Muhammad Ameen
Professional Summary
I am a researcher focused on privacy-preserving distributed machine learning, with particular expertise in Federated Learning, Federated Unlearning, and Semantic Communication. With an MS in Computer Science and Technology from Dalian University of Technology, China. I have authored multiple publications in top-tier and highly selective venues, including IEEE Transactions on Mobile Computing (IF: 9.2), Neural Networks (IF: 6.3), and IEEE Transactions on Sustainable Computing, as well as selective international conferences such as IEEE/ACM IWQoS. My master's work was recognized with several awards, including "Outstanding Master’s Thesis Award" and "Outstanding Graduate Award". I possess strong technical skills in Python (PyTorch, NumPy), along with 2+ years of professional job experience. In addition, I actively contribute as a reviewer for top-tier journals of IEEE, Elsevier, and ACM, and I am seeking a PhD research position to advance cutting-edge research in related fields.
Academic Qualifications
Master of Computer Science and Technology (MSCS)
Dalian University of Technology, Dalian, China (Sep 2022 -- Jul 2025)
Major: Computer Science | CGPA: 3.66/4.00
Thesis: Research on Model Robustness Optimized Federated Unlearning
Honors: Outstanding Master’s Thesis Award; Outstanding Graduate Award (Top 5%)
Bachelor of Science in Information Technology (BSIT)
Bahria University, Islamabad, Pakistan (Feb 2017 -- Feb 2021)
Major: Information Technology
Publications
Journal Papers
- Muhammad Ameen, Riaz Ullah Khan, Pengfei Wang, Sidra Batool, Masoud Alajmi. Addressing Unreliable Local Models in Federated Learning Through Unlearning. Neural Networks 2024
- Muhammad Ameen, Pengfei Wang, Weijian Su, Xiaopeng Wei, Qiang Zhang. Speed up Federated Unlearning with Temporary Local Models. IEEE Trans. Sustain. Comput. 2025
- Weijian Su, Pengfei Wang, Zhiyi Wang, Muhammad Ameen, Xiangrong Tong, Qiang Zhang. F2UL: Fairness-aware Federated Unlearning for Data Trading. IEEE Trans. Mob. Comput. 2024
- Zhenwei Wang, Pengfei Wang, Guangjie Han, Jianxin Zhang, Qing Lin, Muhammad Ameen, Qiang Zhang. Inverse Feature Consistency Federated Unlearning for Vision-Language Model. IEEE Trans. Mob. Comput. 2025
- Sidra Batool, Saima Noreen, Dong Bo, Danish Ali, Muhammad Ameen. Electroosmotically-Driven Heat Transfer Analysis of Micropolar Fluid in Tapered Channel Through Modified Darcy's Porosity. Special Topics & Rev. Porous Media 2025
Conference Papers
- Muhammad Ameen and Pengfei Wang. Lightweight Federated Unlearning for IoT Sensing Systems. IEEE MSN, Dec. 2024
- Pengfei Wang, Muhammad Ameen, Mingshu Zhao, Pai Liu, Qiang Zhang. Eliminating Poor-quality Data Impacts from Multiple Participants with Federated Unlearning. IEEE/ACM IWQoS, Jul. 2025
- Zishuo Song, Yuzhu Pan, Mingshu Zhao, Muhammad Ameen, Zhenwei Wang, Pengfei Wang. Trustworthy Distributed Decision-making for Multi-view Sensing Data. AIoTSys, Jul. 2025 (accepted and presented)
- Hasin Bano, Muhammad Ameen*, Muntazir Mehdi, Amaad Hussain, Pengfei Wang. Federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions. RTIP2R, Springer, Jan. 2023
- Muhammad Ameen, Amaad Hussain, Rukhsana, Maqbool Hussain, Songyoung Lee. BioKG: An Analytical Web-based Portal for Clinical Decision Support Using Clinical and Genomic Data. ICNGC, South Korea, 2021
Manuscripts Under-review
- Muhammad Ameen, Jing Yang, Hussain Nizam, Sidra Batool, Zaffar Ahmed Shaikh, Amel Ksibi. DEFul: Interaction-aware Federated Unlearning for Data Exchange Networks. IEEE IoT Journal, 2026
Professional Experience
- IT Technical Support Engineer, Swansea Enterprises (Pvt.) Ltd, Rawalpindi, Pakistan (Jun 2021 -- Aug 2022)
Provided end-to-end technical support for enterprise IT infrastructure, including system configuration, software installation, and routine maintenance of workstations. Diagnosed and resolved intermediate-level network and application-level issues, assisted in internal system documentation. - IT Intern, Bahria University Endowment Fund Trust (BUEFT), Islamabad (Sep 2020 -- Mar 2021)
Assisted the IT department with data entry, system monitoring, and preparation of technical presentations, including PowerPoint and Photoshop materials related to IT systems, workflows, and internal software usage for reporting and briefing purposes. - Customer Service Representative, Amigos Outreach, Rawalpindi, Pakistan (Sep 2018 -- Dec 2019)
Managed client communications, service requests, and timely resolution of customer concerns.
Professional Services
Reviewer for:
- IEEE Transactions on Information Forensics & Security (IEEE-TIFS)
- IEEE Transactions on Sustainable Computing (IEEE-TSUSC)
- Information Sciences (Elsevier)
- Neural Networks (Elsevier)
- ACM Transactions on Privacy and Security (ACM TOPS)
- Advances in Science, Technology and Engineering Systems Journal (ASTESJ)
- International Conference on Computer, Information, and Telecommunication Systems (CITS)
- International Conference on Electrical, Computer, and Energy Technologies (ICECET)
Skills
Technical Proficiencies:
Programming Languages: Python (PyTorch), C++, C#
Machine Learning Implementation: Implementation and optimization of federated learning pipelines, unlearning mechanisms, distributed training workflows, and model evaluation under privacy constraints.
Software & Frameworks: PyTorch, NumPy, LaTeX, Git
Organizational and Leadership Skills: Effective multitasking, team management, collaborative teamwork, punctuality, and time management practices.
Certificates:
- Reviewer Certificate -- IEEE Transactions on Sustainable Computing 2024
- Certificate of Participation -- International Climate Hack (Singapore Intl Foundation) 2022
- AWS Machine Learning Foundations -- AWS Machine Learning Scholarship 2021
- Coursera Project Certificate -- Build a Full Website using WordPress 2021
- Certificate of Participation -- PTCL Idea Hackathon 2020
- Language Certificate -- English language course 2014
- Extra-curricular Certificates including Art Workshop, multiple blood donation certificates etc ---
Awards
- 2nd Prize -- Artificial Intelligence+ Special Track, 19th Challenge Cup China Mobile National UG Competition 2025
- Special Prize -- 17th Challenge Cup, Liaoning Province 2025
- 1st Prize -- 1st National International Graduate Academic Forum & 4th "Study at DUT" Forum 2025
- Honor: "Excellent Work" -- 1st Study at DUT Intl Graduate Research Achievement Poster Exhibition 2025
- Outstanding Master's Thesis Award -- School of Computer Science and Technology, DUT 2025
- Outstanding Graduate Award -- School of International Education, DUT (Top 5%) 2025
- Honorary Credential, Session Chair -- 20th International Conference on Mobility, Sensing and Networking (MSN) 2024
- Gold Medal -- 3rd Liaoning International Student Innovation Competition 2024
- Academic Star Award -- DUT International Student Comprehensive Incentive Evaluation 2024
- 2nd Prize -- 3rd "Study at DUT" Chinese and Foreign Postgraduate Academic Forum 2024
- 2nd Prize -- 1st Doctoral Academic Forum, School of Computer Science and Technology, DUT 2024
- Chinese Government Scholarship -- High-level Postgraduate Program (Type B) 2023
- Merit-Based Laptop -- PM Laptop Scheme 2021
Languages
English (Fluent) || Urdu (Fluent) || Chinese (Basic)