Boxiao Yu is a Ph.D. student at the dept of ECE, University of Florida. She obtained her M.Sc. degree from ECE-UF and B.Sc. degree from the Beijing Jiaotong University (BJTU), specializing in AI and Automation. Boxiao's research interests are primarily on robot vision and deep learning. She is one of the inception member of the RoboPI lab; her current research focuses on monocular depth estimation, underwater imaging, and image enhancement. She is also involved in several projects that deal with 3D scene understanding and mapping for remote monitoring (by AIoT-based sensor nodes) and inspection (by autonomous mobile robots).
Adnan Abdullah is a Ph.D. student at the dept of ECE, University of Florida. He completed his Bachelor of Science (BSc) from Bangladesh University of Engineering and Technology with a major in Electrical and Electronic Engineering. His research interest, primarily in the field of embedded deep learning and on-device vision. He is currently working on audio-visual signal understanding and secure communication of mobile robots in adverse sensing conditions.
Jiayi Wu is a M.Sc. (Thesis) student at the dept of ECE, University of Florida. He is one of the inception members of the RoboPI lab; his research focus is on low-cost 3D reconstruction and depth estimation in scattering medium. He is currently working on wraping up his master thesis project under the supervision of Dr. Islam. The primaly research goal of his thesis is to formulate a fast and robust underwater 3D reconstruction algorithm based on the fusion of SfM algorithm and deep learning. He is also collaboraing with other students across the lab to make it lightweight and deployable on low-power robotic systems.
Marquez Jones is a M.Sc. student at the dept of ECE, University of Florida. He is currently working on real time image Processing using a machine learning model deployed to Embedded Linux with the goal of improving vision underwater for divers. He's interested in the field of Embedded Systems and Edge AI. He has skills with Embedded Linux, Real Time Operating Sytems, and Bare Metal Systems. He has also completed three internships at Qualcomm and is currently a Teaching Assistant for Fundamentals of Machine Learning.
Chen Ruo is a senior undergraduate student at the dept of ECE, University of Florida. His is majoring Computer Engineering with an interest in embedded systems and electronic hardware. He has been a robogator member at the RoboPI laboratory since Fall 2022. His prior experience includes working with the Machine Intelligence Laboratory and the Generational Relief in Prosthetics club. He was also a team lead for the AeroGators design team. He is currently working on 2D robot navigation and control with our TurtleBot 4s. He is also working on designing efficient and deployable RTOS modules to enable structured navigation patterns for low-cost autonomous surface vehicles.
Ailani Gisel Morales is a senior undergraduate student at the dept of ECE, University of Florida. She is an Electrical Engineering major, expected to graduate in Fall 2023. Her focus is on developing embedded systems and machine learning tools that enable autonomous robots to accurately interpret their surroundings in real-time. Some of her other interests include FPGA design and digital signals processing. Some of her undergraduate projects have consisted of constructing a flower classification model and multi-effects pedal. Her goal is to actively apply her developed skills to solve ral-life problems at a global scale.
Dr. Md Jahidul Islam directs the RoboPI lab; he is an Assistant Professor at the ECE Department of the University of Florida. His research focuses on solving challenging open problems in the domains of Robotics and AIoT. In particular, he is interested in the design and development of robust perception modules that enable autonomous robots and intelligent machines to accurately interpret their surroundings in real-time. Dr. Islam formed the RoboPI lab back in January 2022, with the primary research focus on developing novel and improved robotics systems for autonomous inspection, surveillance, and long-term monitoring applications to address and mitigate various challenging real-world problems. RoboPI also explores research problems in the domains of applied machine learning and 3D computer vision - aiming at multidisciplinary use cases of AI and AIoT. Checkout our research and publication pages for more details!