Ankit Rajpal

Ankit Rajpal

Assistant Professor
Department of Computer Science
University of Delhi



  
Ankit Rajpal

Ankit Rajpal

Assistant Professor, Department of Computer Science, University of Delhi



  

Biography


Ankit Rajpal has been an Assistant Professor in the Department of Computer Science at the University of Delhi since November 2020. He has recently been awarded a research publication award. He has completed some research projects. He has a patent for a video watermarking tool developed for MPEG-4 AVC videos. He has a PhD in image and video watermarking from the Department of Computer Science, University of Delhi. His research interests include machine learning, explainable AI, watermarking, and data mining. He has published several papers in reputed international journals and conference proceedings. Beyond research, he has co-authored books aligned with the CBSE-prescribed syllabus on computer science and informatics practices. He obtained his M.Sc. and B.Sc. Honours degrees in Computer Science from the University of Delhi. He possesses around 11 years of teaching experience at the undergraduate level. He has been actively involved in curriculum design for undergraduate and postgraduate courses. His commitment to excellence is evident through his continuous efforts to enhance teaching skills, marked by successful participation in various faculty development programs and Massive Open Online Courses (MOOCs). His dedication extends beyond the classroom, as he has played a pivotal role in organizing workshops for computer science educators in schools and colleges.

Academic Qualifications

  • Ph.D. Computer Science*
    Department of Computer Science, University of Delhi

    *Thesis title: Watermarking Schemes of Images and Videos using Extreme Learning Machine and its Variants

  • M.Sc. Computer Science
    Department of Computer Science, University of Delhi

  • B.Sc. (Hons.) Computer Science
    Deen Dayal Upadhyaya College, University of Delhi



Related Qualifications

  • Qualified UGC National Eligibility test (NET) for Lectureship.

  • Qualified GATE- with 98.63 percentile.

Research Profile


Research Award/ Grant

  • A sum of Rs. 100,000/- based on CiteScore from Scopus for the published research paper titled “XAI-MethylMarker: Explainable AI Approach for Biomarker Discovery for Breast Cancer Subtype Classification using Methylation Data” in the Q1 journal by the Institution of Eminence, University of Delhi.

    • PhD Guidance

  • Awarded, 2024, Kountay Dwivedi, An Explainable AI-driven Approach to Non-Small Cell Lung Cancer Biomarkers Discovery (jointly with Prof. Naveen Kumar)
  • Ongoing, Rashika Bagri (joining Date: 03 February 2022)
  • Ongoing, Madhu Kashania (Joining Date: 15 February 2023)
  • Ongoing, Bhomic Kaushik (jointly with Prof. Naveen Kumar) (Joining Date: 23 October 2023)

Patent

  • Ankit Rajpal, Anurag Mishra, and Rajni Bala. System and method for watermarking MPEG-4 Advanced Video Coding (AVC) videos . Indian Patent Office, assignee. Patent 346917. 16 Sept. 2020.

    • Journal Publications

  • Gaurav Pandey, Rashika Bagri, Rajan Gupta, Ankit Rajpal, Manoj Agarwal, Naveen Kumar. "Robust Weighted General Performance Score for Various Classification Scenarios Intelligent Decision Technologies." Intelligent Decision Technologies (2024), 18(3), 2033-2054. (Impact Factor: 0.6, SCIE (Q4)) https://doi.org/10.3233/IDT-240465.
  • Ankit Rajpal, Rashmi Mishra, Sheetal Rajpal, Kavita, Varnika Bhatia, Naveen Kumar. "Explaining Deep Learning-Based Leaf Disease Identification." Soft Computing (2024). (Impact Factor: 3.1, SCIE (Q2)) https://doi.org/10.1007/s00500-024-09939-x.
  • Kountay Dwivedi, Anshuman Gupta, Ankit Rajpal, Naveen Kumar. "Deep Learning-based NSCLC Classification from Whole-Slide Images: Leveraging Expectation-Maximization and InceptionV3." Procedia Computer Science (2024): Vol 235, 2422–2433, https://doi.org/10.1016/j.procs.2024.04.229.
  • 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: 2.6, SCIE (Q2)), https://doi.org/10.1016/j.compbiolchem.2023.107990.
  • Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar. "Enlightening the Path to NSCLC Biomarkers: Utilizing the Power of XAI-guided Deep Learning." Computer Methods and Programs in Biomedicine (2024): Vol 243, 107864 (Impact Factor: 4.9, SCIE (Q1)), https://doi.org/10.1016/j.cmpb.2023.107864.
  • 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), 43(2), 965-993. (Impact Factor: 1.8, SCIE (Q3)), https://doi.org/10.1007/s00034-023-02491-3.
  • Vanshika Dua, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar. "I-FLASH: Interpretable Fake News Detector using LIME And SHAP." Wireless Personal Communications (2023): 131, 2841–2874 (Impact Factor: 1.9, SCIE (Q3)), https://doi.org/10.1007/s11277-023-10582-2.
  • 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: 3.1, SCIE (Q2)) https://doi.org/10.1007/s00500-023-08512-2
  • 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): Vol. 84, 104979. (Impact Factor: 4.9, SCIE (Q1)) https://doi.org/10.1016/j.bspc.2023.104979
  • 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): Vol. 225, 120130. (Impact Factor: 7.5, SCIE (Q1)) https://doi.org/10.1016/j.eswa.2023.120130
  • Ankit Rajpal, Khushwant Sehra, Anurag Mishra, Girija Chetty. "A low-resolution real-time face recognition using extreme learning machine and its variants." The Imaging Science Journal (2023), 71(5), 456-471, (Impact Factor: 1.1, SCIE (Q4)) https://doi.org/10.1080/13682199.2023.2183544
  • 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: Vol. 153, 106544 (2023) (Impact Factor: 7, SCIE (Q1)) https://doi.org/10.1016/j.compbiomed.2023.106544
  • Ankit Rajpal, Khushwant Sehra, Rashika Bagri, and Pooja Sikka. "XAI-FR: Explainable AI-Based Face Recognition Using Deep Neural Networks." Wireless Personal Communications (2022): 129(1) 663-680. (Impact Factor: 1.9, SCIE (Q3)) https://doi.org/10.1007/s11277-022-10127-z
  • 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: 7.5, SCIE (Q1)) https://doi.org/10.1016/j.eswa.2022.116860
  • 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)) https://doi.org/10.1016/j.dsp.2022.103648
  • 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: 0.6, SCIE (Q4)). https://doi.org/10.3233/IDT-210055
  • Ankit Rajpal, Anurag Mishra, and Rajni Bala. "A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine." Applied Soft Computing 74 (2019): 603-620, (Impact Factor: 7.2, SCIE (Q1)). 10.1016/j.asoc.2018.10.043
  • Ankit Rajpal, Anurag Mishra, and Khushwant Sehra. "A novel OS-ELM classifier based on HOG feature extraction and Viola Jones Algorithm for facial recognition." Issues in Information Systems 20, no. 2 (2019). https://www.iacis.org/iis/2019/ 2_iis_2019_117-127.pdf
  • Anurag Mishra, Ankit Rajpal, and Rajni Bala. "Bi-directional extreme learning machine for semi-blind watermarking of compressed images." Journal of Information Security and Applications 38 (2018): 71- 84. (Impact Factor: 3.8, SCIE (Q2)). https://doi.org/10.1016/ j.jisa.2017.11.008

    • Conference Proceedings

  • Madhu Kashania, Ankit Rajpal, Sheetal Rajpal and Naveen Kumar (2024). “Revealing the Unseen: Explainable AI-Driven Masked Face Recognition” 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-7, 10.1109/IJCNN60899.2024.10649984
  • 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. https://doi.org/10.1007/978-981-19-6406-0_25
  • Shweta Wadhera, Deepa Kamra, Ankit Rajpal, Aruna Jain, & Vishal Jain (2021). “A Comprehensive Review on Digital Image Watermarking.” In WCNC-2021: Workshop on Computer Networks & Communications (pp. 126-143). CEUR Workshop Proceedings (CEUR-WS.org), http://ceur-ws.org/Vol-2889/PAPER_14.pdf
  • Khushwant Sehrawat, Ankit Rajpal, Anurag Mishra, & Girija Chetty (2019). “HOG Based Facial Recognition Approach Using Viola Jones Algorithm and Extreme Learning Machine.” In International Conference on Computational Science and Its Applications (pp. 423-435). Springer, Cham., DOI: https://doi.org/10.1007/978-3-030-24308-1_35
  • Ankit Rajpal, Anurag Mishra, and Rajni Bala. "Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machine” In International Joint Conference on Neural Networks (IJCNN), pp. 1361-1366. IEEE, 2017. DOI: 10.1109/IJCNN.2017.7966011
  • Anurag Mishra, Ankit Rajpal, and Rajni Bala. "Fast semi-blind color image watermarking scheme using DWT and extreme learning machine." In International Conference on Computational Science and its Applications, pp. 63-78. Springer, Cham, 2017. DOI: https://doi.org/10.1007/978-3-319-62407-5_5
  • Ankit Rajpal, Anurag Mishra, and Rajni Bala. "Extreme learning machine for semi-blind grayscale image watermarking in DWT domain." In International Symposium on Security in Computing and Communication, pp. 305-317. Springer Singapore, 2016. DOI: https://doi.org/10.1007/978-981-10-2738-3_26
  • Ankit Rajpal, Anurag Mishra, and Rajni Bala. "Multiple scaling factors based semi-blind watermarking of grayscale images using OS-ELM neural network" In International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1-6. IEEE, 2016. DOI: 10.1109/ICSPCC.2016.7753622
  • Ankit Rajpal, Anurag Mishra, and Rajni Bala. "Robust blind watermarking technique for color images using online sequential extreme learning machine." In International Conference Computing, Communication and Security (ICCCS), pp. 1-7. IEEE, 2015. DOI: 10.1109/CCCS.2015.7374127


Journals/Conferences Editorial Board Member/ Invited Reviewer


  • Nature Scientific Reports (EBM)
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Artificial Intelligence
  • Knowledge Based Systems, Elsevier
  • Applied Soft Computing, Elsevier
  • Computers in Biology and Medicine, Elsevier
  • Expert Systems with Applications, Elsevier
  • Biomedical Signal Processing and Control, Elsevier
  • Soft Computing, Springer
  • The Journal of Supercomputing, Springer
  • Cluster Computing, Springer
  • IEEE Multimedia
  • Multimedia Systems, Springer
  • Technology and Health Care, IoS Press
  • Intelligent Decision Technologies, IoS Press
  • Information Security Journal: A Global Perspective, Taylor and Francis
  • IET:Image Processing, Taylor and Francis
  • Sensor Review, Emerald Publishing
  • Big Data Analytics (BDA 2020)
  • International Conference on Image, Video Processing and Artificial Intelligence (IVPAI2019)


Research Guidance

  • Mentored a M.Sc. Research Project titled: Semi-blind watermarking of grayscale and colored Images in year 2023-24.
  • Mentored a M.Sc. Research Project titled: Adaptive Basal-Glucagon Advisor for Type 1 Diabetes Management Using Deep Q Learning in year 2023-24.
  • Mentored a M.Sc. Research Project titled: Fast and Precise Automated Road-area Segmentation in Images using Deep Neural Networks in year 2023-24.
  • Mentored a M.Sc. Research Project titled: Autoencoder-Based Feature Extraction for Software Change Proneness Prediction in year 2023-24.
  • Mentored a M.Sc. Research Project titled: Multiple embedding strength optimization based semi-blind watermarking using bio-inspired algorithms in year 2022-23.
  • Mentored a M.Sc. Research Project titled: Lung cancer detection on whole-slide tissue images using patch-based weakly-supervised learning in year 2022-23.
  • Mentored a M.Sc. Research Project titled: Digital Image Watermarking in year 2022-23.
  • Mentored a M.Sc. Research Project titled: Leaf Disease Detection using Machine Learning Techniques in year 2022-23.
  • Mentored a M.Sc. Research Project titled: Fake News Detection in year 2022-23.
  • Mentored a M.Sc. Research Project titled : Leaf Disease Detection in year 2021-22.
  • Mentored a M.Sc. Research Project titled : Fake News Detection in year 2021-22.
  • Mentored a M.Sc. Research Project titled : COVID-19 Detection Using Chest X-Rays in year 2021-22.
  • Mentored a M.Sc. Research Project titled : Face Mask Detection in year 2021-22.
  • Mentored a M.Sc. Research Project titled : Face Recognition using Deep Neural Networks during Jan-June 2021.
  • Mentored a M.Sc. Research Project titled “ECG Signal watermarking in DWT domain using ELM” in year 2018-19.


Funded Projects


  • Enhancing Interpretability in Leaf Disease Detection: Evaluating Segmentation Algorithms with LIME

    • Project Duration: 1 year
    • Funding Agency: Faculty Research Programme Grant - IoE, University of Delhi
    • Role: Principal Investigator
    • Year: 2023-24
    • Sanctioned Amount: 4 Lakhs
    • Status: Completed

  • Interpretable Image-based Leaf Disease Detection

    • Project Duration: 1 year
    • Funding Agency: Faculty Research Programme Grant - IoE, University of Delhi
    • Role: Principal Investigator
    • Year: 2022-23
    • Sanctioned Amount: 3 Lakhs
    • Status: Completed

  • Interpretable Models for Omic-based Lung Cancer Classification

    • Project Duration: 1 year
    • Funding Agency: Faculty Research Programme Grant - IoE, University of Delhi
    • Role: Principal Investigator
    • Year: 2021-22
    • Sanctioned Amount: 1.75 Lakhs
    • Status: Completed


Books Authored


Resource Person

  • Delivered a session titled “Cryptographic Algorithms in Cyber Security” in a short-term certificate course on 'Cyber Security' organised by CYBERX, Delhi Public School, R. K. Puram in collaboration with Deen Dayal Upadhyaya College, University of Delhi on July 17, 2024.
  • Presented a paper titled "Revealing the Unseen: Explainable AI-Driven Masked Face Recognition" at the International Joint Conference on Neural Networks organized under IEEE World Congress on Computational Intelligence held between 30 June- 05 July 2024 in Yokohama, Japan.
  • Delivered two sessions in a hands-on workshop on “Data Analysis and Visualisation using Python” organized by the Department of Computer Science at Mata Sundri College for Women, University of Delhi, on 23 February 2024.
  • Contributed as a Judge in Round 2 Dark Patterns Buster Hackathon held in Hansraj College, University of Delhi on 31 January, 2024.
  • Invited as a Judge to evaluate Robotics event in 'Geek-A-Hertz 2023' – An Annual International Computer Technical-Festival held at St. Mark’s Sr. Secondary Public School on 30 November, 2023.
  • Delivered two sessions in a three-day Faculty development programme on "Python in Finance" organized by IQAC, Bharati College, University of Delhi held during 23-25 November 2023.
  • Invited as a subject expert/jury member to evaluate research projects in Avlokan 2023 organized by Centre of Research, Maitreyi College, University of Delhi, India on 03 November, 2023.
  • 30 hours Add-on course on Fundamentals of Python organized by Centre for Professional Development at Sri Guru Gobind College of Commerce held during 22 August 2023- 25 September 2023.
  • Delivered a talk in three weeks technical training programme: Attachment of DANICS Probationers (59th Batch) with Delhi Technological University organized by Human Resource Development Centre (HRDC) in association with Directorate of Training (Union Territories Civil services), Govt. of NCT of Delhi from 11th- 29th September, 2023.
  • Delivered a lecture at Faculty Development Program on "MATLAB & its Applications in AI & ML" organized by Sridev Suman Uttarakhand University, Rishikesh held during August 16-21, 2023.
  • Delivered a Tutorial on "Explaining Machine Learning Decisions" at International Conference on Neural Networks held in Queensland, Australia during 18-23 June 2023
  • Delivered a training programme on "Programming using Python: SQL connectivity using Python, Exception handling, Numpy and Visualization" during three-day capacity building programme for computer science teachers organized by DAV Centre for Academic Excellence, DAV College Managing Committee from 02-04 May 2023.
  • Delivered three sessions as a resource person in a two-week FDP Computer Algebra Systems organized by Mahatma Hansraj Faculty Development Centre, Hans Raj College, University of Delhi in collaboration with IQAC, Ramjas College during 22 March-03 April 2023.
  • Delivered two sessions on “Data Handling using Python” in a two-week online FDP organized by Department of CSE, School of Computing Department of EEE, School of Electrical Engineering Bharath Institute of Higher Education and Research, Chennai in association with National Institute of Technology, Warangal on 5-6 August 2022.
  • Delivered lectures in Two-week FDP Python: Essentials, Programming and Analytics organized by University of Delhi in collaboration with Guru Angad DevTeaching Learning Centre of the Ministry of Education (PMMMNMTT scheme) during 27 Oct-03 Nov 2022.
  • Invited as a subject expert/jury member to evaluate research projects in Avlokan 2022 organized by Centre of Research, Maitreyi College, University of Delhi, India on 28 September, 2022
  • Invited as a Judge to evaluate innovative projects in ‘Geek-A-Hertz 2022’ – An Annual International Computer Technical-Festival held at St. Mark’s Sr. Secondary Public School on 23 November, 2022.
  • Computer Literacy Program using MS-Office organized by Committee for Special Programs for Learners under the aegis of IQAC, Deen Dayal Upadhyaya College, University of Delhi on 29 November, 2020.
  • Workshop on Computer literacy program for Business Applications on 18 December, 2019.
  • Workshop on Python Programming during 15-16 November 2019 at Bal Bharati Public School, Gangaram, Delhi.
  • Workshop on Python: Programming and Applications held during 26-28 September 2018 at Deen Dayal Upadhyaya College.
  • Workshop for Computer Teachers on Programming with Python at Bal Bharti Public School (BBPS) Training Centre, Pitam Pura during 16-17 March 2018.
  • Workshop on FOSS and Shell Programming held on 18th August, 2017 at Deen Dayal Upadhyaya College.
  • Workshop on Linux Foundation Training organized under Science Foundation Committee at Deen Dayal Upadhyaya College during 29-30 March 2017.
  • Workshop on Python Programming for School Teachers, BBPS Training Centre during 8-9 September 2014.


Development Activities

  • Completed a online course on “Supervised Machine Learning: Regression and Classification” authorized by DeepLearning.AI and Stanford University and offered through Coursera during February 06, 2024 to February 25, 2024. E-certification: https://coursera.org/verify/RY5XYVGK99SP
  • Two-week Faculty Development program (FDP) on "Research Methodology and Data Analysis" held from 14 December 2023 - 28 December 2023 organized by Teaching Learning Centre, Ramanujan College, University of Delhi under the aegis of Ministry of Education PMMMNMTT scheme.
  • One-week Faculty Development Program (FDP) on "Research writing and Mathematical typesetting with LaTeX" held from 07 December 2023 - 13 December 2023 organized by Teaching Learning Centre, Ramanujan College, University of Delhi in Collaboration with Ramlal Anand College, University of Delhi under the aegis of Ministry of Education PMMMNMTT scheme.
  • Three-day Faculty Development Program (FDP) on CyberSecurity, High Performance Computing, AI/ML and GenAI organized by Delhi University Computer Centre, University of Delhi held during October 4-6, 2023.
  • One-week Faculty Development Program (FDP) on "Python with Data Analytics" held from 07 August 2023 - 13 August 2023 organized by Teaching Learning Centre, Ramanujan College under the aegis of Ministry of Education PMMMNMTT scheme.
  • Completed a MOOC titled “6.86x: Machine Learning with Python-From Linear Models to Deep Learning”- a course of study offered by MITx, an online learning initiative of the Massachusetts Institute of Technology during Feb 05, 2023 - May 19, 2023. E-certification: https://courses.edx.org/certificates/bf833fdf973a4492811961d98f4830d9
  • International Webinar on "Digital Health" on 20th September 2022 organised by the Department of Computer Science, Maitreyi College, University of Delhi, India. The session was presented by Prof. Huiru (Jane) Zheng from Ulster University, UK.
  • Cybersecurity Awareness Quiz, organized by the Department of Computer Science, Maitreyi College (University of Delhi), on the occasion of Cyber Jaagrookta Diwas, 06th October 2022.
  • Completed an MOOC on “Computer Vision Basics” authorized by University at Buffalo, The State University of New York and offered through Coursera during August 24, 2022 to September 8, 2022. E-certification: https://coursera.org/verify/QK3A6UGFUDUL
  • One-week Faculty Development Programme 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, Hansraj College, University of Delhi held from 25 April 2022 - 30 April 2022.
  • Three-day lecture series on “NEP 2020: Delhi University Undergraduate Curriculum Framework 2022” organized by Institute of Lifelong Learning, University of Delhi in collaboration with Mahatma Hansraj Faculty Development Centre, Hansraj College, University of Delhi on 27th – 29th January 2022.
  • 5-day Bootcamp on Explainable AI organized under Robert Bosch Centre for Data Science and Artificial Intelligence, IIT Madras during 24-28 August 2021.
  • National Webinar on “Machine learning and its applications” organized by Department of Computer Science, Maitreyi College, University of Delhi, on 21 August 2021.
  • Three-week MOOC on "AI for Medical Diagnostics" an online non-credit course authorized by DeepLearning.AI at Stanford University offered through Coursera during February 1, 2021 – February 21, 2021. E-Certification: https://coursera.org/verify/CSFEE7HYMSZM
  • One-week Faculty Development Program (FDP) on "E-Content Development and Online Teaching" held from 07 February 2021 - 14 February 2021 organized by Teaching Learning Centre, Ramanujan College under the aegis of Ministry of Education PMMMNMTT scheme.
  • Four-week Faculty Induction Program/Orientation Programme for "Faculty in Universities/Colleges/Institutes of Higher Education" held from 11 January 2021 - 09 February 2021 organized by Teaching Learning Centre, Ramanujan College under the aegis of Ministry of Education PMMMNMTT scheme.
  • One-week Faculty Development Program (FDP) on "E-Learning and Developing MOOCs for Teaching Process in Higher Education" held from 14 December 2020 - 20 December 2020 organized by Teaching Learning Centre, Ramanujan College under the aegis of Ministry of Education PMMMNMTT scheme.
  • Special public lecture on National Education Policy 2020 - Strategy for Self-Reliant India on 25 August 2020.
  • Webinar entitled COVID-19: Impact on Digital Media organized by Department of Computer Science, Vivekananda College on 6 May 2020.
  • Webinar on COVID-19 Impact, Strategies for Education and Challenges in Virtual Learning organized by Sri Guru Gobind Singh College of Commerce on 12 May 2020.
  • Faculty Development Program (FDP) on Teachers as Mentors held on 24 August 2018 at Deen Dayal Upadhyaya College.
  • One-week Faculty Development Program (FDP) on "Data Science and Big Data Analytics" conducted by ICT Academy from 06 March 2018 to 10 March 2018 held at Deen Dayal Upadhyaya College, University of Delhi.
  • National workshop on Plagiarism: Issues and challenges organized by Jawaharlal Nehru University, New Delhi on 23 April 2014.


Teaching Experience

  • Department of Computer Science, University of Delhi

    Assistant Professor (Regular)

  • Deen Dayal Upadhyaya College, University of Delhi

    Assistant Professor (Ad-hoc)

  • Deen Dayal Upadhyaya College, University of Delhi

    Assistant Professor (Ad-hoc)

  • Royal Thimphu College, Royal University of Bhutan

    Associate Lecturer (Regular)



Courses taught recently

  • MCAC 104: Database Systems, MCAE 309: Automata Theory

  • MCSC 201: Machine Learning

  • MCAC 104: Database Systems, MCAE 301: Compiler Design

  • MCAC 202: Data Communications and Computer Networks

  • MCAC 401: Compiler Design

  • MCSC 105: Data Mining

  • MCAC 303: Automata Theory

  • MCAC 204: Data Communications and Computer Networks

  • MCAC 401: Compiler Design

  • MCSC 105: Data Mining

  • MCAC 303: Automata Theory

  • MCSE 203: Compiler Design

  • RCS 002: Foundation of Computer Science

  • MCAC 401: Compiler Design

  • MCSC 105: Data Mining

  • Theory of Computation, System Programming, Data Analysis using Python

  • Artificial Intelligence, Database Management Systems

  • Theory of Computation, System Programming, Office Automation Tools

  • Artificial Intelligence, Database Management Systems

  • Theory of Computation, Operating Systems, Office Automation Tools

  • Artificial Intelligence, Database Management Systems

  • Theory of Computation, Operating Systems, Office Automation Tools

  • Artificial Intelligence

  • Theory of Computation, Operating Systems

  • Operating Systems

  • Systems Programming

  • Information Security, Computational Skills

  • Theory of Computation, Programming Fundamentals using C++, Computational Skills

  • Artificial Intelligence

  • Theory of Computation, Information Technology, Computer System Architecture

  • Systems Programming, Discrete Structures

  • Programming Paradigms, Computer Graphics, Computational Skills

  • Discrete Mathematics, System Software

  • System Analysis and Design, Database Design, Algorithm Analysis

  • Programming Principles using C, IT Communication Skills

  • Discrete Mathematics, Introduction to Computers, Internet Technology

  • Calculus-I and Numerical Analysis, IT Communication Skills

Administrative Experience


Faculty Advisor:

  • GoogleCloudReady Facilitator program (2022).
  • DDUC CodeChef Chapter (2016-2020).

    • Member of the following committees:

  • NEP Implementation and Monitoring Committee, University of Delhi
  • Annual Report Editorial Committee, University of Delhi
  • Committee of Courses, Faculty of Mathematical Sciences, University of Delhi
  • Department Research Committee, Department of Computer Science, University of Delhi
  • Admission Committee, Department of Computer Science, University of Delhi
  • Purchase Committee, Department of Computer Science, University of Delhi
  • Data consolidation for SSR for NAAC, Deen Dayal Upadhyaya College, University of Delhi
  • India Today Ranking committee, Deen Dayal Upadhyaya College, University of Delhi
  • Prospectus cum Handbook committee, Deen Dayal Upadhyaya College, University of Delhi
  • Student activity board, Deen Dayal Upadhyaya College, University of Delhi

    • Assisted the Organizing Chair in organizing:

  • Member, Publicity Chair, “ACM Compute 2021”, 14th Annual Conference held during 18-20 November 2021.
  • “Workshop on Alexa Lab” held under Industry Academia Interaction on 25 January 2020 at Deen Dayal Upadhyaya College, University of Delhi as Teacher Coordinator.
  • Workshop on Natural Language Processing held on 13-14 February 2019 at DDUC.
  • Seminar on “Nurturing Young Graduates on Industry Readiness” on 31 August 2018 in collaboration with ICT Academy.
  • 100-hour Add-on Course on “Online Retailing: An Industry Orientation for Undergraduate Students” held from 01 June - 23 June 2018 under the aegis of IQAC-DDUC.
  • UGC Sponsored National Seminar on “A trend towards Machine Learning: Techniques and Applications” at Deen Dayal Upadhyaya College on 26 December 2017 – 1 January 2018.
  • Two-day workshop on “Internet of Things” during 6-7 March 2017 at Deen Dayal Upadhyaya College under Sanganika- the computer Science Society of the College.
  • UGC Sponsored National Seminar on “A Step towards Soft Computing Techniques and Applications” at Deen Dayal Upadhyaya College on 18-19 March 2016 in the capacity of as a Program Committee Member.


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