Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award | 3184

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award

Mahidol University, Thailand 

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Early Academic Pursuits 🎓

Dr. Tipajin Thaipisutikul’s academic journey began at Mahidol University, Thailand, where he earned his Bachelor of Science in Information and Communication Technology in 2010 with First Class Honours. His senior project, “VAPO,” a Voice Activated Personal Organizer, showcased his early interest in innovative technology and garnered significant attention. He continued his studies at The University of Sydney, Australia, completing a Master of Information Technology in 2012, specializing in Computer Networks. His thesis, “mSpeed,” involved crowdsourcing measurements on cellular networks, reflecting his growing expertise in data collection and analysis.

Dr. Thaipisutikul’s pursuit of excellence led him to National Central University, Taiwan, where he earned his Ph.D. in Computer Science in 2021. His doctoral research, “A Novel Deep Sequential Recommendation Model Based on Contextual Information,” explored deep learning models for recommendation systems, setting the stage for his future contributions to the field of artificial intelligence.

Professional Endeavors 🌟

Dr. Thaipisutikul has made substantial strides in academia and industry. As the Assistant Dean for Academic Services and Technology Transfer at Mahidol University’s Faculty of ICT, he has been instrumental in advancing educational programs and fostering technology transfer initiatives. His role involves instructing a variety of courses, including Advanced Programming and the Fundamentals of Programming in Python and C.

His career also includes significant teaching and research roles at Yuan Ze University in Taiwan and various faculties within Mahidol University. Dr. Thaipisutikul has provided guest lectures on cutting-edge topics such as Generative AI and Deep Learning, further establishing his reputation as a thought leader in the field.

Contributions and Research Focus 🔬

Dr. Thaipisutikul’s research focus encompasses Sequence Learning, Deep Learning, Applied Intelligence, and Recommender Systems. His work has led to several influential publications in prestigious journals, including:

  • “Automatic Detection of Nostril and Key Markers in Images” (2024) in Intelligent Systems with Applications.
  • “Forecasting National-Level Self-Harm Trends with Social Networks” (2023) in IEEE Access.
  • “Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)” (2023) in Multimedia Tools and Applications.
  • “An Improved Deep Sequential Model for Context-Aware POI Recommendation” (2023) in Multimedia Tools and Applications.

Dr. Thaipisutikul’s research integrates deep learning techniques with practical applications, significantly advancing the capabilities of recommendation systems and contextual information processing.

Accolades and Recognition 🏆

Dr. Thaipisutikul’s contributions have been recognized through numerous awards:

  • Best Paper Award at The 5th International Conference on Information Technology (2020) for “HandKey: An Efficient Hand Typing Recognition Using CNN for Virtual Keyboard.”
  • Excellent Paper Award and Best Paper Award at the International Conference on Ubi-Media Computing (2018, 2019).
  • Best Presentation Award at the 10th International Workshop on Advanced E-Learning (2017).

These accolades reflect his impact on the field and his ability to contribute innovative solutions to complex problems.

Impact and Influence 🌐

Dr. Thaipisutikul’s work has made significant impacts on both academic and practical fronts. His research has advanced the state-of-the-art in deep learning and recommendation systems, influencing how intelligent systems are developed and applied in various industries. His teaching and training initiatives, including specialized courses on Python Programming and AI, have equipped students and professionals with the skills needed to excel in a rapidly evolving technological landscape.

Legacy and Future Contributions 🌟

Looking forward, Dr. Thaipisutikul aims to further his research in sequence learning and deep learning applications, exploring new frontiers in artificial intelligence and machine learning. His ongoing projects and collaborations are expected to yield innovative solutions and contribute to the advancement of technology in diverse fields.

His legacy is marked by a commitment to academic excellence, innovation, and the application of advanced technologies to solve real-world problems. As he continues to mentor the next generation of researchers and professionals, Dr. Thaipisutikul’s influence on the field of computer science and information technology is poised to grow, shaping the future of artificial intelligence and applied intelligence.

Notable Publications 

“A collaborative filtering recommendation system with dynamic time decay”

Authors: YC Chen, L Hui, T Thaipisutikul

Journal: The Journal of Supercomputing

Volume: 77

Issue: 1

Pages: 244-262

Year: 2020

“A Learning-Based POI Recommendation With Spatiotemporal Context Awareness”

Authors: YC Chen, T Thaipisutikul, TK Shih

Journal: IEEE Transactions on Cybernetics

Volume: 46

Issue: 5

Pages: 1185-1196

Year: 2020

“Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification”

Authors: YN Chen, T Thaipisutikul, CC Han, TJ Liu, KC Fan

Journal: Remote Sensing

Volume: 13

Issue: 1

Pages: 130

Year: 2021

“DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction”

Authors: S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, …

Journal: Financial Innovation

Volume: 7

Issue: 1

Pages: 1-32

Year: 2021

“MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data”

Authors: I Jamaluddin, T Thaipisutikul, YN Chen, CH Chuang, CL Hu

Journal: Remote Sensing

Volume: 13

Issue: 24

Pages: 5042

Year: 2021

Assist Prof Dr. David Park | Innovative Leadership | Best Researcher Award

Assist Prof Dr. David Park | Innovative Leadership | Best Researcher Award

Stanford University, United States

🔗 Profile

Orcid 

Early Academic Pursuits 📚

Dr. David Jaehyun Park began his academic journey with a medical degree from the Catholic University of Korea, College of Medicine, Seoul, South Korea, earned between March 3, 2003, and February 27, 2009. This foundational training was followed by a Ph.D. in Neuroscience (Neurosurgery) from the same institution, completed from September 1, 2011, to August 14, 2015. During his residency at Seoul St. Mary’s Hospital and various fellowships, Dr. Park developed a strong foundation in neurosurgery and oncology, honing his skills and knowledge in both clinical and research settings. His early academic endeavors laid the groundwork for a distinguished career in neurosurgery and medical research.

Professional Endeavors 🏥

Dr. Park’s career has been marked by a diverse array of professional roles and clinical appointments. After completing his internship and residency at Seoul St. Mary’s Hospital, he undertook several prestigious fellowships, including positions at Brigham and Women’s Hospital and the National Neuroscience Institute in Singapore. His commitment to advancing the field continued with postdoctoral research at Massachusetts General Hospital and various clinical fellowships at renowned institutions such as North Shore University Hospital and Cleveland Clinic. As of July 2024, Dr. Park serves as a Clinical Assistant Professor at both Stanford University School of Medicine and Palo Alto VA Medical Center, reflecting his dedication to teaching and clinical excellence.

Contributions and Research Focus 🔬

Dr. Park’s research has significantly advanced the field of neurosurgery, particularly in the areas of skull base surgery and neurosurgical oncology. His innovative work includes the development of intraoperative cancer detection devices, with both provisional and non-provisional patents granted for his contributions. His focus on integrating advanced technologies and improving surgical techniques has contributed to better outcomes for patients with brain tumors. Dr. Park’s involvement in specialized training courses, such as the 2nd Rhoton Society Meeting and AI+ Health 2022, underscores his commitment to staying at the forefront of medical and technological advancements.

Accolades and Recognition 🏆

Dr. Park’s exceptional contributions have earned him numerous accolades throughout his career. He has received prestigious awards such as the Achievement Award from the Korean Medical Association and multiple Outstanding Resident Awards from various hospitals. His recognition extends to significant achievements in academic and innovation circles, including being a semi-finalist in the 2018 MIT Sloan Healthcare Innovation Prize and the MIT $100K Entrepreneurship Competition. These honors reflect his dedication to excellence in both clinical practice and research.

Impact and Influence 🌟

Dr. Park’s impact extends beyond his immediate field, influencing both his peers and the broader medical community. His role as a mentor to numerous students, residents, and research fellows highlights his dedication to nurturing the next generation of medical professionals. Through his clinical and research work, Dr. Park has contributed to significant advancements in neurosurgery and has played a crucial role in shaping the future of medical innovation. His leadership in various capacities, including as the founder and CEO of ORFACTORY, Inc., demonstrates his entrepreneurial spirit and commitment to translating research into practical solutions.

Legacy and Future Contributions 🚀

As Dr. Park continues his work at Stanford University and the Palo Alto VA Medical Center, his legacy is defined by his relentless pursuit of excellence and innovation in neurosurgery. His future contributions are poised to further impact the field through ongoing research and development, particularly in enhancing surgical techniques and patient outcomes. Dr. Park’s dedication to mentoring and education ensures that his influence will extend through the work of his trainees and collaborators. His ongoing research and clinical practice promise to continue shaping the future of neurosurgery and medical technology, cementing his legacy as a leading figure in his field.

📚 Publications

Dosimetric Comparison of Dedicated Radiosurgery Platforms for the Treatment of Essential Tremor: Technical Report

  • Authors: Neelan J Marianayagam, Ian Paddick, Amit R Persad, Yusuke S Hori, Alexander Maslowski, Ishwarya Thirunarayanan, Arjun R Khanna, David J Park, Vivek Buch, Steven D Chang, et al.
  • Journal: Cureus
  • Year: 2024

The Promise of Tumor Mutation Burden and Microenvironment as Biomarkers in Glioma Treatment

  • Authors: Park J David, Chang D Steven
  • Journal: Journal of Biomedical Research & Environmental Sciences
  • Volume: 5
  • Issue: 3
  • Pages: 1923
  • Year: 2024
  • DOI: 10.37871/jbres1923

Automatic Segmentation of Vestibular Schwannomas: A Systematic Review

  • Authors: Kerem Nernekli, Amit R Persad, Yusuke S Hori, Ulas Yener, Emrah Celtikci, Mustafa Caglar Sahin, Alperen Sozer, Batuhan Sozer, David J Park, Steven D Chang
  • Journal: World Neurosurgery
  • Year: 2024

Stereotactic Radiosurgery for Facial Nerve Hemangioma: Case Report and Systematic Review

  • Authors: David J Park, Yusuke S Hori, Kerem Nernekli, Amit R Persad, Armine Tayag, Louisa Ustrzynski, Sara C Emrich, Steven L Hancock, Steven D Chang
  • Journal: Journal of Clinical Neuroscience
  • Year: 2024

Stereotactic Radiosurgery for Residual, Recurrent, and Metastatic Hemangiopericytomas: A Single-Institution Retrospective Experience

  • Authors: Kelly H Yoo, David J Park, Anand Veeravagu, Amit Persad, Marco Lee, Neelan J Marianayagam, Aroosa Zamarud, Xuejun Gu, Erqi L Pollom, Scott G Soltys, et al.
  • Journal: Neurosurgery
  • Year: 2024

Mrs. Juliana Borsoi Chicon | Innovative Leadership | Best Researcher Award

Mrs. Juliana Borsoi Chicon, Innovative Leadership, Best Researcher Award

São Leopoldo Mandic, Brazil

🔗 Profile

Orcid 

Early Academic Pursuits 🎓

Yi Yan’s academic journey began with a deep interest in the energy sector and its optimization. He pursued his PhD, focusing on integrated energy systems and their marketization. His early academic years were marked by a strong commitment to understanding the complexities of energy distribution and storage. This foundational knowledge set the stage for his future research endeavors and professional achievements. As a dedicated student, Yi Yan demonstrated exceptional analytical skills and a keen ability to translate theoretical concepts into practical applications.

Professional Endeavors 👩‍🏫

Currently serving as a Master Supervisor at Shandong Jianzhu University, Yi Yan has established himself as a prominent figure in the field of energy optimization. His professional career is distinguished by his involvement in various high-impact projects and his role as an educator. He has presided over and participated in four projects funded by the National Natural Science Foundation of China and undertaken three scientific and technological projects with National Grid. His contributions extend beyond academia, influencing both industry practices and energy policies.

Yi Yan’s role as a teacher at Shandong Institute of Business and Industry further underscores his commitment to nurturing the next generation of engineers and researchers. His teaching methodology integrates practical insights from his research, providing students with a holistic understanding of the energy sector. His dedication to education and mentorship has made a significant impact on his students, many of whom have gone on to pursue successful careers in energy optimization and related fields.

Contributions and Research Focus 🔍

Yi Yan’s primary research area centers on the marketization of distributed integrated energy systems and their operational optimization. His innovative work in this field has led to the development of a market participation method for multilayer community integrated energy systems. This method, based on a multilayer game model, considers multiple types of energy subjects in independent source-load-storage-station configurations. His research addresses the bottleneck of independent market participation for energy storage subjects, emphasizing fairness in market-based energy systems.

His research has resulted in the publication of seventeen SCI and EI papers over the past five years, highlighting his prolific contribution to the field. His notable papers include works on multi-layer game theory-based operation optimization of Integrated Community Energy Systems (ICES), which have been published in prestigious journals such as Applied Energy, Energy, and Energy and Building. These publications not only advance academic knowledge but also offer practical solutions for improving energy system market participation and optimization.

Accolades and Recognition 🏆

Yi Yan’s expertise and contributions have not gone unnoticed. He has been authorized more than ten national invention patents, underscoring his innovative approach to solving complex energy challenges. His role as an expert for the National Natural Science Foundation of China and as a reviewer for top domestic and international journals further cements his standing in the academic and professional community.

Yi Yan’s work has also been recognized through various awards and honors. His significant contributions to energy optimization and marketization have earned him a reputation as a leading researcher in his field. His ability to bridge the gap between theoretical research and practical application has been particularly lauded, making him a sought-after consultant and collaborator for industry projects.

Impact and Influence 🌍

Yi Yan’s research has had a profound impact on the energy sector, particularly in the areas of integrated community energy systems and game theory-based optimization. His work has provided new insights into the market dynamics of energy systems, paving the way for more equitable and efficient energy distribution methods. His contributions have not only advanced academic research but have also influenced industry practices, leading to more sustainable and optimized energy systems.

His role as a mentor and educator has also had a significant influence on the next generation of researchers and professionals. By incorporating his research findings into his teaching, Yi Yan has equipped his students with the knowledge and skills needed to tackle future energy challenges. His commitment to education and research has inspired many of his students to pursue careers in energy optimization, further extending his impact on the field.

Legacy and Future Contributions ✨

Looking ahead, Yi Yan aims to continue his pioneering work in energy system optimization and marketization. His future research will likely delve deeper into the integration of renewable energy sources and advanced optimization algorithms, contributing to the development of more sustainable and resilient energy systems. His ongoing projects and collaborations promise to yield innovative solutions that will address emerging challenges in the energy sector.

Yi Yan’s legacy will be characterized by his dedication to advancing knowledge, his innovative research contributions, and his commitment to education. His work has set a high standard for future researchers and has laid a strong foundation for continued advancements in energy optimization. As he continues to push the boundaries of what is possible in this field, Yi Yan’s influence will undoubtedly shape the future of energy systems for years to come.

📚 Publications

Influence of the brushing motions on the dynamic cyclic fatigue resistance of the Reciproc Blue instrument: In vitro study.

  • Authors: Chicon JB, Fernandes Pavão VM, Gonçalves Cunha MH, Frozoni M
  • Journal: Journal of Endodontics
  • Year: 2024