Dr. Anupam Biswas

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Dr. Anupam Biswas
Designation: Assistant Professor
Department: Computer Science and Engineering
Email: anupam[at]cse.nits.ac.in | abanumail[at]gmail.com
Date of Joining: 05/07/2018
Personal Web Page: https://sites.google.com/site/sbanupambs/home
Institute Web Page: http://cs.nits.ac.in/anupam

Position Open: Research Internship under SERB-DST sponsored research project

ACADEMIC QUALIFICATIONS 

  • Ph.D., Indian Institute of Technology (BHU) Varanasi
  • M. Tech., Motilal Nehru National Institute of Technology Allahabad
  • B. E., Jorhat Engineering College

TEACHING EXPERIENCE

  • Assistant Professor, National Institute of Technology Silchar (July 2018 – Now)
  • Assistant Professor, National Institute of Technology Rourkela (May 2018 – July 2018)
  • Assistant Professor, National Institute of Technology Patna (March 2017 – February 2018)

PROFESSIONAL AND ADMINISTRATIVE EXPERIENCE

  • Publicity Chair, International Conference On Big Data, Machine Learning and Applications (BigDML 2021), December 19-20, 2021. (Website http://bigdml.nits.ac.in/)
  • General Chair, 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020), October 8-9, 2020. (Website http://frsm2020.nits.ac.in)
  • Program Chair, International Conference On Big Data, Machine Learning and Applications (BigDML 2019), December 16-19, 2019. (Website http://bigdml.nits.ac.in/)
  • Session Co-chair, International Conference on Modeling, Simulation and Optimization 2020 (CoMSO 2020), 3–5 August 2020, Silchar, Assam, India.
  • Session Chair, IEEE 2021 The International Conference for Intelligent Technologies, (IEEE CONIT2021), 25-27 June 2021, Hubballi, Kartakata , India.
  • Member, Departmental PhD Monitoring Committee (DPMC), NIT Silchar

EDITED BOOKS

SpringerBookFRSM2020 SNA-BookCover SpringerBookHealthInformatics

Ongoing Book Projects

AREA OF INTEREST AND SPECIALISATION 

  • Technologies – Machine Learning, Deep Learning and Optimization Techniques
  • Data – Graph, Text, Audio and Image.
  • Applications – Social Networks, Social Media, and Computational Music.
  • Problems – Classification, Clustering, Information Retrieval, Social Media Security, Text Summarization, Image Captioning

 

 

 INVITED TALKS

  • Expert Talk- titled “Community Detection in Social Networks” at One Week Virtual Faculty Development Programme (FDP) on “Communication Networks and Machine Learning”, organized by Department of Computer Science & Engineering, IIIT Bhagalpur, Bihar, during 18th-22nd January, 2021. Talk delivered on 19 January 2021.
  • Invited Talk- titled “Social Media Influence and Identification of Communities in Social Networks” at AICTE (All India Council for Technical Education) sponsored five-days online Faculty Development Programme (FDP) on “Recent Advances of NLP using Deep Learning” (NLP-DL-2021) organized by Department of Computer Science & Engineering, NIT Silchar during 8-12 March, 2021. Talk delivered on 12 Mar 2021.

 

 

 RESEARCH PROJECTS

Sl No Role Name of the Project Sponsor  Date   Duration       Place      Amount Status
 1. Principal Investigator Leveraging Machine Learning and Soft Computing Techniques to Investigate Raag Formation in Indian Classical Music SERB-DST,  Govt. of India 2019-2022 Three Years  NIT Silchar  Rs. 24,68,400    Ongoing
 2. Principal Investigator Optimal Solution Evaluation SERB-DST,  Govt. of India 2019-2022 Three Years NIT Silchar Rs. 23,36,500 Ongoing

 

RESEARCH COLLABORATIONS (Personal Level or Research Projects)

  • Utrecht University, Netherlands
  • University of Novi-sad, Serbia
  • INRIA, France
  • Institute of Technology of Cambodia (ITC), Cambodia
  • University of Pernambuco, Brazil
  • Torrens University, Australia
  • Kyungpook National University, South Korea
  • National University of Kaohsiung, Hong Kong
  • University of Bologna, Italy
  • Polish-Japanese Academy of Information Technology, Poland
  • University of KwaZulu-Natal, South Africa
  • Università Campus Bio-Medico di Roma, Italy
  • Ajou University, South Korea
  • UIN Sunan Gunung Djati Bandung, Indonesia
  • Pamukkale University, Turkey

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

 

 STUDENTS WORKED WITH ME  (ASSISTED or GUIDED)

  • PHD STUDENTS

    • Soumita Das, PhD Research Domain: Social Network Analysis [Supervisor, On going]
    • Ravi Kishore Devrapalli, PhD Research Domain: Rumors in Social Network [Supervisor, On going]
    • Ranjeet Kumar, PhD Research Domain: Melody Extraction and Transcription from Music [Supervisor, On going]
    • Saifuddin Ahmed, PhD Research Domain: Social Media Image Processing [Supervisor, On going]
    • Deepali Jain, PhD Research Domain: Legal Document Summarization [Co-Supervisor, On going]
    • Abhilash Chakraborty, PhD Research Domain: Social Media & Cyber Security [Supervisor, On going]
  • JRF-cum-PHD STUDENTS (through sponsored research projects)

    • Yeshwant Singh, PhD Research Domain: Application of Machine Learning and Soft Computing in Indian Classical [Project Title: Leveraging Machine Learning and Soft Computing Techniques to Investigate Raag Formation in Indian Classical Music, Project Sponsor: DST-SERB, Govt. of India]
    • Debojyoti Sarkar, PhD Research Domain: Nature-inspired Optimization Techniques and their Evaluation [Project Title: Optimal Solution Evaluation, Project Sponsor: DST-SERB, Govt. of India]
  • M-TECH STUDENTS

    • Thounaojam Chinglemba, MTech Research Domain: Evolutionary Deep Learning,(NIT Silchar, 2021-22) [Supervisor, On going, Research Papers: 01 book chapter communicated]
    • Rohit Kushwaha, MTech Thesis: AI-Based Automatic Image Captioning, (NIT Silchar, 2020-21) [Supervisor, Completed, Research Papers: 01 Conference Paper]
    • Abhijit Das, MTech Thesis Title: Rumour Source Identification on Social Networks, (NIT Silchar, 2019-20) [Supervisor, Completed, Research Papers: 01 Conference Paper]
    • Sakshi Kahandelwal, MTech Thesis Title: Community Detection in Networks using Atom Stabilization Algorithm and Studies, (IIT-BHU Varanasi, 2016, Assisted) [Research Papers: 01 International Conference]
  • B-TECH STUDENTS

    • Mainak Deb, Samiksha Kulkarni, Krishna Yelleti, Soujanya Biswas, and Viveka Meena, BTech Thesis Title: Evolutionary Deep Learning Models for Raag Classification, BTech (CSE), 7th&8th Semester (NIT Silchar, 2021-22, On-going, Supervisor) [Research Papers: 02 Book Chapters]
    • Angshuman Bora, Debashish Malakar, Subham Chakraborty and Suman Bera, BTech Thesis Title: Multitasking Model with Efficient Image Encoding Layer and Enhanced Parallel Convolution Block, BTech (CSE), 7th&8th Semester (NIT Silchar, 2020-21, Completed, Supervisor) [Research Papers: 01 International Conference]
    • Dhananjay Mishra, Dipjul Rahman, Bishal Kahar and SNG Mowarngam, BTech Thesis Title: Content-based Music Retrieval System, BTech (CSE), 7th&8th Semester (NIT Silchar, 2019-20, Completed, Supervisor)
    • Sutanay Bhattacharjee, Rahul Kumar Rai, Tirtha Chetry and Surajit Dey, BTech Thesis Title: Generation of Complete Conjugate Phrases in Indian Classical Music, BTech (CSE), 7th Semester (NIT Silchar, 2018, Completed, Co-supervisor)
    • Govind Agarwal and Santosh Kumar Chourasia, BTech Thesis Title: Community Detection using Physics-inspired Optimization Algorithms, (IIT-BHU Varanasi, 2016, Assisted) [Research Papers: 01 International Conference]
    • Gourav Arora, Gaurav Tiwari, Srijan Khare and Vyankatesh Agrawal, BTech Thesis Title: Community Detection using Agglomerative Algorithms, (IIT-BHU Varanasi, 2015, Assisted) [Research Papers: 01 Book Chapter in Springer]
    • Pawan Gupta and Mradul Modi, BTech Thesis Title: An Empirical Study of Some Particle Swarm Optimizer Variants for Community Detection, (IIT-BHU Varanasi, 2014, Assisted) [Research Papers: 02 International Conference, including one Best Paper Award]
  • BTech Students Engaged in Research Projects
    • Sayandeep Roy, BTech 2nd Sem (ECE), 2019 (Involved in Raag Analysis for the research project on Indian Classical Music) [Research Papers: One Conference Paper]
  • Internal Summer Research Interns
    • Anil Thapa, BTech, 3rd year, CSE Dept, NIT Silchar(Topic: Social Network Analysis, duration 2 Months, May-July 2021)
    • Sahaj Pratap Singh, BTech, 3rd year, CSE Dept, NIT Silchar (Topic: Deep Learning and Music, duration 2 Months, May-July 2021)
  • External Research Interns
    • Barsha Chetri, from Jorhat Engineering College, Assam (Project Title: Identifying Single Contagion Source using Partial Timestamps”, duration 2 Months), July-Sep 2020.
    • Nilima Mishra, from International Institute of Information Technology Bhubaneshwar, Odisha (Topic: Evolutionary Deep Learning, duration 4 Months), Dec 2020-Mar 2021. [Research Papers: One International Conference Paper]
    • Ayan Chakraborty, from Tezpur University, Assam (Topic: Deep Learning and Optimization, duration 2 Months, May-July 2021) [Research Papers: One Book Chapter]

 

Note for NIT Silchar Students: I am looking for BTech any semester,  MTech any semester, and Ph.D. students of NIT Silchar to do research work on Social Network Analysis,  Deep Learning, Computational Music and Cyber-physical Computation  with me.

Note for Outside Students: I am looking for Summer Interns, JRFs and PhD Students.

RESEARCH PUBLICATIONS

INTERNATIONAL JOURNAL

  1. Soumita Das and Anupam Biswas, “Deployment of Information Diffusion for Community Detection in Online Social Networks: A Comprehensive Review”, in IEEE Transactions on Computational Social Systems, IEEE, 2021, ISSN: 2329-924X. (ESCI, Scopus, IF 3.29, Accepted)
  2. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “Summarization of Legal Documents: Where are we now and The way forward”, in Computer Science Review, Elsevier, 2021, ISSN: 1574-0137. (SCI, IF 7.707)
  3.  Anupam Biswas and Bhaskar Biswas, “FuzAg: Fuzzy Agglomerative Community Detection by Exploring the Notion of Self-membership”, in IEEE Transactions on Fuzzy Systems (TFS), IEEE, vol. 26, no. 5, pp. 2568-2577, Oct. 2018, ISSN: 1063-6706. (SCI, IF 12.029)
  4. Anupam Biswas and Bhaskar Biswas, “Analyzing Evolutionary Optimization and Community Detection Algorithms using Regression Line Dominance”, in Information Sciences, Elsevier, vol. 396, pp. 185-201, 2017, ISSN: 0020-0255. (SCI, IF 6.795)
  5. Anupam Biswas and Bhaskar Biswas, “Defining Quality Metrics for Graph Clustering Evaluation”, in Expert Systems with Applications (ESWA), Elsevier, vol. 71, pp.1-17, 2017, ISSN: 0957-4174. (SCI, IF 6.954)
  6. Anupam Biswas and Bhaskar Biswas, “Regression Line Shifting Mechanism for Analyzing Evolutionary Optimization Algorithms”, in Soft Computing (SOCO), Springer,  vol. 21, no. 21, pp. 6237-6252, 2017, ISSN: 1432-7643. (SCI, IF 3.643)
  7. Anupam Biswas and Bhaskar Biswas, “Investigating Community Structure in Perspective of Ego Network”, in Expert Systems with Applications (ESWA), Elsevier, vol. 42, no. 20, pp. 6913-6934, 2015, ISSN: 0957-4174. (SCI, IF 6.954)
  8. Anupam Biswas and Bhaskar Biswas, “Community-based Link Prediction”, in Multimedia Tools and Applications, Springer, vol. 76, no. 18, pp. 18619–18639, 2017, ISSN: 1380-7501. (SCI, IF 2.757)
  9. Anupam Biswas, “Atom Stabilization Algorithm and its Real Life Applications” in Journal of Intelligence and Fuzzy Systems (JIFS), IOS Press, vol. 30, no. 4, pp. 2189-2201, 2016, ISSN: 1064-1246. (SCI, IF 1.851)
  10. Anupam Biswas, B. Biswas, A. Kumar and K. K. Mishra, “Particle Swarm Optimization with Time Varying Cognitive Avoidance Component”, in International Journal of Computational Science and Engineering, Special Issue on Swarm and Artificial Intelligence, InderScience, vol. 16, no. 1, pp. 27-41, 2018, ISSN: 1742-7185. (ESCI, Scopus)
  11. Anupam Biswas, K. K. Mishra, Shailesh Tiwari and A. K. Misra, “Physics-inspired Optimization Algorithms: A Survey” in Journal of Optimization, vol. 2013, Article ID 438152, 16 pages, 2013. (ESCI)

INTERNATIONAL CONFERENCE

  1. Debojyoti Sarkar and Anupam Biswas, “Comparative Performance Analysis of Recent Evolutionary Algorithms”, in 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), June 25 – 26, 2021, Mizoram, India.
  2. Yeshwant Singh and Anupam Biswas, “Swaragram based Residual Neural Architecture for Raag Identification in Indian Classical Music”, in 12th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2021), 6-8 July 2021, Kharagpur, India.
  3. Rohit Kushwaha and Anupam Biswas, “Hybrid Feature and Sequence Extractor based Deep Learning Model for Image Caption Generation”, in 12th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2021), 6-8 July 2021, Kharagpur, India.
  4. Soumita Das and Anupam Biswas, “Community Detection in Social Networks using Local Topology and Information Exchange”, in IEEE International Conference on Intelligent Technologies (IEEE CONIT 2021), 25-27 June 2021, Hyderabad, India.
  5. Ravi Kishore Devarapalli and Anupam Biswas, “Locating the Rumor Source in Social Networks using Timestamps”, in 5th International Conference on Computer, Communication, and Signal Processing (ICCCSP 2021), 24-25 May 2021, Chennai, India.
  6. Anupam Biswas, Angshuman Bora, Debashish Malakar, Subham Chakraborty, and Suman Bera, “Multitask Deep Learning Model with Efficient Encoding Layer and Enhanced Parallel Convolution Block”, in 7th International Conference on Mathematics and Computing (ICMC 2021), 02-05 Mar. 2021, Shibpur, India.
  7. Debojyoti Sarkar, Nilima Mishra and Anupam Biswas, “Genetic Algorithm based Deep Learning Models: A Design Perspective”, in 7th International Conference on Mathematics and Computing (ICMC 2021), 02-05 Mar. 2021, Shibpur, India.
  8. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “Automatic Summarization of Legal Bills: A Comparative Analysis of Classical Extractive Approaches”, in International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021), 19-20 Feb. 2021, Greater Noida, India.
  9. Ravi Kishore Devarapalli and Anupam Biswas, “An Approach to Analyze Rumor Spreading in Social Networks”, in 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020), 16-18 Dec. 2020, Silchar, India.
  10. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach”, in the 12th meeting of Forum for Information Retrieval Evaluation (FIRE 2020), December 16–20, 2020, Hyderabad, India.
  11. Yeshwant Singh, Ranjeet Kumar and Anupam Biswas, “Swaragram: Shruti based Chromagram for Indian Classical Music”, in 25th International Symposium in Frontiers of Research on Speech and Music (FRSM 2020), 8-9 Oct. 2020, Silchar, India.
  12. Abhijit Das and Anupam Biswas, “Rumor Source Identification on Social Networks: A Combined Network Centrality Approach”, in 5th International Conference on Advanced Computing and Intelligent Engineering, 25-27 Jun 2020, Mauritius.
  13. Anupam Biswas, Apoorv Singh and Sayandeep Roy, “Note Repositioning Algorithm for Musical Instruments in Indian Classical Music”, in 24th International Symposium in Frontiers of Research on Speech and Music (FRSM 2019), 6-7 Jul. 2019, Kanpur, India.
  14. Ranjeet Kumar, Anupam Biswas and Pinky Roy, “Melody Extraction from Polyphonic Music using Deep Neural Network: A Literature Survey”, in 24th International Symposium in Frontiers of Research on Speech and Music (FRSM 2019), 6-7 Jul. 2019, Kanpur, India.
  15. Rahul C. Kushwaha, Achintya Singhal and Anupam Biswas,  “E-Textbook Enrichment using Graph Based E-Content Recommendation”,  1st International Conference on Intelligent Computing (ICIC 2018), Oct. 25 – 27, 2018, Bengaluru.
  16. Anupam Biswas, Shakshi Khandelwal and Bhaskar Biswas, “Community Detection in Networks using Atom Stabilization Algorithm” in 2017 IEEE 4th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2017), Nov. 23-24, 2017, Mauritius.
  17. Anupam Biswas and Bhaskar Biswas, “A Framework for Analyzing Community Detection Algorithms”, in 2016 IEEE Students’ Technology Symposium (TechSym 2016), 30 Sep.-2 Oct. 2016, pp. 61-66, Kharagpur, India.
  18. Anupam Biswas, Bhaskar Biswas and K. K. Mishra, “An Atomic Model Based Optimization Algorithm”, in 2nd International Conference on Computational Intelligence & Networks (CINE 2016), 11 Jan. 2016, pp. 63-68, Bhubaneswar.
  19. Anupam Biswas and Bhaskar Biswas, “Visual Analysis of Evolutionary Optimization Algorithms”, in  II International Symposium on Computational and Business Intelligence, ISCBI 2014, 7-8 Dec. 2014, pp. 81-84, New Delhi.
  20. Anupam Biswas, Pawan Gupta, Mradul Modi and Bhaskar Biswas, “An Empirical Study of Some Particle Swarm Optimizer Variants for Community Detection”, in Third International Symposium on Intelligent Informatics (ISI’14), 24-27 September 2014, pp 511-520, Delhi, India.
  21. Anupam Biswas, Pawan Gupta, Mradul Modi and Bhaskar Biswas, “Community Detection in Multiple Featured Social Network using Swarm Intelligence”, in International Conference on Communication and Computing (ICC-2014), 12-14 June 2014, Bangalore, India. (Best Paper Award)
  22. Anupam Biswas, Anoj Kumar and K. K. Mishra, “Particle Swarm Optimization with Cognitive Avoidance Component”, in 2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), 22-25 Aug. 2013, pp. 149-154, Mysore, India.
  23. Anupam Biswas, A. V. Lakra, Sharad Kumar and Avjeet Singh, “An Improved  Random Inertia Weighted Particle Swarm Optimization” , in 2013 International Symposium on Computational and Business Intelligence (ISCBI 2013), 24-26 Aug. 2013, pp. 96-99, New Delhi.
  24. Anupam Biswas, “An Approach to Adaptive Locality Based Maintenance of Correlated Data”, in 3rd International Conference on Computer and Communication Technology, pp.38-45, 23-25 Nov. 2012, Allahabad.

BOOK CHAPTERS

  1. Anupam Biswas and Bhaskar Biswas, “CESDAM: Centered Subgraph Data Matrix for Large Graph Representation”, in “Principles of Big Graph: In-depth Insight” Book series “Advances in Computers”, Elsevier, 2021. (SCI, Accepted)
  2. Ravi Kishore Devarapalli and Anupam Biswas, “Processing Large Graphs with an Alternative Representation”, in “Principles of Big Graph: In-depth Insight” Book series “Advances in Computers”, Elsevier, 2021. (SCI, Accepted)
  3. Soumita Das and Anupam Biswas, “Analyzing Correlation between Quality and Accuracy of Graph Clustering”, in “Principles of Big Graph: In-depth Insight” Book series “Advances in Computers”, Elsevier, 2021. (SCI, Accepted)
  4. Soumita Das and Anupam Biswas, “Community Detection in Multidimensional and Multilayer Networks”, in “Principles of Social Networking: The New Horizon and Emerging Challenges” Book series “Smart Innovation, Systems and Technologies (SIST)”, Ch. 7, pp. 137-159, Springer Nature, 2021. 
  5. Debojyoti Sarkar and Anupam Biswas, “Introduction To Optimization In Manufacturing Operations”, in “Numerical Modelling and Optimization in Advanced Manufacturing Processes” Book series “Materials Forming, Machining and Tribology”, Springer Nature, 2021. (Accepted)
  6. Ravi Kishore Devarapalli and Anupam Biswas, “Rumor Detection and Tracing its Source to Prevent Cybercrimes on Social Media”, in “Intelligent data analytics for terror threat prediction: Architectures, methodologies, techniques and applications”, ch. 1, pp. 1-30, Wiley-Scrivener publication, USA, 2021.
  7. Ranjeet Kumar, Anupam Biswas and Pinky Roy, “Melody Extraction from Music: A Comprehensive Study”, in Applications of Machine Learning, pp. 141-155. Springer, Singapore, 2020.
  8. Anupam Biswas and Bhaskar Biswas, “Swarm Intelligence Techniques and Their Adaptive Nature with Applications” , in “Complex system modeling and control through intelligent soft computations” vol 219, ch. 9, pp. 253-271, 2014, by: Studies in Fuzziness and Soft Computing, Springer-Verlag, Germany.
  9.  Anupam Biswas, Gourav Arora, Gaurav Tiwari, Srijan Khare,  Vyankatesh Agrawal and Bhaskar Biswas, “Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios” in “Data Science and Big Data Computing: Frameworks and Methodologies”, ch. 3, pp. 57-78, 2016, Springer-Verlag, Germany.
  10. Abhishek Garg, Anupam Biswas and Bhaskar Biswas, “Evolutionary Computation Techniques for Community Detection in Social Network Analysis”, in “Advanced Methods for Complex Network Analysis”, ch. 11, pp. 271-289, 2016, IGI Global, USA.

REVIEWER

  • IEEE Transactions on Fuzzy Systems (TFS)
  • IEEE Transactions on Evolutionary Computation (IEEE-TEVC)
  • IEEE Systems Journal (IEEE-SJ)
  • IEEE Transactions on Systems, Man and Cybernatics: System (IEEE TSMC)
  • Applied Soft Computing (ASOC)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • Physica A: Statistical Mechanics and its Applications
  • Information Sciences

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