Past Students

Damien Martin

Damien joined the group in September 2019, and received his M.Eng in EECS at MIT. He earned his B.S. from MIT in 2017. His current research focuses on automated fault detection in manufacturing systems. His other research interests include deep reinforcement learning and feedback control systems.

Chris Lang

Chris joined the group in June 2015, and received his M.Eng. and Ph.D. in EECS at MIT. Chris earned his S.B. from MIT in May 2015. His project focused on characterization and modeling of novel interconnect processes for 2.5D IC integration and packaging.

Sally El-Henawy

Sally joined the group in Fall 2016, and received her Ph.D. in EECS at MIT. She earned her B.S. (2012) and M.S. (2016) from Ain Shams University, Egypt. Her research interests include antennas, metamaterials, electromagnetics, light harvesting and silicon photonics.

Hongge Chen

Hongge joined the group in September 2015, and received his S.M. and Ph.D. degrees in EECS at MIT. His interests include machine learning and modeling approaches for advanced IC technology. He graduated from Tsinghu University with a B.S. in 2015.

David Amirault

David joined the group in September 2019, and he is pursuing his B.S. in Computer Science and Mathematics and his M.Eng. in Computer Science at MIT. His M.Eng. project is focused on graph neural network architectures for spatiotemporal modeling of traffic in modern semiconductor fabrication plants.

Germain Martinez

Germain joined the group in June 2016, and recieved his M.Eng. in EECS at MIT in February 2018. Germain earned his S.B. from MIT in May 2016. His current research focuses on characterization and statistical modeling of silicon photonic devices.

Daniel Moon

Daniel joined the group in September 2016, and is working toward his M.Eng. in EECS at MIT. Daniel earned his S.B. from MIT in May 2016. His current research focuses on characterization of photonic performance parameters on silicon by use of test photonic ICs.

John Haeseon Lee

John joined the group in September of 2009, and completed his Ph.D. degree in EECS at MIT in June 2016. John received his B.S. in electrical and computer engineering at Cornell University in 2006. From 2006 to 2009, he worked at Advanced Micro Devices as an analog and mixed signal circuit designer working on phase-locked loops for serial IO applications. His Master’s research at MIT was in measurement and characterization circuits for MEMS resonators. For his Ph.D., John is exploring novel medical electronic devices and technology, including an ultrasonic pill concept, and ultrasonics for cell and small particle measurement. After graduating from MIT, John enrolled in the University of Chicago Medical School.

Hayden Taylor

Hayden completed his Ph.D. in Electrical Engineering and Computer Science at MIT in September 2009, and was a postdoctoral associate at MTL in 2009. His interests at MIT involved inventing and modeling micro- and nano-manufacturing techniques, with a particular emphasis on the use of polymers for making microfluidic devices. Among the processes that he studied and modeled were thermoplastic micro-embossing, nanoimprint lithography, and the plasma-activated bonding of thermoplastics. Hayden also investigated pattern dependencies in the deep reactive ion etching of silicon and explored the use of diffractive test-structures for the in-line monitoring of polymer micro-manufacturing processes. He received his B.A. and M.Eng. degrees from Cambridge University. In January 2014, Hayden joined the University of California at Berkeley as an Assistant Professor of Mechanical Engineering.

Cai GoGwilt

Cai completed his M.Eng. degree in Electrical Engineering and Computer Science at MIT in June 2011. He also received undergraduate degrees in Computer Science and Physics from MIT in June 2010. At the Microsystems Technology Lab, Cai’s research focused on simulation techniques for modeling nanoimprint lithography processes. After graduating from MIT, Cai joined Palantir Technologies as a software engineer.

Wei Fan

Wei joined the Statistical Metrology group in September of 2007, and graduated with a Ph.D. in Electrical Engineering and Computer Science in September 2012. He got his B.S. degree in Microelectronics and M.S. degree in Microelectronics and Solid-state Electronics from Peking University (Beijing, China) in 2004 and 2007. In 2003, Wei joined National Key Laboratory of Micro/Nano Fabrication Technology of Peking University, where he worked on MEMS/NEMS fabrication. He developed a novel method for convex corner compensation in KOH etching on (100) silicon wafers in 2004. The patent of this method was issued in 2006. In 2005, he worked on nano structure fabrication and mechanical properties test. He integrated nano structures with Si MEMS devices and demonstrated the nano beam spring constant test with nanoindenter in 2006. At MIT, Wei’s research interests included design and modeling of IC and MEMS processes, with particular focus on on CMP and ECMP modeling and variation analysis. He is also interested in micro/nano structure properties test and MEMS/NEMS devices design. After graduating from MIT, he joined Cabot Microelectronics.
 

Albert Chang

Albert completed his Ph.D. degree at MIT in Electrical Engineering & Computer Science (EECS) in June 2013. His research focused is on the investigation of process variation in advanced CMOS techonology and the design for manufacturing, with particular focus on SAR ADC design. His other research interests include digital integrated circuits, analog/mix-signal integrated circuits, nanometer-scale semiconductor devices, device modeling, and communication systems. Before joining MIT, he received his B.S. degree in EECS from the University of California, Berkeley (CAL) in 2007. After graduating from MIT, he joined Maxim Integrated.

Karthik Balakrishnan

Karthik completed his Ph.D. in Electrical Engineering and Computer Science at MIT in October 2011. He received his B.S. in Computer Engineering from the Georgia Insitute of Technology in 2004 and his S.M. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2006. Karthik’s research work at MIT focused on the analysis, measurement, and modeling of variability in advanced devices as well as mixed-signal/digital circuits. He is also interested in the design of variation-tolerant circuits and microarchitectural blocks. After graduating from MIT, he joined IBM Watson Research.

Li Yu

Li joined the Statistical Metrology group in September of 2009 and completed his Ph.D. degree in EECS at MIT in March 2015. His research focused on characterizing and modeling process variation in advanced CMOS technology. He also worked on analog/mix-signal integrated circuits, solid state device physics and high speed circuit simulation. Before coming to MIT, Li received a B.E. degree in Microelectronics from Tsinghua University with honors and a focus on on-chip inductor modeling. After graduating from MIT, Li joined Facebook.

Joy Johnson

Joy earned her Ph.D. in Electrical Engineering and Computer Science at MIT in June 2015. She is a graduate of North Carolina State University (2007) with degrees in Computer Engineering and Electrical Engineering. She was also an NSF Fellow and an MIT Presidential Fellow. Joy’s research interests include novel fabrication methods, process modeling, and devices in the area of nanotechnology and semiconductor manufacturing, with particular focus on chemical-mechanical polishing (CMP).

Hyun Ho Boo

Hyun joined the group in September of 2012, and completed his Ph.D. degree in EECS at MIT in June 2015. His research focused on advanced ADC circuit design. He was co-advised by Prof. Harry Lee. Upon graduating from MIT, he joined a startup, Omni Design Technologies, Inc.