Dr. Swarup Roy (On Lien to Sikkim University)

Information Technology Department

Designation: Assistant Professor

Qualifications:

  • Post Doc (Univ. of Colorado at CS, USA)
  • Post Doc (IIT, Guwahati)
  • Ph.D.(Computer Sc. & Engg.),
  • M.Tech (Information Technology)

Home Page https://sites.google.com/site/swarupnehu/

Area of Interest

Data mining, Computational Biology, Soft-computing, Machine learning

Teaching Experience

Total 11+ years of teaching experience. Short experience to teach graduate and post graduate class at University of Colorado at Colorado Spring, USA. Worked as a lecturer in the Department of Computer Engineering, Sikkim Manipal Institute of Technology, Sikkim, prior to join NEHU.

Awards:

  • Recipient of Best Doctoral Thesis award from IIT-Roorkee during Intl. Conf. SocProS2013.
  • Recipient of  University Gold Medal for securing first position in M.Tech. degree examination.
  • Overseas Fellowship 2015-2016 to visit foreign laboratory from DBT, Govt of India.
  • DST, Govt of India, sponsored the tour to visit San Sebastian, Spain for attending KES 2012.
  • International Research Collaboration with University of Cantanzaro, Italy, University of Trieste and ICAR-CNR, Trieste, Italy, University of Colorado at Colorado Spring, USA.
  • Reviewer of various International Journals including IEEE/ACM Trans. on Computational Biology & Bioinformatics,  Elsevier-Computer Methods and Programs in Biomedicine, Springer- Network Modeling Analysis in Health Informatics and Bioinformatics, PLOS Computational Biology, BMC- System Biology, BMC-Bioinformatics, Springer Plus.

Research Projects

  • DIT- Ministry of Comm. & IT sponsored project titled: “Development of variable key cryptosystem”. (Role: Co-investigator; Amount: Rs 23.84 lacs)  Duration: 2 Years, Status: Ongoing.
  • Worked on a project “A Statistical Approach to Recognize Bangla Hand Printed Characters” at CVPR Unit, Indian Statistical Institute (ISI), Kolkata.

Publications

A. Books

  1. Data Mining Techniques and its Application in Medical Imagery, (Co-author: D K Bhattacharyya) VDM Verleg Dr Muller, Aktiengesellschaft & Co. KGGermany, ISBN: 978-3-639-26746-4, 2010.

B. International Journals

  1. H Kashyap, H A Ahmed, N Hoque, S Roy, and D K Bhattacharyya. "Big Data Analytics in Bioinformatics: Architectures, Techniques, Tools and Issues", Network Modeling Analysis in Health Informatics and Bioinformatics (Springer Nature), Vol. 5  , No. 28, 2016, DOI 10.1007/s13721-016-0135-4.
  2. S Roy, and Pietro Hiram Guzzi. "Biological Network Inference from Microarray Data, Current Solutions, and Assessments." Methods in Molecular Biology (Protocol series) (Clifton, NJ), (Springer) (2015). [IF 1.29]
  3. P Sharma, H A Ahmed, S Roy & D K Bhattacharyya, “Detecting protein complexes using connectivity among nodes in a PPI Network”, Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), Vol. 4, No.35, pp. 1--17 , 2015, DOI: 10.1007/s13721-015-0107-0 .
  4. S Roy, D K. Bhattacharyya, and J K. Kalita. "Analysis of Gene Expression Patterns Using Biclustering." Methods in Molecular Biology (Protocol series)  (Clifton, NJ), (Springer) (2015). [IF 1.29]
  5. P Sharma, H A Ahmed, S Roy & D K Bhattacharyya, “Unsupervised Methods for Finding Protein Complexes from PPI Networks”, Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), Vol. 4, No.1., pp. 1—15, 2015, DOI: 10.1007/s13721-015-0080-7.
  6. S Roy, D K Bhattacharyya & J K Kalita, “Reconstruction of Gene Co-expression Network from Microarray Data Using Local Expression Patterns”, BMC Bioinformatics , Vol. 15 (Suppl 7): S10, (2014).  DOI: 10.1186/1471-2105-15-S7-S10. [IF3.02]
  7. S Roy, D K Bhattacharyya & J K Kalita, “CoBi: Pattern Based Co-Regulated Biclustering of Gene Expression Data”, Pattern Recognition Letters (Elsevier)Vol. 34, No.04, pp. 1669-1678 (2013). [IF: 1.78]
  8. S Roy & D K Bhattacharyya, “Mining Strongly Correlated Item Pairs in Large Transaction Databases”, Intl. Journal of  Data Mining, Modeling and Management (IJDMMM)(Inderscience), Vol. 5, No. 1, pp.76–96, (2013).
  9. M Sora, S Roy & S I Singh, “FLoMSqueezer: An Effective Approach For Clustering Categorical Data Stream”, in the Intl. Journal of Comp. Sc. Issues, Mauritius, ISSN: 1694-0814, vol 8, no 6, pp 284-291, (2011).
  10. S Roy & D K Bhattacharyya, “Extracting Support Based k most Strongly Correlated Item Pairs in Large Transaction Databases”, in the Intl. Journal of Comp. Sc. Issues, Mauritius, ISSN: 1694-0814, vol 7, no 5, pp 102-111, (2010).
  11. S Roy & D K Bhattacharyya, “OPAM: An Efficient One Pass Association Mining Technique without Candidate Generation”, Journal of Convergence Information Technology, AICIT- Korea, ISSN: 1975-9320, Vol 3 -No. 3, pp 32-38, (2008).

C. International/National Conf. Proc.

  1. Keshab Nath, S Roy  &  Sukumar Nandi, “Incremental Approach for Detecting Arbitrary and Embedded Cluster Structures ” In Proc. 6th International Conference on Model and Data Engineering (MEDI 2016),  LNCS (Springer) , pp. 220--233, SPAIN, 2016, DOI:10.1007/978-3-319-45547-1_18 .
  2. H N Manners, M Jha, P H Guzzi, P Veltri & S Roy, “Computational Methods for Detecting Functional Modules from Gene Regulatory Network” In Proc. 2nd  Intl. Conf. on  Information and Communication Technology for Competitive Strategies (ICTCS-2016), ACM , pp., India, 2016.
  3. K Medhi, S S Ahmed, S Roy, D K Bhattacharyya & J K Kalita, “Information Theoretic Approaches for Detecting Causality in Gene Regulatory Networks” In Proc. 2nd  Intl. Conf. on  Information and Communication Technology for Competitive Strategies (ICTCS-2016), ACM , pp., India, 2016.
  4. R Dkhar, K Nath, S Roy, D K Bhattacharyya & S Nandi, “Evaluating the Effectiveness of Soft K-Means in Detecting Overlapping Clusters” In Proc. 2nd  Intl. Conf. on  Information and Communication Technology for Competitive Strategies (ICTCS-2016), ACM , pp., India, 2016.
  5. Pietro H Guzzi, Pierangelo Veltri, S Roy & Jugal K Kalita, “MODULA: A Network Module Based Local Protein Interaction Network Alignment Method” In Proc. IEEE  International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015)IEEE , pp., Washington D.C., USA, 2015.
  6. Pietro H Guzzi, Marianna Milano & S Roy, “Towards the Assessment of GRN Algorithms based on (Disease) Ontology” In Proc. 6th ACM Conf. on  Bioinformatics, Computational Biology and Health Informatics (BCB 2015)ACM , pp. 561--567, Atlanta, GA, USA, 2015.
  7. S Roy & D K Bhattacharyya, “Segmentation of Cortical Gray and While Matters from MRI using Density based Clustering Approach” In Proc. IEEE International Symposium on Advanced Computing and Communication 2015 (ISACC 2015)IEEE Press , pp. 184--188, India, 2015.
  8. D Adhikary & S Roy, “A New Equivalence Class based Approach for Discretizing Quantitative Data using Point Shift Mechanism” In Proc. IEEE International Symposium on Advanced Computing and Communication 2015 (ISACC 2015)IEEE Press , pp. 177--183, India, 2015.
  9. D Adhikary & S Roy, “Issues in Quantitative Association Rule Mining: A Big Data Perspective” In Proc. ICT for Sustainable Development (IC4SD 2015), Advances in Intelligent Systems and Computing, Springer , pp., India, 2015.
  10. D Adhikary & S Roy, “Trends in Quantitative Association Rule Mining Techniques” In Proc. 2nd IEEE Intl Conf. Recent Trends in Information Systems (ReTIS)IEEE Press, pp.126--131, India, 2015.
  11. G Kharumnuid & S Roy, “Tools for in-silico Reconstruction and Visualization of Gene Regulatory Networks (GRN)” In Proc. 2nd IEEE Intl. Conf. on Adv. Computing and Communication Engg. (ICACCE’ 2015)IEEE CS Press,  pp. 421--426, India, 2015.
  12. D Adhikary & S Roy, “Mining Quantitative Association Rules in real-world Databases: A Review” In Proc. Intl Conf. Computing. & Communication (I3CS’15), Vol: I, IGI Global (USA), pp.87--92, India, 2015.
  13. G Kharumnuid & S Roy, “Effectiveness of JavaScript Graph Visualization Libraries in Visualizing Gene Regulatory Networks (GRN)” In Proc. Intl Conf. Computing. & Communication (I3CS’15), Vol: II, IGI Global (USA), pp. 73--78 , 2015.
  14. S Roy,  D Das, D Choudhury, G Gohain, R Sharma & D K Bhattacharyya, “Causality Inference Techniques for In-Silico Gene Regulatory Network”, Intl Conf. on Machine Intelligence & Knowledge Exploration (MIKE)LNAI, Springer Verlag, Vol: 8284, pp. 432--443, India, 2013.
  15. S Roy, D K Bhattacharyya & J K Kalita, “A New Gene Co-expression Networking Technique for In-silico Expression Data", extended abstract, Proc. of 10th Bioinformatics and Biotechnology Symposium (BIOT 2013), Brigham Young University, USA, December 2013.
  16. S Roy, D K Bhattacharyya & J K Kalita, “Deterministic Approach for Biclustering of Co-Regulated Genes from Gene Expression Data”, In Proc. 16th Intl. Conf Knowledge-Based and Intelligent Information & Engineering Systems (KES 12), FAIA-vol: 243, IOS Press, pp. 490—499, Spain 2012.
  17. S Roy & D K Bhattacharyya, “Reconstruction of Genetic Network in Yeast using Support based Approach”, Intl. Conf. on Trendz in Information System & Computing 2010 (TISC)IEEE, pp -123-128, India, 2010.
  18. S Roy, “AlgoVis: A Tool for Visualizing and Simulation of Data Structure Algorithm”, International Conf. on Computer, Communication, Control & IT , MacMillan Adv. Research Series, ISBN 023-063-759-0, pp 63-68, India, 2009.
  19. S Roy & D K Bhattacharyya, “Efficient Mining of Top-K Strongly Correlated  Item Pairs using One Pass Technique”, 16th International Conf. on Advance Computing and Communication (ADCOM), 2008, IEEE, pp 416-421 [75 out of 310+ papers accepted for publication after 3 blind review]
  20. S Roy & D K Bhattacharyya, “SCOPE: An Efficient One Pass Approach to find Strongly Correlated Item Pairs”, 11th International Conf. on Information Technology, 2008, IEEE-CS Press, pp. 123-126 [accepted for publication after 3 blind review]
  21. S Roy & D K Bhattacharyya, “An Approach to find Embedded Clusters Using Density Based Techniques”, International Conf. on DCIT, 2005, LNCS, Springer Verlag, Vol: 3816, pp 523-535. (Citation: 12, Source: Google Scholar).
  22. S Roy & D K Bhattacharyya, "Frequent Mining: A Selective Survey", National Conference on Trends in Advanced Computing (NCTAC) 2007, Tezpur, India, Narosa, ISBN 81-7319-868-7, pp. 96-105, India , 2007.

D. Book Chapters

  1. S Roy & D K Bhattacharyya, “Finding Gene-Gene Network using Support based Correlation Mining Techniques”, NWDAA ’10, (Algorithms in Its Application; D K Bhattacharyya & Dr Utpal Sharma (Eds.) published by Narosa Pvt Ltd., New Delhi ), ISBN No 978-81-8487-082-4, pp. 134-140, India 2010.
  2. S Roy & D K Bhattacharyya, "Data Mining Technique: A Review", in the Proceedings of NWTA (Networks, Data Mining and Artificial Intelligence: Trends and Future Directions; D K Bhattacharyya & S M Hazarika (Eds.) published by Narosa), ISBN 81-7319-755-5, pp. 139-152 , Tezpur, India, 2006.
  3. S K Sinha, M Handique & S Roy, “Regular Role: A Formal Model of Roles", in the Proceedings of NWTA (Networks, Data Mining and Artificial Intelligence: Trends and Future Directions; D K Bhattacharyya & S M Hazarika (Eds.) published by Narosa), ISBN 81-7319-755-5, pp. 193-201, Tezpur, India, 2006.