Kumud Kundu

Kumud KunduHoD( AIML ) & Professor

Professional Qualifications

  • PhD: CS
  • M.Tech, MCA: CS
  • UGC-NET: (CS) Qualified

Teaching Experience

23 years of experience in teaching.

Subjects of Interest

Generative Machine Learning, Deep Learning, Speech & Language Processing, Blockchain, Digital Image processing, Design and Analysis of Algorithms, Data Analytics, Data Structure.

Academic Achievements

NPTEL Discipline Star. NPTEL Silver in Foundation of Cloud IOT Edge ML, Data Analytics with Python, Deep Learning, Problem Solving using C. 1.Publications in reputed Journals International Journals(8)
  • Manoj Kumar Yadav, Kumud Arora, Sudhir Kumar, & Ajay Kumar, Micro-hardness evaluation of the bobbin tool-friction stir welded AA6063 using regression-based machine learning”. Materials Letters, 134751, (2023).DOI: 10.1016/j.matlet.2023.134751 (SCI Indexed , Impact Factor:3.5).
  • Kumud Arora, Poonam Garg, “Fusion of Logically Concatenated - Cross Binary Pattern and ε –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, 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.
Patents Published (4)
  • Dr. Kumud Kundu, Dr.Tripti Sharma, Dr. Sanjeev Kumar Prasad, Dr. Anjali Singhal, Ms. Shraddha Srivastava “SYSTEM AND METHOD TO IDENTIFY A PERSON FROM THE MULTIPLE POSE IMAGES”, Patent Number : 202111046770, Oct'2021, [Published].
  • Dr. Sanjeev Kumar Prasad, Dr.Tripti Sharma, Dr. Kumud Kundu, Dr. Anjali Singhal, Nidhi Agrawal,“METHOD AND SYSTEM TO REGISTER A MULTIMEDIA ATTACHMENT OF AN ELECTRONIC COMMUNICATION MESSAGE”, Patent Number : 202111044320, Sep'2021, [Published].
  • Inderprastha Engineering College, Pulkit Tyagi, Dr. Diksha Dani, Ms. Shraddha Srivastava, Ms. Annu Mishra, Ms. Monika, Garima Singh, Shivangi Gupta, Shrestha Agarwal, Dr. Kumud Kundu, “Disaster Management Using UAV Drones”, Patent No. 202211020009, 08 April’2022 [Published].
  • Inderprastha Engineering College, Ayush Kumar Singh, Chandni Anwar Ansari, Charu Kumar, DevangiVerma, Dr. Anjali Singhal, Dr. Kumud Kundu, Ms. Archana Agarwal, Ms. Swapna Singh, Mr. Ajay Kumar“Smart Dustbin”, Patent No. 202311008727, 10 Feb’2023 [Published and submitted for grant].
International Conferences (15)
  • 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, BhartiyaVidyapith 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 SecondInternational 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 Aril’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.
  • 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.
Book Chapters: Tripti Sharma, Kumud Kundu, Anjali Singhal, “ Machine learning /deep learning for Natural disasters”, inApplications of Artificial Intelligence, Big Data, and Internet of Things (IoT) in Sustainable Development” to be published by CRC Press, Taylor & Francis Group https://doi.org/10.1201/9781003245469 Publications with Students in Last Three Years (6)
  • Kumud Kundu, Adarsh Goswami, “Classification of Yoga Poses using Integration of Deep Learning and Machine Learning Techniques”, 10th International Conference on Recent Trends in Computing (ICRTC-2022) on 3rd – 4th June 2022, SRMIST, Delhi-NCR Campus, Ghaziabad.
  • Kumud Kundu, Adarsh Goswami, Abi Dogra, Anubhav Bajpai, Anish Tripathi,,”Face Recognition using Siamese NN by single shot learning”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 11, Issue 4, April 2022, DOI: 10.17148/IJARCCE.2022.11462,https://ijarcce.com/wpcontent/uploads/2022/05/IJARCCE.2022.11480.pdf
  • Kumud Kundu, Anurag Mishra, Ashish Kumar Singh, ApuravSHarma, Parth Arun, “An Exploratory study of ML Techniques in Football's Match Result Prediction”, https://ijarcce.com/papers/an-exploratory-study-of-ml-techniques-in-football-matchs-result-prediction/ DOI: 10.17148/IJARCCE.2022.11489, Vol. 11, Issue 4 , April 2022.
  • Shashank Singh, Yash Aggarwal and Kumud Kundu. Quantitative Analysis of Forthcoming ICC Men’s T20 World Cup 2020 Winner Prediction using Machine Learning. International Journal of Computer Applications 176(32):46-51, June 2020.
  • Kumud Kundu, Aman Verma, Bulbul Tyagi, Prashant Vashisth, “Visualization of Midline Diastema Fixing”, International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 06 | June 2020, https://www.irjet.net/archives/V7/i6/IRJET-V7I6233.pdf.
  • Kumud Kundu, Rahul Pandey, Pankaj Bhatt, Riya Kakkar, “An Exploratory Study of Collaborative Filtering Vs. Content Based Movie Recommendation”, Journal of Information and Computational Science,http://www.joics.org/gallery/ics-3652.pdf.
Faculty Development Program/STTP/workshop/Conferences Organized:
  • Organizingcommittee member in the National Conference on“Advances in Computer Science and Technology (ACST-2014), held on 16th February 2014 organized by  Swami Vivekanand College of  Engineering, Indore.
  • Organizing committee member in the National Conference on“Advances in Computer Science and Technology (CST-2015), held on 31stOctober 2015 organized by  Swami Vivekanand College of  Engineering, Indore.
Faculty Development Program/STTP/workshop attended:
  • Attended training on Data Analytics with cognos from 26th-30th September 2023 at  Inderprastha Engineering College, Ghaziabad
  • Workshop on Mission 10X conducted by Wipro in September 5,2011(CERTIFIED)
  • Conference on Intelligent Systems, organized by Chameli Devi Group of Institutions (NCIS-2012), Indore, held on 5th October 2012
  • IT Education and Industry Needs-Gaps, Concerns and Solutions by N.C. college of Engineering, Israna, Panipat (24 -25March 2006)

Area of Interest

Blockchain, Deep Learning/Machine Learning in healthcare