Available Speakers in United States

California

Dorian C Arnold – Orange County, CA

• A Non-checkpoint/restart, Non-algorithm-specific Approach to Fault-tolerance
• Scalable Middleware and Tools for High-Performance Computing
• The SMURFS Project: Simulation and Modeling for Understanding Resilience and Faults at Scale

Ricardo Baeza-Yates – Palo Alto, CA

• Bias and the Web
• Big Data or Right Data? Opportunities and Challenges
• Designing Algorithms
• Distributed Web Search
• Information Retrieval
• Semantic Search
• Web Data Mining

Brian A. Barsky – Berkeley, CA

• Boeing 737 MAX: Money, Machines, and Morals in Conflict
• Computational Optometry: Optometry and Vision Science Meets Computer Graphics and Geometric Modeling
• Computational Photography: Going Forward from an Historical Perspective
• Computer Aided Geometric Design and Modeling for Curve and Surface Representations
• Innovative Approaches to Teaching Animation
• Simulating Human Vision and Vision Correcting Displays
• The BLUR Project at Berkeley: Algorithms for Computer Generated Imagery, Computational Photography, and Aiding Human Vision
• Vision Realistic Rendering

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

Elizabeth Churchill – Mountain View, CA

• Human Computer Interaction: Past, Present and Future

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

Laura M Haas – San Jose, CA

• Data, Analytics, and the Dawn of the Cognitive Era of Computing.
• Accelerating Data Discovery for Better Health
• Accelerating the Discovery of Insights from Data
• Impact! Great Research, Great Scientists, Great Careers
• The Power Behind the Throne: Information Integration in the Age of Data-Driven Discovery

Scott Jenson – Mountain View, CA

• Home Automation is an EasyHard problem
• The Physical Web
• The UX Grid of IoT

Ashish Kundu – San Jose, CA

• A Trusted Healthcare Data Analytics Cloud Platform
• Assurance of Trust: Blockchain and AI -- Necessary and Sufficient?
• Baking Compliance into Cloud: Art or Science?
• Compliance-Aware Provisioning of Containers on Cloud
• Energy Attacks on Mobile and IoT Devices
• Exploiting Placement New of C++
• GDPR: Challenges and Issues
• HMACs for Graph Data
• Network Flow Security Analytics for IoT and Mobile Devices
• Privacy-preserving Authentication of Graphs on Cloud
• Research Directions in Blockchain Data Management and Analytics
• Risk-Based Packet Routing for Privacy and Compliance-Preserving SDN
• Security and Compliance Issues in Blockchain
• Trusting Autonomous Cars

Shaoshan Liu – Fremont, CA

• ?-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-Observation Optimization
• ?-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures
• DragonFly+: An FPGA-based quad-camera visual SLAM system for autonomous vehicles
• Edge Computing for Autonomous Driving: Opportunities and Challenges
• Enabling Computer-vision-based Autonomous Driving with Affordable and Reliable sensors

Aditi Majumder – Irvine, CA

• Imparting New Degrees of Freedom to Next Generation Displays and Cameras

Jacquelyn F Morie – Los Angeles, CA

• Creating Meaningful Works of Virtual Reality (VR) Experiences
• History of Virtual Reality
• The Fluid Realities of the Future
• The Ultimate Selfie: Musings on the Future of Our Human Identity
• Unpacking the Future

James F. O'Brien – Berkeley, CA

• Adaptive Simulation with Triangle Meshes
• Image and Video Forensics through Content Analysis

Jon G Peddie – Tiburon, CA

• Augmented Reality, where we all will live
• Computer graphics ? how and why we got here
• Exploiting Machine Learning in Gaming
• Future computing
• Learning Deeply
• Mixed (up?) reality
• Real Time Experiences
• Visual Computing

Vishnu S Pendyala – San Jose, CA

• Approaches to Establishing the Veracity of Big Data
• Machine Learning for Veracity of Big Data
• Mining for Medical Expertise
• Software Development in Large Organizations
• Statistical Modeling for Detecting Cognitive Hacking on Microblog Websites

Seth Shostak – Mountain View, CA

• The Big News of the 21st Century
• The Challenges of Artificial Intelligence  Boundless Benefits  or the Threat of Runaway Machine Sentience?
• When Will We Find Extraterrestrial Life?

David G. Stork – Sunnyvale, CA

• Computational imaging: Using computing for optics and optics for computing
• Computer vision in the study of art: New rigorous approaches to the study of paintings and drawings

Bebo White – San Francisco, CA

• Cryptocurrencies and Blockchain (fiction, fallacy, fact, fun, and future)
• Preparing for the Internet of Things
• Storages Are Not Forever
• The Future of User Interaction Design
• The Web: A Nostalgic View of the Past and Informed Hopes for the Future

Colorado

Qi Han – Golden, CO

• A Wireless Sensor Network Based Closed-loop System for Subsurface Contaminant Monitoring
• Adaptive Voice Streaming over Low-power Wireless Networks
• Detection and Tracking of Dynamic Amorphous Events in Wireless Sensor Networks
• Dynamic Group Monitoring in Proximity-based Mobile Social Networks
• Mobile Visual Crowdsensing
• Pervasive Computing Systems Research: An Application-driven Approach
• Role of Mobile and Ubiquitous Computing in Emergency Response
• Taming the Uncertainty in Supporting Distributed Sensor Applications

Venkat Subramaniam – Broomfield, CO

• Functional Programming
• Java 8 Lambda Expressions, the Pathway to Functional Style
• Let's Get Lazy: Explore the Real Power of Streams
• Reactive Programming
• The Power and Perils of Parallel Streams
• Twelve Ways to Make Code Suck Less

Susan M Zvacek – Castle Rock, CO

• Digital Natives and Other Mythical Beasts

Connecticut

Syed Ahmad Chan Bukhari – CT

• Experimental Reproducibility, Standardization and FAIR Scientific Data

D.C.

Li Chen – Washington, DC

• Data Science: Recent Developments and Future Trends
• Digital Geometry and its Applications: Geometrical and Topological Data Processing

Robert James Fine – Washington, DC

• An Introduction to Virtual Reality and Healthcare
• The Next Cyber Warfare Wave: AR and VR Worlds

Florida

Swarup Bhunia – Gainesville, FL

• Computing in Memory for Data-Intensive Applications
• FPGA Security: New Frontiers
• Security of the Internet of Things: Are We Paranoid Enough?

Oge Marques – Boca Raton, FL

• Can you trust what you see? The magic of visual perception
• Image Processing and Computer Vision in iOS
• Leadership and Communication Skills for Engineers and Computer Scientists
• Machine learning and its applications
• Medical image analysis using deep learning
• Practical Image Processing and Computer Vision Using MATLAB
• Using games to solve challenging multimedia problems
• Visual information retrieval: advances, challenges and opportunities

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

Syed Hassan Ahmed – Statesboro, GA

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

Idaho

Perry Victor Lea – Boise, ID

• 5G Communication for IoT
• Computer Architecture Flops and Failures
• Fog Computing and the 20% Rule
• In Memory Intelligence  The Legacy of von-Neumann

Illinois

Deming Chen – Urbana, IL

• Cognitive Computing on Heterogeneous Hardware Systems for the AI Revolution
• Design, Compilation, and Acceleration for Deep Neural Networks in IoT Applications
• FPGA-based Smart Devices and Platforms for the AI Revolution
• Overcoming Challenges of Accelerating Deep Neural Network Computations

Indiana

Juan Pablo Wachs – West Lafayette, IN

• Gist of a Gest: Can Machines Recognize ?Almost? Spontaneous Gestures?
• TEDx: Wisdom in our Hands ? What gestures tell about our intentions?
• Teleproctoring with Mixed Reality: A Comparative Evaluation in the Context of Lower-Limb Fasciotomies
• Towards Lifelong Learning Machines (L2L): How can zero shot learning lead to L2L ?
• Wisdom in our Hands ? The Laban Transform for the Generation of Constrained Gesture Lexicons

Massachusetts

Uri Kartoun – Cambridge, MA

• Advancing Informatics with Electronic Medical Records Bots
• How to Develop Prediction Models Using Electronic Medical Records
• How to Develop a Disease Classification Algorithm Using Electronic Medical Records
• Why and How to Invent in the Era of Software

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

Josiah Dykstra – Severn, MD

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

Jennifer Golbeck – College Park, MD

• Foretold Futures from Digital Footprints: Artificial Intelligence, Behavior Prediction, and Privacy
• The Human Side of Cyber Security

Lauren Maffeo – Bethesda, MD

• Erase Unconscious Bias From Your AI Datasets

Hanan Samet – College Park, MD

• Duking it out at the Smartphone Mobile App Mapping API Corral:Apple, Google, and the Competition
• Issues in Spatial Databases and Geographic Information Systems (GIS)
• Reading News with Maps by Exploiting Spatial Synonyms
• Scalable Network Distance Browsing in Spatial Databases*
• Sorting in Space
• Translation Validation: Automatically Proving the Correctness of Translations Involving Optimized Code

Theo Schlossnagle – Fulton, MD

• Adaptive Availability for Quality of Service
• Monitoring: The Math Behind Bad Behavior
• Production Debugging Techniques

Ellen M Voorhees – Gaithersburg, MD

• Information Retrieval Challenge Problems
• Measuring Search Effectiveness
• The Text REtrieval Conference

Michigan

Todd Michael Austin – Ann Arbor, MI

• Establishing Hardware Trust: Challenges, Opportunities and (Im)possibilities
• On the Rules of Low-Power Design (and Why You Should Break Them)
• Peering into the Post Moore's Law World

Missouri

Chenyang Lu – Clayton, MO

• Dependable Internet of Things
• Real-Time Cloud Computing
• Real-Time Internet of Things

Sanjay Kumar Madria – Rolla, MO

• M-Grid: A Scalable Distributed Framework for Multidimensional Indexing and Querying Spatial Data
• Multi-model Z-Compression for High Speed Data Streaming and Low-Power Wireless Sensor Networks
• Opportunistic Distributed Caching for Mission-oriented Delay-tolerant Networks
• Reputation and Credit based Incentive Mechanism For Data-centric Message Delivery in Delay-tolerant Networks

N. Carolina

Hai Li – Durham, NC

• Neuromorphic Computing and Deep Learning - Technology, Hardware and Implementation

Shan Suthaharan – Greensboro, NC

• Differentially Private Logistic Regression and its characterization for big data privacy
• Perceptually inspired deep learning: a low-dimensional visual understanding of deep learning's learning strategy
• Software engineering schema for data science and big data

N. Dakota

Samee U Khan – Fargo, ND

• Big Data Recommendation Systems
• Data Center Networks: Trends, Opportunities, and Challenges
• Universal Design in Learning

New Hampshire

Andrzej Rucinski – Strafford, NH

• OPPORTUNITY OF INTERNET OF THINGS SEMINAR

New York

Lora Aroyo – New York City, NY

• Data Science for Smart Culture: Harnessing Human Semantics at Scale
• Dial "E" for Events
• Disrupting the Semantic Comfort Zone
• StorySourcing: Telling Stories with Humans & Machines
• To be AND not to be: quantum intelligence?
• Truth is Lie: Rules & Semantics from a Crowd Perspectives
• Truth is a Lie

Salman A Baset – New York, NY

• Blockchain and GDPR
• Container Security
• Hyperledger Fabric

Charlie Fink – New York, NY

• Why AR Is White Hot, and VR is not. Yet. - Web, Mobile and Multimedia Technologies
• How Augmented Reality Is Transforming Big Business Today
• Mankind's Augmented Future
• The Metaverse is Here, But VR Needs Its AOL Moment

Michael Gschwind – Yorktown Heights, NY

• Accelerating Deep Learning
• Technology Futures - The IBM Technology Forecast
• The Evolution of Artificial Intelligence
• Unchaining Large-Scale Datacenter Computing: Reengineering a Server Ecosystem

Panos Ipeirotis – New York, NY

• Detecting Misconduct and Malfeasance within Financial Institutions
• Targeted Crowdsourcing with a Billion (Potential) Users

Jeanna N Matthews – Potsdam, NY

• Algorithmic Accountability and Transparency and Other Alternatives to Digital Destiny
• Becoming a researcher: practical strategies for taming the angst and changing the world
• Big Data? Big Promise, Big Problems
• Rapid Recovery Architecture and Virtual Machine Contracts

Beverly May – Brooklyn, NY

• Analytics for UX and CX: Key KPIs and Goals
• Planning the Autonomous Future: Envisioning the Customer Experience of Autonomous Vehicles, 5-20 Years Out
• Quantifying Exceptional Design: A 5-Year Retrospective Analysis from the UX Awards
• The Future of Product Design: Design Beyond the Screen

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

Ohio

Ping Zhang – Columbus, OH

• Predictive Modeling of Drug Effects: Learning from Biomedical Knowledge and Clinical Records

Oregon

Margaret Burnett – Corvallis, OR

• Gender-Inclusive Software

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

James D Herbsleb – Pittsburgh, PA

• Coordination in Open Collaboration Communities
• On the Diminishing Prospects for an Engineering Discipline of Requirements
• Socio-technical Coordination

Dongwon Lee – State College, PA

• Human Computation in Data Science
• LIKEs-R-Us: Analyzing LIKEs in Social Media

Jian Ma – Pittsburgh, PA

• Machine learning algorithms for studying genome structure and function

Sundar Vedantham – Allentown, PA

• Ethics and Emerging Technology
• Here Comes 5G: A 5 window approach to understanding the technology & its Societal/Business Implications

Tennessee

Dipankar Dasgupta – Memphis, TN

• Adaptive Multi-Factor Authentication (A-MFA) Methodology
• Cloud Services: Security, Compliance and an Insurance model
• Coordination in Open Collaboration Communities
• Online Social Networks and Privacy issues
• Puzzle-based learning in Cyber Security Education
• Where the Immunological Computation Research is heading?

Donald Gotterbarn – Johnson City, TN

• Computer Ethics and Technology
• Software Development: More Than Just Programming
• Unmanaged Risk: Why Systems Don't Work

Jibonananda Sanyal – Oak Ridge, TN

• Accelerated Global Human Settlement Discovery
• Data and Sensemaking
• Deriving insight at the intersection of the Energy-Water Nexus
• Ensemble-Aware Uncertainty Visualization
• Location driven computing for real-time situational awareness and humanitarian response
• Multiscale Coupled Urban Systems

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

Chuck Easttom – Plano, TX

• Applying Graph Theory to Digital Forensics
• Cryptographic Backdoors
• Exploring nonlinear dynamics and emergence
• Quantum Computing and Lattice Based Cryptography
• S-Box Design
• Steganography
• The role of machine learning in cybersecurity

Heena Rathore – Austin, TX

• Deep Learning Based Security Solutions for the Internet of Medical Things
• Improving Security in the Internet of Things(IoT) through Bio-Inspired Approaches
• Is Future of Safety in Autonomous Vehicles Blockchain or IOTA?
• Strategies for Making Cyber-Physical Systems Secure

Kang Zhang – Richardson, TX

• Aesthetic Computing and Computational Aesthetics
• Automatic Generation of Abstract Art
• Spatial Specification and Reasoning Using Grammars: From Theory to Application
• Visual Programming Languages, Theory and Applications

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

Ganesh Lalitha Gopalakrishnan – Salt Lake City, UT

• Automata and Computability using Jupyter and Formal Methods
• Can Formal Methods (alone) Rescue HPC Debugging?
• Keeping Science on Keel when Software Moves
• System Resilience: Amplify Failures, Detect, or Both?

Virginia

John Kaufhold – Arlington, VA

• Deep Learning Past, Present and Near Future

Washington

Andrew Glassner – Seattle, WA

• A Citizen's Crash Course in Artificial Intelligence
• A Crash Course in Deep Learning for Techologists
• How AI Will Transform Our Culture and Society

David J Kasik – Sammamish, WA

• Lessons Learned: Technology Transition
• Massive Model Visualization Basics
• Visualization at Scale

Abhishek Roy – San Francisco

• 3GPP Machine Type Communications (MTC)  An Overview
• An in-depth Study on Smart Grids with special significance on South Korea
• D2D Communications: Technology and Prospect
• DISASTER DETECTION AND RECOVERY
• Demand Response in Smart Grid
• Greening of Mobile Networks  Myths and Opportunities
• Mobile Wi-MAX for Broadband Wireless Internet
• Modulation and Coding
• Next Generation 5G Wireless Networks
• Opportunities and Challenges in Machine-to-Machine Communications
• Regulatory Issues in M2M Communications
• Resource Allocation in Cellular Network and HetNets
• Traffic-Driven Power Saving in Operational 3G Cellular Networks
• Tutorial on OMNeT++ (Part-1)
• Tutorial on OMNeT++ (Part-2)
• VISION OF IoT IN KOREA