Available DVP Speakers in US and Canada
IEEE Regions 1-7 chapters interested in the speakers below should refer to the general guidelines for the DVP.

Bruce McMillin

 

 

Bruce McMillin (2018-2020)
Cyber-Physical Security through Information Flow
Secure Fog Computing for Smart Living
Why should I go to graduate school, and how do I do it?

 

 

 

Tarek El Ghazawi

 

 

Tarek El Ghazawi (2018-2020)
Rebooting Computing—The Search for Post-Moore’s Law Breakthroughs
Exascale and the Convergence of HPC, Big Data, AI and IoT
Exploiting Hierarchical Locality for Productive Extreme Computing

 

 

 

Anand Tripathi

 

 

Anand Tripathi (2019-2021)
Scalable Consensus Protocols and System Architectures for Blockchain Services
Beehive: A Parallel Programming Framework for Graph Problems
Scalable Transaction Management in Key-Value Based Distributed Data Stores

 

 

 

Anne C. Elster

 

 

Anne C. Elster (2019-2021)
Parallel Computing and AI: Impact and Opportunities
AI for HPC: Experiences and Opportunities
Optimizing for Energy Efficiency and Performance: From Embedded Systems to Supercomputers

 

 

 

Bernard P. Zeigler

 

 

Bernard P. Zeigler (2019-2021)
MBSE with/out Simulation: State of the Art and Way Forward
Why Should We Develop Simulation Models in Pairs?
How Abstraction, Formalization and Implementation Drive the Future of Modeling and Simulation

 

 

 

Shaoshan Liu

 

Shaoshan Liu (2019-2021)
Edge Computing for Autonomous Driving: Opportunities and Challenges
DragonFly+: An FPGA-based quad-camera visual SLAM system for autonomous vehicles
Enabling Computer-vision-based Autonomous Driving with Affordable and Reliable sensors
π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-Observation Optimization
Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures

 

 

Shaoshan Liu

 

 

Sherali Zeadally (2019-2021)
Cybersecurity Challenges and Future Research Opportunities
Privacy in Cyberspace

 

 

 

 

 

Dejan Milojicic (2020-2022)

Generalize or Die: System Software for Memristor-based Accelerators for Deep Learning
Memory-Driven Computing

 

 

 

Chuck Easttom

 

 

Chuck Easttom (2020-2022)

The impact of Emergence, Nonlinear Dynamics, and Chaos theory on engineering
Current Status of Quantum Computing

 

 

 

 

David Alan Grier circle image

 

 

David Alan Grier (2020-2022)

The Generations of Computing and the Coming Data Age

Anarchist with a Pintrest Account (also entitled “The Digital YMCA”)

Human Computers, Crowdworkers, and the ever presence of the gig economy

 

 

 

 

 

Swarup Bhunia (2020-2022)

Security of the Internet of Things: Are We Paranoid Enough?
Innovations in IoT for a Safe, Secure, and Sustainable Future
Computing in Memory for Data-Intensive Kernels

 

 

 

 

Nancy Mead

 

Nancy Mead (2020-2022)

Threat Modeling Research and Machine Learning

Using Malware Analysis to Identify Overlooked Security Requirements (MORE)

Lessons Learned from an Industry/Government/Academic Collaboration in Educating Secure Software Developers

 

 

 

 

Dr. P.A. Subrahmanyam

 

 

P.A. Subrahmanyam (2020-2022)

Decentralized (Self-Sovereign) Identities & the Trillion Dollar market: Why the Buzz?
Private vs. Public Blockchains: Myths vs. Reality.
The need for a Quantitative Approach to Blockchain Infrastructure & Application design.
Machine Learning & Analytics: Applications in FinTech & Security