Adnan Abdullah is a Ph.D. candidate 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 several projects focusing on audio-visual signal understanding and secure communication of mobile robots in adverse sensing conditions. He is also working on state estimation and localization of mobile robots in long-term exploratory missions.

 adnanabdullah@ufl.edu

 github.com/aduvai22

 linkedin.com/in/adnanabdullah9/

 scholar.google.com/citations?user=0vWxyQMAAAAJ&hl=en

David Blow is a Ph.D. student at the dept of ECE, University of Florida. He completed an B.Sc. and M.Sc. also from ECE, UF. His research focus involves sensorimotor controls and its application to underwater data center surveillance by mobile robots. He has done previous work developing a reliable and low-cost multi-axis drive configuration which can benefit many robotics applications. He is currently exploring supernumerary controls and human-robot sensorimotor interaction and embodied reasoning for field robotics applications.

 david.blow@ufl.edu

Vaishnav Ramesh is a Ph.D. student at the department of ECE, University of Florida. He holds a Bachelor of Technology in ECE from the College of Engineering Trivandrum, India. During his undergraduate years, he was involved with the Robotics and Automation Society of IEEE. After graduation, he worked as a SDE at IBS software. Now, he is pursuing his research interests in machine learning and robotics. He is currently working on low-light image perception, image quality assessment, and active robot vision at the RoboPi lab. He is also exploring novel telerobotics interfaces with human-in-the-lead interaction and task execution.

 vaishnavramesh@ufl.edu

 linkedin.com/in/vaishnavr/

 scholar.google.com/citations?user=c4nJhnAAAAAJ&hl=en

Paul Grau Jr is a Ph.D. student in Computer Engineering at the department of ECE, University of Florida. He is currently working on optimizing sensor placement on autonomous underwater robots. He has previously worked on educational literacy software with the UF Literacy Institute and the Digital Worlds institute under Dr. Angelos Barmpoutis.

 pgrau@ufl.edu

 github.com/herschenglime

 linkedin.com/in/paul-grau-jr/

Abrar Faiaz Eram is a Ph.D. student at the department of ECE, University of Florida. He is also a recipient of the Nelms Research Institute Fellowship, awarded by the Warren B. Nelms Institute for the Connected World. He completed his Bachelor of Science (BS) in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET). His research interests include robotics and on-device AI, with a strong focus on real-time adaptability and agentic learning mechanisms.

 aeram@ufl.edu

 scholar.google.com/citations?user=JCnHRyYAAAAJ&hl=en

 linkedin.com/in/abrar-faiaz-eram/

Luke McDevitt is a Ph.D. student at the department of ECE, University of Florida. He holds a B.Sc. in Electrical Engineering, a M.Sc. in Mechanical & Aerospace Engineering, and he has been a contracted software developer for over 6 years. He has placed third at the National Raytheon Autonomous Vehicle Competition (2023-24), worked in the electrical planning, development and resiliency of critical national infrastructure such as airports, and developed novel tools to automate and streamline the engineering design process for a ~$300m Engineering design firm. When he isn't in class or at work he is tinkering in his home lab or exploring the great outdoors.

 mcdevittluke@ufl.edu

 github.com/Luke-McDevitt

 linkedin.com/in/luke-mcdevitt69/

Shekh. Md. Saifur Rahman is a Ph.D. student at the department of ECE, University of Florida. He completed his Bachelor of Science (BSc) in Computer Science and Engineering from the Military Institute of Science and Technology. His research focuses on the intersection of computer vision and robotics, with a emphasis on developing autonomous systems capable of understanding, reconstructing, and reasoning about complex 3D environments, even under partial or limited observation.

 rahman.sh@ufl.edu

 scholar.google.com/citations?user=ZRfdnWAAAAAJ&hl=en

 github.com/herschenglime

 linkedin.com/in/saifurrahman2384/

Dongyoon Joung is a Master's student in the MAE department at UF. He received his B.S. In Engineering from the Republic of Korea Naval Academy and previously served as an officer in the Republic of Korea Navy, where he gained experience in naval mine-related operations and unmanned systems. His research interests include robotics, control, and perception in challenging environments, particularly autonomous systems in GPS-denied and underwater settings. He is currently interested in sensing, navigation, and real-world deployment of robotic systems for safety-critical applications.

 joung.dongyoon@ufl.edu

 linkedin.com/in/dongyoon-joung-72084a204/

Harsha Gundala is a Master's student in the ECE department at UF. He received his B.S. in Electronics and Communication Engineering at BNM Institute of Technology. His academic focus includes RTL design, computer architecture, reconfigurable computing, and VLSI design, with hands-on experience in Verilog/SystemVerilog and core verification concepts. He gained practical verification and hardware experience through internships at the Indian Space Research Organisation (URSC) and the Indian Institute of Science (IISc). At ISRO, he worked on system-level validation and embedded hardware control, strengthening my debugging and hardware-software integration skills. Currently at the RoboPI lab, he is working on side-scan sonar map alignment and sonar-camera synchronization methods. He enjoys building practical robotic and embedded systems that bridge sensing, computation, and hardware.

 harsha.gundalasu@ufl.edu

 linkedin.com/in/harsha-gundala-sureshbabu-88115b290/

 github.com/HarshaGS-25

Nick Witham is an undergraduate Mechanical Engineering student at the University of Florida. His interests include robotics, autonomous systems, controls, and deep learning. His experience includes work with the Non-Linear Controls & Robotics Lab and a Robotic Bamboo Harvester project for the Agricultural Engineering Department. Through his research and personal projects, Nick has gained hands-on robotics experience that he applies to support the development of robotic systems. At the RoboPI lab, he is exploring ROS2 navigation backbones for autonomous mobiles robots to learn transferable skills from one platform to another, without explicit communication or training.

 withamn@ufl.edu

Michael Priore is a Undergraduate student pursuing a dual major in Computer Science and Electrical Engineering at the University of Florida's Herbert Wertheim College of Engineering. He is currently working on improving localization and mapping capabilities on autonomous underwater robots through optimized camera placement. Michael has seven years of competitive robotics experience through FIRST robotics competitions. At the RoboPI lab, he is supported by the NSF Research Experiences for Undergraduates (REU) program, focusing on enabling new navigation capabilities for our CavePI robot.

 michaelpriore@ufl.edu

 linkedin.com/in/michael-priore-003b5a336/

Tomas Bernal is a Mechanical Engineering student at the MAE Department of UF. As an avid diver and engineer, he contributes to the design and deployment of our novel AUV platforms. He has prior experience prototyping and 3D printing custom scuba and freediving tools and accessories as well. He applies his hands-on design skills and diving experience to support robotics projects at the RoboPI lab.

 t.bernal@ufl.edu

 https://www.linkedin.com/in/tomasbernal06/

Laurent Puyana is a Senior in the Geological Sciences department at UF. Interested in karst environments and scuba diving, Laurent is in the process of becoming a certified cave diver. As a Geology student he works on sea-level reconstructions using carbonates as well as the use of geological proxies to determine past and current climate conditions reflected in the rock record.

 laurentpuyana@ufl.edu

Emerson Schmidt is an undergraduate Computer Engineering student at ECE, UF. His interests include computer vision, hardware design, and embedded systems. Emerson's prior experience includes working with the UF IEEE hardware team, as well as serving several semesters as a teaching assistant for a programming class. He also possesses proficiency in utilizing COMSOL Multiphysics software for simulating neuronal behavior. He is currently working on developing new tools for efficient low-light robot vision and underwater imaging systems.

 schmidt.e1@ufl.edu

linkedin.com/in/emerson-william-schmidt/

Jiayi Wu graduated with M.Sc. (Thesis) degree from the dept of ECE, University of Florida. He was one of the inception members of the RoboPI lab. His M.Sc. Thesis was on low-cost 3D reconstruction and depth estimation in scattering medium. He was involved in several projects, co-authoring multiple papers. He authored the SDU-SfM paper in the IEEE CAI 2023 (oral), and co-authored the UDepth paper in ICRA 2023. From Fall 2023, he will start his Ph.D. studies at the dept of Computer Science, University of Maryland, College Park.

 EMAIL   |  Webpage   |  Github   |  Twitter   |  LinkedIn

Alankrit Gupta graduated with M.Sc. degree from the MAE department, UF. He was instrumental in the development of our CavePI AUV, and also worked on biomimetic robotics motion planning and control algorithms for autonomous underwater exploration. He is currently a Ph.D. student at Georgia Tech!

 gupta.alankrit@ufl.edu

 linkedin.com/in/alankrit-gupta-857204163/

Chen Ruo graduated with a M.Sc. (Thesis) degree from the dept of ECE, UF. He completed his B.Sc. in Computer Engineering with an interest in embedded systems and electronic hardware. He was instrumental in our Word2Wave project and led the scientific dive team at RoboPI. He also odcused on GPS-denied mission control and stealth recovery for AUVs, as well as on designing virtual teleoperation interfaces for ROVs. He is currently a Software Engineer at Tensor Auto.

 chenruo@ufl.edu

 linkedin.com/in/ruochenuf/

Abu Bakr Siddique was a graduate student at the dept of ECE, University of Florida. He completed an M.Sc. in ECE from Michigan Technological University (2024), and B.Sc. in EEE from IUT, Bangladesh. Post graduation, Abu worked as a faculty member at IUBAT, Bangladesh. He contributed to the AquaFuse, UStyle, and the  SLURPP articles. He is currently a PhD student at Michighan Tech (MTU).

 msiddique@ufl.edu

 https://scholar.google.com/citations?user=SzfoCVkAAAAJ&hl=en

Hai-Ning Wang graduated with M.Sc. degree from the dept of ECE, UF. He received his M.Sc. (2023) from Shandong University and B.Sc. (2019) from Northeastern University. He focused on image quality assessment and its application to low-light image enhancement problems. His work on Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment DGIQA paper is currently under review!

 haining.wang@ufl.edu

 github.com/wanghn0320

Harsha Reddy is a graduate student in the ECE department at the UF. He holds a Bachelors degree in Electronics and Communication Engineering from GITAM University, India. At Accenture, he automated workflows and managed systems using Python and PowerShell. He is currently focused on Design Verification and DFT, with hands-on experience in System Verilog, UVM, and System Verilog Assertions (SVA).He has verified a range of complex designs including AXI memory interfaces, Round Robin arbiters, AHB memory modules, and APB components. He is the project jar, web and media assistant at the RoboPI lab. He joined Astera Labs as a DFT Engineer.

 h.vndavally@ufl.edu

https://www.linkedin.com/in/vndavally/

Xianyao Li is a M.Sc. student at ECE, UF. He has received his Bachelor of Engineering (B.Eng.) degree with a major in Automation. His research interests are mainly focused on embedded systems and robotics. During his undergraduate studies, he has participated in the national undergraduate innovation training program on UAV vision and the robotics intelligent manufacturing program. He is currently working on visual servoing and control of underwater robots in low-light conditions. He is now a PhD student with Dr. Eric Du at UF.

 xianyao.li@ufl.edu

Sheng-En Huang was a M.Sc. student at the dept of ECE, University of Florida. He received his M.Sc. and B.Sc. degrees from National Chiao Tung University (NCTU) and National Taiwan Ocean University (NTOU), respectively. His research included control engineering and robot vision. His experience subsumes guidance and control of autonomous surface vehicles, panoramic camera SLAM with monocular vision, and on-the-move tracking algorithm. He is now a Software Engineer at TensorAuto.

 huang.sh@ufl.edu

 github.com/ShengrenHuang

https://www.linkedin.com/in/huang-sh

Steven Phang graduated with B.Sc. degree with Computer Engineering (CE) major from the dept of ECE, University of Florida. He worked in his B.Sc. honors thesis at the RoboPI lab on the topic "Skymap: Point Cloud Reconstruction from Monoscopic Aerial Photography" (same team as Veronica Soden). Post graduation, he joined Apple Inc. as a Software Engineer in the Wireless Tech and Ecosystems organization.

 sphang@ufl.edu

linkedin.com/in/steven-phang-a165b3192/

Veronica Soden graduated with B.Sc. degree with Computer Engineering (CE) major from the dept of ECE, University of Florida. She worked in her B.Sc. honors thesis at the RoboPI lab on the topic "Skymap: Point Cloud Reconstruction from Monoscopic Aerial Photography" (same team as Steven Phang). She started her career as a Software Engineer in Amazon Robotics.

 veronicasoden@ufl.edu

linkedin.com/in/veronicasoden

Ailani Gisel Morales graduated with B.Sc. degree with Electrical Engineering (EE) major from the dept of ECE, University of Florida. She worked in the RoboPI lab in 2022-2023. She was involved in the underwater cave exploration and mapping project, and co-authored the CL-ViT paper. She joined L3Harris Technologies as a FPGA Engineer.

 ailanimorales@ufl.edu

linkedin.com/in/ailani-morales-b0618a193/

 github.com/ailanimorales

Marquez Jones graduated with M.Sc. degree with Computer Engineering (CE) major from the dept of ECE, University of Florida. He worked in the RoboPI lab in Fall 2022 semester. He joined Qualcomm Inc as an Embedded Software Engineer.

 marquezjones@ufl.edu

 linkedin.com/in/marquezjones/

 github.com/Marquez607

Our RoboGators: Sanat Konda, Bohdan Purtell, and Ahmed Sattar - along with other team members Nikhil Iyer, Katherine Gonzalez, Emma Coronado, and Dogan Torosdagli - took part and WON the Vanderbilt Mission Autonomy Hackathon! They made the best use of the RTOS (Micro-P2) and ROS (Autonomous Robots) concepts from my classes and developed a working multi-UUV coordination and edge-to-cloud system within days. They combined system-level architecture, real-time embedded engineering, and pragmatic cloud infrastructure to deliver a multi-vehicle autonomy demo that worked in the field. Now they are off to rock the next competition!

 LinkedIn News!   | Github project

From left: Ethan Shover, Lauren Proctor, and Stevie Galluscio graduated from the CISE department at UF (Spring 2024). At the RoboPI lab, they worked on their senior project as a team named GLIDE: Guided Locomotion for Imaging & Deep Exploration. This capstone project focuses on developing low-cost underwater gliders targetting autonomous missions. The goal is to make this glider capable of depth regulation, surface communication, and take sensory readings. They will deploy their glider on underwater sinkholes across Florida for data collection and surveying.

 Ethan   |  Lauren   |  Stevie

From left: Steven Phang and Veronica Soden graduated from the ECE department at UF (Fall 2023). They completed their senior project on SkyMap: Point Cloud Reconstruction from Monoscopic Aerial Photography, which interfaced a monoscopic camera mounted on an Unmanned Aerial Vehicle (UAV) to generate 3D point cloud reconstructions of environmental features. They explored the effectiveness of this technique in creating informative models that can represent changes over time, particularly in challenging environments such as aquatic habitats that are difficult to monitor through traditional means.

 Steven   |  Veronica