CV

Education

• B.Tech in Computer Science and Engineering, Shiv Nadar University, 2019
• Ph.D in Computer Science- Personal Health Informatics, Northeastern University, 2025 (expected)

Work experience

• Graduate Research Assistant, Northeastern University, Sep 2019 - Present
  • Lab: mHealth lab led by Stephen Intille
  • Location: Boston
• Technology Strats Intern, Goldman Sachs, Jan 2019 - May 2019
  • Responsibilities included: Migrating legacy code for the payment flow system to web-based microservices, designing a new interface for the payment flow system
  • Location: Bangalore

Skills

• Research: User Interviews, surveys, qualitative analysis, quantitative analysis, prototyping, usability testing
• Programming: Java, Python, R, SQL
• Frameworks: Android, Flutter, sklearn
• Data Analysis: Regression analysis, supervised machine learning, data visualization

Publications

Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging

Rithika Lakshminarayanan, Alexandra Canori, Aditya Ponnada, Melissa Nunn, Mary Schmidt Read, Shivayogi V Hiremath, Stephen Intille. (2022). "Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging." Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2).

Potential of social engagement for overcoming barriers to physical activity in individuals with spinal cord injury

Alexandra Canori, Rithika Lakshminarayanan, Melissa Nunn, Mary Schmidt-Read, Stephen S Intille, Shivayogi V Hiremath. (2023). "Engaging Social Connections to Promote Physical Activity in Individuals with Spinal Cord Injury." Journal of Rehabilitation and Assistive Technologies Engineering. 10(1).

Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment

Ha Le, Rithika Lakshminarayanan, Jixin Li, Varun Mishra, Stephen Intille. (2024). "Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8(3).

Detecting Sleep Disruptions in Adolescents Using Context-Sensitive Ecological Momentary Assessment: A Feasibility Study

Rithika Lakshminarayanan, Arushi Uppal, Ha Le, James C. Spilsbury, Stephen Intille. (2024). "Detecting Sleep Disruptions in Adolescents Using Context-Sensitive Ecological Momentary Assessment: A Feasibility Study; Pervasive Computing Technologies for Healthcare. PervasiveHealth 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering . Vol 611.

Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch

Ha Le, Veronika Potter, Rithika Lakshminarayanan, Varun Mishra, Stephen Intille. (2025). "Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch." Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. CHI 25.

Service and leadership

• Peer-reviewer (Computer Science): ACM Interactive Mobile, Wearable, and Ubiquitous Technologies (IMWUT or UbiComp 2020 – 2022), Proceedings of the ACM in Human-Computer Interaction (CSCW 2021 - 2023), ACM Conference on Human Factors in Computing Systems (CHI 2021 – 2022)
• Secretary, ACM-W chapter at Shiv Nadar University, 2018-2019