Luis Rocha's lab, the Complex Adaptive Systems and Computational Intelligence (CASCI) research group at Binghamton University and the Catolica Biomedical Research Center, 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 multiscale 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 the George J. Klir Professor of Systems Science at the School of Systems Science and Industrial Engineering, and the CeBeRa Era Chair at the Catolica Medical School. Our group is seriously interconnected with other research groups and networks such as the Consortium for Social and Biomedical Complexity (CSBC), the international Center for Excellence in Mental Health Sciences, and the Center for Collective Dynamics of Complex Systems (CoCo) .
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 2025) 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 Catolica Biomedical Research Center.
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. Several lab members hold weekly office hours, check our calendar below .
Congratulations to CASCI member Felipe Xavier Costa for successfully defending his dissertation entitled "Leveraging Redundancy As A Link Between Spreading Dynamics On And Of Networks in August 2024 in the Physics Department of the University at Albany (SUNY). Felipe was supervised by Luis Rocha. Dr. Costa’s research investigates how redundancy in heterogeneous, multivariate dynamical systems can connect how dynamics affect network topology and which pathways are necessary for spreading phenomena on networks and complex nonlinear dynamics of automata networks (with node dynamics). Felipe is now a postdoctoral fellow at the Instituto Gulbenkian de Ciencia
Congratulations to CASCI member Miguel Bernardo Pereira for successfully defending his M.S. Thesis entitled "Distance Backbones of Weighted Graphs" in December 2023. Bernardo was co-supervised by Luis Rocha and Pedro Martins Rodrigues. Mr. Pereira's research deals with the topic of sparsification of weighted graphs using distance backbones of a weighted graph. He examined how these backbones preserve characteristics of epidemiological simulations carried out onsocial networks using Susceptible-Infected and Susceptible-Infected-Recovered models. Bernardo is currently a research assistant at the Instituto Gulbenkian de Ciencia .
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.
Ph.D Dissertation "Leveraging Redundancy As A Link Between Spreading Dynamics On And Of Networks", 2024, in the Physics Department of the University at Albany (SUNY). Currently Postdoctoral Fellow, Instituto Gulbenkian de Ciencia, Portugal.
M.S. Thesis "Distance Backbones of Weighted Graphs", 2023, in the Applied Mathematics and Computation Program at the Instituto Superior Tecnico, Lisbon, Portugal. Currently Graduate Research Assistant, Instituto Gulbenkian de Ciencia, Portugal.
PhD dissertation in the Complex Systems track of the Informatics PhD Program : "Time-series analysis of sentiment in social media can predict individual and collective behavior of public health significance, 2023, Indiana University. Currently Senior Software Engineer at LinkedIn
Previous postdoctoral fellow and PhD student with 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 Principal Data Scientist at NielsenIQ.
M.S. Thesis "Genesis of organization from random mixture: emergence of complex spatial patterns in a non-driven collective motion model", 2023, in Systems Science, Binghamton University. Currently a PhD student in the Mathematical, Computational and Systems Biology (MCSB) program at the University of California, Irvine.
PhD dissertation in the health Informatics track of the Informatics PhD Program : "Extending and facilitating informal care networks, 2023, Indiana University. Currently Postdoctoral Scholar at the University of California, Irvine
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.
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.
MSc. Bioinformatics, Indiana University, 2007
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.
Reka Albert
Liana Apostolova
Alain Barrat
Johan Bollen
Katy Börner
Paulo Navarro Costa
Manlio DeDomenico
Joana Gonçalves-Sá
Lang Li
Wendy Miller
Filippo Radicchi
Giancarlo Ruffo
Selma Sabanovic
Hagit Shatkay
David Soriano-Paños
Olaf Sporns
Alfonso Valencia
Salvatore Vilella
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