Mr. Hyston Kayange | Novel Protocols | Best Researcher Award

Mr. Hyston Kayange, Soongsil University, South Korea

Hyston Kayange is a dedicated researcher and IT professional from Malawi, currently pursuing a Master’s degree in Computer Science and Engineering at Soongsil University, South Korea. With a passion for machine learning and deep learning, Hyston specializes in designing advanced systems for personalized recommendations, particularly in health and fitness. His innovative work combines practical experience in ICT management with academic research, demonstrating a commitment to leveraging technology for impactful solutions. Hyston’s contributions to the field include publications and presentations at international conferences, establishing him as an emerging voice in deep learning applications.

Professional Profile

Google Scholar

Suitability Summary for Hyston Kayange for the Best Researcher Award

Hyston Kayange’s extensive research and contributions in the field of Machine and Deep Learning, particularly in personalized recommendation systems, position him as a strong candidate for the Best Researcher Award. His academic journey, beginning with a Bachelor’s degree in Computer Science from Daeyang University in Malawi and continuing with a Master’s at Soongsil University in South Korea, underscores his commitment to advancing his knowledge and expertise. During his studies, he has engaged in meaningful research that aims to enhance the accuracy of fitness and health-related recommendations through innovative deep learning methodologies.

Education 📚

Hyston Kayange is currently pursuing a Master of Science in Computer Science and Engineering at Soongsil University, Seoul, South Korea, since August 2022. His research focuses on personalized recommendation systems, with an emphasis on fitness applications under the guidance of Advisor Jongsun Choi. He previously earned his Bachelor’s degree from Daeyang University in Malawi (2017-2021), where he completed a significant project in computer vision aimed at facilitating communication between natural language speakers and the deaf, known as MTHANDIZI. Hyston’s educational background lays a strong foundation for his current research endeavors.

Experience 💼

Hyston Kayange brings a blend of academic and practical experience to his role. He served as an ICT Officer at United Civil Servant SACCO in Malawi from 2021 to August 2022, where he managed fintech systems, ensuring efficient operations and resolving user queries. Currently, he is an Assistant Researcher at Soongsil University, actively involved in advancing deep learning techniques for personalized recommendations. His research includes developing a method for adaptive feature selection in deep recommendation systems, aiming to enhance the accuracy of fitness recommendations and improve health outcomes through technology.

Awards and Honors 🏆

Hyston Kayange has been recognized for his contributions to the field of computer science, particularly in machine learning and personalized recommendations. His research has garnered attention at international conferences, showcasing his innovative approaches to deep learning. While specific awards may not yet be listed, his commitment to advancing technology in health and fitness through research demonstrates his potential for future accolades. As he continues his academic journey, Hyston is poised to make significant contributions to the field, which may lead to further recognition and honors.

Research Focus 🔬

Hyston Kayange’s research focuses on applying machine and deep learning techniques to develop personalized recommendation systems, particularly in health and fitness. His work emphasizes improving the accuracy of these systems through innovative methods like adaptive feature selection and hybrid modeling techniques. By leveraging deep learning frameworks, he aims to create systems that provide tailored recommendations, thereby enhancing user experience and promoting healthier lifestyles. Hyston’s research contributions are aimed at integrating advanced technology into practical applications that can significantly impact individual fitness journeys and health outcomes.

Publication Top Notes

ProAdaFS: Probabilistic and Adaptive Feature Selection in Deep Recommendation Systems
A Hybrid Approach to Modeling Heart Rate Response for Personalized Fitness Recommendations Using Wearable Data
Deep Adaptive Feature Selection in Deep Recommender Systems

Dr. Luca Brucculeri , Università degli studi di Ferrara , Italy

Dott. Luca Brucculeri, an Italian national born on September 14, 1993, is a specialist in Orthodontics based in Grotte (AG) and Caltanissetta (CL), Italy. He obtained his Liceo Scientifico Leonardo diploma in Agrigento in 2011, focusing on occlusal stability in orthodontic patients. Dr. Brucculeri furthered his education with a Master’s in Endodontics in Florence and completed courses in Straight-Wire Technique in Due Carrare. He pursued his specialization in Orthognathic Orthodontics at the University of Ferrara from 2019 to 2022, conducting research on 3D printed bracket mechanical properties. His professional experience includes practicing orthodontics at Studio Ciraolo SRL, specializing in orthopedics and functional treatments for growing patients using both fixed and removable orthodontic appliances. Dr. Brucculeri is actively involved in the field, having joined professional associations like SIDO, IBOA – Italia Board of Orthodontic Aligner, and AIDOR – Accademia Italiana di Ortodonzia.

Professional Profile:

Scopus

🎓Education:

Dott. Luca Brucculeri completed his education with a Diploma in Science from Liceo Scientifico Leonardo in Agrigento, Italy, in 2011, focusing on the thesis “Stabilità occlusale in pazienti ortodontici” (Occlusal stability in orthodontic patients). He furthered his studies at the University of Florence, earning a Master’s degree in Endodontics in 2017-2018, where he also pursued additional coursework in orthodontic techniques. Continuing his academic journey, Dott. Brucculeri specialized in Orthognathic Orthodontics at the University of Ferrara from 2019 to 2022. His specialization thesis, “IN HOUSE 3D PRINTED BRACKET From design to mechanical properties: In vitro study,” reflects his research interests and contributions to the field of orthodontics and dental technology.

🏢Work Experience:

Since 2016, Dott. Luca Brucculeri has been practicing as a Specialist in Orthodontics at Studio Ciraolo SRL, located in Grotte (AG) and Caltanissetta (CL), Italy. In this role, he specializes in orthopedic and functional treatments tailored for growing patients, utilizing a wide range of both fixed and removable orthodontic appliances. Additionally, from 2020 to 2021, he served as a Clinical Propaedeutic Tutor at the University of Ferrara, where he contributed to the education and training of future dental professionals in clinical propaedeutics.

🏆Awards and Memberships:

Dott. Luca Brucculeri is actively involved in professional associations within the field of orthodontics. He holds the status of Socio Attivo (Active Member) in SIDO (Italian Society of Orthodontics), demonstrating his commitment to advancing orthodontic practices in Italy. Additionally, he is a member of IBOA (Italia Board of Orthodontic Aligner), focusing on aligner therapies and advancements in orthodontic treatment modalities. Furthermore, Dott. Brucculeri is a Socio Effettivo (Full Member) of AIDOR (Accademia Italiana di Ortodonzia), highlighting his contributions and dedication to orthodontic education and research within the Italian academic and professional community.

Publication Top Notes:

Title: Treatment of severe Class II skeletal malocclusion in a hyperdivergent adult patient via hybrid clear aligner approach: A case report
Title: In-House 3D-Printed vs. Conventional Bracket: An In Vitro Comparative Analysis of Real and Nominal Bracket Slot Heights

Journal: Applied Sciences (Switzerland)
Title: Comparison of the accuracy of digital face scans obtained by two different scanners: An in vivo study
Title: Early class III treatment with hybrid rapid palatal expander combined with facemask