First name,Last name,Preferred title,Overview,Position,Department,Individual
Shawna,Thomas,Instructional Assistant Professor,"Randomized motion planning algorithms can be applied to any type of robot, from simple rigid bodies to complex articulated linkages. We abstract the particular motion planning problem into configuration space (C-space) where each point in C-space represents a particular configuration/placement of the robot. Invalid configurations (e.g., in-collision, high energy) become C-obstacles in this higher dimensional space. We then use randomized sampling to construct a graph or tree in C-space and use this data structure to extract feasible trajectories. We explore different general purpose techniques to improve planner performance as well as applications to computational biology.",Instructional Assistant Professor||Faculty Affiliate,Computer Science and Engineering||Institute for Engineering Education and Innovation,https://scholars.library.tamu.edu/vivo/display/n02d5b614
Arun,Srinivasa,Professor,"My research focuses on plasticity of metals and polymers; thermomechanics of dissipative processes, dislocation dynamics, Cosserat continua, design and dynamics of compliant mechanisms.",Professor||Faculty Affiliate,Mechanical Engineering||Institute for Engineering Education and Innovation,https://scholars.library.tamu.edu/vivo/display/n3b0f1d01
Raymundo,Arroyave,Professor,"Dr. Arroyave obtained his BS degrees in Mechanical and Electrical Engineering from the Instituto Tecnol?gico y de Estudios Superiores de Monterrey (M?xico) in 1996. He got his MS in Materials Science and Engineering in 2000 and his PhD in Materials Science in 2004 from MIT. After a postdoc at Penn State, he joined the Department of Mechanical Engineering at Texas A&M University in 2006. He is currently a Professor in the Department of Materials Science and Engineering and holds courtesy appointments in the Departments of Mechanical Engineering and Industrial and Systems Engineering
Dr. Arroyave's area of expertise is in the field of computational materials science, with emphasis in computational thermodynamics and kinetics of materials. He and his group use different techniques across multiple scales to predict and understand the behavior of inorganic materials (metallic alloys and ceramics). The techniques range from ab initio methods, classical molecular dynamics, computational thermodynamics as well as phase-field simulations. Dr. Arroyave's group recent focus has been on simulation and data-enabled materials discovery and design in a wide range of contexts, including Additive Manufacturing.
Dr. Arroyave has been co-author of more than 250 publications in peer-reviewed journals, 20 conference proceedings as well as close to 120 conference papers and >130 invited talks in the US and abroad. He is the recipient of several awards, including NSF CAREER Award (2010), TMS Early Career Faculty Fellow (2012, Honorable Mention), TMS Brimacombe Medal (2019), ASM Fellow (2020), Acta Materialia Silver Medal (2023). He has been named Texas A&M Presidential Impact Fellow (2017) and Texas A&M University System Chancellor EDGES Fellow (2019). He currently holds the Segers Family Dean's Excellence Professorship.
He is an Associate Editor of Materials Letters, Integrating Materials and Manufacturing Innovation (IMMI) and the Journal of Phase Equilibria and Diffusion. He is involved in ASM and TMS, having served as Chair of the ASM Alloy Phase Diagram Committee, Chair of the TMS Functional Materials Division as well as member of the Board of Directors of TMS. He has chaired or co-chaired more than 20 symposia and has been the lead organizer and co-organizer of several international conferences.",Faculty Affiliate||Professor||Professor||Professor||Faculty Affiliate,Mechanical Engineering||Energy Institute||Materials Science and Engineering||Industrial and Systems Engineering||Institute for Engineering Education and Innovation,https://scholars.library.tamu.edu/vivo/display/n763870af