25 citations · 43 across the 21 of their papers we have counts for
22 papers
Mapping Multimodal Pilot Stress and Fatigue During Flight Sessions
Atandrila Chowdhury, Sudip Vhaduri, Julius Keller +2
This study analyzes patterns of stress and exhaustion among student pilots throughout flight training using a combination of physiological and self-reported measurements. The Perce…
Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security
Connor Barbaccia, Sudip Vhaduri, Sayanton Dibbo
Proof-of-Work blockchains secure consensus through hash puzzles, producing no external value. In this research, we propose a decentralized AI economy where nodes are rewarded for u…
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
Sudip Vhaduri, Ryan Gammon, Sayanton Dibbo
The rapid growth of computer vision and increasingly complex image recognition tasks has exposed fundamental computational limitations of classical machine learning models, motivat…
Empa: An AI-Powered Virtual Mentor for Developing Global Collaboration Skills in HPC Education
Ashish, Aparajita Jaiswal, Sudip Vhaduri +2
High-performance computing (HPC) and parallel computing increasingly rely on global collaboration among diverse teams, yet traditional computing curricula inadequately prepare stud…
Cough Classification using Few-Shot Learning
Yoga Disha Sendhil Kumar, Manas V Shetty, Sudip Vhaduri
This paper investigates the effectiveness of few-shot learning for respiratory sound classification, focusing on coughbased detection of COVID-19, Flu, and healthy conditions. We l…
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
Andrea Gajic, Sudip Vhaduri
In a world where new domains are constantly discovered and machine learning (ML) is applied to automate new tasks every day, challenges arise with the number of samples available t…
Sound Classification of Four Insect Classes
Yinxuan Wang, Sudip Vhaduri
The goal of this project is to classify four different insect sounds: cicada, beetle, termite, and cricket. One application of this project is for pest control to monitor and prote…
Multimodal Audio-based Disease Prediction with Transformer-based Hierarchical Fusion Network
Jinjin Cai, Ruiqi Wang, Dezhong Zhao +8
Audio-based disease prediction is emerging as a promising supplement to traditional medical diagnosis methods, facilitating early, convenient, and non-invasive disease detection an…
Mitigating Sex Bias in Audio Data-driven COPD and COVID-19 Breathing Pattern Detection Models
Rachel Pfeifer, Sudip Vhaduri, James Eric Dietz
In the healthcare industry, researchers have been developing machine learning models to automate diagnosing patients with respiratory illnesses based on their breathing patterns. H…
Toward Mitigating Sex Bias in Pilot Trainees' Stress and Fatigue Modeling
Rachel Pfeifer, Sudip Vhaduri, Mark Wilson +1
While researchers have been trying to understand the stress and fatigue among pilots, especially pilot trainees, and to develop stress/fatigue models to automate the process of det…
Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People's Cough Detection Models
Sudip Vhaduri, Seungyeon Paik, Jessica E Huber
Millions of people have died worldwide from COVID-19. In addition to its high death toll, COVID-19 has led to unbearable suffering for individuals and a huge global burden to the h…
Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains
Jinjin Cai, Sudip Vhaduri, Xiao Luo
Rapid discovery of new diseases, such as COVID-19 can enable a timely epidemic response, preventing the large-scale spread and protecting public health. However, limited research e…
Predicting dominant hand from spatiotemporal context varying physiological data
Jorge Neira-Garcia, Sudip Vhaduri
Health metrics from wrist-worn devices demand an automatic dominant hand prediction to keep an accurate operation. The prediction would improve reliability, enhance the consumer ex…
Automatic Anomalies Detection in Hydraulic Devices
Jose A. Solorio, Jose M. Garcia, Sudip Vhaduri
Nowadays, the applications of hydraulic systems are present in a wide variety of devices in both industrial and everyday environments. The implementation and usage of hydraulic sys…
Opportunistic Multi-Modal User Authentication for Health-Tracking IoT Wearables
Alexa Muratyan, William Cheung, Sayanton V. Dibbo +1
With the advancement of technologies, market wearables are becoming increasingly popular with a range of services, including providing access to bank accounts, accessing cars, moni…
Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution
Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer
During the transition from high school to on-campus college life, a student leaves home and starts facing enormous life changes, including meeting new people, more responsibilities…
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
Ying Mao, Yuqi Fu, Suwen Gu +3
Businesses have made increasing adoption and incorporation of cloud technology into internal processes in the last decade. The cloud-based deployment provides on-demand availabilit…
Context-Dependent Implicit Authentication for Wearable Device User
William Cheung, Sudip Vhaduri
As market wearables are becoming popular with a range of services, including making financial transactions, accessing cars, etc. that they provide based on various private informat…
Continuous Authentication of Wearable Device Users from Heart Rate, Gait, and Breathing Data
William Cheung, Sudip Vhaduri
The security of private information is becoming the bedrock of an increasingly digitized society. While the users are flooded with passwords and PINs, these gold-standard explicit…
Adherence to Personal Health Devices: A Case Study in Diabetes Management
Sudip Vhaduri, Temiloluwa Prioleau
Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, a…
Summary: Multi-modal Biometric-based Implicit Authentication of Wearable Device Users
Sudip Vhaduri, Christian Poellabauer
The Internet of Things (IoT) is increasingly empowering people with an interconnected world of physical objects ranging from smart buildings to portable smart devices such as weara…
Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods
Sudip Vhaduri, Christian Poellabauer
The Internet of Things (IoT) is increasingly empowering people with an interconnected world of physical objects ranging from smart buildings to portable smart devices such as weara…