Mohammad Azam Khan, PhD

Current: Executive Engineer | Dhaka Power Distribution Company Limited (DPDC).

Research Focus: Smart Grid Systems, Medical Image Analysis.

Skills: Data Analytics, Machine Learning, Deep Learning, Python, PyTorch.

Kaggle: Competition Experts.

Work Experience

  • 3/2009 - Present

    Assistant/Subdivisional/Executive Engineer

    Dhaka Power Distribution Company Limited (DPDC), Bangladesh.

  • 3/2020 - 8/2020

    Post-Doctoral Researcher

    Korea Advanced Institute of Science and Technology (KAIST), South Korea.

  • 6/2008 - 3/2009

    Teaching Assistant

    Bangladesh University of Engineering and Technology (BUET), Bangladesh.

Education

  • PhD 2020

    Computer Science and Engineering

    Korea University, Seoul, South Korea.

  • M. Engg. 2013

    Computer Science and Engineering

    Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.

  • B. Sc. Engg. 2008

    Computer Science and Engineering

    International Islamic University Chittagong (IIUC), Chittagong, Bangladesh.

Selected Publications

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.

Development of Artificial Intelligence System for Quality Control of Photo Documentation in Esophagogastroduodenoscopy

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).

Automatic Detection of Tympanic Membrane and Middle Ear Infection from Oto-Endoscopic Images via Convolutional Neural Networks

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)

Intelligent Fault Detection using Raw Vibration Signals via dilated Convolutional Neural Networks

Mohammad Azam Khan, Yong-Hwa Kim, and Jaegul Choo
The Journal of Supercomputing, 76, 8086-8100 (2020) (IF: 2.469, as of 2019)

Selected Competitions

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%)

Honors and Awards

  • 2019
    Travel Grant from University of Oxford and MedIAN
    image
    Presenter for Multi-class artefact detection in video endoscopy.

    ARTEFACT DETECTION CHALLENGE (EAD 2019), ISBI 2019, Venice, Italy, Mar/2019.

    Supported by: University of Oxford and MedIAN

    Featured interview

  • 2018
    HeLP Challenge 2018 - Awarded KRW 1,000,000
    image
    HeLP Challenge 2018

    2nd position in the “Ch1: Brain Tumor Segmentation” challenge

    ASAN Medical Center, Seoul, South Korea.

  • 2014
    Daffodil Japan IT Online Quiz Contest - 9th Place
    Daffodil Japan IT Ltd. organized an online quiz contest named “Daffodil Japan IT Online Quiz Contest” in September 2014. Final year undergraduates, graduates of IT as well as IT professionals were eligible to participate. More than 2000 participants, participated in this contest and the top 300 participants declared winners. Top most one got a laptop as a winning prize.
  • 2009
    ACI Pure Salt Deshke Jano Quiz Contest - Awarded BDT 100,000
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    Nationwide one of the ten top scorers

    ACI Pure Salt Deshke Jano Quiz Contest, 2009.

    Bangabandhu International Conference Center (BICC), Dhaka, Bangladesh.