Members

Principal Investigator

Tushar Krishna

Tushar Krishna is an Associate Professor in the School of ECE at Georgia Tech since 2015. He held the ON Semiconductor (Endowed) Junior Professorship from 2019-2021. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007).

Before joining Georgia Tech, Dr. Krishna spent a year as a post-doctoral researcher at Intel, Massachusetts, and a semester at the Singapore-MIT Alliance for Research and Technology.

Dr. Krishna’s research spans the computing stack: from circuits/physical design to microarchitecture to system software. His key focus area is in architecting the interconnection networks and communication protocols for efficient data movement within computer systems, for on-chip, HPC and cloud platforms.

Contact: tushar <at> ece <dot> gatech <dot> edu


Post-doctoral Researchers

 Joongun Park

Joongun Park is a postdoctoral researcher at Georgia Tech. He earned his Ph.D. in Computer Science from KAIST in 2023, an M.S. in 2018, and a B.S. in 2016, all from KAIST as well. His Ph.D. focused on hardware security, particularly Trusted Execution Environments. Currently, he is actively involved in advancing next-generation supercomputer architecture with Intel.

Contact: jpark3234 <at> gatech <dot> edu


PhD Students

Geonhwa Jeong

Geonhwa Jeong received a B.S. degree in Creative IT Engineering (CiTE) and Computer Science and Engineering (CSE) from Pohang University of Science and Technology (POSTECH) in 2019. He joined Georgia Tech as a Computer Science (CS) Ph.D. student in 2019.

His research interests include hardware-software co-design for emerging DNNs, accelerator design, heterogeneous architecture, and interconnection networks.

Contact: geonhwa <dot> jeong <at> gatech <dot> edu


William (Jonghoon) Won

William (Jonghoon) Won received his B.S. degree in Computer Science and Engineering (CSE) from Seoul National University (SNU) in 2019. He joined Georgia Tech as a Computer Science (CS) Ph.D. student in 2019.

His research interests include DNN accelerator designs, DNN software-hardware co-design, machine learning, big data analytics, and interconnection networks.

Contact: william.won <at> gatech <dot> edu


Raveesh Garg

Raveesh Garg received his BE(Hons) degree in Electronics and Instrumentation Engineering from Birla Institute of Technology and Science (BITS), Pilani, Pilani Campus, India in 2019. He joined Georgia Tech as an ECE graduate student in Fall 2019 and joined the Synergy Lab in Fall 2020.

His research interests include Computer Architecture, On-chip Networks and Domain Specific Hardware Architectures for AI and Scientific applications.

Contact: raveesh.g <at> gatech <dot> edu


Jianming Tong

Jianming Tong received B.E. degree in Electrical Engineering (EE) from Xi`an Jiaotong University supervised by Prof. Pengju Ren in 2020. After spending 8 months as a research assistant in Tsinghua University supervised by Prof. Yu Wang, he joined the Georgia Tech as a Computer Science (CS) Ph.D. student in Spring 2021.

His research interest include domain-specific architecture, on-chip network and robotics..

Contact: jtong45 <at> gatech <dot> edu


Abhimanyu Bambhaniya

Abhimanyu Bambhaniya received his B.Tech. (with Honors) in Electronics and Communication Engineering from the Indian Institute of Technology, Roorkee (IITR) in 2019.

From 2019-21, Abhimanyu worked at Alphaics, Bangalore, a startup developing an AI engine for edge-inference applications for two years after his bachelor’s. There he worked on SoC tape-out on 16nm FFC. He was part of the team responsible for Neural Engine’s design, power, area optimization, and SoC implementation on FPGA and ASIC.

He joined Georgia Tech as an ECE Ph.D. student in Fall 2021.

Abhimanyu’s research focuses on Computer Architecture, specifically efficient accelerators for AI and related emerging applications,. He is also highly interested in deep learning algorithms and VLSI design. He likes to be informed on modern trends in semiconductors, quantum computing, and robotics. His hobbies include hiking, and visiting new places, and general reading (Psychology, History, and geography).

Contact: abambhaniya3 <at> gatech <dot> edu


 Difei Cao

(Co-Advised with Kishore Ramachandran)

Difei Cao is a Ph.D. student at Georgia Tech doing research on Edge Computing Systems, advised by Professor Tushar Krishna and Professor Kishore Ramachandran. Difei believes that geo-distributed computing will be omnipresent for devices on the Edge of the network, such as mobile phones and cameras. Difei graduated from Rensselaer Polytechnic Institute in 2020 with Bachelor’s Degree in Electrical Engineering and was awarded one of the two Harold N. Travett Awards in that graduation year. Difei also plays badminton and was a national second-level athlete in China.

Contact: difei.cao <at> gatech <dot> edu


  Jinsun Yoo

(Co-Advised with Kishore Ramachandran)

Jinsun Yoo received his B.S. degree in Computer Science and Engineering(CSE) from Seoul National University (SNU) in 2021. He joined Georgia Tech as a Computer Science (CS) Ph.D. student in 2021. Jinsun’s research interests are focused building systems on the edge that can support realtime situation awareness applications. He is currently looking at problems across system and architecture area. In his free time Jinsun plays the double bass as a proud member of the Emory University Symphony Orchestra.

Contact: jinsun <at> gatech <dot> edu


  Canlin Zhang

Canlin Zhang received his B.S. degree in Electrical Engineering from University of Illinois (UIUC) in 2020. He joined Georgia Tech as an ECE graduate student in Fall 2020 and joined the Synergy Lab in Fall 2021.
His research interests include domain-specific accelerator design space exploration (DSE) and architectural simulation. He is also interested in the usage of 3D IC and Compute-In-Memory (CIM) for domain-specific accelerators.

Contact: canlinz2 <at> gatech <dot> edu


  Jamin Seo

Jamin Seo received her B.S. degree in Electrical and Computer Engineering (ECE) from Seoul National University (SNU) in 2019. She joined Georgia Tech as an ECE Ph.D. student in 2019.
Her research interests include domain-specific architectures, sparse DNN accelerators, multi-tenant DNN acceleration, and machine learning for design space exploration.

Contact: jseo89 <at> gatech <dot> edu


Changhai Man

Changhai Man received B.E. degree in School of Micro-Electronic from Southern University of Science and Technology (SUSTech) supervised by Prof. Hao Yu in 2022. He joined the Georgia Tech as an Electrical and Computer Engineering (ECE) Ph.D. student in Fall 2022, and joined Synergy Lab in Spring 2023. His research interests are focused on efficient neural networks on edge, as well as distributed/heterogeneous systems. Also, he is interested in VLSI designs and domain specific hardware architectures for AI and scientific computing.

Contact: cman8 <at> gatech <dot> edu


 Hanjiang Wu

Hanjiang Wu received his B.S. degree Electrical Engineering and Computer Science from University of Wisconsin-Madison in 2022. He joined Synergy Lab in Spring 2023 and became a Ph.D student in Fall 2023. His interest include AI/ML Accelerators and Simulators, HPC systems, Graph Analytics and Digital Circuits.

Contact: hwu419 <at> gatech <dot> edu


 Ritik Raj

Ritik Raj received his BTech degree in Electronics and Communication Engineering (ECE) from Indian Institute of Technology (IIT), Roorkee, India in 2023. He joined Georgia Tech as an ECE PhD student in Fall 2023. His research interests include Computer Architecture, specifically AI and domain-specific accelerators, FPGA, and architecture simulator design.

Contact: ritik.raj <at> gatech <dot> edu


 Hao Kang

Hao Kang received his BTech in Computer Science(CS) from Zhejiang University(ZJU) in 2023. He Joined Georgia Tech as a SCS Ph.D. student in Fall2023. His research interests include model compression, ML model profilers/simulators, and Mlsys for special models(e.g. LLM) and systems(e.g. quantum system).

Contact: hkang342 <at> gatech <dot> edu


Zishen Wan

Zishen Wan is a Ph.D. student at Georgia Tech ECE, co-advised by Profs. Arijit Raychowdhury and Tushar Krishna. Before joining Georgia Tech, he received his B.S. from Harbin Institute of Technology, and M.S. from Harvard University supervised by Prof. Vijay Janapa Reddi. Zishen’s research interests are computer architecture and VLSI, with a focus on designing resilient and efficient hardware and systems for autonomous machines and cognitive AI.

Contact: zishenwan <at> gatech <dot> edu


MS Students

  • Anirudh Itagi (ECE)
  • Ziwei Li (ECE)
  • Akshat Ramachandran (ECE)
  • Huan Xu (CS)

Undergraduate Students


Visitors

  • Yu-Chuan (Frank) Chuang, (PhD, National Taiwan University) – Fall 2022 to Spring 2023
  • Martina Gallego Jené, (BSc, UPC Spain) – Summer 2022 to Fall 2022
  • Francisco Muñoz-Martínez (PhD, University of Murcia) – Fall 2021
  • Jan Moritz Joseph (PhD, Otto-von-Guericke-Universität Magdeburg, Germany) – Fall 2019 to Spring 2020
  • Roberto Guirado (BSc, UPC Spain) – Spring 2019
  • Sachit Kuhar (BTech, IIT Guwahati) – Summer 2018
  • Zhongyuan Zhao (PhD, Shanghai Jiaotong University) – Fall 2017 to Spring 2018

Alumni

Post-doctoral Researchers

Taekyung Heo (PostDoc, ECE, 2023)


PhD

#7 Srikant Bharadwaj (PhD, ECE, 2023)


#6 Saeed Rashidi (PhD, ECE, 2023)

  • Thesis:  HW-SW Methods for Modeling and Optimizing Communication for Scalable Training of Deep Learning Models
  • Key Open-source Artifacts from PhD:
    • ASTRA-sim – An Open-source Distributed Deep Learning Training Simulator Infrastructure (Tutorials at ASPLOS 2022, ISCA 2022, MLSys 2022, ASPLOS 2023)
  • First Employment: HPE Labs
  • Contact: saeed <dot> rashidi <at> gatech <dot> edu

#5 Sheng-Chun (Felix) Kao (PhD, ECE, 2022)

  • Thesis: Domain-aware Genetic Algorithms for Hardware and Mapping Co-Optimization for Efficient DNN Acceleration
  • Key Highlights/Awards from PhD:
    • “Best PhD Thesis” Award from the Sigma Xi Scientific Honor Society’s Georgia Tech chapter.
  • Key Open-source Artifacts from PhD:
    • GAMMA – A Domain-aware Genetic Algorithm  for Mapping DNNs on Accelerators (ICCAD 2020)
    • DiGamma – A Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators (DATE 2022)
    • ConfuciuX – Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning (MICRO 2020)
    • MAGMA – An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores (HPCA 2022)
  • First Employment: Waymo
  • Contact: felix <at> gatech <dot> edu

#4 Eric Qin (PhD, ECE, 2022)

#3 Ananda Samajdar (PhD, ECE, 2021)

  • Thesis: Methodology and Analysis for Efficient Custom Architecture Design using Machine Learning
  • Key Highlights/Awards from PhD:
    • Presentation at DAC PhD Forum 2022
    • Best Paper at HPCA 2020
    • Honorable Mention in IEEE Micro Top Picks 2019
    • Silver Medalist at ACM Student Research Competition, ASPLOS 2019
    • Finalist at ACM Student Research Competition, ASPLOS 2018
  • Key Open-source Artifacts from PhD:
      • SCALE-sim DNN Accelerator Simulator (ISPASS 2020)
  • First Employment: IBM Research
  • Contact: anandsamajdar <at> gatech <dot> edu

#2 Mayank Parasar (PhD, ECE, 2020)

#1 Hyoukjun Kwon (PhD, SCS, 2020)

  • Thesis: Data- and Communication-centric Approaches to Model and Design Flexible Deep Neural Network Accelerators
  • Key Highlights/Awards from PhD:
    • Honorable Mention at ACM SIGARCH / IEEE CS TCCA Outstanding Dissertation Award 2021
    • Best Paper at HPCA 2020
    • IEEE Micro Top Picks 2020
    • Qualcomm Innovation Fellowship Finalist 2019
    • Honorable Mention in IEEE Micro Top Picks 2019
    • ACM Student Research Competition Finalist at MICRO 2018
  • Key Open-source Artifacts from PhD:
    • MAESTRO – An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators (MICRO 2019)
    • MAERI – A DNN accelerator with reconfigurable interconnects to support flexible dataflow (ASPLOS 2018)
  • First Employment: Facebook Reality Labs
    • Now Assistant Professor, University of California, Irvine

MS

BS
    • Zeyu Chen (BS, ECE, 2023)
      • First Employment: MS Student at Stanford
    • David Pan (BS + MS, ECE, 2022)
      • First Employment: PhD Student at UC San Diego
    • Fei Wu(BS + MS, ECE, 2019)
      • Winner of Georgia Tech President’s Undergraduate Research Award (PURA) for Summer 2017
      • First Employment: Microsoft

The whole is greater than the sum of its parts