Research Areas
The Department of Electrical and Electronic Engineering (EEE) is home to several dynamic research areas, each dedicated to pushing the boundaries of knowledge across various subfields of electrical and electronic engineering. With a commitment to innovation and societal impact, the department aims to drive technological advancement and contribute to a smarter, more connected future.
Our laboratories are equipped with state-of-the-art tools and are continuously evolving to keep pace with emerging trends in science and technology. Faculty members of the department are seasoned researchers who actively mentor and inspire students to pursue research and innovation, fostering a vibrant culture of discovery and excellence. Primary research areas of the EEE Department include Electromagnetics and Photonics, Power and Energy Systems, Communication and Networking, VLSI and Circuit Design, Control Systems and Robotics, Biomedical Engineering, Signal and Image Processing, Artificial Intelligence and Machine Learning.
Our laboratories are equipped with state-of-the-art tools and are continuously evolving to keep pace with emerging trends in science and technology. Faculty members of the department are seasoned researchers who actively mentor and inspire students to pursue research and innovation, fostering a vibrant culture of discovery and excellence. Primary research areas of the EEE Department include Electromagnetics and Photonics, Power and Energy Systems, Communication and Networking, VLSI and Circuit Design, Control Systems and Robotics, Biomedical Engineering, Signal and Image Processing, Artificial Intelligence and Machine Learning.
Power and Energy Systems
The Power and Energy research domain focuses on building reliable, efficient, and sustainable energy systems that can meet the evolving demands of modern society. This broad area encompasses generation, transmission, distribution, and utilization of electrical energy, with a growing emphasis on renewable integration and smart-grid technologies. Research spans stability and control of large-scale power networks, optimization of distributed and hybrid renewable energy systems, and intelligent management of microgrids and demand-side resources. Advanced computational and control approaches—including optimization algorithms, data-driven modeling, and intelligent decision support—are explored to enhance system adaptability, flexibility, and resilience. The overarching vision is to enable a clean, secure, and digitally empowered energy future through innovation in control, computation, and sustainable engineering.
Faculty members doing research in this area:
The Power and Energy research domain focuses on building reliable, efficient, and sustainable energy systems that can meet the evolving demands of modern society. This broad area encompasses generation, transmission, distribution, and utilization of electrical energy, with a growing emphasis on renewable integration and smart-grid technologies. Research spans stability and control of large-scale power networks, optimization of distributed and hybrid renewable energy systems, and intelligent management of microgrids and demand-side resources. Advanced computational and control approaches—including optimization algorithms, data-driven modeling, and intelligent decision support—are explored to enhance system adaptability, flexibility, and resilience. The overarching vision is to enable a clean, secure, and digitally empowered energy future through innovation in control, computation, and sustainable engineering.
Faculty members doing research in this area:
Mr. Muhammad (SMHSA, MIEB), Assistant Professor | |
Mr. Quazi Nafees-Ul-Islam, Assistant Professor | |
Mr. Hasan Jamil Apon, Lecturer | |
Mr. Salman Hossain, Junior Lecturer |
Electromagnetics and Photonics
Research in this area focuses on the study and application of electromagnetic wave phenomena across microwave, terahertz, and optical regimes. The work spans optical devices and detectors, nanophotonics, and the exploration of alternative materials to enhance light–matter interaction and energy confinement. Faculty in this field also investigate computational electromagnetics for accurate modeling and simulation of complex structures, supporting advancements in antenna design, plasmonic biosensing, and integrated photonic systems. The overarching goal is to develop innovative solutions that drive next-generation communication, sensing, and biomedical technologies through a deep understanding of electromagnetic theory and photonic engineering.
Faculty members doing research in this area:
Research in this area focuses on the study and application of electromagnetic wave phenomena across microwave, terahertz, and optical regimes. The work spans optical devices and detectors, nanophotonics, and the exploration of alternative materials to enhance light–matter interaction and energy confinement. Faculty in this field also investigate computational electromagnetics for accurate modeling and simulation of complex structures, supporting advancements in antenna design, plasmonic biosensing, and integrated photonic systems. The overarching goal is to develop innovative solutions that drive next-generation communication, sensing, and biomedical technologies through a deep understanding of electromagnetic theory and photonic engineering.
Faculty members doing research in this area:
Dr. Mohammad Rakibul Islam, Professor | |
Dr. Rakibul Hasan Sagor, Professor (IUT Photonics Research Group - IUTPRG) | |
Mr. Sheikh Montasir Mahbub, Lecturer | |
Mr. Sheikh Munim Hussain, Lecturer | |
Ms. Wasifa Rahman Rashmi, Lecturer | |
Mr. Abdullah Taharat, Junior Lecturer | |
Ms. Anika Rahman Habiba, Junior Lecturer | |
Mr. Mohammad Abrar Kabir, Junior Lecturer | |
Mr. Aseer Imad Keats, Junior Lecturer |
Communication and Networking
This research area investigates the design and optimization of communication systems and networks that enable seamless information exchange. Faculty work on wireless communication, optical fiber networks, Internet of Things (IoT), and next-generation mobile technologies such as 5G and 6G. The research also extends to network security, signal coding, and communication protocols, aiming to enhance data throughput, reliability, and energy efficiency in emerging connected environments.
Faculty members doing research in this area:
This research area investigates the design and optimization of communication systems and networks that enable seamless information exchange. Faculty work on wireless communication, optical fiber networks, Internet of Things (IoT), and next-generation mobile technologies such as 5G and 6G. The research also extends to network security, signal coding, and communication protocols, aiming to enhance data throughput, reliability, and energy efficiency in emerging connected environments.
Faculty members doing research in this area:
Dr. Mohammad Rakibul Islam, Professor | |
Dr. Khondokar Habibul Kabir, Professor | |
Dr. Mohammad Tawhid Kawser, Professor | |
Dr. Nafiz Imtiaz Bin Hamid, Professor | |
Mr. Md. Samiur Rahman, Lecturer | |
Ms. Sumaiya Bashar, Junior Lecturer | |
Mr. Ahmed Jawad Rashid, Junior Lecturer |
VLSI and Circuit Design
The VLSI and Circuit Design field focuses on the conception and implementation of integrated circuits and electronic systems. Research spans analog and digital circuit design, system-on-chip (SoC) architectures, and low-power hardware design for embedded and high-performance computing applications. Faculty in this area emphasize bridging device-level design principles with modern fabrication techniques to produce efficient, scalable, and application-specific solutions.
Faculty members doing research in this area:
The VLSI and Circuit Design field focuses on the conception and implementation of integrated circuits and electronic systems. Research spans analog and digital circuit design, system-on-chip (SoC) architectures, and low-power hardware design for embedded and high-performance computing applications. Faculty in this area emphasize bridging device-level design principles with modern fabrication techniques to produce efficient, scalable, and application-specific solutions.
Faculty members doing research in this area:
Dr. Syed Iftekhar Ali, Professor and Head of the Department | |
Dr. Mohammad Masum Billah, Assistant Professor | |
Mr. Fardeen Hasib Mozumder, Assistant Professor | |
Mr. Liman Shams, Junior Lecturer | |
Mr. Md. Farhad Hassan, Assistant Professor (On-Leave) | |
Mr. Hayder Jahan Parash, Assistant Professor (On-Leave) |
Control Systems and Robotics
Control Systems and Robotics research deals with the analysis, design, and implementation of intelligent and adaptive systems. The area encompasses modern control theory, system identification, robotics, automation, and cyber-physical systems. Faculty develop algorithms for motion planning, feedback control, and autonomous operation, contributing to applications in industrial automation, medical robotics, and intelligent transportation systems.
Faculty members doing research in this area:
Control Systems and Robotics research deals with the analysis, design, and implementation of intelligent and adaptive systems. The area encompasses modern control theory, system identification, robotics, automation, and cyber-physical systems. Faculty develop algorithms for motion planning, feedback control, and autonomous operation, contributing to applications in industrial automation, medical robotics, and intelligent transportation systems.
Faculty members doing research in this area:
Dr. Golam Sarowar, Professor | |
Mr. Nadim Ahmed, Assistant Professor | |
Mr. Md. Thesun Al-Amin, Assistant Professor (On-Leave) | |
Mr. Safayat Bin Hakim, Assistant Professor (On-Leave) |
Biomedical Engineering
Biomedical Engineering integrates engineering innovation with life sciences to develop technologies that advance healthcare. Research includes biomedical instrumentation, medical imaging, biosignal processing, and assistive device design. The focus is on creating accessible, data-driven solutions for diagnosis, monitoring, and rehabilitation, addressing healthcare challenges particularly in resource-limited environments. Faculty in this field collaborate across disciplines to translate technology into clinical impact.
Faculty members doing research in this area:
Biomedical Engineering integrates engineering innovation with life sciences to develop technologies that advance healthcare. Research includes biomedical instrumentation, medical imaging, biosignal processing, and assistive device design. The focus is on creating accessible, data-driven solutions for diagnosis, monitoring, and rehabilitation, addressing healthcare challenges particularly in resource-limited environments. Faculty in this field collaborate across disciplines to translate technology into clinical impact.
Faculty members doing research in this area:
Asif Newaz, Lecturer | |
Mr. Sabiq Muhtadi, Lecturer (On-Leave) | |
Mr. Ahmad Shafiullah, Lecturer (On-Leave) |
Artificial Intelligence and Machine Learning
Research in this area centers on developing algorithms that enable systems to learn, reason, and adapt from data. Core areas include deep learning, computer vision, natural language processing, and trustworthy AI. Faculty work on data-efficient and interpretable learning models for applications in healthcare, energy, and autonomous systems. The emphasis is on bridging theoretical rigor with real-world deployment to ensure fairness, transparency, and robustness in intelligent decision-making.
Faculty members doing research in this area:
Research in this area centers on developing algorithms that enable systems to learn, reason, and adapt from data. Core areas include deep learning, computer vision, natural language processing, and trustworthy AI. Faculty work on data-efficient and interpretable learning models for applications in healthcare, energy, and autonomous systems. The emphasis is on bridging theoretical rigor with real-world deployment to ensure fairness, transparency, and robustness in intelligent decision-making.
Faculty members doing research in this area:
Mr. Fardeen Hasib Mozumder, Assistant Professor | |
Mr. Nadim Ahmed, Assistant Professor | |
Asif Newaz, Lecturer | |
Md. Arefin Rabbi Emon, Lecturer | |
Mr. Ashraful Islam Mridha, Lecturer | |
Mr. Mohammad Aman Ullah, Junior Lecturer | |
Mr. Salman Hossain, Junior Lecturer |
Signal and Image Processing
Signal and Image Processing research deals with analyzing, transforming, and interpreting signals and visual data to extract meaningful information. The work encompasses biomedical signal analysis, digital filtering, pattern recognition, and computer vision. Faculty in this area develop algorithms for image restoration, classification, and feature extraction, with applications in healthcare diagnostics, remote sensing, and automation. Emphasis is placed on data-driven and learning-based techniques for robust and efficient information processing.
Faculty members doing research in this area:
Signal and Image Processing research deals with analyzing, transforming, and interpreting signals and visual data to extract meaningful information. The work encompasses biomedical signal analysis, digital filtering, pattern recognition, and computer vision. Faculty in this area develop algorithms for image restoration, classification, and feature extraction, with applications in healthcare diagnostics, remote sensing, and automation. Emphasis is placed on data-driven and learning-based techniques for robust and efficient information processing.
Faculty members doing research in this area:
Mr. Nadim Ahmed, Assistant Professor | |
Asif Newaz, Lecturer |