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

šŸŽ“ 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.

šŸ’¼ Professional endeavors

Natashaā€™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.

šŸ§  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 assistanceā€”a critical area for researchers navigating the vast landscape of academic publications.

šŸ… 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 masterā€™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.

šŸŒ Impact and influence

Natashaā€™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 capabilitiesā€”enabling her to communicate in english, indonesian, japanese, and another languageā€”also position her as an important figure in both local and international research communities.

šŸ’» 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

Dr. Yosr Ghozzi – Deep learning – Excellence in Research

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Dr. Yosr Ghozzi - Deep learning - Excellence in Research

University of Sfax - Tunisia

AUTHOR PROFILE

SCOPUS

ORCID

EARLY ACADEMIC PURSUITS šŸŽ“

Yosr Ghozzi embarked on her academic journey with a strong focus on technological innovation and medical applications. She earned her Ph.D. from the National Engineering School of Sfax (ENIS) in 2022, which marked the beginning of her career as a teacher-researcher. Her academic background is rooted in artificial intelligence, deep learning, and medical imaging, laying the foundation for her future contributions to the field.

PROFESSIONAL ENDEAVORS šŸ„

Since 2022, Yosr has been a dedicated teacher and researcher at ISIMS/University of Sfax in Tunisia. Her work is characterized by a strong focus on artificial intelligence and its applications in medical diagnostics. Her role as a researcher has allowed her to contribute significantly to both academic and industrial projects, with a notable project being the KAFSS, which involves molecular kits and digital applications for facial prediction and dysmorphia.

CONTRIBUTIONS AND RESEARCH FOCUS šŸ”¬

Yosr's research is at the intersection of artificial intelligence and medical imaging. She has made significant strides in the use of deep learning Deep learning combined with fuzzy logic to address the challenges of content-based image retrieval (CBIR) systems. Her work in this area is particularly relevant for computer-aided diagnosis, where CBIR systems can aid in detecting abnormalities and classifying medical images based on their content and medical context.

ACCREDITATIONS AND RECOGNITION šŸ†

Yosr's contributions to research have not gone unnoticed. In 2022, she was awarded the prestigious title of Best Innovative Researcher at TICAD 8. Her research has also been published in two journals indexed by SCI and Scopus, and she has been involved in the editorial process of six Deep learning conferences, further establishing her as a recognized figure in her field.

IMPACT AND INFLUENCE šŸŒ

Yosr's research has a significant impact on the medical and technological fields, particularly in the development of advanced diagnostic tools. Her collaboration with international researchers from the University of Essex and the University of Johannesburg highlights her global influence. Her Deep learning work in AI and deep learning contributes to improving the accuracy and efficiency of medical diagnostics, potentially saving lives through early detection and intervention.

LEGACY AND FUTURE CONTRIBUTIONS šŸ”®

Yosr Ghozzi is set to leave a lasting legacy in the fields of artificial intelligence and medical imaging. Her innovative approaches to using deep learning for medical applications position her as a pioneer in her field. As she continues her research, Yosr's contributions will likely inspire future advancements in AI-driven healthcare solutions, ensuring her work's lasting impact on both academia and the medical community.

NOTABLE PUBLICATIONS

Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval 2022(13)

Competencies based curricula (Electro-Mechanical Department Case Study) 2019(1)

A beta-fuzzy-near-sets approach to research for visually similar content images 2017(3)

A novel method for resemblance images using near fuzzy set 2016(2)

Modelling and numerical simulation of thick sheet double slitting process using continuum 2014(7)

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

SCOPUSĀ Ā 

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 pendulumĀ  Ā 2024(3)

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

Efficient Multitask Reinforcement Learning Without Performance LossĀ  Ā 2023(2)

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

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