Malikfma - Department of Mathematics,Indian Institute of Technology Roorkee
Sanjeev Kumar Associate professor 01332-285824 Website
Areas of Interest
  • MATHEMATICAL IMAGE PROCESSING (Computational Algorithms for Image Restoration; Image Encryption and Secret Sharing; Quantum Imaging; 3-D Reconstruction), MACHINE LEARNING (Neural Networks and Tree-based Classifiers; Applications in Image Processing)
Professional Background
2016-04-29OngoingAssociate ProfessorIIT Roorkee
2010-11-185 years 5 months Assistant ProfessorIIT Roorkee
2008-03-122 years 8 months 3 daysPostdoctoral FellowUniversity of Udine Italy
Multiple Posts
2013-06-012 years 11 months Staff Adviser, CricketInst Sports Council, IIT Roorkee
2014-06-012 years 11 months Warden, Ganga BhawanIIT Roorkee
2013-01-311 year IAPC MemberIIT Roorkee
2013-01-01OngoingO.C. placementMaths Dept
2013-01-01OngoingO.C. dept websiteMaths Dpeartment
Honors and Awards
Outstanding Teacher Award for Under Graduate CategoryIndian Institute of Technology Roorkee2019
Selected in Top 15 contenders of Outstanding Teacher Award for Under Graduate CategoryIndian Institute of Technology Roorkee2018
Best paper awards Int Conf on ECCS at NIT Kurukshetra 2015
MIUR Postdoctoral FellowshipUniveristy of Udine2008
Educational Details
PhDMathematicsIIT Roorkee2008
M.Sc.Applied MathematicsIIT Roorkee2003
B.Sc.MathematicsCCS University Meerut2001
Sponsored Research Projects
TopicFunding AgencyStart DatePeriod
3D Reconstruction and Software Development for City Model Generation from Satellite ImagesISRO Respond2013-042 years
Developing Encryption and Secret Sharing Scheme for Quantum ImagesSERB2021-01-122 years 11 months 30 days
Development of Advanced Computational Algorithms for Evaluating Post-Surgery RehabilitationDST under India-Czech Bilateral Call-20192020-08-282 years 11 months 30 days
Study and Development of Multispectral Active Stereo Vision System for Video SurveillanceSERB2013-013 years
Prediction of Storms Signatures using Satellite Images based on Optical FlowISRO-RESPOND2017-022 years
Machine Learning with PythonNational Informatics Centre2019-063 months
  • IEEE Computer Society, Member
  • SIAM, Member
  • ACEEE, Life Member
  • Int. Asso. of Pattern Recognition, Member
  • IACSIT, Life Member
Teaching Engagements
TitleCourse CodeClass NameSemester
Mathematics 1MA 101UGAutumn
Design and Analysis of AlgorithmsMAN-291IMScAutumn
Numarical Analysis, Probability and StatisticsMA 501FM TECHAutumn
Mathematical Imaging TechniquesMAN-325IMScAutumn
Linear AlgebraMAN-102IMScSpring
Image ProcessingMA 625PG (MCA, M.Tech and M. Sc.)Autumn
Mathematics IIMA 102B Tech 1 YearSpring
Computer VisionMAN-522IMScSpring
Fundamentals of Object Oriented ProgrammingEC-101BB Tech 1 YearSpring
Mathematical MethodsMAN-002UGSpring
Research Scholar Groups
Scholar NameInterest
Savita NandalImage restoration
AshishiLarge and Sparse Models in Medical Imaging
Farhan MusannaChaotic based Image Encryption
NeerajWavelet Analysis for Imaging Problems
Mahima LakraOptimal Control Problems in Image processing
DeepaOptimization Models in Mathematical Imaging
Deepak SinghQuantum Computing in Imaging
PHDs Supervised
TopicScholar NameStatus of PHDRegistration Date
3D reconstruction of Free-form Shaped Objects in Stereo Vision using NURBSDeepika SainiA2012-01
Visual Servoing Algorithms for Omnidirectional Mobile RobotGossaye MekonnenA2013-01
Object Reconstruction and Registration with Image Gradients using Numerical SImulation ofAnubalaA2011-07
Some Efficient Algorithms for Optical Flow EstimationPushpendra KumarA2011-07
Some Fractional Order Computational Algorithms for Image RestorationSavitaA2014-07
Chaos-based Image Encryption AlgorithmsFarhan MusannaO2016-07
Optimal Control problems in Image ProcessingMahima LakraO2020-08
Qantum Image Encryption AlgorithmsDeepak SinghO2016-12
Compressive Sensing and Non-Negative Matrix FactorizationNeeraj SinghO2020-08
Mathematical Analysis of MRI diffusion imagingAshishi PuriO2020-08
Quantum Machine Learning and Image Processing AlgorithmsKm. DeepaO2018-12
Anticipating Attacks and their learning in Image Encryption Deepak DangwalO2020-08
Visits to outside institutions
Institute VisitedPurpose of VisitDate
University of UdineResearch2012-01-01
ICTP Trieste, ItalyTo participate in ICTP-TWAS joint school on Coherent State Transforms2014-01-01
UCT PragueResearch Collbaoration2018-01-01
SAC, ISRO AhemdabadResearch visit2017-01-01
ICMS University of EdinburghDST Delegation Member2012-01-01
University of BolognaResearch Collabotration2018-01-01
Courses or Conferences Organised
Conference NameSponsored ByDate
STC on Image Processing and Computer Graphics for Scientific VisualizationAICTE, QIP Centre IIT ROORKEE2012-01
International Conference on Computer Vision and Image Processing 2016DST, DRDO, Mathworks..2020-08
EICT course of Pattern recognition and Image AnalysisMEITY2017-01
International Conference on Computer Vision and Image Processing 2017Mathworks2020-08
Refereed Journal Papers

  Refereed Journal Papers:

  1. A. Puri, S. Shakya, and S. Kumar, An Enhanced Multi-Fiber Reconstruction Technique using Adaptive Gradient Directions coupled with MoNCW Model in Diffusion MRI, Journal of Magnetic Resonance, Volume 325, April 2021, 106931 (Impact Factor: 2.624/Q1)
  2. Musanna, F., Dangwal, D. & Kumar, S. Novel image encryption algorithm using fractional chaos and cellular neural network. J Ambient Intell Human Comput (2021). Impact Factor: 4.594/Q1
  3. F.Musanna and S. Kumar, A Novel Three Party Quantum Secret Sharing Scheme based on Bell State Sequential Measurements with Applications in Quantum Image Sharing, To be appeared in Quantum Information Processing (2020), DOI: 10.1007/s11128-020-02854-8 (Impact Factor: 2.433/ Q1-JCR; Q2-Scimago)
    F. Musanna is Ph.D. student of Sanjeev Kumar
  4. Musanna and S. Kumar, Generating Visually Coherent Encrypted Images with Reversible Data Hiding in Wavelet Doamin by Fusing Chaos and Pairing Functions, Computer Communications (2020): 162, 12-30. (Impact Factor: 2.816/Q1-Scimago; Q2-JCR)                           F. Musanna is Ph.D. student of Sanjeev Kumar
  5. F. Musanna and S. Kumar, Image encryption using Quantum 3-D Baker map and Generalized Gray code coupled with fractional Chen's chaotic system, Quantum Information Processing, 19 (2020), 220. (Impact Factor: 2.433/Q1-JCR; Q2-Scimago)                                         F. Musanna is Ph.D. student of Sanjeev Kumar
  6. F. Musanna and S. Kumar, Novel Image Encryption Algorithm using Chaotic Compressive Sensing and Nonlinear Exponential Function, Journal of Information Security and Applications, 54 (2020), 102560 (Impact Factor: 2.327/Q2-Scimago; Q3-JCR)  F. Musanna is Ph.D. student of Sanjeev Kumar
  7. M. Lakra and S. Kumar,  A CNN-based Computational Algorithm for Nonlinear Image Diffusion Problem, Multimedia Tools and Applications (Springer), (2020). (Impact Factor: 2.313/Q1-Scimago; Q2-JCR)
    M. Lakra is Ph.D. student of Sanjeev Kumar
  8. S. Shakya, S. Kumar and M. Goswami, Deep Learning Algorithm for satellite imaging-based cyclone detection, IEEE Journal of Selected Topics in Applied earth observations and Remote Sensing, 13(1): 827-839, 2020  (Impact Factor: 3.827/Q1-JCR; Q1-Scimago)                                                                           S. Shakya was a Reserach Associate with Sanjeev Kumar in an ISRO funded project
  9. F. Musanna, D. Dangwal, S. Kumar and V. Malik, A Chaos Based Image Encryption Algorithm based on Multiresolution Singular Value Decomposition and a Symmetric Attractor, The Imaging Science Journal (Royal Photographic Society), 68(1), 2020  (Impact Factor: 1.023/Q2-Scimago; Q3-JCR)                                                                             F. Musanna and D. Dangwal are Ph.D. student of Sanjeev Kumar, V. Malik was a summer intern
  10. F. Musanna and S. Kumar, A novel chaos-based approach in conjunction with MR-SVD and Pairing function for generating visually meaningful cipher images, To be appeared in Multimedia Tools and Applications (Springer), 2020 (Impact Factor: 2.313/Q1-Scimago; Q2-JCR)  
    F. Musanna is Ph.D. student of Sanjeev Kumar
  11. S. Nandal and S. Kumar, Fractional order anisotropic diffusion for defogging of RGB images, Int. Journal of Image and Graphics, 20(1), 2050001 (20 pages), 2020             S. Nandal did her Ph.D. under Sanjeev Kumar
  12. S. Shakya and S. Kumar, Characterizing and predicting the movement of clouds using fractional-order optical flow, IET Image Processing, 13(8):1375 – 1381, 2019  (Impact Factor: 2.004/Q2-Scimago; Q3-JCR)  
    S. Shakya was a Reserach Associate with Sanjeev Kumar in an ISRO funded project
  13. S. Nandal and S. Kumar, Single Image Fog Removal Algorithm in Spatial Domain using Fractional Order Anisotropic Diffusion, Multimedia Tools and Applications (Springer), 78(8):10717-10732, 2019 (Impact Factor: 2.313/Q1-Scimago; Q2-JCR)  
    S. Nandal did her Ph.D. under Sanjeev Kumar
  14. F. Musanna and S. Kumar, A Novel Fractional-order Chaos-based Image Encryption using Fisher-Yates Algorithm and 3-D Cat Map, Multimedia Tools and Applications (Springer), 78(11): 14867-14895, 2018  (Impact Factor: 2.313/Q1-Scimago; Q2-JCR) 
    F. Musanna is Ph.D. student of Sanjeev Kumar
  15. P. Kumar and S. Kumar, A modified variational functional for estimating dense and discontinuity preserving optical flow in various spectrum, International Journal of Electronics and Communications, 70 (3) (2016), 289-300 (Impact Factor: 2.924/Q2-JCR; Q2-Scimago)
  16. P. Kumar, S. Kumar and R. Balasubramanian, A fractional-order variational model for the robust estimation of optical flow from image sequences, Optik, 127(20), 8710-8727, 2016 (Impact Factor: 2.187/Q2-JCR; Q2-Scimago)
  17. Deepika Saini, Sanjeev Kumar and T. R. Gulati, Reconstruction of Freeform Space Curves using NURBS-Snakes based Energy Minimization Approach, Computer Aided Geometric Design (Elsevier), 33: 30-45, 2015. (Impact Factor: 1.230/Q1-Scimago; Q2-JCR)
  18. Anu Bala, S. Kumar, R. Bhargava, 2D–3D Non-rigid Registration Using Depth from Gradient Information, 3D Research (Springer), 6 (2015), 34[11 pages] Q3-Scimago

  19. G. Mekonnen, S. Kumar, and P. M. Pathak, Wireless Hybrid Visual Servoing of Omnidirectional Wheeled Mobile Robots, Robots and Autonomous Systems, 75(B) (2015), 450-462 (Impact Factor: 2.825/Q1)
  20. Deepika Saini and Sanjeev Kumar, Stereo Vision-based Conic Reconstruction using a Ray-Quadric Intersection, International Journal of Image and Graphics (World Scientific), 15(4): 1550019, 2015 Q4-Scimago

  21. Deepika Saini, Sanjeev Kumar and T. R. Gulati, NURBS-based Geometric Inverse Reconstruction of Free-form Shaped Objects, to be appeared in JKSU-Computer and Information Sciences (Elsevier), December 2014. Q1-Scimago

  22. Asha Rani, Balasubramanian Raman, and Sanjeev Kumar, A Robust Watermarking Scheme Exploiting Balanced Neural Tree for Rightful Ownership Protection, Multimedia Tools and Applications (Springer), 72(3): 2225-2248, 2014. (Impact Factor: 2.313/Q1-Scimago)
  23. Sanoj Kumar, Sanjeev Kumar, N. Sukavanam and Balasubramanian Raman, Dual-Tree Fractional Quaternion Wavelet Transform for Disparity Estimation, ISA Transactions (Elsevier),53(2): 547-559, 2014. (Impact Factor: 4.305/Q1)
  24. Asha Rani, Sanjeev Kumar, Christian Micheloni, Gian Luca Foresti,, Incorporating Linear Discriminant Analysis in Neural Tree for Multidimensional Splitting, Applied Soft Computing (Elsevier), 13(10): 4219–4228, 2013. (Impact Factor: 5.472/Q1)
  25. Sanoj Kumar, Sanjeev Kumar, N. Sukavanam and Balasubramanian Raman, Human Visual System and Segment-Based Disparity Estimation, AEÜ - International Journal of Electronics and Communications (Elsevier), 67(5): 372–381, 2013. (Impact Factor: 2.924/Q2)
  26. Sanoj Kumar, Sanjeev Kumar, Balasubramanian Raman and N. Sukavanam, An Efficient Disparity Estimation Using Fractional Dual-Tree Complex Wavelet Transform: A Multiscale Approach, International Journal of Wavelets, Multiresolution and Information Processing (World Scientific),11: 1350004 (21 pages), 2013.Q3-Scimago
  27. Sanjeev Kumar and Asha Rani, DF-LDA Tree: A Nonlinear Multilevel Classifier for Pattern Recognition, Journal of Experimental and Theoretical Artificial Intelligence (Taylor and Francis), 25(2): 177-188, 2013. (Impact Factor: 2.039/Q2)
  28. Christian Micheloni, Asha Rani, Sanjeev Kumar and Gian Luca Foresti, A Balanced Neural Tree for Pattern Classification, Neural Network Journal (Elsevier), 27: 81-90, 2012. (Impact Factor: 5.535/Q1)
  29. Sanjeev Kumar, Asha Rani, Christian Micheloni and Gian Luca Foresti, An Application of Balanced Neural tree for Classifying Tentative Matches in Stereo Vision, Optical Engineering Journal (SPIE), 51(8): 87202, 2012. (Impact Factor: 1.209/Q1)
  30. Sanjeev Kumar and Manoj Kumar, Application of Neural Network in Integration Shape from Shading and Stereo, JKSU-Computer and Information System (Elsevier), 24(2): 129-136, 2012. Q1-Scimago

  31. Sanjeev Kumar, N. Sukavanam and R. Balasubramanian, An Optimization Approach to solve the Inverse Kinematics of Redundant Manipulator, International Journal of Information and System Sciences (Institute for Scientific Computing and Information), 6(4): 414-423, 2010.
  32. Sanjeev Kumar, Christian Micheloni, Claudio Piciarelli and Gian Luca Foresti, Stereo Rectification of Uncalibrated and Heterogeneous, Pattern Recognition Letters (Elsevier), 31: 1445-1452, 2010. (Impact Factor: 2.810/Q1-Scimago)
  33. Sanjeev Kumar, R. Balasubramanian and N. Sukavanam, Reconstruction of Cubic Curves from Two or More Images using Geometric Intersection, International Journal of Information and System Sciences (Institute for Scientific Computing and Information), 5(1): 98-111, 2009.
  34. Gaurav Bhatnagar, Sanjeev Kumar, Balasubramanian Raman and N. Sukavanam Stereo Image Coding via Digital Watermarking, Journal of Electronic Imaging (IS&T and SPIE), 18(3), 033012, 2009. (Impact Factor: 0.924/Q3)
  35. Sanjeev Kumar, Manoj Kumar, R. Balasubramanian, N. sukavanam and R. Bhargava, 2009, Depth Recovery of Complex Surfaces using Texture-less Pairs of Stereo Images, Electronic Letters on Computer Vision and Image Analysis (ELCVIA), 2009, 8(1), 44-56, 2009. Q4

  36. N. Sukavanam, R. Balasubramanian and Sanjeev Kumar, Error estimation in reconstruction of quadratic curves in 3-D space, International Journal of Computer Mathematics (Taylor and Francis), Vol. 84, No. 1, pp. 121-132, 2007. (Impact Factor: 1.196/Q2)

See the complete list of publications here

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Credits : Information Management Group, IIT Roorkee
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