Ph.D.: PhD in Engineering from Jadavpur University (under guidance of Indian Statistical Institute)

Post Graduate: M.Tech in Computer Sc. & Engg. and M.Sc in Computer Science from University of Calcutta

Under Graduate: B.Sc in Computer Science from University of Calcutta

Received BEST PAPER AWARD for the Springer conference paper: Chandra Das, Shilpi Bose, Abhik Banerjee, Sourav Dutta, Kuntal Ghosh, Matangini Chattopadhyay, “Comparative Performance Analysis of Different Measures to Select Disease Related Informative Genes from Microarray Gene Expression Data”, International Conference on Innovation in Modern Science and Technology (ICIMSAT-2019), Springer, September 20th-21st, 2019.

Acted as a Member of PREMI’19(International Conference) Technical Review Committee of Indian Statistical Institute (ISI), Kolkata.
Acted as a Member of PREMI’17 (International Conference) Technical Review Committee of Indian Statistical Institute (ISI), Kolkata.
Working as a paper setter in MAKAUT.
Worked as a paper setter in University of Calcutta.
Worked as a paper setter in Vidyasagar University
Worked as an examiner in Jadavpur University
Worked as a paper setter and Examiner of JIS university.
Worked as a guest lecturer in GCTIE, Serampore, under TEQIP collaboration.
Acted as a member of organizing committee of a short-term course on Formal Language & Automata Theory, held in BESU, Shibpur, under TEQIP collaboration.

Bioinformatics, Clinical/Medical Informatics, Business Intelligence, Image Processing

Involved in post PhD collaborative research work with Indian Statistical Institute from 2012.
Involved in post PhD collaborative research work with Jadavpur University from 2012.
Worked as a Project Co-Investigator in Jadavpur University.

Acted as a reviewer of Springer, Nature.
Acted as a reviewer of BMC Bioinformatics.
Acted as a reviewer of Informatics in Medicine Unlocked, Elsevier.
Acted as a reviewer of PREMI-2019, ISI, KOLKATA.
Acted as a reviewer of PREMI-2017, ISI, KOLKATA.
Acted as a reviewer of CINE-2017.
Acted as a reviewer of SKIMA-2014.

Project Title: Analysis of Gene Expression Data.
Sponsoring Agency: DST-PURSE programme at JU.
Principal Investigator: Prof. Samiran Chattopadhyay, JU.
Co-Investigator: Dr. Chandra Das, NSEC.
Amount: Rs. 7.00 Lakhs (approximate).
Tentative Duration: 2016-2018

2

Undergraduate: Artificial Intelligence, Compiler Design, Formal language and Automata Theory, Basic Computation and principles of programming languages, Data Structure, Design and analysis of Algorithms, Database Management Systems

Postgraduate: Soft Computing, Bioinformatics, AI &Neural Network

Acting as a track a chair and publication chair in NSEC organized IEEE conference ICCE2020.
Acting as a member of Institutional NAAC committee
Acting as a member of Institutional R&D committee.
Acting as a member of Departmental Academic Committee from 2017 to till date.
Acting as a Coordinator of Departmental R&D committee since December 2016 to till date.
Acting as the advisor of Departmental Project and Seminar committee.
Acting as a coordinator of Departmental meeting of CSE from December, 2016 to till date.
Acted as a coordinator of Departmental meeting of IT from 2012 to December, 2016.
Acted as in-charge of Departmental library of ITfrom2012 to December ,2016.
Acted as a coordinator of Departmental meeting of CSE from 2005 to 2012.
Acted as in-charge of Departmental library of CSE from 2003 to 2012.
Acted as in-charge of CSE Project Lab from 2003 to 2012.
Acted as an in-charge of in CSE department from September to October, 2011.
Acted as a member of organizing committee of Departmental Seminar on Courseware Engg. In 2007.
Acted as a member of organizing committee of Departmental Seminar on Bioinformatics and Soft Computing in 2007 and 2008.
Worked as a member in Curriculum Development of subjects related to M.Tech in Computer Sc. &Engg. at NSEC in 2004-2005.

1. Neural Style Transfer using Convolution Neural Network using MISH activation function.
2. Patient Disease Subtyping using a New Clustering Framework From multiple Breast Cancer Datasets

Chandra Das, Shilpi Bose, Samiran Chattopadhyay, Matangini Chattopadhyay, Alamgir Hossain, “A Bicluster-based Sequential Interpolation Imputation Method for Estimation of Missing Values in Microarray Gene Expression Data", Current Bioinformatics, Bentham Science, 12(2), pp. 118-130, 2017.
Major Index: Science Citation Index Expanded, SCOPUS (Impact factor at 2017 : 1.8).

Chandra Das, Shilpi Bose, Matangini Chattopadhyay, Samiran Chattopadhyay, “A Novel Distance Based Iterative Sequential KNN Algorithm for Estimation of Missing Values in Microarray Gene Expression Data", International Journal of Bioinformatics Research and Applications (IJBRA), Inderscience, 12(4), pp.-312-342, 2016.
Major Index: SCOPUS, SCImago (Impact factor at 2016 : 0.231)

Chandra Das and Pradipta Maji, “Possibilistic Biclustering Algorithm for Discovering Value-Coherent Overlapping ?-Biclusters”, International Journal of Machine Learning and Cybernetics, Springer, 6(1), pp. 95--107, January 2015.
Major Index: Science Citation Index Expanded, SCOPUS, SCImago (Impact factor at 2015 : 0.774)

Pradipta Maji and Chandra Das, “Biologically Significant Supervised Gene Clusters for Microarray Cancer Classification”, IEEE Transaction on Nanobioscience, IEEE, 11(2), pp. 161--168, June 2012.
Major Index: SCI, SCOPUS (Impact factor at 2012 : 1.286)

Pradipta Maji and Chandra Das, Efficient Design of Bio-Basis Function to Predict Protein Functional Sites Using Kernel-Based Classifiers, IEEE Transactions on NanoBioscience, IEEE, 9(4), pp. 242--249, December 2010.
Major Index: SCI, SCOPUS(Impact factor at 2010 : 1.712).

Pradipta Maji and Chandra Das, Protein Functional Sites Prediction Using Modified Bio-Basis Function and Quantitative Indices, IEEE Transactions on NanoBioscience, IEEE, 9(4), pp. 250--257, December 2010.
Major Major Index: SCI, SCOPUS(Impact factor at 2010 : 1.712)

Chandra Das and Pradipta Maji, Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification, International Journal of Software Science and Computational Intelligence, IGI Global, 2(2), pp. 19--43, April-June, 2010.
Major Index: DBLP .

Pradipta Maji and Chandra Das, Pattern Classification Using NNTree: Design and Application for Biological Dataset, Journal of Intelligent Systems, Willey, 17(1-3), pp. 51--71, 2008.
Major Index: SCOPUS, SCImago.

Arindam Sarkar, Shilpi Bose, and Chandra Das,”HGRIHCI: Hand gesture recognition for intuitive human computer interaction”, International journal of computer application (IJCA), Volume 150, No. 10, Page: 15-20, November 2016.

Arnab Mitra, Anirban Kundu, Chandra Das, “Random Number Generators: Performance Comparison of ELCA and MaxCA”, CSI Transaction on ICT, Springer, India, Volume 2(2), pp. 117-127, June 2014.

Chandra Das et al., “A Novel Distance based Modified K-Means Clustering Algorithm for Estimation of Missing Values in Micro-array Gene Expression Data”, International Journal of Information Technology and Management Information System, Volume 5, Issue 3, pp. 1-13, September, 2014.

Shilpi Bose, Chandra Das, Abirlal Chakraborty, Samiran Chattopadhyay, “A Novel Attribute Clustering Algorithm for Extraction of Discriminative Features to Classify Samples from Microarray Gene Expression Data", LNIT, Volume 1, No. 4, December 2013.

Chandra Das, Arghadip Chakraborty, Sohel Raja Molla, Disha Sinha, Shankhadeep Giri, Shilpi Bose, “A New Hybrid Feature Selection–Classification Method to Identify Churned Customers”, 5th International Conference on Microelectronics, Computing & Communication Systems (MCCS-2020), Springer,11-12th July 2020.

Shilpi Bose, Chandra Das, Abhik Banerjee, Matangini Chattopadhyay, Samiran Chattopadhyay,” An Ensemble Filtering and Supervised Clustering based Informative Gene Selection Algorithm in Microarray Gene Expression Data”, 4th International Conference on Computational Intelligence and Networks (CINE-2020), IEEE, 27-29 February, 2020.

Chandra Das, Shilpi Bose, Arnab Chanda, Sandip Singh, Sumanta Das, Kuntal Ghosh, ”Analysis of Importance of Pre-requisite Subjects on Student Academic Performance in Dependent Subjects Using Association Rule Mining Number”, 4th International Conference on Advanced Computing and Intelligent Engineering (ICACIE-2019), Springer, 21-23 December, 2019.

Chandra Das, Shilpi Bose, Abhik Banerjee, Sourav Dutta, Kuntal Ghosh, Matangini Chattopadhyay, “Comparative Performance Analysis of Different Measures to Select Disease Related Informative Genes from Microarray Gene Expression Data”, International Conference on Innovation in Modern Science and Technology (ICIMSAT-2019), Springer, September 20th-21st, 2019.

Chandra Das, Shilpi Bose, Debanjana Karmakar, Agniswar Roy, Natasha Ghosh, Abhik Banerjee, Matangini Chattopadhyay, “Impact of Partition Based Clustering Algorithms to Cluster Samples in Microarray Gene Expression Data”, International Conference on Innovation in Modern Science and Technology (ICIMSAT-2019), Springer, September 20th-21st, 2019.

Sourav Dutta, Mithila Hore, Faraz Ahmad, Anam Saba, Manuraj Kumar and Chandra Das, “SBi-MSREimpute: A Sequential Biclustering Technique based on Mean Squared Residue and Euclidean distance to Predict Missing Values in Microarray Gene Expression Data”, INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY (IEMIS2018), February 22-24, 2018.

Shilpi Bose, Chandra Das, Samiran Chattopadhyay, Matangini Chattopadhyay, “A Novel Bicluster Based Missing Value Prediction Method for Microarray Gene Expression Data”, IEEE, MAMI 2015 , December 17-19, 2015.
Arnab Mitra, Anirban Kundu, Chandra Das,” Cost effective PRNG using ELCA: A BIST application”, IEEE (ACES), February 1-2, 2014.

Shilpi Bose, Chandra Das, Tamaghna Gangopadhyay, Samiran Chattopadhyay, “A Modified Local Least Square based Missing Value Estimation Method in Microarray Gene Expression Data”, IEEE, ADCON 2013 , December 15-17, 2013.

Shilpi Bose, Chandra Das, Sourav Dutta , Samiran Chattopadhyay, “A Novel Interpolation based Missing Value Estimation Method to Predict Missing Values in Microarray Gene Expression Data”, IEEE, CODIS 2012 , December 28 -29, 2012.

Shilpi Bose, Chandra Das, Abirlal Chakraborty, Samiran Chattopadhyay, "Effectiveness of Different Partition based Clustering Algorithms for Estimation of Missing Values in Microarray Gene Expression Data", Springer sponsored The Second International Conference on Advances in Computing and Information Technology (ACITY 2012), July 13-15, 2012.

Chandra Das, Pradipta Maji, and Samiran Chattopadhyay, Supervised Gene Clustering for Extraction of Discriminative Features from Microarray Data, Proceedings of IEEE INDICON 2010, India, pp. 1--4, December 17-19, 2010.

Chandra Das and Pradipta Maji, A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data, Proceedings of 4th Indian International Conference on Artificial Intelligence (IICAI-09), India, pp. 113--129, December 16-18, 2009.

Chandra Das, Pradipta Maji, and Samiran Chattopadhyay, A Novel Biclustering Algorithm for Discovering Value-Coherent Overlapping ?-Biclusters, IEEE Proceedings of 16th International Conference on Advanced Computing and Communication (ADCOM-08), India, pp. 148--156, December 14-17, 2008.

Chandra Das and Pradipta Maji, Prediction of Protein Functional Sites Using Novel String Kernels, IEEE Proceedings of International Conference on Information Technology (ICIT-08), India, pp. 127--130, April 21-24, 2008.

Chandra Das, Shilpi Bose, Sourav Dutta, Kuntal Ghosh, Samiran Chattopadhyay,” New Hybrid Gene Selection-Sample Classification Method in Microarray Data, Handbook of Research on Engineering Innovations and Technology Management in Organizations, IGI GLOBAL, 2020.

Chandra Das and Pradipta Maji, “Selection of Protein Functional Site Identification”, Breakthroughs in Software Science and Computational Intelligence, IGI GLOBAL, 2012.