Mrs. Natasha Christabelle Santosa – Artificial Intelligence – Best Researcher Award

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Mrs. Natasha Christabelle Santosa - Artificial Intelligence - Best Researcher Award

Tokyo Institute of Technology - Japan

Author Profile

ORCID

🎓 Early academic pursuits

Natasha Christabelle Santosa's journey into the world of artificial intelligence (ai) began with a bachelor's degree in computer science from gadjah mada university (ugm), where she graduated with honors and a strong gpa of 3.64/4.00. her undergraduate thesis on adaptive neuro-fuzzy inference systems showcased her early interest in applying computational methods to healthcare, specifically for breast cancer diagnosis. during her time at ugm, natasha was an active member of the university's student association and was involved in organizing events, contributing to the university's nokia innovation center game development team, and volunteering as a teacher at an elementary school. this combination of academic excellence and extracurricular engagement laid the foundation for her future success.

💼 Professional endeavors

Natasha’s professional experience is a testament to her drive and dedication to advancing ai. she has worked as a research assistant at the prestigious tokyo institute of technology, investigating dynamic ontology in scientific paper recommendations. prior to this, she also served at the advanced institute of science and technology (aist), where her focus was on leveraging graph neural networks for end-to-end scientific paper recommendation. these positions allowed natasha to apply her skills in real-world scenarios, positioning her as a key player in the ai research community.

🧠 Contributions and research focus

Natasha's primary research focus has been the development of ai systems for scientific paper recommendations, aiming to assist researchers in finding relevant academic papers with the use of dynamic ontology and neural networks. her innovative approaches, such as the employment of graph neural networks, have led to advancements in recommendation systems. her doctoral thesis at tokyo tech explores these themes further, Artificial Intelligence with a special focus on paper writing assistance—a critical area for researchers navigating the vast landscape of academic publications.

🏅 Accolades and recognition

throughout her academic career, natasha has consistently achieved top-tier results, maintaining a gpa of 93% in her ongoing phd program and 82% during her master’s studies at tokyo tech. her achievements reflect not only her deep understanding of ai but also her ability to apply Artificial Intelligence complex models to solve practical problems. her work has led to paper presentations at esteemed conferences, highlighting her as a thought leader in the field of ai-based recommendation systems.

🌍 Impact and influence

Natasha’s work is contributing to the evolution of scientific research methodologies, particularly through her ai models designed to recommend relevant papers to researchers. by enhancing the efficiency of paper writing and research discovery processes, she is helping academics across Artificial Intelligence the globe save time and find valuable resources more easily. her quadrilingual capabilities—enabling her to communicate in english, indonesian, japanese, and another language—also position her as an important figure in both local and international research communities.

💻 Legacy and future contributions

Natasha is not only focused on current research but is also driven by the potential her innovations hold for the future. her work on dynamic ontology and ai-driven scientific recommendations is poised to influence the next generation of ai researchers, as well as academics who rely on more streamlined access to critical information. as she nears the completion of her phd, natasha looks forward to furthering her research in hybrid or remote work environments, particularly in tokyo, where she aims to continue contributing to ai advancements on a global scale.

Notable Publications

S3PaR: Section-based Sequential Scientific Paper Recommendation for paper writing assistance 2024

Automating Computer Science Ontology Extension With Classification Techniques 2021

Assist Prof Dr. Surachate Kalasin –  Artificial intelligence and machine learning – Excellence in Scientific Innovation Award

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Assist Prof Dr. Surachate Kalasin -  Artificial intelligence and machine learning - Excellence in Scientific Innovation Award

King Mongkut's University of Thonburi - Thailand

Author profile

SCOPUS

🌱 Early academic pursuits

Surachate Kalasin embarked on his academic journey with a strong foundation in physics and applied mathematics at worcester polytechnic institute, massachusetts, where he earned dual bachelor of science degrees with honors. his passion for interdisciplinary studies led him to further his education at the university of massachusetts amherst, where he pursued dual master’s degrees in physics and electrical and computer engineering. his academic excellence and curiosity culminated in a doctorate in chemical physics from the same institution, where he developed a deep expertise in polymer science.

🧑‍🔬 Professional endeavors

following his doctoral studies, dr. kalasin advanced his research career as a postdoctoral fellow in the department of polymer science and engineering at the university of massachusetts amherst. his work during this period focused on cutting-edge research in surface analysis, polymer rheology, and the development of specialty polymers for sensing and adhesion. his multidisciplinary approach bridged the fields of physics, chemistry, and engineering, positioning him as a leading figure in the development of innovative materials and technologies.

🔬 Contributions and research focus

dr. kalasin has made significant contributions to the field of material science, particularly in the areas of polymer chemistry and surface Artificial intelligence and machine learning technology. his research includes the creation of biomimetic surfaces that replicate the complex landscapes of biological cells, with applications in biomedicine and biomaterials. he has also designed biocompatible polymer surfaces for antimicrobial devices, advancing the field of biomedical engineering. his expertise in modeling molecular interactions at the nanoscale has been pivotal in the development of new materials for coating, cleaning, and microfluidic applications.

🏅 Accolades and recognition

throughout his career, dr. kalasin has been recognized for his innovative contributions to material science and engineering. his work has led to the development of intellectual property assets, reflecting his ability to translate research into practical, impactful technologies. his Artificial intelligence and machine learning interdisciplinary research approach has earned him accolades from academic and industrial communities, solidifying his reputation as a leader in his field.

🌍 Impact and influence

dr. kalasin’s work has had a profound impact on both the scientific community and industry. his innovations in polymer science and surface Artificial intelligence and machine learning technology have paved the way for new applications in healthcare, particularly in the development of antimicrobial devices and biomaterials. his research has also influenced the field of environmental engineering, where his work on fluid mechanics and surface technology has contributed to more efficient and sustainable solutions.

🏛️ Legacy and future contributions

as dr. kalasin continues his research, his legacy in the field of material science is marked by his commitment to interdisciplinary innovation and practical applications. his future work is expected to further bridge the gap between scientific research and real-world solutions, particularly in the development of new materials and technologies that address global challenges. his ongoing contributions will undoubtedly continue to shape the future of material science and engineering.

Notable  Publications 

Mesoporous Silica Nanoparticles-Enhanced Microarray Technology for Highly 2024(3)

Multiplex Wearable Electrochemical Sensors Fabricated from Sodiated Polymers 2023(6)

Challenges of Emerging Wearable Sensors for Remote Monitoring toward Telemedicine 2023(26)

Highly sensitive and selective antibody microarrays based on a Cy5-antibody complexes 2022(4)

Intelligent Wearable Sensors Interconnected with Advanced Wound Dressing Bandages 2022(29)

Dr. Jongchan Baek – Robotics – Best Researcher Award

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Dr. Jongchan Baek - Robotics - Best Researcher Award

Electronics and Telecommunications Research Institute (ETRI) - South Korea

Professional Profile

SCOPUS  

Early Academic Pursuits

Dr. Jongchan Baek's academic journey commenced at Sungkyunkwan University, where he pursued a Bachelor of Science in Mathematics, graduating with an outstanding GPA of 4.14 out of 4.5. This early academic foundation laid the groundwork for his subsequent pursuit of knowledge in the field of Convergence IT Engineering at Pohang University of Science and Technology (POSTECH), where he earned his Ph.D. His doctoral thesis, supervised by Professor Soohee Han, focused on "Performance-Preserving Sequential Multitask Reinforcement Learning and Its Application to Control Systems," showcasing his early interest in reinforcement learning and control applications.

Professional Endeavors

Dr. Baek's professional journey as an AI researcher at the Electronics and Telecommunications Research Institute (ETRI) in South Korea has been characterized by a profound commitment to advancing the fields of reinforcement learning, embedded applications, robotic control, Robotics and anomaly detection. His involvement in diverse projects, such as the development of advanced air-mobility platforms, DNA+Drone platforms, and drone control technologies, underscores his expertise in applying AI techniques to real-world applications.

Contributions and Research Focus

Throughout his career, Dr. Baek has made significant contributions to the field of AI and robotics through his research endeavors. His publications in reputable journals and conferences demonstrate his expertise in areas such as reinforcement learning for control systems, bridging the simulation-to-real gap, electrochemical-mechanical modeling, and continual learning methods. His research focus on reinforcement learning control algorithms, Robotics particularly in the context of embedded applications and robotic control, has contributed to advancements in autonomous systems and anomaly detection techniques.

Accolades and Recognition

Dr. Baek's outstanding contributions to the field have been recognized through numerous awards and honors. Notable accolades include the 2nd Prize in the NeurIPS 2022 Real Robot Challenge, Best Paper Awards at prestigious conferences like KIEE and ICROS, and recognition for his contributions to various research projects funded by government agencies and industry partners. These accolades underscore his exceptional research acumen and the impact of his work within the scientific community.

Impact and Influence

Dr. Baek's research has had a profound impact on both academia and industry, driving advancements in autonomous systems, robotic control, and anomaly detection technologies. His innovative approaches to reinforcement learning control and embedded applications have contributed to the development of more efficient and adaptive systems capable of Robotics addressing real-world challenges. His collaborations with industry partners and involvement in major projects reflect the practical significance of his research in shaping the future of AI-enabled technologies.

Legacy and Future Contributions

As Dr. Baek continues to pursue his research endeavors, his legacy as an AI researcher committed to advancing the frontiers of knowledge in reinforcement learning, embedded applications, and robotic control is assured. His future contributions are poised to further propel the field forward, with a focus on developing more robust and scalable AI solutions for complex real-world applications. Dr. Baek's dedication to excellence and his passion for pushing the boundaries of AI technology ensure that his impact will be felt for years to come.

NOTABLE PUBLICATIONS

Reinforcement learning to achieve real-time control of triple inverted pendulum   2024(3)

Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback  2023(1)

Efficient Multitask Reinforcement Learning Without Performance Loss   2023(2)

An Adaptive Model Uncertainty Estimator Using Delayed State-Based Model-Free Control   2022(12)

Hindsight Intermediate Targets for Mapless Navigation With Deep Reinforcement Learning  2022(4)