PhD in Computer Engineering
Institution: University Sains Islam Malaysia (USIM), Malaysia
Year of Pass: Appeared

Master of Science in Telecommunication Engineering 
Institution: Independent University, Bangladesh. 
Year of Pass: 2008

Bachelor of Science in Computer Science 
Institution: Independent University, Bangladesh. 
Year of Pass: 2004

INTERNATIONAL INVITED SPEAKER & ACADEMIC ENGAGEMENTS

• Invited Trainer, International Faculty Development Program (IFDP)
  Chandigarh University, India (July 2024)
• Session Chair (Invited)
  IEEE Engineering in Medicine & Biology Society Conference
  Malaysia (2018)
• Session Chair (Invited)
  International Conference on Information Technology and Electrical Engineering (ICITEE)
  Pattaya, Thailand (2019)
• Session Chair (Invited)
  International Conference on Informatics, Electronics & Vision (ICIEV)
  Fukuoka, Japan (2015)
• International Conference Speaker & Contributor
  ICACCI Conference, Bangalore, India (2018)

MAJOR PROJECT SUPERVISION:

1. Automated System for Monitoring and Alerting Abnormal Bearing Pad Movement in Metro Rail Pillars. [National Project]

2. AI Professor [AI Base LMS System]

3. AI Base Health Monitoring System for pageant Women

4. AI Base DIU Surveillance System

INDUSTRY COLLABORATION

• Brainstation 23.
• BJIT
• DataSoft
• Soft BD Limited
• Daffodil Software Ltd.

PATENT:

• Invention Title: Automated System for Monitoring and Alerting Abnormal Bearing Pad Movement in Metro Rail Pillars. [ No. BD-P-2026-66, Publication No: 32 & Date: 17 June 2026]

JOURNAL:

• Hemal, M.M., Akter, F., Mollah, M.S.H., Kader, M.N., Aurpa, T.T., Sheikh, R. and Hasan, S., 2026. GreenGuard: A Neuro-Symbolic Edge-LLM Controller for Safe and Energy-Aware Greenhouse Microclimate Regulation. Smart Agricultural Technology, p.102186. [Q1]
• Mim, T.J.H., Hassan, M.M., Paul, B.K. and Mollah, M.S.H., 2025. Machine Learning Approaches for Cardiovascular Disease Prediction: A Comparative Study. Biomedical Materials & Devices, pp.1-15. [Q1]
• Hassan, M.M., Uddin, M.S., Aktar, M.N., Morshed, M., Ahmed, K., Paul, B.K. and Mollah, M.S.H., 2025. Design and investigation of dual-guided optical fiber with 60 OAM and 6 LP modes for ultra-high optical communication. Discover Applied Sciences, 7(4), p.256. [Q2]
• Ansary, K., Hassan, M.M., Ali, M.N.B., Israfil, F.N.U., Mollah, M.S.H., Bhuiyan, A.B.K. and Paul, B.K., 2025. Design of a nested photonic crystal fiber supporting 76+ 36 OAM modes for fiber communication. Journal of Computational Electronics, 24(1), pp.1-15. [Q3]
• Hossain, M.S., Mollah, M.S.H., Rahman, M.H. and Sen, S., 2024. Design and performance analysis of PCF-based octagonal chemical sensor to detect benzene, ethanol, and water in terahertz spectrum. Results in Optics, 14, p.100599. [Q2]
• Mollah, M.S.H., Abdullah-Al-Shafi, M., Hossain, M.S. and Sen, S., 2021. An ultra-low material loss ellipse core-based photonic crystal fiber for terahertz wave guiding: design and analysis. Journal of Computational Electronics, 20(4), pp.1541-1548. [Q3]
• Hossain, M.S., Hasan, M.M., Sen, S., Mollah, M.S.H. and Azad, M.M., 2023. Simulation and analysis of ultra-low material loss of single-mode photonic crystal fiber in terahertz (THz) spectrum for communication applications. Journal of Optical Communications, 44(s1), pp.s631-s639. [Q3]
• Hossain, M.S., Kamruzzaman, M.M., Sen, S., Azad, M.M. and Mollah, M.S.H., 2021. Hexahedron core with sensor based photonic crystal fiber: An approach of design and performance analysis. Sensing and Bio-Sensing Research, 32, p.100426. [Q2]
• Islam, C.S. and Hossain Mollah, M.S., 2019. Challenges of the Promise of Internet of Things (IoT) in Multi-Hop Communication Systems. International Journal of Simulation: Systems, Science & Technology, 20, pp.21-1. [Q4]
• Ahmed, M. and Mollah, M.S.H., 2014. Audio Codecs in VoIPv6: A Performance Analysis. International Journal of Computer Network and Information Security, 6(5), p.50. [Q3]

BOOK CHAPTER:

• Lira, M.H., Cruze, F.R.D., Faruk Hosen, M., Suhag Ali, M., Nasimul Kader, M. and Mollah, M.S.H., 2025, September. EcoFarm 360: A Data-Driven IoT System for Optimized and Sustainable Farm Management. In International Conference on Big Data, IoT and Machine Learning (pp. 146-159). Cham: Springer Nature Switzerland.

• Cruze, F.R.D., Wasima, J., Hosen, M.F., Islam, H., Kader, M.N. and Mollah, M.S.H., 2025, September. Comprehensive Bioinformatics and Machine Learning Analyses to Identify Molecular Signatures and Pathways in Colon Cancer and Obesity. In International Conference on Big Data, IoT and Machine Learning (pp. 1-13). Cham: Springer Nature Switzerland.

CONFERENCE:

• Mollah, M.S.H., Marhusin, M.F.B. and Omar, S.N., 2025, February. A robust malware detection framework using control flow graphs, node2vec, and gcn integration. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
• Nirob, R.H., Mollah, M.S.H., Wasima, J., Kuddus, M.R. and Cruze, F.R.D., 2025, December. Advanced Malware Detection Through Function Call Graph Analysis with Graph2Vec Embeddings and Graph Attention Networks. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 2878-2883). IEEE.
• Khatun, M.A., Hosen, M.F., Mollah, M.S.H., Uddin, M.S. and Morshed, M., 2025, October. Exploring Biomarkers and Pathways in Preeclampsia and Cardiovascular Diseases: A Bioinformatics and Machine Learning Approach. In 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-6). IEEE.
• Cruze, F.R.D., Khatun, A., Hosen, M.F., Mollah, M.S.H., Kader, M.N. and Uddin, M.S., 2025, February. Leveraging Machine Learning to Uncover Molecular Pathways and Candidate Drugs in Ovarian Cancer and Polycystic Ovary Syndrome. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
• Cruze, F.R.D., Hosen, M.F., Ali, M.S., Mollah, M.S.H., Uddin, M.S. and Morshed, M., 2024, October. Unveiling Fake News with an Attention-Based CNN Model Using Hybrid Features. In 2024 2nd International Conference on Information and Communication Technology (ICICT) (pp. 41-45). IEEE.
• Bose, U., Rooman, M.H., Bhuiyan, T., Mollah, M.S.H., Hassan, M.M. and Paul, B.K., 2024, November. Unveiling Shared Gene Regulatory Networks and Pathways in Bipolar Disorder and Alzheimer’s Disease: Identifying Novel Therapeutic Targets and Drug Candidates. In 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (pp. 103-108). IEEE.
• Wasima, J., Hosen, M.F., Cruze, F.R.D., Kader, M.N., Mollah, M.S.H. and Uddin, M.S., 2024, December. Integrated Bioinformatics and Machine Learning Analysis Uncovers Key Pathways and Therapeutic Targets for Hypertension and Chronic Kidney Disease. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 2192-2196). IEEE.
• Sarker, R.P., Chowdhury, S., Bhuiyan, T., Mollah, M.S.H., Hassan, M.M. and Paul, B.K., 2024, November. Leveraging Machine Learning for Early Detection and Intervention in Polycystic Ovary Syndrome (PCOS): A Predictive Model Approach. In 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) (pp. 119-124). IEEE.
• Hosen, M.F., Yasmin, M.F., Basar, M.A., Trisha, A.F., Shadhin, K.A., Mollah, M.S. and Uddin, M.S., 2023, December. Identification of Candidate Drugs and Molecular Pathways for Pulmonary Arterial Hypertension and Chronic Kidney Disease. In 2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI) (pp. 1-5). IEEE.
• Basar, M.A., Hasan, M.R., Paul, B.K., Shadhin, K.A. and Mollah, M.S., 2023, June. A system biology and bioinformatics approach to determine the molecular signature, core ontologies, functional pathways, drug compounds in between stress and type 2 diabetes. In International Work-Conference on Bioinformatics and Biomedical Engineering (pp. 320-331). Cham: Springer Nature Switzerland.
• Mollah, M.S.H., Faruk, O., Hossain, M.S., Islam, M.T., Shafi, A.S.M. and Molla, M.I., 2021, April. Design and performance improvement of microstrip patch antenna using graphene material for communication applications. In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 343-346). IEEE.
• Samrin, N.A., Suzan, M.M.H., Hossain, S., Mollah, M.S.H. and Haque, M.D., 2022. Analysis of COVID-19 Trends in Bangladesh: A Machine Learning Analysis. In AI and IoT for Sustainable Development in Emerging Countries: Challenges and Opportunities (pp. 611-625). Cham: Springer International Publishing.
• Islam, C.S. and Mollah, S.H., 2019, October. The X-Layer Optimization in CRN Using Deep Q-Network for Secure High Speed Communication. In 2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) (pp. 1-6). IEEE.
• Islam, C.S. and Mollah, M.S.H., 2018, September. Notice of Violation of IEEE Publication Principles: Cooperative Spectrum Prescience for Advanced Performance of Cognitive Radio Networks (CRNs). In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2301-2307). IEEE.
• Islam, C.S. and Mollah, M.S.H., 2018, December. A novel idea of malaria identification using Convolutional Neural Networks (CNN). In 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (pp. 7-12). IEEE.
• Islam, C.S. and Mollah, M.S.H., 2015, June. Timing SCA against HMAC to investigate from the execution time of algorithm viewpoint. In 2015 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 1-6). IEEE.
• Islam, C.S. and Mollah, M.S.H., 2014, December. A novel node mobility (NoM) approach of cognitive Radio Networks (CRNs) communication in beyond 4g spectrum management (SM). In 2014 17th International Conference on Computer and Information Technology (ICCIT) (pp. 477-481). IEEE.
• Islam, C.S. and Mollah, M.S.H., 2014, April. A novel idea of spectrum management (SM) using spectrum load balancing (SLB) algorithm. In 2014 International Conference on Electrical Engineering and Information & Communication Technology (pp. 1-4). IEEE.
• Chowdhury Sajadul Islam, Prof. M. Abdus Sobhan, Zahangir Alom, Sarwar Hossain,Mollah “On the Security Issues of WiFi Wireless Networks” International Conference on Electronics, Computer and Communication, June 27-29, 2008, Bangladesh Electronics Society, Rajshahi Chapter, Rajshahi, Bangladesh, pp 872-875.
• Chowdhury Sajadul Islam, Md. Zahangir Alam, Prof. M. Abdus Sobhan, Hossain Mollah “QoS Issues of Applying PNRP in a MANET”, 2nd national conference on Computer and Information Technology, 24 November 2007, Daffodil International University, Bangladesh, pp 192-197.

Thesis Supervision

1. Enhanced Malware Detection for Linux-OS Using Control Flow Graphs with Graph2Vec Embedding and Graph Attention Networks. - Sorifa Alam (213-16-586)
2. PE Malware Detection Through Function Call Graph Analysis- Rakibul Hasan Nirob (221-16-615) [2026]
3. Early Detection of Pneumonia from Chest X-ray Images Using Convolutional Neural Networks (CNNs) – Ronit Dev (221-16-600), [2026]
4. Attention-Enhanced Convolutional Neural Networks with SHAP-Based Interpretability for Thyroid Disease Diagnosis: Comparative Analysis with Machine Learning Models – Sadia Islam Aurchy (221-16-625), [2026]
5. Portable Executable Malware Detection Using Api Call Graph Analysis - Md Parves Zaman (221-16-628), [2026]
6. An ACG-Based Linux Malware Detection Framework Integrating Dual-Branch Attention GraphSage- Sadman Chowdhury (222-16-662), [2026]
7. Mapping The Threat: A Hybrid Topological Framework For Android Security – Mashrur Kabir (222-16-657), [2026]
8. A Malware Detection Framework Using Function Call Graph in Linux - Ishita Islam (222-16-658), [2026]
9. The Neural Sovereignty: A Deep Learning Framework for Detecting Shadow IT and Mitigating Governance Risks in the Modern Enterprise – Fatima Tuj Juhra Sadia (222-16-667), [2026]

50+ Thesis Supervision

• AI in Health, AI in Agriculture and AI in Cyber Security
• Machine Learning
• Deep Learning

Academic Director & Head
Daffodil International Academy
(Affiliated with NCC Education, UK & University of Greenwich, UK)

• Led UK-based higher education programs
• Managed international curriculum delivery and academic operations
• Strengthened global academic networks and partnerships