Mahbub Ul Islam Khan (Nibir)
Mahbub Ul Islam Khan (Nibir)
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Master’s in Nanoscience and Nanotechnology, University of Siegen, Germany.
Bachelor's in Electrical and Electronics Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh.
E-mail: nibirmahbub@gmail.com
Who am I?
Who am I?
I'm Mahbub Ul Islam Khan, an engineer and researcher specializing in power systems, machine learning applications, and nanotechnology. Currently pursuing a Master’s in Nanoscience and Nanotechnology at the University of Siegen, my passion lies at the intersection of technology and innovation.
Through this platform, I aim to share my professional journey, research contributions, and ongoing projects in fields like electric vehicle technology, fault detection systems, and STEM education advocacy. Explore my work, connect with me, and join me in advancing the frontiers of engineering and science!
Research Interest
Research Interest
Power and Energy Systems, Electronics, Microsystems, Automation, Artificial Engineering.
Education
Education
Since 10/2024
University Of Siegen, Germany
M. Sc. in Nanoscience and Nanotechnology
01/2016 -- 12/2022
Hajee Mohammad Danesh Science & Technology University, Bangladesh
B. Sc. in Electrical and Electronic Engineering
Laboratory & Thesis Experience
Laboratory & Thesis Experience
Lab Course: Micro- and Nanotechnology , University of Siegen, Germany
• Fabricated and characterised Graphene Field-Effect Transistors (GFETs) using lithography, lift-off, PVD, RIE, and graphene transfer techniques.
• Performed device measurements and data analysis in a cleanroom and dedicated measurement laboratory.
• Gained practical experience in nanofabrication workflows, teamwork, and adherence to cleanroom safety protocols.
Lab Course: Nanosynthesis, Nanosafety, and Nanoanalytics, University of Siegen, Germany
• Experimentally synthesised nanostructures and characterised them using advanced analytical techniques: X-ray analysis (XRD), dynamic light scattering (DLS), scanning electron microscopy (SEM)
• Strengthened analytical thinking, attention to detail, and safety-standard awareness in a laboratory environment.
Undergraduate Thesis, HSTU, Bangladesh
• Published IEEE Access paper on machine-learning-based electric-vehicle fault detection and clas- sification.
• Developed and evaluated ML models for real-time fault diagnosis and performance optimisation of EV systems.
Publications
Publications
Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, And Francesco Benedetto ”Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification," IEEE Access. DOI: 10.1109/ACCESS.2024.3400913
Shohanur Islam Sobu1, Md. Imran Hossen, Md. Foysal Mahmud and Mahbub Ul Islam Khan, ”Leveraging Pre-trained CNNs for Efficient FeatureExtraction in Rice Leaf Disease Clas-sification,” iCACCESS, IEEE. DOI: 10.1109/iCACCESS61735.2024.10499603
Work Experience
Work Experience
01/2016 -- 12/2022
STEM Project Coordinator
Bangladesh Open Source Network (BdOSN), Bangladesh
• Planned, coordinated, and executed day-to-day operations for STEM education programmes.
• Designed and delivered training curricula in Python programming and robotics for partner organisations.
• Developed technical documentation and educational materials, and maintained comprehensive project records and reports.
12/2020 –- 08/2023
Research Assistant
Department of Food Science and Nutrition, HSTU, Bangladesh
• Provided technical support for electrical troubleshooting and maintenance of laboratory equipment.
• Ensured reliable operation of measurement devices; supported experimental workflow and data
recording.
• Contributed to research efficiency through systematic equipment calibration and safety adherence.
Key Skills
Key Skills
Programming: Python (data analysis, scripting), MATLAB, LaTeX
Software & Tools: MS Office (Word, Excel, PowerPoint); familiar with and willing to further develop skills in Eagle and KiCad
Electrical Engineering: Circuit design fundamentals, oscilloscope operation, signal measurement and analysis, sensor integration, hardware–software interfacing
Laboratory & Characterisation: SPR, AFM, XRD, SEM, GFET characterisation, electronic device measurement, cleanroom techniques
Nanofabrication: Photolithography, RIE, lift-off processes, PVD, graphene transfer
Documentation: Technical reports, user manuals, and circuit diagrams (LaTeX); proficient in technical documentation in English
Languages:
English – B2
German – A1.2 (actively improving)
Bangla – Native
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