activity
20092026
most citedLOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

21 citations · 72 across the 18 of their papers we have counts for

collaborators

20 papers

eess.SY2026

A Decoupled Approach for Modeling N-k Interdiction with Induced Failures in Electric Power Grids

Andrew Chio, Kaarthik Sundar, Russell Bent +1

The electric power grid is a critical infrastructure system subject to different types of failures which can have devastating impacts on society. One framework to study the resilie…

cs.DC2026

FloodReasonBench: Benchmarking VLM Reasoning Segmentation for Embodied Flood Response at the Edge

Rajat Bhattacharjya, Yoomee Jung, Minwoo Kim +4

Reasoning segmentation enables vision-language models (VLMs) to translate mission-relevant language requests into pixel-level visual grounding, offering a natural perception interf…

cs.CV2026

VOILA: Value-of-Information Guided Fidelity Selection for Cost-Aware Multimodal Question Answering

Rahul Atul Bhope, K. R. Jayaram, Vinod Muthusamy +3

Despite significant costs from retrieving and processing high-fidelity visual inputs, most multimodal vision-language systems operate at fixed fidelity levels. We introduce VOILA,…

cs.DB2025★ 2 cited

Meaningful Data Erasure in the Presence of Dependencies

Vishal Chakraborty, Youri Kaminsky, Sharad Mehrotra +5

Data regulations like GDPR require systems to support data erasure but leave the definition of "erasure" open to interpretation. This ambiguity makes compliance challenging, especi…

cs.LG2025

DIM-SUM: Dynamic IMputation for Smart Utility Management

Ryan Hildebrant, Rahul Bhope, Sharad Mehrotra +2

Time series imputation models have traditionally been developed using complete datasets with artificial masking patterns to simulate missing values. However, in real-world infrastr…

cs.LG2025

Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning

Rahul Atul Bhope, K. R. Jayaram, Praveen Venkateswaran +1

Federated Learning (FL) enables collaborative model training across decentralized clients without sharing raw data, yet faces significant challenges in real-world settings where cl…

cs.LG2023

FLIPS: Federated Learning using Intelligent Participant Selection

Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian +2

This paper presents the design and implementation of FLIPS, a middleware system to manage data and participant heterogeneity in federated learning (FL) training workloads. In parti…

cs.LG2022★ 2 cited

FedGen: Generalizable Federated Learning for Sequential Data

Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy +1

Existing federated learning models that follow the standard risk minimization paradigm of machine learning often fail to generalize in the presence of spurious correlations in the…

cs.CR2021★ 2 cited

IoT Notary: Attestable Sensor Data Capture in IoT Environments

Nisha Panwar, Shantanu Sharma, Guoxi Wang +4

Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems. There are several reasons why such a trust is misp…

cs.CR2021

Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets

Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma +2

This paper proposes a system, entitled Concealer that allows sharing time-varying spatial data (e.g., as produced by sensors) in encrypted form to an untrusted third-party service…

cs.DB2020★ 14 cited

Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets

Peeyush Gupta, Sharad Mehrotra, Nisha Panwar +3

Contact tracing has emerged as one of the main mitigation strategies to prevent the spread of pandemics such as COVID-19. Recently, several efforts have been initiated to track ind…

cs.CR2020★ 2 cited

Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes

Nisha Panwar, Shantanu Sharma, Guoxi Wang +2

This paper focuses on the new privacy challenges that arise in smart homes. Specifically, the paper focuses on inferring the user's activities -- which may, in turn, lead to the us…

cs.DB2020★ 21 cited

LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

Yiming Lin, Daokun Jiang, Roberto Yus +4

This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi con…

cs.CR2020★ 4 cited

IoT Expunge: Implementing Verifiable Retention of IoT Data

Nisha Panwar, Shantanu Sharma, Peeyush Gupta +3

The growing deployment of Internet of Things (IoT) systems aims to ease the daily life of end-users by providing several value-added services. However, IoT systems may capture and…

cs.CR2019

IoT Notary: Sensor Data Attestation in Smart Environment

Nisha Panwar, Shantanu Sharma, Guoxi Wang +4

Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems. There are several reasons why such a trust is misp…

cs.CR2019★ 13 cited

Smart Home Survey on Security and Privacy

Nisha Panwar, Shantanu Sharma, Sharad Mehrotra +2

Smart homes are a special use-case of the Internet-of-Things (IoT) paradigm. Security and privacy are two prime concern in smart home networks. A threat-prone smart home can reveal…

cs.CR2019★ 2 cited

Verifiable Round-Robin Scheme for Smart Homes

Nisha Panwar, Shantanu Sharma, Guoxi Wang +2

Advances in sensing, networking, and actuation technologies have resulted in the IoT wave that is expected to revolutionize all aspects of modern society. This paper focuses on the…

cs.CY2017★ 1 cited

Research Agenda in Intelligent Infrastructure to Enhance Disaster Management, Community Resilience and Public Safety

Michael Dunaway, Robin Murphy, Nalini Venkatasubramanian +2

Modern societies can be understood as the intersection of four interdependent systems: (1) the natural environment of geography, climate and weather; (2) the built environment of c…

cs.DC2013★ 7 cited

On Optimal and Fair Service Allocation in Mobile Cloud Computing

M. Reza Rahimi, Nalini Venkatasubramanian, Sharad Mehrotra +1

This paper studies the optimal and fair service allocation for a variety of mobile applications (single or group and collaborative mobile applications) in mobile cloud computing. W…

cs.DB2009★ 2 cited

An Event Based Approach To Situational Representation

Naveen Ashish, Dmitri Kalashnikov, Sharad Mehrotra +1

Many application domains require representing interrelated real-world activities and/or evolving physical phenomena. In the crisis response domain, for instance, one may be interes…