Weiguo Cao | medical image processing | Best Innovation Award

Dr. Weiguo Cao | medical image processing | Best Innovation Award

Mayo Clinic | United States

Publication Profile

Google Scholar

👨‍💻 Summary

Dr. Weiguo Cao is a Senior Research Fellow at the Mayo Clinic, specializing in computer vision, machine learning, and medical image processing. With a Ph.D. in Computer Science from the Chinese Academy of Sciences, his research bridges cutting-edge AI technologies with healthcare applications, focusing on diagnostic tools and medical image analysis.

🎓 Education

Dr. Cao completed his Ph.D. in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2011. His dissertation was titled “3D Non-rigid Shape Analysis Technology and their Applications.”

💼 Professional Experience

Dr. Cao has held key roles at prestigious institutions. He is currently a Senior Research Fellow at Mayo Clinic (June 2021-present), following his tenure as a Postdoctoral Associate at the State University of New York (2017-2021). Previously, he worked as a Research Scientist at Alibaba Group (2016-2017) and the Institute of Computing Technology, Chinese Academy of Sciences (2011-2016).

📚 Academic Citations

Dr. Cao’s work is widely recognized, with numerous publications in medical imaging, computer vision, and AI. His research outputs have contributed to advancements in medical image segmentation, machine learning algorithms, and deep learning for clinical decision support.

💻 Technical Skills

Dr. Cao is proficient in Python, C++, MATLAB, and R for programming. His technical expertise spans image processing, including texture and shape analysis, medical image segmentation, and feature extraction. He has deep experience in machine learning, working with models like SVM, Random Forest, CNN, and RNN. He’s also skilled in software design, system architecture, and using tools like Keras, TensorFlow, PyTorch, and CUDA.

👨‍🏫 Teaching Experience

Throughout his career, Dr. Cao has mentored students and researchers, offering expertise in image processing, machine learning, and software development. His contributions to educational projects and research have supported the development of new AI applications in healthcare.

🔬 Research Interests

Dr. Cao’s research interests include medical image processing (detection, segmentation, and classification of medical images), machine learning (deep learning models like CNN and RNN for healthcare), pattern recognition, and software design for creating advanced diagnostic tools. His work aims to improve the accuracy and efficiency of clinical decision-making through AI-powered systems.

📚 Top Notes Publications 

3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography
    • Authors: J. Tan, Y. Gao, Z. Liang, W. Cao, M.J. Pomeroy, Y. Huo, L. Li, M.A. Barish, …

    • Journal: IEEE Transactions on Medical Imaging

    • Year: 2020

An Investigation of CNN Models for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Datasets
    • Authors: Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng …

    • Journal: Computerized Medical Imaging and Graphics

    • Year: 2019

GLCM-CNN: Gray Level Co-occurrence Matrix Based CNN Model for Polyp Diagnosis
    • Authors: J. Tan, Y. Gao, W. Cao, M. Pomeroy, S. Zhang, Y. Huo, L. Li, Z. Liang

    • Journal: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics

    • Year: 2019

SHREC’08 Entry: 3D Face Recognition Using Moment Invariants
    • Authors: D. Xu, P. Hu, W. Cao, H. Li

    • Journal: IEEE International Conference on Shape Modeling and Applications

    • Year: 2008

Real-Time Accurate 3D Reconstruction Based on Kinect v2
    • Authors: Li Shi-Rui, Li Qi, Li Hai-Yang, Hou Pei-Hong, Cao Wei-Guo, Wang Xiang-Dong, …

    • Journal: Journal of Software

    • Year: 2016

Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård at Stockholm University, Sweden

Professional Profile👨‍🎓

Early Academic Pursuits 🎓

Dr. Håkan Jankensgård’s academic journey began with a strong foundation at Lund University, Sweden, where he completed both his MSc in Business Administration (2001) and later his PhD in Business Administration (2011). His dissertation, titled “Essays on Corporate Risk Management,” reflects his early academic focus on risk management, which has become the cornerstone of his research career. His education was further enriched by several specialized courses, including Lärarrollen vid universitet och högskola (2014) and The Good Lecture (2015), honing his teaching and supervisory skills.

Professional Endeavors 💼

Dr. Jankensgård’s professional career spans both academia and industry, bringing practical expertise into the classroom. From 2001 to 2003, he served as a Risk Manager at Norsk Hydro in Oslo, Norway, where he gained valuable real-world experience in corporate risk management. His consulting role at Lund, Sweden, from 2004 to 2012, deepened his understanding of corporate finance and risk strategies. This combination of academic excellence and hands-on industry experience makes him a well-rounded academic and consultant.

Contributions and Research Focus 🔍

Dr. Jankensgård’s research is centered on corporate risk management, with an emphasis on understanding how businesses navigate and mitigate financial risks. His work on the role of CEOs in risk management and his long-term study on the effectiveness of corporate risk management have made significant contributions to the field. His research has been supported by prestigious funding bodies like the Jan Wallander and Tom Hedelius Foundations, showcasing his reputation within the academic and professional community. Notably, his studies have questioned the true effectiveness of corporate risk management, offering new insights into the implementation and value of risk strategies in business.

Impact and Influence 🌍

Dr. Jankensgård’s influence extends far beyond his research. He has been actively involved in shaping the discourse on corporate finance, risk, and resilience. He regularly speaks at high-profile events, such as the Svenska Finansanalytikers Förbund and the Rotary Stockholm, and contributes to discussions on risk governance, strategy, and financial forecasting. As a member of various academic and professional committees, including his role on the FFUN committee at Lund University, he has been integral in shaping academic appointments and ensuring the integrity of academic processes.

Academic Citations 📚

Dr. Jankensgård’s research has garnered significant academic attention, with over 820 citations and an H-index of 13 on Google Scholar. His works are widely read, with 5,293 downloads on SSRN, placing him in the top 5% of authors on the platform. These numbers reflect his growing impact in the fields of corporate finance and risk management, as scholars and practitioners continue to engage with his work.

Technical Skills ⚙️

Dr. Jankensgård’s technical expertise is vast, particularly in risk management, corporate finance, and valuation. He has a deep understanding of financial markets, risk governance, and resilience strategies, all of which he integrates into his teaching and research. His ability to apply theoretical knowledge to real-world scenarios, combined with his technical proficiency in financial modeling and corporate strategy, has made him a sought-after consultant and speaker.

Teaching Experience 📚

Dr. Jankensgård’s teaching experience spans over a decade, during which he has developed and led several key courses. As the instructor and course director for courses like Managerial Finance, Corporate Risk Management, and Corporate Valuation at both Lund University and Stockholm University, he has impacted the education of hundreds of students. His courses have been highly ranked, with students consistently praising their relevance to future careers. Beyond course delivery, he is an active doctoral supervisor, guiding 8-15 thesis students annually and contributing to their academic growth.

Legacy and Future Contributions 🚀

Dr. Jankensgård’s legacy lies in his commitment to bridging theory and practice in corporate finance and risk management. As an educator, researcher, and industry expert, he continues to shape the future of the field. His ongoing research projects and speaking engagements suggest that his influence will only grow in the coming years. His contributions to understanding corporate risk, valuation, and resilience will continue to guide future research and industry practices.

YouTube Channel 📹

In addition to his academic work, Dr. Jankensgård has embraced digital media to further educate and engage with a wider audience. His YouTube channel, Jankensgard on Risk, launched in 2021, is dedicated to the theory and practice of risk management. With 250+ subscribers, it serves as an accessible platform for students, professionals, and enthusiasts interested in corporate risk strategies.

Doctoral Supervision 📝

Dr. Jankensgård is deeply involved in the academic development of doctoral students. He has supervised several PhD candidates, including Nick Christie, whose thesis explores financial constraints, risk, and investment. His active participation in doctoral committees, such as the grading of doctoral dissertations, further highlights his commitment to advancing academic knowledge and supporting the next generation of scholars.

 

Top Noted Publications 📖