Jaime Andres Camelio

Associate Dean for Research, Innovation and Entrepreneurship, College of Engineering

Dr. Jaime Camelio is currently the Associate Dean for Research, Innovation, and Entrepreneurship in the College of Engineering at the University of Georgia. From 2008 to 2019, he was a professor for Advanced Manufacturing in the Grado Department of Industrial and Systems Engineering at Virginia Tech. He served as Chief Technology Officer at the Commonwealth Center for Advanced Manufacturing (CCAM) from 2016-2019. Dr. Camelio obtained his B.S. and M.S. in Mechanical Engineering from the Catholic University of Chile in 1994 and 1995, respectively. In 2002, he received his Ph.D. from the University of Michigan. His professional experience includes working as a consultant in the Automotive/Operations Practice at A.T. Kearney Inc. He has extensive experience in operation management in manufacturing environments including industry 4.0 transformation, production control, and lean manufacturing. His research interests are in innovation education, intelligent manufacturing, and cyber-physical security. He has authored or co-authored more than 120 technical papers. He teaches undergraduate and graduate courses related to design, manufacturing processes, manufacturing systems, and data mining.

Education:
  • Ph.D., Mechanical Engineering, University of Michigan, 2002
  • M.S., Industrial and Operations Engineering, University of Michigan, 2002
  • M.S., Mechanical Engineering, Universidad Católica de Chile, 1996
  • B.S., Mechanical Engineering, Universidad Católica de Chile, 1994
Research Interests:
  • Intelligent manufacturing systems
  • Cyber-physical security in manufacturing
  • Data-driven approaches to manufacturing processes
  • Innovation and engineering education

Guoming Li

Assistant Professor, Department of Poultry Science

Dr. Guoming Li has developed and utilized various machine and deep learning models to detect and evaluate animal behavior, welfare, body condition, phenotyping, health status, productivity, and environment. He has embedded these models into various precision agriculture tools (i.e., robotics, radio frequency identification system, computer vision system, sound recognition system, accelerometer, infrared thermography, and 3D sensing device) to support precision management in animal production. The animal species include poultry, swine, and cattle. His research also covered five major deep learning-based computer vision tasks, which are image classification, object detection, semantic/instance segmentation, keypoint/pose estimation, and tracking.

Education:
  • Postdoc, Iowa State University
  • Ph.D., Mississippi State University
  • M.S., China Agricultural University
  • B.S., China Agricultural University
Research Interests:
  • Precision livestock/poultry systems
  • AI and computer vision in agriculture
  • Robotics and automation for production
  • Animal behavior and welfare analytics
  • Digital phenotyping and 3D reconstruction
  • Smart sensing and environmental control

Mohammad Amin Amouhadi

MSAI Student
Education:

PhD candidate, Philosophy

MSc, Artificial Intelligence (in progress)

University of Georgia, Athens, Georgia

Exchange MA student in philosophy

University of Massachusetts, Amherst, Massachusetts

BA(honours), Philosophy

The University of Cape Town, Cape Town, South Africa

BSc in Electrical Engineering

Sharif University of Technology, Tehran, Iran

 

AI Research Day 2022

Tate Center Reception Hall

AI Everywhere (All at Once)

Please join us November 17, 2022 from 2:00 - 7:00 pm for 2022 AI Research Day, sponsored by the Institute for Artificial Intelligence. The theme of the day is AI Everywhere (All at Once). The day will consist of a keynote address, lightning presentations by members of the UGA community engaged in AI research, a discussion panel, and research posters describing the work of UGA students. We will have light refreshments throughout the event.

Event Program (PDF) 

Keynote (Remote): Peter Stone 

Image of Peter Stone

Speaker: Peter Stone.  Director of Texas Robotics, UT Austin; Associate Chair of the Department of Computer Science, UT Austin; Truchard Foundation Chair in Computer Science, UT Austin; Executive Director, Sony AI America

Time: 2:15 PM

Title: "Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning"

Abstract:

Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block opponents while operating their vehicles at their traction limits. Racing simulations, such as the PlayStation game Gran Turismo, faithfully reproduce the non-linear control challenges of real race cars while also encapsulating the complex multi-agent interactions. Here we describe how we trained agents for Gran Turismo that can compete with the world's best e-sports drivers. We combine state-of-the-art, model-free, deep reinforcement learning algorithms with mixed-scenario training to learn an integrated control policy that combines exceptional speed with impressive tactics. In addition, we construct a reward function that enables the agent to be competitive while adhering to racing's important, but under-specified, sportsmanship rules. We demonstrate the capabilities of our agent, Gran Turismo Sophy, by winning a head-to-head competition against four of the world's best Gran Turismo drivers. By describing how we trained championship-level racers, we demonstrate the possibilities and challenges of using these techniques to control complex dynamical systems in domains where agents must respect imprecisely defined human norms.

Lightning Talks (Session I)

Time: 3:15 PM

Speakers: 

Panel Discussion 

Time: 4:00 PM

Topic: "How will AI change your field, for better or worse?"

Moderator: 

Panelists:

  • Anna Abraham (E. Paul Torrance Professor, Department of Educational Psychology, Director, Torrance Center for Creativity & Talent Development)
  • Aaron Schecter (Assistant Professor of Management Information Systems, Terry College of Business)
  • Wenzhan Song (Georgia Power Mickey A. Brown Professor; School of Electrical and Computer Engineering; Director of the Center for Cyber-Physical Systems)
  • Neal Outland (Department of Psychology) 

Lightning Talks (Session II)

Time: 5:00 PM

Speakers: 

  • Jeremy Davis (Assistant Professor, Department of Philosophy) 
  • Sergio Bernardes  (Associate Director, Center for Geospatial Research; Director, Disruptive Geospatial Technologies Lab) 
  • Eric Miller (Small Satellite Research Lab) 
  • John Gibbs (Associate Professor, Department of Theatre and Film Studies) 

Research Poster Reception

Time: ~5:40

Includes awards for best posters

Organizing Committee:

The AI Institute would like to thank the following for organizing the research day. 

Getting There

Subscribe to