Dr. Tapas Bhadra Assistant Professor / COMPUTER SCIENCE AND ENGINEERING

Email :

Address : Department of Computer Science & Engineering, Aliah University, New Town, Kolkata.

Phone : 4207

Joined : 31st December 2015

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.

Courses Taught/Teaching


Course No.

Title of the Course

No. of hours/


B. Tech (Computer Sc. &Engg.)

3rd year 6th sem


Theory of Computation


5-yrs Integrated MCA

4th year 8th sem


Software Engineering


5-yrs Integrated MCA

5th year 9th sem


Compiler Design


5-yrs Integrated MSc in Computer Science

2nd year 3rd sem


Formal Language & Automata Theory


5-yrs Integrated MSc in Computer Science

5th year 9th sem


Pattern Recognition


Field of Specialization

  • Computer Science & Engineering

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.

Teaching Experience

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



  • 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.

Research Area

  • Pattern Recognition
  • Data Mining
  • Bioinformatics


  • 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 and Ujjwal Maulik, "Unsupervised Feature Selection using Iterative Shrinking and Expansion Algorithm", IEEE Transactions on Emerging Topics in Computational Intelligence (accepted)

  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 (accepted). [Impact Facor: 3.71]

Books Published

  • 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.
  • 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.


  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).



Collaborative Programs

Research Collaboration with Universities in India and abroad:


  • 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)


Orientation/Refresher/QIP CourseAttended/Organized

  • Attended 7-Day FDP on Research Methodology at Aliah University from 12th July 2016 to 20th July 2016.
  • Attended AICTE Sponsored Two-Week National Level FDP on Quantum Computational Intelligence at RCC IIIT Kolkata from 2nd November 2019 to 14th November 2019.
  • 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.
  • 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.
  • 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.
  • Attended One week ICT Mode STTP on "Introduction to Data Analytics (ICT110)" at NITTR, Kolkata during July 26-30, 2021.

Professional Society Activity

Reviewer for the journals (selected):


IEEE Transactions on Neural Networks and Learning Systems

Reviewer for the conferences (selected):


PReMI 2017

FICTA 2015

ICIT 2014,

EEML 2012

Member of Technical Program Committee:



PReMI 2017

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