Amr M. Abdelhady, Abdulkadir Celik, Carles Diaz-Vilor, Hamid Jafarkhani, Ahmed M. Eltawil: Laser-Empowered UAVs for Aerial Data Aggregation in Passive IoT Networks. IEEE Open J. Commun. Soc. 5: 1609-1623, March, 2024 Riku Funada, María Santos, Ryuichi Maniwa, Junya...
2024
Ahamed Al Nahian, Brian Demsky: FlowProf: Profiling Multi-threaded Programs using Information-Flow. CC 2024: 137-149, March 2-3, 2024, Edinburgh, United Kingdom Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen: SlowTrack: Increasing the Latency of Camera-Based...
Agile Hardware Specialization
DATE/TIME: Wednesday, May 1st, 11:00am
SPEAKER: Prof. Yun Eric Liang, Peking University
As Moore’s law is approaching to the end, designing specialized hardware accelerator along with the software that map the applications onto the specialized hardware is a promising solution. However, the hardware is very difficult to design and optimize due to the low-level programming and huge design space.
Towards Self-Sustainable Wearable IoT Devices for Reliable Mobile Health Applications
DATE/TIME: Thursday, April 25th, 10:00am
SPEAKER: Prof. Ganapati Bhat, Washington State University
Wearable internet of things (IoT) devices are the next big evolution in computing systems. Wearable sensors and IoT devices, along with smart home technologies, have the potential to transform healthcare by enabling cost-effective, reliable, continuous, and data-driven monitoring of users in a free-living environment. Despite the impressive potential of wearable technology, widespread adoption of wearable devices has been limited due to several technology and adaptation challenges.
Hardware for ML and ML for Hardware
DATE/TIME: Monday, April 1st, 11:00am
SPEAKER: Prof. Aman Arora, Arizona State University
This talk delves into the exciting intersection of hardware design and machine learning, showcasing how these fields are mutually benefiting each other. The presentation will feature cutting-edge research projects that exemplify this dynamic.
Danny Abraham Fayzah Alshammari Walaa Amer Hamidreza Alikhani Mitra Behzadi Rajat Bhattacharjya Rui Cao Yuheng Cao Joann Chen Luke Chen Ping-Xiang Chen Ali Derakhshan Mohammad Fakih Wael Fatnassi Vivek Govindasamy Yonatan Gizachew Simon Guo Ali Heydari Quang Anh Hoang...
Self-Awareness in Cyber-Physical Systems 2024
DATE: February 22-23, 2024
LOCATION: San Diego State University (SDSU)
Inspired by biological examples, self-awareness has become a hot research topic in a variety of disciplines and its applicability has been explored in various application domains. The main purpose of this workshop is to strengthen and extend the community and to try to develop a shared and communal understanding of the main concepts underlying self-awareness with respect to CPS.
Magnus Egerstedt
Magnus Egerstedt is the Dean of Engineering and professor in Electrical Engineering and Computer Science, Mechanical and Aerospace Engineering at University of California, Irvine. His research involves control theory and robotics, control and coordination of complex networks, multirobot systems, mobile sensor networks and cyber-physical systems.
eNews: Volume 24, Issue 1 – Summer/Fall Issue 24
Highlights Legacy of Gajski-Kuhn Y-Chart MECPS Symposium 2023 Al Faruque Awarded 378K for AV Project Jun’s Paper Appears on Edition of ISCA’23 Shoukry’s UAM Awarded 2M Dang Won Excellence in Digital Learning Imani Received Young Inv. Award Seminar Publications eNews...
Searching for Digital Evidence in Industrial Control Systems
Title: Searching for Digital Evidence in Industrial Control Systems Speaker: Prof. Irfan Ahmed Date and Time: Tuesday, February 20th, 10:30am Location: EH 2430 Abstract: Industrial control systems (ICS) control significant portions of the U.S. critical infrastructure...