Invited Speakers (tentative list)

AI3D26

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AI3D26 Invited Speakers (tentative list)

Plenary Speakers (tentative list)

	Prof. Manish Chhowalla Goldsmiths' Professor of Materials Science, Head of 2D Materials and Devices Group, University of Cambridge, UK Van der Waals interfaces for high electronics based on atomically thin semiconductors short bio short bio Manish Chhowalla is the Goldsmiths’ Professor of Materials Science at the University of Cambridge. His research interests are in the fundamental studies of atomically thin two-dimensional transition metal dichalcogenides (TMDs). In particular, his group studies the properties of different phases of 2D TMDs. He has demonstrated that it is possible to induce phase transformations in atomically thin materials and utilise phases with disparate properties for field effect transistors, catalysis, and energy storage. Prof. Chhowalla is a Fellow of the Royal Academy of Engineering (FREng), Materials Research Society, and Churchill College. He was the founding Editor-in-Chief of Applied Materials Today, Associate Editor of ACS Nano, and is now the Editor-in-Chief of MRS Energy & Sustainability. He has been on the Clarivate Highly Cited Researchers since 2016. Prior to Cambridge, he was a Professor at Rutgers University in NJ, USA.

	Prof. Lydia Kavraki University Professor, Kenneth and Audrey Kennedy Professor of Computing, Professor of Computer Science, Electrical & Computer Engineering, Mechanical Engineering, and Bioengineering, Director of the Ken Kennedy Institute, Rice University, USA Physical AI: Reshaping Physical Discovery and Engineering Practice short bio short bio Lydia E. Kavraki is a University Professor and the Kenneth and Audrey Kennedy Professor of Computing and professor of Computer Science, Electrical & Computer Engineering, Mechanical Engineering, and Bioengineering. She also serves as the director of the Ken Kennedy Institute at Rice University. Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University, working with Professor Jean-Claude Latombe. She was a research associate at Stanford University before moving to Rice. Kavraki works broadly in robotics, computational biomedicine, and physical AI. She has authored more than 300 peer-reviewed journal and conference publications and is one of the authors of the widely used robotics textbook “Principles of Robot Motion” published by MIT Press. Work in her group has produced the Open Motion Planning Library (OMPL), an open-source library of motion planning algorithms used worldwide. Besides this library her group maintains several web servers for computational biomedicine applications. Kavraki’s research has been funded by NSF, NIH, ARO, DOD, NASA, industry, and the Cancer Prevention and Research Institute of Texas (CPRIT). Kavraki's more than 40 postdocs and PhD students have gone on to faculty positions at top universities, industry research labs, startups, and large software companies. Through her role at the Ken Kennedy Institute, she brings faculty together across seven schools and twenty-seven departments to shape large research projects and future directions in AI, data, and computing at Rice University. Kavraki is a member of the National Academy of Engineering (NAE), the National Academy of Sciences (NAS), the National Academy of Medicine (NAM), and the American Academy of Arts and Sciences. She is also a member of Academia Europaea, the Academy of Europe and a corresponding member of the Academy of Athens. She has served the Academies in multiple roles, including serving as a vice-chair and chair of Section 1 of NAM, founding member of the Health and Technology Interest Group of NAM, and member of the Board of Mathematical Sciences and Analytics. Kavraki received the IEEE Frances E. Allen medal in 2023. She received the Association for Computing Machinery (ACM) Grace Murray Hopper Award (2000), the ACM Athena Lecturer Award (2017), and the ACM/AAAI Allen Newell Award (2020). Kavraki received the Early Academic Career Award from the IEEE Society on Robotics and Automation (2002) and Robotics Pioneer Award from the IEEE Robotics and Automation Society (2020). Other awards include an NSF CAREER award, a Sloan Fellowship, a Whitaker Investigator Award, recognition as a top TR100 investigator from the MIT Technology Review Magazine, recognition as a Brilliant 10 Scientist from the Popular Science Magazine, and the Anita Borg ABIE Technical Leadership Award. At Rice University, she is the recipient of the Charles Duncan Award for Excellence in Research and Teaching, the Presidential Mentorship Award, the Outstanding Faculty Research Award from the Engineering School, and the university-wide Faculty Award for Excellence in Research, Teaching and Service (2022). She has been recognized in Houston with BioHouston’s Women in Science Award. Kavraki is a Fellow of ACM, a Fellow of IEEE, a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and a Fellow of the American Institute for Medical and Biological Engineering (AIMBE).

Invited Speakers (tentative list)

	Prof. Dimitra Georgiadou, University of Southampton, UK
	Prof. Panagiotis Grammatikopoulos, University of Castilla-La Mancha (UCLM), Spain Atomistic Modelling of Nanoparticle Coalescence during Gas-Phase Synthesis
	Dr. Kiran Gulia, University of Wolverhampton, UK
	Prof. Vinay Gupta, Khalifa University, Abu Dhabi, UAE 3D printed Porous PLA/S/CNT Nanocomposite Electrodes for Li-Ion Batteries
	Prof. Martin Thomas Horsch, Norwegian University of Life Sciences (NMBU), Norway Digital product passport information exchange interoperability infrastructure
	Prof. Joseph Kioseoglou, Aristotle University of Thessaloniki, Greece Artificial Intelligence in Materials Science: Machine Learning-Based Interatomic Potentials
	Prof. Elefterios Lidorikis, University of Ioannina, Greece
	Prof. Guy Makov, Ben-Gurion University, Israel Bimetallic nanometric phase diagrams
	Prof. Xavier Rocquefelte, University of Rennes, France
	Prof. Ioanna Zergioti, National Technical University of Athens, Greece Laser Induced Forward Transfer: current and future directions

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