Find Academic Supervisors

• Robotics
• Automation
• Advanced Manufacturing
• +3 more

Philip Long is a Lecturer in Automation, Robotics & Advanced Manufacturing at the Department of Mechanical & Industrial Engineering, University of Galway. He serves as a Principal Investigator in the Engineering Research Group (ERG), focusing on robotics and advanced manufacturing systems. Research Interests: Active in robotics engineering, his work spans non-prehensile manipulation, sensor fusion for obstacle detection, wrench capability analysis in parallel robots, and human-supervised operations in extreme environments. His research integrates mechanical design, control theory, and AI to enhance robotic performance. Recent Publications: His 2023 contributions include methods for state-triggered constraints in manipulation tasks, polytope-based performance metrics, and multi-sensor fusion techniques. Earlier work (2021) explores humanoid robot safety in radioactive environments. Collaborations: Collaborates with researchers like Dr. Taskin Padır (Northeastern University) and Dr. Stéphane Caro (CNRS). Affiliated with institutions in Ireland and the US.

Erika DuriakovaView profile

Research Fellow

• Distributed Systems
• Graph Processing
• Machine Learning
• +2 more

Erika Duriakova serves as a Postdoctoral Research Fellow at the Insight Centre for Data Analytics, specializing within the Recommender Systems research group. Her current research centers on pioneering secure decentralised marketplaces for data sharing, integrating her expertise in distributed computing and machine learning to address critical privacy challenges in modern data ecosystems. Her academic credentials include: PhD in Computer Science, University College Dublin, 2018 Duriakova's research spans foundational work in parallel and distributed systems, with significant contributions to scalable graph processing architectures and machine learning applications. Her earlier investigations into distributed recommender systems established frameworks for efficient large-scale recommendation engines, while her current focus on secure data marketplaces explores cryptographic techniques and decentralised protocols to enable trustworthy data exchange without compromising user privacy. This trajectory demonstrates a consistent emphasis on solving scalability bottlenecks in data-intensive computing environments through innovative system design. Within the Recommender Systems research group, she collaborates on advancing algorithmic approaches that balance personalization with ethical data handling, contributing to the Centre's mission of developing human-centric data analytics solutions. No scientific awards, student mentorship records, or grant funding details are documented in the available materials.