Prof. Dr Chih-Yung Tsai | Machine learning | Best Researcher Award |

Prof. Dr Chih-Yung Tsai | Machine learning | Best Researcher Award

Professor, at University of Taipei, Taiwan.

Prof. Dr. Chih-Yung Tsai is a distinguished academic and researcher specializing in electrical engineering and nanotechnology. He is currently a professor at the Department of Electrical Engineering, National Taiwan University (NTU). Dr. Tsai’s work has significantly advanced the fields of nanolithography, integrated circuit design, and advanced manufacturing processes

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education 

Dr. Tsai earned his Bachelor of Science and Master of Science degrees from National Taiwan University. He then pursued his Ph.D. in Aeronautics and Astronautics, with a minor in Electrical Engineering, at Stanford University, completing it in 2002.

💼 Experience 

From 2002 to 2005, Dr. Tsai served as a Senior Process Engineer in lithography at Intel Corporation. During this time, he worked on performance monitoring and improvement of 193-nm microlithography scanners for Intel’s 90-nm process technology. In 2005, he joined the faculty of NTU’s Department of Electrical Engineering, where he established and directed several research laboratories, including the Nanoscale Design and Fabrication Systems Lab (NDFSL), Particle Beam Precision Patterning and Imaging Lab (PBPPIL), and High-Performance Servo Systems Lab (HPSSL).

🔬 Research Interests 

Dr. Tsai’s research centers on the design and application of advanced control, simulation, signal processing, optimization, and machine learning techniques to solve nanolithography and nanotechnology-related problems. His current focus includes the design and fabrication techniques of exploratory nanoscale integrated circuits at the IRDS 10 nm half-pitch node and beyond. He is also involved in aerospace-related research activities and has conducted research on control system design automation, automotive and aerospace electronics, consumer electronics, and biomedical equipment design.

🏆 Awards 

Dr. Tsai has been recognized for his contributions to the field with several honors. He has been invited by The Japan Society of Applied Physics to serve as Program Committee Section Sub Head in International Microprocesses and Nanotechnology since 2007. He has also been invited to present on innovative applications of helium ion beam nanofabrication and techniques for EUV mask defect detection technology research and development at various international workshops and seminars.

📚 Top Noted Publications 

Title: Applying the theory of planned behavior to explore the independent travelers’ behavior
Author(s): CY Tsai
Citations: 109
Index: African Journal of Business Management 4 (2), 221
Year of Publication: 2010

Title: Using the technology acceptance model to analyze ease of use of a mobile communication system
Author(s): CY Tsai, CC Wang, MT Lu
Citations: 79
Index: Social Behavior and Personality: an international journal 39 (1), 65-69
Year of Publication: 2011

Title: The impact of tour guides’ physical attractiveness, sense of humor, and seniority on guide attention and efficiency
Author(s): CY Tsai, MT Wang, HT Tseng
Citations: 55
Index: Journal of Travel & Tourism Marketing 33 (6), 824-836
Year of Publication: 2016

Title: An analysis of usage intentions for mobile travel guide systems
Author(s): CY Tsai
Citations: 48
Index: African Journal of Business Management 4 (14), 2962
Year of Publication: 2010

Title: Learning under time pressure: Learners who think positively achieve superior learning outcomes from creative teaching methods using picture books
Author(s): CY Tsai, YH Chang, CL Lo
Citations: 39
Index: Thinking Skills and Creativity 27, 55-63
Year of Publication: 2018

Conclusion

Prof. Dr. Chih-Yung Tsai’s illustrious career in electrical engineering and nanotechnology has significantly advanced the understanding and application of nanolithography and integrated circuit design. His dedication to research, education, and innovation continues to inspire and shape the future of technology.

Ms Lara Pörtner | Data Management | Best Researcher Award |

Ms. Lara Pörtner | Data Management | Best Researcher Award | 

PhD Student , at Université Grenoble Alpes, Germany.

Lara Pörtner is a researcher and industry expert specializing in digital strategy, data analytics, and industrial engineering. With a strong academic foundation and professional experience in master data governance, she bridges the gap between research and real-world applications. Fluent in multiple languages, she has worked on international projects in data strategy, innovation management, and digital transformation.

Professional Profile

Scopus

Education 🎓

Lara is currently pursuing a PhD in Digital Strategy at Université Grenoble Alpes, France (2022–2025), where she focuses on developing customer-specific reference models for optimizing data strategies using maturity analysis methods. She holds a double master’s degree (M.Sc. Industrial Engineering and Management) from Karlsruhe Institute of Technology (KIT), Germany, and Institute National Polytechnique Grenoble (G-INP), France, with a specialization in innovation management, digitalization, and automotive engineering. Her academic journey began with a B.Sc. in Industrial Engineering and Management from KIT (2016–2020), where she built expertise in supply chain management, strategy, and organization.

Professional Experience đź’Ľ

Lara has held multiple roles in leading organizations across data & analytics, digital transformation, and strategy consulting. She started her career as an intern and working student in Master Data Management at cbs Corporate Business Solutions (2020–2021), where she supported SAP MDG system implementations. She later joined CAMELOT Management Consultants AG (2022–2024) as a Senior Consultant, contributing to SAP MDG BP implementation, process design, user training, and data strategy assessments. Currently, she is a Senior Associate in Data & Analytics at PricewaterhouseCoopers (PwC), Munich (2025–present), focusing on enterprise-wide digital strategy initiatives. Her industry experience is complemented by her early research work as a Student Assistant at wbk Institute of Production Tech., Karlsruhe Institute of Technology (2020), and an internship in Strategy & Innovation Management at Lufthansa Cargo AG (2018).

Research Interests 🌍

Her research primarily revolves around digital strategy, data analytics, and master data governance. She works on designing advanced methodologies for data maturity assessment, enabling organizations to optimize data-driven decision-making. Her work integrates elements of machine learning, enterprise data management, and business process optimization, contributing to the evolution of digital transformation frameworks.

Awards & Honors 🏆

Lara has received several prestigious recognitions, including the DLR Graduate Program (2022–2024), demonstrating her involvement in high-impact research. She was selected for the Accenture Female Talent Program (2021), highlighting her leadership potential in the tech and consulting space. Early in her academic career, she secured 2nd place in the Jugend Forscht competition (2016), showcasing her research abilities. She also holds professional certifications such as SCRUM Master, SAFe 6 Agilist, and LEAN Basic Certificate.

Top Noted Publications 📚

Title: Data Literacy Assessment – Measuring Data Literacy Competencies to Leverage Data-Driven Organizations
Authors: Lara Pörtner, Andreas Riel, Vivian Klaassen, Dilara Sezgin, Ysaline Kievits
Citations: 0

Conclusion

Lara Pörtner has an impressive profile with a strong academic foundation, industry research experience, and technical expertise in data strategy and analytics. If the award prioritizes applied research, digital strategy, and industry impact, she is a strong candidate. However, if the focus is on academic publications and fundamental research contributions, she may need to enhance her research output to improve her chances.

Mr Ernesto Diaz | Data Scientist | Best Researcher Award

Mr Ernesto Diaz |  Data Scientist | Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging , United States.

Ernesto Diaz is an accomplished researcher and data scientist specializing in biomedical imaging and artificial intelligence applications in healthcare. With a strong background in medical imaging, deep learning, and data science, he has contributed significantly to Hyperpolarized Carbon-13 MRI research, cancer imaging, and radiation oncology. His work has been recognized through prestigious NIH awards, peer-reviewed publications, and multiple conference presentations. Passionate about advancing healthcare technology, Ernesto combines technical expertise with a commitment to mentorship and diversity in STEM.

Professional Profile

Orcid

Education 🎓

Ernesto earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, graduating with Dean’s List honors (2020-2022). His education provided a strong foundation in programming, data analysis, and computational research, which he has applied extensively in biomedical imaging and artificial intelligence projects.

Professional Experience đź’Ľ

  • As a Data Scientist at UCSF’s Department of Radiology and Biomedical Imaging, Ernesto leads software development for medical imaging analysis, enhancing data processing and visualization tools. His previous research experience includes working on automated radiation treatment planning and bioinformatics coding for population health studies. His contributions have improved efficiency in clinical workflows and advanced AI applications in medical imaging.

Research Interests 🌍

His research revolves around Hyperpolarized Carbon-13 MRI, deep learning for medical image segmentation, and automation in radiation oncology. At UCSF, he developed a DICOM standardization tool for metabolic imaging and co-developed a U-Net deep learning model for prostate cancer segmentation. Additionally, he has explored health disparities in underserved communities, analyzing COVID-19’s impact on marginalized populations.

Awards & Honors 🏆

  • NIH Diversity Supplement Award (2022-2024) – Recognized for contributions to Hyperpolarized 13C MRI research.
  • NIH-SF BUILD Scholar (2021-2022) – Selected for leadership potential and commitment to diversity in research.
  • Dean’s List (2020-2022) – Awarded for academic excellence at San Francisco State University.

Top Noted Publications 📚

Title: Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Authors: Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, et al.

Journal: Tomography

Publication Year: 2025

DOI: 10.3390/tomography11030021

Indexing: Indexed in major scientific databases.

Conclusion

Ernesto Diaz is a rising leader in medical imaging research, blending AI, data science, and biomedical imaging to drive innovation. With his technical skills, research excellence, and dedication to mentorship, he continues to push the boundaries of healthcare technology and scientific discovery. 🚀