Dr. Anupam Biswas

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Dr. Anupam Biswas
Designation: Assistant Professor Grade-I
Department: Computer Science and Engineering
Email: anupam[at]cse.nits.ac.in | abanumail[at]gmail.com
Date of Joining: 05/07/2018

Qualifications:

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

 

Personal Web Page: https://sites.google.com/site/sbanupambs/home

News: We are developing a new high level descriptive programming language called Sankalpan (संकल्पन) based on Sanskrit language.  Research internship positions are open for the students specially who know Sanskrit along with C and Python programing.

AREA OF INTEREST AND SPECIALISATION 

  • Machine Learning
  • Deep Learning
  • Optimization Techniques
  • Social Network Analysis
  • Music Information Retrieval
  • Sanskrit-based Technologies

SHORT BIOGRAPGHY

Dr. Anupam Biswas received his Ph.D. degree in computer science and engineering from Indian Institute of Technology (BHU), Varanasi, India in 2017. He has received his M. Tech. and B. E. Degree in computer science and engineering from Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India in 2013 and Jorhat Engineering College, Jorhat, Assam in 2011 respectively. He is currently working as an Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology Silchar, Assam. He has published several research papers in reputed international journals, conference and book chapters. His research interests include Machine learning, Social Networks, Computational music, Information retrieval, and Evolutionary computation. He has successfully completed Principal Investigator of two DST-SERB sponsored research projects in the domain of machine learning and evolutionary computation. Currectly, he is executing three sponsored research projects (one as PI and two as Co-PI) in the domain of AI/DL and Quantum Machine Learning. He has served as Program Chair of International Conference on Big Data, Machine Learning and Applications (BigDML 2019) and currently serving as Publicity Chair of BigDML 2021. He has served as General Chair of 25th International Symposium Frontiers of Research in Speech and Music (FRSM 2020) and co-edited the proceedings of FRSM 2020 published as book volume in Springer AISC Series. He has edited nine books that are published by various book Series of Springer and Elsevier.

 SPONSORED RESEARCH PROJECTS

  1. Project Title-Leveraging Machine Learning and Soft Computing Techniques to Investigate Raag Formation in Indian Classical Music
    • Role- Principal Investigator
    • Sponsor- DST-SERB
    • Duration- Three Years (2019-2022)
    • Amount- Rs. 24,68,400
    • Status- Completed
  2. Project Title-Optimal Solution Evaluation
    • Role- Principal Investigator
    • Sponsor- DST-SERB
    • Duration- Three Years (2019-2022)
    • Amount- Rs. 23,36,500
    • Status- Ongoing
  3. Project Title-DST- Centre for Learning Science and Technology
    • Role- Co-Principal Investigator
    • Sponsor- DST
    • Duration- Three Years (2022-2024)
    • Amount- Rs. 1,00,00,000
    • Status- Ongoing
  4. Project Title-Ultrasound Image-based Breast Cancer Prediction and Detection using Deep Learning Computational Techniques
    • Role- Co-Principal Investigator
    • Sponsor- DST-SERB
    • Duration- Three Years (2022-2024)
    • Amount- Rs. 30,00,000
    • Status- Ongoing
  5. Project Title-Quantum Machine Learning for Social Network Analysis Applications
    • Role- Principal Investigator
    • Sponsor- MeitY
    • Duration- Two Years (2023-2025)
    • Amount- USD. 30,000
    • Status- Ongoing

 PATENTS

  1. Anupam Biswas, “A processing system for maintaining correlated data by performing operations in the local search space (EIN VERARBEITUNGSSYSTEM ZUR AUFRECHTERHALTUNG KORRELIERTER DATEN DURCH DURCHFÜHRUNG VON OPERATIONEN IM LOKALEN SUCHRAUM)”, Germany Patent, Status: Granted, File Number: 202022100197.9.
  2. Anupam Biswas, “AN AUTOMATIC METHOD FOR REPOSITIONING DEFORMED NOTE OF MUSICAL INSTRUMENTS IN CLASSICAL MUSIC”, South African Patent, Status: Granted, File Number: 2022/00147.
  3. Anupam Biswas, “A cloud-based graph computation system (EIN WOLKENBASIERTES SYSTEM ZUR GRAPHENBERECHNUNG)”, Germany Patent, Status: Granted, File Number: 202022100198.7.
  4. Anupam Biswas and Yeshwant Singh, “A MELODY CLASSIFICATION SYSTEM USING SWARAGRAM REPRESENTATION (EIN SYSTEM ZUR KLASSIFIZIERUNG VON MELODIEN MITTELS SWARAGRAMMDARSTELLUNG)”, Germany Patent, Status: Published, File Number: 202022100306.8.
  5. Anupam Biswas and Yeshwant Singh, “A neural network system for classifying music genres on the Basis of an evolutionary stochastic hyperparameter selection (Ein neuronales Netzwerksystem zur Klassifizierung von Musikgenres auf der Grundlage einer evolutionären stochastischen Hyperparameterauswahl)”, Germany Patent, Status: Granted, File Number: 202022105338.3.
  6. Anupam Biswas, “A Direct Comparison Based System for Analyzing Evolutionary Optimization Algorithms (Ein auf direktem Vergleich basierendes System zur Analyze von evolutionären Optimierungsalgorithmen)”, Germany Patent, Status: Granted, File Number: 202022106313.3.
  7. Anupam Biswas and Ravikishore Devarapalli, “A SYSTEM FOR LOCATING RUMOR SOURCE IN SOCIAL NETWORKS”, Indian Patent, Status: Published, File Number: 202331013786.

PUBLISHED BOOKS

AI-SocietalIssues-BookCover SwarmIntelligenceBookCover SocialMediaBookCover SNA-BookCover
SpeechMusicCover SpringerBookHealthInformatics SpringerBookFRSM2020 BigGraphBook

Ongoing Books

  • Edited Book: Anupam Biswas, Alberto Paolo Tonda, Ripon Patgiri, and Krishn Kumar Mishra, “Applications of Nature-inspired Computing and Optimization Techniques, Elsevier, 2022. (Submission Closed)


 INVITED TALKS

  • Invited Talk- titled “Research Paper Writing:The roadmap” at National Conference on Advances in Computing in Science & Technology” (ACST-2022), organized by Department of Computer Science & Engineering, Rajeev Gandhi University, 24-25 March, 2022. Talk delivered on 25 Mar 2022.
  • 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 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
  • University of Alicante, Spain

PROFESSIONAL AND ADMINISTRATIVE EXPERIENCE

  • Organizing Chair, International Conference on Intelligent Computing Systems and Applications (ICICSA 2022), September 23-24, 2022. (Website http://icicsa.nits.ac.in/)
  • 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, 18th International Conference on Natural Language Processing, (ICON 2021), December 16-19, Silchar, India.
  • 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

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

 

 STUDENTS WORKED WITH ME  (ASSISTED or GUIDED)

  • PHD STUDENTS
    • Completed/Submitted
      • Dr. Yeshwant Singh, PhD Thesis Title: Data-driven Computational Approaches for Indian Classical Music and its Forms, [Supervisor, Awarded, 2023]
      • Deepali Jain, PhD Thesis Title: Development of Summarization Techniques for Legal Documents by Exploring Linguistic and Representation Learning Approaches, [Co-Supervisor, Thesis Submitted]
    • Ongoing
      • Soumita Das, PhD Research Domain: Social Network Analysis [Supervisor, Registration Done]
      • Ravi Kishore Devrapalli, PhD Research Domain: Rumors in Social Network [Supervisor, Registration Done]
      • Ranjeet Kumar, PhD Research Domain: Melody Extraction and Transcription from Music [Supervisor, Registration Done]
      • Saifuddin Ahmed, PhD Research Domain: Image Segmentation and Optimization Techniques [Supervisor, Registration Done]
      • Debojyoti Sarkar, PhD Research Domain: Nature-inspired Optimization Techniques [Supervisor, Registration Done]
      • Abhilash Chakraborty, PhD Research Domain: Social Media & Cyber Security [Supervisor, Comprehensive Done]
      • Begusetty Ajay Ram, PhD Research Domain: Federated Machine Learning [Supervisor, Comprehensive Done]
      • B. Harikrishna Reddy, PhD Research Domain: Machine Learning Cloud Applications [Co-Supervisor, Comprehensive Done]
      • Abhineet Suman, PhD Research Domain: Metaheuristics and Applications [Supervisor, Coursework Done]
  • 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
    • Gautam Agarwal, MTech Research Domain: Knowledge Representation in Sanskrit, (NIT Silchar, 2023-24) [Supervisor, Ongoing]
    • Rajdeep Paul, MTech Thesis Title: Multi-frame Depth Estimation for Autonmous Driving using Self-supervised Learning, (NIT Silchar, 2022-23) [Supervisor, Completed, Research Papers: 02 Conferences]
    • Thounaojam Chinglemba, MTech Thesis Title: Neural Architecture Search using Nature-inspired Algorithm for Image Classification ,(NIT Silchar, 2021-22) [Supervisor, Completed, Research Papers: 01 book chapter]
    • 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]
    • Saketh Angirekula, BTech 5th Sem (CSE), 2021 (Involved in Performace Evaluation of Nature-inspired Optimization Algorithms)
    • Satyam Prasad Deva Sarmah, BTech 5th Sem (CSE), 2021 (Involved in Evolutionary Deep Learning)
    • Arpita Bhattacharjee, BTech 5th Sem (CSE), 2021 (Involved in Information Diffusion based Community Detection)
  • 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. Ravi Kishore Devarapalli and Anupam Biswas, “Estimating rumor source in social networks using incomplete observer information”, in Expert Systems with Applications (ESWA), Elsevier, vol. 249, Part A, 1 September 2024, Article ID 123499, ISSN: 0957-4174. (SCIE, IF 8.5)
  2. Abhilash Chakraborty, Anupam Biswas, and Ajoy Kumar Khan, “SRIJAN: Secure Randomized Internally Joined Adjustable Network for one-way hashing”, in Journal of Information Security and Applications (JISA), Elsevier, vol. 81, March 2024, 103717, ISSN: 2214-2126. (SCIE, IF 5.6)
  3. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “Summarization of Lengthy Legal Documents via Abstractive Dataset Building: An Extract-then-Assign Approach”, in Expert Systems with Applications (ESWA), Elsevier, vol. 237, Part B, 2024, ISSN: 0957-4174, Article ID 121571, https://doi.org/10.1016/j.eswa.2023.121571. (SCIE, IF 8.5)
  4. Soumita Das and Anupam Biswas, “TSInc: Tie Strength based Incremental Community detection using Information Cascades”, in International Journal of Information Technology, Springer, 2024, ISSN 2511-2112. (Scopus, Accepted)
  5. Saifuddin Ahmed and Anupam Biswas, “A Cross Entropy and Whale Optimization Algorithm based Image Segmentation for Aerial Images”, in International Journal of Information Technology, Springer, 2024, ISSN 2511-2112. (Scopus, Accepted)
  6. Saifuddin Ahmed and Anupam Biswas, “An Experimentation of objective functions used for Multilevel Thresholding based Image Segmentation using Particle Swarm
    Optimization”, in International Journal of Information Technology, Springer, 2023, ISSN 2511-2112. (Scopus, Accepted)
  7. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “Bayesian Optimization based Score Fusion of Linguistic Approaches for Improving Legal Document Summarization”, in Knowledge-Based Systems (KBS), Elsevier, vol. 264, 2023, ISSN: 1872-7409. (SCIE, IF 8.139)
  8. Yeshwant Singh and Anupam Biswas, “Lightweight convolutional neural network architecture design for music genre classification using evolutionary stochastic hyperparameter selection”, in Expert Systems, Wiley, vol. , Article id 100462, 2023, ISSN: 1468-0394. https://doi.org/10.1111/exsy.13241. (SCIE, IF 2.812)
  9. Ripon Patgiri, Anupam Biswas, and Sabuzima Nayak,  “deepBF: Malicious URL detection using learned Bloom Filter and evolutionary deep learning”, in Computer Communications, Elsevier, vol. 200, 2023, ISSN: 1873-703X, https://doi.org/10.1016/j.comcom.2022.12.027. (SCIE, IF 5.047)
  10. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “A sentence is known by the company it keeps: Improving Legal Document Summarization using Deep Clustering”, in Artificial Intelligence and Law (ARTI), Springer, vol. , 2023, ISSN: 1572-8382. (SCIE, IF 3.747)
  11. Yeshwant Singh and Anupam Biswas, “Swaragram: A Software Toolbox for Musical Feature of Indian Music”, in Software Impacts, Elsevier, vol. 15, Article id 100462, 2023, ISSN: 2665-9638. https://doi.org/10.1016/j.simpa.2022.100462. (Scopus)
  12. Yeshwant Singh and Anupam Biswas, “Robustness of musical features on deep learning models for music genre classification”, in Expert Systems with Applications (ESWA), Elsevier, vol. 199, Article id 116879, 2022, ISSN: 0957-4174, https://doi.org/10.1016/j.eswa.2022.116879. (SCI, IF 6.954)
  13. 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, vol. 8, no. 5, pp. 1083-1107, Oct. 2021, ISSN: 2329-924X. (SCIE,IF 3.29)
  14. 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)
  15.  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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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. (Scopus)

INTERNATIONAL CONFERENCE

  1. Goutam Agrawal, Rituraj Das, Anupam Biswas and Dalton Meitei Thounaojam, “Neural Machine Translation for English-Manipuri and English-Assamese”, in Proceedings of the Eighth
    Conference on Machine Translation, Dec 06-07, 2023, Singapore.
  2. Om Singh, Anupam Biswas and Raajdeep Paul, “Multi-frame Depth Estimation for Autonomous Driving using Motion Masking and Self-supervised Learning”, in 2nd International Conference on Intelligent Computing Systems and Applications (ICICSA-2023), Sept 22-23, 2023, Silchar, India.
  3. Om Singh, Anupam Biswas and Raajdeep Paul, “AdasInd: A Wide Angle View Fisheye Camera Dataset for Advanced Driving Assistance Systems in Indian Divider-free Roads”, in 5th International Conference on Futuristic Trends in Networks and Computing Technologies (FTNCT 2023), July 29-30, 2023, Chandigar, India.
  4. Soumita Das, Bijita Singha, Alberto Tonda and Anupam Biswas, “Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks”, in 4th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2023), Jan 10-11, 2023, Kathmandu, Nepal.
  5. Soumita Das, Anupam Biswas and Akrati Saxena, “DCC: A Cascade based Approach to Detect Communities in Social Networks”, in 3rd International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2022), Dec 28-29, 2022, Kakinada, India. (Best Paper Award)
  6. Debojyoti Sarkar and Anupam Biswas, “Population Diversity aided Adaptive Cuckoo Search”, in 3rd International Conference on Modeling, Simulation and Optimization 2022 (COMSO 2022), Dec 21-23, 2022, 2022, Silchar, India.
  7. Soumita Das and Anupam Biswas, “Towards Direct Comparison of Community Structures in Social Networks”, in International Conference on Data, Decision and Systems (ICDDS 2022), Dec 2-3, 2022, Banglore, India.
  8. Yeshwant Singh, Shuvraneel Roy, Yash Tripathi and Anupam Biswas, “Augmented sequence modeling using Variational Autoencoder for landmark detection in Indian Classical Music”, in In the proceeding of IEEE SILCON-2022, Nov 4-6, 2022, Silchar, India.
  9. Soumita Das and Anupam Biswas, “The Ties that matter: From the perspective of Similarity Measure in Online Social Networks”, in 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2021), Dec 11-12, 2021, Raipur, India. (Best Paper Award)
  10. Yeshwant Singh and Anupam Biswas, “Deep learning based Tonic identification in Indian Classical Music”, in 5th Conference on Information and Communication Technology-2021 (CICT-2021), Dec 10-12, 2021, Kurnool, India.
  11. Soumita Das, Anupam Biswas, and Ravi Kishore Devarapalli, “Beyond Information Exchange: An Approach to Deploy Network Properties for Information Diffusion”, in 2nd International Conference On Big Data, Machine Learning and Applications (BigDML 2021), Dec 19-20, 2021, Silchar, India.
  12. Deepali Jain, Malaya Dutta Borah and Anupam Biswas, “Summarization of Indian Legal Judgement Documents via Ensembling of Contextual Embedding based MLP Models”, in 13th meeting of Forum for Information Retrieval Evaluation (FIRE 2021), Dec 13- 17, 2021, Kolkata, India.
  13. Saifuddin Ahmed and Anupam Biswas, “A Survey on Multilevel Thresholding based Image Segmentation Techniques”, in 4th International Conference on Futuristic Trends in Networks and Computing Technologies (FTNCT 2021), Dec 10 – 11, 2021, Ahmedabad, India.
  14. Deepali Jain, Malaya Dutta Borah and Anupam Biswas, “CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills”, in 18th International Conference on Natural Language Processing (ICON 2021), Dec 16- 19 , 2021, Silchar, India.
  15. Yeshwant Singh and Anupam Biswas, “Multitask Learning based Deep Learning Model for Music Artist and Language Recognition”, in 18th International Conference on Natural Language Processing (ICON 2021) co-located event Speech and Music Processing Workshop, Dec 16- 19 , 2021, Silchar, India.
  16. Ranjeet Kumar, Yeshwant Singh, Pinki Roy and Anupam Biswas, “Comparative Analysis of Melodia and Time-Domain Adaptive Filtering based Model for Melody Extraction from Polyphonic Music”, in 18th International Conference on Natural Language Processing (ICON 2021) co-located event Speech and Music Processing Workshop, Dec 16- 19 , 2021, Silchar, India.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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)
  38. 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.
  39. 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.
  40. 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. Yeshwant Singh and Anupam Biswas, “Computational Approaches for Indian Classical Music: A Comprehensive Review”, in “Advances in Speech and Music Technology: Computational Aspects and Applications” in Book series “Signal and Communication Technology”, Springer, 2021. (Accepted)
  2. Ayan Chakraborty and Anupam Biswas, “Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection”, in “Combating Fake News with Computational Intelligence Techniques” in Book series “Studies in Computational Intelligence”, Springer, 2021. (Accepted)
  3. Yeshwant Singh, Anupam Biswas, Angshuman Bora, Debashish Malakar, Subham Chakraborty, and Suman Bera, “Design Perspectives of Multitask Deep Learning Models and Applications”, in “Applications based Understanding of Machine and Deep Learning Algorithms for Signal and Image Processing” , Wiley-IEEE Press, 2021. (Accepted)
  4. Mainak Deb, Chaitanya Yelleti, Samiksha Kulkarni, Yeshwant Singh and Anupam Biswas, “Nature-inspired Optimization Techniques for Deep Learning: Concepts, Adaptations and Challenges”, in “Applied Nature-inspired Optimization Techniques” in Book series “Advances in Computers”, Elsevier, 2021. (SCI, Accepted)
  5. Anupam Biswas and Bhaskar Biswas, “CESDAM: Centered Subgraph Data Matrix for Large Graph Representation”, in “Principles of Big Graph: In-depth Insight”, “Advances in Computers”, Elsevier, vol. 129, 2022. (SCI)
  6. Ravi Kishore Devarapalli and Anupam Biswas, “Processing Large Graphs with an Alternative Representation”, in “Principles of Big Graph: In-depth Insight”,”Advances in Computers”, Elsevier, vol. 129, 2022. (SCI)
  7. Soumita Das and Anupam Biswas, “Analyzing Correlation between Quality and Accuracy of Graph Clustering”, in “Principles of Big Graph: In-depth Insight”, “Advances in Computers”, Elsevier, vol. 129, 2022. (SCI)
  8. Thounaojam Chinglemba, Soujanyo Biswas, Vivek Meena, Debojyoti Sarkar, and Anupam Biswas, “Introductory Review of Swarm Intelligence Techniques”, in “Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems” , in Book series “Studies in Computational Intelligence”, Springer, 2021. (Accepted)
  9. 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. 
  10. 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)
  11. 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.
  12. 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.
  13. 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.
  14.  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.
  15. 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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