Weiguo Cao | medical image processing | Best Innovation Award

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

Mayo Clinic | United States

Publication Profile

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👨‍💻 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.”

đź’Ľ 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.

đź’» 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

Zuleika Suliman | Artificial Intelligence | Best Researcher Award

Ms. Zuleika Suliman | Artificial Intelligence | Best Researcher Award

University of South Africa | South Africa

BIOGRAPHY OF MS. ZULEIKA SULIMAN 📚👩‍🏫

INTRODUCTION

Ms. Zuleika Suliman is a dynamic and passionate educator, deeply committed to enhancing the learning experience through innovative teaching strategies, student-centered approaches, and cutting-edge technology. She holds an MA in English Studies from the University of South Africa (UNISA), where she also completed a wide array of specialized training programs. Ms. Suliman’s career in academia spans over a decade, marked by her significant contributions to teaching, research, and student mentorship in the fields of English studies, education, and e-learning.

EARLY ACADEMIC PURSUITS 🎓

Ms. Suliman’s academic journey began at the University of Pretoria, where she earned her Bachelor’s Degree in English Studies, specializing in Arabic, Journalism, TESOL, and Language Editing. Building on her academic foundation, she later pursued her Honours Degree in English Literature and Language at the University of South Africa (UNISA), culminating in her current studies for a Master’s Degree in English Studies, which she is set to complete in 2025. Her early years were marked by a fervent passion for education, as she excelled in mathematics, science, Arabic, and language arts during her school years at Pretoria Muslim School.

PROFESSIONAL ENDEAVORS 🏫

Ms. Suliman’s professional career includes her current role as a Junior Lecturer at UNISA, where she not only teaches various English courses but also leads several significant academic projects, including an AI research initiative with publications. She has a proven track record of success, managing large groups of students—over 5000 students for first-year courses and 600 for postgraduate modules. Her role as a mentor, editor of departmental newspapers, and active member of various academic committees showcases her dedication to the academic community.

Ms. Suliman has a vast experience with the development of curriculum materials, tutorials, assessments, and online resources for her students. Her efforts extend beyond traditional teaching to creating dynamic, virtual learning environments using tools like Microsoft Teams, Moodle, podcasts, and other digital resources.

CONTRIBUTIONS AND RESEARCH FOCUS ON  ARTIFICIAL INTELLIGENCE🔬

Her research focuses on exploring innovative e-learning strategies to improve workplace English competence, specifically within Open Distance and eLearning (ODeL) environments in South Africa. As she continues her PhD in Applied English Language Studies, her research aims to influence the way online education is delivered, providing valuable insights into student engagement, experience, and learning outcomes in digital learning platforms.

Her contributions to education include mentoring research projects, supporting student academic progress, and reviewing journal articles. She has been instrumental in shaping programs that improve student retention and success in online learning contexts.

IMPACT AND INFLUENCE 🌍

Ms. Suliman’s student-centered approach and focus on leveraging e-learning technologies have significantly impacted her students’ educational journeys. Through her development of online content, tutorials, livestream sessions, and the creation of interactive learning experiences, she has enhanced student engagement, knowledge retention, and overall academic success. She promotes collaboration, teamwork, and open communication, both with her students and peers.

Her mentorship extends to various projects, including the Can Themba Festival and a student support initiative, where she has worked tirelessly to promote student well-being, academic excellence, and career development.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Ms. Suliman has contributed to the academic community with numerous research papers and publications. Her research on the integration of AI in education and its impact on student performance has been well-received in both academic circles and professional networks. She continues to collaborate with colleagues to publish findings and present at academic conferences, focusing on the advancement of educational methodologies in the 21st century.

HONORS & AWARDS 🏆

Ms. Suliman’s achievements have not gone unnoticed. She has received several accolades throughout her career, including:

  • Scholarship Program at the University of Pretoria for the BSc undergraduate course “Up with Science” Program.
  • Mont Blanc Award for Writing – Explorer Program in Literature.
  • Sunday Times Rising Star Achievement – Youth Development.
  • Graduate of the Mentorship Program at UNISA.

Her passion and dedication to her work have earned her recognition within both the academic and professional realms.

FINAL NOTE 📝

As a trailblazer in the field of education, Ms. Zuleika Suliman continues to inspire and impact the lives of countless students. Her journey, from a young learner to an accomplished academic, reflects her unwavering commitment to education. Through her innovative teaching methods, research, and mentoring, she is shaping the future of education in South Africa and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Looking ahead, Ms. Suliman is determined to leave a lasting legacy in the field of education by further enhancing online learning strategies, improving digital literacy, and fostering a global academic community that is both inclusive and engaging. Her future contributions will continue to focus on research in applied English language studies, the integration of technology in education, and the development of future generations of learners and educators.

TOP NOTES PUBLICATIONS 📚

Advancing students’ academic excellence in distance education: Exploring the potential of generative AI integration to improve academic writing skills
    • Authors: KB Maphoto, K Sevnarayan, NE Mohale, Z Suliman, TJ Ntsopi
    • Journal: Open Praxis
    • Year: 2024
Continuing professional development (CPD): a necessary component in the workplace or not?
    • Authors: Z Suliman, W Kruger, JA Pienaar
    • Journal: The Journal of Medical Laboratory Science and Technology of South Africa
    • Year: 2020
The interconnectedness between Ubuntu principles and generative artificial intelligence in distance higher education institutions
    • Authors: Z Suliman, NE Mohale, KB Maphoto, K Sevnarayan
    • Journal: Discover Education
    • Year: 2024
Exploring the Impact of E-Learning Strategies on Enhancing Workplace English Competence at an Open Distance E-Learning (ODeL) University in South Africa
    • Authors: KB Maphoto, Z Suliman
    • Journal: Research in Social Sciences and Technology
    • Year: 2024
Artificial intelligence or augmented intelligence? Experiences of lecturers and students in an ODeL university
    • Authors: NE Mohale, Z Suliman, K Maphoto, K Sevnarayan, D Mokoena, TJ Ntsopi
    • Journal: Acitya: Journal of Teaching and Education
    • Year: 2024
The Nexus of Business English and the Fourth Industrial Revolution: Leveraging Moodle’s Potential to Augment Lecturers’ Pedagogies for Student Support
    • Authors: K Sevnarayan, Z Suliman
    • Journal: Scrutiny2
    • Year: 2024

Shiming Li | Algorithm Development | Best Researcher Award

Dr. Shiming Li l Algorithm Development | Best Researcher Award

North China University of Water Resources and Electric Power, China

Author Profile

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🎓 Early Academic Pursuits

Dr. Shiming Li began his academic journey with a strong foundation in Surveying and Mapping Science and Technology. He earned his Ph.D. in 2021 from Southwest Jiaotong University, Chengdu, China, where his research laid the groundwork for innovations in geospatial data integration and 3D modeling. His early interest in integrating diverse data sources shaped his career trajectory, leading to groundbreaking studies in multi-type point cloud data fusion.

đź’Ľ Professional Endeavors

Currently, Dr. Li serves as a Lecturer and Master Tutor at the College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, China. In this capacity, he mentors aspiring professionals and collaborates on projects aimed at enhancing urban and water environment monitoring using advanced geoinformatics tools.

🌍 Contributions and Research Focus

Dr. Li’s research revolves around the fusion of multi-type point cloud data obtained from drones, vehicles, backpacks, and handheld devices. His work addresses critical challenges in three-dimensional reconstruction of complex structures and intelligent scene recognition. By leveraging cutting-edge techniques, he has contributed to monitoring urban and aquatic environments, enabling more efficient and accurate spatial analysis.

🌟 Impact and Influence

Dr. Li’s innovative research has advanced the field of surveying and mapping, particularly in urban planning and environmental monitoring. His studies have practical applications in designing sustainable infrastructure and improving disaster management strategies. His influence extends beyond academia, benefiting industries focused on spatial data and urban development.

📚 Academic Contributions

Dr. Li has authored and contributed to several peer-reviewed articles and conference papers, earning citations in prominent journals. His work is widely recognized for its technical rigor and relevance, making significant strides in geoinformatics research.

🛠️ Technical Skills

Dr. Li is proficient in cutting-edge geospatial technologies and software for data integration and analysis, including GIS tools, point cloud processing platforms, and 3D modeling frameworks. His technical expertise supports his research in creating precise and scalable solutions for complex spatial challenges.

🧑‍🏫 Teaching Experience

As a lecturer, Dr. Li is dedicated to shaping the next generation of geoinformatics professionals. He combines theory with practical applications in his teaching, inspiring students to explore innovative solutions in surveying and mapping. His mentorship extends to graduate students, helping them tackle advanced research problems.

🚀 Legacy and Future Contributions

Dr. Shiming Li is poised to leave a lasting legacy in the field of surveying and geoinformatics. His future endeavors aim to further enhance the integration of multi-source spatial data for intelligent scene recognition and complex structural reconstruction. By continuing to push the boundaries of geospatial research, he is set to contribute to the sustainable development of urban and water environments globally.

đź“– Top Noted Publications

Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images
    • Authors: Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2025
Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement
    • Authors: Shiming Li, Fengtao Yan, Kaifeng Ma, Qingfeng Hu, Feng Wang, Wenkai Liu
    • Journal: Remote Sensing
    • Year: 2024
Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
    • Authors: Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming Li
    • Journal: Sensors
    • Year: 2024
OFFS-Net: Optimal Feature Fusion-Based Spectral Information Network for Airborne Point Cloud Classification
    • Authors: Peipei He, Kejia Gao, Wenkai Liu, Wei Song, Qingfeng Hu, Xingxing Cheng, Shiming Li
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Year: 2023
Spatiotemporal Information Mining for Emergency Response of Urban Flood Based on Social Media and Remote Sensing Data
    • Authors: Hui Zhang, Hao Jia, Wenkai Liu, Junhao Wang, Dehe Xu, Shiming Li, Xianlin Liu
    • Journal: Remote Sensing
    • Year: 2023
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South–North Water-Diversion Project
    • Authors: Qingfeng Hu, Yingchao Kou, Jinping Liu, Wenkai Liu, Jiuyuan Yang, Shiming Li, Peipei He, Xianlin Liu, Kaifeng Ma, Yifan Li, et al.
    • Journal: Remote Sensing
    • Year: 2023
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction
    • Authors: Li Shiming, Tingrui Bao, Hui Liu, Rongxin Deng, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2023

Lucia Grumetto | Predictive Analytics | Best Researcher Award

Prof. Lucia Grumetto | Predictive Analytics | Best Researcher Award

UniversitĂ  di napoli Dipartimento di Farmacia, Italy

👨‍🎓 Author Profiles

🎓 Academic Foundations and Professional Development

Prof. Lucia Grumetto’s academic path began at the University of Naples Federico II, where she completed dual degrees in Pharmacy and Biological Sciences. Over her extensive career, she gained considerable experience as a Researcher, later advancing to Associate Professor in the same institution. Her qualifications are further reinforced by a Master’s Degree in Food Law (2014), underscoring her ability to integrate scientific knowledge with legal and regulatory expertise, particularly in food safety.

đź’Ľ Professional Endeavors and Expertise

Throughout her career, Prof. Grumetto has contributed significantly to both pharmaceutical research and education. Her professional journey spans multiple roles, including Researcher, Professor, and Consultant in the areas of toxicology, pharmacokinetics, and environmental health. She has been actively involved in key research initiatives aimed at understanding the behavior of endocrine disruptors in biological systems, including the human blood-brain barrier and ocular barriers. Her research projects on sustainable drug formulations and environmental monitoring are crucial in addressing both public health and ecological concerns.

🔬 Research Focus and Scientific Contributions

Prof. Grumetto’s research has a broad scope, ranging from drug development to environmental health. She has led investigations into the pharmacokinetics of pharmaceutical compounds, focusing on their absorption, distribution, and metabolism in different biological systems. Her work on the interaction of endocrine disruptors in food and environmental matrices has positioned her as a leading expert in toxicology. Notable projects include the study of pharmaceutical permeation through biological membranes and the development of novel drug delivery systems targeting cancer therapies. Her contributions have been widely recognized through numerous publications, awards, and collaborations with international research networks.

🌍 Impact on Academia and Scientific Communities

Prof. Grumetto has profoundly impacted the scientific community through her research, teaching, and publications. With over 80 peer-reviewed papers and presentations at global conferences, she has shared her expertise in pharmacokinetics, endocrine toxicology, and drug testing. Her work on endocrine disruptors has not only influenced academic research but also shaped policies on environmental safety and public health. Her Most Cited Paper Award from the European Journal of Pharmaceutical Sciences and the Best Poster Award at various symposia are testaments to her influence. Additionally, she serves on the Editorial Boards of several high-impact journals, further contributing to the academic world.

👩‍🏫 Teaching and Pedagogical Innovations

Prof. Grumetto is deeply committed to education, having taught various specialized courses at the University of Naples Federico II. Her courses, such as Quality Control and Food Safety Regulations and Xenobiotic Analysis, are integral parts of the curricula for students pursuing degrees in Nutraceutical Sciences and Pharmaceutical Sciences. Beyond her classroom responsibilities, she has taken on leadership roles in shaping internship programs and curricular development, ensuring students gain hands-on experience and the necessary skills to succeed in their professional careers.

đź”§ Technical Expertise and Analytical Innovations

One of Prof. Grumetto’s strengths lies in her technical expertise, particularly in the field of analytical chemistry. Her pioneering work with HPLC, mass spectrometry, and immobilized artificial membranes (IAM) has significantly advanced pharmacokinetic research. She has developed innovative methodologies for studying drug interactions and their bioavailability, especially for substances that cross biological barriers like the blood-brain barrier. These techniques are essential for understanding drug absorption and improving drug delivery systems.

🏆 Recognition, Awards, and Achievements

Prof. Grumetto’s contributions have been recognized with numerous awards and honors. In addition to her Best Poster Awards at international conferences, she received the Most Cited Paper Award from the European Journal of Pharmaceutical Sciences. She holds several patents, including one for a dermatological patch test device to identify allergic reactions to medications. Her innovations have extended beyond the academic realm, influencing practical applications in medicine, environmental monitoring, and sustainability.

🚀 Future Contributions and Vision

Looking ahead, Prof. Grumetto continues to push boundaries in both pharmaceutical research and sustainability. Her current projects, such as FRUIPAD, aim to create biodegradable food packaging from fruit by-products, highlighting her commitment to both environmental sustainability and public health. Her ongoing studies in endocrine disruptors and drug delivery systems hold the potential to influence future healthcare strategies, particularly in personalized medicine and targeted therapies. As she continues to lead innovative projects and collaborate internationally, her future contributions will likely reshape the way pharmaceuticals and environmental health issues are addressed globally.

đź“– Top Noted Publications

 The combined use of biological investigations, bio chromatographic and in silico methods to solve the puzzle of badge and its derivative’s toxicity
  • Authors: Ilaria Neri, Marialuisa Piccolo, Giacomo Russo, Maria Grazia Ferraro, Vincenzo Marotta, Rita Santamaria, Lucia Grumetto
    Journal: Chemosphere
    Year: 2024
Phenylalanine Butyramide: A Butyrate Derivative as a Novel Inhibitor of Tyrosinase
  • Authors: Ritamaria Di Lorenzo, Vincenzo Di Lorenzo, Teresa Di Serio, Adua Marzocchi, Lucia Ricci, Eleonora Vardaro, Giovanni Greco, Maria Maisto, Lucia Grumetto, Vincenzo Piccolo et al.
    Journal: International Journal of Molecular Sciences
    Year: 2024
Investigating the Effect of Surface Hydrophilicity on the Destiny of PLGA-Poloxamer Nanoparticles in an In Vivo Animal Model
  • Authors: Teresa Silvestri, Lucia Grumetto, Ilaria Neri, Maria De Falco, Sossio Fabio Graziano, Sara Damiano, Daniela Giaquinto, Lucianna Maruccio, Paolo de Girolamo, Fabrizio Villapiano et al.
    Journal: International Journal of Molecular Sciences
    Year: 2023
Dermocosmetic evaluation of a nutricosmetic formulation based on Curcuma
  • Authors: Ritamaria Di Lorenzo, Lucia Grumetto, Antonia Sacchi, Sonia Laneri, Irene Dini
    Journal: Phytotherapy Research
    Year: 2023
Validation of an LC-MS/MS Method for the Determination of Abscisic Acid Concentration in a Real-World Setting
  • Authors: Elisabetta Schiano, Ilaria Neri, Maria Maisto, Ettore Novellino, Fortuna Iannuzzo, Vincenzo Piccolo, Vincenzo Summa, Lucia Grumetto, Gian Carlo Tenore
    Journal: Foods
    Year: 2023