AI researcher & engineer · HCM, Vietnam

I turn research ideas into AI systems that work in the real world.

My work connects deep learning research in video and signal processing with production-ready multimodal AI, language models, and real-time computer vision.

11Peer-reviewed
publications
8dBPSNR gain in
reconstruction
38%Less annotation
effort
PhDVideo coding &
deep learning

01 / Selected work

From model research
to measurable impact.

Selected systems spanning language, vision, and real-time deployment.

Multimodal retrieval2024
02

ZumenAI

AI-powered CAD management with intelligent visual retrieval, automated tagging, and document classification.

+30%faster CAD image retrieval on average
  • ViT
  • CLIP
  • OCR
  • ONNX
Applied vision2023—24
03

AnzenAI

Autonomous safety analysis for construction imagery and video, built to generate contextual safety conditions on-site.

  • Detection
  • ONNX
  • Edge AI
Real-time AI2023
04

Real-time safety monitoring

Low-latency accident-risk estimation with immediate on-site Patlite and email alerts.

  • DeepStream
  • GStreamer
  • Computer vision
View three more projects +
2024

RoleplayEngine

Speech-to-text and BERT sentiment analysis for consistent sales-training evaluation.

2019—22

Video coding research

Deep learning methods delivering up to 18% bitrate reduction against the VVC standard.

2017—21

Compressive sensing

High-quality reconstruction for resource-limited surveillance devices, outperforming prior work by up to 6dB PSNR.

02 / Research

A body of work in
visual intelligence.

11 peer-reviewed works across video coding, compressive sensing, image enhancement, and computer vision. Filter the record by venue.

11 works shown

2025

Computational Visual Media · Journal

JVCSR+: Adaptively Learned Video Compressive Sensing Reconstruction with Joint in-Loop Reference Enhancement and Out-Loop Super-Resolution

Jian Yang, Jiayao Xu, Chi Do-Kim Pham, Jinjia Zhou

DOI ↗
2023

Data Compression Conference · DCC

Temporal Down-sampling based Video Coding with Frame-Recurrent Enhancement

Keren He, Chen Fu, Chi Do-Kim Pham, Lu Zhang, Jinjia Zhou

DOI ↗
2022

IEEE MMSP

Object detection and tracking aided SLAM in image sequences for dynamic environment

Catherine Waithera Wangari, Chi Do-Kim Pham, Jinjia Zhou

DOI ↗
2022

MultiMedia Modeling · MMM

JVCSR: Video Compressive Sensing Reconstruction with Joint In-Loop Reference Enhancement and Out-Loop Super-Resolution

Jian Yang, Chi Do-Kim Pham, Jinjia Zhou

DOI ↗
2022

IEEE ISCAS

An 81.92Gpixels/s Fast Reconstruction of Images from Compressively Sensed Measurements

Jiayao Xu, Chi Do-Kim Pham, Chen Fu, Jinjia Zhou

DOI ↗
2021

IEEE MMSP

SpeedDeblur: A Framework to speed up CNN-based Deblurring for HEVC compressed video

Ho Tan Nguyen, Chi Do-Kim Pham, Jinjia Zhou

DOI ↗
2021

CVPR Workshops

Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding

Chi Do-Kim Pham, Chen Fu, Jinjia Zhou

DOI ↗
2022

IEEE Transactions on Industrial Informatics · Journal

CSIE-M: Compressive Sensing Image Enhancement Using Multiple Reconstructed Signals for Internet of Things Surveillance Systems

Chi Do-Kim Pham, Jian Yang, Jinjia Zhou

DOI ↗
2020

IEEE MMSP

Bi-directional intra prediction based measurement coding for compressive sensing images

Thuy T. T. Tran, Jirayu Peetakul, Chi Do-Kim Pham, Jinjia Zhou

DOI ↗
2019

IEEE Access · Journal

Deep Learning-Based Luma and Chroma Fractional Interpolation in Video Coding

Chi Do-Kim Pham, Jinjia Zhou

DOI ↗
2019

International Symposium on AI & Robotics

iCNN: A Convolutional Neural Network for Fractional Interpolation in Video Coding

Chi Do-Kim Pham, Jinjia Zhou

Conference paper

03 / Journey

Research depth,
industry range.

A career shaped in Japan and Vietnam, moving between academic research and end-to-end AI product development.

Eigyo-Mfg Co. Ltd. · Japan

AI Engineer

Owned end-to-end AI workflows from training and evaluation to deployment and monitoring; fine-tuned language models, built active learning systems, and mentored two interns.

Hazama Ando Corp. · Japan

AI Engineer, contractor

Engineered autonomous construction-safety systems, integrated vision AI on edge devices, and partnered with iOS and backend teams for large-scale deployment.

International venues

Reviewer

Reviewed video coding research for IEEE TCSVT and IEEE Access, and supported reviews for ICCV, CVPR, WACV, BMVC, VCIP, and OJSP.

Hosei University · Japan

Visiting Researcher

Developed machine-vision-oriented video coding approaches, reducing bitrate by up to 20% against state-of-the-art codecs.

JST PRESTO · Japan

Research Assistant

Researched deep learning-based compressive sensing for batteryless, wireless surveillance, delivering +8dB PSNR and 18% bitrate reduction.

04 / Capabilities

Across the full
AI system.

01

Research & modeling

Deep learning · Video coding · Image processing · Object detection · OCR · Multimodal AI · Active learning

02

Frameworks & languages

PyTorch · Hugging Face · scikit-learn · OpenCV · Python · C/C++ · MATLAB

03

Production & edge

ONNX Runtime · TensorRT · DeepStream · GStreamer · Docker · FastAPI

04

Data & cloud

PostgreSQL · pgvector · AWS EC2, S3, RDS · SageMaker · Git · Linux

05 / Recognition

Awards & support.

Doctoral Research Grant

Hosei University

Vietnam Friendship Scholarship

Hosei University & Taisei Corporation

JASSO Scholarship

Japan Student Services Organization

Top 5, graduating class

VNU-HCM UIT · Computer Science

Top Achiever Scholarship

Top 8% · VNU-HCM UIT

Honors Program Scholarship

VNU-HCM UIT

06 / Contact

Let’s make difficult ideas
useful.

Open to conversations about AI research, applied machine learning, computer vision, and production AI systems.

kimchi.phamdo@gmail.com

Try “video coding”, “BERT”, or “2022”