Ciprian Radu

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

This paper presents an assistive system for human-exoskeleton interaction, focusing on improving mobility and rehabilitation for users with physical disabilities.

Recent Developments in Computational Collective Intelligence, 187-196

This paper presents a cloud-based group decision support system that facilitates collaborative decision-making processes in distributed environments.

Neurocomputing 146, 151-163

This paper presents a stigmergic approach for designing social interactions in collaboration engineering, inspired by self-organizing principles observed in nature.

Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management

This paper presents an integrated architecture for next-generation mobile health services targeting teenagers, focusing on education, monitoring, and prevention.

Microprocessors and Microsystems 37 (1), 65-78

This paper presents domain-knowledge evolutionary algorithms for optimizing application mapping in Network-on-Chip architectures, leveraging specific domain expertise to improve performance.

Advances in Intelligent Control Systems and Computer Science, 473-487

This paper presents a domain-knowledge optimized simulated annealing approach for Network-on-Chip application mapping, incorporating specific domain expertise to enhance the optimization process.

14th International conference on modern information technology in the innovation processes of the industrial enterprises

This paper presents a practical implementation of the Virtual Factory Framework, demonstrating its application in industrial settings for improved manufacturing processes.

Joint Virtual Reality Conference of ICAT, EGVE and EuroVR, 2012

This paper presents a 3D virtual meeting tool integrated with factory environments, enabling remote collaboration and assessment in manufacturing settings.

Proceedings of the 18th International Conference on Control Systems and Computer Science

This paper presents an Optimized Simulated Annealing (OSA) algorithm that deals with the topological placement of cores onto NoC nodes. The algorithm is derived from a general energy- and performance-aware Simulated Annealing and employs and adapts some of the best Simulated Annealing practices from the field of task scheduling.

Acta Universitatis Cibiniensis Technical Series

This paper outlines the main contributions of an ongoing PhD research, which addresses the Network-on-Chip application mapping problem. It presents UniMap, a framework that evaluates and optimizes algorithms for Network-on-Chip application mapping, through a unified approach.

9th RoEduNet IEEE International Conference, 259-264

This paper presents a preliminary PhD research towards developing a framework to evaluate and optimize application mapping algorithms for Network-on-Chip architectures.

ACACES 2010 Poster Abstracts, 163-166

This paper proposes a unified framework for evaluating and optimizing Network-on-Chip application mapping algorithms, providing a standardized approach for comparison and improvement.

ACACES 2009 Poster Abstracts, 151-154

This paper explores research opportunities in multicore architectures, presenting initial investigations and potential directions for future work.

The 6th EUROSIM Congress on Modeling and Simulation

This paper presents an interactive graphical trace-driven simulator for teaching branch prediction in computer architecture courses. The simulator helps students understand the importance of branch prediction in modern superscalar microarchitectures and provides a wide variety of configuration options.

Proceedings of 9th International Symposium on Automatic Control and Computer Science

This paper presents the design of an advanced simulator for unbiased branches prediction, focusing on identifying and addressing the challenges of predicting branches with low polarization.

This paper focuses on understanding and predicting unbiased branches in general-purpose applications, analyzing their characteristics and developing prediction techniques.