In December 2014, department of Computer Science and Engineering of United International University started a research laboratory named Advanced Intelligent Multidisciplinary Systems Lab (AIMS Lab) to foster computer science research and development in Bangladesh as well as to utilize the benefits of information technology for the society. The research lab focuses on theoretical aspects and applications of the areas of machine learning and data mining, natural language processing, intelligent systems, computational intelligence, biomedical engineering, bioinformatics and embedded systems. This lab is driven by a multidisciplinary team of highly qualified researchers in their respective fields and aiming to maximizing possibilities for computer science research in Bangladesh. One of the objectives of this lab is to train the graduate and undergraduate students and young faculty members to develop their capacity to become a future researcher. In addition, it is also working to establish collaborations between academia and industry as well as to do collaborative research with foreign renowned research centers. The vision of its research is to investigate problems and develop innovative technological solutions that could potentially make an impact in the society, improve quality of life, and more importantly make a significant contribution in the scientific arena. Members of AIMS Lab are expecting that the research outcome of AIMS lab will significantly create our research strength in home and abroad.

IRIIC leverages Fourth Industrial Revolution (4IR) technologies through its research initiatives at the Advanced Intelligent Multidisciplinary Systems Lab (AIMS Lab) at United International University. The lab focuses on cutting-edge research and development in several modern computing fields, including:

1. Artificial Intelligence and Machine Learning: Developing intelligent systems and machine learning algorithms to solve complex problems and innovate new solutions.
2. Data Mining and Big Data: Analyzing large datasets to uncover patterns, insights, and trends that can drive decision-making and innovation.
3. Biomedical Engineering and Bioinformatics: Creating technologies and systems to improve healthcare outcomes, such as biomedical signal and image processing, and developing computational methods for biological data analysis.
4. Human-Computer Interaction (HCI) and Brain-Machine Interfaces (BMI): Enhancing interaction between humans and computers, and developing interfaces that allow for direct communication between the brain and external devices.
5. Computational Neuroscience: Investigating the brain's computational processes to understand neural functions and develop neurocomputing technologies.
6. Assistive Technologies and Rehabilitation Engineering: Designing technologies to aid individuals with disabilities and improve rehabilitation processes.
7. Health Informatics and Mobile Health Technologies: Developing mobile applications and informatics systems to enhance healthcare delivery and patient outcomes.
8. Education and Learning Technologies: Improving education quality and access through distance learning, technology-enhanced learning, and knowledge transfer initiatives.

The AIMS Lab aims to maximize the potential of these 4IR technologies by training students and faculty, fostering academia-industry collaborations, and conducting joint research with international research centers. These efforts are geared towards solving societal problems, enhancing the quality of life, and contributing significantly to the scientific community.

Functionally AIMS Lab conducts research and development in the area of modern computing technologies such as Artificial Intelligence, Bioinformatics, Data Mining, Biomedical Engineering, Neural Network etc. Major research areas of AIMS Lab are: Intelligent Systems, Brain Machine Interface (BMI), Human Computer Interaction (HCI), Computational Neuroscience, Computational Neuroscience, Biomedical Signal & Image Processing, Pattern Recognition & Machine Learning, Neurocomputing, Rehabilitation Engineering, Access communication & Assistive Technologies, Feature Extraction & Classification of Bio-signals, Biomedical Engineering and Applications, Health Informatics & Mobile Technology for Health Care Applications, Education Quality Management, Distance Learning and Technology Enhanced Leaning, Knowledge Transfer and Entrepreneurship, Society, Environment, Engineering Ethics, Rehabilitation Engineering, Systems Neuroscience, Disabilities and Inclusion.