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Professorial chairs (PCs) are among the highest honors given to faculty in the University of the Philippines. They are awarded on a competitive basis, with faculty members across the UP System vying for these limited distinctions. Receiving one is therefore already a mark of prestige, recognizing excellence in teaching, research, and public service.
This page lists all PCs Jaderick received over the years. UPLB PCs through Public Scholarship require public lectures with peer-reviewed manuscripts as outputs (6 awards), while One U.P. PCs are granted as multi-year distinctions based on past achievements (2 awards = 6 consecutive years). Together, these awards reflect a continuing commitment to scholarship, teaching, and service.
These PCs were conferred for one-year terms in recognition of past academic, research and public service performances and the merit of the proposed lectures. As part of each award, a public lecture was presented, a written manuscript was submitted, and feedback from appointed reactors was formally integrated. These lectures emphasized forward-looking proposals and active engagement with academic and student audiences.
01 July 2022-30 June 2023
Lecture: The UPLB Metaverse: Future-proofing UPLB's Course Delivery with Virtual Worlds
Abstract:
Showcased the development of virtual worlds (VWs) for delivering educational content at UPLB.
Highlighted the software technologies, hardware optimizations, and implementation experiences involved.
Demonstrated how interconnected VWs of academic buildings and the campus formed the “UPLB Metaverse.”
Illustrated the platform’s potential to:
Reconstruct distant or hazardous locations for safe learning.
Reenact or simulate past and future events.
Create environments that differ from real-world spatial constraints.
Inspired opportunities for students to explore virtual reality (VR) and 3D modeling as tools for education, particularly in simulating environments beyond classroom walls.
Highlighted how immersive technologies like the UPLB Metaverse can be used not only for teaching but also for heritage preservation, environmental awareness, and campus planning.
01 July 2016-31 June 2017
Lecture: Social Sensor: A New Remote Sensing Method Inferred from the Computed Sentiments of Communities through the Social Media
Abstract:
Introduced the concept of a “social sensor” — using social media posts as real-time indicators of community sentiment.
Highlighted prior work on sentiment analysis in disaster situations worldwide (earthquakes, typhoons, floods, disease outbreaks) and its potential for early warning.
Showcased a case study in the Philippines where Twitter microposts by residents near Taal Lake were analyzed to detect symptoms and anxiety leading up to fishkill events, demonstrating predictive potential.
Proposed the expansion of social sensing to other disaster-prone areas in the Philippines (e.g., Infanta, Quezon; Tacloban City; Provident Village, Marikina).
Emphasized that population sentiments, tracked in real time, could provide valuable “now-casting” capabilities for disaster preparedness and response.
Positioned the approach as a new non-physico-chemical remote sensing tool, offering decision-makers, researchers, and communities innovative ways to monitor and respond to emerging hazards.
Encouraged interdisciplinary collaboration between computer scientists, social scientists, and disaster management experts to create innovative community-based early warning systems.
Demonstrated how social media data can empower ordinary citizens to contribute to scientific knowledge and public safety, blurring the line between “researchers” and “community sensors.”
01 August 2014-31 July 2015
Lecture: Synchronizing Timepieces in O(log N) Time
Abstract:
Explored new ways of making digital clocks in computer networks “agree” with each other more quickly and reliably.
Explained the limits of current methods:
Radio signals can cause delays in time updates.
The widely used Network Time Protocol (NTP) slows down when too many computers try to connect to the same server.
Presented a new method that allows clocks in a network to synchronize much faster and with fewer errors, even when many devices are involved.
Computer simulations showed that this method synchronized up to 80% of clocks, compared to only 30% using traditional approaches.
Opened opportunities for student projects in computer science, especially in areas like distributed systems and network simulations.
Highlighted potential benefits for technologies people use every day, such as smart devices, sensor networks, and the Internet of Things (IoT), where keeping devices in sync is essential.
01 July 2011-30 June 2012
Lecture: Discovering Patterns of Scientific Collaboration in the Philippines Using Computational Social Network Analysis
Abstract:
Examined how Filipino researchers work together by looking at patterns of co-authorship in different fields — computer science, physics, agricultural sciences, agricultural engineering, and papers presented at the National Academy of Science and Technology (NAST) annual meetings.
Found that most research papers were written by small teams, though some involved larger groups of collaborators.
Showed that researchers who worked with more collaborators tended to publish more papers, highlighting the value of collaboration for productivity.
Discovered that experienced researchers often worked with younger or less experienced colleagues, helping spread expertise across the research community.
Revealed that these collaboration patterns are similar to those seen worldwide, but also pointed to areas where Filipino research networks could be strengthened.
Suggested ways for universities and funding bodies to encourage stronger research networks, especially across institutions and disciplines.
Highlighted how promoting collaboration opportunities for early-career researchers can build a more inclusive and sustainable research community in the Philippines.
01 January-31 December 2010
Lecture: UPLB as the National Collaboratory for Computational Sciences: Intelligent Computing
Abstract:
Defined the concept of a collaboratory — an institution or facility designed to bring together experts, equipment, and resources to work on collaborative research projects, particularly in computational sciences.
Discussed the operational model of collaboratories, exploring how they are run at an institutional level to foster interdisciplinary cooperation, resource-sharing, and innovation.
Examined examples from international institutions to highlight the essential components needed for a successful collaboratory, including the right equipment, technology infrastructure, and a skilled, diverse team of researchers, engineers, and technical staff.
Argued the need for a collaboratory focused on intelligent computing — a domain where artificial intelligence (AI), computational intelligence, big data, and distributed computing are rapidly advancing and intersecting.
Supported the argument with UPLB's unique national expertise: ongoing research that develops computational intelligence techniques and applies them to optimize agricultural, engineering, environmental, and artificial systems, positioning the institution as a leader in these niche areas critical for national development.
Presented why it’s crucial for the national collaboratory to invest in intelligent computing as AI technologies will drive future breakthroughs in a variety of fields, such as healthcare, robotics, data analytics, and more.
Encouraged the development of multidisciplinary educational and research programs in AI and computational intelligence, which would prepare the next generation of scientists to meet the demands of an AI-driven world.
Highlighted the importance of government and institutional support in fostering research collaboratories that invest not only in technology and equipment but also in human capital — the training, mentorship, and collaboration necessary for such a forward-looking initiative.
01 July 2008-30 June 2009
Lecture: Solving Different Problems Simultaneously with Artificial Chemistry
Abstract:
Described a novel “artificial chemical reactor”, a computer model that mimics chemical reactions to solve complex problems — like solving travel routes, scheduling airplane landings, and piecing together human DNA sequences — all at the same time.
Explained how this reactor operates: it treats potential solutions as “molecules” whose interactions and changes point toward better answers.
Demonstrated that in solving the Traveling Salesman Problem (arranging the shortest tour among cities), the reactor using a 2D environment (which added spatial structure) performed better than a version without spatial constraints.
Showed that the same chemical-inspired model could effectively tackle three different problem types simultaneously: DNA mapping, route planning, and aircraft landing schedules — on ordinary computers.
Highlighted how this chemical-reaction metaphor offers a promising way to design flexible, powerful problem-solving tools by thinking outside standard algorithm frameworks.
Inspired new ways to teach optimization and algorithms by transforming abstract computational problems into intuitive, chemical-like models that are both visual and conceptually engaging.
Suggested potential in cross-disciplinary collaboration — for example, working with biologists, logistics planners, or aviation engineers to apply “chemical computation” tools to real-world challenges in genetics, transportation, and complex scheduling.
The One U.P. PCs were awarded as honorific distinctions for three-year terms. They were conferred on the basis of demonstrated excellence in teaching, research, and public service, with no requirement for a public lecture. These awards recognized sustained past performance and academic achievement within the University of the Philippines System.
01 January 2019-31 December 2021
Sub-specialization: Network Science
01 January 2016-31 December 2018
Sub-specialization: Artificial Intelligence and High Performance Computing to Optimize Natural Systems
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