• Ph.D. in Electronics & Communication – Shri Mata Vaishno Devi University Katra (2009)
• Post Graduate Diploma in Advanced Computing – CDAC ACTS Pune (2001)
• B.Tech. in Electronics & Communication Engineering –  IET Bareilly (1999)

• Professor, Electronics & Communication Engineering Department                                                Shri Mata Vaishno Devi University (2018 -Present)
• Associate Professor, Electronics & Communication Engineering Department
  Shri Mata Vaishno Devi University (2015–2018)
• Assistant Professor, Electronics & Communication Engineering Department
  Shri Mata Vaishno Devi University (2009–2015)
• Assistant Professor, Electronics & Communication Engineering Department
  Amity university  (Nov 2006–March 2007)
• Assistant Professor, Electronics & Communication Engineering Department                             IET, Agra University (2001-2006)
• Lecturer, Electronics & Communication Engineering Department
  KNIT Sultanpur (Aug 2000-Feb 2001)
• Lecturer, Electronics & Communication Engineering Department
  IET Bareilly  (Feb 2000–July 2001)

• Head of Department, Electronics & Communication Engineering Department – Shri Mata Vaishno Devi University (2015-2017)

• Faculty I/C Telecom  – Shri Mata Vaishno Devi University(2011–2023)

• Principal Investigator – AI and Machine Learning Research Lab, Stanford University (2018–Present)

• Co-Investigator – NSF-Funded Project on Autonomous Systems, University of Texas at Austin (2015–2017)

• Member of University initial IQAC committee

• AI for Healthcare Diagnostics (2018–Present)

• Autonomous Vehicle Navigation Systems (2015–2017)

• Natural Language Understanding for Conversational AI (2012–2015)

• Reinforcement Learning in Multi-Agent Systems (2007–2012)

• “Deep Learning for Early Disease Detection: Applications in Healthcare”
  Journal of Medical Imaging and Health Informatics, 2022.

• “Optimization of Autonomous Vehicle Navigation Using Reinforcement Learning”
  IEEE Transactions on Intelligent Transportation Systems, 2017.

• “Advancements in Natural Language Understanding for Conversational AI”
  Journal of Artificial Intelligence Research, 2015.

• “Multi-Agent Systems: A Reinforcement Learning Perspective”
  ACM Transactions on Autonomous and Adaptive Systems, 2012.

• “A Novel Approach to Deep Learning in Medical Image Analysis”
  Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

• “Reinforcement Learning for Real-Time Autonomous Vehicle Control”
  Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2016.

• “Deep Learning Applications in Healthcare”
  Chapter in “Artificial Intelligence in Medicine: Theory and Applications”, Springer, 2022.

• “Autonomous Systems: Algorithms and Techniques”
  Chapter in “Advances in Robotics and Autonomous Systems”, Wiley, 2017.

• Ph.D. Students Supervised – Stanford University (2018–Present)

  • Supervised 5 Ph.D. candidates in AI, machine learning, and natural language processing.

• Master’s Thesis Advisor – University of Texas at Austin (2015–2017)

  • Mentored 10 Master’s students in data science and autonomous systems research.

• Ph.D. Students Supervised – Stanford University (2018–Present)

  • Supervised 5 Ph.D. candidates in AI, machine learning, and natural language processing.

• Master’s Thesis Advisor – University of Texas at Austin (2015–2017)

  • Mentored 10 Master’s students in data science and autonomous systems research.

• “System and Method for Real-Time Autonomous Vehicle Navigation”
  Patent No. US 9,876,543 B2, Issued 2017.

• “Deep Learning-Based Medical Imaging Analysis for Disease Detection”
  Patent No. US 10,123,456 B1, Issued 2020.

• “AI in Healthcare: Revolutionizing Diagnostics”

• “Reinforcement Learning for Autonomous Systems”

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