Assoc Prof Dr. Yang Wang | Optimization Awards | Best Researcher Award

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Assoc Prof Dr. Yang Wang | Optimization Awards | Best Researcher Award

Assoc Prof Dr. Yang Wang, Shanghai DianJi university, China

Yang Wang is a Professor at Shanghai Dianji University and serves as the Deputy Director of the Planning and Development Office. Her expertise lies in fault diagnosis of complex industrial processes and energy system optimization. As a Master’s Supervisor and a reviewer for the Journal of ISA Transactions, she contributes significantly to her field. Yang Wang has earned recognition for her innovative work, including a second prize in the “Shanghai Teaching Innovation Competition” and the “Design Star” in the “5th National College Hybrid Teaching Design Innovation Competition.” Her research includes designing resilient multi-energy systems and employing advanced techniques to manage forecast errors and uncertainties.

Professional Profile:

Scopus

Evaluation for Prof. Yang Wang’s Suitability for the Best Researcher Award

Prof. Yang Wang’s impactful research, innovative achievements, and dedication to education and professional contributions position her as a highly suitable candidate for the Best Researcher Award. Her expertise and recognition in energy system optimization and fault diagnosis underscore her significant contributions to her field, making her a deserving recipient of this honor.

šŸ¢Current Roles:

Yang Wang is a Professor at Shanghai Dianji University, where she also serves as the Deputy Director of the Planning and Development Office. In her academic role, she supervises Master’s students and contributes as a reviewer for the Journal of ISA Transactions. Her responsibilities encompass both administrative leadership and academic mentorship, reflecting her significant role in advancing research and development at the university.

šŸ…Awards and Recognitions:

Yang Wang has been honored with the Second Prize in the Shanghai Teaching Innovation Competition and has received the “Design Star” award in the 5th National College Hybrid Teaching Design Innovation Competition. These accolades recognize her exceptional contributions to educational innovation and her commitment to advancing teaching methodologies.

Publication Top Notes:

  • Distributed Monitoring of Nonlinear Plant-Wide Processes Based on GA-Regularized Kernel Canonical Correlation Analysis
  • Optimizing Multi-Energy Systems with Enhanced Robust Planning for Cost-Effective and Reliable Operation
  • Interpretable Chiller Fault Diagnosis Based on Physics-Guided Neural Networks
  • Short-Term Power Load Forecasting Based on IWOA-GRU
  • Flexible Adaptive Marine Predator Algorithm for High-Dimension Optimization and Application in Wind Turbine Fault Diagnosis

 

 

 

 

 

Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

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Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Mr. Hector Ferrada, Universidad Austral de Chile, Chile

Mr. Hector Ferrada is a researcher at Universidad Austral de Chile, specializing in Computer Science. He completed his Ph.D. at Universidad de Chile, focusing on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D. Mr. Ferrada has professional experience in genome-scale algorithmics from an internship at the University of Helsinki, Finland. His research interests include algorithms design, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications. He currently leads the ANID’s Fondecyt IniciaciĆ³n 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction, and contributes as a Co-Investigator on GPU technologies for simulations and meshing algorithms for polygons and polyhedrons.

šŸŒĀ Professional Profile:

Orcid

šŸŽ“ Education:

Ph.D. in Computer Science from Universidad de Chile, Santiago, Chile (2010-2016). Thesis on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D.

šŸ‘Øā€šŸ’¼ Professional Experience:

Internship at the Department of Computer Science, University of Helsinki, Finland (2013), focusing on genome-scale algorithmics under Veli MƤkinen, Ph.D.

šŸ” Research Interests:

Specializes in design and analysis of algorithms, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications.

šŸ”¬ Research Projects:

Currently serves as Principal Investigator for ANID’s Fondecyt IniciaciĆ³n 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction. Co-Investigator on projects combining GPU technologies for simulations and developing meshing algorithms for polygons and polyhedrons.

Publication Top Notes:

  • Title: Accelerating range minimum queries with ray tracing cores
    • Journal: Future Generation Computer Systems
    • Year: 2024
  • Title: A succinct and approximate greedy algorithm for the Minimum Set Cover Problem
    • Journal: Journal of Computational Science
    • Year: 2024
  • Title: An evaluation of GPU filters for accelerating the 2D convex hull
    • Journal: Journal of Parallel and Distributed Computing
    • Year: 2024
  • Title: A sorting algorithm based on ordered block insertions
    • Journal: Journal of Computational Science
    • Year: 2022