Malaysia-Japan International Institute Technology (MJIIT)
Software Engineering Industrial Revolutions (SEIR)
The Software Engineering Industrial Revolution (SEIR) Lab is a vibrant research and innovation hub situated at Level 3 of the MJIIT building, UTM Kuala Lumpur. The lab is actively supported by the student association SOF-EA (Software Engineering Association) and serves as a collaborative space for students, researchers, and industry partners.
In the era of Industry 4.0, we are experiencing a transformative convergence between the physical and digital worlds through technologies such as Artificial Intelligence (AI) and Machine Learning (ML). These systems not only monitor and interact with physical environments in real time but also communicate, collaborate, and make intelligent decentralized decisions and drastically change how we live, work, and build systems.
At the core of this transformation is software engineering, which plays a crucial role in powering smart, autonomous, and connected systems. The SEIR Lab embraces this shift by focusing on advanced software development practices, integrating AI and ML applications in real-world domains such as predictive maintenance, intelligent automation, adaptive systems, and data-driven decision making.
The iKohza of SEIR was established to spearhead fundamental and applied research in software engineering for the industrial revolution era. Through collaborative projects, industry engagement, and training initiatives, the lab aims to strengthen technical competencies among students and members, and foster innovation in building resilient, scalable, and intelligent software solutions for modern challenges.
Whether it’s through academic research, innovation workshops, or student-driven initiatives, the SEIR Lab continues to empower future software engineers with the tools and mindset needed to thrive in a digitally connected world.
Basic Information
iKohza Name: Software Engineering Industrial Revolutions (SEIR)
Leader's Name and Title: Hamido Fujita (Prof. Dr.)
Deputy Leader (if any): Siti Nur Khadijah Aishah binti Ibrahim (Dr.)
Main Contact Email: fujitahamido@utm.my
Location/Office: 03-07-01, Level 3 MJIIT
Website or Social Media (if available): https://sites.google.com/utm.my/seir-ikohza/home
Research Focus Areas
Main Research Themes/Keywords :
Software Engineering, Industry 4.0, Artificial Intelligence (AI), Machine Learning (ML), Smart Systems Development, Intelligent Automation, Data-Driven Decision Making, Adaptive and Resilient Software, Human–Machine Collaboration, Cybersecurity
Description of Research Focus Areas :
The Software Engineering Industrial Revolution (SEIR) Lab focuses on advancing software technologies to support the digital transformation driven by Industry 4.0. Our research explores the integration of software engineering practices with emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Cyber-Physical Systems (CPS) to build intelligent, interconnected, and adaptive systems. Key focus areas include the development of smart automation, predictive analytics, and data-driven decision-making frameworks across various domains. Cybersecurity is also embedded in our work to ensure that these intelligent systems are not only efficient but also secure, trustworthy, and resilient against evolving threats. The lab emphasizes system resilience, software quality, and human–machine collaboration through innovative design, development, and testing strategies. In addition to industry collaboration, the SEIR Lab actively engages in research partnerships with other universities, both local and international. We host mobility research students and visiting professors, fostering global knowledge exchange and interdisciplinary innovation. Through both fundamental and applied research, SEIR Lab aims to bridge academic knowledge with real-world needs, cultivating a new generation of software engineers capable of delivering robust, scalable, and intelligent software solutions.
Facilities and Equipment
Laboratories Used (if applicable):
Key Equipment/Technology Available (with brief descriptions):
Research Projects
List of Ongoing/Recent Projects or Grants :
- UTM Grant (2024) - Optimizing CNN-LSTM to Enhanced Temporal Analysis and AI-Based Artifact Detection for Reliable Deepfake Identification. PI : Liyana Adilla Burhanuddin (Ts. Dr.)
- UTAR RF (2024) – Optimizing CNN Models through Adaptive Hyperparameter Tuning for Medical Images. Co-researcher : Liyana Adilla Burhanuddin (Ts. Dr.)
Research Outputs
Selected Publications :
1. Nazrin, S. N., Burhanuddin, L. A., Jothi, N., Zaman, H. B., & Rosnan, M. F. B. (2025). DeepForgery Images Detection Using Deep Learning Approaches and Error Level Analysis. JOIV: International Journal on Informatics Visualization, 9(2), 528-533. DOI: 10.62527/joiv.9.2.3504
2. Nazrin, S. N., Doroody, C., Burhanuddin, L. A., Jothi, N., Ibrahim, N., Zaman, H. B., & Sharma, S. (2025). Machine Learning-Driven Prediction of Optical and Physical Properties in Lanthanum and Gold-Doped Zinc Borotellurite Glasses for Optoelectronic Applications. Ceramics International.DOI: 10.1016/j.ceramint.2025.04.231. DOI: 10.1016/j.ceramint.2025.04.231
3. Nazrin, S. N., Burhanuddin, L. A., Zaman, H. B., Fudzi, F. M., & Shaaban, I. A. (2025). Integrating machine learning and experimental data in modeling optical behaviors of neodymium oxide nanoparticle-doped glasses. The European Physical Journal Special Topics, 1-24. DOI: 10.1140/epjs/s11734-025-01572-5.
4. Burhanuddin, L.A.b., Shibghatullah, A.S.B., Ilias, I.S.C., Zainudin, Z.B., Zamry, N.B.M. (2025). AI-Enhanced Cybersecurity: A Comprehensive Review of Techniques and Challenges. Current and Future Trends on AI Applications: Studies in Computational Intelligence, vol 1178. Springer, Cham. DOI: 10.1007/978-3-031-75091-5_7
5. Ilias, I. S. C., Mustapha, J. C., Burhanuddin, L. A., & Al-Sharafi, M. A. (2024). Fortifying Information System and Cybersecurity in Engineering Education: A Thematic Review. Journal of Advanced Research Design, 122(1), 85-99. DOI: 10.37934/ard.122.1.8599
Patents (if any):
Collaboration and Outreach
Current National and International Collaborations:
Joint Programs/Student Exchanges/Industrial Engagements:
1. Mario Bonfrisco
PhD in Economics and Quantitative Methods
University of Genoa, Genoa, Italy
2. Faheem shehzad
Phd in Artificial intelligence
Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy
Community Engagement (if any):
Members
Academic Staff (Name, Position, Area of Expertise):
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PROFESSOR Hamido Fujita (Prof. Dr.) Expertise: Machine Learning, Software Engineering Specification and Requirement Validation Techniques.
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SENIOR LECTURER Expertise: Software Engineering, Machine Learning, System Design & Analysis, Engineering Education, Educational Technology |
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SENIOR LECTURER Expertise: Machine Learning, Deep Reinforcement Learning Artificial Intelligence (AI), Cybersecurity, Image Detection, Software Development and Communication Networks |
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SENIOR LECTURER Expertise: Numerical Methods, Hydrological Modeling, AI and Deep Learning, Physics-Informed Neural Networks for Flood Routing, and Geographic Information System (GIS) |
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SENIOR LECTURER Expertise: Optimization, Metaheuristic, Operations Research, Machine Learning, Software Engineering |
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SENIOR LECTURER Expertise: Machine Learning, Pattern Recognition, Engineering Education, Educational Technology |
Postdocs/Researchers: Postgraduate Students:
| NO | STUDENTS’ NAME | RESEARCH LEVEL & TITLE | SUPERVISOR/S |
| 1 | ARPA MAJUMDER (MMJ243020) |
MASTER DEGREE Exploring Decentralized Social Networking on Ethereum Through a Hybrid Approach Using Cryptocurrency, Machine Learning, and Blockchain Data Analysis |
Main SV: Co-SVs: |
| 2 | CLIVE LAI YI CHENG (PMJ233028) |
DOCTOR OF PHILOSOPHY (PHD) Phishing URL Detection Based on Natural Language Processing and Graph Convolutional Network |
Main SV: Ali Selamat (Prof. Ts. Dr.) Siti Nur Khadijah Aishah Binti Ibrahim (Dr.) |
| 3 | FATIN LIYANA BINTI MUHAMEDIN (900227105274) September 2025 Intake |
DOCTOR OF PHILOSOPHY (PHD) Implementation of Virtual Labs for Power Systems Training in Malaysian Technical and Vocational Institutions |
Main SV: Nurzal Effiyana Binti Ghazali (Dr.) Co-SV: Siti Nur Khadijah Aishah Binti Ibrahim (Dr.) Nur Hazirah Binti Noh@Seth (Dr.) |
| 4 | MOHAMAD FADZNI AIDIL BIN MOHD RUSYIDI (980826025789) September 2025 Intake |
MASTER DEGREE Advanced Malware Detection and Classification Using Hybrid Deep Learning Techniques and Memory Forensics in PE Executables |
Main SV: Siti Nur Khadijah Aishah Binti Ibrahim (Dr.) Co-SV: (Prof. Ts. Dr.) |
| 5 | FARHANA BINTI ABDULLAH ASUHAIMI |
DOCTOR OF PHILOSOPHY (PHD) A Research-Based Learning Model for Postgraduate IT Students Diagnosed With Depression and Anxiety |
Main SV: Ali Selamat (Prof. Ts. Dr.) Co-SV: Zatul Alwani Shaffiei (Dr.) |
| 6 | SAMEH ABDULLAH SAEED BELLEGDI - |
DOCTOR OF PHILOSOPHY (PHD) Explainable Machine Learning for Intrusion Detection |
Main SV: Ali Selamat (Prof. Ts. Dr.) Co-SV: Zatul Alwani Shaffiei (Dr.) |
| 7 | MUHAMMAD 'AMMAR BIN MUHAMMAD SANI - |
DOCTOR OF PHILOSOPHY (PHD) An Improved Ensemble Learning Technique for Imbalanced Multiclass and Multivariate Datasets to Enhance Supervised Learning |
Main SV: Ali Selamat (Prof. Ts. Dr.) Co-SV: Zatul Alwani Shaffiei (Dr.) |
| 8 | NOOR MOHAMED BIN MOHD YOUSOF |
MASTER DEGREE Data Science Paradigm in Examining the Ontology of Quranic Learning for the purpose of developing a comprehensive study guide database for non Arabic speakers |
Main SV: Ali Selamat (Prof. Ts. Dr.) Co-SV: Zatul Alwani Shaffiei (Dr.) |
Photos and Media
Group Photo (recommended):
Some of our lab members participated in the meet and greet session with lecturers and students, also known as SOFEA (Students of SEIR).
Activity or Lab Photos (optional):
Logo (if any):
Introductory Video
Link to Video:
Refer to the sample video shared: