Sarita Singh
(she/her)
Associate Teaching Professor
Research interests
- Artificial intelligence
- Computer science education
- Cybersecurity
- Education technology
- Internet of things
Education
- Doctor of Education, Northeastern University
- PhD in Computer Science, SNDT University (in collaboration with CDAC) — India
- MTech in Software Engineering, National University of Singapore
- MEng in Electrical Engineering, MS University — India
- BEng in Electronics Engineering, Mumbai University, India
Biography
Sarita Singh is an associate teaching professor in the Khoury College of Computer Sciences at Northeastern University, based in Seattle.
Singh's research focuses on the design and development of intelligent, secure, and user-centered technologies that address challenges in health care, education, and connected systems. A key area of her work is the design of IoT-based solutions for monitoring and supporting Parkinson’s patients, including systems for tremor assessment, mobility tracking, and rehabilitation. She also investigates the integration of AI and machine learning into IoT environments, with an emphasis on responsible AI and cybersecurity.
In addition to her technical research, Singh is passionate about computing and educational technology. She investigates innovative teaching approaches, the use of AI-powered learning tools, and strategies for enhancing student engagement and learning outcomes in computer science and software engineering education.
Through her interdisciplinary research and teaching, Singh seeks to advance technologies that are not only innovative and intelligent, but also secure, accessible, and beneficial to society.
Before joining Northeastern, Singh accumulated more than 25 years of teaching, industry, and research experience with organizations and universities in Singapore, Malaysia, and India. She has also taught undergraduate and graduate courses for UK and Australian degree programs.
Recent publications
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Sensing-to-Decision: A Low-Cost, Privacy-Centric Edge Framework for Objective Parkinsonian Tremor and Bradykinesia Quantification
Citation: A. Nguyen, V. R. Dabhi, H. Fu, M. B. Cherukuri and S. Singh, "Sensing-to-Decision: A Low-Cost, Privacy-Centric Edge Framework for Objective Parkinsonian Tremor and Bradykinesia Quantification," 2026 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2026, pp. 1-8, doi: 10.1109/AIIoT68874.2026.11569551. -
A Multimodal IoT System for Monitoring Seated Leg Exercises in Home-Based Rehabilitation
Citation: H. Fu, A. Nguyen, M. B. Cherukuri and S. Singh, "A Multimodal IoT System for Monitoring Seated Leg Exercises in Home-Based Rehabilitation," 2026 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2026, pp. 0710-0717, doi: 10.1109/AIIoT68874.2026.11569614. -
A Contract-First Application Layer Architecture for Multi-Device, Multi-Role Healthcare IoT Systems
Citation: M. B. Cherukuri, T. Papadasu, S. S. D. T. Bulusu, T. Hristova, Z. Zhang and S. Singh, "A Contract-First Application Layer Architecture for Multi-Device, Multi-Role Healthcare IoT Systems," 2026 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2026, pp. 0853-0858, doi: 10.1109/AIIoT68874.2026.11569635. -
IoT-Based Smart Watering System with Multi-Modal Ai for Improved Plant Growth
Citation: W. Li, Y. Zheng, M. Nascimento and S. Singh, "Iot-Based Smart Watering System With Multi-Modal Ai for Improved Plant Growth," 2025 IEEE 16th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), Yorktown Heights, NY, USA, 2025, pp. 0791-0798, doi: 10.1109/UEMCON67449.2025.11267563. -
Mood-Based Food Recommender System for Sustainable Smart Supermarket
Citation: Y. Yang et al., "Mood-Based Food Recommender System for Sustainable Smart Supermarket," 2025 IEEE 16th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), Yorktown Heights, NY, USA, 2025, pp. 0096-0105, doi: 10.1109/UEMCON67449.2025.11267672. -
A Predictive Parking Mobile Application Integrating Historical Usage and Precipitation Data
Citation: Huijia Wang, Ke Wang, Tianhao Zhang, Yuming Sun, Sarita Singh, Mario A. Nascimento. (2025). A Predictive Parking Mobile Application Integrating Historical Usage and Precipitation Data ICDEW, 71-78. https://doi.org/10.1109/ICDEW67478.2025.00015 -
Identifying Learning Challenges faced by Novice/Beginner Computer Programming Students: An Action Research Approach
Citation: Singh, Sarita. “Identifying Learning Challenges faced by Novice/Beginner Computer Programming Students: An Action Research Approach.” QuASoQ/SEED@APSEC (2022).
