Academic Profile :

Dr. Malay Bhattacharyya is currently an Assistant Professor at the Machine Intelligence Unit of Indian Statistical Institute, Kolkata. He has completed his PhD in Computer Science from Indian Statistical Institute, Kolkata in 2014. He is a certified Design Thinker from MIT Sloan School of Management. He has about 6 years of teaching and 10 years of research experience. He worked at Indian Institute of Engineering Science and Technology, Shibpur (2014-18), University of Kalyani (2012-14), and Indian Institute of Science, Bangalore (2014) earlier. He received the Young Scientist Award from ISCA (2013-14), became a Sir Visvesvaraya Young Faculty Research Fellow (2015-16), received the Young Engineers Award from IEI (2016-17), received the Young Engineer Award from INAE (2018), and won several best paper and best reviewer awards. He visited Stanford University, USA and University of Ljubljana, Slovenia for academic purposes. He is a member of IEEE, ACM and AAAI.

Publications :

In Peer-reviewed Journals:

1. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, A Review of Judgment Analysis Algorithms for Crowdsourced Opinions, IEEE Transactions on Knowledge and Data Engineering, In press, 2019, DOI: 10.1109/TKDE.2019.2904064. (Latest IF: 2.775)
2. S. K. Mridha and M. Bhattacharyya, Introducing Collaboration in Competitive Crowdsourcing Markets: Toward Managing Decomposable Tasks, IEEE Intelligent Systems, 34(1):23-31, 2019, DOI: 10.1109/MIS.2019.2898184. (Latest IF: 2.596)
3. S. K. Mridha and M. Bhattacharyya, A Network Based Mechanism for Managing Decomposable Tasks via Crowdsourcing, Electronic Commerce Research, 18(4):869-881, 2018, DOI: 10.1007/s10660-018-9317-8. (Latest IF: 1.489)
4. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, A Weighted Rank Aggregation Approach towards Crowd Opinion Analysis, Knowledge-Based Systems, 149:47-60, 2018, DOI: 10.1016/j.knosys.2018.02.005. (Latest IF: 4.396)
5. P. Chatterjee, D. Roy, M. Bhattacharyya and S. Bandyopadhyay, Biological networks in Parkinson's Disease: An insight into the epigenetic mechanisms associated with this disease, BMC Genomics, 18:721, 2017, DOI: 10.1186/s12864-017-4098-3. (IF 2017: 3.729)
6. S. K. Mridha and M. Bhattacharyya, Is Dutch Auction Suitable for Decomposable Tasks in Competitive Crowdsourcing Markets?, Human Computation, 4(1):71-77, 2017, DOI: 10.15346/hc.v4i1.4.
7. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Dependent Judgment Analysis: A Markov Chain based Approach for Aggregating Crowdsourced Opinions, Information Sciences, 396:83-96, 2017, DOI: 10.1016/j.ins.2017.01.036. (IF 2017: 4.305)
8. M. Bhattacharyya, T. Ghosh, S. Shankar and N. Tomar, The Conserved Phylogeny of Blood Microbiome, Molecular Phylogenetics and Evolution, 109:404-408, 2017, DOI: 10.1016/j.ympev.2017.02.001. (IF 2017: 4.412)
9. M. Bhattacharyya, S. Maity and S. Bandyopadhyay, Exploring the Missing Links between Dietary Habits and Diseases, IEEE Transactions on NanoBioscience, 16(3):226-238, 2017, DOI: 10.1109/TNB.2017.2654121. (IF 2017: 2.158)
10. S. Chatterjee and M. Bhattacharyya, Judgment Analysis of Crowdsourced Opinions using Biclustering, Information Sciences, 375:138-154, 2017, DOI: 10.1016/j.ins.2016.09.036. (IF 2017: 4.305)
11. A. Roy and M. Bhattacharyya, Identifying MicroRNAs related to Alzheimer's Disease from Differential Methylation Signatures, Gene Reports, 4:104-111, 2016, DOI: 10.1016/j.genrep.2016.04.006.
12. M. Bhattacharyya, J. Nath and S. Bandyopadhyay, Identifying Significant microRNA-mRNA Pairs Associated with Breast Cancer Subtypes, Molecular Biology Reports, 43(7):591-599, 2016, DOI: 10.1007/s11033-016-4021-z. (IF 2016: 1.828)
13. M. Bhattacharyya, J. Nath and S. Bandyopadhyay, MicroRNA Signatures Highlight New Breast Cancer Subtypes, Gene, 556(2):192-198, 2015, DOI: 10.1016/j.gene.2014.11.053. (IF 2015: 2.319)
14. M. Bhattacharyya and S. Bandyopadhyay, Finding Quasi Core with Simulated Stacked Neural Networks, Information Sciences, 294:1-14, 2015, DOI: 10.1016/j.ins.2014.09.032. (IF 2015: 3.364)
15. P. Chatterjee, M. Bhattacharyya, S. Bandyopadhyay and D. Roy, Studying the System-level Involvement of MicroRNAs in Parkinson’s Disease, PLoS ONE, 9(4):e93751, 2014, DOI: 10.1371/journal.pone.0093751. (IF 2014: 3.234)
16. U. Maulik, A. Mukhopadhyay, M. Bhattacharyya, S. Bandyopadhyay, R. Eils, B. Brors and L. Kaderali, Mining Quasi-Bicliques from HIV-1–Human Protein Interaction Network: A Multiobjective Biclustering Approach, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(2):423-435, 2013, DOI: 10.1109/TCBB.2012.139. (IF 2013: 1.536)
17. M. Bhattacharyya, M. Das and S. Bandyopadhyay, A New Approach for Combining Knowledge from Multiple Co-expression Networks of MicroRNAs, IEEE Transactions on Biomedical Engineering, 60(8):2167-2173, 2013, DOI: 10.1109/TBME.2013.2250285. (IF 2013: 2.233)
18. T. Bhadra, M. Bhattacharyya, L. Feuerbach, T. Lengauer and S. Bandyopadhyay, DNA Methylation Patterns Facilitate the Identification of MicroRNA Transcription Start Sites: A Brain-specific Study, PLoS ONE, 8(6):e66722, 2013, DOI: 10.1371/journal.pone.0066722. (IF 2013: 3.534)
19. M. Bhattacharyya and S. Bandyopadhyay, Studying the Differential Co-expression of MicroRNAs Reveals Significant Role of White Matter in Early Alzheimer’s Progression, Molecular BioSystems, 9(3):457-466, 2013, DOI: 10.1039/c2mb25434d. (IF 2013: 3.183)
20. M. Bhattacharyya, M. Das and S. Bandyopadhyay, miRT: A Database of Validated Transcription Start Sites of Human MicroRNAs, Genomics, Proteomics & Bioinformatics, Special issue on “microRNAs”, 10(5):310-316, 2012, DOI: 10.1016/j.gpb.2012.08.005. (Invited paper) (First IF 2017: 6.615)
21. M. Bhattacharyya and S. Bandyopadhyay, In Silico Identification of OncomiRs in Different Cancer Types, Journal of The Institution of Engineers (India): Series B, 93(1):15-23, 2012, DOI: 10.1007/s40031-012-0003-2. (Invited paper)
22. M. Bhattacharyya, M. Bhattacharyya and S. Bandyopadhyay, Recent Directions in Compressing Next Generation Sequencing Data, Current Bioinformatics, 7(1):2-6, 2012, DOI: 10.2174/157489312799304422. (IF 2012: 2.017)
23. M. Bhattacharyya, L. Feuerbach, T. Bhadra, T. Lengauer and S. Bandyopadhyay, MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection, Statistical Applications in Genetics and Molecular Biology, 11(1):6, 2012, DOI: 10.2202/1544-6115.1743. (IF 2012: 1.717)
24. S. Bandyopadhyay and M. Bhattacharyya, A Biologically Inspired Measure for Co-expression Analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(4):929-942, 2011, DOI: 10.1109/TCBB.2010.106. (IF 2011: 1.543)
25. U. Maulik, M. Bhattacharyya, A. Mukhopadhyay and S. Bandyopadhyay, Identifying the Immunodeficiency Gateway Proteins in Human and their Involvement in MicroRNA Regulation, Molecular BioSystems, 7(6):1842-1851, 2011, DOI: 10.1039/C1MB05026E. (IF 2011: 3.534)
26. S. Bandyopadhyay and M. Bhattacharyya, PuTmiR: A database for extracting neighboring transcription factors of human microRNAs, BMC Bioinformatics, 11:190, 2010, DOI: 10.1186/1471-2105-11-190. (IF 2010: 3.028)
27. M. Bhattacharyya and S. Bandyopadhyay, Solving Maximum Fuzzy Clique Problem with Neural Networks and its Applications, Memetic Computing, Thematic Issue on “Adaptive Soft Computing Techniques and Applications”, 1(4):281-290, 2009, DOI: 10.1007/s12293-009-0019-6. (First IF 2014: 1.000)
28. S. Bandyopadhyay and M. Bhattacharyya, Mining the Largest Dense Vertexlet in a Weighted Scale-free Graph, Fundamenta Informaticae, 96(1-2):1-25, 2009, DOI: 10.3233/FI-2009-164. (IF 2009: 0.615)
29. M. Bhattacharyya, S. Bandyopadhyay and U. Maulik, Non-primes are Recursively Divisible, Acta Universitatis Apulensis, 19:147-151, 2009.
30. S. Bandyopadhyay and M. Bhattacharyya, A Novel Method of Studying the Disease Regulatory Activities of MicroRNAs, Current Bioinformatics, 4(3):234-241, 2009, DOI: 10.2174/157489309789071101. (IF 2009: 1.688)
31. S. Bandyopadhyay and M. Bhattacharyya, Analyzing miRNA co-expression networks to explore TF-miRNA regulation, BMC Bioinformatics, 10:163, 2009, DOI: 10.1186/1471-2105-10-163. (IF 2009: 3.428)
32. M. Bhattacharyya and A. K. Bandyopadhyay, Comparative Study of Some Solution Methods for Traveling Salesman Problem Using Genetic Algorithms, Cybernetics and Systems, 40(1):1-24, 2009, DOI: 10.1080/01969720802492967. (IF 2009: 0.78)
33. M. Bhattacharyya and A. K. Bandyopadhyay, On single courier problem, Optimization Letters, 2(4):535-541, 2008, DOI: 10.1007/s11590-008-0079-4. (IF 2008: 0.528)
34. M. Bhattacharyya and M. Bhattacharyya, A Novel Design Approach of Boolean Functions with 2-input Universal NAND Gates using μ-graph Method, Journal of Multiple-Valued Logic and Soft Computing, 14(1-2):177-189, 2008. (IF 2008: 0.308)

In Peer-reviewed Book Chapters:

1. M. Bhattacharyya and S. Bandyopadhyay, Involvement of MicroRNAs in Alzheimer's Disease, MicroRNA: Perspectives in Health and Diseases, J. Paul and R. Muthuswami (Eds.), CRC Press, pp. 97-111, 2018, DOI:  (ISBN: 978-1-138-05483-7).
2. S. Chatterjee, S. K. Mridha, S. Bhattacharyya, S. Shakhari and M. Bhattacharyya, Dynamic Congestion Analysis for Better Traffic Management using Social Media, S. Das and S. C. Satapathy (Eds.), Springer Smart Innovation, Systems and Technologies 51, Vol. 2, Chapter 09, pp. 85-95, 2016, DOI: 10.1007/978-3-319-30927-9_9 (ISBN: 978-3-319-30926-2). [Appeared in the International Conference on ICT for Intelligent Systems (ICTIS), Ahmedabad, India, November 28-29, 2015]
3. M. Bhattacharyya and S. Bandyopadhyay, Bounds on Quasi-completeness, Combinatorial Algorithms, S. Arumugam and W. F. Smyth (Eds.), Springer LNCS 7643, pp. 1-5, 2012, DOI: 10.1007/978-3-642-35926-2_1 (ISBN: 978-3-642-35925-5). [Preliminary version presented in the 23^rd International Workshop on Combinatorial Algorithms (IWOCA), Tamil Nadu, India, July 19-21, 2012]
4. M. Bhattacharyya and S. Bandyopadhyay, Analyzing Topological Properties of Protein-protein Interaction Networks: A Perspective towards Systems Biology, Computational Intelligence and Pattern Analysis in Biological Informatics, U. Maulik, S. Bandyopadhyay and J. T. L. Wang (Eds.), John Wiley & Sons, Inc., pp. 349-368, 2010, DOI: 10.1002/9780470872352.ch16 (ISBN: 978-0-470-58159-9).
5. S. Bandyopadhyay and M. Bhattacharyya, A Neuro-GA Approach for the Maximum Fuzzy Clique Problem, Advances in Neuro-Information Processing, M. Köeppen, N. Kasabov and G. Coghill (Eds.), Springer LNCS 5506, pp. 605-612, 2009, DOI: 10.1007/978-3-642-02490-0_74 (ISBN: 978-3-642-02489-4).

In Peer-reviewed Magazines:

1. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Constrained Crowd Judgment Analysis, ACM SIGWEB Newsletter, Autumn, Article No. 4, 2017, DOI: 10.1145/3146484.3146488.
2. M. Bhattacharyya, Disease Dietomics, XRDS: Crossroads – The ACM Magazine for Students, ISSN: 1528-4972, 21(4), pp. 38-44, 2015, DOI: 10.1145/2788508.
3. M. Bhattacharyya, Simulating a Turing Machine, XRDS: Crossroads – The ACM Magazine for Students, ISSN: 1528-4972, 18(3), pp. 43-45, 2012, DOI: 10.1145/2090276.2090290.
4. M. Bhattacharyya and V. Giannikas, Behold a Pail of Milk: The Future of Banking, Currency, and E-commerce, XRDS: Crossroads – The ACM Magazine for Students, ISSN: 1528-4972, 17(3), pp. 5, 2011, DOI: 10.1145/1925041.1925050.
5. M. Bhattacharyya, Courier Problems, XRDS: Crossroads – The ACM Magazine for Students, ISSN: 1528-4972, 15(4), pp. 19-21, 2009, DOI: 10.1145/1558897.1558902.
6. M. Bhattacharyya and S. Bandyopadhyay, Information Fusion in Bioinformatics, Technorama, The Institution of Engineers (India), ISSN: 0971-3344, 58(T), pp. 21-25, Summer-Winter 2008-09.

In Peer-reviewed Conference Proceedings:

1. A. Mandal, M. Agarwal and M. Bhattacharyya, Collective Story Writing through Linking Images, In Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), Zurich, Switzerland, July 5-8, 2018, (arXiv ID: 1806.04298).
2. S. K. Mridha and M. Bhattacharyya, Network based Mechanisms for Competitive Crowdsourcing, In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD), Goa, India, January 11-13, pp. 318-321, 2018, DOI: 10.1145/3152494.3167979 (ISBN: 978-1-4503-6341-9/18/01).
3. M. Bhattacharyya and S. K. Mridha, Studying the Influence of Requesters in Posted-price Crowdsourcing, In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD), Goa, India, January 11-13, pp. 1-10, 2018, DOI: 10.1145/3152494.3152495 (ISBN: 978-1-4503-6341-9/18/01). [Acceptance rate: 30%]
4. S. K. Mridha, B. Sarkar, S. Chatterjee and M. Bhattacharyya, Identifying Unsafe Videos on Online Public Media using Real-time Crowdsourcing, In Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), Québec City, Canada, October 24-26, 2017, (arXiv ID: 1708.09654).
5. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Quality Enhancement by Weighted Rank Aggregation of Crowd Opinion, In Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), Québec City, Canada, October 24-26, 2017, (arXiv ID: 1708.09662).
6. C. Bhattacharya, P. Chakraborty, R. Pandey and M. Bhattacharyya, Microbiome Diversity on Materials, In Proceedings of the 16th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA), Prague, Czech Republic, July 22-23, F1000Research:6-1383, 2017.
7. M. Bhattacharyya, Tracking Human Trafficking with Crowdsourcing, In Proceedings of the ACM SIGCHI Symposium on HCI Across Borders (CHI HCIxB), Denver, USA, May 06-07, Paper ID 17,  2017.
8. S. K. Mridha and M. Bhattacharyya, Driving Collaboration with Curiosity, In Proceedings of the ACM SIGCHI Workshop on Designing for Curiosity (CHI Curiosity), Denver, USA, May 07, Paper ID B-1, 2017.
9. S. Chatterjee and M. Bhattacharyya, A Probabilistic Approach to Group Decision Making, In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI EA), Denver, USA, May 06-11, pp. 2445-2451, ACM Press, 2017, DOI: 10.1145/3027063.3053226 (ISBN: 978-1-4503-4656-6). [Acceptance rate: 20%]
10. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Judgment Analysis Based on Crowdsourced Opinions, In Proceedings of the IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, USA, April 19-22, pp. 1439-1444, IEEE Press, 2017, DOI: 10.1109/ICDE.2017.207 (ISBN: 978-1-5090-6544-8).
11. M. Bhattacharyya, In Search of Health Doubles, In Proceedings of the AAAI 2017 Spring Symposium on AI for the Social Good (AISOC), Palo Alto, USA, March 27-29, SS-17-01, pp. 12-15, AAAI Press, 2017 (ISBN: 978-1-57735-754-4).
12. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Smart City Planning with Constrained Crowd Judgment Analysis, In Proceedings of the AAAI 2017 Spring Symposium on AI for the Social Good (AISOC), Palo Alto, USA, March 27-29, SS-17-01, pp. 16-22, AAAI Press, 2017 (ISBN: 978-1-57735-754-4).
13. M. Bhattacharyya, Y. Suhara, M. M. Rahman and M. Krause, Possible Confounds in Word-based Semantic Similarity Test Data, In Proceedings of the 20^th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion), Portland, USA, February 25-March 01, pp. 147-150, ACM Press, 2017, DOI: 10.1145/3022198.3026357 (ISBN: 978-1-4503-4688-7).
14. A. Singh*, R. Tibrewal*, C. Bhattacharya and M. Bhattacharyya, Hands up! To Assess Your Sustained Fitness, In Proceedings of the 8^th International conference on Intelligent Human Computer Interaction (IHCI), Pilani, India, December 12-13, Springer LNCS 10127, pp. 187-194, 2016, DOI: 10.1007/978-3-319-52503-7_15 (ISBN: 978-3-319-52502-0). [Acceptance rate: 19.1%]
15. A. Dash, S. Chatterjee, T. Prasad and M. Bhattacharyya, Image Clustering without Ground Truth, In Proceedings of the Fourth AAAI HCOMP Workshop on Human Computation for Image and Video Analysis (HCOMP GroupSight), Austin, USA, November 03, 2016 (arXiv ID: 1610.07758).
16. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Consensus of Dependent Opinions, In Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), Austin, USA, October 31-November 02, 2016, (arXiv ID: 1609.01408).
17. R. Tibrewal*, A. Singh* and M. Bhattacharyya, mSTROKE: A Crowd-powered Mobility towards Stroke Recognition, In Proceedings of the 18^th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI Adjunct), Florence, Italy, September 6-9, pp. 645-650, ACM Press, 2016, DOI: 10.1145/2957265.2961831 (ISBN: 978-1-4503-4413-5).
18. M. Bhattacharyya, The Curse of Competitive Crowd Intelligence, In Proceedings of the AAAI 2016 Spring Symposium on Intelligent Systems for Supporting Distributed Human Teamwork (Teamwork), Palo Alto, USA, March 21-23, SS-16-05, pp. 264-267, AAAI Press, 2016 (ISBN: 978-1-577-35754-4).
19. M. Bhattacharyya, Spying with the Crowd, In Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), San Diego, USA, November 08-11, Paper ID 31, 2015.
20. M. Bhattacharyya, Studying the Reality of Crowd-powered Healthcare, In Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), San Diego, USA, November 08-11, Paper ID 32, 2015.
21. M. Bhattacharyya, Dropout Prediction in Crowdsourcing Markets, In Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP WiP), San Diego, USA, November 08-11, Paper ID 56, 2015.
22. S. Chatterjee and M. Bhattacharyya, A Biclustering Approach for Crowd Judgment Analysis, In Proceedings of the 2^nd ACM IKDD Conference on Data Sciences (CoDS), Bangalore, India, March 18-21, pp. 118-119, ACM Press, 2015, DOI: 10.1145/2732587.2732607. [Acceptance rate: 39.5%]
23. M. Bhattacharyya, Viability of Crowd-Volunteered Open Research Reviews, In Proceedings of the AAAI HCOMP Workshop on Volunteer-Based Crowdsourcing in Science, Public Health and Government (HCOMP Citizen + X), Pittsburgh, USA, November 02, WS-14-20, pp. 6-7, AAAI Press, 2014 (ISBN: 978-1-577-35690-5).
24. M. Bhattacharyya, S. Bhattacharya and S. Bandyopadhyay, Estimating Completeness in Streaming Graphs, In Proceedings of the EDBT/ICDT International Workshop on Multimodal Social Data Management (EDBT/ICDT MSDM), Athens, Greece, March 28, CEUR 1133, pp. 294-299, 2014 (ISSN: 1613-0073). [Acceptance rate: 37.5%]
25. M. Bhattacharyya, Analyzing Flightfox: Who takes the Cake before the Take-off?, In Proceedings of the AAAI HCOMP Workshop on Crowdsourcing at Scale (HCOMP CrowdScale), Palm Springs, USA, November 09, Position Paper 02, 2013.
26. M. Bhattacharyya, Opinion Ensembling: Learning from Dependent Judgements of the Crowd, In Proceedings of the AAAI HCOMP Workshop on Crowdsourcing at Scale (HCOMP CrowdScale), Palm Springs, USA, November 09, Shared Task Challenge Paper 01, 2013.
27. M. Bhattacharyya and S. Bandyopadhyay, Prioritization of Clusters for Post-genomic Analysis, In Proceedings of the First International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA), Kalyani, India, September 27-28, Procedia Technology 10, pp. 3-12, Elsevier, 2013, DOI: 10.1016/j.protcy.2013.12.330 (ISSN: 2212-0173). [Acceptance rate: 39%]
28. M. Bhattacharyya and S. Bandyopadhyay, Bounds on Quasi-completeness, In Proceedings of the 23^rd International Workshop on Combinatorial Algorithms (IWOCA), Tamil Nadu, India, July 19-21, pp. 56, 2012, DOI: 10.1007/978-3-642-35926-2_1 (ISBN: 978-3-642-35925-5). [Acceptance rate: 34%]
29. M. Bhattacharyya, S. Bandyopadhyay and U. Maulik, Finding Bicliques in Digraphs: Application into Viral-host Protein Interactome, In Proceedings of the 4^th International Conference on Pattern Recognition and Machine Intelligence (PReMI), Moscow, Russia, June 27-July 01, Springer LNCS 6744, pp. 412-417, 2011, DOI: 10.1007/978-3-642-21786-9_67 (ISBN: 978-3-642-21785-2). [Acceptance rate: 46%]
30. M. Bhattacharyya and S. Bandyopadhyay, Computational Discovery of Different Categories of Human Oncogenic MicroRNAs, In Proceedings of the 1^st IFIP International Conference on Bioinformatics (BIOINFO), Surat, India, March 25-28, no. 94, 2010. [Acceptance rate: 57%]
31. M. Bhattacharyya and S. Bandyopadhyay, A Combinatorial Counterpart of the Maximum Quasi-clique Problem, In Proceedings of the International Conference on Discrete Mathematics, Algebra and their Applications (DIMA), Minsk, Belarus, October 19-22, pp. 129-130, 2009 (ISBN: 985-6499-61-5).
32. M. Bhattacharyya and S. Bandyopadhyay, Mining the Largest Quasi-clique in Human Protein Interactome, In Proceedings of the International Conference on Adaptive and Intelligent Systems (ICAIS), Klagenfurt, Austria, September 24-26, pp. 194-199, IEEE Press, 2009, DOI: 10.1109/ICAIS.2009.39 (ISBN: 978-0-7695-3827-3). [Acceptance rate: 44%]
33. M. Bhattacharyya and S. Bandyopadhyay, Integration of Co-expression Networks for Gene Clustering, In Proceedings of the 7^th International Conference on Advances in Pattern Recognition (ICAPR), Kolkata, India, February 04-06, pp. 355-358, IEEE Press, 2009, DOI: 10.1109/ICAPR.2009.55 (ISBN: 978-0-7695-3520-3). [Acceptance rate: 42%]
34. S. Bandyopadhyay and M. Bhattacharyya, A Chaotic Neuro-GA Synergism for Solving Maximum Fuzzy Clique Problem, In Proceedings of the 15^th International Conference on Neural Information Processing (ICONIP), Auckland, New Zealand, November 25-28, pp. 209-210, 2008. [Acceptance rate: 65%]
35. M. Bhattacharyya, On Heuristics in Population Initialization to Control the Time Factor of a Class of Evolutionary Algorithms for Real-life Problems, A Handbook of Information Technology, Vitasta Publishing Pvt Ltd, India, C. T. Bhunia (Ed.), Proceedings of the 1^st International Conference on Information Technology (INTL-INFOTECH), Haldia, India, March 19-21, pp. 502-505, 2007 (ISBN: 81-89766-74-0).
36. M. Bhattacharyya, A Hybrid Algorithm using Genetic Adaptive Systems and Heuristics for Partition Problem, In Proceedings of the 1^st International Conference on Intelligent Systems and Networks (IISN), Haryana, India, February 23-25, pp. 184-189, 2007.