Ajay Narayanan Sridhar

Graduate Student @ PennState

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I’m a second-year graduate student at Pennsylvania State University, pursuing a PhD in Computer Science and Engineering.

Before my graduate studies, I was a data engineer at Navis for two wonderful years (2020-2022). There, I worked on machine learning applications in shipping terminal operations. I completed my Bachelor’s from the Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram (IIITDM Kancheepuram) in 2020.

My research interests lie in machine learning and resource-efficient AI. I want to make AI and machine learning models efficient for edge devices. I’m also keen to explore the applications of ML/DL in various domains (computer vision tasks, supply chain logistics, etc.).

I enjoy hitting the gym, cycling, and speed cycling in my free time.

news

Dec 01, 2024 Our work, QoS-Diff, on efficient diffusion models accepted to ACM MM Asia 2024!
Apr 14, 2024 Our work on Cuisine Transfer got accepted in CVPR 2024 Workshops!
Aug 21, 2022 Joined Penn State as a gradute student majoring in Computer Science and Engineering! :sparkles:
Apr 01, 2022 Promoted to Software Engineer at Navis LLC.
Dec 12, 2021 My team, Data Engineering @ Navis conferred with ‘Better Together’ Award!

selected publications

  1. Qos-Diff
    QoS-Diff: Adaptive Auto-tuning framework for Low-latency Diffusion Model Inference
    Pingyi Huo*Ajay Narayanan Sridhar*, Md Fahim Faysal Khan, Kiwan Maeng, and Vijaykrishnan Narayanan
    In Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024
  2. CuisineTransfer
    A Generative Exploration of Cuisine Transfer
    Philip Wootaek Shin*Ajay Narayanan Sridhar*, Jack Sampson, and Vijaykrishnan Narayanan
    In The IEEE/CVF conference on computer vision and pattern recognition (CVPR) Workshops, 2024