About Me

Prasoon Patidar

Hi, I am a 6th year Ph.D. student in Societal Computing (S3D) at Carnegie Mellon University. I love to build (hardware and software) systems. I am interested in how we can enhance utility of smart environments and promote human-AI collaboration towards user health and wellness, while alleviating privacy concerns. I am fortunate to be advised by Dr. Yuvraj Agarwal, and to get an opportunity to work closely with Dr. Mayank Goel, Dr. Amy Ogan and Dr. John Zimmerman.

I am actively engaged with Edusense classroom sensing project, and Autonomous project for supporting people with Dementia. Before grad school, I worked with Bidgely UtilityAI on promoting energy efficiency using smart meter disaggregation, and completed my undergraduate (B.Tech) in Computer Science from IIT Delhi .

I am actively looking for job opportunities for next summer (2026). Please reach out to me at prasoonpatidar [at] cmu [dot] edu. Here is my CV for more details.

Download CV

Recent News

11 months ago
Presented ClassID paper at Ubicomp/ISWC, 2024
1 years ago
Had an awesome time at MSR, Redmond for last three months.. Will miss my time here. Excited to continue this collaboration…
1 years ago
Edulyze paper published in the Journal for Learning Analytics' Volume 11, Issue 2. Congratulations to Edusense team!!
1 years ago
**Won CyLab Presidential Fellowship for the 2024-25 academic year. Very honored!
1 years ago
Started summer internship at Microsoft Research, Redmond. Looking forward to my time on west coast. :)

Research Timeline

July 2017
B.Tech from IIT Delhi
August 2017
Joined Bidgely UtilityAI
August 2017
Joined Bidgely UtilityAI
December 2018
Network Flow Optimization Paper
June 2019
Collaboration for Multi-Purchase Behavior Modeling
February 2020
Paper on Multi-Purchase Behavior Modeling
August 2020
Started PhD at CMU
October 2020
Edusense Project
October 2021
Paper on Smart Traffic Lights Optimization
January 2022
Teaching Assistant for User Focused Sensing Systems
May 2022
Research on Privacy Preserving IoT Computation Offloading
July 2023
Paper on Student's Perception of Smart Classrooms
September 2023
Paper on Context Detection from Daily Activity Patterns
September 2023
Paper on Privacy-Sensitive Sensor Bootstrapping (VAX)
November 2023
Bundle MVL Publication
December 2023
Received CMLH Transactional Fellowship
May 2024
Started Internship at Microsoft Research
June 2024
Paper on Learning Analytics at Scale (Edulyze) for Smart Classrooms
June 2024
Paper on Student Behavior Attribution System (ClassID) - IMWUT
August 2024
Received Cylab Presidential Fellowship
October 2024
Autonomous Team Finalist for Longitudinal Prize on Dementia
July 2025
Arxiv report on ECOLLM - Edge-Cloud Orchestration for Large Language Models

Research Highlights

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems
ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

A data attribution method for within a class session and across multiple sessions of a course without individual instrumentation.

Prasoon Patidar, Tricia J Ngoon, John Zimmerman, Amy Ogan, Yuvraj Agarwal

Classroom Sensing
0:00/7:15
Edulyze: Learning Analytics for Real-World Classrooms at Scale
Edulyze: Learning Analytics for Real-World Classrooms at Scale

Edulyze is an analytics engine that processes complex, multi-modal sensing data and translates them into a unified schema that is agnostic to the underlying sensing system or classroom configuration.

Prasoon Patidar, Tricia Ngoon, Neeharika Vogety, Nikhil Behari, Chris Harrison, John Zimmerman, Amy Ogan, Yuvraj Agarwal

Classroom Sensing
0:00/4:59
VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors
VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors

We created a novel system, VAX (Video Audio to 'X'), where training labels acquired from existing A/V models are used to train ML models for a range of privacy-sensitive sensors.

Prasoon Patidar, Mayank Goel, Yuvraj Agarwal

Activity RecognitionPrivacy
0:00/6:05
TAO: Context Detection from Daily Activity Patterns Using Temporal Analysis and Ontology
TAO: Context Detection from Daily Activity Patterns Using Temporal Analysis and Ontology

TAO is a hybrid system that leverages OWL-based ontologies and temporal clustering approaches to detect high-level contexts from human activities.

Sudershan Boovaraghavan, Prasoon Patidar, Yuvraj Agarwal

Context DetectionActivity Recognition
0:00/5:06
Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control
Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control

We propose a system that allows users to offload computation from their IoT devices to the cloud while maintaining privacy and control over their data.

Dohyun Kim, Prasoon Patidar, Han Zhang, Abhijith Anilkumar, Yuvraj Agarwal

IoTPrivacy
0:00/6:45
Multi-purchase behavior: Modeling, estimation, and optimization
Multi-purchase behavior: Modeling, estimation, and optimization

We study the problem of modeling purchase of multiple products and using it to display optimized recommendations for online retailers and e-commerce platforms.

Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra, Prasoon Patidar

Recommendation Systems
0:00/6:06
Network flow Optimization through Monte Carlo Simulation
Network flow Optimization through Monte Carlo Simulation

We study the problem of network flow optimization using Monte Carlo simulation and propose a novel algorithm to solve it.

Sayaji Hande, Prasoon Patidar, Sachin Meena, Saurabh Banerjee

Network Optimization
0:00/5:24
Optimizing Adaptation of Smart Traffic Lights with Resource Constraints
Optimizing Adaptation of Smart Traffic Lights with Resource Constraints

We explore the idea of efficiently deploying smart intersections within given budget constraints in a city using a generic simulation-based framework.

Prasoon Patidar, Geoffrey B Dobson, Kathleen M Carley, Yuvraj Agarwal

Smart Cities
0:00/4:36

Publications

Edulyze: Learning Analytics for Real-World Classrooms at Scale

Prasoon Patidar, Tricia Ngoon, Neeharika Vogety, Nikhil Behari, Chris Harrison, John Zimmerman, Amy Ogan, Yuvraj Agarwal

Journal of Learning Analytics (2024) journal

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

Prasoon Patidar, Tricia J Ngoon, John Zimmerman, Amy Ogan, Yuvraj Agarwal

Ubicomp/ISWC (2024) conference

Multi-purchase behavior: Modeling, estimation, and optimization

Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra, Prasoon Patidar

MSOM (Manufacturing & Service Operations Management) (2023) journal

VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors

Prasoon Patidar, Mayank Goel, Yuvraj Agarwal

Ubicomp/ISWC (2023) conference

TAO: Context Detection from Daily Activity Patterns Using Temporal Analysis and Ontology

Sudershan Boovaraghavan, Prasoon Patidar, Yuvraj Agarwal

Ubicomp/ISWC (2023) conference

An Instructor is [already] able to keep track of 30 students: Students’ Perceptions of Smart Classrooms for Improving Teaching & Their Emergent Understandings of Teaching …

Tricia J Ngoon, David Kovalev, Prasoon Patidar, Chris Harrison, Yuvraj Agarwal, John Zimmerman, Amy Ogan

ACM designing interactive systems (DIS) conference (2023) conference

Self-serviced iot: Practical and private iot computation offloading with full user control

Dohyun Kim, Prasoon Patidar, Han Zhang, Abhijith Anilkumar, Yuvraj Agarwal

arXiv (2022) arxiv

Professional Informatics: Personalized, Data-Driven Professional Development

Tricia J Ngoon, Prasoon Patidar, Amy Ogan, Chris Harrison, Yuvraj Agarwal

CHI (2022) conference

Optimizing Adaptation of Smart Traffic Lights with Resource Constraints

Prasoon Patidar, Geoffrey B Dobson, Kathleen M Carley, Yuvraj Agarwal

IEEE 7th World Forum on Internet of Things (WF-IoT) (2021) conference

Dope-ml: Designing Operational Policies for ML Environments

Prasoon Patidar, Sudershan Boovaraghavan, Balamurugan Marimuthu

(2022) report

Multi-purchase behavior: Modeling and optimization

Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar

SSRN 3626788 (2020) journal

Network flow Optimization through Monte Carlo Simulation

Sayaji Hande, Prasoon Patidar, Sachin Meena, Saurabh Banerjee

Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) (2018) conference

Contact

Office: Office 347, TCS Hall (4665 Forbes Ave), CMU
Address: Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA (USA)