Available Speakers in United States
Arizona
Javier Gonzalez-Sanchez – Tempe, AZ
- Affect-Driven Self-Adaptation: A Step Forward in Human-Centered Software
- Affective Computing: A Roadmap Through Approaches, Technologies, and Data Analysis
- Artificial Emotional Intelligence
- Parallel Computing 101: An overview of multiprocessor, multicore, and GPU programming
California
Ricardo Baeza-Yates – Palo Alto, CA
- Bias and the Web
- Big Data or Right Data? Opportunities and Challenges
- Designing Algorithms
- Distributed Web Search
- Ethics in AI: A Challenging Task
- Information Retrieval
- 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
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
Houbing Song – Daytona Beach, FL
- 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
Georgia
Polo Chau – Atlanta, GA
Sung Kyu Lim – Suwanee, 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
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
Massachusetts
Emery D Berger – Amherst, 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
Lauren Maffeo – Bethesda, MD
New York
Mehdi Mirakhorli – Rochester, NY
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
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
Tennessee
Donald Gotterbarn – Johnson City, TN
- Being a Computer Professional: Technology in context
- 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
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