Ayush Verma

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Reach out to me: ayush.k1998@gmail.com
ayushv34_scs@jnu.ac.in

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About Me

Hello! This is Ayush Verma. I am currently working as Scientist-‘B’/Assistant Director at Software Technology Parks of India, Ministry of Electronics and Information Technology (MeitY), Government of India and a Ph.D. Scholar at School of Computer and Systems Sciences, Jawaharlal Nehru University, and I am very fortunate to be advised by Prof. Manju Khari. My research interests include Cyber Security, Machine Learning and Deep Learning.

Experience

  1. Scientist-B/Assistant Director at Software Technology Parks of India (STPI), Ministry of Electronics and Information Technology (MeitY), Government of India (May’24 - Present)
  2. Junior Research Fellow (JRF) at Defence Scientific Information & Documentation Centre (DESIDOC), Defence Research & Development Organisation (DRDO) (June’22 - Sept’22)

Education

  1. Ph.D (2023-Present) in Computer Science from Jawaharlal Nehru University, New Delhi, India.
  2. M.Tech (2020-2022) in Computer Science & Technology from Jawaharlal Nehru University, New Delhi, India. GRADE-8.66/10
  3. B.Tech (2016-2020) in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, New Delhi, India. GRADE-7.13/10

Publications

Journal/Magazine

  1. Verma, A., & Khari, M. (2024). Vision-Based accident anticipation and detection using deep learning. IEEE Instrumentation & Measurement Magazine, 27(3), 22–29. https://doi.org/10.1109/mim.2024.10505198

Conference

  1. Verma, A., Pandey, P., Khari, M. (2024). ELA-Conv: Forgery Detection in Digital Images Based on ELA and CNN. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2026. Springer, Cham. https://doi.org/10.1007/978-3-031-53082-1_18
  2. Alam, I., Verma, A., Khari, M. (2024). Deep Learning Envisioned Accident Detection System. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2026. Springer, Cham. https://doi.org/10.1007/978-3-031-53082-1_3
  3. Kumar, G., Gulati, A., Verma, A., Khari, M., Tyagi, G. (2024). Iris Recognition System in the Context of Authentication. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2026. Springer, Cham. https://doi.org/10.1007/978-3-031-53082-1_28

Book Chapter

  1. Khurshid, S., Ansari, A. N., Verma, A., Singh, P. P., & Khari, M. (2024). FaceTrace. In Sustainable Science and Intelligent Technologies for Societal Development (pp. 178–193). https://doi.org/10.4018/979-8-3693-1186-8.ch011
  2. Agarwal, A., Verma, A., & Khari, M. (2024). Comparative assessment of machine learning methods for early prediction of diseases using health indicators. In Advances in medical technologies and clinical practice book series (pp. 160–186). https://doi.org/10.4018/979-8-3693-2238-3.ch007
  3. Tiwari, Y., Verma, A., & Khari, M. (2024). Data-Driven Precision Agriculture for crop prediction and fertilizer recommendation using machine learning. In Practice, progress, and proficiency in sustainability (pp. 167–183). https://doi.org/10.4018/979-8-3693-4864-2.ch009
  4. Sharma, P., Verma, A., & Khari, M. (2025). Advancing humanitarian efforts in Alzheimer’s diagnosis using AI and MRI technology. In CRC Press eBooks (pp. 139–154). https://doi.org/10.1201/9781003479109-11
  5. Chaudhary, P., Verma, A., & Khari, M. (2024). Harnessing language models and machine learning for rancorous URL classification. In CRC Press eBooks (pp. 273–288). https://doi.org/10.1201/9781032711300-19

Talks, Honors and Achievements

  1. Presented a session at FDTP - Ramco Institute of Technology, Tamil Nadu, India on the topic of “DHTML with JavaScript” (Jan’22) at the Anna University approved Faculty Development Training Programme organized by the Department of Computer Science & Engineering, Ramco Institute of Technology, Tamil Nadu, India.
  2. UGC NET-JRF (June 2021)
  3. Best Paper Certificate - International Conference on Data Mining and Information Security 2024. Conference proceedings published in Springer (LNNS Series).

Teaching

  1. Teaching Assistant (TA) at School of Computer and Systems Sciences, Jawaharlal Nehru University for M.Tech & MCA.

Professional Services

Volunteering

Supervision and Mentorship

M.Tech

  1. Intekhab Alam - SC&SS JNU, Title - Deep Learning Envisioned Accident Detection (Dec’22 - Jun’23)
  2. Gaurav Kumar - SC&SS JNU, Title - Iris Recognition System in the Context of Authentication (Dec’22 - Jun’23)
  3. Abhishek Kumar - SC&SS JNU, Title - CNN-LSTM synergised framework for enhanced DDoS attack detection on SDN (Dec’23 - Jun’24)

MCA

  1. Salman Khurshid - SC&SS JNU (Dec’22 - Jun’23)
  2. Aamir Ansari - SC&SS JNU (Dec’22 - Jun’23)

B.Tech

  1. Pooja Sharma - Banasthali Vidyapith, Title - Alzheimer’s Disease Classification from MRI Images with Convolutional Neural Networks (Jul’23 - Dec’23)
  2. Prabhuta Chaudhary - Banasthali Vidyapith, Title - Harnessing Language Models and Machine Learning for Rancorous URL Classification (Jul’23 - Dec’23)
  3. Amisha Agarwal - Banasthali Vidyapith, Title - Comparative Analysis of disease classification based on Machine Learning (Jul’23 - Dec’23)
  4. Yashi Tiwari - Banasthali Vidyapith, Title - ML based recommendation system for crop yield and fertilizer (Jul’23 - Dec’23)