Wednesday, November 16, 2022 | 9:00am – 12:00pm ET
Multiple Speakers

Please register by email to Elizabeth Green (ebgreen@mit.edu) to receive the Zoom information.

At this virtual event, join the MIT and MTL (Microsystems Technology Laboratories) communities in presentations of cutting edge research during this half day virtual symposium, on the morning of November 16.

MTL is predicated on the notion that nanoscale science and technology can help solve some of the world’s greatest problems in areas of energy, communications, water, health, information, and transportation, among others. In this regard, MTL’s mission is to foster world-class research, education, and innovation at the nanoscale.

AGENDA

 

Time (ET) Event
9:00 Opening Remarks
Hae-Seung ‘Harry’ Lee, Director of Microsystems Technology Laboratories, and Professor, Department of Electrical Engineering and Computer Science
9:05 Active Surfaces
Vladimir Bulović, Director, MIT.nano and Professor, Department of Electrical Engineering and Computer Science
9:15 Active Solar Surfaces
Mayuran Saravanapavanantham, PhD Student, Department of Electrical Engineering and Computer Science
9:35 Active Acoustic Surfaces
Jinchi Han, Postdoctoral Researcher, Department of Electrical Engineering and Computer Science
9:55 Research Overview
Hae-Seung ‘Harry’ Lee, Director of Microsystems Technology Laboratories, and Professor, Department of Electrical Engineering and Computer Science
10:05 Absolute Blood Pressure Monitoring via Ultrasound Signals
Anand Chandrasekhar, Postdoctoral Associate, Microsystems Technology Laboratories
10:35 Computational Accelerators for Optimization Problems
Marc Baldo, Professor, Department of Electrical Engineering and Computer Science
10:45 Nanomagnetic Probabilistic Bits for Hardware-Accelerated Neuromorphic Computing
Brooke McGoldrick, PhD Student, Department of Electrical Engineering and Computer Science
11:15 Keynote Introduction
Jesús del Alamo, Donner Professor, Department of Electrical Engineering and Computer Science
11:20 Devices and Algorithms for Analog Deep Learning
Murat Onen, Postdoctoral Researcher, Microsystems Technology Laboratories
11:55 Technical Symposium Concludes

Speakers