Dr. Aarti Dadheech
Designation: Assistant Professor
Dr. Aarti Dadheech is an Assistant Professor at Adani University, Ahmedabad, with academic and research expertise in Artificial Intelligence & Machine Learning, Cloud and Edge Computing, and Quantum Technologies, including Post-Quantum Cryptography. She holds a Ph.D. in Computer Science and Engineering, with doctoral research focused on deep learning–based bio-inspired target tracking for small UAVs. She brings extensive experience in university-level teaching, research, and academic mentoring, with scholarly interests spanning cloud-based AI systems, autonomous UAV navigation, smart traffic management, and secure next-generation computing architectures.
Dr. Dadheech has published in internationally reputed venues such as Springer, Elsevier, and IEEE and actively engages in advanced faculty development and emerging technology training. She is a GATE-qualified scholar and a recipient of the IBM Digital Badge in Quantum Machine Learning and Variational Algorithm Design. Her academic interests emphasize globally relevant AI systems, secure cloud and edge infrastructures, and emerging quantum and post-quantum technologies, with a focus on interdisciplinary research, doctoral mentorship, and academic–industry collaboration.
- Ph.D. in Computer Science and Engineering, Nirma University, 2025.
- M.E. in Computer Science and Engineering 2018.
- B.Tech. in Computer Science and Engineering 2015.
- Teaching Assistant | 2021-2024 Institute of Technology, Nirma University, Ahmedabad.
- Assistant Professor | 2017-2020 Computer Science and Engineering Department of JIET College of Engineering, Jodhpur.
- Cloud Computing
- Quantum Computing
- Post-Quantum Cryptography
- Reinforcement Learning for UAVs
- Cloud-Based Video Analytics
- Deep Learning for IoT and Smart Cities
- Dadheech, A., Bhavsar, M. et al. Deep learning based smart traffic management using video analytics and IoT sensor fusion. Soft Computing (2024). https://doi.org/10.1007/s00500-024-10382-1.
- R. Jodha and A. Dadheech, “Analysis and evaluation of unstructured data based on stemming algorithms,” American International Journal of Research in Formal, Applied & Natural Sciences (AIJRFANS), vol. 19, pp. 19–201, 2019.
- A. Dadheech, “Study of lattice-based fully homomorphic encryption for cloud data security,” International Journal of Advanced Research in Computer Science, vol. 8, no. 7, 2017.
- A. Dadheech, et al., “Key based cryptanalysis of DES, AES and RSA and analysis of RSA using randomization,” International Journal of Advance Engineering and Research Development (IJAERD), vol. 4, no. 10, pp. 831–834, 2017.
- Aarti Dadheech and Madhuri Bhavsar. 2025. AirNav: A Computation-driven Cloud-based Solution for the Drone Path Planning Utilizing Machine Learning. Procedia Computer Science. 258, C (2025), 1688–1697. https://doi.org/10.1016/j.procs.2025.04.421
- Dadheech, Aarti. “Preventing information leakage from encoded data in Lattice based Cryptography.” 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018.
- A. Dadheech, V. Rajput, and M. Bhavsar, “Using MediaPipe holistic skeleton tracking and XGBoost for real-time elderly fall detection and classification,” in AI and Sustainable Transformations, pp. 54–61, 2025.
- Dadheech, Aarti. “Post-Quantum Lattice-Based Cryptography: A Quantum-Resistant Cryptosystem.” Limitations and Future Applications of Quantum Cryptography, edited by Neeraj Kumar, et al., IGI Global Scientific Publishing, 2021, pp. 102-123. https://doi.org/10.4018/978-1-7998-6677-0.ch006
- Recipient of IBM Digital Badge in Quantum Machine Learning and Variational Algorithm Design, issued by IBM.(2025)
- Participated as a Mentor in Smart India Hackathon 2019 under Software Edition.
- Received Academic Excellence Award for significant contribution to education in year 2018.
