Email: imtiaz@du.ac.bd

Phone: +8801712782833

Imran Hossain Sabuj holds both B.Sc. and M.Sc. degrees in Electrical and Electronic Engineering from the University of Dhaka, where he achieved outstanding academic results. He has joined the Department of Electrical and Electronic Engineering as a lecturer. Previously, he served as an Adjunct Lecturer in the EEE Department at Southeast University, the Department of Textile Machinery Design and Maintenance at Bangladesh University of Textiles (BUTEX), and the Department of Computer Science and Engineering at International Standard University. He also worked as a Research Assistant at Materual Science Research Laboratory (MSRL) and Semiconductior Technology Research Centre (STRC). His academic journey began at Vivekananda High School in Tangail, followed by Notre Dame College.

Research Interest: Nanomaterial Synthesis and Characterization, Double Perovskites for optoelectronic applications, Photocatalytic Materials for environmental treatment, and DFT based materials properties simulation.

Email: sabuj@du.ac.bd

Quazi Shafayat Hossain is a key researcher and pioneering contributor at MSRL. As the Lead Research Mentor, he provides expert guidance in analysis and advanced DFT simulations. He is currently a Lecturer in the CSE Department at BRAC University and holds a B.Sc. in Electrical and Electronic Engineering (formerly Applied Physics) from the University of Dhaka. He previously studied at Notre Dame College and St. Joseph High School. His expertise includes computational materials science and electronic structure analysis.

Research Interest:  Material Science, Density functional theory, and Biosensors.

Email: quazishafayat-2017414830@eee.du.ac.bd  

Md. Rafatul Haq is one of the longest-serving members of MSRL, beginning from his B.Sc project and now pursuing his M.Sc thesis. As an expert in all 4 research segments, he also mentors undergraduate RAs, guiding them from the beginning of their journey. Rafatul is a part-time lecturer in the CSE Department at BRAC University. With a background in Electrical and Electronic Engineering from the University of Dhaka, he is pursuing his M.Sc. in the same field. He received his earlier education from the Ideal School and Notre Dame College. 

Research Interest: Material Synthesis and Characterization, DFT Calculations, Nanomaterials, Biosensors, Device Fabrication, Plasmonic and Neural Networks.

Email: mdrafatul-2018526150@eee.du.ac.bd

Since joining MSRL in 2023, Nusaibah Ehsan has excelled in both complex experimental work and first-principles calculations. She also mentors undergraduate research assistants, helping strengthen the lab’s research pipeline. Nusaibah graduated with outstanding results in Electrical and Electronic Engineering from the University of Dhaka and is now pursuing an M.Sc. in the same department, specializing in Electronics and Material Science. She previously completed her Secondary and Higher Secondary education at Udayan Higher Secondary School.

Research Interest: Material Synthesis & Characterization, DFT-Based Calculations, Semiconductor Fabrication, Nanomaterials & Nanoengineering, and Biomedical Engineering.

Email: nusaibah-2018726202@eee.du.ac.bd

Asma Yesmin Khan Rimu combines her MSc studies in Electrical and Electronic Engineering at the University of Dhaka with a profound research role at MSRL, where she has been working since 2024. Her academic interests lie at the intersection of materials science, nanoscale engineering, and computational research. She is particularly engaged in material synthesis and characterization, alongside Density Functional Theory (DFT)-based modeling to examine structural, electronic, and functional properties. Asma’s outstanding academic performance is matched by her commitment to collaborative learning. She regularly trains junior students and helps them develop confidence in laboratory procedures and computational research techniques.

Before joining the University of Dhaka, she studied at Kumudini Government College and Bindubasini Government Girls’ High School. Her long-term goal is to establish herself in materials research and contribute to the development of advanced materials with meaningful technological and practical applications.

Research Interest: Material Synthesis, Characterization, and Computational Modeling of Advanced Materials using DFT.

Email: asmayesminkhan-2019418410@eee.du.ac.bd

An emerging researcher with a strong academic foundation and growing expertise in advanced materials, Mehrin Fattaha has been an integral member of MSRL since 2024. She completed her undergraduate degree in Electrical and Electronic Engineering (EEE) at the University of Dhaka with excellent academic results and is currently pursuing her MSc in the same discipline.

Her research focuses on the synthesis and characterization of advanced materials, complemented by Density Functional Theory (DFT) simulations to investigate their structural, electronic, and functional properties. Beyond her own research, Mehrin contributes meaningfully to the laboratory’s academic environment by training and mentoring junior students in research methods and related activities.

Mehrin previously did her schooling at Savar Cantonment Public School and College and Rajuk Uttara Model College, and she aspires to contribute to the development of advanced materials for practical applications. 

Research Interest: Materials Synthesis, Characterization of Advanced Materials, Computational Modeling of Advanced Materials using DFT.

Email: mehrin-2019318439@eee.du.ac.bd

Usama Bin Sehab is an undergraduate research assistant at MSRL, Department of Electrical and Electronic Engineering, University of Dhaka. His research combines computational and experimental approaches to accelerate the development of advanced functional materials for clean energy applications. His work integrates machine learning, Density Functional Theory (DFT), nanomaterials synthesis, and advanced characterization to design and investigate Double Perovskite Oxides for solar-driven water splitting and environmental remediation.

Research Topic:  Solar Energy Materials, Photovoltaics, Machine Learning-Assisted Materials Discovery, Density Functional Theory (DFT), Double Perovskite Materials, and Computational Materials Science.

Email: usama-2020115856@eee.du.ac.bd

Durjoy Halder is an undergraduate research assistant at the Materials Science Research Laboratory (MSRL), Department of Electrical and Electronic Engineering, University of Dhaka. His research focuses on machine learning-driven materials discovery, computational materials science, and nanotechnology for sustainable energy and environmental applications. He is currently working on Double Perovskite Oxides (A₂BB'O₆) for photocatalytic water splitting, wastewater remediation, and green hydrogen production by integrating machine learning, Density Functional Theory (DFT), materials synthesis, and advanced characterization techniques

Research Topic:  Machine Learning for Materials Discovery, Density Functional Theory (DFT), Double Perovskite Oxides, Photocatalysis, Photoelectrochemical Water Splitting, Renewable Energy Materials, Nanomaterial Synthesis, and Materials Characterization.

Email: durjoy-2020815868@eee.du.ac.bd

Tahsin Touheed Ivan is a final-year undergraduate at the Dept. of Electrical and Electronic Engineering, University of Dhaka. His current work at MSRL focuses on machine-learning-guided electrode design for supercapacitors, building structured literature datasets on oxide-based electrode materials and training predictive models (Random Forest, XGBoost, ANN) with SHAP-based analysis to identify key material and process descriptors, eventually validating the findings experimentally through synthesis and electrochemical characterization. His broader interests sit at the intersection of AI and materials discovery, particularly for energy storage and micro/nano engineered devices.

Research Topic:  ML-guided electrode design and materials discovery for energy storage, with broader curiosity in nanomaterials characterization and micro/nano-engineered devices. 

Email: ivan19tauhid@gmail.com

Ashin Roy is a final-year undergraduate student in the Department of Electrical and Electronic Engineering at the University of Dhaka. His current research focuses on machine learning-guided discovery of chalcogenide single perovskite photocatalysts, combining data-driven modeling with first-principles (DFT) calculations to accelerate the identification of stable,non-toxic,visible-light-active materials for photocatalytic and photovoltaic applications. Alongside his computational materials research, he is interested in the broader application of artificial intelligence to materials discovery and renewable energy technologies. His research interests lie at the intersection of materials science, machine learning, and electrical engineering, with the goal of developing intelligent, data-driven approaches to discovering next-generation energy materials.

Research Topic:  AI-Driven Materials Discovery, Machine Learning in Materials Science, Chalcogenide Perovskites, First-Principles (DFT) Calculations, Photovoltaic Materials, and Renewable Energy Technologies. 

Email: ashinroy4@gmail.com

Aquib Ahmed Prottoy is a final-year undergraduate student in the Department of Electrical and Electronic Engineering at the University of Dhaka. His current research focuses on applying machine learning to materials science for energy storage, particularly the development of predictive models for supercapacitor electrode materials using data-driven approaches and explainable AI techniques. Alongside computational materials research, he is interested in semiconductor systems, digital hardware design, and embedded intelligence, with experience in designing hardware architectures such as the PipeCore16 16-bit pipelined RISC processor. His broader research interests lie at the intersection of artificial intelligence, materials discovery, VLSI, and energy-efficient computing, with the goal of developing intelligent technologies that advance next-generation electronic and energy storage systems.

Research Topic:  Artificial Intelligence, Machine Learning for Materials Discovery, Energy Storage Materials (Supercapacitors), Explainable AI, VLSI Design, Digital Hardware Systems, Embedded Systems, and Semiconductor Technologies.

Email: aquibprottoy@gmail.com

His research focuses on material synthesis and characterization for environmental remediation, emphasizing the development of innovative solutions for wastewater treatment. Passionate about bridging scientific research with real-world applications, he strives to contribute to advancing eco-friendly materials and environmental sustainability.

Research Interest: Material Science, Material Synthesis, Characterization Techniques, Environmental Science, Renewable Energy, Machine Learning, Device Fabrication.

Email: resalatzakir-2019418401@eee.du.ac.bd

Md Redwanul Hassan holds a BSc and MSc degree from department of EEE, University of Dhaka.  He previously studied at Syed Hatem Ali College and Barisal Zilla School.

Research Interest: Material Science, Material Synthesis, Characterization Techniques

Email: mdredwanul-2018926147@eee.du.ac.bd

Shadmin Sultana is an aspiring researcher with a keen interest in material science, particularly plasmonics. As a part of MSRL, she is skilled at complex lab work and has contributed to the analysis of important projects. She obtained her Electrical and Electronic Engineering undergraduate degree from the University of Dhaka in 2024 and is currently an adjunct lecturer in the Department of Computer Science and Engineering at BRAC University.

Research Interest: Plasmonics, Photonic Crystal Applications, Nanomaterial Engineering, Solar PV.

Email: shadmin-2018426133@eee.du.ac.bd

Shahad Saroar is an affiliated researcher with MSRL. His expertise lies in both synthesis and analysis of nanomaterial properties. Under the supervision of the lead mentor, part of Shahad's work lies in computational DFT. Shahad graduated from the University of Dhaka, obtaining a B.Sc. degree in EEE. He is currently pursuing his M.Sc. degree from the same institution. He also serves as an adjunct lecturer to the Department of CSE at Southeast University.

Research Interest: Nanotechnology, DFT, Sensors, Nanophotonics, and Machine learning.

Email: nusaibah-2018726202@eee.du.ac.bd