- Kumud Kundu
Kumud KunduAssociate Professor
- B.Sc: (Electronics)
- MCA, M.Tech:(CS)
- PhD (CS) :Machine Learning and Image Processing
21 years experience teaching courses on undergraduate and postgraduate levels
Subject of Interest
Deep Learning, Machine Learning, Digital Image Processing, Data Structures, Design and Analysis of Algorithms, Computer Graphics, Computer Architecture & Organization.
NPTEL Silver Medalist in "Deep Learning" (July-Nov-19)
NPTEL Silver Medalist in "Problem Solving using C" (Jan-Apr-19)
M.C.A with Distinction
B.sc.(Electronics) with 6th Rank in University Merit List
International Conferences (14)
- Kumud Arora, Poonam Garg, "Fusion of Logically Concatenated - Cross Binary Pattern and Îµ -Dragging Linear Regression for Face Classification across Pose", International Journal of Machine Learning and Computing (IJMLC), Vol.10(1): 108-115 ISSN: 2010-3700 DOI: 10.18178/ijmlc.2020.10.1.906 (Scopus Indexed)
- Kumud Arora, Poonam Garg, "Two-Dimensional Canonical Correlation Analysis of the Logically Concatenated Cross Binary Pattern for Cross Pose Face Recognition", International Journal of Computer Vision and Image Processing, 10(3), 66-79, 2018. DOI: 10.4018/IJCVIP.2018070104
- Kumud Arora, Poonam Garg, "Face Recognition across Pose using ELM Framework", European Journal of Electrical Engineering and Computer Science, 2(3), 2018. Belgium, DOI: 10.24018/ejece.2018.2.3.23.
- Kumud Arora, Poonam Garg, "Horizontal Vertical Diagonal Binary Pattern Descriptor with PLDA for Pose-Invariant Face Recognition", International Journal of Image, Graphics and Signal Processing (IJIGSP), 10(12), pp. 47-55, 2018. DOI:10.1016/0031-3203(95)00067-4
- Kumud Arora, P.V.Vishwakarma, Poonam Garg "Face Recognition using Two Dimension Fractional Discrete Cosine Domain and BPNN", International Journal of Computer Applications, 113(10), 2015. DOI:10.5120/19865-1842
- Kumud Arora, P.V. Vishwakarma, Poonam Garg, "Radial Basis Function Neural Network Trained with Variant Spread Learning for face recognition", International Journal of Engineering Research & Technology, Vol. 3 - Issue 9, 2014. e-ISSN: 2278-0181
- Kumud Arora, Poonam Garg, "A Quantative Survey of various Fingerprint Enhancement techniques ", International Journal of Computer Applications (0975 -8887) 28(5), 2011. DOI:10.5120/3383-4691
- Kumud Arora, Poonam Garg, "Face Classification across Pose by Using Non-Linear Regression and Discriminatory Face Information", International Conference on Machine Intelligence and Signal Processing (MISP-19), IIIT Allahabad, September 2019. https://doi.org/10.1007/978-981-15-1366-4_4
- Kumud Arora, Poonam Garg, "Entropy Component Correlation Analysis for Cross Pose Face Recognition", International Conference on Communication, Computing and Networking, National Institute of Technical Teachers Training Institute (NITTTR) Chandigarh, March 2018. https://link.springer.com/chapter/10.1007/978-981-13-1217-5_61
- Kumud Arora, Poonam Garg, " Face Pose Normalization Based on Mixed Kernel Extreme Learning Machine Regression", International Conference on Computing For Sustainable Global Development, Bhartiya Vidyapith Institute of Computer Applications and Management, New Delhi, March 2018.
- Kumud Arora, P.V. Vishwakarma, Poonam Garg, "Fractional Discrete Cosine Transformation based Reduced set of coefficients for face recognition", IEEE Xplore proceedings of RAECS'2015, Punjab University. DOI: 10.1109/RAECS.2015.7453379
- Kumud Arora, Poonam Garg , "Quality Assesment based fingerprint segmentation ", in Second International Conference on Advances in Computing and Information Technology (ACITY 2012),July 2012. Included in the proceedings published by Springer in Advances in Intelligent and Soft Computing book Series. DOI: 10.1007/978-3-642-31552-7-58
- Kumud Arora, Poonam Garg, "An approach for mitigating the risks involved in implementation of Aadhaar" in 16th International Research Conference at Dubai (UAE) on 14th April-2012, sponsored by World Business Institute and WBI London.
- Kumud Arora, Poonam Garg, "Fingerprint Classification and singularities detection through Ant Colony Optimization", in 3rd International Conference on Data Management at IMT Ghaziabad on Mar 11-12 -2010
- Kumud Arora, "An Open Software Approach: Fuelling the E-Learning Drive" in Proc. Of International Conference on International Trends in Communication and Information Technology organized at PCTE, Ludhiana during 31st March-2007.
- Sunil K. Pandey, D. Bagchi , Kumud Arora "IT Industry in India: Maintaining a Sustainable Growth" in Proc. of the "International conference on Brand India: Issues, Challenges, and Opportunities" held on 29-30 April 2006, LIM, Jalandhar.
- D. Bagchi, Kumud Arora, Sunil K, Pandey, "Biometrics and Bluetooth: A Proposed Framework for Authentication & Authorization" in Proc. of International Conference on Computer Networks & Wireless Technology organized by VEC along with IEEE Chennai Chapter at Chennai during 28th -31st of Dec, 2005.
- Sunil K Pandey, Kumud Arora, D. Bagchi, "Safeguarding Intellectual Property using Robust Digital Watermarking" in Proc. of International conference On "The Business Transactions- The Road ahead" organized by Inmantec, Ghaziabad in collaboration with UPTU, Lucknow, PHD chamber of Comm. & Industry, KA Foundation (Germany) on 21-23 Nov. 2005.
- Sunil K Pandey, D. Bagchi ,Kumud Arora, "Information and Communication Technology: A Catalyst for Future Roadmap of India" in proc. of "International Conference on Information and Communication Technology" being organized by Computer Society Of India, hosted by CSI, Hyderabad Chapter at Hyderabad during 09th - 12th Nov., 2005.
- Sunil K Pandey, Kumud Arora, D.Bagchi "Analysis of Data Mining Algorithms" in Proc. of "International Conference on Current Trends in IT" organized by SRKR Engineering College, Bhimawaram, AP organized on 01 -03 Oct., 2005.
- Kumud Arora, "Biometric Security" in proc. of "ICCII - 2004" organized by PCTE, Ludhiana at Ludhiana on 27th November, 2004.
Areas of Interest:
Machine Learning /Deep Learning modelling in health care, Image Processing, Data Structures
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