Personal Information

Dr. Subodh Kumar

Assistant Professor
Department of Data Science & Analytics

Ph.D.

[email protected]
  • Data Hiding
  • Machine Learning
  • Deep Learning
  • Explainable AI
  • Metaheuristic Algorithms
  • Use of AI in Medical Domain 
  • Ph.D. in Computer Science, University of Delhi, 2019-2023.  
  • M.Sc. in Computer Science, University of Delhi, 2017-2019.
  • B.Sc. (H) in Computer Science, University of Delhi, 2014-2017.

Awards/Achievements

  • Qualified GATE 2024 Data Science and Artificial Intelligence
  •  Qualified GATE 2024 Computer Science and Information Technology
  • UGC Senior Research Fellowship from 5 November 2021 to 7 August 2023.
  • UGC Junior Research Fellowship from 5 November 2019 to 4 November 2021.
  • Qualified National Eligibility Test (NET) conducted by U.G.C. in Computer Science and Applications subject with 99.1 percentile in December 2018 and awarded with Junior Research Fellowship (JRF).

M.Sc./MCA Major Project Guidance

  • Tanya Gupta (M.Sc. Comp. Sci.), Use of machine learning and XAI techniques for predicting level of anesthesia, 2023.
  • Anamika and Shweta (MCA), Digital watermarking scheme for grayscale images using discrete wavelet transform, 2023.
  • Sanjeev (M.Sc. Comp. Sci.), An Adaptive Digital Image Watermarking Method using ELM and Swarm-based Optimization Algorithm, 2023. 
S. No. Authors Title of Article Journal/Conference Details Journal/Conference Publication Year
1 Neeraj Kumar Sharma, Sakeena Shahid, Naveen Kumar, Subodh Kumar, Tanya Gupta, Sanjeev Sharma, Rakesh Kumar Gupta An XAI-Based Scheme to Assess Depth of Anesthesia (Communicated)  Journal
  1. Subodh Kumar, Neeraj Kumar Sharma, and Naveen Kumar. “WSOmark: An Adaptive Dual-purpose Color Image Watermarking using White Shark Optimizer and Levenberg-Marquardt BPNN”. Expert Systems with Applications 226 (2023): 120137. (Impact Factor: 8.5, SCIE, Scopus)
  2. Neeraj Kumar Sharma, Subodh Kumar, Ankit Rajpal, and Naveen Kumar. "MantaRayWmark: An image adaptive multiple embedding strength optimization based watermarking using Manta Ray Foraging and bi-directional ELM." Expert Systems with Applications 200 (2022): 116860. (Impact Factor: 8.5, SCIE, Scopus)
  3. Neeraj Kumar Sharma, Subodh Kumar, and Naveen Kumar. "HGSmark: An efficient ECG watermarking scheme using hunger games search and Bayesian regularization BPNN." Biomedical Signal Processing and Control 83 (2023): 104633. (Impact Factor: 5.1, SCIE, Scopus)
  4. Subodh Kumar, Ankit Rajpal, Neeraj Kumar Sharma, Sheetal Rajpal, Anand Nayyar, and Naveen Kumar. "ROSEmark: Robust semi-blind ECG watermarking scheme using SWT-DCT framework." Digital Signal Processing 129 (2022): 103648. (Impact Factor: 2.9, SCIE, Scopus)
  5. Ankit Rajpal, Subodh Kumar, Neeraj Kumar Sharma, Ajith Abrahim, Anurag Mishra,  and Naveen Kumar. "CXRmark: A Watermarking Scheme for Chest X-Rays using Online Sequential Reduced Kernel ELM”. Circuits, Systems, and Signal Processing (2023), 1-29. (Impact Factor: 2.3, SCIE, Scopus)
  6. Neeraj Kumar Sharma, Subodh Kumar, Ankit Rajpal, and Naveen Kumar. "DWT and Quantization Based Digital Watermarking Scheme Using Kernel OS-ELM." In Soft Computing and Optimization: SCOTA 2021, Ranchi, India, March 26–27, pp. 313-328, Proceedings in Mathematics & Statistics. Singapore: Springer Nature Singapore, 2023. (Scopus Indexed)

Attended

  1.   Presented a paper titled “Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network” at the 3rd International Conference on AI-ML Systems, 2023, Bangalore held during 25th-27th October 2023.
  2.   Presented a paper titled "Comparative Study of Wavelet Transformations for Digital Watermarking”, In: Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021) organized by BIT Mesra Ranchi during 26th-27th March 2021.
  3.   Presented a paper titled "DWT and Quantization based Digital Watermarking using Backpropagation Neural Network”, In: Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021) organized by BIT Mesra Ranchi during 26th-27th March 2021.
  4.   Resource Person one week FDP on “Introduction to Machine Learning in Research” organized by Ram Lal Anand College, University of Delhi under Pandit Madan Mohan Malviya National Mission on Teachers and Teaching (PMMMNMTT) from 10th Oct. 2020 to 18th Oct. 2020.
  5.   Certificate Course. “Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital”. Coursera, Nov. 2021, offered by Duke University. 
  6.   Attended one week FDP on “Digital Image Processing and Analysis: Applications with Practicals” organized by Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi in collaboration with Mahatma Hansraj Faculty Development Centre (MHRFDC), Hansraj College held during April 25 - 30, 2022.
  7.   Attended 40 hours online FDP on “Security in Distributed Machine Learning” organized from 18-28 August 2020, organized by Electronics & ICT Academy, NIT Wrangal and Vishnu Institute of Technology, Bhimavaram. 
  8.   Attended One week “High-end workshops for Enriching the Minds of the talented researchers and students with the Data Science and Analytical Tools and Techniques”, organized by Department of Management Studies, IIT(ISM) Dhanbad and sponsored by SERB, DST, Govt. of India. This workshop was from 28th June 2021 to 2nd July 2021.
  9.    Attended one-week short-term course on “Data Analytics and Predictive Technologies” organized by I-DAPT Hub Foundation, IIT BHU held during 5th-10th July 2021. 
  10.   Attended one-week Continuing Education Programme on “Big Data Image Processing using Deep Learning Techniques” organized by Department of Computer Science & Engineering in association with Centre for Continuing Education, NIT Warangal, held during 27th -31st July 2020.
  11.   Attended one week IEEE 2022 SPS Seasonal School on “AI for Optimization in Signal Processing (AIOSP)” organized by IEEE Signal Processing Society Delhi Chapter from 11 July 2022 to 15 July 2022.
  12.   Attended four days “RBCDSAI DAI BootCamp – XAI Edition” organized by Robert Bosh Centre for Data Science and Artificial Intelligence, IIT Madras, conducted from 24th- 28th august 2021.
  13.   Attended two days “First Conference on Deployable AI” organized by Robert Bosh Centre for Data Science and Artificial Intelligence, IIT Madras, conduced from 16th - 18th June 2021.
  14.   Attended a webinar on “Essential Tips for Publishing in High Impact Journals” conducted on 08th   September 2021, organized by Cell Press.
  15.   Attended a webinar “ACS Guide for Scholarly Communication Expert Advice for Early Career Researchers” organized by ACS Publications on 27th May 2020