Lab
Centre for UntieAI Artificial Intelligence Research Lab (UAIRL) , Canada
Institution: University of Colorado Boulder
Department: Department of Engineering Management
About the lab
“Through great international collaboration among scientists, the company had already published noteworthy research papers in high-profile journals before its first anniversary” -
as quoted by Maher Ali Rusho, Head Of AI Research Lab.
It was started as a Canadian research-based AI and software company called UntieAI with the goal of making progress in the areas of technology and artificial intelligence
Under the leadership and worldwide representation of Maher Ali Rusho & Co-head of the lab Mehadi Hasan Bijoy, the company's AI Research Lab has published more than 15 articles in international journals to date; the majority of them are included in Scopus Q1/Q2. Notable publishers include IEEE, Springer, MDPI, and Elsevier additionally possess a combination of 7 Indian and UK patents.
as quoted by Maher Ali Rusho, Head Of AI Research Lab.
It was started as a Canadian research-based AI and software company called UntieAI with the goal of making progress in the areas of technology and artificial intelligence
Under the leadership and worldwide representation of Maher Ali Rusho & Co-head of the lab Mehadi Hasan Bijoy, the company's AI Research Lab has published more than 15 articles in international journals to date; the majority of them are included in Scopus Q1/Q2. Notable publishers include IEEE, Springer, MDPI, and Elsevier additionally possess a combination of 7 Indian and UK patents.
Featured research (68)
The transformation of normal breast cells into cancerous cells is a complex process influenced by both genetic and microenvironmental factors. Recent studies highlight the significant role of membrane potential (Vm) alterations in this transformation. Cancer cells typically exhibit a depolarized resting membrane potential (RMP) compared to normal cells, which correlates with increased cellular activity and more aggressive cancer behavior. These RMP and Vm changes are associated with altered ion channel activity, altered calcium dynamics, mitochondrial dysfunction, modified gap junction communication, and disrupted signaling pathways. Such fluctuations in RMP and Vm influence key processes in cancer progression, including cell proliferation, migration, and invasion. Notably, more aggressive subtypes of breast cancer cells display more frequent and pronounced Vm fluctuations. Understanding the electrical properties of cancer cells provides new insights into their behavior and offers potential therapeutic targets, such as ion channels and Vm regulation. This review synthesizes current research on how various factors modulate membrane potential and proposes an electrophysiological model of breast cancer cells based on experimental and clinical data from the literature. These findings may pave the way for novel pharmacological targets for clinicians, researchers, and pharmacologists in treating breast cancer.
Identifying materials that have naturally selectivity for specific gas molecules can greatly simplify designing of selective and sensitive gas sensors. Recently, researchers have recognized monolayers composed of group III–IV elements as a highly promising category of materials for gas sensing applications. This article focuses on the examination of gas adsorption characteristics of a monolayer of silicon carbide (SiC) using DFT-based first-principles computations. To assess the strength and nature of adsorption, we analyze charge transfer (CT), adsorption energy (Eads), and adsorption distance. We assess potential of material for work function and electronic-based gas sensor applications by computing variations in its work function and conductivity. In present research, we focused on adsorption of decomposed gases from SF6. Specifically, we examined the chemisorption of SOF2 and SO2F2 on the SiC monolayer, which resulted in a notable alteration of the work function by over 20%. Furthermore, these gases exhibited a substantial impact on SiC monolayer conductivity. Furthermore, we observed that recovery time for SOF2 and SO2F2 at room temperature is within the millisecond range, particularly at 600 K. This indicates a highly selective and sensitive response of the SiC monolayer to SOF2 and SO2F2.
Lab head

Department
- Department of Engineering Management
About Maher Ali Rusho
- Maher Ali Rusho is currently employed as a Research Associate in Human-Computer Interaction (HCI) at Brain-Station 23 PLC . Beyond that, he also founded his own software company, UntieAI, in Canada. He has an impressive research background, which includes 11 design patents and numerous scholarly articles in high-impact journals (SCI index, Q1/Q2). Recently , Rusho is also featured in Forbes Magazine
Members (7)
Amrito Mohonto Pial

Md Abuzar Gifari Imtiaz

Naimul Haque

Md Shokor A Rahaman

PRASHANT HANAGANDI