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Founder & Director
Founder & Director
Md. Ariful Islam is an Assistant Professor at the Department of Robotics and Mechatronics Engineering, University of Dhaka, with verified expertise in Machine Learning, Hybrid Electric Vehicles, Renewable Energy Technologies, and Bio-Robotics. His interdisciplinary research explores intelligent systems at the intersection of engineering, healthcare, energy, and environmental sustainability.
He completed his B.Sc and M.Sc in Electrical and Electronic Engineering from the same university. He has published extensively, contributing to fields such as Brain-Computer Interface, Robot-assisted Autism Training, Precision Healthcare, and Sustainable Energy.
Director
Director
Md. Ziaul Hasan Majumder is a dedicated Scientific Officer at the Bangladesh Atomic Energy Commission (BAEC), with verified expertise in Computer Vision, Computer-Aided Automation, Bioinformatics, and Instrumentation Development. His research focuses on leveraging artificial intelligence and machine learning for solving real-world biomedical and energy-related challenges.
Associate Director
Associate Director
Mosa. Tania Alim Shampa is a Lecturer at the Department of Oceanography, University of Dhaka. Her research focuses on Satellite Oceanography, Biological and Chemical Oceanography, Coastal Processes, and Climate Change Impacts on Marine Environments.
With a growing portfolio of interdisciplinary research, she has co-authored several impactful publications addressing issues related to coastal zone management, marine renewable energy, marine biodiversity monitoring using AI, and environmental pollution assessment in Bangladesh's coastal and estuarine systems.
Research Fellow
Research Fellow
Md. Sohel Miah is currently serving as an Instructor in the Department of Computer Science and Technology at Moulvibazar Polytechnic Institute. His primary interests lie in Machine Learning, Data Science, and Biomedical Engineering applications.
He has co-authored notable publications in peer-reviewed journals, contributing to impactful research on Parkinson’s disease detection using handwriting and voice datasets, as well as precision healthcare models for heart disease prediction using advanced machine learning algorithms and feature selection strategies.
Research Associate
Research Associate
Pankaj Chandra Kar is a Lecturer in the Department of Computer Science and Engineering at Stamford University Bangladesh. His research interests span antenna design, wave propagation, wireless power transfer, and energy harvesting from ambient electromagnetic (EM) waves.
He has co-authored several impactful research articles, including work on rectenna systems for mobile phone charging using ambient EM waves, solar panel performance analysis, and left-handed metamaterials in microstrip patch antenna design. His contributions explore innovative ways to optimize antenna performance, miniaturize designs, and enable sustainable energy solutions through smart engineering.
Research Assistant
Research Assistant
Shabab Murshed is currently pursuing his Master of Science in Computer Science and Engineering at the University of Dhaka. His research interests lie in wireless networks, energy-efficient communication, and multi-agent systems, with a particular focus on deep reinforcement learning (DRL) applications in UAV networks.
He is the co-author of the 2024 paper "Weighted fair energy transfer in a UAV network: A multi-agent deep reinforcement learning approach", published in Energy (Elsevier), which has garnered notable citations within its first year of publication.
Research Assistant
Md. Safin Ahmed is currently pursuing his MSc thesis in the Department of Robotics and Mechatronics Engineering, University of Dhaka. His research focuses on the "Design and Development of an Intelligent MPPT-Based Solar Tracking and Power Management System for Solar-Electric Vehicles with IoT Control." He completed his BSc in Robotics and Mechatronics Engineering from the University of Dhaka, where he developed a project titled "Detecting Pneumonia using PDMS-Graphene Compound Tensile Respiratory Sensors and Comparing its Performance with a Deep Learning Model."
Alongside his thesis work, he has been actively exploring software engineering and competitive programming. He has gained proficiency in programming languages such as C, C++, and Python and has participated in several contests on Codeforces, achieving an 800+ rating. His technical skills also extend to data structures and algorithms, and he has hands-on experience in full-stack web development using the MERN stack.
Research Assistant
Shehrina Tabassum Supti is presently enrolled at the University of Dhaka to pursue her M.Sc. in Robotics and Mechatronics Engineering. She is now studying reinforcement learning methods for yaw control optimization in multi-turbine wind farms.
During her undergraduate studies, she co-authored a research paper titled "Design of Portable A-frame for Oceanographic Data Collection" that was published in the Journal of Maritime Research and performed a vibration analysis on marine propeller blades. Additionally, at MARTEC 2022, she displayed a poster titled "Construction of Quick Relief Rescue Vessels and Rehabilitation Centers for Extreme Flood Victims."
Shehrina has practical knowledge in MATLAB/Simulink, AutoCAD, and Python. Sustainable development, renewable energy, marine technology, and reinforcement learning are some of her areas of interest.
Research Assistant
MD Mehrab Hasan Hemal is currently pursuing his MSc thesis in the Department of Robotics and Mechatronics Engineering from the University of Dhaka. His research focuses on the "Development and Improvement on a Corrosion Prediction Model based on Machine Learning in the Offshore Environment." He completed his BSc in Naval Architecture and Offshore Engineering from the Bangladesh Maritime University, where worked on an inland water vessel project of a 2400 Deadweight Cargo Carrier for the Dhaka to Chattogram river channel. His under-graduate thesis focuses on The Mass Balancing of Internal Combustion Engines for a Small Boat.
Alongside these, he had also actively participated in the International MARTEC conference 2022, held in Bangladesh, and succeeded in presenting a poster paper based on introducing a fast response boat and shelter system for sudden water surges or floods in the country. He has also been focusing on software related skills which includes designing and stability calculation software namely, AutoCAD, Maxsurf, Rhino 3D, Qblade; along with programming software such as C, C++, and Python
Research Assistant
Mirza Afnan Islam is an undergraduate student of Robotics and Mechatronics Engineering at the University of Dhaka, with a strong passion for interdisciplinary research in AI, embedded systems, and sustainable robotics. He currently serves as a research assistant at the Sustainable Intelligent Systems (SIS) Lab and the Bangladesh Council of Scientific and Industrial Research (BCSIR), where he has contributed to marine robotics and intelligent surveillance systems.
His project experience spans marine exploration, smart water systems, and AI-based agricultural drones. He is an active member of IEEE RAS DU and the Dhaka University Research Society, and mentors aspiring engineers through outreach and national robotics events.
Research Assistant
Tanvir Ahmed is an undergraduate student of Robotics and Mechatronics Engineering at the University of Dhaka, dedicated to solving real-world engineering problems through innovative and practical solutions. With a strong foundation in programming, embedded systems, and robotics, he has hands-on experience working with platforms such as Raspberry Pi, Arduino, ESP modules, Jetson, and Nao robots.
Tanvir thrives in collaborative environments and consistently contributes to team-based projects, transforming ideas into functional prototypes and real-life applications. His academic journey is enriched by multiple certifications from Google and Harvard’s CS50 AI course, alongside a growing interest in quantum computing.
Research Assistant
Md. Mehidi Hasan Rakib is an undergraduate student of Robotics and Mechatronics Engineering at the University of Dhaka, with a keen interest in AI, embedded systems, and smart technologies. He currently serves as a research assistant at the Sustainable Intelligent Systems (SIS) Lab, contributing as the second author to a review on robotic solutions for marine and coastal surface cleaning. Mehidi has hands-on experience with platforms such as Arduino, Raspberry Pi, and ESP32, and has led projects including fire-fighting robots and IoT-based weather monitoring systems. He actively mentors young robotics enthusiasts through national competitions and outreach programs and serves as an executive member of the IEEE Robotics and Automation Society DU.
Research Assistant
Marufa Akter is an undergraduate student in the Department of Robotics and Mechatronics Engineering, driven by a passion for innovation, intelligent systems, and human-centered design. Her growing interest in biomedical technology has led her to focus on biosensing technologies, biomedical signal processing, wearable health devices, assistive prosthetics, particularly in the context of human–machine interfacing and physiological monitoring. With a research-driven approach and a commitment to advancing healthcare technology, Marufa aims to develop intelligent systems that enhance quality of life and push the boundaries of biomedical engineering.
Research Assistant
Nowreen Jahan is an undergraduate student at the University of Dhaka, pursuing a Bachelor of Science in Robotics and Mechatronics Engineering. Her academic interests span intelligent systems, human–machine interaction, and biomedical robotics. She is particularly passionate about the application of robotics in assistive technologies. Her work focuses on advancing affordable and responsive prosthetic solutions through sensor-based control systems.
Research Assistant
Aresha Basir Spriha is currently pursuing the B.Sc. degree in Robotics & Mechatronics Engineering with the University of Dhaka. As a student of with the University of Dhaka, she is dedicated to learning and exploring new technologies and techniques in the field of robotics and mechatronics engineering. Her research interests include using machine learning, deep learning, natural language processing, human robot interaction, computer vision, reinforcement learning and intelligent systems & environment.
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