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Malikfma
Sanjeev Kumar Associate Professor sanjeev.kumar@ma.iitr.ac.in 7417464841 Website
Areas of Interest
  • Computer Vision & Mathematical Imaging,
  • Inverse Problems in Imaging and Control,
  • Machine Learning,
Professional Background
FromToDesignationOrganisation
April 2016Till dateAssociate ProfessorIIT Roorkee
Nov., 2010April,2016Assistant ProfessorIIT Roorkee
20082010Postdoctoral FellowUniversity of Udine Italy
Honors and Awards
AwardInstituteYear
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
CSIR-SRFCSIR2006
CSIR-JRFCSIR2004
Educational Details
DegreeSubjectUniversityYear
PhDMathematicsIIT Roorkee2008
M.Sc.Applied MathematicsIIT Roorkee2003
B.Sc.MathematicsCCS University Meerut2001
Administrative Background
FromToDesignationOrganisationLevel
20132016Staff Adviser, Cricket Inst Sports Council, IIT Roorkee
20142017Warden, Ganga BhawanIIT Roorkee
20132014IAPC MemberIIT Roorkee
2013till dateO.C. placementMaths Dept
2013till dateO.C. dept websiteMaths Dpeartment
Sponsored Research Projects
TopicFunding AgencyYear
3D Reconstruction and Software Development for City Model Generation from Satellite ImagesISRO Respond2013
Machine Learning with PythonNational Informatics Centre2019
Study and Development of Multispectral Active Stereo Vision System for Video SurveillanceSERB2013
Prediction of Storms Signatures using Satellite Images based on Optical FlowISRO-RESPOND2016
Memberships
  • 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
Image ProcessingMA 625PG (MCA, M.Tech and M. Sc.)Autumn
Linear AlgebraMAN-102IMScSpring
Mathematics IIMA 102B Tech 1 YearSpring
Computer VisionMAN-522IMScSpring
Fundamentals of Object Oriented ProgrammingEC-101BB Tech 1 YearSpring
Mathematics-IMAN-001UGAutumn
Mathematical MethodsMAN-002UGSpring
Research Scholar Groups
Scholar NameInterest
DEEPIKA SAINICOMPUTER VISION AND COMPUTATIONAL GEOMETRY
Savita NandalImage restoration
AshishiLarge and Sparse Models in Medical Imaging
ANUBALACOMPUTER VISION
Farhan MusannaChaotic based Image Encryption
NeerajWavelet Analysis for Imaging Problems
PUSHPENDRA KUMARCOMPUTER VISION
Mahima LakraOptimal Control Problems in Image processing
DeepaOptimization Models in Mathematical Imaging
GOSSAYE MEKONNEN ALEMUROBOTIC VISION
Deepak SinghQuantum Computing in Imaging
PHDs Supervised
TopicScholar NameStatus of PHDRegistration Year
3D reconstruction of Free-form Shaped Objects in Stereo Vision using NURBSDeepika SainiA2011-12
Visual Servoing Algorithms for Omnidirectional Mobile RobotGossaye MekonnenA2012-13
Object Reconstruction and Registration with Image Gradients using Numerical SImulation of AnubalaA2012-13
Some Efficient Algorithms for Optical Flow EstimationPushpendra KumarA2012-13
Some Fractional Order Computational Algorithms for Image RestorationSavitaA2014-15
Optimal Control problems in Image ProcessingMahima LakraO2017-18
Chaos-based Image Encryption AlgorithmsFarhan MusannaO2016-17
Anticipating Attacks and their learning in Image Encryption Deepak DangwalO2014-15
Compressive Sensing and Non-Negative Matrix FactorizationNeeraj SinghO2018-19
Mathematical Analysis of MRI diffusion imagingAshishi PuriO2018-19
Visits to outside institutions
Institute VisitedPurpose of VisitDate
ICTP Trieste, ItalyTo participate in ICTP-TWAS joint school on Coherent State TransformsJune 2014
University of UdineResearch12-03-2012
UCT PragueResearch CollbaorationJuly 2018
SAC, ISRO AhemdabadResearch visitNov. 2017
University of BolognaResearch CollabotrationJune 2018
ICMS University of EdinburghDST Delegation Member11-07-2012
Courses or Conferences Organised
Conference NameSponsored ByDate
STC on Image Processing and Computer Graphics for Scientific VisualizationAICTE, QIP Centre IIT ROORKEE09-07-2012
International Conference on Computer Vision and Image Processing 2016DST, DRDO, Mathworks..26-28 Feb
EICT course of Pattern recognition and Image AnalysisMEITYDec. 2017
International Conference on Computer Vision and Image Processing 2017Mathworks10-12 Sep
Refereed Journal Papers

   Refereed Journal Papers:

  1. 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: 2.222)
  2. 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: 1.537)  
  3. M. Lakra and S. Kumar,  A CNN-based Computational Algorithm for Nonlinear Image Diffusion Problem, Multimedia Tools and Applications (Springer), (2020). https://doi.org/10.1007/s11042-020-09077-0 (Impact Factor: 2.101)
  4. 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: 3.392)
  5. 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: 0.846)
  6. 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: 2.101)
  7. 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
  8. 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)
  9. 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: 2.101)
  10. 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: 2.101)
  11. 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: 2.853)
  12. 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: 1.914)
  13. 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: 1.421)
  14. Anu Bala, S. Kumar, R. Bhargava, 2D–3D Non-rigid Registration Using Depth from Gradient Information, 3D Research (Springer), 6 (2015), 34[11 pages]
  15. 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: 2.928)
  16. 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
  17. 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.
  18. 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: 2.101)
  19. 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: 4.343)
  20. 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: 4.873)
  21. 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: 2.853)
  22. 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.
  23. 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: 2.111)
  24. 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: 5.785)
  25. 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)
  26. 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.
  27. 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.
  28. 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)
  29. 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.
  30. 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)
  31. 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.
  32. 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)

 

See the complete list of publications here