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This year marks the 30th anniversary of BPI-DOST Science Awards as the longest program of BPI Foundation Inc. For 2019, BPI awarded 30 exemplary young scientists from 11 partner schools, namely, Ateneo de Davao University, Ateneo de Manila University, De La Salle University, Mindanao State University - Iligan Institute of Technology, St Louis University, University of San Carlos, University of Santo Tomas, UP Diliman, UP Los Baños, UP Manila, and Xavier University - Ateneo de Cagayan.
 
The BPI-DOST Science Awards program is a partnership between BPI Foundation Inc and DOST Science Education Institute to recognize young Filipino undergraduate students who venture into innovative research.
 
Awardees also exemplify strong academic background, leadership skills, and community involvement.
 
Xavier Ateneo congratulates the following winners of BP-DOST Science Awards!
 
Fuentes, Marvin Serge G
BS Computer Science
"Developing a Rule-Based Chatbot to Classify Severity of Depression using Decision Trees"
Top 10 (No particular rank)
 
Reyes, Marc Anthony B
BS Computer Science
"A Mobile Application Using Convolutional Neural Networks (CNN) for Detecting Rice Plant Diseases and Pests"
Top 6 (No particular rank)
 
Caumban, Lloyd Alvin P
BS Biology
"Bioremediation potential and biomass production of indigenous microalgae consortia cultured in urban wastewater"
Top 30 (No particular rank)
 
As part of the said program, the students also attended the summit workshop on August 1 at the BPI Buendia Center. The oral presentations and awarding ceremony were held the next day at the Alphaland City Club in Makati City, Metro Manila.∎
 
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Fuentes, Marvin Serge G
BS Computer Science
"Developing a Rule-Based Chatbot to Classify Severity of Depression using Decision Trees"
Top 10 (No particular rank)
 
20190802 114413
Caumban, Lloyd Alvin P
BS Biology
"Bioremediation potential and biomass production of indigenous microalgae consortia cultured in urban wastewater"
Top 30 (No particular rank)
 
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Reyes, Marc Anthony B
BS Computer Science
"A Mobile Application Using Convolutional Neural Networks (CNN) for Detecting Rice Plant Diseases and Pests"
Top 6 (No particular rank)
 
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BPI-DOST Science Awards 2019 Recipients


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