Architecture, Embedded Systems and Electronics, Robotics

Available Speakers on this Topic

Rizwan Ahmed – Nagpur, India

  • IoT in Healthcare
    This talk will cover various technical aspects related to Artificial Intelligence for scaling Cyber Security. This talk will cover following specific...

Todd Michael Austin – Ann Arbor, MI, United States

Erik Brunvand – UT, United States

Amlan Chakrabarti – Kolkata, India

Albert M. K. Cheng – Houston, TX, United States

Tassos Dimitriou – Athens, Greece

Falko Dressler – Paderborn, Germany

Arvind Easwaran – Singapore, Singapore

Sebastian Fischmeister – Waterloo, Ontario, Canada

  • A Safety-critical Embedded Systems Primer

    Embedded systems integrate physical and logical processes as they execute algorithms and interact with the environment through actuators and sensors.  Embedded systems are omnipresent,...

  • From Automated to Autonomous Driving
    Fully autonomous driving for vehicles on public roads is technology that can fundamentally transform our society.  The numerous benefits are what inspires industry, researchers, the public,...

Swaroop Ghosh – State College, PA, United States

Anis Koubaa – Riyadh, Saudi Arabia

Shaoshan Liu – Fremont, CA, United States

Chenyang Lu – Clayton, MO, United States

  • Dependable Internet of Things
    IoT-driven control underpins many IoT applications in industries and smart cities.  In contrast to best-effort IoT often found in consumer markets, there remain daunting challenges to...
  • Real-Time Internet of Things
    Recent years have witnessed increasing demand for real-time cloud services to support Internet of Things and other time-critical applications.  However, existing virtualization and cloud...

Jon G Peddie – Tiburon, CA, United States

  • Exploiting Machine Learning in Gaming
    If you want to exploit ML, this session will give ideas on how to use the next wave of technology.
    We will discuss ideas for enhancement and differentiation of gaming...
  • Learning Deeply
    Can an AI make a movie?
    The first step was training it on trailers of 100 horror movies. Each trailer was segmented into...
  • Mixed (up?) reality
    The realities of virtual reality. Who is (was) using it, who will use it, and why.

    This was followed by a panel discussion.
  • Visual Computing
    We want/need very high-resolution, fast, color accurate cameras in stationary locations (transportation and shopping centers, sports arenas, etc.) and mobile (on first-responders and law...

Dhananjay Singh – Seoul, Republic of Korea

Yan Solihin – Orlando, FL, United States

Leonel Sousa – INESC-ID, Rua Alves Redol, 9, Portugal

  • GHEVC: GPU-based HEVC decoder
    For High-Efficiency Video Coding (HEVC) decoders, a significant increase of the computational load is a limiting factor to accomplish real-time, especially for high definition video sequences...

Bidyadhar Subudhi – Ponda Goa, India

Shriram K Vasudevan – Coimbatore, India

Juan Pablo Wachs – West Lafayette, IN, United States

Mohamed Zahran – New York, NY, United States

  • AI Support for Architecture
    There are a handful of chips to support machine learning (ML) training and many startups that design chips for inference. All of this is the hardware support for AI. In this talk, we will...