Geoinformatics and Earth Observation Laboratory (GEOlab)

Department of Geography ◆ Institute for Computational and Data Sciences (ICDS) ◆ Earth and Environmental Systems Institute (EESI) ◆ The Pennsylvania State University

People


Faculty

Guido Cervone, Ph.D., Director

I am Professor of Geography, Meteorology and Atmospheric Science, Faculty Associate of the Earth and Environmental Systems Institute (EESI) and Associate Director of the Institute for CyberScience at the Pennsylvania State University. I am also Affiliate Scientist with the National Center for Atmospheric Research (NCAR) and Adjunct Professor at the Lamonth-Doherty Earth Observatory (LDEO) of Columbia University. My research sits at the intersection of geospatial science, atmospheric science and computer science. My research focuses on the development and application of computational algorithms for the analysis of spatio-temporal remote sensing, numerical modeling and social media Big Data related to environmental hazards and renewable energy. I received research funding from DARPA, NSF, ONR, DOT, NCAR, NASA, Italian Ministry of Research and Education, Draper Labs, Stormcenter Communication.

In 2013 I received the "Medaglia di Rappresentanza" from the President of the Italian Republic for my work related to the Fukushima crisis. I authored two edited books, over forty fully refereed articles relative to data mining, remote sensing and environmental hazards. I co-chaired several workshops on remote sensing, data mining and GeoInformatics. In 2010, I was awarded a US patent for an anomaly detection algorithm. My research was featured on TV news, newspapers, and general interest magazines. I sailed over 4000 offshore miles.

Please visit my website for the access to my CV.

Email: cervone AT psu DOT edu


Manzhu Yu, Ph.D., Associate Director

I am Assistant Professor of GIScience in the Department of Geography at Penn State. I received my bachelor degree in Remote Sensing from Wuhan University in 2012 and my doctoral degree in Earth System and Geoinformation Science from George Mason University in 2017. My research focuses on spatiotemporal theories and applications, atmospheric modeling, environmental analytics, big data and cloud computing, and the ability of using the above to solve pressing issues in natural hazards and sustainability. I hope to continue mitigating the life and economic costs associated with natural hazards by facilitating more accurate and timely analyses for extreme weather events.

Email: mqy5198 AT psu DOT edu


Shujie Wang, Ph.D.

I am an Assistant professor in the Department of Geography, Faculty Associate of the Earth and Environmental Systems Institute (EESI), and Faculty Associate of the Institute for Computational and Data Sciences (ICDS). I am interested in using multi-sensor remote sensing, numerical modeling, and machine learning to study the ice sheet changes, with a focus on ice flow dynamics and ice sheet surface processes (both physical and biological processes). CV.

Email: skw5660 AT psu DOT edu


Martina Calovi, Ph.D.

I am a Postdoctoral Researcher since February 2018 at the Geoinformatics and Earth Observation Laboratory (GEOlab), at the Department of Geography and Institute of CyberScience. I actively collaborate with the Grozinger Laboratory at the Department of Entomology and with the U.S. Department of Agriculture.

I obtained my Ph.D. in Change and Complexity Management, in December 2017, at the Insitute of Management of Sant’Anna School of Advanced Studies in Pisa, Italy. The dissertation focuses on bridging geography with healthcare and disaster management. Particular attention was addressed to the use of GIS to support the spatial reorganization of outpatient care services delivery and to understand how much the proximity affects the patient’s choice of specialized cardiological visit in Italy. A third part focused on the use of atmospheric models and private weather stations to generate forecasts in urban areas.

My research includes the application of Geographical Information Science to natural disasters and emergencies, the study of climate change and the forecasting of extreme weather events, data fusion, the interactions and coexistence of human and physical environments, and the managerial implications of geographical analyses within the decision-making process. Specifically, I'm employing a downscaling algorithm based on the Analog Ensemble (AnEn) method to identify extreme weather events from datasets that vary in spatio-temporal resolution. The output is combined with socioeconomic data to quantify the vulnerability of urban populations to heat waves. Furthermore, I'm investigating the overwintering survival of the honey bee. The survival of this economically valuable and crucial pollinator is important for completely preserving biodiversity and for the vitality of the whole ecosystem. Lastly, I'm analyzing how the distribution of forage species responds to environmental and climate predictors, with the goal of generating a prediction model based on projected climates.

E-mail: mcalovi AT psu DOT edu

Personal website


Jian Sun, Ph.D.

I am a Postdoctoral research scholar since January 2019 at the Geoinformatics and Earth Observation Laboratory (GEOlab) in the Department of Geography. I’m also collaborating with InSAR Geodesy & Geohazards Laboratory (IGG) in the Department of Geosciences and Dr. Melissa Gervais in the Department of Meteorology and Atmospheric Science in College of Earth and Mineral Sciences and Institute of CyberScience at the Pennsylvania State University.

I obtained my Ph.D. in Exploration Seismology, in May 2018, at University of Calgary in Alberta, Canada. My dissertation focuses on computational and practical developments and implementations of internal multiple prediction (IMP) based on inverse scattering series. The computational burden and challenges of performing IMP in practice drives and inspires me of attempting deep learning (DL) / machine learning (ML) techniques in Earth Science tasks. Particular attention was paid to solve the inverse problems in Exploration Geophysics both in a conventional DL way and in a new paradigm of theory-guided data science. The later approach is to combine conventional DL/ML methods and physics-based characteristics approaches, and to benefit from each other, which allows DL/ML architectures learning from deterministic physics to reduce tremendous amounts of training sets requirement and to resolve other challenges to some extent in Earth Science, in opposite, taking advantages of DL/ML architecture extremely reduces computational cost of physics-deterministic methods by transferring amounts of iterative processes into a direct application.

My current interests includes but not limited to bridge the Earth Science with spatio-temporal DL/ML techniques, for instance, to advance beyond static pattern identification and understand the entire spatio-temporal evolution of Arctic air masses and the resulting cold air outbreaks in a changing climate, to ‘track’ and ‘isolate’ the different deformation signals using DL/ML techniques which would lead to breakthroughs in volcanology with obvious implications in hazards assessment and risks mitigation, to quantify the photovoltaic (PV) energy potential in selected regions of the USA based on future possible climate scenarios.

E-mail: jbs6371 AT psu DOT edu


Ph.D. Graduate Students

Weiming Hu, M.S.

My name is Weiming Hu. I am a Ph.D. student enrolled in the Department of Geography. I have a B.S. from Wuhan University majoring in Remote Sensing and GIScience and an M.S. from Penn State majoring in Geography. Now I'm continuing with my research towards my Ph.D. My expertise lies in the fields of high-performance computing, computational algorithms, and spatial analysis. During my M.S., I have been closely involved with Numerical Weather Prediction, and I have been actively developing and maintaining the Parallel Ensemble Forecast package. There are several researchers and students in our lab investigating different aspects of this methodology as it shows promising outcomes. For my Ph.D., I plan to find my own niche between Climate Science and the energy field and explore how we could use powerful computing clusters to address global problems, like the energy crisis.

Email: wuh20 AT psu DOT edu

Fangcao Xu, M.S.

I am a Ph.D. student in the Department of Geography at the Pennsylvania State University. I joined GEOlab under the supervision of Professor Guido Cervone to focus on expanding the dimensionality of image spectroscopy via machine learning supported by DARPA. My research will expand upon the existing radiance algorithms using a spatiotemporal radiance equation by exploiting multiple hyperspectral image scans acquired by aerial platforms and develop a machine learning solution to learn the relationships between specific surface targets and the parameterization of the radiance equation. I am passionate about data-driven and big data analytics in Geographic Information Science, and mathematical algorithm development. I received an M.S. from the University of Pennsylvania in Urban Spatial Analytics and another M.S. from the Pennsylvania State University for my thesis "An Algorithm to Infer Spatiotemporal Diffusion Networks." Please visit my personal website to see my recent research and professional skills!

Email: xfangcao AT psu DOT edu

Jeremy Diaz, B.A.

I am a 5-year M.S to Ph.D. student in Geography. I have a B.A. in Ecology and Evolutionary Biology from the University of Colorado Boulder, with minors in Geography and Applied Mathematics. Although my degree is in ecology, I quickly began working in data science via genetic analysis and used that (along with a 1-semester job at the National Snow and Ice Data Center) to transition into a 3-year position at University of Colorado Boulder's Grand Challenge initiative: Earth Lab. There, I applied statistics, computer vision, natural language processing, and cloud computing to projects related to the occurrence, management, and impacts of natural hazards - the first publication among these projects is titled "Predicting property damage from tornadoes with zero-inflated neural networks". Under Dr. Cervone, I plan to branch further into remote sensing, climate science, and algorithm development.

Email: jad6655 AT psu DOT edu


Members who moved on to Greater Endeavors

Post Doctoral Researchers

Liping Yang, Ph.D.

Post Doctoral Researcher. Member during Fall 2016 - Summer 2018.

Currently at Los Alamos National Laboratory (LANL), will be joining the University of New Mexico in January 2020 as a tenure-track assistant professor of GIScience with a research focus on geospatial artificial intelligence.

George Panteras, Ph.D.

Post Doctoral Researcher. Member during Spring 2016 Fall 2016.

Currently working in the industry.

Vincenzo Leone, Ph.D.

Post Doctoral Researcher. Member during Fall 2014 - Spring 2015.

Currently a faculty member at the Second University of Naples, Italy.

Gabriella Ferruzzi, Ph.D.

Post Doctoral Researcher. Member during Spring 2015 - Spring 2016.

Currently at University Federico II, Napoli, Italy.


Mark Coletti, Ph.D.

Post Doctoral Researcher. Member during Spring 2014 - Spring 2015.

Currently at Oak Ridge National Laboratory (ORNL).


Doctoral Students

Carolynne Hultquist, Ph.D.

Member during Fall 2014 - Fall 2019.

Currently a postdoc at Columbia University, and starting as Assistant Professor (Lecturer) at the University of Canterbury, New Zealand in Fall 2021.

Laura Clemente-Harding

Member during Fall 2014 - Fall 2019.

Currently working at U.S. Army Engineer Research and Development Center.

Elena Sava, Ph.D.

Member during Fall 2014 - Fall 2018.

Currently working at U.S. Army Engineer Research and Development Center.

Martina Calovi, Ph.D.


Instituto Sant' Anna, Italy (Guido Cervone co-advisor). Member during Fall 2017 - Fall 2018.

Currently a postdoc at GEOlab.


Visiting Doctoral Students

Gabriele Franch

Member during Spring 2019 - Summer 2019.

Currently finishing his Ph.D. at Fondazione Bruno Kessler (FBK).

Mehdi Shahriari, Affiliated Ph.D.

Member during Fall 2016 - Fall 2017.

Currently working in the industry as a senior energy analyst.

Yifan Pan, Visiting Ph.D.

Ph.D. Candidate. Member during Oct. 2016 - May 2017.

Continuing his PhD study at Peking University in China.


M.S. Students

Courtney Jackson, M.S.

B.S. Geography Spring 2016 and M.S. Geograpy, Spring 2020. Member during Fall 2015-Spring 2020.

Yanni Cao, M.S.

M.S. Geograpy, Summer 2016. Member during Fall 2015-Summer 2016.

Having fun at her dream job in Santa Clara, CA.

Anna De Angelis, M.S.

M.S. Computer Science, Spring 2015. Member during Spring 2014-Spring 2015.

Emiliano di Marino, M.S.

M.S. Computer Science, Spring 2015. Member during Spring 2014-Spring 2015.


Martina Moccaldi, M.S.

M.S. Computer Science, Spring 2015. Member during Spring 2014-Spring 2015.

Pursuing a Ph.D. in Mathematics at the University of Salerno, Italy.

Alessio Petrozziello

M.S. Computer Science, Spring 2015. Member during Spring 2014-Spring 2015.

Pursuing a Ph.D. in Computer Science at the University of Southampton UK.

Rosa Sicignano

M.S. Computer Science, Spring 2015. Member during Spring 2014-Spring 2015.


M.S. GIS Students

Mark Prettyman, M.S. GIS

M.S. GIS, Spring 2020. Member during Fall 2019 - Spring 2020.

Laura Santos, M.S. GIS

M.S. GIS, Summer 2019. Member during Fall 2018 - Summer 2019.

Elena Galvan, M.S. GIS

M.S. GIS, Spring 2015. Member during Spring 2016.

Suzanne Zick, M.S. GIS

M.S. GIS, Spring 2015. Member during Spring 2016.


Justin Novak, M.S. GIS

M.S. GIS, Spring 2015. Member during Fall 2014.


Undergraduate Students

Alon Sidel

B.S. Meteorology Summer 2020. Member during 2018-2020.

Yu Zhong

B.S. Geography Spring 2020. Member during 2018-2020.

Yuying Ren

B.S. Geography, Spring 2018. Member during 2017-2018.

Luba Hristova

B.S. Geography, Spring 2018. Member during 2017-2018.

Zongjun Li

B.S. Geography, Spring 2018. Member during 2017-2018.

Dakotah Maguire

B.S. Geography, Spring 2015. Member during Spring 2014.