Weiguo Cao | medical image processing | Best Innovation Award

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

Mayo Clinic | United States

Publication Profile

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πŸ‘¨β€πŸ’» 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.

πŸŽ“ 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 β€œ3D Non-rigid Shape Analysis Technology and their Applications.”

πŸ’Ό 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).

πŸ“š 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.

πŸ’» 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.

πŸ‘¨β€πŸ« 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.

πŸ”¬ 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.

πŸ“š 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

Md. Sakib Bin Alam | Medical Imaging | Best Researcher Award

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Mr. Md. Sakib Bin Alam | Medical Imaging | Best Researcher Award

Mr. Md. Sakib Bin Alam at Pt staff University of Information Technology and Sciences, Bangladesh

πŸ‘¨β€πŸŽ“  Professional Profiles

 πŸŒ± Early Academic Pursuits

Md. Sakib Bin Alam began his academic journey with a B.Sc. in Computer Science and Engineering from the International Islamic University Chittagong (IIUC), where he achieved an impressive GPA of 3.95/4.0. This strong foundation set the stage for his advanced studies in Data Science and Artificial Intelligence at the Asian Institute of Technology (AIT) in Thailand, culminating in a thesis focused on sustainable agricultural decision-making through machine learning techniques.

🏒 Professional Endeavors

Sakib has transitioned seamlessly into academia as an Assistant Professor at the University of Information Technology and Sciences (UITS) in Bangladesh, where he is not only delivering lectures but also supervising student research. His acting role as the Head of the IT department reflects his commitment to aligning educational practices with current technological trends and fostering research initiatives.

πŸ§‘β€πŸ”¬ Contributions and Research Focus

Sakib’s research interests lie at the intersection of deep learning, data science, and healthcare. His work emphasizes the integration of advanced machine learning techniques to solve complex real-world problems, particularly in health informatics and environmental contexts. His thesis on sustainable agricultural decision-making showcases his dedication to creating impactful applications that improve quality of life.

πŸ“ˆ Impact and Influence

His research output is substantial, with over 377 citations and an h-index of 6, underscoring his influence in the academic community. Notable publications in high-impact journals demonstrate his expertise in areas such as the Internet of Medical Things (IoMT) and deep learning modeling techniques, contributing significantly to the fields of AI and healthcare.

πŸ“š Academic Citations

Sakib has authored several peer-reviewed articles and conference proceedings, including pivotal works in journals like Information Fusion and Artificial Intelligence Review. His growing citation count reflects the relevance and impact of his contributions to current research discussions.

πŸ› οΈ Technical Skills

Sakib possesses a robust skill set in programming languages and tools essential for data science and machine learning. Proficient in Python, C/C++, and SQL, he leverages libraries such as Pandas, NumPy, and PyTorch to develop innovative solutions. His experience in creating databases and utilizing data visualization tools like Tableau enhances his analytical capabilities.

πŸ‘©β€πŸ« Teaching Experience

With extensive teaching experience across various institutions, including his role as a Teaching Assistant at AIT and as an Instructor at the Asian University for Women, Sakib has impacted students from diverse backgrounds. He emphasizes critical thinking and problem-solving, equipping students with the skills needed for real-world challenges.

🌟 Legacy and Future Contributions

Looking ahead, Sakib aims to expand his research in AI applications within healthcare and environmental contexts. His dedication to creating sustainable solutions reflects a commitment to enhancing societal well-being. As he continues to mentor students and engage in collaborative research, his contributions are poised to leave a lasting legacy in both academia and industry.

 

πŸ“– Top Noted Publications 

VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in medical visual question answering

Authors: Aiman Lameesa, Chaklam Silpasuwanchai, Md. Sakib Bin Alam

Journal: Neurocomputing

Year: 2024

Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health

Authors: Aiman Lameesa, Mahfara Hoque, Md. Sakib Bin Alam, Shams Forruque Ahmed, Amir H Gandomi

Journal: Journal of Computational Design and Engineering

Year: 2024

Towards a secure 5G-enabled Internet of Things: A survey on requirements, privacy, security, challenges, and opportunities

Authors: Md. Sakib Bin Alam

Journal: IEEE Access

Year: 2024

Deep learning modelling techniques: current progress, applications, advantages, and challenges

Authors: Shams F. Ahmed, Md. Sakib Bin Alam, et al.

Journal: Artificial Intelligence Review

Year: 2023

Industrial Internet of Things enabled technologies, challenges, and future directions

Authors: Shams F. Ahmed, Md. Sakib Bin Alam, et al.

Journal: Computers and Electrical Engineering

Year: 2023

Bank Deposit Prediction Using Ensemble Learning

Authors: Md. Sakib Bin Alam

Journal: Artificial Intelligence Evolution

Year: 2021

Birth Mode Prediction Using Bagging Ensemble Classifier: A Case Study of Bangladesh

Authors: Md. Sakib Bin Alam

Journal: International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)

Year: 2021