Current: Research Scientist | Kim Jaechul Graduate School of AI, KAIST.
Research Focus: Computer Vision, Medical Image Analysis, Healthcare.
Skills: Data Analytics, Machine Learning, Deep Learning, Python, PyTorch.
Kaggle: Competition Experts.
Current: Research Scientist | Kim Jaechul Graduate School of AI, KAIST.
Research Focus: Computer Vision, Medical Image Analysis, Healthcare.
Skills: Data Analytics, Machine Learning, Deep Learning, Python, PyTorch.
Kaggle: Competition Experts.
Research Scientist
Kim Jaechul Graduate School of AI, KAIST, South Korea.
Assistant/Subdivisional/Executive Engineer
Dhaka Power Distribution Company Limited (DPDC), Bangladesh.
Postdoctoral Researcher
Korea Advanced Institute of Science and Technology (KAIST), South Korea.
Teaching Assistant
Bangladesh University of Engineering and Technology (BUET), Bangladesh.
Computer Science and Engineering
Korea University, Seoul, South Korea.
Computer Science and Engineering
Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Computer Science and Engineering
International Islamic University Chittagong (IIUC), Chittagong, Bangladesh.
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho,* Daejin Kim,* Mohammad Azam Khan, and Jaegul Choo
Conference on Neural Information Processing Systems (NeurIPS), 2022.
WaveBound: Dynamically Bounding Error for Stable Time Series Forecasting
Youngin Cho,* Daejin Kim,* Dongmin Kim, Mohammad Azam Khan, and Jaegul Choo
Conference on Neural Information Processing Systems (NeurIPS), 2022.
Not just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
DaeJin Kim, Mohammad Azam Khan, Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Seong Ji Choi,* Mohammad Azam Khan,* Hyuk Soon Choi, Jaegul Choo, Jae Min Lee, and Soonwook Kwon (*: equal contributions)
Surgical Endoscopy, 2021 (IF: 3.149, as of 2019).
Mohammad Azam Khan,* Soonwook Kwon,* Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, and Seok Jin Hong (*: equal contributions)
Neural Networks, 126, Pages 384-394, 2020 (IF: 5.535, as of 2019)
HeLP Challenge 2018, Asan Medical Center, Seoul, South Korea
Task: Brain Tumor Segmentation
2nd place among 11 teams.
Artefact detection Challenge (EAD 2019), ISBI 2019
Task: Multi-class artefact detection in video endoscopy
10th place among 29 actively participated teams.
Classification of Normal vs Malignant Cells in B-ALL White Blood Cancer
Task: Classification of leukemic B-lymphoblast cells from normal B-lymphoid precursors from blood smear microscopic images
12th place among 25 teams allowed for the final round.
Airbus Ship Detection Challenge | Kaggle
Task: Increase the accuracy and speed of automatic ship detection.
Position: 103/883 (Top 12%)
RSNA Pneumonia Detection Challenge | Kaggle
Task: Detect a visual signal for pneumonia in medical images.
Position: 62/1499 (Top 5%)
Mercedes-Benz Greener Manufacturing | Kaggle
Task: Tackle the curse of dimensionality and reduce the time that cars spend on the test bench.
Position: 73/3835 (Top 2%)
Intel & MobileODT Cervical Cancer Screening | Kaggle
Task: Develop an algorithm that accurately identifies a woman’s cervix type based on images.
Position: 38/848 (Top 5%)
The National ICT Awards is an annual event organized by the Bangladesh Association of Software and Information Services (BASIS) with the aim of showcasing and awarding innovative projects, ideas and solutions. Start-ups, SMEs, and entrepreneurs who have tapped into IT and ITES services to arrive at innovative solutions can participate in the BASIS National ICT award which comes with a wealth of opportunities. The ICT award event promises major boost and is an opportune platform for innovators within the ICT and ITES sectors. The award is nationally recognized and the winners of the National ICT Award can compete in the international awarding platform, namely The Asia Pacific ICT Alliance Awards, or APICTA in short.
For details please visit: //bnia.basis.org.bd/
ARTEFACT DETECTION CHALLENGE (EAD 2019), ISBI 2019, Venice, Italy, Mar/2019.
Supported by: University of Oxford and MedIAN
2nd position in the “Ch1: Brain Tumor Segmentation” challenge
ASAN Medical Center, Seoul, South Korea.
ACI Pure Salt Deshke Jano Quiz Contest, 2009.
Bangabandhu International Conference Center (BICC), Dhaka, Bangladesh.