Abdul-Rasheed Ottun
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View article: BEE: Opportunistic Heat-based Bio-sensing for Produce Quality Monitoring
BEE: Opportunistic Heat-based Bio-sensing for Produce Quality Monitoring Open
Fruits and vegetables have a short shelf life, resulting in significant amounts of unsold produce in retail stores, which contributes to food waste and financial losses. To address this issue, retailers require innovative technologies that…
View article: SNAKE: Harnessing Human Touch for Produce Quality Estimation to Foster Sustainable Retail Practices
SNAKE: Harnessing Human Touch for Produce Quality Estimation to Foster Sustainable Retail Practices Open
We present SNAKE, an innovative method that harnesses heat transferred from human touch interactions to estimate product quality. SNAKE offers an accessible and cost-effective solution that seamlessly integrates with existing retail practi…
View article: TOAD: Profiling and Evaluating 3D Printed IoT Rapid Prototype Designs
TOAD: Profiling and Evaluating 3D Printed IoT Rapid Prototype Designs Open
3D printing has revolutionized DIY (Do-It-Yourself) IoT prototyping, enabling cost-effective, creative custom device creation. However, this freedom also presents challenges due to the interplay between components within an IoT design, whi…
View article: The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications
The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications Open
Despite its enormous economical and societal impact , lack of human-perceived control and safety is redefining the design and development of emerging AI-based technologies. New regulatory requirements mandate increased human control and ov…
View article: SPATIAL: Practical AI Trustworthiness with Human Oversight
SPATIAL: Practical AI Trustworthiness with Human Oversight Open
<p>We demonstrate SPATIAL, a proof-of-concept system that augments modern applications with capabilities to analyze trustworthy properties of AI models. The practical analysis of trustworthy properties is key to guaranteeing the…
View article: Pervasive Chatbots: Investigating Chatbot Interventions for Multi-Device Applications
Pervasive Chatbots: Investigating Chatbot Interventions for Multi-Device Applications Open
The inherent social characteristics of humans make them prone to adopting distributed and collaborative applications easily. Although fundamental methods and technologies have been defined and developed over the years to construct these ap…
View article: One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software
One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software Open
AI-based functionality. As a result, new requirements about software trustworthiness must be considered during the entire software development life cycle of applications. While severaL requirement management tools are available to track a…
View article: Toward Trustworthy and Responsible Autonomous Drones in Future Smart Cities
Toward Trustworthy and Responsible Autonomous Drones in Future Smart Cities Open
Autonomous drones are reaching a level of maturity when they can be deployed in cities to support tasks ranging from medicine or food delivery to environmental monitoring. These operations rely on powerful AI models integrated into the dro…
View article: Toward Trustworthy and Responsible Autonomous Drones in Future Smart Cities
Toward Trustworthy and Responsible Autonomous Drones in Future Smart Cities Open
Autonomous drones are reaching a level of maturity when they can be deployed in cities to support tasks ranging from medicine or food delivery to environmental monitoring. These operations rely on powerful AI models integrated into the dro…
View article: Social-Aware Federated Learning: Challenges and Opportunities in Collaborative Data Training
Social-Aware Federated Learning: Challenges and Opportunities in Collaborative Data Training Open
Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable da…