Launched in October 2020, the MIT and Accenture Convergence Initiative for Business and Know-how underscores the methods through which trade and expertise can collaborate to spur innovation. The five-year initiative goals to attain its mission by analysis, schooling, and fellowships. To that finish, Accenture has as soon as once more awarded 5 annual fellowships to MIT graduate college students engaged on analysis in trade and expertise convergence who’re underrepresented, together with by race, ethnicity, and gender.
This 12 months’s Accenture Fellows work throughout analysis areas together with telemonitoring, human-computer interactions, operations analysis, AI-mediated socialization, and chemical transformations. Their analysis covers a big selection of tasks, together with designing low-power processing {hardware} for telehealth functions; making use of machine studying to streamline and enhance enterprise operations; bettering psychological well being care by synthetic intelligence; and utilizing machine studying to know the environmental and well being penalties of advanced chemical reactions.
As a part of the applying course of, pupil nominations have been invited from every unit inside the Faculty of Engineering, in addition to from the Institute’s 4 different colleges and the MIT Schwarzman Faculty of Computing. 5 distinctive college students have been chosen as fellows for the initiative’s third 12 months.
Drew Buzzell is a doctoral candidate in electrical engineering and laptop science whose analysis considerations telemonitoring, a fast-growing sphere of telehealth through which data is collected by internet-of-things (IoT) related gadgets and transmitted to the cloud. Presently, the excessive quantity of data concerned in telemonitoring — and the time and vitality prices of processing it — make information evaluation troublesome. Buzzell’s work is targeted on edge computing, a brand new computing structure that seeks to deal with these challenges by managing information nearer to the supply, in a distributed community of IoT gadgets. Buzzell earned his BS in physics and engineering science and his MS in engineering science from the Pennsylvania State College.
Mengying (Cathy) Fang is a grasp’s pupil within the MIT Faculty of Structure and Planning. Her analysis focuses on augmented actuality and digital actuality platforms. Fang is creating novel sensors and machine parts that mix computation, supplies science, and engineering. Transferring ahead, she’s going to discover matters together with tender robotics methods that may very well be built-in with garments and wearable gadgets and haptic suggestions with a purpose to develop interactions with digital objects. Fang earned a BS in mechanical engineering and human-computer interplay from Carnegie Mellon College.
Xiaoyue Gong is a doctoral candidate in operations analysis on the MIT Sloan Faculty of Administration. Her analysis goals to harness the facility of machine studying and information science to scale back inefficiencies within the operation of companies, organizations, and society. With the assist of an Accenture Fellowship, Gong seeks to seek out options to operational issues by designing reinforcement studying strategies and different machine studying methods to embedded operational issues. Gong earned a BS in honors arithmetic and interactive media arts from New York College.
Ruby Liu is a doctoral candidate in medical engineering and medical physics. Their analysis addresses the rising pandemic of loneliness amongst older adults, which results in poor well being outcomes and presents significantly excessive dangers for traditionally marginalized folks, together with members of the LGBTQ+ neighborhood and folks of shade. Liu is designing a community of interconnected AI brokers that foster connections between consumer and agent, providing psychological well being care whereas strengthening and facilitating human-human connections. Liu acquired a BS in biomedical engineering from Johns Hopkins College.
Joules Provenzano is a doctoral candidate in chemical engineering. Their work integrates machine studying and liquid chromatography-high decision mass spectrometry (LC-HRMS) to enhance our understanding of advanced chemical reactions within the surroundings. As an Accenture Fellow, Provenzano will construct upon current advances in machine studying and LC-HRMS, together with novel algorithms for processing actual, experimental HR-MS information and new approaches in extracting structure-transformation guidelines and kinetics. Their analysis might velocity the tempo of discovery within the chemical sciences and advantages industries together with oil and fuel, prescribed drugs, and agriculture. Provenzano earned a BS in chemical engineering and worldwide and world research from the Rochester Institute of Know-how.
