Elkhan Ismayilzada

About Me

I am a PhD student in CSE at Michigan State University. My current research interests include 3D reconstruction, pose estimation, action recognition, object detection.

Research Interests

• Computer Vision: pose estimation, 3D reconstruction, action recognition, object detection.
• Machine Learning: deep learning, meta-learning, incremental learning.

Education

• PhD in Computer Science and Engineering, Michigan State University, USA
  2024 Aug – Present

• M.Sc. in Computer Science and Engineering, UNIST, South Korea
  2022 Aug – 2024 Jul

• B.Sc. in Computer Science and Engineering, UNIST, South Korea
  2018 Aug – 2022 Jul

Publications

Conferences

• QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects
  Elkhan Ismayilzada*, MD Khalequzzaman Chowdhury Sayem*, Yihalem Yimolal Tiruneh, Mubarrat Tajoar Chowdhury, Muhammadjon Boboev, and Seungryul Baek
  Association for the Advancement of Artificial Intelligence (AAAI), 2025
  [Project] [News]

• Transformer-based Unified Recognition of Two Hands Manipulating Objects
  Hoseong Cho, Chanwoo Kim, Jihyeon Kim, Seongyeong Lee, Elkhan Ismayilzada, and Seungryul Baek
  Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023
  [Paper]

Journals

• Poracle: Testing Patches Under Preservation Conditions to Combat the Overfitting Problem of Program Repair
  Elkhan Ismayilzada, Md Mazba Ur Rahman, Dongsun Kim, Jooyong Yi
  ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
  [Paper] [Code]

• Secure human action recognition by encrypted neural network inference
  Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, and Shayan Shams
  Nature Communications 13 (1), 1-13, 2022
  [Paper]

• Speeding up Constraint-Based Program Repair Using a Search-Based Technique
  Jooyong Yi, and Elkhan Ismayilzada
  Information and Software Technology 146, 106865, 2022
  [Paper] [Code]

Posters

• Development of news article recommendation system via reinforcement learning
  Elkhan Ismayilzada, Sayem K. Chowdury, and Mubarrat T. Chowdury
  Poster presented at: UNIST; Dec 3 2021; Ulsan, Republic of Korea.
  [Poster] [Code]

• Bang for the Buck: Filtering Out Hundreds of Incorrect Patches with a Single Generalized Test
  Elkhan Ismayilzada, Mazba Ur Rahman, Dongsun Kim, and Jooyong Yi
  International Conference on Software Engineering (Submitted).
  [Poster] [Code]

Research Experience

• Graduate Research Assistant, Department of Computer Science and Engineering
  UNIST Vision and Learning, Ulsan National Institute of Science and Technology
  Project: Pose estimation
  Supervisor: Seungryul Baek
  Focus: Hands-object pose estimation
  Sep 2022 – Jul 2024

• Research Assistant, Department of Computer Science and Engineering
  Statistical Decision Making Lab, Ulsan National Institute of Science and Technology
  Project: Contextual Multi-armed bandit algorithms
  Supervisor: Gi-Soo Kim
  Focus: Semiparametric contextual bandits
  Mar 2021 – Oct 2022

• Research Assistant, Department of Computer Science and Engineering
  Applied Cryptography Lab, Ulsan National Institute of Science and Technology
  Project: Privacy-preserving Machine Learning
  Supervisor: Miran Kim
  Focus: Secure computation during training and inference phase of model using HE
  Mar 2021 – Sep 2022

• Research Assistant, Department of Computer Science and Engineering
  Software Engineering Lab, Ulsan National Institute of Science and Technology
  Project: Investigations on automated program repair tools
  Supervisor: Jooyong Yi
  Focus: Overfitting problem of automated program repair tools
  Jan 2020 – Feb 2021

Work experience

• Teaching Assistant, Department of Computer Science and Engineering
  Organized the exams, made and evaluated programming assignments in CSE472 Computer Vision.
  Sep 2022 - Dec 2022

Projects

• UNIST Projects
  Coursework of all the courses at UNIST.
  [Code]

• Tapmaca
  Simple quiz game which is made with Unity, published in Google Play Store and has over 100 thousand downloads.
  [Google Play] [Code]

• Paytaxt
  Simple quiz game which is made with Unity, published in Google Play Store and has over 10 thousand downloads.
  [Google Play] [Code]

• Movie Recommendation App
  Web App that is made with Spring for backend and jQuery / HTML for frontend.
  [Code]

• E-Commerce in React
  Web App that is made with React + Redux. For storing user’s information, Firebase is integrated.
  [Code]

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