopadhyay, “Identification of Multi-View Gene Modules using Mutual Information Based Hypograph Mining", IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 49, no. 6, pp. 1119-1130, 2019. (Impact Factor: 7.351)
8. Saurav Mallik, Tapas Bhadra and Ayan Mukherji, "DTFP-Growth: Dynamic Threshold Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation and Protein-Protein Interaction Profiles", IEEE Transactions on NanoBioscience, vol. 17, no. 2, pp. 117-125, 2018. (Impact Factor: 1.927)
9. Saurav Mallik, Soumita Seth, Tapas Bhadra, and Zhongming Zhao, "A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer using DNA Methylation and Gene Expression Data", Genes, vol. 11, no. 8, pp. 931,2020. [Impact factor: 4.096]
10. Tapas Bhadra and Sanghamitra Bandyopadhyay, "Supervised Feature Selection using Integration of Densest Subgraph Finding with Floating Forward–Backward Search", vol. 566, pp. 1-18, 2021. [Impcat Factor: 6.795]
11. Tapas Bhadra, Saurav Mallik, Neaj Hasan and Zhongming Zhao, “Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer”, BMC Bioinformatics, vol. 23, art. no. 153, pp. 1-19, 2022. [Impact Factor: 3.328]
12. Tapas Bhadra, Saurav Mallik, Amir Sohel, and Zhongming Zhao, "Unsupervised Feature Selection Using an Integrated Strategy of Hierarchical Clustering with Singular Value Decomposition: An Integrative Biomarker Discovery Method with Application to Acute Myeloid Leukemia", IEEE/ACM Transactions on Computational Biology and Bioinformatics vol. 19, no. 3, pp. 1354-1364, 2022. [Impact Factor: 3.702].
13. Soumita Seth, Saurav Mallik, Tapas Bhadra, and Zhongming Zhao, "Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data”, Frontiers in Genetics, vol. 13, art. no. 828479, 2022. [Impact Factor: 4.722]
14. Tapas Bhadra and Ujjwal Maulik, "Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 6, pp. 1453-1462, 2022. [[Impact Factor: 5.3]
15. Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, and Zhongming Zhao, "Optimal Ranking and Directional Signature Classification using the Integral Strategy of Multi-objective Optimization-based Association Rule Mining of Multi-omics Data", Frontiers in Bioinformatics, vol. 3, pp. 1182176, 2023. [Impact Facor 2.8]
16. S. Seth, S. Mallik S, A. Islam, Tapas Bhadra, A. Roy, P.K. Singh, A. Li, Z. Zhao, "Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering", Mathematics, vol. 11, no. 20, pp. 4315, 2023 [Impact Factor: 2.4]
17. Animesh Kairi and Tapas Bhadra, "Decoding the future using a novel DNA-based cryptosystem", Journal of European Chemical Bulletin, vol. 12, pp. 3597-3609, 2023. [Scopus Indexing]
18. Animesh Kairi, Tapas Bhadra, and Arindam Roy, “Secured Healthcare Ecosystem using DNA Cryptography in 5G Network”, Journal of China Petroleum Processing and Petrochemical Technology, vol. 23, no. 2, pp. 763-781, 2023. [Impact Factor: 0.9] [Indexed in Scopus and Science Citation Index Expanded].

Books Published

1. S. Mallik, T. Bhadra, S. Seth, S.Bandyopadhyay, and J. Chen, “Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data,” in Multi-Objective Optimization, Springer, Singapore, 2018, pp. 159-180.
2. S. Mallik, U. Maulik, N. Tomar, T. Bhadra, and A. Mukhopadhyay, and A. Mukherji, "Machine Learning and Rule Mining Techniques in the Study of Gene Inactivation and RNA Interference," in Modulating Gene Expression-Abridging the RNAi and CRISPR-Cas9 Technologies, IntechOpen, London, UK, 2019.

Awards

1. Received the INSPIRE Fellowship award (given only the 1st Rank Holders of Post Graduate programs in any Science/ Engineering/ Medical stream from any recognized university/ institutes) from Department of Science & Technology (DST), Govt. of India in 2011 for doing Ph.D. program.

2. Recipient of "Silver Medal" Award in 2010 for becoming 1st Class 1st in Master of Engineering Examination in Computer Science & Engineering in Bengal Engineering & Science University, Shibpur.

3. Qualified DRDO-SET in Computer Science in 2009.

4. Received MHRD-GATE Scholarship during Master of Engineering.

5. Qualified GATE-2007 in Computer Science with all India rank 1351.

6. Certificates in Achievement-Cum-Diagnostic Test in Mathematics (ADTM).

Patents

Collaborative Programs

Research Collaboration with Universities in India and abroad:

India

• Prof. Sanghamitra Bandyopadhyay (Director of ISI Kolkata)
• Prof. Ujjwal Maulik (Professor in the Department of Computer Science & Engineering at Jadavpur University)
• Dr. Malay Bhattacharyya (Assistant Professor in the Machine Intelligence Unit at ISI Kolkata)

Foreign

• Dr. Saurav Mallik (Postdoctoral Fellow, Harvard University, USA)
• Prof. Zhongming Zhao (Professor at University of Texas Health Science Center at Houston)

Orientation/Refresher/QIP CourseAttended/Organized

1. Attended 7-Day FDP on Research Methodology at Aliah University from 12th July 2016 to 20th July 2016.
2. Attended AICTE Sponsored Two-Week National Level FDP on Quantum Computational Intelligence at RCC IIIT Kolkata from 2nd November 2019 to 14th November 2019.
3. Attended 3 weeks UGC Sponsored Orientation Programme at Human Resource Development Centre (HRDC) of University of Calcutta from 4th February 2020 to 24th February 2020.
4. Attended 2 weeks Online Refresher Course on Research Methodology under UGC-STRIDE program from 7th July 2020 to 20th July 2020 organized by HRDC of Mizoram University.
5. Attended One Week Online International Faculty Development Programme on "Machine Learning and Computer Vision: Applications, Research Challenges" at NIT Silchar during August 24-28, 2020.
6. Attended One week ICT Mode STTP on "Introduction to Data Analytics (ICT110)" at NITTR, Kolkata during July 26-30, 2021.
7. Attended AICTE Sponsored One Week Faculty Development Program (FDP) on “Research Avenues in Machine Learning and AI for Societal Issues" organized by Department of Computer Science and Engineering and Department of Electronics & Communication Engineering, National Institute of Technology Silchar, Assam during 14-18 March, 2022.
8. Attended Two weeks Faculty Development Program (FDP) on Advanced Pedagogy organized by  NITTR, Kolkata during 19-30 June, 2023.
9. Attended IEEE-sponsored Five days Faculty Development Program (FDP) on "Emerging Trends In Artificial Intelligence and Deep Learning" organized by Sri Sairam Institute of Technology during 26-30 December, 2023
10. Attended Five days FDP on “Recent Advances and Future Trends in AI and NLP” organized by Dept. of Computer Sc. Tech. of Global Institute of Science & Technology, Haldia during April 15-19, 2024.

Professional Society Activity

Reviewer for the journals (selected):

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,

IEEE Transactions on Neural Networks and Learning Systems

Reviewer for the conferences (selected):

TENSYMP 2019

PReMI 2017

FICTA 2015

ICIT 2014,

EEML 2012

Member of Technical Program Committee:

CALCON 2020

TENSYMP 2019

PReMI 2017