Vladimir Mariano graduated with graduated with a PhD in Computer Science and Engineering at the Pennsylvania State University, with research focus on machine learning and computer vision. He has worked on industrial projects with the National Robotics Engineering Center of Carnegie Mellon University and VideoMining Corporation in Pennsylvania, USA where he published three U.S. patents.
As an academic, Vlad has served as Director and Associate Professor of the Institute of Computer Science at the University of the Philippines Los Banos. In Vietnam, Vlad served as Lecturer and Research Coordinator of the School of Science and Technology at the Royal Melbourne Institute of Technology. While in academia, Vlad also co-founded and served as Chief Technology Officer for startup companies. These startups delivered various services including drone-based aerial surveys, video analysis of retail stores and mobile app development for human resource services.
Research
The last couple of years have seen a turning point in the relationship between man and machine, where Generative AI has started to take over human tasks that involve creativity. My research is in how AI is affecting society, what direction is the technology moving to and what the future might look like especially in Southeast Asia.
The application of AI on tiny devices (TinyML, EdgeAI) will be my main technical research interest over the next 5 years as we see smart electronic devices get more powerful microcontrollers costing a few dollars.
The use of machine learning on studying crops, such as rice, is an on-going collaboration with the International Rice Research Institute and universities in Vietnam and the Philippines.
I am also leading a team in a project that will promote US best practices in intellectual property and technology transfer in Indo-Pacific universities. It is our hope that this project will unlock a wave of innovation and economic growth by commercializing research produced by leading universities in the Indo-Pacific.
Google Scholar: https://scholar.google.com/citations?hl=en&user=yXkfzqMAAAAJ
List of Publications
1. Vladimir Mariano, “Prioritizing Education and Awareness to Achieve Cyber Resilience: Insights from Vietnam”, Tech For Good Institute, October 2023.https://techforgoodinstitute.org/blog/expert-opinion/prioritising-education-and-awareness-to-achieve-cyber-resilience-insights-from-vietnam/
2. Roselyn Gabud, Portia Lapitan, Vladimir Mariano, Eduardo Mendoza, Nelson Pampolina, Ma Art Antonette Clarino, Riza Batista-Navarro, “A Hybrid of Rule-based and Transformer-based Approaches for Relation Extraction in Biodiversity Literature”, Accepted in Pattern-based Approaches to NLP in the Age of Deep Learning (Pan-DL Workshop, co-located with EMNLP 2023, https://2023.emnlp.org ), December 6, 2023, Singapore.
3. Roselyn Gabud, Nelson Pampolina, Vladimir Mariano and Riza Batista-Navarro, “Extracting Reproductive Condition and Habitat Information from Text Using a Transformer-based Information Extraction Pipeline”, Biodiversity Information Science and Standards (TDWG, Taxonomic Databases Working Group), DOI: 10.3897/biss.7.112505.
4. Trieu Xuan Hoa, Maria Art Antonette Clarino, Vladimir Mariano, Val Randolf Madrid, Ria Borromeo, “3DKD: An Effective Knowledge Distillation-based Model for Human Fall Detection”, 2023 RIVF International Conference on Computing and Communication Technologies, Dec 23-25, 2023, Hanoi, Vietnam.
5. Nga Tran-Thi-Kim, Tuan Pham-Viet, Insoo Koo, Vladimir Y. Mariano, and Tuan Do-Hong, “Enhancing the classification accuracy of rice varieties by using convolutional neural networks”, International Journal of Electrical and Electronics Engineering and Telecommunications (IJEETC), IJEETC 2023 Vol.12(2): 150-160DOI:10.18178/ijeetc.12.2.150-160 Link:http://www.ijeetc.com/show-233-1706-1.html
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