Research
Research Laboratories
Algorithms and Complexity Laboratory
The Algorithms and Complexity Laboratory (ACL) has a diverse range of research interests, but all anchored on a theoretical computer science perspective. Current research areas include natural computing (particularly membrane computing and quantum algorithms), algorithmics for hard problems, bioinformatics, and data analysis and visualization. A huge part of ACL's culture is the continuous development of new ideas and concepts that will contribute to the growing body of knowledge in computer science. Find out more and visit the lab web website at http://aclab.dcs.upd.edu.ph/.
Computer Security Laboratory
The University of the Philippines (UP) Computer Security Laboratory (CSL) is a research laboratory established in 2002. It is focused on the study of security mechanisms and protocols with a particular emphasis in the design and development of secure applications. As part of its affiliation with the Department of Computer Science, the laboratory is also the venue for the delivery of courses focused on cybersecurity, both for the undergraduate and graduate student level.
Computer Vision and Machine Intelligence Laboratory
The Computer Vision and Machine Intelligence Laboratory (CVMIL), led by Prof. Prospero Naval, is concerned with the understanding and construction of computational systems whose underlying computation utilizes to a substantial degree methods proper to or closely associated with Artificial Intelligence with special emphasis on real-world applications that mimic or are inspired by human cognitive, emotion and perceptual processes.
Logic and Computability Laboratory
LCL conducts research in the general areas of computability, automata and combinatorial algorithms.
Networks and Distributed Systems Laboratory
The Networks and Distributed Systems Group (NDSG) or alternatively, the Networks and Distributed Systems Laboratory (NDSL), conducts research in the general areas of computer networks, distributed systems, and embedded systems. Specific areas covered by recent NDSG projects include Software-defined Networking (SDN), Network Function Virtualization (NFV), wireless sensor networks, delay-tolerant networking, and community access networks. Since its foundation in 2003, the research group has been the recipient of several grants from funding bodies such as the Office of the Vice Chancellor for Research and Development (OVCRD), the Office of the Vice President of Academic Affairs (OVPAA), the Commission on Higher Education (CHED), and the Department of Science and Technology (DOST). The group regularly presents peer-reviewed papers in international conferences sanctioned or sponsored by computing-related professional bodies as the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM), and publishes articles in peer-reviewed technical journals. Recognizing the benefits of industry-academe collaboration, and the role that the academe plays in the development of the local technology industries, the research group has also been involved with companies or private entities through consultations and collaborative research projects. As a research group within the Department of Computer Science of the University of the Philippines Diliman (the National University), the group also aims to hone students into professionals that will not only exhibit knowledge and mastery of computer networks and systems but will also contribute to nation building and the countrys economic development. Faculty members of the group contribute to the definition and delivery of computer systems-related courses both at the undergraduate (CS 20, CS 21, CS 140 and CS 145) and graduate level (CS 250 and CS 255). The group facilitates undergraduate research through CS 198 (Special Problems I) and CSS 199/CS 200 (Special Problems II/Undergraduate Thesis), and graduate-level research through CS 298 (Special Problem) and CS 300 (Thesis).
Parallel Computing Laboratory
PCL is devoted into investigating the theory, design, evaluation, and use of parallel computing systems, specifically GPU and High Performance Computing.
Scientific Computing Laboratory
The Service Science and Software Engineering Laboratory (S3), headed by Professor Jaime Caro, is concerned with methodology, quality, and other issues in the creation and delivery of service systems, including the dynamic interplay of people, technology, information and organizations. Members of the laboratory are interested in tools in Data Analytics, Service Design, Software Engineering, and Information Systems Design and Management. Current application domains considered are IT for Education, E-Governance, and eHealth. For more information, visit the lab's official website at https://sites.google.com/up.edu.ph/upd-dcs-s3lab .
Service Science and Software Engineering Laboratory
The Service Science and Software Engineering Laboratory (S3), headed by Professor Jaime Caro, is concerned with methodology, quality, and other issues in the creation and delivery of service systems, including the dynamic interplay of people, technology, information and organizations. Members of the laboratory are interested in tools in Data Analytics, Service Design, Software Engineering, and Information Systems Design and Management. Current application domains considered are IT for Education, E-Governance, and eHealth. For more information, visit the lab's official website at https://sites.google.com/up.edu.ph/upd-dcs-s3lab .
Web Science Laboratory
The Web Science Lab (WSL) focuses on the analytical power of researchers from disciplines as diverse as mathematics, sociology, economics, psychology, law and computer science in order to understand and explain the Web. It is necessarily interdisciplinary; it is as much about social and organizational behavior as it is about the underpinning technology. Current research topics include usability and user experience, semantic web, geospatial technologies, linked data, big data and open data, as applied in education, healthcare, and urban environments, on all platforms, including, but not limited to, mobile and Internet of Things (IoT).