The Ateneo Blockchain Laboratory aims to conduct applied research and development projects that are focused on the practical applications of Blockchain.
The Ateneo Computational Sound and Music Laboratory is concerned with the application of machine learning, computational methods, and algorithmic methodologies in the domain of sound and music. This is an interdisciplinary endeavor that intersects computer science with sound and music, where the applications that arise from these research works are expansive. Examples of outputs range from advancements in artificial intelligence, applications outside both computer science and art (e.g. health), and scientific insights in the world of the arts.
The Ateneo Algorithms and Computing Applications Laboratory explores the development of algorithms for optimization problems, and applications of computing principles in the areas of Machine Learning, Artificial Intelligence, Computer Vision and Big Data.
ATENEO LABORATORY FOR INTELLIGENT VISUAL ENVIRONMENTS (ALIVE)
The Ateneo Laboratory for Intelligent Visual Environment (ALIVE) aims to improve the detection and classification of objects using image processing and machine learning methods through the use of digital images with implementations on biomedical related applications, traffic and pedestrian monitoring and surveillance.
ATENEO LABORATORY FOR THE LEARNING SCIENCES (ALLS)
The Ateneo Laboratory for the Learning Sciences has two main focus areas: the development of educational software and the use of learning analytics to to derive new insights about how students learn best.
Ateneo Network Research Group (AteneoNRG) aims to perform studies on a broad range of topic areas, addressing numerous aspects of networking, with primary emphasis on Internet protocols and applications, telecommunications and data services, traffic engineering and modeling, and systems and network design, management, interoperability and security. New trends in technology such as Software Defined Networks (SDN) and others are currently fields of interest. The end goal would be to find new and exciting ways of using existing and emerging network technologies.
Established in 2012, Ateneo Social Computing Science Laboratory aims to improve lives of ordinary people by understanding human and group behaviors through analysis of natural language and movements implemented in any of the following research components: social media analytics and modeling, design and development of social computing platforms, social network analysis and modeling, and agent-based simulations and modeling.
ATENEO VIRTUAL, AUGMENTED, AND MIXED REALITY LABORATORY (VAMR)
The Ateneo Virtual, Augmented, and Mixed Reality (VAMR) Laboratory conducts research on the latest extended-reality technologies and their practical applications.
Headed by Dr. Maria Mercedes T. Rodrigo and Dr. Eric Cesar E. Vidal, Jr., the VAMR Laboratory builds upon the previous work of the Ateneo Laboratory for the Learning Sciences on mobile Augmented Reality for education. The new laboratory intends to improve the already-developed AR technology (such as interactive game scripting, hand gesture detection, etc.) and utilize them to develop more full-fledged VAMR applications for entertainment, training, and education.
The VAMR Laboratory also houses a variety of VR headsets and controllers for learning and development purposes. These hardware will make existing VR applications accessible to students of the University, and will also allow students to conduct VR research, such as application development and usability testing.
