Restructuring The MIT Department Of Electrical Engineering And Pc Science
As a part of the founding of the MIT Stephen A. Schwarzman College of Computing, the Department of Electrical Engineering and Laptop Science (EECS), the biggest academic unit at MIT, has been restructured to offer a stronger base for enhancing present applications, creating new alternatives, and increasing connections to different parts of the Institute.
Jointly a part of the varsity of Engineering and Schwarzman School of Computing, EECS is now composed of three overlapping sub-models in electrical engineering (EE), computer science (CS), and synthetic intelligence and resolution-making (AI+D), which brings together laptop science-heritage AI and machine learning with electrical engineering-heritage info and resolution programs to take advantage of their significant synergies. The division will stay responsible for Course 6.
The organizational plan for EECS was developed over the summer season based mostly on the final report of the Organizational Structure Working Group of the Computing Activity Pressure.
“It is difficult to think about a school of Engineering without electrical engineering and a School of Computing without laptop science. We anticipate that the creation of this new configuration will result in a highly collaborative strategy not solely within EECS, however throughout campus and throughout disciplines,” says Dan Huttenlocher, dean of the MIT Schwarzman Faculty of Computing.
The plan requires each of the models, termed a “faculty” to signify its differentiation from a standard tutorial construction, every managed by a head of the college to steer the respective space and to contribute to the general leadership of EECS, below the direction of the division head who will proceed to oversee cross-slicing matters. The three school heads and the EECS head will every report jointly to Huttenlocher and to Anantha Chandrakasan, dean of the MIT College of Engineering.
“This restructure will present extra autonomy to each unit,” says Chandrakasan. “The colleges will deal with college recruiting, mentoring, promotion, academic programs, and neighborhood constructing.”
Asu Ozdaglar, Distinguished Professor of Engineering, a principal investigator on the Laboratory for Data and Determination Systems, and the newly appointed deputy dean of teachers for the Faculty of Computing, will stay the top of EECS, a position she has held since 2018. Throughout her tenure, Ozdaglar has championed initiatives such as curriculum improvements to keep up with the ever-rising curiosity in computing, creation of recent joint majors resembling 6-14 (Laptop Science, Economics, and Data Science), and Rising Stars in EECS, a workshop for female graduate students and postdocs eager about pursuing educational careers in pc engineering and electrical engineering, amongst many others.
Joel Voldman, a professor of electrical engineering and laptop science and an associate department head at EECS, shall be the head of the college of electrical engineering. A principal investigator within the Analysis Laboratory of Electronics and the Microsystems Know-how Laboratories, Voldman’s research focus is on developing microfluidic technology for biology and medicine, with an emphasis on cell sorting and immunology. In addition, he co-developed two introductory EECS programs: 6.03 (Introduction to EECS through Medical Expertise) and 6.S08/6.08 (Interconnected Embedded Programs), and just lately helped revise 6.002 (Circuits and Electronics).
Arvind, the Charles W. and Jennifer C. Johnson Professor in Laptop Science and Engineering, will step into the function of head of the school of laptop science. Arvind’s analysis focuses on the specification and synthesis of advanced digital techniques, including microprocessors and accelerators, using a formalism generally known as guarded atomic actions. Manufacturing Electrical Engineering Houston Texas leads the Computation Constructions Group in the pc Science and Artificial Intelligence Laboratory (CSAIL), and is a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery. He was elected into the Nationwide Academy of Engineering in 2008 and the Academy for Arts and Sciences in 2012.
Antonio Torralba, the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science, has been named the top of the faculty of synthetic intelligence and choice-making. A principal investigator at CSAIL, a member of the center for Brains, Minds, and Machines, and director of the MIT Quest for Intelligence and MIT-IBM Watson AI Lab, Torralba is the recipient of the 2008 National Science Foundation Career award, the perfect scholar paper award on the IEEE Conference on Pc Vision and Sample Recognition in 2009, and the 2010 J.Okay. Aggarwal Prize from the International Affiliation for Pattern Recognition. In 2017, he acquired the Frank Quick School Research Innovation Fellowship and the Louis D. Smullin (’39) Award for Instructing Excellence.
An advisory search committee made up of EECS school members - Ozdaglar (chair), Hari Balakrishnan, Marc Baldo, Duane Boning, Tommi Jaakkola, Patrick Jaillet, Dina Katabi, Jing Kong, Tomas Lozano-Perez, Alan Oppenheim, Daniela Rus, Armando Photo voltaic-Lezama, Collin Stultz, Ryan Williams, and Daniel Hastings - was formed to identify candidates to guide all three units to assist information the 2 deans in selecting the heads.
Voldman, Arvind, and Torralba will begin their respective appointments on Jan. 1, 2020. Present Associate Division Head Saman Amarasinghe, an EECS professor and lead of the Commit compiler analysis group in CSAIL, will proceed in his function till the new heads start their positions.
“Thank you to everybody who served on the search committee and to Professer Amarasinghe for his tremendous leadership and contributions to EECS as an affiliate head. And please join us in congratulating Asu, Antonio, Arvind, and Joel for taking on these necessary new roles,” says Chandrakasan.
Jointly a part of the varsity of Engineering and Schwarzman School of Computing, EECS is now composed of three overlapping sub-models in electrical engineering (EE), computer science (CS), and synthetic intelligence and resolution-making (AI+D), which brings together laptop science-heritage AI and machine learning with electrical engineering-heritage info and resolution programs to take advantage of their significant synergies. The division will stay responsible for Course 6.
The organizational plan for EECS was developed over the summer season based mostly on the final report of the Organizational Structure Working Group of the Computing Activity Pressure.
“It is difficult to think about a school of Engineering without electrical engineering and a School of Computing without laptop science. We anticipate that the creation of this new configuration will result in a highly collaborative strategy not solely within EECS, however throughout campus and throughout disciplines,” says Dan Huttenlocher, dean of the MIT Schwarzman Faculty of Computing.
The plan requires each of the models, termed a “faculty” to signify its differentiation from a standard tutorial construction, every managed by a head of the college to steer the respective space and to contribute to the general leadership of EECS, below the direction of the division head who will proceed to oversee cross-slicing matters. The three school heads and the EECS head will every report jointly to Huttenlocher and to Anantha Chandrakasan, dean of the MIT College of Engineering.
“This restructure will present extra autonomy to each unit,” says Chandrakasan. “The colleges will deal with college recruiting, mentoring, promotion, academic programs, and neighborhood constructing.”
Asu Ozdaglar, Distinguished Professor of Engineering, a principal investigator on the Laboratory for Data and Determination Systems, and the newly appointed deputy dean of teachers for the Faculty of Computing, will stay the top of EECS, a position she has held since 2018. Throughout her tenure, Ozdaglar has championed initiatives such as curriculum improvements to keep up with the ever-rising curiosity in computing, creation of recent joint majors resembling 6-14 (Laptop Science, Economics, and Data Science), and Rising Stars in EECS, a workshop for female graduate students and postdocs eager about pursuing educational careers in pc engineering and electrical engineering, amongst many others.
Joel Voldman, a professor of electrical engineering and laptop science and an associate department head at EECS, shall be the head of the college of electrical engineering. A principal investigator within the Analysis Laboratory of Electronics and the Microsystems Know-how Laboratories, Voldman’s research focus is on developing microfluidic technology for biology and medicine, with an emphasis on cell sorting and immunology. In addition, he co-developed two introductory EECS programs: 6.03 (Introduction to EECS through Medical Expertise) and 6.S08/6.08 (Interconnected Embedded Programs), and just lately helped revise 6.002 (Circuits and Electronics).
Arvind, the Charles W. and Jennifer C. Johnson Professor in Laptop Science and Engineering, will step into the function of head of the school of laptop science. Arvind’s analysis focuses on the specification and synthesis of advanced digital techniques, including microprocessors and accelerators, using a formalism generally known as guarded atomic actions. Manufacturing Electrical Engineering Houston Texas leads the Computation Constructions Group in the pc Science and Artificial Intelligence Laboratory (CSAIL), and is a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery. He was elected into the Nationwide Academy of Engineering in 2008 and the Academy for Arts and Sciences in 2012.
Antonio Torralba, the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science, has been named the top of the faculty of synthetic intelligence and choice-making. A principal investigator at CSAIL, a member of the center for Brains, Minds, and Machines, and director of the MIT Quest for Intelligence and MIT-IBM Watson AI Lab, Torralba is the recipient of the 2008 National Science Foundation Career award, the perfect scholar paper award on the IEEE Conference on Pc Vision and Sample Recognition in 2009, and the 2010 J.Okay. Aggarwal Prize from the International Affiliation for Pattern Recognition. In 2017, he acquired the Frank Quick School Research Innovation Fellowship and the Louis D. Smullin (’39) Award for Instructing Excellence.
An advisory search committee made up of EECS school members - Ozdaglar (chair), Hari Balakrishnan, Marc Baldo, Duane Boning, Tommi Jaakkola, Patrick Jaillet, Dina Katabi, Jing Kong, Tomas Lozano-Perez, Alan Oppenheim, Daniela Rus, Armando Photo voltaic-Lezama, Collin Stultz, Ryan Williams, and Daniel Hastings - was formed to identify candidates to guide all three units to assist information the 2 deans in selecting the heads.
Voldman, Arvind, and Torralba will begin their respective appointments on Jan. 1, 2020. Present Associate Division Head Saman Amarasinghe, an EECS professor and lead of the Commit compiler analysis group in CSAIL, will proceed in his function till the new heads start their positions.
“Thank you to everybody who served on the search committee and to Professer Amarasinghe for his tremendous leadership and contributions to EECS as an affiliate head. And please join us in congratulating Asu, Antonio, Arvind, and Joel for taking on these necessary new roles,” says Chandrakasan.
Public Last updated: 2022-06-15 11:07:50 AM