Shri Mata Vaishno Devi University
Official Website     Last Updated: 22nd Jan, 2025
10th Convocation
Shri Mata Vaishno Devi University
Official Website     Last Updated: 22nd Jan, 2025
10th Convocation

Dr. Pooja Sharma

Associate Professor
pooja.sharma[at]smvdu.ac.in ; pooja2_2000[at]yahoo.com
01991-285524 Extn.: 2312
School of Computer Science and Engineering
Educational Qualification
  • Ph.D. in Computer Science – SMVDU 
  • Wireless Networks , AI,ML
  • MBA IT  
    Specialization: Software Engineering
  • B.E. in Computer Engineering – Govt College of Engineering and Technology Jammu
Teaching Experience
  • Associate Professor, School of Computer Science & Engineering 
    SMVDU Jan 2021 – Present

  • Assistant Professor, Stage III School of Computer Science & Engineering 
    SMVDU( 2018-2021 )

  • Assistant Professor, Stage II School of Computer Science & Engineering 
    SMVDU( 2013-2018 )
  • Assistant Professor, Stage I School of Computer Science & Engineering 
    SMVDU( 2007-2013 )
  • Lecturer, Rai University Delhi (2004-2007)
  • Lecturer, ABES Engineering College Ghaziabad (2003-2004)
  • Software Trainee, Wipro Ltd. 
Administrative Experience
  • Joint Warden Vaishnavi Girls hostel –SMVDU (2024-present)

  • Joint warden Shivalik Girls hostel (2020–2021)

  • Joint warden Shivalik Girls hostel (2010-2013)
Courses (Even sem 2024-25)
Research Projects
Co -PI for MHRD funded Smart farming using Precision Agriculture and IoT Approx cost 13 Lakhs
Journal Publications
  • “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.

Conference Publications
  • “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.

Book/Chapters Written
  • “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.

Research Supervision
  • 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.
Conferences/Courses Organized
  • “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.
Expert Talks
  • “AI in Healthcare: Revolutionizing Diagnostics”

  • “Reinforcement Learning for Autonomous Systems”

International and National Exposure

No Data Available

Honors & Recognitions Achieved

No Data Available

Profile Last updated: January 21, 2025
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