Dr. Nikita Joshi
Designation: Assistant Professor
Dr. Nikita Joshi is an Assistant Professor in the Computer Science and Engineering (AI/ML) programs at Adani University. With over 8 years of experience in teaching, research, and corporate training, her expertise spans Machine Learning, Data Science, Internet of Things, and Cloud–Fog–Edge Computing. She actively contributes to student development through the Adani Student Programming & Development Club (ASPDC) and the ACM Student Chapter, where she mentors learners in coding, problem-solving, and innovation. She regularly facilitates technical workshops, hands-on sessions, and mentorship programs to support students’ academic and professional growth. Dr. Nikita has been featured twice in ACM Ubiquity’s Innovation Leaders series for her contributions to AI and IoT-driven applications. She also delivers Faculty Development Programs (FDPs) and industry-oriented training sessions in areas such as Teaching Pedagogy, Machine Learning, and Data Visualization, helping educators and professionals strengthen their technical and instructional skills. Her broader academic interests include digital phenotyping for mental health, applied ML, and intelligent edge systems. Prior to joining Adani University, she worked with DA-IICT, e-Infochips, and ICE Gate Academy. She holds a Bachelor’s degree in Information Technology, an M.Tech in ICT, and a PhD in Cloud–IoT systems.
- Ph.D. in DAIICT, 2023
- M.Tech. in DAIICT,2015
- B.E. in GTU, 2009
Academic Experience
- Teaching Assistant, DAIICT (2016-2023)
- Assistant Professor, Silver Oak University (2015-2016)
- Teaching Assistant, DAIICT (2013-2015)
Industry Experience
- Corporate trainer, E-infochips (2021-2023)
- Internet of Things
- Cloud computing
- Machine learning
- Joshi, N., Srivastava, S., ”Task Allocation in Three Tier Fog IoT Architecture for Patient Monitoring System using Stackelberg Game and Matching Algorithm,” 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Goa, India, 2019, pp. 1-6, doi: 10.1109/ANTS47819.2019.9117909.
- Joshi, N., Srivastava, S. (2022). ”Auction-Based Deadline and Priority-Enabled Resource Allocation in Fog–IoT Architecture”. Futuristic Trends in Networks and Computing Technologies. Lecture Notes in Electrical Engineering, vol 936. Springer, doi: 10.1007/978-981-19-5037-7_21
- Joshi, N., Srivastava, S., ”Online Task Allocation and Scheduling in Fog IoT using Virtual Bidding,” 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), Hyderabad, India, 2022, pp. 81-86, doi: 10.1109/R10-HTC54060.2022.9929631.
- Joshi, N., Srivastava, S. (2023). ”QoS-Aware Task Allocation and Scheduling in Three-Tier CloudFog-IoT Architecture Using Double Auction”. In Proceedings of the 13th International Conference on Cloud Computing and Services Science – CLOSER; SciTePress, pages 253-260, doi: 10.5220/0011967400003488.
- Joshi, N., Srivastava, S.,”QoS-aware Task Migration Strategy for Fog IoT”, In 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC).
- Patel, Vidhi, Nikita Joshi, and Bablu Kumar Singh. “Explainable Brain Tumor Classification using CNN and GradCAM.” 2025 International Conference on Artificial Intelligence and Machine Vision (AIMV). IEEE, 2025.
- Manglani Mohit, Malav Joshi, and Nikita Joshi. “Lung Cancer Mortality: A Comparative Analysis of Machine Learning Algorithms for Early Detection and Prognosis.” 2025 International Conference on Artificial Intelligence and Machine Vision (AIMV). IEEE, 2025.
- Resource Person, FDP on “Data Visualization using Power BI” organized by SKIPS University, May 2024.
- Resource Person, FDP on “How to Use ICT Tools for Teaching and Learning” organized by Sikshavid, Adani University.
- Featured in the Innovation Leaders Series of ACM Abiquity Magazine
