Dr. Lavanya Sharma

About

Lavanya Sharma received her Ph.D. (Computer Science) from Uttarakhand Technical University (State Government University), India in 2018, in the area of Digital Image Processing and Computer Vision. She also received TEQIP scholarship for the same. She received her M.Tech (Computer Science) in 2013 from Manav Rachna College of Engineering, affiliated to Maharshi Dayanand University, Haryana, India. She is currently working in New Delhi Institute of Management, Delhi, India as an Assistant Professor in the department of Information technology, Research & Innovation.

A certified professional 20 professional certificates. Her work is on Motion based Object Detection using Background Subtraction Technique for Smart Video Surveillance. She is recipient of several prestigious awards during her academic career and qualified certification courses from ISRO Dehradun unit, India. She has 8 books (Authored and Edited) and over 70 research articles to her credit. She has 5 patents in the area of Computer Vision, Image Processing, Machine Learning and Medical Imaging.

She acted as Organizing Committee Member, Conference Chair, Session Chair, Reviewer, Technical Program Committee (TCP) member of various International conferences and journals. Besides, supervising a large number of undergraduate projects, she has guided more than 40 Post Graduates projects. Her primary research interests are Digital Image Processing and Computer Vision, Artificial Intelligence, Machine learning, deep learning, Internet of Things, Remote Sensing & GIS.

https://www.researchgate.net/profile/Lavanya-Sharma-5

https://scholar.google.com/citations?user=TqVT0B4AAAAJ&hl=en

Employment

• New Delhi Institute of Management Assistant Professor
  2024 - Present
• Amity University System Assistant professor
  2018 - 2024

Education

• Uttarakhand Technical University Ph.D
  2013 - 2018
• Maharshi Dayanand University Rohtak M.tech CSE
  2011 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• A Smart Framework for Early Crop Disease Detection Using GIS Digital Twin Technology
  Data-Intensive Research 2026 DOI: 10.1007/978-3-032-20311-3_11
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• Digital Twin Technology in Geospatial Science: Trends, Applications and Challenges
  Springer Nature Switzerland 2026 DOI: 10.1007/978-3-032-20311-3
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• Strategic Alignment of Cybersecurity Frameworks and Standards in Risk Governance
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-02949-2_35
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• Digital Twins in Geospatial Science for Urban Planning and Development
  Data-Intensive Research 2026 DOI: 10.1007/978-3-032-20311-3_6
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• A Proposed Framework for Object Detection in Digital Twin-Driven Geospatial Systems
  Data-Intensive Research 2026 DOI: 10.1007/978-3-032-20311-3_9
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• Decoding Breast Cancer Prognosis: An AI-Driven Analytical Approach to Genetic Markers and Prediction Metrics
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-03751-0_9
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• A Proposed framework for Artificial Intelligence based Fluorescence-Guided Surgery: Clinical Case Study and Key Challenges
  2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA) 2025 DOI: 10.1109/iccca66364.2025.11325540
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• A Cardiac Medicine and Surgery Using Digital Twinning: A New Era in Patient Care
  Digital Twins and Simulation Technology Concepts and Applications 2025 DOI: 10.1201/9781003582489-7
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• A Digital Twinning for Advanced Precision Medicine and Patient Care: Tools and Technologies
  Digital Twins and Simulation Technology Concepts and Applications 2025 DOI: 10.1201/9781003582489-4
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• An Introduction to Digital Twins and Simulation
  Digital Twins and Simulation Technology Concepts and Applications 2025 DOI: 10.1201/9781003582489-1
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