جست‌وجوی استاد و پژوهشگر

• High-Performance Computing
• Distributed Systems
• Graph Algorithms
• +۳ مورد دیگر

Tahsin Reza is an Assistant Professor at the University of Waterloo, affiliated with the Faculty as a full-time member. His research focuses on high-performance computing, distributed systems, and large-scale graph processing. His work emphasizes algorithmic optimization for irregular parallelism, distributed approximation algorithms, and efficient handling of massive graphs with billions of edges. Key research interests include developing frameworks like YGM for HPC, HyGN for NUMA architectures, and tools such as PruneJuice for graph pruning. His contributions span graph algorithms for Steiner trees, temporal graphs, and metadata-driven pattern matching. He has extensively explored GPU and hybrid CPU-GPU systems to accelerate graph processing tasks in domains like InSAR data analysis and VANET tracking. No scientific awards or grants are explicitly mentioned in the provided materials. His work has been published in top venues, consistently addressing challenges in scalability, efficiency, and real-world applicability of graph-based solutions.

Miao Qiaoمشاهده پروفایل

مدرس

• Data Science
• Graph Analytics
• Brain Network Analytics
• +۲ مورد دیگر

Miao Qiao is a faculty member at the School of Computer Science , University of Auckland , where she has worked since 2018. Her research bridges theoretical and applied aspects of data science and management , focusing on vector data management , graph search and analytics , and brain network analytics . Research Interests : Data Science, Graph Analytics, Brain Network Analytics Grants : Royal Society of New Zealand (NZD 300,000, 2018–2024): Subgraph Matching: Theory and Practice The Ministry of Business, Innovation and Employment (NZD 3,000,000, 2020–2024): Advanced Graph Analytics for Human Brain Connectivity Professional Services : Review Board Member, PVLDB 2021 Program Committee Member: PODS 2023, ADC 2018, IJCAI 2019–2021, CIKM 2019, AAAI 2020–2021 Invited Reviewer: SCG 2019, TODS 2015–2019, TKDE 2018–2021, KDD 2016, ICDM 2013–2014, WISE 2013, VLDBJ 2013–2021, NIPS 2021 Program Chair: ISWC Doctoral Consortium 2019, ADC 2021 Teaching : Database Systems (2017–2023) Algorithms for Massive Data (2018–2019) Systems Analysis and Modeling (2016–2018) Algorithms (2017–2018) Scientific Awards : PREMIA Best Student Paper Honourable Mention Award VLDB 2013 Travel Fellowship Shanghai Jiao Tong University 1st Class Scholarship ACM/ICPC 3rd Place, Singapore Computer World Scholarship Singapore Technology Engineering Scholarship ACM/ICPC 1st Place, Korea Silver medal, National Olympiad in Informatics, China

Xiao Huمشاهده پروفایل

استادیار

• Database Theory
• Massively Parallel Query Processing
• Dynamic Query Processing
• +۵ مورد دیگر

Xiao Hu is an Assistant Professor at the University of Waterloo, specializing in database theory and nanofabrication. His research focuses on fundamental database systems, parallel query processing, and advanced nanomaterial fabrication techniques. He holds a BE from Tsinghua University (2014) and a Ph.D. from HKUST (2019). Research Interests: Database theory, massively parallel query systems, dynamic query optimization, oblivious processing frameworks, nanoscale semiconductor fabrication, plasma etching processes, and extreme ultraviolet lithography applications. Publications span nanostructure fabrication methods (e.g., silicon nanocone arrays, cryogenic etching), advanced sensor technologies (e.g., gold interdigitated biosensors), and semiconductor material analysis (e.g., GaN/perovskite interfaces). His work addresses challenges in high-precision nanofabrication and optoelectronic device performance optimization. Key technical contributions include novel plasma etching techniques for high-aspect-ratio structures, theoretical modeling of semiconductor thermal properties, and innovative biosensor designs for rapid pathogen detection.