Prasoon Patidar

prasoonpatidar@cmu.edu

Office 347, TCS Hall (4665 Forbes Ave), CMU

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Prasoon Patidar

I am a Ph.D. Candidate in Societal Computing (S3D) at Carnegie Mellon University, advised by Dr. Yuvraj Agarwal. I also work closely with Dr. Mayank Goel, Dr. Amy Ogan, and Dr. John Zimmerman.

I love to build systems—both hardware and software. My research is driven by a simple question: How can we make physical spaces smarter without making people uncomfortable? I build technology that addresses real human needs while respecting real-world constraints—computational, financial, and ethical.

Currently, I am exploring these ideas through the Edusense classroom sensing project by enabling scalable learning analytics, the Mites project by building privacy-preserving building-scale sensing infrastructure, and the Autonomous project by creating AI-assisted living solutions for people with dementia. Before grad school, I worked on energy efficiency at Bidgely and completed my B.Tech at IIT Delhi.

I am actively looking for job opportunities for Summer 2026.

Research Interests

Privacy-Preserving SensingEdge AI SystemsHuman-Centric Smart EnvironmentsLarge Scale IoT

Timeline

Jul 2017

B.Tech from IIT Delhi

Graduated with Bachelor of Technology in Computer Science from Indian Institute of Technology Delhi

Aug 2017

Joined Bidgely UtilityAI

Started working on energy efficiency using smart meter disaggregation

Aug 2017

Joined Bidgely UtilityAI

Started working on energy efficiency using smart meter disaggregation

Dec 2018

Network Flow Optimization Paper

Published network flow optimization research in International Conference on Parallel, Distributed and Grid Computing (PDGC)

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Jun 2019

Collaboration for Multi-Purchase Behavior Modeling

Collaborated with Theja Tulabandhula (UIUC) and Dr. Deeksha Sinha(MIT) on multi-purchase behavior modeling

Feb 2020

Paper on Multi-Purchase Behavior Modeling

Published multi-purchase behavior modeling research in Social Science Research Network (SSRN)

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Aug 2020

Started PhD at CMU

Began PhD program in Societal Computing (S3D) at Carnegie Mellon University

Oct 2020

Edusense Project

Began work on classroom sensing project with Dr. Yuvraj Agarwal, Dr. Amy Ogan, Dr. John Zimmerman and Dr. Chris Harrison

Oct 2021

Paper on Smart Traffic Lights Optimization

Published traffic optimization research at IEEE 7th World Forum on Internet of Things (WF-IoT)

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Jan 2022

Teaching Assistant for User Focused Sensing Systems

TA for User Focused Sensing Systems course at CMU

May 2022

Research on Privacy Preserving IoT Computation Offloading

Research on privacy-preserving IoT computation offloading

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Jul 2023

Paper on Student's Perception of Smart Classrooms

Published student's perception of smart classrooms research in ACM designing interactive systems conference (DIS)

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Sep 2023

Paper on Context Detection from Daily Activity Patterns

Published context detection from daily activity patterns at UbiComp 2023

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Sep 2023

Paper on Privacy-Sensitive Sensor Bootstrapping (VAX)

Published VAX (Video Audio to X) privacy-sensitive sensor bootstrapping research at UbiComp 2023

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Nov 2023

Bundle MVL Publication

Published multi-purchase behavior modeling research in INFORMS Manufacturing & Service Operations Management (MSOM)

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Dec 2023

Received CMLH Transactional Fellowship

Assisting Dementia Patients with Multi-step Activities using Privacy-sensitive Ambient Sensors

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May 2024

Started Internship at Microsoft Research

Started internship at Microsoft Research on optimizing deployment of LLMs on edge devices

Jun 2024

Paper on Learning Analytics at Scale (Edulyze) for Smart Classrooms

Published learning analytics research in Journal of Learning Analytics (JLA)

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Jun 2024

Paper on Student Behavior Attribution System (ClassID) - IMWUT

Published ClassID-student behavior attribution system at IMWUT 2024

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Aug 2024

Received Cylab Presidential Fellowship

Enabling Activity Recognition in the wild using Privacy-preserving Sensor Bootstrapping

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Oct 2024

Autonomous Team Finalist for Longitudinal Prize on Dementia

Autonomous Team Finalist for Longitudinal Prize on Dementia

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Jul 2025

Arxiv report on ECOLLM - Edge-Cloud Orchestration for Large Language Models

Arxiv report on ECOLLM - Edge-Cloud Orchestration for Large Language Models

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Jul 2025

Presented PhD Thesis Proposal

Presented PhD Thesis Proposal at CMU

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Aug 2025

Paper on Scaling Context-Aware Task Assistants

Published scaling context-aware task assistants research in UIST 2025

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Nov 2025

Demo on Context-Aware Task Assistants at UIST 2025

Demo on Context-Aware Task Assistants at UIST 2025

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Nov 2025

Paper on OrganicHAR (Activity Discovery in the wild)

Paper on OrganicHAR (Activity Discovery in the wild)

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Nov 2025

Presenting BuildingChat at Cylab Partners Conference

Presenting at Cylab Partners Conference

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Research Projects

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

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

Classroom Sensing
Edulyze: Learning Analytics for Real-World Classrooms at Scale

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

Classroom Sensing
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

Prasoon Patidar, Mayank Goel, Yuvraj Agarwal

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

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

Sudershan Boovaraghavan, Prasoon Patidar, Yuvraj Agarwal

Context DetectionActivity Recognition
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

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

IoTPrivacy
Multi-purchase behavior: Modeling, estimation, and optimization

Multi-purchase behavior: Modeling, estimation, and optimization

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

Recommendation Systems
Network flow Optimization through Monte Carlo Simulation

Network flow Optimization through Monte Carlo Simulation

Sayaji Hande, Prasoon Patidar, Sachin Meena, Saurabh Banerjee

Network Optimization
Optimizing Adaptation of Smart Traffic Lights with Resource Constraints

Optimizing Adaptation of Smart Traffic Lights with Resource Constraints

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

Smart Cities

Publications

2026

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors using Efficient Video Analysis

Prasoon Patidar, Riku Arakawa, Ricardo Graça, Rúben Moutinho, Adriano Soares, Ana Vasconcelos, Filippo Talami, Joana Couto da Silva, Inês Silva, Cristina Mendes Santos, Mayank Goel, and Yuvraj Agarwal

Ubicomp/ISWCconference
2025

Designing Adaptive User Interfaces for People with Dementia: Findings from Participatory Research

Filippo Talami, Britt Pellens, Joana Couto Silva, Inês Silva, Ana Vasconcelos, Ricardo Graça, Prasoon Patidar, Adriano Soares, Jilte Heyvaert, Andrea Wilkinson, Niels Hendriks, Mayank Goel, Cristina Mendes-Santos

CHI Italyconference
2025

Scaling Context-Aware Task Assistants that Learn from Demonstration and Adapt through Mixed-Initiative Dialogue

Riku Arakawa, Prasoon Patidar, Will Page, Jill Lehman, Mayank Goel

UISTconference
2025

ECOLLM: Orchestration for domain-specific edge-cloud language models

Prasoon Patidar, Alex Crown, Kevin Hsieh, Yifei Xu, Tusher Chakraborty, Ranveer Chandra, Yuvraj Agarwal

Arxivarxiv
2024

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 Analyticsjournal
2024

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

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

Ubicomp/ISWCconference
2023

Multi-purchase behavior: Modeling, estimation, and optimization

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

MSOM (Manufacturing & Service Operations Management)journal
2023

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

Sudershan Boovaraghavan, Prasoon Patidar, Yuvraj Agarwal

Ubicomp/ISWCconference
2023

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) conferenceconference
2022

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

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

arXivarxiv
2022

Professional Informatics: Personalized, Data-Driven Professional Development

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

CHIconference
2021

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)conference
2022

Dope-ml: Designing Operational Policies for ML Environments

Prasoon Patidar, Sudershan Boovaraghavan, Balamurugan Marimuthu

report
2020

Multi-purchase behavior: Modeling and optimization

Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar

SSRN 3626788journal
2018

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)conference