1 citations · 2 across the 11 of their papers we have counts for
11 papers
Network-Aware Forecasting on Wireless Access Points
Niloo Bahadori, Swadhin Pradhan, Peiman Amini
Enterprise wireless access points (APs) are promising platforms for predictive machine learning (ML), but their primary responsibility remains providing wireless connectivity and n…
APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
Swadhin Pradhan, Niloo Bahadori, Peiman Amini
Generic time-series foundation models transfer poorly to wireless network telemetry whose signals are bursty, zero-inflated, and coupled across protocol layers. We present APEX, a…
Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring
Jerome Henry, Swadhin Pradhan, Miroslav Popovic
Diagnosing 802.11 packet captures requires expert protocol knowledge, is slow, inconsistent across engineers, and unscalable. LLM-based approaches sound plausible but fabricate pro…
MIRO: Multi-radar Identity and Ranging for Occupational Safety
Tirthankar Halder, Argha Sen, Swadhin Pradhan +2
Occupational exposure to airborne particulate matter (PM) poses a severe health risk in open industrial workspaces such as stonecutting yards. Conventional monitoring solutions suc…
From Invisible to Actionable: Augmented Reality Interactions with Indoor CO2
Prasenjit Karmakar, Manjeet Yadav, Swayanshu Rout +2
Indoor carbon dioxide (CO2) can rapidly accumulate to form invisible pollution hotspots, posing significant health risks due to its odorless and colorless nature. Despite growing i…
Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic Setting
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Changing public perceptions and government regulations have led to the widespread use of low-cost air quality monitors in modern indoor spaces. Typically, these monitors detect air…
A Dataset for Multi-intensity Continuous Human Activity Recognition through Passive Sensing
Argha Sen, Anirban Das, Swadhin Pradhan +1
Human activity recognition (HAR) is essential in healthcare, elder care, security, and human-computer interaction. The use of precise sensor data to identify activities passively a…
Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Indoor air pollution is a major issue in developing countries such as India and Bangladesh, exacerbated by factors like traditional cooking methods, insufficient ventilation, and c…
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
In recent years, indoor air pollution has posed a significant threat to our society, claiming over 3.2 million lives annually. Developing nations, such as India, are most affected…
Exploring Indoor Health: An In-depth Field Study on the Indoor Air Quality Dynamics
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Indoor air pollution, a significant driver of respiratory and cardiovascular diseases, claims 3.2 million lives yearly, according to the World Health Organization, highlighting the…
Continuous Multi-user Activity Tracking via Room-Scale mmWave Sensing
Argha Sen, Anirban Das, Swadhin Pradhan +1
Continuous detection of human activities and presence is essential for developing a pervasive interactive smart space. Existing literature lacks robust wireless sensing mechanisms…