Skip to main content

People & Participating Researchers

A cross-disciplinary partnership at UF

Anchored within the Herbert Wertheim College of Engineering and developed in strategic partnership with the Institute of Food and Agricultural Sciences (IFAS), the Florida Physical AI Initiative connects researchers across engineering, agriculture, computing, and related disciplines to advance Physical AI research and applications.

Join our Directory

Participating Researchers

9 departments • 40+ researchers

Dr. Changying ‘Charlie’ Li

Leads research in agricultural robotics, AI-driven high-throughput phenotyping, 3D computer vision, and autonomous field scanning platforms.

 clifas@ufl.edu


Dr. Henry Medeiros

Investigates computer vision, robotic perception, agricultural automation, spatio-temporal sensing, and sub-canopy robotic navigation.

h.medeiros@ufl.edu


Dr. Daeun ‘Dana’ Choi

Specializes in mechatronics, synthetic data and digital twins for crop robotics, machine vision, and autonomous orchard inspection platforms.

dana.choi@ufl.edu


Dr. Yiannis Ampatzidis

Focuses on precision agriculture, drone-based aerial sensing, and automated agricultural pest/disease vision systems.

yampatzidis@ufl.edu


Dr. Tom Burks

Researches agricultural robotics, automated harvesting end-effectors, mechanical manipulation, and precision sorting.

tburks@ufl.edu

Dr. Aysegul Gunduz

Specializes in neural engineering, brain-machine interfaces (BMIs), closed-loop deep brain stimulation, and neuro-motor state decoding.

agunduz@bme.ufl.edu


Dr. Mingzhou Ding

Researches cognitive neurodynamics, physiological signal processing, and human-autonomy interaction modeling.

mding@bme.ufl.edu


Dr. Kyle Allen

Investigates joint biomechanics, non-invasive motor function evaluation, osteoarthritis models, and automated musculoskeletal gait tracking.

kyle.allen@bme.ufl.edu

Dr. Lily Elefteriadou

Directs research in connected and autonomous vehicle (CAV) traffic management, intelligent transportation systems, and algorithmic intersection control.

elefter@ce.ufl.edu


Dr. Sara Behdad

Specializes in remanufacturing engineering, circular economy cyber-physical systems, automated disassembly robotics, and AI-enabled product life-cycle analytics.

sarabehdad@ufl.edu


Dr. Eric Jing Du

Investigates human-robot collaboration in construction, cognitive load telemetry for field operators, robotics for built environments, and civil infrastructure automation.

eric.du@essie.ufl.edu


Dr. David Kaplan

Researches ecohydrology, watershed dynamics, hydrodynamic sensor telemetry, and environmental systems modeling.

dkaplan@ufl.edu

Dr. Prabhat Mishra

Researches embedded systems architecture, hardware-software co-design, post-silicon validation, IoT security, and energy-aware on-chip AI acceleration.

prabhat@cise.ufl.edu


Dr. Sara Rampazzi

Investigates cyber-physical systems security, hardware sensor spoofing/injection attacks, and resilient perception for autonomous vehicles and medical devices.

srampazzi@ufl.edu


Dr. Anand Rangarajan

Focuses on computer vision, medical imaging, physics-informed machine learning, and video-based scene analysis for physical environments.

anand@cise.ufl.edu


Dr. Eakta Jain

Specializes in human-robot interaction, visual attention modeling, eye tracking, and embodied user-agent interfaces.

ejain@cise.ufl.edu


Dr. Sanmay Das

Investigates multi-agent systems, reinforcement learning dynamics, and distributed decision algorithms for interacting physical agents.

sanmay@cise.ufl.edu

Dr. Christophe Bobda

Specializes in reconfigurable FPGA architectures, System-on-Chip (SoC) acceleration, bio-inspired event cameras, neuromorphic edge vision, and zero-trust hardware security.

cbobda@ece.ufl.edu


Dr. Swarup Bhunia

Focuses on microelectronic hardware security, hardware root-of-trust, bio-inspired edge sensors, and supply chain integrity for autonomous platforms.

swarup@ece.ufl.edu


Dr. Mark Tehranipoor

Specializes in hardware security and trust, anti-counterfeiting microelectronics, physical unclonable functions (PUFs), and zero-trust silicon foundations for secure embodied devices.

tehranipoor@ece.ufl.edu


Dr. Sanjeev Koppal

Focuses on computational photography, physics-based vision, active illumination, foveated depth sensing, and novel optical sensors for robotics.

sjkoppal@ece.ufl.edu


Dr. Md Jahidul Islam

Investigates underwater robotics, marine physical AI, vision-guided marine perception, robust robotic SLAM, and image restoration in turbid aquatic environments.

jahid@ece.ufl.edu


Dr. Sandip Ray

Researches formal verification, system-level hardware security, Internet of Battlefield 
Things (IoBT), and trustworthy firmware/SoC architectures for autonomous cyber-physical systems. 

sandip@ece.ufl.edu


Dr. Ivan Ruchkin

Focuses on trustworthy cyber-physical systems, multi-model uncertainty quantification, runtime verification, and safety-assurance frameworks for autonomous mobile robots.

iruchkin@ece.ufl.edu


Dr. Jie Fu

Investigates formal methods, dynamic game theory, reinforcement learning with temporal logic guarantees, motion synthesis, and secure autonomous planning in adversarial environments.

fujie@ufl.edu


Dr. Farimah Farahmandi

Specializes in hardware security assurance, formal verification of microelectronic circuits, pre-silicon security validation, and vulnerability detection in autonomous hardware platforms.

farimah@ece.ufl.edu


Dr. Eric Schwartz

Leads autonomous mobile robotics development, machine vision integration, multi-sensor embedded payloads, and student-driven unmanned vehicle platforms (SubjuGator, NaviGator).

ems@mil.ufl.edu


Dr. Joel Harley

Investigates ultrasonic and acoustic signal processing, physics-informed acoustic wave modeling, and edge structural health monitoring.

jharley@ufl.edu


Dr. Herman Lam

High-performance reconfigurable computing, FPGA-based hardware accelerators, hardware-software co-design, and parallel processing architectures for edge computing.

gstitt@ece.ufl.edu


Dr. Alina Zare

Specializes in pattern recognition, physics-guided machine learning, sub-surface acoustic/radar sensing, hyperspectral imaging, and embodied plant root phenotyping.

azare@ufl.edu


Dr. Rickard Ewetz

Electronic design automation (EDA), in-memory computing architectures, emerging resistive crossbars (ReRAM/memristors), and energy-efficient edge acceleration for physical AI.

rewetz@ece.ufl.edu


Dr. Xiaoyi Lu

High-performance computing (HPC), AI systems, distributed storage, RDMA network communication, and low-latency data pipelines bridging supercomputers (HiPerGator) to autonomous edge fleets.

xiaoyi.lu@ufl.edu


Dr. Mingyi Ji

Large-scale distributed optimization, federated edge learning, non-convex stochastic optimization, and communication-efficient learning algorithms for multi-agent autonomous systems.

ji@ise.ufl.edu

Dr. Iris V. Rivero

Leads research in advanced and cyber-physical manufacturing systems, biomaterials fabrication, smart additive manufacturing, and automated closed-loop fabrication processes.

iris.rivero@ufl.edu


Dr. Eric MacDonald

Specializes in multi-process additive manufacturing, structural electronics embedding, in-situ sensor monitoring for industrial automation, and closed-loop process control.

eric.macdonald@ufl.edu


Dr. Boyi Hu

Focuses on human factors engineering, physical human-robot interaction (pHRI), ergonomic biomechanics, and wearable sensor analytics.

boyihu@ise.ufl.edu


Dr. Mostafa Reisi-Gahrooei

Specializes in sensor-based process modeling, data analytics for advanced manufacturing, and quality control in cyber-physical systems.

mreisi@ise.ufl.edu


Dr. Jorge A. Sefair

Investigates network optimization, disaster response logistics, and resilient infrastructure routing under uncertainty.

jsefair@ise.ufl.edu

Dr. Yu Wang

Specializes in cyber-physical systems, formal methods, safety-critical autonomous control, dynamic game theory, and multi-robot motion planning under safety constraints.

yuwang1@ufl.edu


Dr. Carl Crane

Specializes in kinematic analysis, spatial mechanics, automated ground vehicle navigation, and mechanical manipulator design for unstructured physical environments.

ccrane@ufl.edu


Dr. Peter Ifju

Researches unmanned aerial systems (UAS), micro air vehicles (MAVs), composite structures, and aerodynamic sensing under severe turbulence.

ifju@ufl.edu


Dr. Katerina Aifantis

Investigates mechanics of nanomaterials, predictive material modeling, biomechanical scaffolds, and battery degradation under physical stress.

kaifantis@ufl.edu

Dr. Richard Hennig

Specializes in computational materials design, physics-informed machine learning for material discovery, and high-throughput atomistic simulations.

rhennig@ufl.edu


Dr. Jennifer Andrew

Researches multiferroic composites, magnetic nanomaterials, and responsive nanocomposites for embodied sensing and actuation.

jandrew@mse.ufl.edu


Dr. Juan Claudio Nino

Focuses on functional electroceramics, radiation detection materials, and dielectric substrates for harsh-environment sensors.

jnino@mse.ufl.edu


Dr. Michael Tonks

Investigates mesoscale materials modeling, microstructure coevolution, and predictive degradation analysis in extreme operating environments.

michael.tonks@ufl.edu

Dr. James Baciak

Directs research in radiation detection instrumentation, non-destructive evaluation, autonomous radiation surveillance rovers, and homeland security telemetry.

jmbaciak@ufl.edu


Dr. Andreas Enqvist

Specializes in nuclear safeguards, neutron/gamma detection algorithms, nuclear materials verification, and extreme-field robotic sensing.

enqvist@ufl.edu


Dr. Assel Aitkaliyeva

Investigates nuclear fuels and materials characterization, microstructural degradation under irradiation, and materials in extreme environments.

aitkaliyeva@ufl.edu


Dr. DuWayne Schubring

Focuses on reactor thermal hydraulics, multiphase flow dynamics, and quantitative flow visualization for reactor safety systems.

dlschubring@ufl.edu

Join the Researcher Directory

Submit your information to be considered for inclusion in the Florida Physical AI Initiative Researcher Directory.

Name(Required)
Email(Required)
Field of Expertise(Required)
Which field or fields best describe your research focus within Physical AI? Select all that apply.
Briefly describe your research focus within the selected field(s). Identify specific research areas, technologies, methods, or applications. Keep your description concise (1–2 sentences) and write in the third person.