Department of Software Engineering
Dr. Mohammad Azam Khan  Assistant Professor
Name :
Dr. Mohammad Azam Khan
Employee ID
710003744
Designation
Assistant Professor  
Department
Department of Software Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/swe/azamkhan.html
E-mail
azamkhan.swe@diu.edu.bd
Phone
Cell-Phone

Ph.D. in Computer Science and Engineering
Korea University, Seoul, South Korea, 2020

M.Engg. in Computer Science and Engineering
Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, 2013

B.Sc.Engg. in Computer Science and Engineering
International Islamic University Chittagong (IIUC), Kumira, Chattogram, Bangladesh, 2008

  • Cyber Security Analyst (Ongoing, under UNDP FutureNation Program collaborated with DIU)
  • Faculty Training on AI for Teaching (Organized by HRDI at DIU in March 2025)
  • Induction Training for Teachers, Spring 2025 (Organized by HRDI at DIU in January 2025).
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Discrete Mathematics
  • Structured programming
  • Data Structure
  • Algorithm Design & Analysis
  • Computer Networks

Journals:

  • Seong Ji Choi,* Mohammad Azam Khan,* Hyuk Soon Choi, Jaegul Choo, Jae Min Lee, and Soonwook Kwon, "Development of Artificial Intelligence System for Quality Control of Photo Documentation in Esophagogastroduodenoscopy," Surg Endosc. 2022 Jan; 36(1):57-65. (*: equal contributions)
  • Mohammad Azam Khan,* Soonwook Kwon,* Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, and Seok Jin Hong, "Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks," Neural Networks 126 (2020) 384-394. (*: equal contributions)
  • Mohammad Azam Khan, Jaegul Choo, and Yong-Hwa Kim, "Intelligent fault detection using raw vibration signals via dilated convolutional neural networks," Journal of Supercomputing, 76, 8086–8100 (2020). doi: 10.1007/s11227-018-2711-0
  • Mohammad Azam Khan, Yong-Hwa Kim and Jaegul Choo, “End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks,” Journal of Electrical Engineering and Technology (2019), 14, 1299-1309.
  • Sharib Ali, Felix Zhou, Barbara Braden, Adam Bailey, Suhui Yang, Guanju Cheng, Pengyi Zhang, Xiaoqiong Li, Maxime Kayser, Roger D. Soberanis-Mukul, Shadi Albarqouni, Xiaokang Wang, Chunqing Wang, Seiryo Watanabe, Ilkay Oksuz, Qingtian Ning, Shufan Yang, Mohammad Azam Khan, Xiaohong W. Gao, Stefano Realdon, Maxim Loshchenov, Julia A. Schnabel, James E. East, Georges Wagnieres, Victor B. Loschenov, Enrico Grisan, Christian Daul, Walter Blondel and Jens Rittscher, "An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy," Scientific Reports (2020), 10 (1), 1-15.
  • N. Kumar, R. Verma, D. Anand, Y. Zhou, O.F. Onder, E. Tsougenis, H. Chen, PA. Heng, J. Li, Z. Hu, Y. Wang, N.A. Koohbanani, M. Jahanifar, N.Z. Tajeddin, A. Gooya, N. Rajpoot, X. Ren, S. Zhou, Q. Wang, D. Shen, CK. Yang, CH. Weng, WH. Yu, CY. Yeh, S. Yang, S. Xu, P.H. Yeung, P. Sun, A. Mahbod, G. Schaefer, I. Ellinger, R. Ecker, O. Smedby, C. Wang, B. Chidester, TV. Ton, MT. Tran, J. Ma, M.N. Do, S. Graham, Q.D. Vu, J.T. Kwak, A. Gunda, R. Chunduri, C. Hu, X. Zhou, D. Lotfi, R. Safdari, A. Kascenas, A. O’Neil, D. Eschweiler, J. Stegmaier, Y. Cui, B. Yin, K. Chen, X. Tian, P. Gruening, E. Barth, E. Arbel, I. Remer, A. Ben-Dor, E. Sirazitdinova, M. Kohl, S. Braunewell, Y. Li, X. Xie, L. Shen, J. Ma, K.D. Baksi, M.A.Khan, J. Choo, A. Colomer, V. Naranjo, L. Pei, K.M. Iftekharuddin, K. Roy, D. Bhattacharjee, A. Pedraza, M.G. Bueno, S. Devanathan, S. Radhakrishnan, P. Koduganty, Z. Wu, G. Cai, X. Liu, Y. Wang, A. Sethi, "A Multi-Organ Nucleus Segmentation Challenge," in IEEE Transactions on Medical Imaging, vol. 39, no. 5, pp. 1380-1391, May 2020, doi: 10.1109/TMI.2019.2947628.

 

Conference Papers:

  • Youngin Cho,* Daejin Kim,* Dongmin Kim, Mohammad Azam Khan, and Jaegul Choo, “WaveBound: Dynamic Error Bounds for Stable Time-Series Forecasting,” Conference on Neural Information Processing Systems (NeurIPS), 2022.
  • Youngin Cho,* Daejin Kim,* Mohammad Azam Khan, and Jaegul Choo, “Mining Multi-Label Samples from Single Positive Labels,” Conference on Neural Information Processing Systems (NeurIPS), 2022.
  • Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, and Jaegul Choo, “Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization,” Winter Conference on Applications of Computer Vision (WACV), 2023.
  • Daejin Kim, Mohammad Azam Khan, and Jaegul Choo, “Not just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.      
  • Deepak Chandra Roy, Md Shazzad Hossain, Amit Kumar Das, Md. Ashraf Ali and Mohammad Azam Khan (corresponding author), “Low-Cost IoT-Based Power Interruption Monitoring System,” International Conference on Big Data, IoT and Machine Learning (BIM 2021).
  • Sultan Uddin Khan, Md Shazzad Hossain and Mohammad Azam Khan (corresponding author), “Green Energy from Cycle Rickshaws: A Novel Approach to Utilize the Impoverished Section of Bangladesh,” International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 2021.}
  • Cheonbok Park,* Yunwon Tae,* TaeHee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, and Jaegul Choo, “Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning,” Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021.}
  • Mohammad Azam Khan} and Khaled Mahmud Shahriar, “ASTERISK Based Open Source IP-PBX System for Accountable Customer Support Service,” 3rd International Symposium on Computational and Business Intelligence, Bali, Indonesia, 2015.

Workshop:

  • S.A. Yoo*, M.A. Khan*, J.H. Kim, J.Y. Hwa, S.M. Oh, J. Choo, K.H. Yang, J.T. Ahn, J.H. Lee, “Attention-based Mechanism for Acne Image Grading via Convolutional Neural Networks,” Maui Derm Hawaii 2024 January 22-26, 2024. (*: equal contributions)
  • Seong Ji Choi,* Mohammad Azam Khan,* Jin Hwa Park, Jae Hoon Yoon, Hong Sik Lee, Hoon Jai Chun, Jaegul Choo, Hyuk Soon Choi, "Development of a Video-Based Artificial Intelligence System for Enhanced Quality Control in Esophagogastroduodenoscopy," the 7th Korea Digestive and Disease Week 2023, Gut and Liver (KD, Volume 17 • Number 6 (Suppl. 1) November 2023. (*: equal contributions)
  • Mohammad Azam Khan and Jaegul Choo, “Classification of cancer microscopic images via convolutional neural networks. In Lecture Notes in Bioengineering (pp. 141-147), 2019. doi: 10.1007/978-981-15-0798-4_15
  • Mohammad Azam Khan, Yong-Hwa Kim and Jaegul Choo, "Intelligent fault detection via dilated convolutional neural networks," IEEE International Conference on Big Data and Smart Computing, Computer Society (2018), pp. 729-731.
  • Mohammad Azam Khan and Jaegul Choo., "Multi-class artefact detection in video endoscopy via convolution neural networks," In Proceedings of the 2019 Challenge on Endoscopy Artefacts Detection (EAD2019), Venice, Italy, 8th April, volume 2366 of CEUR Workshop Proceedings. CEUR-WS.org, 2019.
  • Seokwoo Jung, Sungha Choi, Mohammad Azam Khan and Jaegul Choo, "Towards Lightweight Lane Detection by Optimizing Spatial Embedding," Workshop on Perception for Autonomous Driving (ECCV 2020), arXiv: 2008.08311.

Book Chapter:

  • Anubha Gupta, Ritu Gupta, “ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging”. Conference proceedings (ISBI 2019), 2019.

Computer Vision, Medical Image Analysis, Healthcare

  • Brain Pool Invited Scientist, 2021-2023, National Research Foundation, South Korea
  • 1st Place, HeLP Challenge 2021 (Role: Advisor), Asan Medical Center, Seoul, South Korea.
  • Champion, Research and Development, BASIS National ICT Awards 2020, Dhaka, Bangladesh.
  • Winner, Technology (Artificial Intelligence), BASIS National ICT Awards 2020, Dhaka, Bangladesh.
  • 2nd Place, HeLP Challenge 2018 (Awarded KRW 1,000,000), Asan Medical Center, Seoul, South Korea.
  • 9th Place Daffodil Japan IT Online Quiz Contest Daffodil Japan IT Ltd., 2014, Dhaka, Bangladesh.
  • Nationwide one of the ten top scorers (ACI Pure Salt Deshke Jano Quiz Contest, ACI Limited, Awarded BDT 100,000), 2009, Dhaka, Bangladesh.
  • 18th Place, The ACM Asia Programming Contest, ICPC Dhaka site, 2007, East West University (Host)
  • IEEE (Institute of Electrical and Electronics Engineers)
  • Institute of Engineers, Bangladesh (IEB)
  • Bangladesh Computer Society (BCS)

1. Research Engineer

EnterTake Co., LTD.
Seoul, South Korea.
Period: From 01-01-2024 to 12-07-2024

2. Postdoctoral Fellow

The Kim Jaechul Graduate School of Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)
Daejeon, South Korea.
Period: From 01-12-2021 to 31-12-2023

3. Assistant/Sub-divisional/Executive Engineer

Dhaka Power Distribution Company Limited (DPDC)
Dhaka, Bangladesh.
Period: From 23-03-2009 to 10-11-2021

4. Teaching Assistant

Department of Computer Science and Engineering
Bangladesh University of Engineering and Technology (BUET)
Dhaka, Bangladesh.
Period: From 01-06-2008 to 22-03-2009