Luis Rocha's lab, the Complex Adaptive Systems and Computational Intelligence (CASCI) research group at Binghamton University and the Instituto Gulbenkian de Ciencia, works on complex systems and network science. We are particularly interested in the informational properties of natural and artificial systems which enable them to adapt, learn, and evolve. This means both understanding how information is fundamental for controlling the behavior and evolutionary capabilities of complex systems, as well as abstracting principles from nature to produce adaptive intelligent systems. This theoretical and applied research agenda focuses on tackling multi-level complexity involved in human health, and is organized in three main threads: complex networks & systems, computational and systems biology, and computational intelligence. Our publications are available online.
See our current roster and information on how to join our group. Luis Rocha is also co-director with Johan Bollen of the Center for Social and Biomedical Complexity (CSBC) between Indiana University and Binghamton University (SUNY). Our group is seriously interconnected with other research groups and networks such as the Center for Collective Dynamics of Complex Systems (CoCo) and the Instituto Gulbenkian de Ciência.
We are always looking for postdocs and students at any level to collaborate with us. Professor Rocha currently works with students from various programs, chiefly the graduate program in Systems Science at Binghamton University (SUNY), but also the NSF-NRT Interdisciplinary Program in Complex Networks & Systems he created, the Programme in Integrative Biology and Biomedicine at the Instituto Gulbenkian de Ciencia, and others.
All available postdoctoral positions are now filled. But we will soon (early 2023) be accepting applications for one or more full-time non-tenure track postdoctoral fellows to conduct interdisciplinary research in Complex Networks and Systems applied to various social, ecological, biological, medicine and health problems in our lab at the Systems Science and Industrial Engineering Department at Binghamton University (State University of New York) or the Instituto Gulbenkian de Ciencia.
Current lab members see graduate forms needed during Systems Science program. There is also a dissertation proposal set of guidelines, and dissertation and thesis examples.
You are welcome to join our Google Group and mailing list CASCI@binghamton.edu by requesting to join.
The CASCI lab meets Friday @ 09:30am in Engineering Building, Complex Adaptive Systems and Computational Intelligence Lab (EB, C3, 1st Floor), and on Zoom.
Congratulations to CASCI member Kelly McClinton for successfully defending her dissertation entitled "Computationally Modeling Roman Domestic Art and Architecture" on April 23rd 2021. Kelly was co-supervised by Luis Rocha and Bernard Frischer. She completed her PhD degree as a fellow of the NSF-NRT Interdisciplinary training in Complex networks and Systems. Dr. McClinton’s research investigates how computational models, including 3D reconstructions, mixed-media models, complex systems, and machine learning, present unique technological affordances in studying the fragmented material record of ancient Rome, focusing on domestic Roman art and architecture. In addition to Complex Networks and Systems, her dissertation contributes to the fields of virtual heritage, archaeology, and art history. Kelly is now the Assistant Director of the Virtual World Heritage Lab, and this fall, Kelly will be studying at the University of Oxford, and working on a project entitled "Elite Identity in Domestic Space in Rome. Architectural Change and Redecoration in Late Antique Houses" under the supervision of Professor Ine Jacobs
We are happy to work on research projects with undergraduate students, especially in summer projects. In 2022 we worked with outstanding students Kian Bigovic Villi (University of Zagreb, Croatia), Isabel Campgnolo (Instituto Superior Tecnico, Portugal), and João Adaixo (Universidade de Aveiro, Portugal.) See a summary of their amazing summer projects.
PhD dissertation in the NSF-NRT Interdisciplinary training in Complex networks and Systems and individualized dual-major in Virtual Heritage: Computationally Modeling Roman Domestic Art and Architecture. 2021, Indiana University. Currently DPhil Student at Oxford University, Assistant Director of the Virtual World Heritage Lab at Indiana University, and research affiliate at the Complex Adaptive Systems and Computational Intelligence Lab at Binghamton University.
Previous Postdoctoral Fellow: Currently Assistant Professor, Department of Informatics at the Faculty of Sciences, University of Lisbon.
MS Thesis in Informatics/Complex Networks and Systems: Canalization in Stochastic Boolean Networks. 2020, Indiana University. Currently Ph.D. student at the University of Florida.
Dual-PhD dissertation in the Complex Systems track of the Informatics PhD Program as well as the Cognitive Science program: “Neural Correlates of Adaptive Behavior: Structure, Dynamics, and Information Processing. 2019, Indiana University. Currently a Software Developer at the National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention.
PhD dissertation in the NSF-NRT Interdisciplinary training in Complex networks and Systems: Prediction of Drug Interaction and Adverse Reactions, with data from Electronic Health Records, Clinical Reporting, Scientific Literature, and Social Media, using Complexity Science Methods. 2019, Indiana University. Currently Postdoctoral Researcher at the Complex Adaptive Systems and Computational Intelligence Lab at Indiana University.
Dual-PhD dissertation in the Complex Systems track of the Informatics PhD Program as well as the Cognitive Science program: The anatomical and effective structure of complex systems. 2017, Indiana University. Currently Assistant Professor, School of Data Science, University of Virginia.
PhD dissertation in the Complex Systems track of the Informatics PhD Program: The Role of Canalization in the Spreading of Perturbations in Boolean Networks. 2017, Indiana University. Currently Postdoctoral Research Associate at Michael Levin’s lab, Biology Department, Tufts University.
PhD Dissertation in the Complex Systems track of Informatics: Measuring Scales: Integration and Modularity in Complex Systems. 2015, Indiana University. Currently a researcher at the Universal Biology Institute, a theoretical biology group at the University of Tokyo.
Previous Postdoctoral fellow. Currently: Assistant Professor at the Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal. See also his famous sejkko alter-ego on Instagram
PhD Dissertation in Computer Science: Biomedical Literature Mining for Pharmacokinetics Numerical Parameter Collection . 2012, Indiana University. Currently Director of Bioinformatics Core at University of Pennsylvania
PhD Dissertation in Cognitive Science: Stochastic Models And Transitivity In Complex Networks. 2012, Indiana University. Currently Associate Professor and Head of the Informatics and Information Systems Department at the Universidade Lusófona de Humanidades e Tecnologias, Portugal
PhD Dissertation: An adaptive document classifier inspired by T-Cell cross-regulation in the immune system. 2011, Indiana University. Currently artist/scientist-in-residency at the Instituto Gulbenkian de Ciencia
PhD Dissertation: Reverse engineering the mechanisms and dynamical behavior of complex biochemical pathways. 2011, Indiana University. Currently: Data Science Consultant for the Consulting for Statistics, Computing and Analytics Research Center (CSCAR) at the University of Michigan.
Previous Postdoctoral fellow. Currently: Professor at the Computer Science and Engineering Department of the Universidad Nacional del Sur, Argentina
PhD Dissertation: Analysis and simulation of the innovation process from an evolutionary perspective. 2008, Universidade da Beira Interior, Portugal. Deceased.
Previous Postdoctoral fellow. Currently: Professor in the Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan.
PhD Dissertation: Multivariate Analysis of Gene Expression Data and Functional Information: Automated Methods for Functional Genomics. 2005, Portland State University. Currently: Associate Scientist at UC Santa Cruz.
Previous Postdoctoral Visitor. Currently Associate Professor at Universidade de Vigo: Ourense, Ourense, Spain.
PhD Dissertation: A cognitive model of adaptive web design and navigation. Vrije Universiteit Brussel, Brussels, Belgium, 2001. Currently: Professor, Indiana University.
If you are interested in working with us in Complex Systems, Complex Networks, and Computational Intelligence, there are several ways to study and collaborate with us. Professor Luis Rocha supervises students and works with postdoctoral and senior researchers.
Paulo Navarro Costa
Alaa Abihaidar, Fernando Almeida e Costa, Michael Altherr, R. Baker Kearfott, Mark Bedau, Johan Bollen, Thomas Brettin, Edward Browne, Jean Challacombe, Ernesto Costa, Rui M. Costa Antonio Coutinho, Mariella DiGiacomo, Dario Floreano, Florentino Fdez-Riverola, Rob Goldstone, Raphael Gottardo, Inman Harvey, Charles Henry, Wim Hordijk, Chien-Feng Huang, Norman Johnson, Cliff Joslyn, Marianna Kantor, Jasleen Kaur, Vladik Kreinovich, Lang Li, Anália Lourenço, Richard Luce, Jeremy Luinstra, Ana Maguitman, Manuel Marques-Pita, Pedro Medina-Martins, Melanie Mitchell, Sheetal Narayanan, Predrag Radivojac, Predrag Radivojac, Steen Rasmussen, Andreas Rechtsteiner, Isabel Rocha, Miguel Rocha, Hagit Shatkay, Thomas Shenk, Tiago Simas, Steven Smith, Charlie Strauss, Herbert Van de Sompel, Karin Verspoor, Alessandro Vespignani, Michael Wall, Zhiping (Paul) Wang, Larry Yeager.
Indiana University Network Institute and CNeTS: Center for Complex Networks and Systems @ The School of Informatics and Computing, Complex Systems & Networks @ Indiana University, NaN- the Networks and Agent Networks, Artificial Life @ Indiana University, Computational Biology @ Instituto Gulbenkian de Ciencia, Complex Systems Modeling Team @ Los Alamos National Laboratory