Michael DeGiorgio, Assistant Professor of Biology
Using statistical population genetics and phylogenetics to understand within- and between-species evolutionary relationships.
Development and application of statistical methods for identifying signals of natural selection in genomewide data.
Bruce Desmarais, Associate Professor of Political Science
Network analysis is the primary methodological approach in his research. Areas of application include international conflict and cooperation among countries, campaign finance and co-sponsorship networks in the US Congress, digital communication networks in local government, diffusion of public policies across the US states, and the interconnectedness of scientific research and US regulatory policymaking. His current research agenda is generously supported by three grants from the US National Science foundation and one from the Russell Sage Foundation.
Eric Ford, Professor of Astronomy
Finding habitable planets through dynamical simulations and signal extraction form “Big Data”
Awarded the American Astronomical Society Helen B. Warner prize in 2012 “for his theoretical and computational research in the field of extrasolar planets, including ground-breaking work on the dynamical evolution of planetary systems and planet information.”
Michael Hallquist, Assistant Professor of Psychology
My research characterizes the developmental psychopathology of personality dysfunction in adolescence and young adulthood. I am interested in how personality traits, interpersonal relationships, and disrupted maturation of neurobehavioral systems are associated with the emergence of personality dysfunction, especially borderline personality disorder (BPD). Work in our laboratory spans clinical, behavioral, and neuroimaging assessments of personality and psychopathology. As a developmental psychopathologist, my research also focuses on the normative maturation of brain systems implicated in self-control, reward processing, and emotion regulation, which informs a better understanding of abnormal trajectories in BPD.
Vasant Honavar, Professor & Edward Frymoyer Chair of Information Sciences & Technology
Artificial Intelligence, Machine Learning, Data Mining, and Big Data Analytics, Bioinformatics and Computational Molecular and Systems Biology, Discovery Informatics, Knowledge Representation and Semantic Web, Applied Information Integration and Informatics.
Reuben Kraft, Shuman Assistant Professor of Mechanical Engineering
Computational mechanics, biomechanics, high-strain-rate behavior of materials, high performance computing, injury biomechanics, dynamic failure mechanisms, shock physics, impact, constitutive and failure modeling, soft tissue physics, numerical methods for multiphysics coupling.
Xiao Liu, Assistant Professor of Biomedical Engineering
My group focuses on combining multi-modal neuroimaging techniques, e.g., fMRI, electrophysiology, and simultaneous fMRI-EEG, and computational approach to understand functional connectivity and temporal dynamics of the brain, particularly at different consciousness states such as sleep and anaesthesia.
315 Hallowell Building
Xiaofeng Liu, Assistant Professor of Civil & Environmental Engineering
Environmental hydraulics, sediment transport, multiphase flow, CFD, water quality modeling.
The major thrust in our research is to develop and utilize novel computational models for problems in environmental hydraulics and water resource engineering in general. Complementary to computational modeling, we also do some lab experiments and analytical work.
Zita Oravecz, Assistant Professor of Human Development and Family Studies
My primary research interest lies in studying individual differences from a process modeling perspective. The general goal is to develop and apply state-of-the-art statistical approaches to particular areas of substantive research (in my case emotion and cognition) that would be difficult or impossible to study without novel methods of analysis.
One model of particular interest is the Ornstein-Uhlenbeck process model that describes temporal changes in terms of psychologically meaningful parameters. I am currently developing a multivariate version of the model to capture changes and synchronicity in different aspects of well-being over time.
Xiang Zhang, Associate Professor of Information Sciences and Technology
My research bridges the areas of big data analytics, data mining, machine learning, database and biomedical informatics. I am particularly interested in developing algorithms for analyzing massive data sets generated in social, biological and medical domains.
301C Information Sciences and Technology Building
Minghui Zhu, Dorothy Quiggle Assistant Professor of Electrical Engineering
His research interests lie in the design, analysis and control of multi-agent networks with applications in multi-vehicle networks, security and the smart grid. He is the co-author of the book “Distributed optimization-based control of multi-agent networks in complex environments” (Springer, 2015). He was the recipient of the Powell fellowship and the Back fellowship at the University of California, San Diego in 2007. For his Ph.D. research, he received the award of Outstanding Graduate Student of Mechanical and Aerospace Engineering at the University of California, San Diego in 2011. He is an associate editor of the Conference Editorial Board of the IEEE Control Systems Society. He was selected as an outstanding reviewer of Automatica in 2013 and 2014.
227E Electrical Engineering West
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- Nov 7, 201711:00 am - 5:00 pm
XSEDE HPC Workshop: GPU Programming Using OpenACC
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- Nov 6, 201710:00 am - 3:00 pm
NIIMBL Teaming Event with Celgene
Celgene, a biotechnology company, invites researchers to a m…More Info
- Nov 8, 20178:30 am - 4:30 pm
Amazon Web Services Research Immersion Day
Come and learn how to do science on the cloud! From scaling …More Info
- Nov 9, 20171:30 pm - 2:30 pm
SIRO Proposal Development Workshop: Perspectives on Graduate Education
Dean Evasius, Director, NSF Division of Graduate Education, …More Info
- Nov 2, 201712:00 pm - 1:00 pm
Introduction to Data Science with R Workshop 8: Managing Multiple Datasets
In this workshop, we will begin to synthesize what we have l…More Info
- Nov 10, 20172:00 pm - 3:00 pm
SIRO Proposal Development Workshop: NSF Research Traineeship Program-Limited Submission Opportunity
The NSF Research Traineeship (NRT) program (NSF 18-507) is d…More Info
- Nov 14, 20179:00 am - 5:00 pm
GIS Day 2017
Penn State GIS Day strives to bring together those who are w…More Info
- Nov 9, 201712:00 pm - 1:00 pm
Introduction to Data Science with R: Working with Text Data in R
In this workshop, we will cover the basics of manipulating a…More Info
- Nov 14, 20175:00 pm
Paul Hawken, “Drawdown, the Most Comprehensive Plan Ever Proposed to Reverse Global Warming”
Environmentalist and entrepreneur Paul Hawken will be the ke…More Info
- Nov 16, 20172:00 pm - 3:30 pm
Ari Fertig of “The Conversation”
Penn State will host editor Ari Fertig from the academic med…More Info
- Nov 17, 20174:00 pm - 5:00 pm
Stochastic Computations Working Group: “Parameter estimation using linear response statistics: Theory and numerical scheme”
Join ICS Associate John Harlim and Xiantao Li for their bi-w…More Info