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Current Enrollment
Ph.D. student
 Center for the Computational Analysis of Social and Organizational Systems,
Institute for Software Research International, Carnegie Mellon University
Education
9/2001-2/2004 M.Sc. Carnegie Mellon University. Engineering and Public Policy (expected)
9/1996-1/2001 M.Sc. Carnegie Mellon University. Robotics
7/1988-7/1993 B.Sc. Bandung Institute of Technology. Computer Science
Research Interests
My research focuses on the development of integrated simulation, experimentation, and knowledge inference
upon which an automated tool for examining the multi-dimensional response surface of complex social
spatio-temporal multi-agent software systems could be constructed. This research is part of the unique
emerging field of the computational social sciences (e.g., computational organization theory) and the
social computer sciences (e.g., multi-agent systems). The field supports a unified perspective on groups,
organizations, institutions and societies as intelligent adaptive agents composed of networks of
socially-embedded, intelligent and adaptive agents that can be reasoned about, and supported by,
computationally and socially sophisticated models and agents. The automated tool would be in the form of
social inference engine that enables causal reasoning on complex multi-socio-agent network systems. This
inference engine would operate on social, spatio-epidemiological, demographic knowledge and rules. It
would adaptively use simulations to refine the knowledge and rules so that new complex social and
epidemiological patterns emerge. Better simulation codes are generated through the improved inference
engine. The social inference engine would add novel reasoning capabilities beyond current
state-of-the-art meta-models. It would model how a human experimenter/scientist would reason about how
to run and get results from experiments, including reasoning about the linkage between logical inference
and social multi-agent simulation. This constitutes the hypothesizing about what and what kind of
experiments to perform - the reasoning step -- and then doing virtual and real experiments to see if the
hypotheses fit - the simulation/experiment step. Bootstraping and validating would be done along the way
the social inference engine with known empirical findings and data from social science, medical science,
organizational science, demographics, among others. The research problem I am addressing with this
research is BioWar, which is to say, how to accurately model signal and noise in the complex BioWar
social and health signatures. It is critical to be able to model bioattacks and normal spreading
patterns timely (in hour/minute units) and accurately so that detection could occur early.
Honors and Awards
Biosurveillance Scholarship
Robotics Scholarship
Papers
Kathleen Carley and Alex Yahja, Current State of Biowar: First Challenge, in progress.
Alex Yahja, Automated Response Surface Analyzer Design for BioWar, in progress.
Presentations
Kathleen Carley, Douglas Fridsma, and Alex Yahja, July 12-21, 2002, Current State of BioWar and Its Proposed Improvements, CASOS 2002 Conference, Pittsburgh, PA
Kathleen Carley, Douglas Fridsma, and Alex Yahja, May 9-13, 2002, Current State of BioWar, Lake Arrowhead Conference, Lake Arrowhead, CA
Projects
BioWar
- Working with the team, designed, developed, and validated BioWar simulation.
- Participating in simulation-detection team meetings for BioWar.
- Participating in ontology design team for BioWar.
Skills
- Experienced in implementation and testing of software on diverse platforms.
- Proficient in computer programming in C, C++, MPI, perl, python, on workstations and PCs, and in using Linux, Unix, VxWorks, and Windows operating system.
- Experienced in working on porting issues to supercomputing with PSC supercomputing team.
- Experienced with RTC interprocess communication package and TCP/IP.
- Experienced in developing robotic systems.
- Capable of working in groups and self-motivated when working alone.
- Broad and in-depth knowledge of social, policy, and organizational issues.
- Skilled in conceptual and practical policy analysis.
- Attended CASOS 2001 & 2002 Seminars & Conferences.
- Tutoring about CONSTRUCT - a constructive model of social interactions - during CASOS 2001 & 2002 Seminars.
Language Skills
- Japanese
- French
- German
- Indonesian (my native language)
- English
- Chinese
Academic Interests
Social agents, networks, & society modeling, machine learning applied to complex realistic (social,
spatio-epidemiological, geographical, temporal, economical, etc.) multi-agent systems, knowledge as simulation,
and artificial intelligence through social science, constraints, knowledge inference, experimentation,
& simulation.
Activities
Hobbies include reading, hiking, listening to music, playing guitar, swimming, gardening, and mountain-climbing.
Attend CASOS Seminars.
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