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

 

 

 

Prof. Dr. Sandy (Jeong Yeon) Rhie | Optimization Awards | Best Researcher Award

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Prof. Dr. Sandy (Jeong Yeon) Rhie | Optimization Awards | Best Researcher Award

Prof. Dr. Sandy (Jeong Yeon) Rhie , Ewha Womans University , South Korea

Sandy (Jeong Yeon) Rhie, Pharm.D., Ph.D., is a prominent professor at Ewha Womans University in Seoul, Republic of Korea. With a robust academic background, she earned her Pharm.D. from the University of Maryland, School of Pharmacy in 2003, and holds a Ph.D. in Pharmacokinetics and Pharmacodynamics from Ewha Womans University. Dr. Rhie has held various leadership roles at Ewha, including Director of the Ewha Research Institute of Pharmaceutical Sciences and Department Head of the Graduate School of Life Pharmaceutical Sciences. Her teaching expertise spans a wide range of pharmacy courses, focusing on pharmacotherapy and pharmaceutical care. Dr. Rhie’s research interests and contributions are significant in clinical pharmacy and pharmaceutical sciences, making her a respected figure in her field.

Professional Profile:

Scopus

Orcid

šŸ«Ā Academic Positions

  • ProfessorĀ (March 2019 – Present): Ewha Womans University, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Seoul, Republic of Korea
  • Associate ProfessorĀ (March 2014 – February 2019): Ewha Womans University, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Seoul, Republic of Korea

šŸŽ“Ā Education

  • Pharm.D.Ā (May 2003): University of Maryland, School of Pharmacy, Baltimore, MD, USA
  • Ph.D. in Pharmacokinetics and PharmacodynamicsĀ (February 1997): Ewha Womans University, Seoul, Republic of Korea

šŸ¢Ā Clinical Professional Experience

  • Medical Committee Member/Pharmacy HeadĀ (September 2023 – February 2024): 2024 Gangwon Youth Olympic Games
  • Medical StaffĀ (July 2021): 2020 Tokyo Olympic Games
  • Head of PharmacyĀ (February 2018 – March 2018): 2018 PyeongChang Olympics and Paralympics Games
  • Advisor for Pharmacy ServiceĀ (July 2019 – August 2019): Gwangju 2019 World Aquatics Championships, Gwangju, South Korea

šŸ”¬Ā Research Projects (Principal Investigator)

  • 2020-2023: Development of precision antimicrobial pharmaceutical care service and clinical outcomes by a machine learning-based antimicrobial treatment algorithm and Monte Carlo simulation (National Research Foundation of Korea grant)
  • 2021-2022: Development of various types of Computer-based Test (CBT) for the Health Care Professional National Licensing Examination (Korea Health Personnel Licensing Examination Institute)
  • 2017-2020: Implementation of pharmaceutical care practice models in infectious diseases managements to improve treatment outcomes and the quality of healthcare services (National Research Foundation of Korea grant)
  • 2022-2023: Optimization of selecting empirical antibiotics to improve clinical outcomes (Ewha Womans University)

šŸ“šĀ Teaching Experience

  • Pharm.D. Courses: Pharmacotherapy V (Infectious Diseases), Pharmacotherapy III (Neuropsychiatric Disorders), Pharmacy Lab VI, Introductory Pharmacy Practice Education, Advanced Pharmacy Practice Education
  • Graduate Courses: Clinical Health Data Analysis and Application, Pharmaceutical Care Service I & II, Pharmacotherapy and Practice Applications, Sports Pharmaceutical Care and Anti-doping

šŸ“œĀ Licenses & Certifications

  • IOC Certificate in Drugs in SportĀ (April 2019)
  • Advanced Cardiac Life Support (ACLS) and Basic Life Support (BLS) CertificationĀ (April 2005): American Heart Association
  • Pharmacy-based Immunization Delivery CertificationĀ (March 2006): American Pharmacists Association
  • Registered Pharmacist (Pennsylvania)Ā (June 2004): National Board of Pharmacy
  • Registered Pharmacist (New Jersey)Ā (October 2003): National Board of Pharmacy

Publication Top Notes:

  • Translation of Machine Learning-Based Prediction Algorithms to Personalised Empiric Antibiotic Selection: A Population-Based Cohort Study
    • Authors: Kim, C., Choi, Y.H., Choi, J.Y., Park, R.W., Rhie, S.J.
    • Citations: 2
  • Institutional-specific smartphone application as a supplemental tool for an antimicrobial stewardship program in 2 large community-based hospitals: Acceptance of physicians and pharmacists
    • Authors: Cho, S., Kim, C., Kim, S.H., Kim, C.-J., Rhie, S.J.
    • Citations: 3
  • Optimal antipseudomonal Ī²-lactam drug dosing recommendations in critically-ill Asian patients receiving CRRT
    • Authors: Jang, S.M., Lewis, S.J., Rhie, S.J.
    • Citations: 4
  • Pharmacy services at the Tokyo 2020 Olympic and Paralympic Games: Perspectives of the pharmacy workforce
    • Authors: Kasashi, K., Sato, A., Stuart, M., Suzuki, S., Rhie, S.J.
    • Citations: 2