Hello, I'm Karthik! I'm an ECE PhD student at New York University advised by Brandon Reagen. My research focuses on machine learning & optimization for hardware, security, and robotics.
Before NYU, I received an MS in Computer Engineering from Washington University in St. Louis where I worked on adversarial machine learning in self-driving cars and reinforcement learning for energy-efficient computing in multi-core computers.
Personal website: kvgarimella.github.io
I am a graduate student at the NYU Tandon School of Engineering in the Department of Electrical and Computer Engineering. My academic interests include specialized computer hardware, embedded processing, and urban systems. Outside of the classroom, I like to occupy my free time with electronics, pet projects, hockey, and dogs.
Personal website: bcheyman.com
Hi! I'm Nandan, a first-year ECE Ph.D. student at NYU advised by Prof. Brandon Reagen. I'm working at the intersection of Deep Learning, Computer Architecture, and Applied Cryptography (homomorphic encryption). I am particularly interested in privacy-preserving deep learning, where I'm exploring the design space of DNN models and the domain-specific accelerators to reduce the computational complexity of private inference.
Before joining NYU, I was a CSE M.Tech. (Research Assistant) student at IIT, Hyderabad, where I worked on broader areas of deep learning and computer architecture with a focus on the energy efficiency issue. My master's thesis was on "Hardware-Aware Co-Optimization of Deep Convolutional Neural Networks."
Personal Website: https://www.linkedin.com/in/nandan-kumar-jha-7a076839/
Hi! I am Jianqiao Mo. Also, you can call me 'Cambridge'. I was an undergraduate student in Nanjing University (graduate in July 2020).
Now I am a PhD student in New York University (Electrical & Computer Engineering). I am advised by Prof. Brandon Reagen. My interests include Deep Neural Networks (DNNs) and computer hardware. Personal webpage: https://jqmo.top
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