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Keynote talks

Monday, 17 August 2026

INDRANIL SAHA - Indian Institute of Technology Kanpur

Professor, Department of Computer Science and Engineering Professor and
Head, Department of Intelligent Systems
Indian Institute of Technology Kanpur

Email: isaha@cse.iitk.ac.in

R&D Interests:

  • Multi-robot systems
  • Formal Methods for CPS and Robotics
  • AI and Machine Learning for Robotics

Indian Institute of Technology Kanpur: cse.iitk.ac.in/users/isaha/

Linkedin profile: linkedin.com/in/indranil-saha-8859135/

MIN YOUNG KIM - Kyungpook National University

Professor, KNU

Email: minykim@knu.ac.kr

Kyungpook National University:

LinkedIn profile: linkedin.com/in/min-young-kim-735772b0/

Description of work:

Min Young Kim is a researcher specializing in optomechatronics, intelligent systems, and multi-scale robotics. His work focuses on integrating optical technologies with robotics and mechatronic systems to create advanced sensing, perception, and control capabilities for next-generation robotic platforms.

His research can be summarized into four major themes:

1. Optomechatronic Systems and Technology Fusion
He develops integrated systems combining optics, mechanics, electronics, and embedded computing. His work emphasizes interdisciplinary “systemic fusion,” where optical sensing and mechatronic control operate together to enhance robotic intelligence and adaptability.

2. Advanced Vision and Imaging Systems
A major part of his research involves adaptive vision systems, infrared imaging, light-field imaging, and multimodal sensing. His projects include:

  • Adaptive light-field vision systems for object detection and tracking
  • EO/IR multimodal imaging for drone tracking in defense applications
  • Adaptive image restoration for noisy infrared imaging systems
  • Vision-based navigation systems for surgical robotics

3. Multi-Scale Robotics and Intelligent Perception
His laboratory investigates robotic systems operating across macro and micro scales, including:

  • Biomedical and surgical robots
  • Semiconductor inspection robots
  • Autonomous aerial and ground robotic systems
  • Micro-opto-mechanical systems (MOEMS)

4. AI-Based Computer Vision and Sensor Fusion
His recent publications demonstrate strong engagement with deep learning and AI-driven perception, including:

  • Real-time semantic segmentation using feature pyramid networks
  • Machine-learning-based human detection systems
  • Multimodal sensor fusion architectures
  • 3D reconstruction using laser and speckle imaging methods

His research contributions are characterized by:

  • Integration of optical sensing with intelligent robotic control
  • Real-time perception in challenging environments
  • Multi-sensor fusion for autonomous systems
  • Application-oriented engineering for defense, medical, and industrial robotics

He has also contributed patented technologies in optical measurement and interferometric inspection systems, including multiple U.S. patents.

DANIEL SEITA - University of Southern California

Assistant Professor

Email: seita@usc.edu

Linkedin profile: linkedin.com/in/daniel-seita-51326288

Description of work:

Daniel Seita is an Assistant Professor in the Computer Science department at the University of Southern California and the director of the Sensing, Learning, and Understanding for Robotic Manipulation (SLURM) Lab. His research interests are in computer vision, machine learning, and foundation models for robot manipulation, focusing on broadening training data and improving performance in visually and geometrically challenging settings. The author’s work is supported by the University of Southern California, the National Science Foundation, Samsung Research America, and Honda Research America, as well as equipment and research gifts from Dexmate, NVIDIA, Google, and OpenAI.

Additional info: danielseita.github.io

TONY G. CHEN - Georgia Institute of Technology

Assistant Professor

Email: tonygchen@gatech.edu

Linkedin profile: linkedin.com/in/tonygchen/

Description of work:

Tony G. Chen is an Assistant Professor at the Georgia Institute of Technology, in the George W. Woodruff School of Mechanical Engineering. His research focuses on designing mechanical intelligent mechanisms for manipulation and locomotion, with application areas in bio-inspired robotics and field robotics. Mechanical intelligence allows us to develop mechanisms and robotic platforms that make challenges for perception, control, and autonomy easier or more robust for natural, unstructured, and often unpredictable environments by virtue of their physical designs.

Additional info: me.gatech.edu/user/1105