Introduction to MIT Lincoln Laboratory & Zero Trust Cybersecurity – Trust Nothing
Creating Deep Embeddings for Characterizing Military-Relevant Gastrointestinal Diseases
An Information-Theoretic Approach to Network Privacy: Attack Strategies, Defense Mechanisms,and Privacy-Utility Trade-offs
Tools and Techniques to Measure, Analyze, and Respond to Modern Automated Web Attacks
Explainable Machine Learning to Aid Cancer Precision Medicine
Fair Learning with Graph: Algorithms and Applications
Coupled Reinforcement Learning for Resilient Interdependent Networks
Self-Testing of Microservices at Runtime Using Replication with Validation
The Role of Mindset Messages in Broadening Participation in Computing: An Ethnographic Study on Student Engagement
Scalable and Explainable Deep Learning Approaches for Environmental Science Problems
Standardizing The Use Of Artificial Intelligenc In Multimedia Forensics And Anti-Forensics
Leveraging Kernel Events and Causal Relationship for Narrative Similarity Detection
Multilevel Concept Detection in Patent Documents and Educational Discourses
Automating Satellite Imagery Analysis: Advanced Generative and Deep Learning Models for Map Synthesis and Beyond
Feature Representation Learning: From Generalized to Personalized Federated Learning
Deep Learning Methods for Recommendation and Other Problems in the Educational Domain
Computer Vision for Anomaly Detection: From Centralized to Distributed Learning
Statistical and Machine Learning Analysis of the Human Brain Functional Network in a Multi-site Resting-state Functional MRI Database Framework
Enhancing Storage Systems with Generalized Fault-Tolerant Caching and Feature Plugins
Causal Machine Learning: Continuous Structure Learning and Identifiability of Causal Invariances
Achieving Compositional Safety and Security in IoT Environments
Mayhem Makers: A researcher’s guide to hacking cars in the real world
Object-level Planning: Bridging the Gap between Human Knowledge and Task and Motion Planning
Designing to Support Resilience among Aging Population
Never Too Late: Understanding The Experiences Of Non-Computing Women’s Transition Into Computing Careers
Challenges and Opportunities in Quantum Networks
Learning to synthesize images with multimodal and hierarchical inputs
Adaptive AI, Space-Time Modeling, & Communities
Subclonal Evolution Inference from Expressed Mutations in Full-length Single-cell RNA-seq Data
