I am Sayed Nadim.

I am originally from Bangladesh 🇧🇩 and currently working as a researcher in South Korea. Thank you for visiting my profile! Feel free to reach out if you want to collaborate or just have a chat. 😊

• 💂‍♂️ I am a computer vision researcher with experience in developing cutting-edge AI-based solutions and a passionate developer who loves to explore new technologies and build innovative projects.
• 🏗️ I have 6+ years of experience in designing traditional/deep learning methods for 2D & 3D image processing techniques, utilizing supervised/semi-supervised/unsupervised learning, working with different sensors (RGB pinhole/wideangle/Fisheye cameras, Monochrome cameras, NIR/LWIR cameras, Neuromorphic sensors, LiDAR, IMU, etc.), and deep generative vision models.

• 🔭 I’m currently working on in-cabin algorithms and monocular depth estimation.
• 🤔: I'm also trying to find a way to have a better convolution mechanism (this is above my current knowledge but I am digging deeper)
• 💻: I usually work with PyTorch with some C++.

• Open source projects that make a difference.
• Innovative ideas that can solve real-world problems.

• Email: smnadimuddin(at) gmail (dot) com
• LinkedIn: SayedNadim

• Nov 18, 2024
  • [Job] I have joined Deep In Sight as a senior AI/ML researcher. I will be working in R&D department, focusing on algorithms.
• Nov 20, 2023
  • [Job] I have been assigned as a Group Lead at DeltaX.ai. I will be overseeing the Automotive Perception Group and mainly be working with several teams to build ADAS, DMS, OMS and SCMS solutions.
• Apr 14, 2023
  • [Conference] Our team has successfully participated in CVPR’23 2nd Monocular Depth Estimation Challenge.
• Oct 25, 2022
  • [Job] I have joined DeltaX.ai as a Team Lead and AI Researcher.
• Sep 4, 2022
  • [Journal] Our paper “Multi-Scale Attention-Guided Non-Local Network for HDR Image Reconstruction” has been published in the Sensors (Q1, Impact Factor - 3.847) Journal.
• Aug 1, 2022
  • [Conference] Our team has successfully participated in ECCV’22 AIM Challenge on Reversed ISP (Track 1).
• Jun 26, 2022
  • [Journal] Our paper “Unsupervised Deep Event Stereo for Depth Estimation” has been accepted in the IEEE Transactions on Circuits and Systems for Video Technology- (Q1, Impact Factor - 5.859).
• May 10, 2022
  • [Journal] Our paper “SIFNet: Free-form image inpainting using color split-inpaint-fuse approach” has been published in the Computer Vision and Image Understanding Journal (Volume 221, August 2022, 103446) - (Q1, Impact Factor - 4.886).
• Feb 3, 2021
  • [Conference] Our paper “Deep Event Stereo Leveraged by Event to Image Translation” is published in AAAI Conference on Artificial Intelligence (AAAI-21).
• Jul 21, 2020
  • [Conference] Our team has successfully participated in ECCV AIM Challenge on Image Extreme Inpainting.
• Jun 4, 2020
  • [Journal] Our paper “Global and local attention-based free-form image inpainting” has been published in the Sensors (Q1, Impact Factor - 3.847) Journal.

• Senior AI/ML Researcher, AI Team, R&D Department, Deep In Sight Co., Ltd

  • Nov 2024 - Present
    • AI and Computer Vision Development: Designing AI models and traditional image processing solutions, addressing geometric and 3D vision challenges in computer vision.
    • System and Pipeline Development: Developing robust systems and data collection pipelines to support advanced vision applications and optimization tasks.
    • Optimization and Problem Solving Tackling complex optimization problems to enhance performance and ensure seamless integration of computer vision solutions.

• Group Lead, Team Lead and AI Researcher, Automotive Perception Group, AI Lab, DeltaX.ai, Rep. of Korea.

  • Oct 2022 - Nov 2024
    • Led several teams working on building ADAS solutions and SCMS-DMS-OMS solutions.
    • Managed the delivery of multiple, complex, simultaneous development projects from design through to release.
    • Led cutting-edge R&D projects which eventually progressed to industrial projects/PoCs.

• Vision Researcher, Computer Vision and Image Processing (CVIP) Lab, Gachon University, Rep. of Korea.

  • Mar 2019 - Sep 2022
    • Worked with deep learning-based generative image synthesis tasks such as image inpainting, image colorization etc., and stereo depth estimation using bio-inspired vision systems.
    • Participated in various industrial projects regarding depth estimation, face detection etc.
    • Provided lectures on the concepts of computer vision/ deep learning and hands-on training on Python and PyTorch.
    • Conducted job-related administrative works.

• Analyst, Business Development, Apex DMIT Ltd. (former 'Kazi IT Center'), Dhaka, Bangladesh.

  • Jul 2018 - Jan 2019
    • Participated in analysing and managing overseas assets.
    • Managed several assets and freelance contractors through direct/indirect supervisions.
    • Performed several administrative duties such as participating/supervising asset bidding, compiling reports, attending/organizing seminars etc.

• Teaching Assistant, Dept. of EEE, University of Liberal Arts, Bangladesh.

  • Feb 2018 - Jun 2018
    • Provided lectures on course-specific concepts and hands-on training on circuits and embedded systems.
    • Allocated tasks, projects and performed grading.
    • Conducted job-related administrative works.

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