Mobile health application for early disease outbreak-period detection. - Preetika Rani; Vaskar Raychoudhury; Sandeep Singh Sandha; Dhaval Patel 002 (Healthcom, 2014)

CROWD-PAN-360: Crowdsourcing Based Context-Aware Panoramic Map Generation for Smartphone Users. - Vaskar Raychoudhury; Shikhar Shrivastav; Sandeep Singh Sandha; Jiannong Cao 001 (IEEE Trans. Parallel Distributed Syst., 2015)

A Multi-sensor Process for In-Situ Monitoring of Water Pollution in Rivers or Lakes for High-Resolution Quantitative and Qualitative Water Quality Data. - Sukanya Randhawa; Sandeep Singh Sandha; Biplav Srivastava (CSE/EUC/DCABES, 2016)

An Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and its Application to Understand Impact of Large Religious Gathering. - Biplav Srivastava; Sandeep Singh Sandha; Vaskar Raychoudhury; Sukanya Randhawa; Viral Kapoor; Anmol Agrawal (CoRR, 2016)

Data Hub Architecture for Smart Cities. - Jason Koh; Sandeep Sandha; Bharathan Balaji; Daniel Crawl; Ilkay Altintas; Rajesh K. Gupta 001; Mani B. Srivastava (SenSys, 2017)

Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress. - Sandeep Singh Sandha; Mohammad Kachuee; Sajad Darabi (CoRR, 2017)

The GangaWatch Mobile App to Enable Usage of Water Data in Every Day Decisions Integrating Historical and Real-time Sensing Data. - Sandeep Singh Sandha; Biplav Srivastava; Sukanya Randhawa (CoRR, 2017)

Real-time Log Query Interface for large datasets using Apache Spark. - Sandeep Sandha; Xin Xu; Yue Xin; Zhehan Li (CoRR, 2017)

StreetX: Spatio-Temporal Access Control Model for Data. - Sandeep Singh Sandha (CoRR, 2017)

Deep Convolutional Bidirectional LSTM Based Transportation Mode Recognition. - Jeya Vikranth Jeyakumar; Eun Sun Lee; Zhengxu Xia; Sandeep Singh Sandha; Nathan Tausik; Mani B. Srivastava (UbiComp/ISWC Adjunct, 2018)

Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition. - Tianwei Xing; Sandeep Singh Sandha; Bharathan Balaji; Supriyo Chakraborty; Mani B. Srivastava (EdgeSys@MobiSys, 2018)

Exploiting Smartphone Peripherals for Precise Time Synchronization. - Sandeep Singh Sandha; Joseph Noor; Fatima M. Anwar 001; Mani B. Srivastava (GlobalSIP, 2019)

DDFLOW visualized declarative programming for heterogeneous IoT networks on Heliot testbed platform: demo abstract. - Joseph Noor; Sandeep Singh Sandha; Luis Garcia 001; Mani B. Srivastava (IoTDI, 2019)

RadHAR: Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar. - Akash Deep Singh; Sandeep Singh Sandha; Luis Garcia 001; Mani B. Srivastava (mmNets, 2019)

In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine. - Sandeep Singh Sandha; Wellington Cabrera; Mohammed Al-Kateb; Sanjay Nair; Mani B. Srivastava (Proc. VLDB Endow., 2019)

Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays. - Sandeep Singh Sandha; Luis Garcia 001; Bharathan Balaji; Fatima M. Anwar 001; Mani B. Srivastava (CoRL, 2020)

Mango: A Python Library for Parallel Hyperparameter Tuning. - Sandeep Singh Sandha; Mohit Aggarwal; Igor Fedorov; Mani B. Srivastava (ICASSP, 2020)

Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms. - Sandeep Singh Sandha; Joseph Noor; Fatima M. Anwar 001; Mani B. Srivastava (IoTDI, 2020)

Building an Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and Application to Assess Impact of Large Religious Gatherings. - Biplav Srivastava; Sandeep Singh Sandha; Vaskar Raychoudhury; Sukanya Randhawa; Viral Kapoor; Anmol Agrawal (PerCom Workshops, 2020)

Quick Question: Interrupting Users for Microtasks with Reinforcement Learning. - Bo-Jhang Ho; Bharathan Balaji; Mehmet Köseoglu 001; Sandeep Sandha; Siyou Pei; Mani B. Srivastava (CoRR, 2020)

Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production. - Sandeep Singh Sandha; Mohit Aggarwal; Swapnil Sayan Saha; Mani B. Srivastava (CogMI, 2021)

Excerpt of Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables. - Swapnil Sayan Saha; Sandeep Singh Sandha; Siyou Pei; Vivek Jain; Ziqi Wang 001; Yuchen Li; Ankur Sarker; Mani B. Srivastava (UbiComp/ISWC Adjunct, 2022)

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. - Ragini Gupta; Bo Chen 025; Shengzhong Liu; Tianshi Wang; Sandeep Singh Sandha; Abel Souza; Klara Nahrstedt; Tarek F. Abdelzaher; Mani B. Srivastava; Prashant J. Shenoy; Jeffrey Smith; Maggie B. Wigness; et al. (ApPLIED@PODC, 2022)

Machine Learning for Microcontroller-Class Hardware - A Review. - Swapnil Sayan Saha; Sandeep Singh Sandha; Mani B. Srivastava (CoRR, 2022)

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation. - Swapnil Sayan Saha; Sandeep Singh Sandha; Luis Antonio Garcia; Mani Srivastava 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables. - Swapnil Sayan Saha; Sandeep Singh Sandha; Siyou Pei; Vivek Jain; Ziqi Wang 001; Yuchen Li; Ankur Sarker; Mani Srivastava 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Learning-enabled Cyber-Physical Systems: Challenges and Strategies - Sandeep Singh Sandha (2022)

Neural-Kalman GNSS/INS Navigation for Precision Agriculture. - Yayun Du; Swapnil Sayan Saha; Sandeep Singh Sandha; Arthur Lovekin; Jason Wu; S. Siddharth; Mahesh Chowdhary; Mohammad Khalid Jawed; Mani B. Srivastava (ICRA, 2023)

Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras. - Sandeep Singh Sandha; Bharathan Balaji; Luis Garcia 001; Mani B. Srivastava (IoTDI, 2023)

Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges. - Swapnil Sayan Saha; Yayun Du; Sandeep Singh Sandha; Luis Antonio Garcia; Mohammad Khalid Jawed; Mani B. Srivastava (PLANS, 2023)

TinyNS: Platform-aware Neurosymbolic Auto Tiny Machine Learning. - Swapnil Sayan Saha; Sandeep Singh Sandha; Mohit Aggarwal; Brian Wang; Liying Han; Julian de Gortari Briseno; Mani Srivastava 001 (ACM Trans. Embed. Comput. Syst., 2024)

LiveBench: A Challenging, Contamination-Limited LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agrawal; Sandeep Singh Sandha; et al. (ICLR, 2025)