You-Jin Park | Data Science | Best Researcher Award

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Prof. You-Jin Park | Data science | Best Researcher Award

Prof. You-Jin Park, National Taipei University of Technology, Taiwan

🎓 Prof. You-Jin Park, PhD, is an accomplished educator and researcher in Industrial Engineering, specializing in optimization using genetic algorithms. With a doctoral degree from Arizona State University, Park has extensive teaching experience across Asia and the United States. Their research contributions include work on CDMA cellular systems and post-doctoral research in collaboration with Intel Corp. Park’s expertise spans academia and industry, with roles at Samsung Electronics and as a consultant. A dedicated professional, Park continues to advance knowledge in engineering and management, shaping future generations of engineers.

Publication profile:

Scopus

Education:

🎓 Dr. You-Jin Park pursued a comprehensive academic journey in Industrial Engineering, culminating in a PhD from Arizona State University in 2003. Their dissertation, “Application of Genetic Algorithms in Response Surface Optimization Problems,” showcased their innovative approach to optimization techniques. Prior to their doctoral studies, Park earned a Master’s degree from Hanyang University, Korea, focusing on call loss and call blocking probabilities in CDMA cellular systems. This research laid the groundwork for their subsequent contributions to the field. Park’s academic journey began with a Bachelor’s degree, also in Industrial Engineering, from Hanyang University, demonstrating a lifelong dedication to engineering excellence.

Teaching Experiences:

👨‍🏫 Dr. You-Jin Park’s teaching journey reflects a rich tapestry of academic engagement spanning various prestigious institutions and continents. Beginning as a Teaching Assistant at Hanyang University, Korea, Park’s passion for education blossomed. Subsequently, they ventured to the United States, serving as a Teaching Assistant and later as a Teaching Associate at Arizona State University. Their commitment to academia extended to leadership roles as Director of the Career Development Center at Chung-Ang University, Korea. Park’s career trajectory reached new heights with appointments as Assistant and Associate Professor at ChungAng University before assuming positions of Associate and now full Professor at National Taipei University of Technology, Taiwan, where they continue to inspire students in Industrial Engineering and Management. 🌟

Research Experiences:

🔍 Dr. You-Jin Park’s research journey showcases a dynamic exploration of industrial engineering’s forefront. As a Graduate Research Associate at Arizona State University, Park delved into cutting-edge projects, including collaborations funded by Intel Corp., highlighting their expertise in industry-academic partnerships. Their contributions extended to post-doctoral research, further honing their skills as a researcher. Notably, their role as a Researcher at the Locks Institute underscored their commitment to interdisciplinary inquiry. Park’s research endeavors have been integral in advancing knowledge in industrial engineering, bridging theory and practical applications to unlock new possibilities in optimization and beyond. 🌱

Work Experiences:

💼 Dr. You-Jin Park’s professional journey reflects a diverse blend of academic and industry experiences, showcasing versatility and expertise. As a Principal Consultant at Samsung SDS, Seoul, they provided invaluable insights and guidance, leveraging their academic background to inform strategic decisions. Their tenure as a Senior Engineer at Samsung Electronics demonstrated a hands-on approach to semiconductor technology, contributing to the company’s innovation drive. Park’s stint as a Research Scholar and Faculty Associate at Arizona State University solidified their connection between academia and industry, enriching both spheres with their insights and expertise. Their multifaceted career path underscores their adaptability and commitment to excellence in various domains. 🌟

Research Focus:

🔬 Dr. You-Jin Park’s research focus lies at the intersection of industrial engineering and applied artificial intelligence, with a particular emphasis on optimization techniques for addressing complex real-world problems. Their work spans various domains, including semiconductor manufacturing, quality engineering, and process optimization. Through innovative approaches such as hybrid resampling methods and instance density-based oversampling, Park contributes to advancing the field’s understanding of imbalanced classification problems. Their research also delves into fault detection, energy efficiency, and productivity enhancement in manufacturing processes, showcasing a commitment to improving operational effectiveness and sustainability. Park’s interdisciplinary expertise combines rigorous statistical analysis with practical applications, driving advancements in industrial engineering. 🔍

Publication Top Notes:

  1. “A novel hybrid resampling for semiconductor wafer defect bin classification” (Quality and Reliability Engineering International, 2023)
    • Year of Publication: 2023
  2. “A New Hybrid Under-sampling Approach to Imbalanced Classification Problems” (Applied Artificial Intelligence, 2022)
    • Year of Publication: 2022
  3. “A new instance density-based synthetic minority oversampling method for imbalanced classification problems” (Engineering Optimization, 2022)
    • Year of Publication: 2022
  4. “A Review on Fault Detection and Process Diagnostics in Industrial Processes” (Processes, 2020)
    • Year of Publication: 2020
  5. “Improvement of Productivity through the Reduction of Unexpected Equipment Faults in Die Attach Equipment” (Processes, 2020)
    • Year of Publication: 2020
  6. “A Graphical Model to Diagnose Product Defects with Partially Shuffled Equipment Data” (Processes, 2019)
    • Year of Publication: 2019
  7. “Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing” (International Journal of Production Research, 2018)
    • Year of Publication: 2018
  8. “Optimization of pick-and-place in die attach process using a genetic algorithm” (Applied Soft Computing, 2018)
    • Year of Publication: 2018
  9. “Eco-Efficiency Evaluation Considering Environmental Stringency” (Sustainability, 2017)
    • Year of Publication: 2017
  10. “Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing” (Sustainability, 2017)
    • Year of Publication: 2017

 

Alberto Brini | Statistics | Best Researcher Award

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Dr. Alberto Brini | Statistics | Best Researcher Award

Dr. AlbertoBrini, Eindhoven University of Technology, Netherlands

Dr. Alberto Brini is a skilled biostatistician with a diverse research background in health outcomes and data analysis. With a PhD in Statistics/Data Science, he has collaborated internationally, including roles at McMaster University and Radboud University. 📊 His expertise spans patient-reported outcomes, omics data analysis, and statistical modeling for healthcare applications. Dr. Brini has taught and supervised numerous projects, demonstrating his commitment to education and mentorship. His contributions to statistical methods in (onco-)hematology and food safety research showcase his dedication to improving public health. 🩺🔬

Publication profile:

Scopus

Orcid

Google Scholar

 

Education:

Dr. Alberto Brini’s academic journey showcases a dedication to statistical excellence and interdisciplinary learning. 📚 He earned his PhD in Statistics/Data Science from Technische Universiteit Eindhoven, specializing in high-dimensional data analysis. Under the guidance of Prof. Edwin R. van den Heuvel and Dr. Jasper Engel, his thesis focused on innovative statistical methodologies. Prior to this, he obtained an MSc in Industrial and Applied Mathematics, delving into stochastic processes and longitudinal data analysis. His educational background also includes a joint MSc in Mathematical Modelling for Engineering from Politecnico di Torino, emphasizing networks and optimization. Dr. Brini’s stellar academic record culminated from his early education at Liceo Scientifico Statale Gregorio Ricci Curbastro in Lugo, Italy. 🌟

 

Experience:

Dr. Alberto Brini is an accomplished biostatistician with a rich portfolio spanning various international research projects. 🌍 Currently, he serves as a Biostatistician at Fondazione GIMEMA Franco Mandelli Onlus in Rome, Italy, leading statistical design and analysis in (onco-)hematology. As a Volunteer Researcher at McMaster University, Canada, he contributes to the analysis of the Canadian Longitudinal Study of Ageing (CLSA) within a global consortium. Previously, he provided statistical consultancy at Maxima Medisch Centrum, Netherlands, and conducted research at Radboud University and Wageningen Food Safety Research center. Dr. Brini’s expertise extends from industrial consortia to healthcare and food safety domains, reflecting his versatile skill set. 📊🔬

Honors and Awards:

Dr. Alberto Brini’s exceptional achievements extend beyond academia, reflecting his excellence in athletics and extracurricular endeavors. 🏅 He received grants and honors for academic excellence from institutions like Politecnico di Torino and Fondazione Alemanno Fantini e Margherita Orselli. Notably, he secured “ALSP Scholarships” at Eindhoven University of Technology. His prowess in athletics earned him numerous accolades, including multiple 1st place finishes in the Club National Championships for Combined Events. Dr. Brini’s diverse accomplishments also include participation in prestigious events such as the Enterprise European Business Games and the Jean Humbert Memorial World Cup for Schools. 🌟

 

Research Focus:

Dr. Alberto Brini’s research focus spans diverse areas, with a primary emphasis on statistical analysis of high-dimensional data in biomedical and healthcare contexts. 📊 His work includes studies on patient-reported outcomes in cardiac telerehabilitation programs, determinants of information needs in coronary artery disease patients, and financial toxicity in patients with hematologic malignancies. He also contributes to optimizing medical procedures, such as the surgical shortening of lengthened iliac arteries in endurance athletes. Dr. Brini’s expertise extends to missing data imputation, lifestyle behaviors, and multimorbidity patterns, reflecting his commitment to enhancing healthcare outcomes through advanced statistical methodologies. 🩺

 

Publication Top Notes:

  1. Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis by HMCK R W M Brouwers, A Brini, R W F H Kuijpers, J J Kraal 📊 Cited by: 14* (2021)
  2. Short-and long-term results of operative iliac artery release in endurance athletesby M van Hooff, MMJM Hegge, MHM Bender, MJA Loos, A Brini, … 🏃‍♂️ Cited by: 4 (2022)
  3. Improved One-Class Modeling of High-Dimensional Metabolomics Data via Eigenvalue-Shrinkage by ERHJE A Brini, V Avagyan, RCH de Vos, JH Vossen 💡 Cited by: 3 (2021)
  4. The t linear mixed model: model formulation, identifiability and estimation by M Regis, A Brini, N Nooraee, R Haakma, ER van den Heuvel 🔍 Cited by: 3 (2019)
  5. Short-and long-term outcomes after endarterectomy with autologous patching in endurance athletes with iliac artery endofibrosis. by M van Hooff, FFC Colenbrander, MHM Bender, MMJA Loos, A Brini, … 🏃‍♀️ Cited by: 2 (2023)
  6. Determinants of information needs in patients with coronary artery disease receiving cardiac rehabilitation: a prospective observational study
  7. Surgical shortening of lengthened iliac arteries in endurance athletes: Short-term and long-term satisfaction
  8. Financial Toxicity and Health-Related Quality of Life Profile of Patients With Hematologic Malignancies Treated in a Universal Health Care System
  9. USING NETWORK ANALYSIS METHODS TO STUDY MULTIMORBIDITY PATTERNS
  10. Association of Financial Toxicity and Health-Related Quality of Life in Long-Term Survivors of Acute Promyelocytic Leukemia Treated within a Universal Healthcare System