天美传媒

Dr. Maurizio Porfiri is an Institute Professor at New York University Tandon School of Engineering, with appointments at the Center for Urban Science and Progress and the Departments of Mechanical and Aerospace Engineering, Biomedical Engineering, and Civil and Urban Engineering. He received M.Sc. and Ph.D. degrees in Engineering Mechanics from Virginia Tech, in 2000 and 2006; a 鈥淟aurea鈥� in Electrical Engineering (with honors) and a Ph.D. in Theoretical and Applied Mechanics from the University of Rome 鈥淟a Sapienza鈥� and the University of Toulon (dual degree program), in 2001 and 2005, respectively. He has been on the faculty of the Mechanical and Aerospace Engineering Department since 2006, when he founded the Dynamical Systems Laboratory.

Dr. Porfiri is a Fellow of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronic Engineers (IEEE). He has served in the Editorial Board of ASME Journal of Dynamics systems, Measurements and Control, ASME Journal of Vibrations and Acoustics, Flow, IEEE Control Systems Letters, IEEE Transactions on Circuits and Systems I, Mathematics in Engineering, and Mechatronics. Dr. Porfiri is engaged in conducting and supervising research on complex systems, with applications from mechanics to behavior, public health, and robotics.

He is the author of more than 350 journal publications and the recipient of the National Science Foundation CAREER award. He has been included in the 鈥淏rilliant 10鈥� list of Popular Science in 2010 and his research featured in all the major media outlets, including CNN, NPR, Scientific American, and Discovery Channel. Other significant recognitions include invitations to the World Laureate Forum and to Frontiers of Engineering Symposia organized by National Academy of Engineering; the Outstanding Young Alumnus award by the College of Engineering of Virginia Tech; the ASME Gary Anderson Early Achievement Award; the ASME DSCD Young Investigator Award; and the  ASME C.D. Mote, Jr. Early Career Award.

Prof. Loianno is an assistant professor at the New York University and director of the Agile Robotics and Perception Lab working on autonomous Micro Aerial Vehicles. Prior to NYU he was a lecturer, research scientist, and team leader at the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania. He received his BSc and MSc degrees in automation engineering, both with honors, from the University of Naples "Federico" in December 2007 and February 2010, respectively. He received his PhD in computer and control engineering focusing in robotics in May 2014. Dr. Loianno has published more than 70 conference papers, journal papers, and book chapters. His research interests include visual odometry, sensor fusion, and visual servoing for micro aerial vehicles. His expertise is in the area of agile autonomy for small-scale aircrafts. He received the Conference Editorial Board Best Reviewer Award at ICRA 2016, National Italian American Foundation (NIAF) Young Investigator Award 2018. He was the program chair for IEEE SSRR 2019, 2020, and will be the general chair for SSRR 2021. He has organized multiple workshops on Micro Aerial Vehicles during IROS conferences and created the new International Symposium on Aerial Robotics (ISAR). His work has been featured in a large number of renowned international news and magazine.

Prof. Valdevit received his MS degree (Laurea) in Materials Engineering from the University of Trieste, Italy (in 2000) and his PhD degree in Mechanical and Aerospace Engineering from Princeton University (in 2005). He worked as an intern at the IBM T.J. Watson Research Center and as a post-doctoral scholar at the University of California, Santa Barbara. He joined the faculty in the Mechanical and Aerospace Engineering Department at the University of California, Irvine in 2007. In 2018, he moved his appointment to the newly established Department of Materials Science and Engineering, where is currently a professor. He is serving as the inaugural director of the Institute for Design and Manufacturing Innovation in the School of Engineering.

Prof. Valdevit works in the general area of mechanics of materials, developing analytical, numerical and experimental techniques across multiple length scales. His primary research goal is the optimal design, modeling, fabrication and experimental characterization of metamaterials and structures with unprecedented combinations of properties. Some key research accomplishments have been the development and optimization of multifunctional sandwich panels for thermo-structural applications (including hypersonics), the mechanical characterization, numerical modeling and optimal design of ultralight hollow micro-lattices and 2D and 3D shape-reconfigurable materials, the development of novel topology optimization algorithms for the optimal design of architected materials with complex unit cell designs, and the advancement of novel additive manufacturing processes (in particular two-photon polymerization Direct Laser Writing, Direct Metal Laser Sintering and Cold Spray).

Gravish’s research focuses on better understanding the challenges of movement and manipulation in micro-scale robotic and biological systems. Current understanding of locomotion and manipulation in micro-scale systems lags behind our ability to create devices at these scales (i.e. microrobots). We also lack an intuitive understanding of the strategies animals use for movement and manipulation at these scales.  To bridge this knowledge gap between manufacturing and movement, Gravish studies high-speed, robust and agile locomotion in microscale biological systems such flying and running insects and looks for the principles of dynamic locomotion at the micro-scale. In addition, Gravish manufactures at-scale microrobots to test locomotion and manipulation hypotheses. His research takes an integrative approach, through quantitative biology experiments and robotics manufacturing and experiments, based on the mechanics driving the interaction between the animals and their environment when they move. He aims to discover principles for robust movement in complex environments with limited sensing and control. Gravish’s overarching goal is to expand our knowledge of movement and manipulation capabilities in micro-scale biological and robotic systems through novel manufacturing and experiments.