Risk Sciences International is currently completing a comprehensive risk assessment of the potential human health effects of manganese. This assessment involves a systematic review of the worlds’ literature on epidemiological and toxicological studies of manganese, following which an international expert panel has scored all of the adverse health outcomes identified through this review using a […]

Aerosol sprays from commercial and newly developed vaping devices will be characterized (size and concentration distributions) using a traditional low flow cascade impactor, in addition to PSD (Particle Size Distribution) analyser and PDA (Phase Doppler Anemometry). Localized regional aerosol deposition in the mouth as well as numerical simulations of aerosol dispersion will also be performed […]

The emerging 5G technology has tremendous potential in empowering a wide range of demanding applications. However, the 5G throughput can fluctuate wildly based on several factors like handoffs, user moving speed, user moving direction with respect to the radio base station, the terrain (e.g., obstacles between the user and the radio base station), the density […]

Due to the fast mobility of LEO satellites, ground users need to switch between LEO satellites frequently to keep the connection with the satellite network. The process of switching between satellites is called the handover process. Every handover process is associated with signalling overhead, processing delays, and data packet losses. The optimization of the handover […]

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as […]

Community science, the public participation and collaboration in monitoring and research, is rapidly emerging as an effective means to collect vast quantities of data in a cost-efficient manner. This may prove invaluable to conservation efforts, as using crowd-sourced data to inform decisions can allow managers to redirect limited funds towards action rather than monitoring. My […]

Four research interns will be supported by four arts funders, five universities and four arts and culture organizations, which will come together under the leadership of Mass Culture to see how the arts and culture sector impacts society today. Together, we will look at ways to strengthen community ties and foster shared social values through […]

Users and businesses have been relying on internet connectivity more than ever before since the COVID-19 pandemic. It is critical for modern network services to be well-planned, organized and monitored by system administrators and network service providers to ensure the highest possible availability, reliability, efficiency, and cost-effectiveness. Network traffic characterization and pattern prediction in-advance can […]

Benzodiazepines (BZs), including drugs such as diazepam, are used in the treatment of chronic anxiety disorders. However, dependence develops with long-term use. Much needed new antidepressant drugs with better safety profile include honokinol (extracted from Magnolia plants) and its derivative dihydrohonokiol-B (DHH-B). While honokinol requires chronic treatment to induce an anxiolytic effect in rodents, DHH-B […]

The research that I plan to conduct in this internship is part of my doctoral work. Through an ethnographic examination of the everyday realities of young men and women in West Africa’s largest marketplace, my PhD research will examine the relationship between livelihood opportunities, policy, and youth social action in Onitsha Eastern Nigeria. This research […]

Aircraft Pilot Coupling (APC) may arise when airframe structural modes encroach into the frequency range of human senses, biodynamics and control, which is becoming more relevant given the increasingly flexible and optimized airframes of next-generation aircraft. The phenomenon is characterized by oscillations sensed by the aircraft crew and passengers that negatively impact the ride quality. […]

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends […]