个人介绍： Burak Kara is a Professor in Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. He serves as Associate Head for Academic Planning. His research combines machine learning, optimization, and geometric modeling to develop computational tools for design and manufacturing. Applications include CAD, topology optimization, additive manufacturing, electronics design, and bio-engineering. He has pioneered methods like deep learning for structural simulation and design automation. He received the NSF CAREER Award and ASME Design Automation Young Investigator Award. He teaches AI, machine learning, and engineering design courses. He earned his Ph.D. from Carnegie Mellon University.

个人介绍： Shimada is the Theodore Ahrens Professor of Engineering in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Biomedical Engineering and the Robotics Institute. His research focuses on computer modeling and simulation for product design, analysis, and manufacturing. He specializes in geometric computing, mesh generation, CAD-CAE integration, and physically-based modeling. His "Bubble Mesh" method is widely used in industries like automotive and computer graphics. Current projects include anisotropic meshing, adaptive remeshing, and feature-based design. He aims to enhance design efficiency, product quality, and manufacturing cost reduction. He holds a Ph.D. from MIT and previously worked on precision engineering at the University of Tokyo.

个人介绍： Cagan is the David and Susan Coulter Head of Mechanical Engineering and the George Tallman and Florence Barrett Ladd Professor at Carnegie Mellon University. He also holds a courtesy appointment in the School of Design and serves as Associate Director of the Human+AI Design Initiative. His research integrates AI, machine learning, optimization, and cognitive science to advance engineering design automation. He focuses on computational modeling of designer processes, human-AI teamwork, biomechanical system design, and product development. A co-founder of the Integrated Innovation Institute, he has over 300 publications and multiple patents. He has received numerous awards, including the ASME Design Theory and Methodology Award and the NSF CAREER Award. He teaches design, innovation, and optimization courses.

个人介绍： Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. His research aims to enhance human mobility through robotics, wearables, and artificial intelligence. He designs mechatronic systems and deep learning-based controllers for wearable assistive devices, such as robotic exoskeletons, to aid individuals with motor impairments. His work integrates mechatronic design, control theory, gait biomechanics, and motor learning. Prior to joining CMU, he was a postdoctoral associate at MIT in Brain and Cognitive Sciences. He holds B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Georgia Tech. His long-term goal is to develop transformative wearable robotic systems for improved human-machine interaction.

个人介绍： Presto is a Research Professor in the Department of Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in Civil and Environmental Engineering. He is a key member of the Center for Atmospheric Particle Studies (CAPS). His research specializes in pollutant emissions from energy extraction and consumption, including methane from oil and gas wells, and emissions from vehicles such as carbon monoxide and particulate matter. He examines how these pollutants undergo atmospheric transformations, leading to secondary pollutants like ozone. Using a multidisciplinary approach involving ambient measurements, laboratory experiments, source testing, and atmospheric modeling, Dr. Presto provides a holistic understanding of air quality issues. He also collaborates with medical professionals to study the health impacts of pollutants, such as childhood asthma, on a community level. With over 20 years of academic research experience, his work bridges environmental science and public health.

个人介绍： He is an experienced physicist and educator with a Ph.D. in Theoretical Physics and advanced training in Nuclear Engineering. Their research focuses on radiation transport, radioisotope power systems, and neutron physics, with numerous publications in journals such as the Transactions of the American Nuclear Society Medical Physics. They have contributed to the development of micro-scale nuclear batteries and have co-authored provisional patents for photon-assisted radioisotope energy sources. With over a decade of teaching experience, they have instructed courses in general physics, computational methods, and Python programming at multiple institutions. Their technical expertise includes Monte Carlo simulations (MCNP, EGS), deterministic transport methods, and programming in Python, MATLAB, and Fortran. They have also served as a grant reviewer for the Department of Energy and mentored undergraduate researchers.

个人介绍： He is a highly educated academic with dual Ph.D. degrees in Mechanical Engineering and Mathematics, currently serving as an assistant professor at a university known for its aviation and engineering programs. Their research expertise spans computational fluid dynamics, heat transfer, electromagnetics, and applied mathematics, with publications in reputable journals such as the International Journal of Heat and Mass Transfer Physics of Fluids. They have taught a wide range of undergraduate and graduate courses in engineering and mathematics, including thermodynamics, numerical methods, and fluid mechanics. Their professional background includes research collaborations with national laboratories such as Lawrence Livermore National Laboratory and Sandia National Labs, as well as experience in grant writing and student mentorship. They have also been involved in curriculum development and academic service, including committee roles and conference organization.

个人介绍： He is an experienced educator and engineer currently serving as an assistant professor in mechanical engineering at a public research university. With a Ph.D. in mechanical engineering, their expertise spans biomechanics, medical device design, finite element analysis, and systems engineering. They have held roles at federal agencies including the U.S. Food and Drug Administration and the U.S. Patent and Trademark Office, where they reviewed and assessed medical devices and patents. Their research background includes materials science, wearable technology, ballistics testing, and sensor development for biomedical applications. They have also contributed to curriculum development, ABET accreditation, and student mentorship, including capstone design and robotics programs. Additionally, they possess strong technical skills in programming, IT systems, and data analysis, supported by a CompTIA Security+ certification.

个人介绍： He is a tenured associate professor at a leading Ivy League engineering school. Their research program focuses on scalable nanomanufacturing for next-generation electronics and energy devices. A core innovation from their group is the development of liquid metal printing techniques for rapidly fabricating high-performance, two-dimensional transparent oxide semiconductors, which are crucial for flexible electronics, wearable sensors, and transparent circuits. Additionally, their work encompasses 3D-printed micro-lattice electrodes for efficient electrocatalysis and energy storage, as well as high-speed printing of large-area perovskite solar cells. Since starting their faculty position, they have built a strong research team, secured substantial competitive funding from national agencies, and authored over 35 articles in prominent materials science and engineering journals. Their contributions have been recognized through several awards, including a notable young manufacturing engineer award.

个人介绍： He is for an Assistant Professor of Electrical and Computer Engineering with a PhD focused on neuromorphic computing using memristors. His research involves implementing machine learning and deep learning algorithms on low-power hardware for applications like adaptive control and anomaly detection, resulting in several peer-reviewed publications. He has practical industry experience in autonomous vehicles, having interned as an Autonomous Vehicle Engineer where he developed perception and control algorithms using sensor fusion (LiDAR, radar, camera) on ROS. He is highly proficient in key programming and AI tools like Python, MATLAB, C++, and deep learning libraries. With over five years of teaching experience at the undergraduate and graduate levels, both in the US and Sri Lanka, he is skilled in curriculum development and student mentorship. He is authorized to work in the US and is open to relocation.