Aditya Manglik

Biography

Hi! I am a graduate student affiliated with Columbia University and ETH Zürich. At Columbia University, I am advised by Prof. Kostis Kaffes. At ETH Zürich, I am advised by Prof. Lana Josipović and Prof. Onur Mutlu. My broad area of research is Computing Systems, focusing on energy-efficiency and security.

In a previous life, I worked at Oracle Corporation for three years after earning a Bachelor’s in Electrical Engineering (Hons.) from BITS Pilani. I developed a taste for academia while working on my bachelor’s thesis at the Vienna University of Technology (supervised by Prof. Muhammad Shafique and Prof. Surekha Bhanot).

Interests

Education

Master's Thesis, 2023
Columbia University (New York), USA
M.Sc. in Electrical Engineering, 2021
ETH Zürich (Swiss Federal Institute of Technology in Zürich), Switzerland
Bachelor's Thesis, 2018
Technische Universität Wien (Vienna University of Technology), Austria
B.Eng. (Hons) in Electrical and Electronics Engineering, 2018
BITS Pilani, Pilani Campus, India

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Ivan Fernandez, Aditya Manglik, Christina Giannoula, Ricardo Quislant, Nika Mansouri Ghiasi, Juan Gómez-Luna, Eladio Gutierrez, Oscar Plata, Onur Mutlu (2022). Resistive Crossbar-Aware Neural Network Design and Optimization. Arxiv.

Aditya Manglik, Minesh Patel, Haiyu Mao, Behzad Salami, Jisung Park, Lois Orosa, Onur Mutlu (2022). Accelerating Time Series Analysis via Processing using Non-Volatile Memories. Arxiv.

Nika Mansouri Ghiasi, Mohammad Sadrosadati, Geraldo F Oliveira, Konstantinos Kanellopoulos, Rachata Ausavarungnirun, Juan Gómez Luna, Aditya Manglik, João Ferreira, Jeremie S Kim, Christina Giannoula, Nandita Vijaykumar, Jisung Park, Onur Mutlu (2022). RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory. Arxiv.

Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu (2022). GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. MICRO-55.

Minesh Patel, Taha Shahroodi, Aditya Manglik, A Giray Yaglikci, Ataberk Olgun, Haocong Luo, Onur Mutlu (2022). A case for transparent reliability in DRAM systems. Arxiv.

Muhammad Hanif Abdullah, Aditya Manglik, Muhammad Shafique (2021). Resistive Crossbar-Aware Neural Network Design and Optimization. In IEEE Access.

Aditya Manglik, Kunal Gupta, Surekha Bhanot (2020). Adaptive Gait Generation for Hexapod robot using Genetic Algorithm. In ICPEICES-2016.