Invited Speakers


Invited Talk #1

Dr. Dan Rustia

Wageningen University and Research, the Netherlands

DOST Balik Scientist

Topic: Realizing the value of data and computing in smart agriculture

Agricultural production is one of the most important contributors to a country’s economy. With the rapid rise in technology, systems have been developed to address issues in agriculture that were not solvable before. In the Philippines, it has been an assumption that building smart agricultural technologies face many issues due to the instability and unavailability of internet connection, lack of resources, and many other reasons. However, people do not realize that the actual problem is the lack of value to data.

Emerging areas of computing, including artificial intelligence (AI), Internet of Things (IoT), and data science, are some of the key technologies that can resolve this problem and promote smarter agricultural production. In this presentation, actualizations of using intelligent data-driven systems in agricultural production are demonstrated. One given example is the development of an insect pest monitoring system. Imaging devices were installed in an agricultural production site to count the number of insect pests found on sticky paper traps. By edge computing technology, each device was capable of exploiting lightweight deep learning models to detect and recognize insect pests. Users of the system were able to learn more about how to manage the insect population on their farm and prevent crop damage; optimizing pesticide usage. This presentation will encourage researchers, industries, and organizations in working toward smarter agriculture and realizing its potential.

Invited Talk #2

Dr. Aloha Ambe

Design Participation Laboratory, School of Computer Science,

Queensland University of Technology, Australia

Topic: Co-Designing with Future Technology Users

Technology is becoming more pervasive and has more impact on humans than ever before. There is a need to improve technology design practices that produce innovations that increase the benefits and prevent harm to humanity. In the west, shifting technology design approaches to be more user-centered is increasingly becoming more popular; especially in the design of Artificial Intelligence/machine learning systems. What does a user-centered practice mean? How do you do it?

In this presentation, I will describe an approach that foregrounds the users’ perspectives in the technology design process – collaborative design (co-design).

Co-design is an approach that acknowledges that the experiences of users and designer/technical experts or researchers are different. In this approach, the agency and quality of experience of potential technology users are a priority to understand their own context and culture. I will illustrate this approach with projects relating to monitoring technologies designed for older people.

Older people who live independently are envisioned as users of monitoring technologies that can sense their movements, vital signs, and activities. Monitoring technology is a response to the call to ensure older people’s safety, security, and wellbeing; however, the solution-oriented or needs-based design approach taken in design often treats older adults as passive recipients of the technology. I investigated older people’s perspectives and explored how they may reimagine these technologies in their life and future. The investigation was conducted through qualitative and design research methods anchored with a Co-design approach that actively involves potential users in the design process, to ensure the output aligns with the user’s terms and preferences.

In the proliferation of needs-based and solution-based technology design, this presentation showcases a design approach that shifts the emphasis from perceived needs, wants and solutions to bring to light lived values, agency, meanings, and aspirations – rhetoric that reverberates and amplifies the user’s voice.

Invited Talk #3

Dr. Macario Cordel II

Andre L. Tan Data Science Institute,

De La Salle University, Philippines

Topic: Human Attention Prediction


He has authored and co-authored high quality research publications in reputable Scopus conferences and journals, one of which is the earliest publication on CNN-based project from the Philippines. This said publication belongs to the top 1% of its peer group worldwide, according to Scopus. As a research affiliate of ALTDSI, his works are mainly in the interface of human perception, cognition and computer vision.