Dr. Sanjay Kumar Singh

Designation : Associate Professor in Computer Engineering

Date of Birth : February 17, 1970
Mob No. : 09554321133

 

Academic Qualification : B. Tech. ( Computer Engg.), M. Tech. (Computer Applications), Ph.D. (Computer Science and Engineering)

 

Other Qualifications

  • Certified Novell Engineer (CNE) from Novell Netware, USA

  • Certified Novell Administrator (CNA) from Novell Netware USA

 

Membership : LIMSTE, IEE, International Association of Engineers, ISCE.

 

Research Interests

Biometrics, Computer Vision, Image Processing, Video Processing, Pattern Recognition, Artificial Intelligence

 

Subjects taught : Data Structure, Computer Organization, Artificial Intelligence, Programming in C/C++, Computer Networks, operating system.

Teaching Experience : 13 years to UG/PG (B. Tech., M. Tech. and MCA)

 

Industrial Experience

COMNET Technologies, New Delhi, India. Network and Hardware Engineer (March 1995 – November 1997)


Publications:

Total number of Book Chapters: 3

Total number of Journal Publications: 9

Total number of Conferences: 23

Papers Submitted: 3

Selected Publications

  • Mayank Vatsa, Richa Singh, Afzel Noore, Sanjay K. Singh: Belief Function Theory Based Biometric Match Score Fusion: Case Studies in Multi-instance and Multi-unit Iris Verification.ICAPR 2009: 433-436.

  • Mayank Vatsa, Richa Singh, Afzel Noore, Sanjay K. Singh: Combining pores and ridges with minutiae for improved fingerprint verification.Signal Processing 89(12): 2676-2685 (2009).

  • Richa Singh, Mayank Vatsa, Sanjay K. Singh, Saurabh Upadhyay: Integrating SVM classification with SVD watermarking for intelligent video authentication.Telecommunication Systems 40(1-2): 5-15 (2009).

  • Mayank Vatsa, Richa Singh, Afzel Noore, Sanjay K. Singh: Quality Induced Fingerprint Identification using Extended Feature Set, Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference, 2008 Page(s):1 – 6.
  • Mayank Vatsa, Richa Singh, Sanjay K. Singh, Saurabh Upadhyay: Video Authentication Using Relative Correlation Information and SVM, Computational Intelligence in Multimedia Processing: Recent Advances, Studies in Computational Intelligence, Springer, Chapter 13, 511-529, 2008.

  • R. Singh, M. Vatsa, A. Noore and S. K. Singh, Age transformation for improving face recognition performance, In International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2007.

  • R. Singh, M. Vatsa, A. Noore and S. K. Singh, DS theory classifier fusion with update rule to minimize training time, In IEICE Electronics Express, Vol. 3, No. 20, pp. 429-435, 2006.

  • R. Singh, M. Vatsa, A. Noore and S. K. Singh, Dempster Shafer Theory based classifier fusion for improved fingerprint verification performance, In Indian Conference on Computer Vision, Graphics and Image Processing, LNCS Vol. 4338, pp. 941-949, 2006.

  • S. C. Yadav and S. K. Singh, Architectural aspects affecting the cluster performance, In International ICT Conference 2006.

  • S. C. Yadav and S. K. Singh, AI tools and their applications for future power systems, In Proceedings of International Conference on Challenges & Strategies for Sustainable Energy, Efficiency and Environment, 2006.

  • S. C. Yadav and S. K. Singh, Performance dependency of cluster nodes on underlying architecture of high performance computing environment, In Proceedings of National Conference on Recent Trends in Information Systems, 2006.

  • S. C. Yadav and S. K. Singh, Changing organization culture: issues, problem and challenges, In Proceedings of National Conference on Strategic Management in Developing Nations: Emerging Paradigm, 2006.

  • S. C. Yadav and S. K. Singh, Performance measurement issues related with low cost and high Performance commodity clusters, In Aatambodh - Journal of Rajarshi School of Management & Technology, ISSN 0972-1398, Vol. 3, No. 3, 2006.

  • M. Vatsa, R. Singh, S. K. Singh, K. K. Shukla and R. B. Lokesh, Face recognition technology: A biometric solution to security problems, In Multimedia Systems and Content-based Image Retrieval (Idea Group Publishing), Edited by Sagarmay Deb, Chapter 4.

  • S. K. Singh, D. S. Chauhan, M. Vatsa and R. Singh, A robust skin color based face detection algorithm, International Tamkang Journal of Science & Engineering, Vol. 6, No. 4, pp. 227-234, 2003.

  • S. K. Singh, D. S. Chauhan, M. Vatsa and R. Singh, Hybrid FEB face recognition algorithm, World Scientific and Engineering Academy and Society Transactions on Computers, Vol. 2, No. 2, pp. 373-378, 2003.

  • S. K. Singh, M. Vatsa, R. Singh, and K. K. Shukla, A comparative study of various face recognition algorithms, In Proceedings of IEEE International Workshop on Computer Architecture for Machine Perception (IEEE CAMP’ 03), 2003.

  • S. K. Singh, M. Vatsa, R. Singh, and D. S. Chauhan, Design of face recognition system, ElectronicsLetters.com (electronic journal) 2003.

  • S. K. Singh, D. S. Chauhan, Comparison of two approaches of face detection algorithm in controlled background, ElectronicsLetters.com (electronic journal) 2003.

  • M. Vatsa, R. Singh, S. K. Singh and D.S. Chauhan, Comparison of face recognition technology: neural network & line based approach, In Proceedings of the International Conference on IEEE System, Man and Cybernetics (SMC’ 02), Vol. 6, pp. WA2H3:1-6, 2002.

  • S. K. Singh, M. Vatsa, R. Singh, and D. S. Chauhan, Automatic face recognition: A survey report, In Proceedings of the International Conference on Multimedia and Design (ICMD’ 02), pp. 91 – 98, 2002.

  • M. Vatsa, R. Singh and S. K. Singh, Design and implementation of face recognition system, In Proceedings of the 12th IAPR Portuguese Conference on Pattern Recognition (RECPAD’ 02), pp. P07 – P12, 2002.

  • S. K. Singh, M. Vatsa, R. Singh, and D. S. Chauhan, A comparison of face recognition algorithms (Feature based, Eigen based, Neural Network based approaches), In Proceedings of the International Conference on Intelligent Systems (ICIS’ 02), 2002.

  • M. Vatsa, R. Singh, S. K. Singh and R. B. Lokesh, Image database for automatic face recognition, In Proceedings of the International Conference on Computer Vision, Pattern Recognition and Image Processing (CVPRIP’ 02), pp. 704-707, 2002.

  • S. K. Singh, M. Vatsa and R. Singh, Neural network approach for selection of geo friendly instruments and its analysis, In Proceedings of the International Conference on Quality, Reliability and Control (ICQRC’ 01), pp. 88 – 95, 2001.

  • M. Vatsa, R. Singh and S. K. Singh, Face recognizing robot, In Proceedings of the International Conference on Generative Arts (GA’ 01), 2001 (electronic proceedings).

  • M. Vatsa, R. Singh and S. K. Singh, Face Recognition Technology: Comparison between feature based method and neural network based method, In Proceedings of the International Conference on Intelligent Technologies (InTech’ 01), 2001.

 

Professional Activity

Reviewer: IEE Electronics Letters, Optics Express, IEEE SMC, and other Conferences.

Collaboration: Dr. Afzel Noore, West Virginia University, USA

Workshop: International workshop on Biometrics, IIT Kanpur, 2005.

Training: UGC Training on Information Technology, Delhi, 2003.

Improvement in Classroom Training, IIT Roorkee, 2002.

Research Grants

  • Selection of Geo Friendly Instruments and its Analysis

    Agency: All India Council for Technical Education,India

    Total Award: Indian Rs.9,00,000

    Duration: 2001 – 2003

    Role: PI

  • Fusion in Fingerprint Biometrics

    Agency: University Grant Commission

    Total Award: Indian Rs. 8,43,600

    Duration: 2007 – 2010

    Role:PI

 
 

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