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

Online/Coursera:

• AI‑Powered Cloud Transformation, Redington & ImpactEra, Jun. 2026
• Gemini for Google Workspace and Productivity, Redington & ImpactEra, Jun. 2026
• MCP and Agentic AI, Redington & ImpactEra, Jun. 2026
• Building AI Agent with Copilot Studio, JetBrains, Jun. 2026
• AI Foundry Essentials, Redington & ImpactEra, Jun. 2026
• AI‑Powered Higher Education, Arizona State University, Coursera, May. 2026
• Explainable AI for Everyone, Edureka, Coursera, Apr. 2026
• Responsible AI for Everyone, Edureka, Coursera, Oct. 2025
• AI Agents and Agentic AI with Python & Generative AI, Vanderbilt University Coursera, Apr. 2025
• Machine Learning, Stanford | Online Coursera, Feb. 2017
• Fundamentals of Scalable Data Science, Coursera, Feb. 2017
• Coursera Mentor Community and Training Course, Coursera, Jun. 2016
• Python for Everybody (Specialization), Coursera, May. 2016
• Data Science (Specialization), Coursera, Apr. 2016

Daffodil International University, DSC, Birulia, Ashulia, Savar, Dhaka, Bangladesh:

• Training of Trainers (ToT) Program on Intellectual Property, Innovation, Patent and Commercialization Education Initiative, Jul. 2026
• Workshop on OBE Curriculum Practice and CQI, Jun. 2026
• Training on IonCUDOS, Aug. 2025
• Developing a Teaching Dossier/Portfolio, Aug. 2025
• Training session on exam invigilation duties, Aug. 2025
• Learner‑Centric Classroom for Teachers, Jul. 2025
• Engaging Classroom and Interactive Teaching, Jun. 2025
• Teaching Dossiers and How to Make It for Teaching Career, May. 2025
• Workshop on Lab Course File Preparation According to OBE, Mar. 2025
• Using AI for Teaching and Lesson Planning, March 2025
• Workshop on Course File Preparation and Outcome‑Based Education (OBE), Feb. 2025
• Orientation and Induction Training for Newly Appointed Teachers, 2025

Dhaka Power Distribution Company Limited (DPDC), Dhaka, Bangladesh:

• Annual Performance Agreement (APA), Apr. 2021
• Prepayment Metering System, Sep. 2015
• Training of the Trainer (TOT), Aug. 2015
• Procurement of Goods, Works And Service, Apr. 2015
• Personnel Management Information System and File Tracking System etc, Jun. 2014
• Practical Application of Total Quality Service (TQS) Software, Jan. 2014
• Introduction to Organization, Power System Network Operation, Commercial Activities, etc., Apr. 2013
• Professional Ethics, Organizational Behavior, etc., Oct. 2012
• Customer Care, Apr. 2012
• Performance Improvement & Better Customer Service, Apr. 2011
• Orientation Training Program, Apr. 2009

Others:

• Kakaocloud Kubeflow, Kakao Enterprise | Kakao Cloud, South Korea, Jan. 2026
• Computer Aided Project Management Using MS Project, Power Division, Ministry of Power, Energy and Mineral Resources, Government of Bangladesh, Jun. 2013
• Public Procurement training course Under PPRP‑II, The Central Procurement Technical Unit (CPTU), Apr. 2010

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Big Data Analytics
• Data Analytics and Business Modeling
• Structured programming
• Data Structure
• Algorithm Design & Analysis
• Computer Networks

Journals:

• Most Munira Tabassum, Fyaz Rayat Ahmed, and Mohammad Azam Khan, "LightVegNet: A Lightweight Convolutional Neural Network for Vegetable Classification," Food and Humanity, Volume 7, 2026. (IF: 3.5, as of 2026, Corresponding Author)
• Abdul Kadar Muhammad Masum, Md. Abul Kalam Azad, Mirza Nadim Saad, Al-Amain, Mohammad Azam Khan, A. B. M. Yasir Arafat, "Audit-Ready Machine Learning for Short-Horizon Equity Prediction: A Dual-Target Benchmark With Fold-Isolated Preprocessing," Engineering Reports, 8 (6), 2026. (IF: 2.9, as of 2026)
• 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, 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, "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, IF: 5.875, as of 2018)
• 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. (IF: 2.474, as of 2020)
• 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. (IF: 0.736, as of 2019)
• 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. (IF: 4.379, as of 2020)
• 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. (IF: 10.048, as of 2020)

Conference Papers:

• F. M Abdun Noor, Md Imam Ahasan Mohammad Azam Khan, and Guangchao Yang, “GeGLUNet: Structural Retinal Vessel Segmentation via Attention-Gated GeGLU and Contrastive Supervision,” The 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2025), 2025.
• 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, “Low-Cost IoT-Based Power Interruption Monitoring System,” International Conference on Big Data, IoT and Machine Learning (BIM 2021). (corresponding author)
• Sultan Uddin Khan, Md Shazzad Hossain and Mohammad Azam Khan, “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. (Corresponding author)
• 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:

• 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.

AI, ML/DL, LLM Reasoning, Agentic AI, SLMs, Medical Image Analysis

• Team Bangladesh, which was coached by me, made history by winning three of the ten Gold Medals at the Asia-Pacific Olympiad in Artificial Intelligence (APOAI) 2026. The gold medal-winning team was subsequently invited to meet the Honorable Prime Minister of Bangladesh, Tarique Rahman, in recognition of this historic success.
• Coach, Team Bangladesh, The Asia‑Pacific Olympiad in Artificial Intelligence (APOAI) 2026, China
• Judge, IEEE International Congress on AI & Digital Health Innovation (ICADHI 2026), DIU Dhaka, Bangladesh
• Judge, The Infinity AI BuildFest 2026, BRAC University Dhaka, Bangladesh
• Co‑Convener, AI Project Competition 2026, Daffodil International University Dhaka, Bangladesh
• Judge, National AI Build‑a‑thon 2026, MillionX Bangladesh Dhaka, Bangladesh
• Mentor and Coach, Bangladesh National AI Team, International Olympiad in AI 2025 Beijing, China
• Convener, Agentic AI Competition 2025, Daffodil International University Dhaka, Bangladesh
• Judge, Bangladesh AI Olympiad 2025 organized by DIPTI Dhaka, Bangladesh
• Judge, 3MT Competition, Daffodil International University Dhaka, Bangladesh
• Member, Technical Setup, ACM ICPC Asia Dhaka Regional 2024 Dhaka, Bangladesh
• 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.
• Red Hat Certified Architect (RHCA), Red Hat, Feb. 2016
• IT Engineers Examination (ITEE), Level 2 FE (passed in the first attempt), Oct. 2014
• 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. Assistant Professor
Department of Software Engineering (SWE)
Daffodil International University (DIU)
DSC, Birulia, Ashulia, Savar, Dhaka, Bangladesh.
Period: From 13-07-2024 to 31-08-2025

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


3. 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

4. Assistant/Sub-divisional/Executive Engineer
Dhaka Power Distribution Company Limited (DPDC)
Dhaka, Bangladesh.
Period: From 23-03-2009 to 10-11-2021

5. 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