Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnamโ€™s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award โ€“ Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

๐ŸŽ“ Education

  • ๐Ÿ“˜ Ph.D. in Finance โ€“ Lincoln University, Canterbury, New Zealand (April 2013)

  • ๐Ÿ“— Master of Management โ€“ University of the Philippines, Los Baรฑos (June 2003)

  • ๐Ÿ“• B.Sc. in Finance โ€“ Can Tho University, Viet Nam (September 1999)

๐Ÿ‘จโ€๐Ÿซ Work Experience

  • ๐Ÿง‘โ€๐Ÿซ Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020โ€“present)

  • ๐Ÿ“š Lecturer, Department of Finance and Banking, Can Tho University (2012โ€“present)

  • ๐Ÿ“– Lecturer, Department of Economics, Can Tho University (2005โ€“2012)

  • ๐Ÿ“– Lecturer, Agricultural Economics, Can Tho University (2003โ€“2005)

  • ๐Ÿ”ฌ Research Assistant & ๐Ÿ‘จโ€๐Ÿซ Teaching Assistant, Commerce Division, Lincoln University (2011)

๐Ÿ† Achievements & Recognitions

  • ๐Ÿ“– Published Author of multiple Vietnamese books on finance and economics

  • ๐Ÿ“˜ Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • ๐Ÿ’ผ Policy Influence through development strategies funded by national and provincial governments

  • ๐ŸŒฑ Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publicationย Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Prof. Kristen Meiburger | Muscle Sonography | Best Researcher Award

Prof. Kristen Meiburger | Muscle Sonography | Best Researcher Awardย 

Prof. Kristen Meiburger, Politecnico di Torino, Italy

Dr. Kristen M. Meiburger is an Associate Professor of Biomedical Engineering at the Department of Electronics and Telecommunications, Politecnico di Torino, Italy, a position she has held since February 2025. She earned her Masterโ€™s Degree in Biomedical Engineering from Politecnico di Torino in 2010, followed by a Ph.D. in Biomedical Engineering in 2014 from the Scuola Interpolitecnica di Dottorato at the same institution. Over the years, she has progressed through various academic roles, including Research Assistant, Postdoctoral Researcher, and Tenure-track Assistant Professor. Her research primarily focuses on ultrasound imaging, biomedical signal processing, and computational modeling in biomedical engineering. Dr. Meiburger has actively contributed to international research collaborations, including serving as a Visiting Ph.D. Student at the University of Texas at Austin and a Visiting Researcher at the University of Toronto. She is a member of the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC) and the IEEE Engineering in Medicine and Biology Society (EMBS). Her contributions have been recognized with several prestigious awards, such as the Gruppo Nazionale di Bioingegneria (GNB) Masterโ€™s Thesis Award and the Politecnico di Torino Ph.D. Quality Award.

Professional Profile:

ORCID

Suitability of Dr. Kristen M. Meiburger for the Best Researcher Award

Dr. Kristen M. Meiburger is an accomplished biomedical engineer specializing in ultrasound imaging, biophotonics, and medical image processing. Her research contributions, international collaborations, and prestigious academic trajectory position her as a strong candidate for the Best Researcher Award. Below are key factors supporting her nomination.

๐ŸŽ“ Education & Work Experience

  • 2010 โ€“ Masterโ€™s Degree in Biomedical Engineering, Politecnico di Torino ๐Ÿ‡ฎ๐Ÿ‡น
  • 2011 (Jan โ€“ Dec) โ€“ Research Assistant in Biomedical Engineering, Politecnico di Torino ๐Ÿ”ฌ
  • 2012 (Jan) โ€“ 2014 (Dec) โ€“ Ph.D. in Biomedical Engineering, Scuola Interpolitecnica di Dottorato, Politecnico di Torino ๐ŸŽ“
  • 2013 (Oct) โ€“ 2014 (Apr) โ€“ Visiting Ph.D. Student, Ultrasound Imaging & Therapeutics Lab, University of Texas at Austin ๐Ÿ‡บ๐Ÿ‡ธ
  • 2015 (Jan โ€“ Mar) โ€“ Scholarship Holder in Biomedical Engineering, Politecnico di Torino ๐ŸŽ–๏ธ
  • 2015 (Apr โ€“ May, Aug โ€“ Sep) โ€“ Visiting Researcher, Biomedical Simulation Lab, University of Toronto ๐Ÿ‡จ๐Ÿ‡ฆ
  • 2016 (Mar) โ€“ 2018 (July) โ€“ Post-Doc Research Assistant in Biomedical Engineering, Politecnico di Torino ๐Ÿ”
  • 2018 (July) โ€“ 2021 (Dec) โ€“ Non-Tenure-Track Assistant Professor in Biomedical Engineering, Politecnico di Torino ๐Ÿ‘ฉโ€๐Ÿซ
  • 2021 (Dec) โ€“ 2022 (Jan) โ€“ Research Assistant in Biomedical Engineering, Politecnico di Torino ๐Ÿ”ฌ
  • 2022 (Feb) โ€“ 2025 (Jan) โ€“ Tenure-Track Assistant Professor, Politecnico di Torino ๐Ÿ“š
  • 2025 (Feb โ€“ Present) โ€“ Associate Professor of Biomedical Engineering, Politecnico di Torino ๐Ÿ›๏ธ

๐Ÿ† Achievements & Recognitions

  • Published and presented research at multiple national and international conferences ๐ŸŒ
  • Contributed significantly to ultrasound imaging and biomedical research ๐Ÿ“Š
  • Played an active role in international research collaborations with universities in the U.S. ๐Ÿ‡บ๐Ÿ‡ธ and Canada ๐Ÿ‡จ๐Ÿ‡ฆ

๐ŸŽ– Awards & Honors

  • ๐Ÿ… IEEE Memberships โ€“ Member of IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC) & IEEE Engineering in Medicine and Biology Society (EMBS)
  • ๐Ÿ† Masterโ€™s Thesis Award โ€“ Awarded by Gruppo Nazionale di Bioingegneria (GNB)
  • ๐Ÿฅ‡ Ph.D. Quality Award โ€“ Recognized by Politecnico di Torino for outstanding research work

Publicationย Top Notes:

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images

Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images

Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm

Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks

Impact of artificial intelligenceโ€based color constancy on dermoscopical assessment of skin lesions: A comparative study