Ankit Rajpal

Naveen Kumar

Professor
Department of Computer Science
University of Delhi



  
Ankit Rajpal

Naveen Kumar

Professor, Department of Computer Science, University of Delhi



  

Biography


Naveen Kumar is a Professor at the Department of Computer Science, University of Delhi, Delhi, India. He holds a Ph.D. degree in Computer Science from IIT, Delhi. Before his doctoral studies, he earned his MTech. (Computer Science) and M.Sc. (Mathematics) degrees from IIT Delhi and an honours degree in Mathematics from the University of Delhi. He has taught undergraduate and postgraduate students various courses and has about 40 years of teaching experience. He has co-authored a book with Sheetal Taneja titled Python Programming, A Modular Approach, published by Pearson Education. He has supervised many PhD students in soft computing and social networks. His current areas of interest include explainable AI, machine learning, and deep learning. He has contributed several articles in national and international journals and conferences. He has been a member of the curriculum design committees of various universities and the CBSE. He has also been an organising chair/program committee member of several workshops, conferences, and symposia.



Academic Qualifications

  • Ph.D. Computer Science*
    Indian Institute of Technology, Delhi

    *Thesis title: Invariance in Computer Vision

  • MTech. Computer science
    Indian Institute of Technology, Delhi

  • M. Sc. Mathematics
    Indian Institute of Technology

  • B. Sc. (Honors) Mathematics
    University of Delhi

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Research Profile


PUBLICATIONS (List of papers published in SCI-indexed Journals)

  • Chanchal Bareja, Kountay Dwivedi, Apoorva Uboveja, Ankit Mathur, Naveen Kumar, and Daman Saluja. "Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformatics." Scientific Reports 14, no. 1 (2024): 9894. (Impact Factor: 4.6, SCIE (Q1))
  • Gaurav Pandey, Rashika Bagri, Rajan Gupta, Ankit Rajpal, Manoj Agarwal, Naveen Kumar. " Robust Weighted General Performance Score for Various Classification Scenarios." Intelligent Decision Technologies (2024). (Impact Factor: 1.0)
  • Onkar Singh, Ajay Jaiswal, Nitin Kumar, and Naveen Kumar. "Random permutation‐based linear regression for cancelable biometrics." Expert Systems (2024). (Impact Factor: 3.3, SCIE (Q2))
  • Aditya Ranjan Dalabehera, Sujit Bebortta, Naveen Kumar, and Dilip Senapati. "Mist-fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0." Internet of Things (2024): 101237. (Impact Factor: 5.9, SCIE (Q1))
  • Ankit Rajpal, Rashmi Mishra, Sheetal Rajpal, Kavita, Varnika Bhatia, Naveen Kumar. "Explaining Deep Learning-Based Leaf Disease Identification." Soft Computing (2024). (Impact Factor: 4.1, SCIE (Q2)) Accepted for Publication
  • Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar. "XL1R-Net: Explainable AI-driven Improved L1-Regularized Deep Neural Architecture for NSCLC Biomarker Identification." Computational Biology and Chemistry (2024): Vol 108, 107990 (Impact Factor: 3.1, SCIE (Q2)), https://doi.org/10.1016/j.compbiolchem.2023.107990.
  • Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Naveen Kumar. "Enlightening the Path to NSCLC Biomarkers: Utilizing the Power of XAI-guided Deep Learning." Computer Methods and Programs in Biomedicine: Accepted for Publication (2023) (Impact Factor: 6.1, SCIE)
  • Ankit Rajpal, Subodh Kumar, Neeraj Kumar Sharma, Ajith Abraham, Anurag Mishra, Naveen Kumar. "CXRmark: A Watermarking Scheme for Chest X-Rays using Online Sequential Reduced Kernel ELM." Circuits, Systems and Signal Processing (2023) (Impact Factor: 2.3, SCIE (Q3))
  • Shikha Gupta, Naveen Kumar, and Subhash Bhalla. "Citation metrics and evaluation of journals and conferences." Journal of Information Science (2023): (Impact Factor: 2.4, SCIE (Q3))
  • 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 (Q1=1.87))
  • Sharma, Neeraj Kumar, 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 (Q1=1.07))
  • Vanshika Dua, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar. "I-FLASH: Interpretable Fake News Detector using LIME And SHAP." Wireless Personal Communications (2023) (Impact Factor: 2.2, SCIE (Q3))
  • Rashmi Mishra, Kavita, Ankit Rajpal, Varnika Bhatia, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar. "I-LDD: An Interpretable Leaf Disease Detector." Soft Computing (2023). (Impact Factor: 4.1, SCIE (Q2))
  • Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Virendra Kumar, Ajith Abraham, Divya Khanna, Naveen Kumar. "XAI-CNVMarker: Explainable AI-based Copy Number Variant Biomarker Discovery for Breast Cancer Subtypes." Biomedical Signal Processing and Control (2023): 104979. (Impact Factor: 5.1, SCIE (Q1=1.07))
  • Sheetal Rajpal, Ankit Rajpal, Arpita Saggar, Ashok K. Vaid, Virendra Kumar, Manoj Agarwal, Naveen Kumar. "XAI-MethylMarker: Explainable AI Approach for Biomarker Discovery for Breast Cancer Subtype Classification using Methylation Data." Expert Systems with Applications (2023): 225, 120130. (Impact Factor: 8.5, SCIE (Q1=1.87))
  • Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Naveen Kumar. "An Explainable AI-driven Biomarker Discovery Framework for Non-Small Cell Lung Cancer Classification." Computers in Biology and Medicine: 153, 106544 (2023) (Impact Factor: 7.7, SCIE (Q1=1.22))
  • 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 (2022): 200, 116860. (Impact Factor: 8.5, SCIE (Q1=1.87))
  • 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 (2022): 103648. (Impact Factor: 2.9, SCIE (Q2))
  • Sheetal Rajpal, Manoj Agarwal, Ankit Rajpal, Navin Lakhyani, Arpita Saggar, and Naveen Kumar. "COV-ELM Classifier: An Extreme Learning Machine based Identification of COVID-19 using Chest X-Ray Images." Intelligent Decision Technologies Pre-Press (2022): 16(1) 193-203 (Impact Factor: 1.0, SCIE (Q4)).
  • Sheetal Rajpal, Navin Lakhyani, Ayush Kumar Singh, Rishav Kohli, and Naveen Kumar. "Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images." Chaos, Solitons & Fractals 145 (2021): 110749. (Impact Factor: 7.8, SCIE (Q1=1.39))
  • Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Anamika Gupta, and Naveen Kumar. "Triphasic deepbrca-a deep learning-based framework for identification of biomarkers for breast cancer stratification." IEEE Access 9 (2021): 103347-103364. (Impact Factor: 3.9, SCIE (Q2))
  • Himani Sharma, Deep Chandra Mishra, R. K. Sharma, and Naveen Kumar. "Multi-image steganography and authentication using crypto-stego techniques." Multimedia Tools and Applications 80, no. 19 (2021): 29067-29093. (Impact Factor: 3.6, SCIE (Q2))
  • Indranath Chatterjee, Manoj Agarwal, Bharti Rana, Navin Lakhyani, and Naveen Kumar. "Bi-objective approach for computer-aided diagnosis of schizophrenia patients using fMRI data." Multimedia Tools and Applications 77 (2018): 26991-27015. (Impact Factor: 3.6, SCIE (Q2))
  • Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, and Naveen Kumar. "Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia." Multimedia Systems 26 (2020): 383-396. (Impact Factor: 3.9, SCIE (Q2))
  • Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, and Naveen Kumar. "Impact of ageing on the brain regions of the schizophrenia patients: an fMRI study using evolutionary approach." Multimedia Tools and Applications 79 (2020): 24757-24779. (Impact Factor: 3.6, SCIE (Q2))
  • D. C. Mishra, Himani Sharma, R. K. Sharma, and Naveen Kumar. "A first cryptosystem for security of two-dimensional data." Fractals 25, no. 01 (2017): 1750011. (Impact Factor: 4.7, SCIE (Q1))
  • Manoj Agarwal, Nitin Agrawal, Shikhar Sharma, Lovekesh Vig, and Naveen Kumar. "Parallel multi-objective multi-robot coalition formation." Expert Systems with Applications 42, no. 21 (2015): 7797-7811. (Impact Factor: 8.5, SCIE (Q1))
  • Manoj Agarwal, Naveen Kumar, and Lovekesh Vig. "Non-additive multi-objective robot coalition formation." Expert Systems with Applications 41, no. 8 (2014): 3736-3747. (Impact Factor: 8.5, SCIE (Q1))
  • Shikha Gupta, Stuti Mittal, Tamanna Gupta, Isha Singhal, Barkha Khatri, Ajay K. Gupta, and Naveen Kumar. "Parallel quantum-inspired evolutionary algorithms for community detection in social networks." Applied Soft Computing 61 (2017): 331-353. (Impact Factor: 8.7, SCIE (Q1))
  • Hanuman Verma, Ramesh K. Agrawal, and Naveen Kumar. "Improved fuzzy entropy clustering algorithm for MRI brain image segmentation." International journal of imaging systems and technology 24, no. 4 (2014): 277-283. (Impact Factor: 3.3, SCIE (Q3))
  • Sonia Deshmukh, Manoj Agarwal, Shikha Gupta, and Naveen Kumar. "MOEA for discovering Pareto-optimal process models: an experimental comparison." International Journal of Computational Science and Engineering 21, no. 3 (2020): 446-456. (ESCI)
  • Arpita Aggarwal, and Naveen Kumar. "SAHAM: shared adaptive hypermedia application model." International journal of computer applications in technology 40, no. 1-2 (2011): 138-145. (ESCI)
  • Himani Sharma, Deep Chandra Mishra, R. K. Sharma, and Naveen Kumar. "Crypto-stego system for securing text and image data." International Journal of Image and Graphics 18, no. 04 (2018): 1850020. (ESCI)
  • Manoj Agarwal, Lovekesh Vig and Naveen Kumar. "Multiple Objective Robot Coalition Formation." Journal of Intelligent Systems 20, no. 4 (2011): 395-413. (ESCI)


PhD Guidance

  • 2006, Ahmed-Al-Hegami, On Quantification of Novelty in Knowledge Discovery Process (jointly with Vasudha Bhatnagar)
  • 2010, Arpita Aggarwal, Evaluation of Adaptive Hypermedia
  • 2013, Charu Puri, Objective Function-based fuzzy subspace clustering
  • 2013, Anamika Gupta, Mining Association rules using Formal Concept Analysis (jointly with Vasudha Bhatnagar)
  • 2014, Manoj Agarwal, Multi-robot coalition formation: a multi-objective perspective
  • 2017, Shikha Gupta, Community Detection in Social Networks: A Quantum-inspired Evolutionary Approach
  • 2019, Indranath Chatterjee, Automated Diagnosis of Schizophrenia and Identification of Affected Brain Regions (jointly with Manoj Agarwal)
  • 2020, Himani Sharma, Securing Digital Data using Crypto-Stego Methods (jointly with RK Sharma)
  • 2022, Sonia Kundu, Evolutionary Framework for Mining Process Models (jointly with Shikha Gupta)
  • 2022, Sheetal Rajpal, Use of Explainable AI in Biomarker Discovery for Breast Cancer Stratification and Interpretation of Proposed COVID-19 Detection Models (jointly with Manoj Agarwal)
  • 2024, Kountay Dwivedi, An Explainable AI-driven Approach to Non-Small Cell Lung Cancer Biomarkers Discovery (jointly with Dr. Ankit Rajpal)


Books Authored


BOOKS

  • Python Programming: A Modular Approach

    Sheetal Taneja; Naveen Kumar

  • Information Practices With Python for Class 12

    Naveen Kumar; Ankit Rajpal; Sheetal Rajpal; Mohini Arora

  • Computer Science with Python for CBSE– Class 11 (Focus on Modularity & Documentation)

    Naveen Kumar; Ankit Rajpal; Sheetal Rajpal; Mohini Arora

  • Computer Science with Python for CBSE– Class 11 (Focus on Documentation)

    Naveen Kumar; Ankit Rajpal; Sheetal Rajpal; Mohini Arora

  • Computer Science with Python for CBSE– Class 12 (Focus on Modularity & Documentation)

    Naveen Kumar; Ankit Rajpal; Sheetal Rajpal; Mohini Arora

  • IT Tools. Class XI Student Handbook (Information Technology Vocational Course)

    Naveen Kumar; Anita Goel; Hema Banati; Sheetal Taneja; Shikha Badhani; Jyotsana Talreja Wassan; Mona Adlakha

  • Database Management Applications. Class XII Student Handbook (Information Technology Vocational Course)

    Naveen Kumar; Anita Goel; Hema Banati; Rakhi Saxena; Sheetal Taneja; Shikha Malik

  • Computer Science Concepts

    Naveen Kumar

BOOKS CHAPTERS

  • Neeraj Kumar Sharma, Subodh Kumar, Ankit Rajpal, and Naveen Kumar (2023). "DWT and Quantization Based Digital Watermarking Scheme Using Kernel OS-ELM" In: Jabeen, S.D., Ali, J., Castillo, O. (eds) Soft Computing and Optimization. SCOTA 2021. Springer Proceedings in Mathematics & Statistics, vol 404. Springer, Singapore.
  • Charu Puri, Akhil Yadav, Gaurav Jangra, Kush Saini, and Naveen Kumar. "Opinion Mining from Social Travel Networks." Hybrid Intelligence for Social Networks (2017): 177-206.
  • Shikha Gupta, Sheetal Taneja, and Naveen Kumar. "Redefining the Classroom: Integration of open and classroom learning in higher education." Macro-level learning through massive open online courses (MOOCs): Strategies and predictions for the future (2015): 168-182.
  • Charu Puri and Naveen Kumar. "Projected Gustafson-Kessel clustering algorithm and its convergence." In Transactions on Rough Sets XIV, pp. 159-182. Springer Berlin Heidelberg, 2011.
  • Vasudha Bhatnagar, Anamika Gupta, and Naveen Kumar. "Algorithms for Association Rule Mining." In Encyclopedia of Artificial Intelligence, pp. 76-84. IGI Global, 2009.
  • Anamika Gupta, Shikha Gupta, and Naveen Kumar. "Mining Frequent Closed Itemsets for Association Rules." In Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, pp. 537-546. IGI Global, 2009.

Work Experience

  • University of Delhi

    Professor, Chair of the Department of Computer Science, and Dean, Faculty of Mathematical Sciences

  • Department of Computer Science, University of Delhi

    Professor

  • Department of Computer Science, University of Delhi

    Associate Professor

  • Department of Computer Science, University of Delhi

    Reader and Head

  • Department of Computer Science, University of Delhi

    Lecturer/Reader



Courses taught recently

  • Python Programming

  • Machine Learning and Deep Learning

  • Automata Theory

  • Compiler Design

  • Data Mining



Selected Recent Lectures

  • Delivered a tutorial (along with my colleagues) on Explaining Machine Learning Decisions at International Joint Conference on Neural Networks.

  • Delivered a keynote talk on Evaluating Machine Learning Models in the 12th International Conference on Cloud Computing, Data Science & Engineering.

  • Delivered an invited talk on Explaining Machine Learning Models at MITA2021, in the 17th International Conference on Multimedia Information Technology and Applications, organized by Korea Multimedia Society (KMMS).

  • Delivered a lecture on Machine Learning Perspective of Artificial Intelligence in a faculty development program organized jointly by Ram Lal Anand College and Teaching Learning Centre of Ramanujan College, University of Delhi.

  • Delivered a lecture on Evaluating Machine Learning Decisions in a faculty development program on Data Science, organized by Aligarh Muslim University.

Miscellaneous


  • Served as a nominated member of the Academic Council, Jawaharlal Nehru University 2021-2022.
  • Serving as chairperson of the Departmental Research Committee of the Indira Gandhi Delhi Technological University.
  • Serving on the Board of Studies (BoS) of the Department of Computer Science at Aligarh Muslim University (AMU), as a co-opted member (External).
  • Serving as an external member on the Computer & Information Services Advisory Committee of Jawaharlal Nehru University.
  • Served as a member on the Board of Studies (Computer Science) of Jamia Millia Islamia, New Delhi (2016-2017).
  • Actively served as member and team-leader of several curriculum design committees. During the time I chaired the department (October 2002- October 2005) the department introduced M.Sc. Computer Science program. During the second time I chaired the department (October 2022 - till date), the department introduced an M.Tech. program in Computer Science.
  • Serving as a reviewer for several journals and conferences.
  • Served as organizing Secretary (2006) and Program Co-chair (2023) of the International Conference on Big Data Analytics. I was also a founder member of the core group of this conference. Led teams of teachers in developing content for Information Technology for the students of class XI and XII for the Central Board of Secondary Education.
  • Served on several selection committees for the appointment and promotion of faculty members.
  • Served as a member and chair of several moderation committees for moderating the question papers for various examinations.
  • Served as faculty advisor to the Delhi University Computer Science Society – a society of the students at the Department of Computer Science, University of Delhi, which organizes an annual technical event in addition to several cultural events