Available Speakers in United States
California
Mohammad Abdullah Al Faruque – Irvine, CA
Ricardo Baeza-Yates – Palo Alto, CA
- Bias and the Web
- Big Data or Right Data? Opportunities and Challenges
- Distributed Web Search
- Ethics in AI: A Challenging Task
- Information Retrieval
- Responsible AI
- Semantic Search
- Web Data Mining
Mehdi Bahrami – Santa Clara, CA
- A Hands-On Workshop: Building Advanced AI Applications and Agents in One Hour
- Advancing AGI: From Training and Fine-Tuning to Interactive Agent Development
- Discovering Bias in Large Language Models (LLMs)
Geeta Chauhan – Santa Clara, CA
- AI @ Edge using Intel NCS
- Best Practices for On-Demand HPC
- Decentralized AI: Convergence of Blockchain and AI
- Deep Learning for Medical Imaging
- Distributed Deep Learning Optimizations
Ilke Demir – Hermosa Beach, CA
- Embattling for a Deep Fake Dystopia
- The Future of Filmmaking: AI for Volumetric Capture and Reconstruction
- The Science of Generative Architecture: Proceduralization
Lance Eliot – Palo Alto, CA
- Artificial Intelligence Trends for Computer Science Students
- Career Advice for Computer Science Students
- Entrepreneurship for Computer Science Students
Dan Garcia – Millbrae, CA
- Achieving CSforALL through the Beauty and Joy of Computing (BJC)
- Beauty and Joy of Computing 1-week Professional Development
- Effective Teaching, Mentoring and Curriculum Development
- Following your passion: Graphics, Game Theory and Genealogy
- GamesCrafters: Solving the World's Board Games with Computational Game Theory
- The Beauty and Joy of Binary Numbers
- The Snap! (Build Your Own Blocks) Programming Environment
- Why Latino Students Need Computer Science Now
Aditya Kumar – San Jose, CA
- Code Size Compiler Optimizations and Techniques for Embedded Systems
- Performance analysis and optimization
- Performance analysis and optimization of C++ standard libraries
C.-C. Jay Kuo – Los Angeles, CA
Doris Lee – El Dorado Hills, CA
Maja Mataric´ – South Pasadena, CA
- Robots That Care: Socially Assistive Robotics and the Future of Work and Care
- Robots That Care: Socially Assistive Robotics for Eldercare
- Socially Assistive Robotics Right Now: Personalized Embodied Systems for In-Home Support of Health, Wellness, Education, and Training
- Socially Assistive Robotics as a Path to Accessible Personalized Autism Spectrum Disorder (ASD) Therapy Support
Kenny Mitchell – Burbank, CA
- Delivering Intelligence Telexistence in Virtual Worlds with Everyone
- Delivering Interactive 3D with Everyone
- Delivering Interactive Emotional Avatars with Everyone
Corina Pasareanu – Sunnyvale, CA
Allison Woodruff – Mountain View, CA
- Advancing Explainability Through AI Literacy And Design Resources
- How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
Bronis R de Supinski – Livermore, CA
Colorado
Anura Jayasumana – Fort Collins, CO
- Finding Emergent Patterns of Behaviors in Dynamic Heterogeneous Social and Behavioral Data: Experience with Violent Extremist Radicalization Trajectories
- Machine Learning and Networks - Challenges, Solutions and Tradeoffs
- Machine Learning and Synthetic Data - Potential and Pitfalls
- On Sampling and Reconstruction of Large-Scale Networks using Graph Geodesics, Matrix Completion and Machine Learning
Sudeep Pasricha – Fort Collins, CO
- Artificial Intelligence at the Speed of Light
- Energy Challenges with Computing: from Internet-of-Things to Datacenters
- Machine Learning for Smart Indoor Navigation
- Robust and Secure Design for Connected and Autonomous Vehicles
Connecticut
Nitesh Goyal – Stamford, CT
- "You have to prove the threat is real": Understanding the needs of Female Journalists and Activists
- Effects of Sensemaking Translucence on Distributed Collaborative Analysis
- Impact of Data Annotator Identity on ML Model Outcomes: Unpacking Specialized Rater Pools
- Intelligent Interruption Management using Electro Dermal Activity based Physiological Sensor for Collaborative Sensemaking
- Leveraging AI Responsibly in Sensemaking for Successful Human AI Workflows
- RAMPARTS: Supporting Sensemaking with Spatially-Aware Mobile Interactions
D.C.
Danda B Rawat – Washington, DC
- Blockchain Technology: Emerging Applications and Use Cases
- Secure and Trustworthy Machine Learning and Artificial Intelligence for Multi-Domain Applications
- Wireless Virtualization for Enhancing Network Capacity, Network Coverage, Energy Efficiency and Wireless Security for Next Generation Wireless Networking
Florida
Domenic Forte – Gainesivlle, FL
- Beyond the Lab: Real-Time Applications of Power and EM Side-Channel Analysis
- Building Resilience: The Power of Cyber-Informed Engineering in a Digital Age
- Counterfeit Electronics Detection and Avoidance
- Hardware Obfuscation Pitfalls and Potential
- Hardware Security and Assurance: The Power of Reverse Engineering
- The Weakest Link: Microelectronics Security Against Physical Attacks
David Mohaisen – Orlando, FL
- How Secure are Blockchain Systems?
- Malware Analysis and Classification Using Machine Learning
- Towards Taming Adversarial Machine Learning: Security Applications Perspectives
Yan Solihin – Orlando, FL
- Cache Coherence in Multicore and Multiprocessor Systems
- High-Performance Architecture Techniques for Persistent Memory
- High-Performance Software Techniques for Persistent Memory
- Memory Consistency Models: from Theory to Practice
- Parallel Programming with Linked Data Structures
- Persistent Memory: How Abstractions Impact Performance
- Secure Execution Environment: Design Principles and Common Pitfalls
- Security Implications of Persistent Memory
Georgia
Polo Chau – Atlanta, GA
Daniel Takabi – ATLANTA, GA
Iowa
Juan Pablo Hourcade – Iowa City, IA
- Giving Out Superpowers: A Discussion of Ethics, Cognitive Processes, and the Future of Interactive Technology
- Universal Interactions for Children
Illinois
Sheldon H Jacobson – Urbana, IL
- Analytical Models for Generating NCAA Men's Basketball Tournament Bracket Pools: Injecting Computation into March Madness
- Communicating Your Research to the Public: Things They Never Taught you School
- Is Computational Redistricting and Algorithms the Solution to Gerrymandering?
Indiana
Nitesh Chawla – Notre Dame, IN
- Harnessing Artificial Intelligence for Scientific Discovery: Challenges and Opportunities in Chemistry
- Learning from Imbalanced Data: Progress and Challenges
- Learning on Graphs
- Traversing the Journey of Data and AI: From Convergence to Translation
Colin M. Gray – Bloomington, IN
- Addressing Dark Patterns through Bi-Directional Use of the Law and Design
- Deceptive Design and the Growing Threat of "Dark Patterns" in Technology Practices
- Developing and Sustaining Competence in HCI Education
- Employing "Everyday Ethics" in Design Practice
Yiyu Shi – Notre Dame, IN
- ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPU
- Hardware-aware Machine Learning for Biomedical Applications
- Hardware/Software Co-Design Towards Quantum Advantages
- Hardware/Software Co-Design Towards TinyML
Kim W. Tracy – Terre Haute, IN
Kentucky
Olfa Nasraoui – Louisville, KY
Massachusetts
Emery D Berger – Amherst, MA
Kenneth W Church – Boston, MA
Daniel Jackson – Cambridge, MA
Dakuo Wang – Cambridge, MA
- A New Paradigm of Human-Computer Interaction: Human-AI Collaboration
- Computer-Supported Collaborations In Practice: Two Case Studies of Collaborative Editing and Human-AI Collaboration
- Introduction to Computer Supported Cooperated Work (CSCW) and Human-AI-Collaboration
Maryland
Ashutosh Dutta – Laurel, MD
Josiah Dykstra – Severn, MD
- American Self-Defense in Cyberspace
- Getting Started with Cybersecurity Science
- Stress and Hacking: Understanding Cognitive Stress in Tactical Cyber Operations
Houbing Song – Baltimore, MD
- AI for Cybersecurity and Security of AI
- AI/Machine Learning for Internet of Dependable and Controllable Things
- Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends
- Data-Efficient Machine Learning
- Real-Time Machine Learning for Quickest Detection
- The Third Wave of Artificial Intelligence: Neurosymbolic AI
Ram Sriram – Gaithersburg, MD
- Artificial Intelligence and Machine Learning in Manufacturing: An Overview Speaker
- Information Technology for the Health Care Enterprise
- On Computational Challenges in Cyber-Physical-Social System Design
- The Role of NIST in the Development of Standards
- Transforming Health Care Through Digital Revolutions
Michigan
Betty H.C. Cheng – East Lansing, MI
- Applying Model-Driven Requirements Engineering to Manage Uncertainty for High-Assurance Self-Adaptive Systems: Lessons Learned and Research Challenges
- Be careful what you wish for...When should we trust AI?
- Search-Based Software Engineering for Learning-Enabled Self-Adaptive Systems
- Software Engineering for Learning-Enabled Self-Adaptive Systems
Kalyanmoy Deb – MI
- Machine Learning Assisted Improvements to Multi-Criterion Optimization Algorithms
- Problem Solving with Multiple Criteria ? A New and Innovative Tool in Computing
- Recent Advancements in Evolutionary Multi-Criterion Optimization and Decision-making
N. Carolina
Samarjit Chakraborty – Chapel Hill, NC
- Resource-Aware Cyber-Physical Systems Design
- Sustainable Computing - Cars, Games, Phones, and Drones
Xipeng Shen – Raleigh, NC
- Does Software Have to Be This Dumb? ? A Journey Towards Lifetime Self-Improvement
- ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs
- Efficient AI through and for Intelligent Programming Systems
- Making Intelligent Computing More Efficient: A Redundancy-Centric Approach
- When Contention Meets Heterogeneity
New York
Pin-Yu Chen – WHITE PLAINS, NY
Kaoutar El Maghraoui – Yorktown Heights, NY
- Optimizing Deep Learning for Real-World Deployment: The Role of Hardware-Aware Neural Architecture Search
- Platform for Next-Generation Analog AI Hardware Acceleration
- Powering the Future of Efficient AI through Approximate and Analog In-Memory Computing Principals
- Revolutionizing Enterprise AI: The Power and Promise of Foundation Models
Eren Kurshan – New York, NY
Mehdi Mirakhorli – Rochester, NY
Titus Winters – Long Island City, NY
- Basics of Tech Debt
- Design is Testability
- Software Is a Team Sport
- Vision for a Modern Software Workflow
Mohamed Zahran – New York, NY
- AI Support for Architecture
- GPUs in Machine Learning and Big-Data Era: The Good, the Bad, and the Ugly
- Hardware Support for AI
- Processing in Memory: Opportunities and Challenges
- The Era of Accelerators: Are they Really the Solution for Post-Moore?
- The Road to Exascale: Challenges and Opportunities
Oregon
Margaret Burnett – Corvallis, OR
- "Regular" CS × Inclusive Design = Smarter Students and Greater Diversity
- Gender-Inclusive Software and Beyond
- Mission: To enable diverse mere mortals to assess an AI agent's "goodness" for their own needs
- Research Experiences for Undergraduates (for Faculty)
Pennsylvania
Yuejie Chi – Pittsburgh, PA
- A Tale of Preconditioning and Overparameterization in Ill-conditioned Low-rank Estimation
- From Single-agent to Federated Reinforcement Learning
- Provable Learning from Data with Priors: from Low-rank to Diffusion Models
- Statistical Foundations of Reinforcement Learning Through a Non-asymptotic Lens
Swaroop Ghosh – State College, PA
- Comprehensive treatment of security of persistent memories
- Demystifying Sensing Techniques for Non-Volatile Memories
- Exploiting Emerging Memory Technologies for Hardware Security
- Making Noisy Intermediate Scale Quantum (NISQ) Computing Useful
- Obfuscation of analog IPs
- Test Challenges and Solutions for Resilient Non-Volatile Memory Design
Abhronil Sengupta – University Park, PA
S. Dakota
KC (Casey) Santosh – SD
Tennessee
Ahmedullah Aziz – Knoxville, TN
- AI for Better Hardware & Hardware for Better AI
- Computing at the Ultra-Cold: Exploring the Frontiers of Cryogenic Electronics
- Transforming Nanoelectronics with Threshold Switching Volatile Memristors
Donald Gotterbarn – Johnson City, TN
- Being a Computer Professional: Technology in context
- Computer Ethics and Technology
- Software Development: More Than Just Programming
- Software Development: Think beyond the code.
- Unmanaged Risk: Why Systems Don't Work
- What to do about Ethics: Using the ACM Code of Ethics in Decision Making for the Computing Professional (non-philosopher)
Texas
Sharma Chakravarthy – Bedford, TX
- Data-Driven Analysis: Decomposition-Based Approach for Multilayer Networks (MLNs)
- Video Situation Analysis Using Stream Data Processing
Albert M. K. Cheng – Houston, TX
- Fault-Tolerant Regularity-Based Real-Time Virtual Resources
- Implementing Next-Generation Embedded Systems with Functional Reactive Programming and Real-Time Virtual Resources
- Multi-Mode Task Scheduling for Preemptive Functional Reactive Programming
- Practical Real-Time Virtual Resources: Transparent Task Scheduling on Evenly Distributed Temporal Resource Partitions
- Real-Time Virtual Resources: Static Approximation Algorithms for Regularity-based Resource Partitioning
Kim-Kwang Raymond Choo – San Antonio, TX
- An interdisciplinary STEAM approach to cyber security research
- Internet of Things (IoT) Forensics: Challenges and Opportunities
- Internet of Things (IoT) cyber security and threat intelligence: What are the research challenges and opportunities?
Zhu Han – Houston, TX
- A Carbon-Oriented Energy System Framework with Cross Disciplinary Technologies
- Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks
- Cryptoeconomics: Economic Mechanisms behind Blockchains
- Distributionally Robust Optimization and Machine Learning for Communication Networks
- Federated Learning and Analysis with Multi-access Edge Computing
- Generative AI Enabled Semantic Communication
- HOLOGRAPHIC RADIO: A NEW PARADIGM FOR ULTRA-MASSIVE MIMO
- Hybrid Quantum and Classic Computing for Future Networking
- Integration Sensing and Communication for 6G: Waveform Design, Resource Allocation, Application and Prototype Demo
- Mean Field Game Applications in Robots and UAVs
- Multi-Armed Bandits and Its Application in Wireless Networks
- The Transformative Impact of Generative AI: Strategies, Applications, and Innovations
Latifur Rahman Khan – Plano, TX
- Automating Vulnerability Detection and Prevention in Smart Contracts
- Big Data Stream Analytics & Its Applications
- Data to Knowledge: Modernizing Political Event Data for Big Data Social Science
- MultiCon: A Multi-Contrastive Learning based Semi-Supervised Classification Framework and Its Applications Towards Covid19
Zhangyang "Atlas" Wang – Austin, TX
Utah
Erik Brunvand – UT
- A Tale of Two Rendering Algorithms: Ray Tracing, Rasterization, and their Supporting Hardware
- Computational Thinking Meets Design Thinking: Technology and Arts Collaborations
- Technological Fluency through Circuit Bending
- What Programmers Should Know about DRAM
Virginia
Denys Poshyvanyk – Williamsburg, VA
Washington
Xin Luna Dong – Seattle, WA
- Next-generation Intelligent Assistants for Wearable Devices
- The Journey to a Knowledgeable Assistant
Sumit Gulwani – Redmond, WA
- AI-assisted Programming: Applications, Experiences, and Neuro-symbolic techniques
- Art of Disruptive Research
- Enhancing LLM performance with Cognitive Strategies
- Storytelling and Science
- The Story of Flash Fill and how it shaped me