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
Hae-Seung (Harry) Lee
Analog-to-digital converters, CMOS technologies
Vladimir Bulović
Composite materials, Novel nanostructured devices
Mayuran Saravanapavanantham
Thin-film optoelectronics, Scalable functional prototypes
Jinchi Han
Nanoelectromechanical relays, Energy-efficient logic devices
Anand Chandrasekhar
Intelligent sensors, Healthcare technologies
Marc Baldo
Optoelectronics, Digital logic, Nanostructured electronics
Brooke McGoldrick
Nano-fabrication, Nanomagnetic oscillator devices
Jesús del Alamo
Nanoscale synaptic devices: physics, technology, modeling
Murat Onen
Analog deep learning, Resistors and Accelerators
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