Shahrzad Gholami

Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2

Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee

JAMA Ophthalmology | February 2024

Publication Project

Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres

International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022

Publication PDF Project Project

Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations

Lily Xu, Shahrzad Gholami, Sara McCarthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

IEEE 36th International Conference on Data Engineering (ICDE'20) | April 2020

Publication PDF

Don’t Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge

Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'19) | May 2019

Publication PDF

Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers

Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'18) | July 2018

Publication PDF

Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test

Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga

Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD'17) | December 2017

Publication PDF

Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data

Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'17) | May 2017

Publication PDF

Protecting Wildlife under Imperfect Observation

Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Aggrey Rwetsiba, Rob Critchlow

Workshops at the AAAI Conference on Artificial Intelligence | July 2016

Publication

Observer based Feedback Control of Biodynamical Model of Tumor Growth with Sampled Measurements

Shahrzad Gholami, Aria Alasty, Hassan Salarieh

European Control Conference (ECC) | July 2016

Publication

Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals

Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe

Games | June 2016, Vol 7(3): pp. 1-27

Publication

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection

Thanh H Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow

International Conference on Autonomous Agents & Multiagent Systems (AAMAS'16) | May 2016

Publication PDF

On the Control of Tumor Growth via Type-1 and Interval Type-2 Fuzzy Logic

Shahrzad Gholami, Aria Alasty, Hassan Salarieh, Mehdi Hosseinian-Sarajehlou

Journal of Mechanics in Medicine and Biology | October 2015, Vol 15(05)

Publication

Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2

Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee

JAMA Ophthalmology | February 2024

Publication Project

Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations

Lily Xu, Shahrzad Gholami, Sara McCarthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

IEEE 36th International Conference on Data Engineering (ICDE'20) | April 2020

Publication PDF

Don’t Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge

Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'19) | May 2019

Publication PDF

Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers

Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'18) | July 2018

Publication PDF

Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test

Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga

Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD'17) | December 2017

Publication PDF

Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data

Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'17) | May 2017

Publication PDF

Observer based Feedback Control of Biodynamical Model of Tumor Growth with Sampled Measurements

Shahrzad Gholami, Aria Alasty, Hassan Salarieh

European Control Conference (ECC) | July 2016

Publication

Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals

Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe

Games | June 2016, Vol 7(3): pp. 1-27

Publication

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection

Thanh H Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow

International Conference on Autonomous Agents & Multiagent Systems (AAMAS'16) | May 2016

Publication PDF

On the Control of Tumor Growth via Type-1 and Interval Type-2 Fuzzy Logic

Shahrzad Gholami, Aria Alasty, Hassan Salarieh, Mehdi Hosseinian-Sarajehlou

Journal of Mechanics in Medicine and Biology | October 2015, Vol 15(05)

Publication

Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2

Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee

JAMA Ophthalmology | February 2024

Publication Project

Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres

International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022

Publication PDF Project Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations

Lily Xu, Shahrzad Gholami, Sara McCarthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

IEEE 36th International Conference on Data Engineering (ICDE'20) | April 2020

Publication PDF

Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test

Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga

Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD'17) | December 2017

Publication PDF

Protecting Wildlife under Imperfect Observation

Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Aggrey Rwetsiba, Rob Critchlow

Workshops at the AAAI Conference on Artificial Intelligence | July 2016

Publication

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection

Thanh H Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow

International Conference on Autonomous Agents & Multiagent Systems (AAMAS'16) | May 2016

Publication PDF

Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2

Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee

JAMA Ophthalmology | February 2024

Publication Project

Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals

Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe

Games | June 2016, Vol 7(3): pp. 1-27

Publication

On the Control of Tumor Growth via Type-1 and Interval Type-2 Fuzzy Logic

Shahrzad Gholami, Aria Alasty, Hassan Salarieh, Mehdi Hosseinian-Sarajehlou

Journal of Mechanics in Medicine and Biology | October 2015, Vol 15(05)

Publication

Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres

International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022

Publication PDF Project Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations

Lily Xu, Shahrzad Gholami, Sara McCarthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

IEEE 36th International Conference on Data Engineering (ICDE'20) | April 2020

Publication PDF

Don’t Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge

Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'19) | May 2019

Publication PDF

Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers

Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'18) | July 2018

Publication PDF

Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test

Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga

Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD'17) | December 2017

Publication PDF

Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data

Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba

International Conference on Autonomous Agents and Multiagent Systems (AAMAS'17) | May 2017

Publication PDF

Protecting Wildlife under Imperfect Observation

Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Aggrey Rwetsiba, Rob Critchlow

Workshops at the AAAI Conference on Artificial Intelligence | July 2016

Publication

Observer based Feedback Control of Biodynamical Model of Tumor Growth with Sampled Measurements

Shahrzad Gholami, Aria Alasty, Hassan Salarieh

European Control Conference (ECC) | July 2016

Publication

CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection

Thanh H Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow

International Conference on Autonomous Agents & Multiagent Systems (AAMAS'16) | May 2016

Publication PDF