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Architecture, Embedded Systems and Electronics, Robotics

Architecture, Embedded Systems and Electronics, Robotics

Available Speakers and their Lectures 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...

David Atienza – Lausanne, Switzerland

Designing Accelerator-Centric Edge Architectures with Open-Source Platforms
Edge computing is targeting multiple domains nowadays, and a new set of complementary approaches have emerged as main avenues for designing novel accelerator-centric architectures for edge...

Ahmedullah Aziz – Knoxville, TN, United States

AI for Better Hardware & Hardware for Better AI
For years, the rapid ascent of AI has captivated the world, but behind every groundbreaking algorithm lies an unsung hero: hardware. While software and algorithms have stolen the spotlight, the...
Computing at the Ultra-Cold: Exploring the Frontiers of Cryogenic Electronics
Cryogenic (Cryo) logic and memory technologies have been rapidly garnering interest in recent years due to their immense prospect as potential enablers for multiple exciting technology platforms,...
Transforming Nanoelectronics with Threshold Switching Volatile Memristors
Relentless miniaturization of transistors, driven by Moore's Law, has long propelled electronics' evolution towards atomic scales. With each new technology generation, we draw nearer to...

Erik Brunvand – UT, United States

Computational Thinking Meets Design Thinking: Technology and Arts Collaborations
There seems to be an explosion of interest in exploring arts and technology connections: new media, digital media, kinetic art, new frontiers, emergent media, interdisciplinary,...

Samarjit Chakraborty – Chapel Hill, NC, United States

Resource-Aware Cyber-Physical Systems Design
The heart of the software in many embedded systems contain one or more control algorithms. For example, a modern car contains several hundreds of millions of lines of software code...

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

Fault-Tolerant Regularity-Based Real-Time Virtual Resources
Many safety-critical applications employ embedded real-time systems where both timing and fault tolerance requirements must be continually satisfied. The Regularity-based Resource Partition...
Implementing Next-Generation Embedded Systems with Functional Reactive Programming and Real-Time Virtual Resources
The use of sophisticated digital systems to control complex physical components in real-time has grown at a rapid pace. These applications range from traditional stand-alone systems to...
Multi-Mode Task Scheduling for Preemptive Functional Reactive Programming
Functional Reactive Programming (FRP) provides an elegant way to express computation in domains such as interactive animations, robotics, computer vision, user interfaces, and simulation....
Practical Real-Time Virtual Resources: Transparent Task Scheduling on Evenly Distributed Temporal Resource Partitions
Real-time resource partitioning (RP) divides hardware resources (processors, cores, and other components) into temporal partitions and allocates these partitions as virtual resources...
Real-Time Virtual Resources: Static Approximation Algorithms for Regularity-based Resource Partitioning
Real-time resource partitioning (RP) divides hardware resources (processors, cores, and other components) into temporal partitions and allocates these partitions as virtual resources...

Betty H.C. Cheng – East Lansing, MI, United States

Applying Model-Driven Requirements Engineering to Manage Uncertainty for High-Assurance Self-Adaptive Systems: Lessons Learned and Research Challenges
This presentation will overview several research projects that explore how model-driven requirements engineering can been used to model, analyze, and mitigate uncertainty arising in three...
Be careful what you wish for...When should we trust AI?
Trustworthy artificial intelligence (Trusted AI) is essential when autonomous, safety-critical systems use learning-enabled components (LECs) in uncertain environments. When reliant on deep...
Search-Based Software Engineering for Learning-Enabled Self-Adaptive Systems
Trustworthy artificial intelligence (Trusted AI) is essential when autonomous, safety-critical systems use learning-enabled components (LECs) in uncertain environments. When reliant on deep...
Software Engineering for Learning-Enabled Self-Adaptive Systems
Trustworthy artificial intelligence (Trusted AI) is essential when autonomous, safety-critical systems use learning-enabled components (LECs) in uncertain environments. When reliant on deep...

Rolf Drechsler – Bremen, Germany

Polynomial Formal Verification: Ensuring Correctness under Resource Constraints
Recently, a lot of effort has been put into developing formal verification approaches by both academic and industrial research. In practice, these techniques often...

Domenic Forte – Gainesivlle, FL, United States

Building Resilience: The Power of Cyber-Informed Engineering in a Digital Age
As our world becomes increasingly interconnected, the intersection of engineering and cybersecurity has emerged as a critical frontier. In...

Swaroop Ghosh – State College, PA, United States

Demystifying Sensing Techniques for Non-Volatile Memories
Research, development and commercialization of emerging Non-Volatile Memories (NVMs) are being aggressively pursued by the design community to supplement and/or substitute the conventional...
Making Noisy Intermediate Scale Quantum (NISQ) Computing Useful

The concerted effort by industry/academia has produced commercial quantum computers and algorithms that offer speed-up over classical counterparts (at least in principle). The basic...
Test Challenges and Solutions for Resilient Non-Volatile Memory Design
At the end of Silicon roadmap, several emerging non-volatile memory (NVM) technologies have surfaced. Due to plentitude of features such as, non-volatility, capability to create new...

David Howard – Brisbane, QLD, Australia

Autonomous Soft Robot Design
The emerging field of soft robotics presents a new paradigm for robot design in which “precision through rigidity” is replaced by “cognition through compliance.”...
Embodied Intelligence and Morphological Computing in Robotics
Embodied intelligence is a vital and relevant philosophy that explains the emergence of natural intelligence, as aptly demonstrated by the rich array of flora and fauna in our world. In this...
Robotic Simulation, Modelling, and the Reality Gap
The use of simulators in robotics research is widespread, underpinning the majority of recent advances in the field. There are now more options available to researchers than ever before,...

Eren Kurshan – New York, NY, United States

Making or Breaking AI: Grand Challenges, Opportunities and What We Might be Missing
Artificial Intelligence solutions face 3 Grand Challenges: (1) The Energy Challenge: An unprecedented growth in the training energy consumption is on the path to becoming ‘the...

Sudeep Pasricha – Fort Collins, CO, United States

Energy Challenges with Computing: from Internet-of-Things to Datacenters
Within the next decade it is expected that the energy requirements of digital services will outstrip the world’s entire current electricity generation capacity. To a large extent, this...
Machine Learning for Smart Indoor Navigation
The advent of the Global Positioning System (GPS) transformed the global transportation industry and allowed vehicles to not only localize themselves but also to navigate reliably and in a secure...
Robust and Secure Design for Connected and Autonomous Vehicles
Modern vehicles are examples of complex cyber-physical systems with tens to hundreds of interconnected Electronic Control Units (ECUs) that manage various vehicular subsystems. The aggressive...

Yiyu Shi – Notre Dame, IN, United States

Hardware/Software Co-Design Towards TinyML
In the past a few years, powered by the strong need of edge intelligence, there has been an increasing interest in deploying deep neural networks on tiny hardware with limited computing power and...

Yan Solihin – Orlando, FL, United States

Cache Coherence in Multicore and Multiprocessor Systems
In this talk, I will discuss cache coherence problem in multiprocessor and multicore systems, starting from why software needs it, what happens when it is not provided in the system, principles...
High-Performance Architecture Techniques for Persistent Memory
Persistent memory is being integrated into the main memory of various computer systems, due to its low cost, scaling potential, and non-volatility. I will discuss how persistency programming can...
High-Performance Software Techniques for Persistent Memory
Persistent memory is being integrated into the main memory of various computer systems, due to its low cost, scaling potential, and non-volatility. I will present the benefit of making data...
Memory Consistency Models: from Theory to Practice
In this talk, I will discuss memory consistency problem in multiprocessor and multicore systems, starting from why software needs it, what happens when it is not provided in the system, principles...
Parallel Programming with Linked Data Structures
Linked data structures (LDS) such as linked lists, trees, graphs, and hash tables, are used heavily in programs. They utilize pointers and rely on pointer chasing to traverse the data structures....
Persistent Memory: How Abstractions Impact Performance
Byte-addressable non-volatile memory technology is emerging as an alternative for DRAM for main memory. This new Non-Volatile Main Memory (NVMM) allows programmers to store data persistently in...

Per Stenstrom – Gothenburg, Sweden

Compression in the memory hierarchy
The compute landscape is moving towards being data centric rather than compute centric as in the past. It is well known that cache and memory capacity has a significant impact on...
Databound computer architectures
There are two trends that will have a significant impact on how to sustain an exponential computational performance growth at a reduced power consumption in the future. One trend is that...
Memory consistency models
The compute landscape is moving towards being data centric rather than compute centric as in the past. This puts lots of pressure on the memory system in modern computers and optimizations...
Memory hierarchies in modern processors
The compute landscape is moving towards being data centric rather than compute centric as in the past. This puts lots of pressure on the memory system in modern computers. This lecture...
Microarchitectures of modern processors
Exploiting parallelism at all levels of the compute stack is a prerequisite for delivering high compute performance. This ranges from instruction-level parallelism (ILP) to program or...

Bidyadhar Subudhi – Ponda Goa, India

Machine Learning Approach to Control an Autonomous
Research on Autonomous Underwater Vehicle (AUV) has attracted increased attention of control and robotics engineering community in the recent years due to its many interesting applications...
Reinforcement Leaning Adaptive Control of a Flexible Manipulator
Manipulators with thin and light weight arms or links are called as Flexible-Link Manipulators (FLMs). These manipulators offer several advantages over their rigid-link counter parts including...

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...