Area of research
Computer Networks and Communications · Hardware and Architecture
Research interest
Research focused on Artificial intelligence and Degree (music), with related work in Snapshot (computer storage), Social innovation, Mathematics education. Notable publications include 'The hierarchical Petersen network: a new interconnection network with fixed degree', 'Event-driven partial barriers in wireless sensor networks', and 'Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis'.
Uncertainty-Aware Skin Cancer Classification with Deep Ensembles
Diversity-Enhanced Snapshot Ensembles: Improving Robustness via Diversity-Based Snapshot Selection
Social Innovation Advancing Society Through R&D
Viability Study of Machine Learning Models to Identify Talented Students at the Early Stage of Their College Study
The hierarchical Petersen network: a new interconnection network with fixed degree
Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis
Event-driven partial barriers in wireless sensor networks
Barrier-Coverage for City Block Monitoring in Bandwidth Sensitive Vehicular Adhoc Networks