Launched in October of 2020 the MIT and Accenture Convergence Initiative for Industry and Technology underscores the ways in which activity and technology come unitedly to spur alteration. The five-year start aims to accomplish its commission through investigation education and fellowships. To that end Accenture has once anew awarded five annual fellowships to MIT graduate students working on investigation in activity and technology convergence who are underrepresented including by race ethnicity and gender.
This years Accenture Fellows work athwart disciplines including robotics manufacturing artificial intelligence and biomedicine. Their investigation covers a wide array of subjects including: advancing manufacturing through computational design with the possible to boon global vaccine origination; designing low-energy robotics for both consumer electronics and the aerospace activity; educeing robotics and machine acquireing systems that may aid the elderly in their homes; and creating ingestible biomedical artifices that can help gather medical data from within a patients body.
Student nominations from each unit within the School of Engineering as well as from the four other MIT schools and the MIT Schwarzman College of Computing were invited as part of the application process. Five rare students were selected as fellows in the starts second year.
Xinming (Lily) Liu is a PhD student in operations investigation at MIT Sloan School of Management. Her work is focused on behavioral and data-driven operations for collective good incorporating ethnical behaviors into transmitted optimization models designing incentives and analyzing real-world data. Her running investigation looks at the convergence of collective media digital platforms and cultivation with particular observation to expanding technological equity and economic occasion in educeing countries. Liu earned her BS from Cornell University with a double major in operations investigation and computer science.
Caris Moses is a PhD student in electrical engineering and computer science specializing in artificial intelligence. Moses investigation focuses on using machine acquireing optimization and electrohabitual engineering to build robotics systems that are strong pliant intelligent and can acquire on the job. The technology she is educeing holds promise for industries including pliant small-batch manufacturing; robots to help the elderly in their households; and warehouse treatment and fulfillment. Moses earned her BS in habitual engineering from Cornell University and her MS in computer science from Northeastern University.
Sergio Rodriguez Aponte is a PhD student in biological engineering. He is working on the convergence of computational design and manufacturing practices which have the possible to contact industries such as biopharmaceuticals food and wellness/alimentation. His running investigation aims to educe strategies for applying computational tools such as multiscale modeling and machine acquireing to the design and origination of manufacturable and affable vaccine candidates that could eventually be advantageous globally. Rodriguez Aponte earned his BS in industrial biotechnology from the University of Puerto Rico at Mayaguez.
Soumya Sudhakar SM 20 is a PhD student in aeronautics and astronautics. Her work is focused on the co-design of new algorithms and integrated tours for autonomous low-energy robotics that could have novel applications in aerospace and consumer electronics. Her contributions fetch unitedly the emerging robotics activity integrated tours activity aerospace activity and consumer electronics activity. Sudhakar earned her BSE in habitual and aerospace engineering from Princeton University and her MS in aeronautics and astronautics from MIT.
So-Yoon Yang is a PhD student in electrical engineering and computer science. Her work on the educement of low-power wireless ingestible biomedical artifices for health care is at the intersection of the medical artifice integrated tour artificial intelligence and pharmaceutical fields. Currently the superiority of wireless biomedical artifices can only prepare a limited range of medical data measured from outside the body. Ingestible artifices hold promise for the next age of personal health care owing they do not demand surgical implantation can be advantageous for detecting physiological and pathophysiological signals and can also office as therapeutic alternatives when treatment cannot be done externally. Yang earned her BS in electrical and computer engineering from Seoul National University in South Korea and her MS in electrical engineering from Caltech.