Jaypee University Anoopshahr

Admissions Open for AY 2024-25. Apply Online at https://getadmissions.com/jaypee/
Admissions Open for AY 2024-25. Apply Online at https://getadmissions.com/jaypee
jua

JAYPEE UNIVERSITY ANOOPSHAHR , UP , INDIA


जेपी विश्वविद्यालय अनूपशहर , उ. प्र. , भारत


ESTABLISHED UNDER UP ACT NO 8 OF 2014 AND APPROVED BY UGC UNDER SECTION 2(F) OF THE UGC ACT, 1956

Name: Suman Saha

Designation: Associate Professor

Department: Faculty of Engineering and Technology

Qualification:  PhD (JUIT Waknaghat, 2017), M.Tech CS (ISI Kolkata, 2004)

Experience: 20 yrs (15 yrs teaching and 5 yrs research)

Contact Details: suman.saha@mail.jaypeeu.ac.in

Phone: 9805788220

Biography:

Alumnus of ISI Kolkata, skilled in Artificial Intelligence, Algorithms, Cryptography, Machine Learning, and Reinforcement Learning. Strong education professional with a Doctor of Philosophy (Ph.D.) focused in Network Science. Specialist for Google CodeJam, ACM ICPC, Kaggle and Crypto Challenge. Author of the book titled “Advanced Data Structure: Theory and Applications”, published by CRC Press.

Expertise: Cryptography, Reinforcement Learning, System Programming

 

Publications

Book:

  1. Saha and S. Shukla, Advanced Data Structures. Chapman and Hall/CRC, Jun. 2019. doi:
    10.1201/9780429488757.

Journals:

  1. Low Rank Approximation for Community Detection in Large Complex Networks, S Saha, SP Ghrera, Far East Journal of Electronics and Communications 2016.
  2. Nearest Neighbor search in the Metric Space of a Complex Network for Community Detection, S Saha, SP Ghrera, Information (Special Issue: Online Social Networks and Implications )7, 2016. 
  3. Network Community Detection on Metric Space, S Saha, SP Ghrera
  4. Algorithms 8 (Special Issue: Clustering Algorithms), 680-696, 2015. 
  5. An Efficient Round robin Minimum Spanning Tree Algorithm in MapReduce Framework, M Sharma, S Saha, INROADS-An International Journal of Jaipur National University 3 (1s), 106-110, 2014.
  6. Link Analysis to Visualize a Web Graph, CP Singh, S Saha, SK Saurabh, IJCSI , May 2012 9 (3).
  7. Application of rough ensemble classifier to web services categorization and focused crawling, S Saha, CA Murthy, SK Pal, Web Intelligence and Agent Systems: An International Journal 8 (2), 181-202, 2010.
  8. A novel split and merge technique for hypertext classification, S Saha, C Murthy, S Pal, Transactions on rough sets XII, 192-210, 2010.
  9. Tensor Framework and Combined Symmetry for Hypertext Mining, S Saha, CA Murthy, SK Pal, Fundamenta Informaticae 97 (1), 215-234, 2009
  10. Rough set based ensemble classifier for web page classification, S Saha, CA Murthy, SK Pal, Fundamenta Informaticae 76 (1-2), 171-187

Conference Proceedings:

  1. H. Mazumdar, S. Saha, B. Prajjwal, and G. Satvik, “S3t: A new self-supervised learning with swin transformer,” in IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2024), 2024, pp. 4–8.
  2. D. Puri, H. Saini, and S. Saha, “Linear time clustering models: A review,” in 2021 Sixth International Conference on Image Information Processing (ICIIP), vol. 6, 2021, pp. 427–432.
  3. Efficient Nystrom method for low rank approximation and error analysis, LS Patel, S Saha, SP Ghrera, 2015 Third International Conference on Image Information Processing.
  4. Time efficient ranking system on map reduce framework, A Rawat, S Saha, SP Ghrera, 2015 Third International Conference on Image Information Processing.
  5. Graph based approach for minimum multicollinearity highly accurate regression model explaining maximum variability, M Sharma, S Saha, Confluence 2014, 5th International Conference
  6. Reduction in Searching Time of Inverted Index using Bloom Filter,  Arvind, J Suchi, S Suman, ERCICA-2014
  7. Robust Best Regressor Model with Minimum Multicollinearity, M Sharma, S Suman, I2CT-2014, INTERNATIONAL CONFERENCES FOR CONVERGENCE OF TECHNOLOGY, Pune,India.
  8. Distributed Event Detection in Wireless Sensor Networks for Forest Fires, Y Singh, S Saha, U Chugh, C Gupta, Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International 
  9. Approximate data mining using sketches for massive data, Parul Gupta, Swati Agnihotri and Suman Saha, CIMTA-2013, Procedia Technology, Elsevier
  10. Rough set based ensemble classifier, CA Murthy, S Saha, SK Pal, Proceedings of the 13th international conference on Rough sets, fuzzy sets.
  11. Rough set based ensemble prediction for topic specific web crawling, S Saha, CA Murthy, SK Pal, Advances in Pattern Recognition, 2009. ICAPR’09. 
  12. Rough Ensemble Classifier: A Comparative Study, S Saha, C Murthy, S Pal, Fuzzy Logic and Applications, 116-123
  13. Hypertext Classification Using Tensor Space Model and Rough Set Based Ensemble Classifier, S Saha, C Murthy, S Pal, Pattern Recognition and Machine Intelligence, 213-218
  14. Classification of web services using tensor space model and rough ensemble classifier, S Saha, C Murthy, S Pal, Foundations of Intelligent Systems, 508-513

Book Chapters

  1. Mazumdar, S. Saha, and K. R. Khondakar, “Predictive analysis in healthcare using data science: Leveraging big data for improved patient care,” in Data Science in Medical Field), DSMF-2023, 2023.
  2. Roy Chowdhury and S. Saha, “Building better india,” in Large-Scale Data Streaming, Processing, and Blockchain Security, IGI Global, 2021, pp. 149–167. doi: 10.4018/978-1-7998-3444-1.ch007.
  3. Dhalaria, E. Gandotra, and S. Saha, “Comparative analysis of ensemble methods for classification of android malicious applications,” in Communications in Computer and Information Science, Springer Singapore, 2019, pp. 370–380
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