75 citations · 90 across the 15 of their papers we have counts for
16 papers
Schedule Repair for DAG Workflows under Link Disruptions
Mohammadali Khodabandehlou, Jared Coleman, Bhaskar Krishnamachari +1
Schedules for directed acyclic graph (DAG) workflows in networked IoT systems are typically computed assuming a static or generally stable network. In contested and adversarial env…
Studying the Effect of Schedule Preemption on Dynamic Task Graph Scheduling
Mohammadali Khodabandehlou, Jared Coleman, Niranjan Suri +1
Dynamic scheduling of task graphs is often addressed without revisiting prior task allocations, with a primary focus on minimizing makespan. We study controlled schedule preemption…
Crowd-SFT: Crowdsourcing for LLM Alignment
Alex Sotiropoulos, Sulyab Thottungal Valapu, Linus Lei +2
Large Language Models (LLMs) increasingly rely on Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) to align model responses with human preferences…
AffectEval: A Modular and Customizable Framework for Affective Computing
Emily Zhou, Khushboo Khatri, Yixue Zhao +1
The field of affective computing focuses on recognizing, interpreting, and responding to human emotions, and has broad applications across education, child development, and human h…
Reward-based Blockchain Infrastructure for 3D IC Supply Chain Provenance
Sulyab Thottungal Valapu, Aritri Saha, Bhaskar Krishnamachari +2
In response to the growing demand for enhanced performance and power efficiency, the semiconductor industry has witnessed a paradigm shift toward heterogeneous integration, giving…
A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches
Rodrigo Dutra Garcia, Gowri Ramachandran, Kealan Dunnett +4
Modern distributed applications in healthcare, supply chain, and the Internet of Things handle a large amount of data in a diverse application setting with multiple stakeholders. S…
Artificial Intelligence of Things: A Survey
Shakhrul Iman Siam, Hyunho Ahn, Li Liu +7
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In t…
Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking
Narjes Nourzad, Bhaskar Krishnamachari
In dynamic and resource-constrained environments, such as multi-hop wireless mesh networks, traditional routing protocols often falter by relying on predetermined paths that prove…
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages
Jared Coleman, Bhaskar Krishnamachari, Khalil Iskarous +1
We propose a new paradigm for machine translation that is particularly useful for no-resource languages (those without any publicly available bilingual or monolingual corpora): LLM…
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
Arvin Hekmati, Bhaskar Krishnamachari
This study introduces a robust solution for the detection of Distributed Denial of Service (DDoS) attacks in Internet of Things (IoT) systems, leveraging the capabilities of Graph…
Parameterized Task Graph Scheduling Algorithm for Comparing Algorithmic Components
Jared Coleman, Ravi Vivek Agrawal, Ebrahim Hirani +1
Scheduling distributed applications modeled as directed, acyclic task graphs to run on heterogeneous compute networks is a fundamental (NP-Hard) problem in distributed computing fo…
PISA: An Adversarial Approach To Comparing Task Graph Scheduling Algorithms
Jared Coleman, Bhaskar Krishnamachari
Scheduling a task graph representing an application over a heterogeneous network of computers is a fundamental problem in distributed computing. It is known to be not only NP-hard…
CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health
Sheng Yu, Narjes Nourzad, Randye J. Semple +3
The COVID-19 pandemic has intensified the urgency for effective and accessible mental health interventions in people's daily lives. Mobile Health (mHealth) solutions, such as AI Ch…
Forecasting Cryptocurrency Staking Rewards
Sauren Gupta, Apoorva Hathi Katharaki, Yifan Xu +2
This research explores a relatively unexplored area of predicting cryptocurrency staking rewards, offering potential insights to researchers and investors. We investigate two predi…
Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach
Xi Zheng, Aloysius K. Mok, Ruzica Piskac +5
The integration of machine learning (ML) into cyber-physical systems (CPS) offers significant benefits, including enhanced efficiency, predictive capabilities, real-time responsive…
Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities
Sara Abdali, Sina shaham, Bhaskar Krishnamachari
As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking a…