Available Speakers in United States

California

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

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

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

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

Syed Hassan Ahmed Shah – Corona, CA

• Integrating Named Data Networking in Connected Vehicles
• Named Data Networking in Connected and Smart Cities

David G. Stork – Portola Valley, CA

• When computers look at art Computer vision, deep learning, and artificial intelligence in the study of fine art paintings and drawings

Colorado

Anura Jayasumana – Fort Collins, CO

• Finding Emergent Patterns of Behaviors in Dynamic Heterogeneous Social and Behavioral Data: Experience with Violent Extremist Radicalization Trajectories
• On Sampling and Reconstruction of Large-Scale Networks using Graph Geodesics, Matrix Completion and Machine Learning
• Topology Preserving Maps: A Localization-Free Approach for 2-D and 3-D IoT Subnets

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

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

• Secure and Interpretable AI: Scalable Interactive and Practical Tools

Sung Kyu Lim – Suwanee, GA

• The Need for Fine-Pitch 3D IC Die Bonding Technology: Power Performance Benefits Perspective

Daniel Takabi – ATLANTA, GA

• Secure Privacy preserving Machine Learning

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

Yiyu Shi – Notre Dame, IN

• 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

• Software History - Specific topic to be chosen
• Software History - Why is it important?

Massachusetts

Emery D Berger – Amherst, MA

• How to Have Impact: Five Easy Pieces
• Performance Matters
• Saving the World from Spreadsheets

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

• Security in 5G Networks - Challenges and Opportunities
• Systems Optimization in Mobility Management

Josiah Dykstra – Severn, MD

• American Self-Defense in Cyberspace
• Getting Started with Cybersecurity Science
• Stress and Hacking: Understanding Cognitive Stress in Tactical Cyber Operations

Lauren Maffeo – Bethesda, MD

• Erase Unconscious Bias From Your AI Datasets

Houbing Song – Baltimore, MD

• 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

Shuaiwen Leon Song – Baltimore, MD

• Designing Future Planet-Scale Extended Reality System through Co-Design Methodology
• Designing Future Quantum Von Neumann Architecture with Fine-Grained Compiler and Program Language Support

Houbing Song – Baltimore, MD

• Real-Time Machine Learning for Quickest Detection

Shuaiwen Leon Song – Baltimore, MD

• Software-Hardware Co-Design for Future AI-driven Complex Systems

N. Carolina

Samarjit Chakraborty – Chapel Hill, NC

• Resource-Aware Cyber-Physical Systems Design
• Sustainable Computing - Cars, Games, Phones, and Drones

New York

Mehdi Mirakhorli – Rochester, NY

• Secure by Design
• Securing Software Supply Chain

Vijayalakshmi Saravanan – Rochester, NY

• Current and Future Trends in Architecture-specific research problems
• Introduction to Data Science using Python Programming
• Perspectives on Big data, Machine learning and AI
• Software Engineering and Data science

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

• Gender-Inclusive Software and Beyond
• Research Experiences for Undergraduates (for Faculty)

Pennsylvania

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

Carol J Smith – Pittsburgh, PA

• AI and Machine Learning Demystified
• Being Actively Ethical: Dynamic HCI for AI
• Gearing up for Ethnography
• Implementing Ethics in Emerging Technologies
• Techniques for Integrating HCI into Agile Efforts

S. Dakota

KC Santosh – SD

• #AI for infectious diseases: #Pneumonia, #TB and #Covid-19

Tennessee

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?

Kiran Gunnam – Austin, TX

• Co-Design of Algorithms and Architectures for Machine Learning Inference at the Edge for Video Analytics
• Domain Specific Accelerator (DSA) architectures for Signal Processing, Communications and Machine Learning
• LDPC based Advanced Error Correction Coding and 5G
• Machine Learning Foundations -An Intuitive Approach

Zhu Han – Houston, TX

• 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
• Hybrid Quantum and Classic Computing for Future Networking
• Mean Field Game Applications in Robots and UAVs
• Multi-Armed Bandits and Its Application in Wireless Networks

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

• Learning to Optimize: A Gentle Introduction
• Sparse Neural Networks: From Practice to Theory

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

• Deep Learning for Software Engineering