bhaskar.cse's picture
Dr. Bhaskar Biswas
Associate Professor
Department of Computer Science and Engineering
bhaskar.cse@iitbhu.ac.in
+91-542-230-7056(PH)
+91-542-2368428(FAX)
Area of Interest: 
Data Mining, Web Mining and Social Networks

Official Address: Associate Professor, Department of Computer Sc. & Engineering, Indian Institute of Technology (BHU), Varanasi-221005. India

Phone(O): +91-542-230-7056 Fax:+91-542-2368428

Residence: L-14, Tulsidas Colony,BHU, Varanasi-221005.

Phone(R):+919415619051

Courses I am handling currently:
(Odd Semester):
Data Mining.

(Even Semester): Operating Systems.

AREA OF INTEREST AND SPECIALIZATION: Data Mining, Web Mining, Social Network Analysis 
Techniques and Methods: (Not bounded to) Machine Learning, Bio-inspired optimization Techniques, Soft computing Techniques...........
Number of Ph. D supervised : 01 (Completed) 
  1. Dr. Anupam Biswas (http://cs.nits.ac.in/anupam/) Title of Thesis: "Community Detection in Social Networks Using Agglomerative and Evolutionary Techniques".
Number of Ph.D submitted: 02 
  1. Harish Kumar Shakya. Title of thesis: "Community Detection in Social Networks using Improvised Evolutionary Algorithms". Submitted January 2018.
  2. Kuldeep Singh. Title of Thesis: "Mining High Utility Itemsets with Positive and Negative Utility". Submitted April 2018
Number of Ph.D. ongoing : 05
​1. SHASHANK SHESHAR SINGH  Area: Influence Maximization.
2. AJAY KUMAR Area: Link Prediction.
3. SNEHA MISHRA Area: Community Detection in Dynamic Networks ( Tentative)
4. VISHAL SRIVASTAVA Area: Classification of Multispectral Images (Tentative)
5. VANDANA BHARTI Area: Feature Selection using Machine Learning and other methods ( Tentative)
 
Partial List of Publications:
Peer Reviewed International Journals:
  1. Kuldeep Singh, Harish Kumar Shakya, Siddhartha Kumar Arjaria, N. Arun kumar, Bhaskar Biswas, Efficient algorithm for mining high utility pattern considering length constraints, Cluster Computing (Springer) (SCIE), Impact Factor: 2.040, ISSN: 1386-7857. [In Press]
  2. Kuldeep Singh, Harish Kumar Shakya, Abhimanyu Singh, Bhaskar Biswas, Efficient algorithm for mining high utility itemsets with negative utility, Expert Systems (wiley) (SCIE), Impact Factor: 1.18, ISSN: 1468-0394. DOI:10.1111/exsy.12296 [Published]
  3. Kuldeep Singh, Bhaskar Biswas, TKEH: an efficient algorithm for mining top-k high utility itemsets, Applied Intelligence (Springer) (SCIE), Impact Factor: 1.904, ISSN: 0924-669X. [Revision under review]
  4. Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas, Clustering of people in social network based on textual similarity, Perspectives in Science (Elsevier), volume- 8, pages- 570–573, 2016, ISSN: 2213-0209.
  5. Anupam Biswas and Bhaskar Biswas, “FuzAg: Fuzzy Agglomerative Community Detection”, in IEEE Transactions on Fuzzy Systems, IEEE, 2017, ISSN: 1063-6706. (SCI, IF 7.671, Accepted)
  6. 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 4.832)
  7. 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 3.928)
  8. 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 2.472)
  9. Anupam Biswas and Bhaskar Biswas, “Investigating Community Structure in Perspective of Ego Network”, in Expert Systems with Applications, Elsevier, vol. 42, no. 20, pp. 6913-6934, 2015, ISSN: 0957-4174. (SCI, IF 3.928)
  10. 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 1.530)
  11. Anupam Biswas, Bhaskar Biswas, A. Kumar and K. K. Mishra, “Particle Swarm Optimization with Time Varying Cognitive Avoidance Component”, in International Journal of Computational Science and Engineering, InderScience Publishers, vol. 16, no. 1, pp. 27-41, 2018, ISSN:1742-7185. (ESCI, Scopus).
  12. Himanshu Singh and Bhaskar Biswas, “Comparison of CSMA based MAC protocols of Wireless Sensor Networks”, International Journal of AdHoc Network Systems, AIRCC, Volume 2, Issue 2, April 2012.
  13. Bhaskar Biswas, Karan Jain, Vipul Mittal and K.K. Shukla,  “Exploiting tree structure of a web page for clustering”,  International Journal of Knowledge and Web Intelligence, Vol. 1, Nos. 1/2, Page 81-94, 2009.
Book Chapters (International):
  1. Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas, Happiness Index in Social Network, Advanced Informatics for Computing Research, Springer pp- 261-270, 2017, ISBN: 978-981-10-5779-3.
  2. Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas, Frequent Patterns Mining from Data Cube using Aggregation and Directed Graph, Advances in Intelligent Systems and Computing, Springer pp 167-177, 2016, ISBN: 978-81-322-2695-6.
  3. Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas, Discovery of Multi-frequent Patterns Using Directed Graph, Emerging Research in Computing, Information, Communication and Applications (ERCICA 2015), Springer, volume 2, pp 153-162, 2015, ISBN: 978-81-322-2552-2.
  4. 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.
  5. 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.
  6. 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.
 
 
Peer Reviewed International Conferences:
  1. 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)
  2. 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.
  3. Anupam Biswas and Bhaskar Biswas, “Visual Analysis of Evolutionary Optimization Algorithms”, in ISCBI 2014 II International Symposium on Computational and Business Intelligence, 7-8 Dec. 2014, pp. 81-84, New Delhi.
  4. 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.
  5. 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.
  6. G. Agarwal , S. K. Chourasia , Anupam Biswas , S. K Arjaria , Bhaskar Biswas, “Community Detection Using Central Force Optimization (CFO)”, Proc. of The Sixth Intl. Conf. On Advances In Computing, Control And Networking - ACCN 2017, Feb. 25-26, 2017, Bangkok, Thailand.
  7. 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.
  8. Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, Harish Kumar Shakya, and Bhaskar Biswas. "A Survey on Information Diffusion Models in Social Networks". Second International Conference on Advanced Informatics for Computing Research (ICAICR-2018)  Shimla, India, July 14-15, 2018. 
  9. Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, and Bhaskar Biswas. "CoIM : Community-based Influence Maximization in Social Networks". Second International Conference on Advanced Informatics for Computing Research (ICAICR-2018)  Shimla, India, July 14-15, 2018. (Accepted)
  10. Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, Harish Kumar Shakya, and Bhaskar Biswas. An implementation of malware detection system using Hybrid C4.5 Decision tree algorithmSecond International Conference on Advanced Informatics for Computing Research (ICAICR-2018)  Shimla, India, July 14-15, 2018. 
  11.  Anant Dadu, Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, Harish Kumar Shakya, Siddhartha Kumar Arjaria, and Bhaskar Biswas.  A Study of Link Prediction using Deep LearningSecond International Conference on Advanced Informatics for Computing Research (ICAICR-2018)  Shimla, IndiaJuly 14-15, 2018. 
  12. Kuldeep Singh, Harish Kumar Shakya, Ajay Kumar, Shashank Sheshar Singh and Bhaskar Biswas, Top-k High Utility Itemsets Mining: current status and future directions, International Conference on Computational Strategies for Next Generation Technologies (NEXTCOM-2017), CT Institute of Engineering, Management & Technology Shahpur, Jalandhar, Punjab, India, 25-26, November, 2017.
  13. Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas, An Efficient Approach to Discovering Frequent Patterns from Data Cube using Aggregation and Directed Graph, 6th International Conference on Computer and Communication Technology, ICCCT-2015, September 25-27, 2015, pp. 31-35, MNNIT Allahabad ISBN: 978-1-4503-3552-2.
  14. Kuldeep Singh, Harish Kumar Shakya, Bhaskar Biswas, Advanced Annotated Lexical Resources- A Review, International Conference on Emerging trends in computer science & its Applications (ETCSA-2015), RJIT BSF Academy, Gwalior, India, April 7-8, 2015, pp. 351–355.