All Content - (S)

First Letter

(1) | A (38) | B (10) | C (7) | D (18) | E (8) | F (12) | G (4) | H (15) | I (4) | J (3) | K (9) | L (3) | M (19) | N (9) | O (8) | P (23) | R (19) | S (23) | T (10) | U (3) | W (1) | X (4) | Y (10) | Z (3)

	Apr 1, 22:00 - 22:45, Safe autonomy with imperfect information (KAUST), Necmiye Ozay, Associate Professor, University of Michigan	Conference, invariance, RobotoKAUST, safe autonomy, verification
	Mar 31, 18:15 - 19:00, Safe learning and control with L1 adaptation (KAUST), Naira Hovakimyan, Professor, Mechanical Science and Engineering, University of Illinois	Conference, RobotoKAUST
	Apr 1, 21:15 - 22:15, Safe, Interaction-Aware Decision Making and Control for Robot Autonomy (KAUST), Marco Pavone, Associate Professor, Aeronautics and Astronautics, Stanford University	autonomous driving, Conference, decision making, human-robot interactions, RobotoKAUST
	Saleh AlJazzar, Visiting Scholar (former), King Abdullah University of Science and Technology	machine learning, Signal processing, Wireless Communications
	Mar 1, 17:00 - 19:00, Salman Ghori: Onboard Software Based on High Reliability Coding Standards for AstroBio 3U CUBESAT (ABCS) Mission (KAUST Library), Salman Sarfaraz Ghori, Ph.D. Student, Electrical and Computer Engineering	Conference
	Sami Aldalahmeh, Consultant, King Abdullah University of Science and Technology
	Sara Helal, Visiting Scholar, King Abdullah University of Science and Technology
	Saud Alabdulal, M.S. Student, Electrical and Computer Engineering	LiDAR, optical computing
	May 8, 15:30 - 16:00, Scaling up reef ecosystem monitoring using underwater robots (B18 Fellowship Hall), Dr. Yogesh Girdhar, Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution	animal tracking, Conference, machine learning, substrate characterization
	May 9, 09:30 - 10:00, Semi-autonomous systems enable advances in Earth Observation (B18 Fellowship Hall), Matthew McCabe, Professor, Environmental Science and Engineering	Agricultural Automation, Conference, Field Robots, Mapping, Object detection, segmentation, Sensor Fusion
	Shamael Al-Shuhail, M.S. (former), Electrical and Computer Engineering	Compressed Sensing Approach, Multi-carrier Systems
	Shinkyu Park, Assistant Professor, Electrical and Computer Engineering	intelligent systems, robotics
	Shrey Rakesh Maheshwary, Visiting Student, King Abdullah University of Science and Technology
	Shunyuan Shang, M.S. Student, Electrical and Computer Engineering
	Simon Tarboush, Member, King Abdullah University of Science and Technology
	May 10, 14:30 - 15:00, Situational Awareness System for Autonomous Surface Vehicles (B18 Fellowship Hall), Dr. Hyun Taek Choi, Advanced intelligent Ship Research Division, Korea Research Institute of Ships and Ocean Engineering	Autonomous Surface Vehicle, Conference, Deep-learning based detection, Multi-object Tracking, Sensor Fusion, Situational Awareness System
	Sixiu Liu, Ph.D. (former), Earth Science and Engineering	deep learning, seismic processing
	May 9, 15:45 - 16:15, Smart Agricultural Robotics for Monitoring Coral Reefs and Plants: A vertical farming perspective (B18 Fellowship Hall), Prof. Rafiq Ahmad, Department of Mechanical Engineering, University of Alberta	Agricultural Automation, Computer Vision for Automation, Conference, Field Robots, Industrial Robots, Robotics in Agriculture and Forestry
	May 10, 08:00 - 12:00, Snorkeling & Diving Trip [by invitation only] (TBD)	Conference
	Mar 1, 17:00 - 19:00, Sohailh Marie: Underwater turbulence on scintillating-fiber based omnidirectional underwater wireless optical communication system (KAUST Library), Sohailh Marie, SRSI, CEMSE, KAUST, KSA	Conference
	Sultan Al Sulami, Visiting Scholar, King Abdullah University of Science and Technology
	Apr 1, 14:00 - 14:45, Swarms for People (KAUST), Sabine Hauert, Associate Professor, Bristol Robotics Laboratory, University of Bristol	Conference, RobotoKAUST
	Syed Abidullah Fareed, Visiting Student (former), Information Science Lab	artificial intelligence, computer networks, embedded systems, energy efficiency, intrusion detection, IoT, machine learning