School of Engineering welcomes new faculty | MIT News

Cortez Deacetis

The College of Engineering is welcoming 15 new school members to its departments, institutes, labs, and centers. With study and educating functions ranging from the growth of robotics and AI systems to the modeling and optimization of renewable vitality systems, they are poised to make significant contributions in new directions across the college and to a wide assortment of analysis initiatives around the Institute.

“I am delighted to welcome our excellent new faculty,” claims Anantha Chandrakasan, dean of the School of Engineering. “Their abilities and abilities as educators, scientists, collaborators, and mentors will enrich the engineering neighborhood and improve our world impression.”

Among the the new college members are 8 from the Section of Electrical Engineering and Pc Science (EECS), which jointly studies into the College of Engineering and the MIT Stephen A. Schwarzman School of Computing.

Navid Azizan will sign up for the MIT school with dual appointments in the Section of Mechanical Engineering and the Institute for Details, Devices, and Society (IDSS) as an assistant professor in September. He is presently a postdoc in the Autonomous Programs Laboratory at Stanford College. He been given his PhD in computing and mathematical sciences from Caltech in 2020, his MS from the College of Southern California in 2015, and his BS from Sharif University of Engineering in 2013. Also, he was a investigation intern at Google DeepMind in 2019. Azizan’s investigate interests broadly lie in device discovering, regulate theory, mathematical optimization, and community science. He has created basic contributions to a variety of elements of intelligent systems, like the design and examination of optimization algorithms for nonconvex and networked difficulties with apps to the good grid, dispersed computation, epidemics, and autonomy. Azizan’s get the job done has been regarded by numerous awards, like the 2020 Data Principle and Programs (ITA) Graduation-Day Gold Award. He was named an Amazon Fellow in Synthetic Intelligence in 2017 and a PIMCO Fellow in Data Science in 2018. His investigation on energy marketplaces been given the ACM GREENMETRICS Greatest College student Paper Award in 2016. He was also the initially-place winner and a gold medalist at the 2008 Nationwide Physics Olympiad in Iran. He co-organizes the well-liked “Control fulfills Learning” digital seminar collection.

Rodrigo Freitas joined the Office of Supplies Science and Engineering (DMSE) in January as the AMAX Assistant Professor. He been given his BS and MS degrees in physics from the College of Campinas in Brazil, and MS and PhD degrees in components science and engineering from the College of California at Berkeley, adopted by postdoctoral work at Stanford University. Throughout his PhD, he was also a Livermore Graduate Scholar in the Products Science Division of the Lawrence Livermore Countrywide Laboratory. He makes use of a mixture of theoretical, computational, and knowledge-driven methods to review the mechanisms of microstructure evolution in resources. This investigate region is crucial to understand and manage resources kinetics at the microstructure stage, and it has broad likely impact and application, which will guide to collaborations across DMSE and in the MIT Stephen A. Schwarzman School of Computing.

Marzyeh Ghassemi will sign up for the Institute for Health care Engineering and Science and the Division of Electrical Engineering and Pc Science as an assistant professor in July. She been given her PhD in pc science from MIT her MS in biomedical engineering from Oxford University and two BS degrees, in electrical engineering and computer science, from New Mexico Point out College. Her study focuses on making and applying machine studying to human health and fitness advancement. Ghassemi’s do the job has been revealed in major conferences and journals including NeurIPS, FaCCT, The Lancet Electronic HealthJAMA, the AMA Journal of Ethics, and Mother nature Drugs, and featured in media shops these types of as MIT News, NVIDIA, and the Huffington Post. A British Marshall Scholar and American Goldwater Scholar who has concluded graduate fellowships at corporations including Xerox and the NIH, Ghassemi has been named a person of MIT Technological innovation Review’s 35 Innovators Under 35. Ghassemi organized MIT’s 1st Hacking Discrimination occasion and was awarded MIT’s 2018 Seth J. Teller Award for Excellence, Inclusion and Range. She also is on the Senior Advisory Council of Ladies in Equipment Understanding (WiML) and founded the ACM Conference on Wellness, Inference and Discovering (ACM CHIL).

Dylan Hadfield-Menell will be a part of the Section of Electrical Engineering and Computer system Science as an assistant professor in July. Hadfield-Menell acquired his PhD in computer science from the College of California at Berkeley, and his MS and BS (equally in laptop science and electrical engineering) from MIT. His study focuses on the price alignment dilemma in synthetic intelligence, and aims to aid build algorithms that go after the intended ambitions of their people. He is also interested in function that bridges the hole concerning AI theory and functional robotics, and the dilemma of integrated process and motion organizing. Hadfield-Menell is an NSF Graduate Research Fellowship Recipient and a Berkeley Fellow, with many meeting papers revealed in the AAAI/ACM Conference on AI, Ethics, and Culture and the ACM/IEEE Intercontinental Conference on Human-Robot Interaction, between other people. He was the complex direct on The Long term Commences Listed here Exhibit for the Victoria and Albert Museum, and has interned at Fb and Microsoft.

Jack Hare joined the Division of Nuclear Science and Engineering as an assistant professor in January. He acquired his BA (2010) and his MS (2011) in organic sciences from the University of Cambridge, his MA in plasma physics from Princeton University in 2013, and his PhD in plasma physics from Imperial College London in 2017. Soon after his PhD, he held postdoc appointments at Imperial University London, where by he has investigated magnetized turbulence in large-power-density plasmas, and at the Max-Planck Institute for Plasma Physics, where by he labored on the layout of diagnostics for the ITER fusion reactor job. At MIT, his research will concentration on fundamental plasma processes in magnetized large electrical power density plasmas, such as magnetic reconnection and magneto-hydrodynamic turbulence. These plasmas are established working with extreme pulses of electrical current created by the new PUFFIN pulsed-electrical power facility, hosted on campus at the Plasma Science and Fusion Middle.

Samuel Hopkins will join the Office of Electrical Engineering and Personal computer Science as an assistant professor in January 2022. Hopkins gained his PhD in laptop or computer science from Cornell College, and his BS in computer system science and mathematics from the College of Washington. His research focuses on algorithms, optimization, and theoretical machine mastering, in particular via the lens of convex programming relaxations. He is a Miller Fellow, an NSF Graduate Analysis Fellow, a Microsoft Research Fellow, and has won the Cornell Pc Science Dissertation Award. Hopkins’ publications incorporate papers in FOCSSTOC, and the Annals of Data. Prior to coming to MIT, Hopkins was a Miller Fellow in the idea group at the University of California at Berkeley.

Michael F. Howland will be a part of the division of Civil and Environmental Engineering as an assistant professor in September. At present he is a postdoc at Caltech in the Office of Aerospace Engineering. He acquired his BS from Johns Hopkins University and his MS from Stanford College, the two in mechanical engineering. He been given his PhD from Stanford College in the Division of Mechanical Engineering. His analysis encompasses the move physics of Earth’s environment and the modeling, optimization, and handle of renewable energy generation techniques. Howland’s perform is targeted at the intersection of fluid mechanics, weather conditions and climate modeling, uncertainty quantification, and optimization and manage with an emphasis on renewable vitality systems. He uses synergistic techniques like simulations, laboratory and field experiments, and modeling to have an understanding of the operation of renewable strength systems, with the target of bettering the performance, predictability, and reliability of minimal-carbon vitality era. He was the receiver of the Robert George Gerstmyer Award, the Creel Spouse and children Teaching Award, and the James F. Bell Award from Johns Hopkins University. He acquired the Tau Beta Pi scholarship, NSF Graduate Analysis Fellowship, and a Stanford Graduate Fellowship.

Yoon Kim will be part of the Section of Electrical Engineering and Pc Science as an assistant professor in July. Currently a investigation scientist at the MIT-IBM Watson AI Lab, Kim gained a PhD in computer science from Harvard College, an MS in info science from New York University, an MA in studies from Columbia, and dual BA levels in arithmetic and economics from Cornell University. Kim’s exploration focuses on machine finding out and organic language processing. He is the receiver of a Google Fellowship.

Adrián Lozano-Duran joined the Department of Aeronautics and Astronautics at MIT as an Assistant Professor in January. He obtained his PhD in aerospace engineering from the Complex College of Madrid in 2015 on the use of graph principle to unravel the dynamics of chaotic styles in fluids. From 2016 to 2020, he was a postdoc at Stanford University doing the job on higher-fidelity simulations of external aerodynamic purposes. His study is centered on solving superb difficulties in physics and modeling of turbulent flows employing transformative resources and creative imagination. His function incorporates turbulence theory and modeling by synthetic intelligence, details principle, and quantum computing, with purposes ranging from unmanned aerial cars and business airliners to hypersonic automobiles. He is the receiver of the Milton van Dyke Award from the American Actual physical Society (2017), the Middle for Turbulence Analysis Fellowship from Stanford College (2016), and the Da Vinci Award for the leading five European dissertations on Fluid Mechanics (2015).

Kelly A. Metcalf Pate joined the Section of Organic Engineering as an assistant professor and director of the Division of Comparative Drugs in March. As director of DCM, Pate will oversee the group of veterinarians and employees who provide as experts in animal styles for the MIT community. Pate’s investigation focuses on the function of platelets in the pathogenesis of viral infection, with an emphasis on HIV and cytomegalovirus, and on the refinement and advancement of animal styles. 

Anand Natarajan joined the Division of Electrical Engineering and Personal computer Science as an assistant professor in September 2020. Natarajan received his PhD in physics from MIT, and an MS in laptop or computer science and BS in physics from Stanford University. Natarajan’s interests centre upon theoretical quantum details, significantly nonlocality (e.g., Bell inequalities and nonlocal game titles), quantum complexity idea (primarily the ability of quantum interactive proof units), and semidefinite programming hierarchies. He is the co-winner of the Most effective Paper Award at FOCS ’19 for paper NEEXP ⊆ MIP*, with John Wright, and is a gold medalist in the International Physics Olympiad. His convention papers have been published in the Proceedings of ITCS, Proceedings of FOCS, and Proceedings of CCC, between other individuals. Ahead of joining MIT, Natarajan was a postdoc at the Institute for Quantum Data and Matter at Caltech.

Jelena Notaros joined the Office of Electrical Engineering and Personal computer Science in June 2020 as an assistant professor, a principal investigator in the Investigate Laboratory of Electronics, and a main faculty member of the Microsystems Technology Laboratories. Notaros acquired her PhD and MS degrees from MIT in 2020 and 2017, respectively, and BS diploma from the College of Colorado Boulder in 2015. Her investigation interests are in integrated silicon photonics gadgets, devices, and applications, with an emphasis on built-in optical phased arrays for lidar and augmented actuality. Notaros was a Major-A few DARPA Riser, a 2018 DARPA D60 Plenary Speaker, a 2021 Forbes 30 Beneath 30 Listee, a 2020 MIT RLE Early Career Development Award recipient, an MIT Presidential Fellow, a Countrywide Science Foundation Graduate Analysis Fellow, a 2019 OSA CLEO Chair’s Decide on Award recipient, a 2014 IEEE R5 University student Paper Level of competition To start with Position Award recipient, a 2019 MIT MARC Very best Paper Award receiver, a 2018 MIT EECS Rising Star, and a 2015 CU Boulder Chancellor’s Recognition Award recipient, amongst other honors.

Carlos Portela joined the Section of Mechanical Engineering as an assistant professor in August 2020. He been given his PhD in mechanical engineering from Caltech in 2019. He was a postdoc at Caltech beneath the guidance of professors Julia Greer, Dennis Kochmann, and Chiara Daraio. Portela’s research lies at the intersection of components science, mechanics, and nano-to-macro fabrication with the aim of designing and screening novel products — with attributes spanning from nanometers to centimeters — that generate unprecedented mechanical, optical, and acoustic qualities. His the latest achievements have presented routes for fabrication of these so-called “nano-architected resources” in scalable processes as nicely as testing nanomaterials in serious-world ailments these types of as supersonic effect, in collaboration with scientists at MIT’s Institute for Soldier Nanotechnologies. His existing application spots require the generation of novel light-weight armor materials, ultrasonic units for medical functions, and new generations of extremely-solid structural elements. Portela is the recipient of numerous awards which include the Gold Paper Award at the Modern society of Engineering Science Conference in 2019, the Centennial Award for the Ideal Thesis in Mechanical and Civil Engineering at Caltech, and the Caltech Rolf H. Sabersky Graduate Fellowship.

Ashia Wilson joined the Department of Electrical Engineering and Personal computer Science as an assistant professor in January. Wilson gained her PhD in figures from the University of California at Berkeley, and her BA in applied arithmetic from Harvard College. Her investigate facilities upon optimization, algorithmic choice-creating, dynamical units, and fairness in big-scale machine learning. A Nationwide Science Foundation Graduate Exploration Fellow, Wilson has gained the NeurIPS ’17 Highlight Paper Award forThe Marginal Benefit of Adaptive Strategies in Device Mastering,” and has done research with Microsoft and Google AI. Her papers have been printed in the Proceedings of the National Academy of Science, Advances in Neural Data Processing Systems, and the International Meeting of Machine Studying, amid many others. Also, she has served as a reviewer for NeurIPS and the Journal of Equipment Mastering.

Sixian You joined the Office of Electrical Engineering and Computer system Science as an assistant professor in March. You acquired her PhD and MS in bioengineering from the College of Illinois at Urbana-Champaign, and her BS in optical and electronic info from Huazhong College of Science and Technological innovation. Her study pursuits are biophotonics, microscopy, and computational imaging. She has won the Microscopy Innovation Award and the Nikon Photomicrography Opposition Image of Difference award, and her get the job done has been showcased on the PNAS deal with and as a Nature Communications Editors’ Spotlight, amongst other honors. The You Lab focuses on building optical imaging resources to permit noninvasive, further, a lot quicker, and richer visualization of dynamic biological processes and sickness pathology. She was just lately a postdoc at the University of California at Berkeley, and has been an engineer intern for Apple.

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