Professor Max Shulaker
Professor Max Shulaker joined the EECS department as an assistant professor in July 2016. He joined MTL as a core member and is also a resident member in MTL with his office in building 39. He received his B.S., M.S., and Ph.D. from Stanford University in Electrical Engineering. During his Ph.D., his research on carbon nanotube-based transistors and circuits resulted in the first digital systems built entirely using carbon nanotube FETs (including the first carbon nanotube microprocessor), the first monolithic three-dimensional integrated circuits combining arbitrary vertical stacking of logic and memory, and the highest performance and highly-scaled carbon nanotube transistors to-date.
As a new faculty member, Max aims to drive nanosystems to both improve computing at the heart of information technology through new approaches (e.g. new system architectures directly enabled by new nanotechnologies). He plans to leverage the richness of new nanomaterials, new computing and memory technologies, and heterogeneous integration to enable the applications beyond the scope of traditional computing. His ultimate goal is to drive nanosystems from concept to reality, resulting in hardware demonstrations of what future electronic systems might look like: from 3D chips with layers of sensing, memory, and logic densely integrated for on-chip ultra-high bandwidth sensing and processing, to computation finely-immersed in biological systems for disease monitoring and nano-implants.
The nanosystems that Max Shulaker is investigating exploit the many benefits of emerging technologies (ranging from new types of devices, new fabrication techniques, and new types of sensors) to realize new system architectures, such as monolithic 3D ICs. The combined benefits of improved devices and improved system architectures can provide significant gains in energy efficiency, while simultaneously allowing the explortion of radical new types of electronic systems for new applications.
Gage Hills is a post-doctoral researcher at Massachusetts Institute of Technology. He received his Ph.D. from Stanford University in 2018, advised by Prof. Subhasish Mitra and co-advised by Prof. H.-S. Philip Wong. His current research interests include development of very-large-scale integrated circuits using nanotechnologies, such as carbon nanotube field-effect transistors
I received the B.Sc. and M.Sc. degrees in electronics and electrical communication engineering from Ain Shams University, Cairo, Egypt, in 2013 and 2017, respectively. I worked as a graduate research assistant at the Integrated Circuits Laboratory (ICL), and as a teaching assistant at Faculty of Engineering, Ain-Shams University, Cairo, Egypt from 2014 to 2017.
I am currently working toward the Ph.D. degree in electrical engineering and computer science at Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. My research interests include integrated analog, mixed signal circuits for energy-efficient systems using emerging technologies such as CNFETs and RRAMs.
I have a tremendous passion for helping people and to live out this passion, I have armed myself with a background in both engineering and medicine. My vision for making the world a better place is to translate nanosystems to the clinic – where I’m learning how we can leverage their novel capabilities to diagnose and treat disease more effectively. I currently spend my time building chips in the fab, testing these chips over at Massachusetts General Hospital, and implementing big-data analytics with machine learning. I also lead development of a new imaging modality called D-SPIN. I got my bachelor’s at UC Berkeley where I majored in both Materials Science and Bioengineering. While there, I worked in the Berkeley Imaging Systems Laboratories where I explored clinical applications of an emerging imaging modality called Magnetic Particle Imaging. I’m currently a PhD candidate at Harvard and MIT in Health Sciences and Technology, where I have the privilege of earning a PhD in Electrical Engineering at MIT while studying medicine at Harvard Medical School. I am wildly obsessed with parrots.
I completed my undergraduate (B.S. degree) in EECS from UC Berkeley. I started my Ph.D. in EECS in MIT from 2018. I am currently under the supervision of Prof. Max Shulaker and Prof. Anantha Chandrakasan. My research focuses on utilizing emerging technology to accelerate deep learning neural network. I enjoy travelling and photography.
Rebecca joined MIT as a PhD student in 2017. She grew up in Austin, TX and received her BS in Biomedical Engineering from the University of Texas at Austin. Her research focuses on leveraging the unique properties of CNTs to design and demonstrate CNFET-based analog circuitry. In her free time, she enjoys exploring local restaurants, sewing, and oil painting.
Pritpal Singh Kanhaiya
My name is Pritpal Singh Kanhaiya, I started my PhD in the electrical engineering and computer science department at MIT back in 2017. Before moving to Cambridge, I completed the Nanotechnology Engineering program at the University of Waterloo. My research focuses on realizing CNT-based devices and circuits leveraging the unique 3D capabilities of CNFETs, as well as CNT-based electronics for radiation-tolerant applications. Beyond research, I enjoy playing and following basketball (Toronto Raptors for life!), everything bhangra (a punjabi folk dance), and listening/discussing rap and hip-hop music.
I studied Physics at the University of Southern California and started my Ph.D. in Electrical Engineering at MIT in 2017. During my Ph.D. I’ve worked on developing a CMOS process for carbon nanotube field effect transistors (CNFETs) and realizing large scale CMOS systems from CNFETs. I very much enjoy spending time in mountains, deserts, and Switzerland.
I did my undergrad (B.Tech) from IIT Kharagpur, India. At NOVELS research group, I am working on building novel digital systems using carbon nanotube transistors. Besides research, I like working out, dancing tango, or playing my hand drums (tabla).
Andrew Yu received his B.S. and M.S. in Electrical Engineering from Stanford University in 2017 and 2018 respectively. His current research interests are cost-effective 3D circuit manufacturing and radiation tolerant electronics for space environments. He was a classically trained artist for 9 years before college and continues to enjoy drawing.