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George Mohler

Professor of Computer & Information Science

Director of the Institute for Mathematical Modeling & Computational Science

Indiana University - Purdue University Indianapolis

Contact: gmohler [AT] iupui [DOT] eduG an

My research focuses on statistical and deep learning approaches to solving problems in spatial, urban and network data science.  Several current projects include modeling and causal inference for overdose and social harm event data, fairness and interpretability in criminal justice forecasting, and modeling viral processes and link formation on networks using a combination of point processes and neural networks.    

Education

Ph.D. in Mathematics

University of California Santa Barbara

2008

 

M.A. in Mathematics

University of California Santa Barbara

2005
 

B.S. in Mathematics (Highest Distinction)

Indiana University Bloomington

2003

 

Academic Employment

Professor

Indiana University - Purdue University Indianapolis

Department of Computer and Information Science 

2021-present

Director

Indiana University - Purdue University Indianapolis​

Institute for Mathematical Modeling and Computational Science

2019-present

Associate Professor

Indiana University - Purdue University Indianapolis

Department of Computer and Information Science 

2016-2021

 

Assistant Professor

Santa Clara University

Department of Mathematics and Computer Science 

2010-2016

 

CAM Assistant Adjunct Professor

University of California, Los Angeles 

Department of Mathematics

2008-2010

Graduate Students

 

Wen-Hao Chiang (PhD, expected 2022)

Samira Khorshidi (PhD, expected 2022)

Xueying Liu (PhD, expected 2022)

Hao Sha (PhD, 2021)

Ritika Pandey (MS, 2020)

Bo Peng (MS, 2019)

Raghavendran Vijayan (MS, 2018)

Editorial Activities

Associate Editor, International Journal of Forecasting, 2020-present

 

Recent Criminal Justice Publications 

D. Sledge, H. F. Thomas, B. L. Hoang, and G. Mohler. Impact of Medicaid, Race/Ethnicity, and Criminal Justice Referral on Opioid Use Disorder Treatment.  Journal of the American Academy of Psychiatry and the Law, forthcoming.

G. Mohler, S. Mishra, B. Ray, L. Magee, P. Huynh, M. Canada, D. O'Donnell, and S. Flaxman.  A modified two-process Knox test for investigating the relationship between law enforcement opioid seizures and overdoses.  Proceedings of the Royal Society A 477.2250 (2021): 20210195.

 

P. J. Brantingham, J. Carter, J. MacDonald, C. Melde, and G. Mohler.  Is the recent surge in violence in American cities due to contagion?  Journal of Criminal Justice 76 (2021): 101848.

J. Carter, G. Mohler, R. Raje, N. Chowdhury, and S. Pandey.  The Indianapolis Harmspot Policing Experiment.  Journal of Criminal Justice 74 (2021): 101814.

Khorshidi, S., Carter, J., Mohler, G., and Tita, G.  Explaining crime diversity with Google street view.  Journal of Quantitative Criminology, 37.2: 2021: 361-391.

R. Pandey, P.J. Brantingham, C. Uchida, and G. Mohler. Building knowledge graphs of homicide investigation chronologies.  In 2020 International Conference on Data Mining Workshops (ICDMW) (pp. 790-798). IEEE.

G. Mohler, P.J. Brantingham, J. Carter and M.B. Short.  Reducing bias in estimates for the law of crime concentration.  Journal of Quantitative Criminology 35.4 (2019): 747-765.

Carter, J. G., Mohler, G., and Ray, B.  Spatial concentration of opioid overdose deaths in Indianapolis: an application of the law of crime concentration at place to a public health epidemic.  Journal of contemporary criminal justice, 35.2 (2019): 161-185.

Recent COVID-19 Publications 

Wen-Hao Chiang, X. Liu, and G. Mohler.  Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates.  International Journal of Forecasting (2021).

P. J. Brantingham, G. Tita, and G. Mohler.  Gang-related crime in Los Angeles remained stable following COVID-19 social distancing orders.  Criminology and Public Policy (2021).

G. Mohler, M.B. Short, F. Schoenberg and D. Sledge. Analyzing the Impacts of Public Policy on COVID-19 Transmission: A Case Study of the Role of Model and Dataset Selection Using Data from Indiana.  Statistics and Public Policy 8.1 (2021): 1-8.

Andrea L Bertozzi, Elisa Franco, George Mohler, Martin B Short, Daniel Sledge. The challenges of modeling and forecasting the spread of COVID-19, Proceedings of the National Academy of Sciences 117.29 (2020): 16732-16738.

N. Glober, G. Mohler, P. Huynh, T. Arkins, D. O'Donnell, J. Carter and B. Ray.  Impact of COVID-19 Pandemic on Drug Overdoses in Indianapolis.  Journal of Urban Health 97.6 (2020): 802-807.

Mohler, G., Bertozzi, A., Carter, J.G., Short, M.B., Sledge, D., Tita, G., Uchida, C. and Brantingham, P.J.  (2020). Impact of social distancing during COVID-19 pandemic on crime in Los Angeles and Indianapolis.  Journal of Criminal Justice 68 (2020): 101692.

Grants and Awards

NSF grant SCC-2125319, SCC-IRG Track 2: Independent Real-Time Sensing Data to Support Community Well-Being,

$1,422,463.  2021-2024.  Joint w/ J. Brantingham (PI), E. Hartman and J. Hill.

CDC grant R01CE003362, Examining the iatrogenic effect of law enforcement disruptions to the illicit drug market on overdose in the surrounding community, $1,087,500.  9/2021-8/2024. Joint w/ Brad Ray (PI), Jennifer Carroll, Erin Comartin, Steven Korzeniewski, Grant Victor and Brandon del Pozo.

NSF grant ATD-2124313, ATD: Collaborative Research: Multi-task, Multi-Scale Point Processes for Modeling Infectious Disease Threats, $149,992. 2021-2024.

NIJ Recidivism forecasting challenge, 1st, 3rd and 2nd place in three reducing bias categories of the competition.  Joint w/ M. Porter (team PASDA), $30,000.  2021.

IUPUI AI Institute Seed Grant, Leveraging Artificial Intelligence and Machine Learning to Reduce Disparities in Suicide Trajectories: A BioPsychosocial Approach to Identify Modifiable Risk and Protective Processes.  Joint w/ Y. Xiao, J. Carlson, and S. Fang, $25,000.  2021-2022.

IU Racial Justice Research Fund, High-stakes pairing systems for mitigating police bias and misconduct.  Joint w/ J. Carter and J. Hill.  $14,915. 2020-2021.  

NIJ grant 2019-R2-CX-0004,  The Impact of Gunshot Detection Technology on Gun Violence in Kansas City and Chicago: A Multi-Pronged Synthetic Control Evaluation.  Joint w/ E. Piza (PI) and J. Carter, $503,305.  2020-2021.

NSF grant SCC-1737585, SCC-IRG Track 2: Real-Time Algorithms and Software Systems for Heterogeneous Data Driven Policing of Social Harm, joint with J. Carter and R. Raje, $791,513. 9/2017- 8/2020.

 

NSF grant ATD-1737996, ATD: Collaborative Research: Point Process Algorithms for Threat Detection from Heterogeneous Human Mobility and Activity Data, $100,000.  9/2017- 8/2020.

 

NSF grant REU-1659488, REU Site: Data Science of Risk and Human Activity, joint with co-PI M. al Hasan, $287,377.  3/2017- 2/2020.

NIJ Real-time crime forecasting challenge.  First place in nine categories of large business division.  Joint w/ M. Porter, $135,000.  2017.

 

NSF grant SES-1343123, INSPIRE: Computational modeling of grievances and political instability through global media, joint with LaFree (PI), Cunningham, Golbeck, and Torrens, $2,594,533.  9/2014- 8/2017.

 

NSF grant DMS-0968309, FRG: Collaborative Research: Mathematics of large scale urban crime, joint with A. Bertozzi (PI), G. Tita, J. Brantingham, M. Short, L. Chayes, and F. Schoenberg, $1,008,105.  9/2010-8/2013.

 

Recent Data Science Publications 

S. Badirli, Z. Akata, G. Mohler, C. Picard, M. Dundar.  Fine-Grained Zero-Shot Learning with DNA as Side Information.  Conference on Neural Information Processing Systems, NeurIPS 2021. 

H. Sha, M. Al Hasan, and G. Mohler.   Group link prediction Using Convolutional Variational Autoencoder.  AAAI Conference on Weblogs and Social Media, ICWSM 2021.

H. Sha, M. Al Hasan, and G. Mohler.  Source detection on networks using spatial temporal graph convolutional networks.  IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021.

H. Sha, M. Al Hasan, G. Mohler.  Learning Network Event Sequences Using Long Short-term Memory and Second-order Statistic Loss.  Statistical Analysis and Data Mining 14.1 (2021): 61-73.

G. Mohler, E. McGrath, C. Buntain, and G. LaFree.  Hawkes binomial topic model with applications to coupled conflict-Twitter data.  Annals of Applied Statistics 14.4 (2020): 1984-2002.

K. Gray, D. Smolyak, S. Badirli, and G. Mohler.  Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data.  ACM Transactions on Spatial Algorithms and Systems 6.4 (2020): 1-14.

Lu, S. Sridhar, R. Pandey, M. Al Hasan, and G. Mohler,  Investigate Transitions into Drug Addiction through Text Mining of Reddit Data.  Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2019.

Morehead, A., Ogden, L., Magee, G., Hosler, R., White, B., and Mohler, G.  Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi.  2019 IEEE International Conference on Big Data.

Chiang, W., B.Yuan, H. Li, B. Wang, A. Bertozzi, J. Carter, B. Ray, and G. Mohler. SOS-EW: System for overdose spike early warning using drug mover’s distance-based Hawkes processes.  Joint European conference on machine learning and knowledge discovery in databases, pp. 538-554. Springer, Cham, 2019.

Papers on Fairness-Aware and Interpretable Forecasting

G. Mohler and M. Porter.  A note on the multiplicative fairness score in the NIJ recidivism forecasting challenge.  Crime Science 10.1 (2021): 1-5.

S. Khorshidi, J. Carter, and G. Mohler.  Repurposing recidivism models for forecasting police officer use of force.  2020 IEEE International Conference on Big Data.

H. Sha, M. Al Hasan, J. Carter and G. Mohler.  Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization.  2020 IEEE International Conference on Big Data.

G. Mohler, R. Raje, J. Carter,  M Valasik, and P.J. Brantingham.  A penalized likelihood method for balancing accuracy and fairness in predictive policing.  2019 IEEE International Conference on Systems, Man, and Cybernetics.

Brantingham, P.J., M. Valasik, G. Mohler.  Does Predictive Policing Lead to Biased Arrests? Results from a Randomized Controlled Trial.  Statistics and Public Policy 5.1 (2018): 1-6.

M. B. Short and G. Mohler.  A fully Bayesian, logistic regression tracking algorithm for mitigating disparate misclassfication.  Preprint.

Full List of Publications Available at Google Scholar