Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung GuzmΓ‘n Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

Professional Profile

Orcid

Recommendation for Anthony Kyung GuzmΓ‘n Leguel for the Best Researcher Award

Anthony Kyung GuzmΓ‘n Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Master’s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelor’s studies at ITESO.

πŸŽ“Β Β EducationΒ 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

πŸ’ΌΒ Β ExperienceΒ 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

πŸ…Awards and HonorsΒ 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

🌍 Research Focus 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

πŸ“– Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach

Mr. Adrian Ly | Reinforcement learning | Best Researcher Award

Mr. Adrian Ly | Reinforcement learning | Best Researcher Award

Mr. Adrian Ly, Deakin University, Australia

🌐 Mr. Adrian Ly, a distinguished alumnus of Deakin University in Australia, stands as a beacon of the transformative power of education. His academic journey at Deakin not only equipped him with knowledge and skills but also ignited a passion for lifelong learning. As a Principal Data Scientist at National Australia Bank, Adrian spearheads innovation, combating scams and enhancing customer experiences globally. Leading a dynamic team, he achieved a remarkable 32% revenue boost in unsecured lending and transaction portfolios through cutting-edge machine learning models. His tenure as a Data Science Manager at Commonwealth Bank showcased his prowess in developing impactful credit risk models and managing large-scale projects. As a Consultant at NAB, Adrian applied unsupervised learning to create personalized communication strategies, contributing significantly to revenue growth. With a background in Marketing and Sales Operations, Adrian’s diverse expertise has left an indelible mark in the realms of data science and artificial intelligence. πŸš€πŸ’»

πŸŽ“Β Education :

Adrian Ly, a proud alumnus of Deakin University in Australia πŸŽ“, is a shining example of the transformative power of education. Armed with knowledge and skills acquired during his time at Deakin, Adrian has become a trailblazer in his field. πŸš€ His educational journey has not only shaped his professional success but has also instilled in him a passion for lifelong learning. πŸ“š Adrian’s connection to Deakin is not just academic; it’s a symbol of growth, resilience, and the pursuit of excellence. 🌟 As he continues to make waves in his career, Adrian carries the spirit of his alma mater with him, a testament to the impact of quality education on shaping individuals into leaders of tomorrow. 🌏

🌐 Professional Profiles :

Google Scholar

🌐 Principal Data Scientist at National Australia Bank (May 2022 – Present) πŸ“Š

  • Spearheaded innovative functions in NAB’s web and mobile apps to combat scams, enhance customer experience, and drive retail bank growth.
  • Led a global team of 6 data scientists and engineers, fostering cross-functional collaboration across different time zones.
  • Developed machine learning models resulting in a 32% revenue boost in unsecured lending and transaction portfolios.
  • Deployed cutting-edge neural networks, improving incremental revenue across 15 models by 9%.

πŸ“ˆ Data Science Manager at Commonwealth Bank of Australia (June 2021 – May 2022) 🏦

  • Produced impactful credit risk models for unsecured lending, automating quality assurance and visualization processes.
  • Led development and delivery of default models using novel algorithms.
  • Managed large-scale model development and deployment projects on greenfield systems.
  • Mentored and trained junior analysts in model development and monitoring.

πŸ“Š Consultant, Data Scientist at National Australia Bank (April 2019 – June 2021) πŸ’»

  • Applied unsupervised learning to create personalized communication strategies.
  • Delivered business lending acquisition models, driving substantial incremental revenue growth.
  • Implemented real-time and batch decisioning solutions for marketing models.
  • Rebuilt home lending machine learning models in the cloud using Pyspark and EMR.

πŸ“Š Marketing Analyst at Liberty Financial (April 2018 – March 2019) πŸ“ˆ

  • Developed predictive models to improve lead pipeline conversion.
  • Identified opportunities for new data streams.
  • Collaborated with stakeholders to understand problems and recommend analytical models.
  • Analyzed data to identify process bottlenecks and suggest improvements.

πŸ” Graduate Marketing Analyst at Aesop (Nov 2015 – Jan 2017) 🌐

  • Conducted research to outline global strategic implications of discontinuing products.
  • Provided insights into the impact of product launches and marketing campaigns on sales.
  • Assisted in developing business cases for entry into new markets.
  • Established global marketing success metrics and facilitated the implementation of a marketing dashboard.

πŸš— Graduate Sales Operations Analyst at Honda Australia (Jan 2015 – June 2015) πŸ“ˆ

  • Increased productivity by 150% through automation of data entry, weekly reports, and monthly reviews in sales operations and product teams.

🧠 Research Interests πŸ”¬πŸŒ :

🌐 Adrian Ly, a trailblazer in the realm of artificial intelligence, is fueled by a profound passion for cutting-edge technologies. His research interests encompass the dynamic trio of reinforcement learning, machine learning, and deep learning, symbolizing a commitment to unraveling the intricacies of intelligent systems. With a mind attuned to innovation, Adrian’s journey reflects a fusion of curiosity, expertise, and a relentless pursuit of excellence in the ever-evolving landscape of AI.

Publications Top NotesΒ  :

1.Β  Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks (2023)

Published in Neurocomputing, Cited by 1

2.Β  Elastic Step DDPG: Multi-step reinforcement learning for improved sample efficiency (2023)

Published in 2023 International Joint Conference on Neural Networks (IJCNN), Cited by 1