National Talks and Guest Lectures
-
Faculty Development Program on “Hands-on for Machine Learning, Deep Learning and Natural Language Toolkit”, 04 August-2021 at Chandigarh University, Chandigarh, Punjab, India.
-
Webinar on “Research and Job Prospects in Computer Vision”, 17 July-2021 at Maharishi University of Information Technology, Lucknow, Uttar Pradesh, India.
-
National Webinar on “Perspectives of Image Processing and Analysis”, June-2021 at Galgotia’s college of Engineering and Technology, Greater Noida, Uttar Pradesh.
-
National FDP on “Art of Quality and Effective Research”, October-2020 at GLA University, Mathura, Uttar Pradesh.
-
Expert Talk on “Introduction to Machine Learning-2020”, October-2020 at GLA University, Mathura, Uttar Pradesh.
-
Guest Lecture on “Machine Learning”, November-2019 at Government Engineering College, Bharatpur, Rajasthan.
-
Expert Lecture on “Introduction to C++”, 2007 at SRITS, Datia, Madhya Pradesh.
-
Expert Lecture on “Pointers in C” 2007 at SRITS, Datia, Madhya Pradesh.
International Services
1. Technical Program Committee (TPC) member in International Conference on Artificial Intelligence and Sustainable Engineering-2020, National Institute of Technology, Goa.
2. TPC member in CECNET-2021, Seoul, South Korea.
​
3. Chaired the session on Machine Learning in International Conference on Communication and Artificial Intelligence (Springer) at GLA University, Mathura.
​
4. Chaired an International conference on Advancement in Computation and Computer Technologies, Chandigarh University, Chandigarh, Nov-2021.
Services as Course Developer and Coordinator
1. National FDP on “Art of Quality and Effective Research”, October-2020.
2. Online short term value added course on “Introduction to Machine Learning-2020”, October-2020.
3. NAAC and NIRF core-committee (for Criteria-3).
4. Emersion Program Coordinator.
5. Design of course of Machine Learning and Its Applications under National Education Policy, Government of India.
6. Leaded Research Promotion Cell.
Areas for Consultancy
1. Classical Machine Learning.
2. Development, Design and Guest Lectures related to Neural Networks and Deep Learning
3. Computer Vision and Image Processing
4. Adversarial Learning
5. Academic Cultivation​