Ms. Aarti Dadheech

Designation: Assistant Professor

Academic Area: Artificial Intelligence & Machine Learning, Cloud Computing & Edge Computing, Quantum Technologies & Post-Quantum Cryptography, Computer Vision

Brief Profile:

Dr. Aarti Dadheech is an Assistant Professor at Adani University, Ahmedabad, specializing in Artificial Intelligence, Machine Learning, Cloud & Edge Computing, Quantum Technologies, and Computer Vision. She holds a Ph.D. in Computer Science and Engineering, with over seven years of experience in teaching and research. Her expertise spans Cloud-Based AI Solutions, Post-Quantum Cryptography, UAV Path Planning, and HPC. She has published in Springer, Elsevier, and IEEE, with notable works on AI-driven smart traffic management, cloud-based UAV navigation, and cryptographic security. A GATE-qualified scholar (2020), she actively contributes to faculty development and has mentored teams in Smart India Hackathon. She has also completed an FDP on Quantum Technologies & Applications and participated in AICTE-recognized research training. Google Scholar | ORCID.


  • Ph.D. in Computer Science and Engineering
  • M.E (H) – Master in Engineering
  • B.Tech. (H) – Bachelor in Technology

  • Teaching Assistant (September 2020 – October 2024) in the Department of Computer Science and Engineering, Nirma University, Ahmedabad
  • Assistant Professor (2017 – 2020)
  • Total Experience: 3 years of teaching and 4 years of research & teaching assistance

  • GATE Qualified (2020) – Computer Science & IT
  • Mentor for Smart India Hackathon 2019 – Software Edition

Cloud Computing, Quantum Computing, Post-Quantum Cryptography, Reinforcement Learning for UAVs, Cloud-Based Video Analytics, Deep Learning for IoT and Smart Cities, and Computation Offloading & Edge AI.

Dr. Dadheech has authored 4 journal papers, 3 conference papers, and 1 book chapter, with notable contributions in AI-driven smart systems, cryptography, and cloud-based UAV solutions.
Journal Papers:

  • “Deep Learning-Based Smart Traffic Management Using Video Analytics and IoT Sensor Fusion” – Soft Computing (Springer), 2024.
  • “AirNav: A Computation-Driven Cloud-Based Solution for Drone Path Planning Utilizing Machine Learning” – Procedia Computer Science (Elsevier), 2024.
  • “Analysis and Evaluation of Unstructured Data Based on Stemming Algorithms” – Am Int J Res Formal Appl Nat Sci (AIJRFANS), 2019.
  • “Study of Lattice-Based FHE for Cloud Data Security” – International Journal of Advanced Research in Computer Science, 2017.

Conference Papers:

  • “Real-Time Elderly Fall Detection and Classification Using Mediapipe Holistic Skeleton Tracking and XGBoost” – AI-HCSST 2025, Taylor & Francis (March 2025).
  • “A State-of-the-Art Analysis of a Cloud-based Video Big Data Analytics using Deep Learning,” at the 4th International Conference on Machine Learning, Image Processing, Network Security, and Data Sciences (MIND-2022).
  • “Preventing Information Leakage from Encoded Data in Lattice-Based Cryptography” – 2018 International Conference on Advances in Computing, Communications, and Informatics (IEEE).

Book Chapter:

  • “Post-Quantum Lattice-Based Cryptography: A Quantum-Resistant Cryptosystem” – Limitations and Future Applications of Quantum Cryptography, IGI Global (2024).

  • Cloud-Based AI Solutions
  • Cloud Security & Quantum Cryptography
  • AI in Smart Traffic Management
  • UAV Path Planning & AI Optimization
  • High-Performance Computing (HPC)

Faculty Development Programs & Training:

  • Completed a 40-hour FDP on “Quantum Technologies & Applications” (Feb 28 – Mar 22, 2025), organized by MNIT Jaipur, NIT Patna, IIT Roorkee, IIT Guwahati, IIITDM Jabalpur, and NIT Warangal.
  • Participated in AICTE-recognized Short Term Course on “Tools for Scientific Research in Engineering and Science” (Nov 12–16, 2018).
  • Attended a 5-day training program on “Machine Learning with Python” conducted by AARMON TECH Pvt. Ltd. (July 2–6, 2018).

Academic & Scientific Profiles: