The proposed research project focuses on studying the urban heat island effect, which is a phenomenon where urban areas experience higher temperatures in urban areas than their surroundings. This effect can impact public health, energy usage, and urban planning. The research will use advanced analysis techniques to understand how different factors like building characteristics and […]

This project plans to unravel the relation between habitat characteristics and social dynamics that influence sexual segregation in Rocky Mountain bighorn sheep (Ovis canadensis). We will evaluate environmental and behavioural factors to better understand habitat preferences and social interactions that drive observed seasonal social and habitat segregation in bighorn sheep. The results of this study […]

This research project will systematically evaluate data-driven mode decomposition techniques (POD, Spectral POD (SPOD), finite impulse response SPOD (FIR-SPOD) and a machine-learning (ML) based nonlinear method) for separating and reattaching flows using existing experimental and numerical databases of a laminar boundary layer approaching an FFS. There will provide three significant results: (1) critical insight as […]

This project is dedicated to enhancing the safety and reliability of cardiovascular disease diagnosis through the innovative integration of Artificial Intelligence (AI) with 4D Flow MRI technology. By applying advanced machine learning algorithms, we aim to improve the precision and dependability of 4D Flow MRI analyses, ensuring more accurate assessments of complex heart blood flow […]

The project “Unveiling the Structure of Science: An Information-Theoretic Approach to Co-citation Analysis” aims to advance our understanding of the interconnected landscape of scientific research by applying principles of information theory to co-citation networks. By identifying significant intellectual linkages across disciplines, countries, and institutions, this research seeks to illuminate the underlying patterns and dynamics that […]

The upcoming research internship will explore how a specific class of ligands incorporating cyclopentadienyl and carbene moieties can stabilize less common, low oxidation states of certain heavier elements like germanium, tin, antimony, and bismuth. This computational study aims to understand the unique bonding and reactivity patterns of these compounds. By simulating these reactions computationally, the […]

Representation and accountability are essential for the proper functioning of democracy. Through a close examination of Brazil since the 1990’s, this project investigates the conditions that make a country move toward stronger representation and accountability. Like many Latin American countries, Brazil was neither an institutionalized nor a representative democracy in the 1990s. Although the president […]

Our research expands the paradigm of 1:1 AR collaboration systems to multi-party AR collaboration systems, enabling more flexible control over the positioning of the RU. We investigate multi-party conversations involving two or more participants and one VH replacing the RU. Specifically, we vary the distance between the two LUs and the VH to examine RU’s […]

This project is developing an innovative tool that accelerates the design process of lab-on-a-chip devices, which are crucial for the analysis of tiny liquid samples to detect the presence of pathogens or chemical substances, a process known as biosensing. The tool employs a sophisticated algorithm that leverages data from previous designs to optimize and suggest […]

Our research project aims to explore two interconnected objectives: understanding the impact of dominance in the collaboration between virtual assistants and human operators, and examining how an individual’s level of dominance affects their perception of a virtual assistant’s dominance during initial interactions. To achieve these goals, we will conduct a user study where participants, interacting […]

Mokapp is a revolutionary tool designed to streamline human movement analysis for healthcare providers. Our specialized motion capture (mocap) technology offers a portable, accessible solution that significantly reduces analysis time from hours to just 5-10 minutes. Using only two cameras and a web-based system, Mokapp stands out for its efficiency and convenience compared to traditional […]

When newly registered nurses start their careers in hospitals, they face severe transition shock due to the huge gap between their learning from educational institutions and real-life healthcare environments. Due to insufficient resources for training these new nurses, hospitals suffer from a high new-nurse turnover rate and more frequent medical errors caused due to the […]