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
Syed Hassan Ahmed – Irvine, CA
- Integrating Named Data Networking in Connected Vehicles
- Named Data Networking in Connected and Smart Cities
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
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
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
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
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
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
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
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
Susan M Zvacek – Castle Rock, CO
Connecticut
Syed Ahmad Chan Bukhari – CT
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
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
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
Daniel Takabi – ATLANTA, GA
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
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
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
Emery D Berger – Amherst, MA
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
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
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
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
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
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
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
Panos Ipeirotis – New York, NY
- Detecting Misconduct and Malfeasance within Financial Institutions
- Targeted Crowdsourcing with a Billion (Potential) Users
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
Ohio
Ping Zhang – Columbus, OH
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
Dongwon Lee – State College, PA
- Combating False Information
- Human Computation in Data Science
- LIKEs-R-Us: Analyzing LIKEs in Social Media
Jian Ma – Pittsburgh, PA
Sundar Vedantham – Allentown, PA
- Ethics and Emerging Technology
- Here Comes 5G: A 5 window approach to understanding the technology & its Societal/Business Implications
- Thought Experiments: An Inexpensive Tour of the Entire Universe
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)
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
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?
Washington
David J Kasik – Sammamish, WA
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