Muhammad Aurangzeb Ahmad

CV

  • Seattle, WA
  • maahmad@uw.edu
  • www.aurumahmad.com

Research Areas

fairness, accountability, transparency, ethics (fate) in AI, explainable AI, interpretable machine learning

Education

PhD., Computer Science, University of Minnesota, Minneapolis, MN 2012.

Thesis: Computational Trust in Multiplayer Online Games Adviser: Professor Jaideep Srivastava

BSc Honors Computer Science, Rochester Institute of Technology, Rochester, NY 2006.

Industry Experience

  • KenSci Inc. (March 2017 – Current) Principal Data Scientist
  • Groupon Inc. (November 2015 – March 2017) Senior Data Scientist
  • Ninja Metrics Inc. (December 2011 – February 2015) Senior Scientist
  • Boston Scientific (June 2008 – August 2008) Research Intern
  • Consolidated Edison Company of New York. June 2006 – August 2006 Research Intern
  • Consolidated Edison Company of New York. June 2005 – November 2005 Research Intern

Academic Appointments

  • Department of Computer Science, University of Washington Tacoma (December 2016 – Current) Affiliate Assistant Professor
  • Faculty of Engineering, Istinye University, Istanbul, Turkey (December 2019 – January 2020) Visiting Associate Professor
  • Indian Institute of Technology, Kanpur, India (November 2016 – November 2018) Visiting Research Scientist
  • Department of Computer Science, University of Minnesota (May 2012 – March 2016) Projects: Evolution and analysis of multiplex social networks; Reconstruction and analysis of historical social networks Research Associate
  • Center for Cognitive Science, University of Minnesota (October 2014 – March 2016) Research Associate
  • GIS Technology Innovation Center, Umm Ul Qura University (February 2015 – August 2015) Project: Behavioral analysis of massive pilgrimage data Research Scientist
  • Department of Computer Science, University of Minnesota (May 2008 – December 2011) Project: Virtual Worlds Observatory: Computational Methods for studying human behaviors in Massive Online Games Research Assistant
  • Minnesota Population Center (September 2006 – May 2008) Project: Machine Learning Methods for Record Linkage in Historical Census Data Research Assistant
  • Center for Advancing the Study of Cyber Infrastructure (CASCI), Rochester Institute of Technology (September 2004 – May 2006) Project: Multi-Media Multi-Relational data mining for image data Research Assistant

Publications

Books

  1. Ahmad, Muhammad Aurangzeb, Cuihua Shen, Jaideep Srivastava, and Noshir . Contractor. Predicting Real World Behaviors from Virtual World Data. Springer, 2014.Details

Book Chapters

  1. Kovalerchuk, Boris, Muhammad Aurangzeb Ahmad, and Ankur Teredesai. “Survey of Explainable Machine Learning with Visual and Granular Methods beyond Quasi-Explanations.” ArXiv Preprint ArXiv:2009.10221, 2020.Details
  2. Teredesai, Ankur M, Muhammad A Ahmad, Juveria Kanodia, and Roger S Gaborski. “CoMMA: a Framework for Integrated Multimedia Mining Using Multi-Relational Associations.” Knowledge and Information Systems 10, no. 2 (2006): 135–62.Details

Conference Papers

  1. Ming Yuan, Muhammad Aurangzeb Ahmad, Vikas Kumar, and Ankur Teredesai. “Fairness in Classification Parity of Machine Learning Models in Healthcare.” AAAI Fall Symposium 2020 on AI for Social Good, November 13, 2020.Details
  2. Padthe, Karthik K., Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, and Ankur Teredesai. “Emergency Department Optimization and Load Prediction in Hospitals.” AAAI Fall Symposium 2020 on AI for Social Good, November 13, 2020.Details
  3. Ahmad, Muhammad A, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, and Ankur Teredesai. “Death vs. Data Science: Predicting End of Life.” In AAAI, 7719–26, 2018.Details
  4. Liu, Eric, Muhammad A Ahmad, Carly Eckert, Anderson Nascimento, Martine De Cock, Karthik Padthe, Ankur Teredesai, and Greg McKelvey. “Automatic Detection of Excess Healthcare Spending and Cost Variation in ACOs.” SIAM, 2018.Details
  5. Ahmad, Muhammad Aurangzeb, Brian Keegan, Atanu Roy, Dmitri Williams, Jaideep Srivastava, and Noshir Contractor. “Guilt by Association? Network Based Propagation Approaches for Gold Farmer Detection.” In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 121–26, 2013.Details
  6. Roy, Atanu, Muhammad Aurangzeb Ahmad, Chandrima Sarkar, Brian Keegan, and Jaideep Srivastava. “The Ones That Got Away: False Negative Estimation Based Approaches for Gold Farmer Detection.” In 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, 328–37. IEEE, 2012.Details
  7. Ahmad, Muhammad Aurangzeb, Brian Keegan, Sophia Sullivan, Dmitri Williams, Jaideep Srivastava, and Noshir Contractor. “Illicit Bits: Detecting and Analyzing Contraband Networks in Massively Multiplayer Online Games.” In 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, 127–34. IEEE, 2011.Details
  8. Ahmad, Muhammad Aurangzeb, Zoheb Borbora, Cuihua Shen, Jaideep Srivastava, and Dmitri Williams. “Guild Play in MMOGs: Rethinking Common Group Dynamics Models.” In International Conference on Social Informatics, 145–52. Springer, 2011.Details
  9. Ahmad, Muhammad Aurangzeb, Brian Keegan, Dmitri Williams, Jaideep Srivastava, and Noshir S Contractor. “Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs.” In ICWSM, 2011.Details
  10. Keegan, Brian, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, and Noshir S Contractor. “Sic Transit Gloria Mundi Virtuali? Promise and Peril in the Computational Social Science of Clandestine Organizing.” Proceedings of the 3rd International Web Science Conference, 2011.Details
  11. Ahmad, Muhammad Aurangzeb, and J Srivastava. “Item Recommendations in Multiple Overlapping Social Networks in MMOs.” In The Third ACM WebSci Conference, Koblenz, Germany June, 14–17, 2011.Details
  12. Ahmad, Muhammad Aurangzeb, Marshall Scott Poole, and J Srivastava. “ The Trust Propensity Prediction Problem.” In The Third ACM WebSci Conference, Koblenz, Germany June, 2011.Details
  13. Ahmad, Muhammad Aurangzeb, and Jaideep Srivastava. “Models of Social Capital for Predicting Success in MMOs.” In The Third ACM WebSci Conference, Koblenz, Germany June, 2011.Details
  14. Ahmad, Muhammad Aurangzeb, and J Srivastava. “Models of Social Capital for Predicting Success in MMOs.” In The Third ACM WebSci Conference, Koblenz, Germany June, 2011.Details
  15. Ahmad, Muhammad Aurangzeb, David Huffakar, Jing Wang, Jeff Treem, Marshall Scott Poole, and Jaideep Srivastava. “GTPA: A Generative Model for Online Mentor-Apprentice Networks.” In Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010.Details
  16. Ahmad, Muhammad Aurangzeb, and Mohamed Elidrisi. “Opponent Classification in Poker.” In International Conference on Social Computing, Behavioral Modeling, and Prediction, 398–405. Springer, 2010.Details
  17. Ahmad, Muhammad Aurangzeb, and Xin Zhao. “COLBERT: a Scoring Based Graphical Model for Expert Identification.” In International Conference on Social Computing, Behavioral Modeling, and Prediction, 180–88. Springer, 2010.Details
  18. Keegan, Brian, Muhammad Aurangzeb Ahmed, Dmitri Williams, Jaideep Srivastava, and Noshir Contractor. “Dark Gold: Statistical Properties of Clandestine Networks in Massively Multiplayer Online Games.” In 2010 IEEE Second International Conference on Social Computing, 201–8. IEEE, 2010.Details
  19. Xiong, Li, Marshall Scott Poole, Dmitri Williams, and Muhammad A Ahmad. “The Effects of Group Structure on Group Outcomes in an Online Game,” 2006.Details
  20. Ahmad, Muhammad A, and Ankur Teredesai. “Modeling Spread of Ideas in Online Social Networks.” In Proceedings of the Fifth Australasian Conference on Data Mining and Analystics-Volume 61, 185–90, 2006.Details

Journal Papers

  1. Kim, Young Ae, and Muhammad A Ahmad. “Trust, Distrust and Lack of Confidence of Users in Online Social Media-Sharing Communities.” Knowledge-Based Systems 37 (2013): 438–50.Details
  2. Borbora, Zoheb Hassan, Muhammad Aurangzeb Ahmad, Jehwan Oh, Karen Zita Haigh, Jaideep Srivastava, and Zhen Wen. “Robust Features of Trust in Social Networks.” Social Network Analysis and Mining 3, no. 4 (2013): 981–99.Details
  3. Wang, Jing, David A Huffaker, Jeffrey W Treem, Lindsay Fullerton, Muhammad A Ahmad, Dmitri Williams, Marshall Scott Poole, and Noshir Contractor. “Focused on the Prize: Characteristics of Experts in Massive Multiplayer Online Games.” First Monday, 2011.Details
  4. Kang, James M, Muhammad Aurangzeb Ahmad, Ankur Teredesai, and Roger Gaborski. “Cognitively Motivated Novelty Detection in Video Data Streams.” In Multimedia Data Mining and Knowledge Discovery, 209–33. Springer, 2007.Details

Tutorials

  • Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, and Ankur Teredesai. “Fairness in Machine Learning for Healthcare.” In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3529-3530. 2020.
  • Muhammad Aurangzeb Ahmad, Şener Özönder. “Physics inspired models in artificial intelligence.” In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3535-3536. 2020.
  • Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai Deep Explanations in Machine Learning via Interpretable Visual Methods PAKDD 2020 Singapore June 11-16, 2020
  • Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai, Vikas Kumar Interpretable Machine Learning: What Clinical Informaticists Need to Know Clinical Informatics Conference, AMIA Atlanta, GA April 30, 2019
  • Ankur Teredesai, Dr. Carly Eckert M.D., Muhammad Aurangzeb Ahmad, Vikas Kumar Explainable Machine Learning Models for Healthcare AI September 26, 2018 ACM Seminar
  • Muhammad Aurangzeb Ahmad, Dr. Carly Eckert M.D., Ankur Teredesai, Vikas Kumar Explainable Models for Healthcare AI KDD London, United Kingdom August 19-23, 2018
  • Muhammad Aurangzeb Ahmad, Dr. Carly Eckert M.D., Ankur Teredesai, Vikas Kumar Interpretable Machine Learning in Healthcare International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2018, August 29 - September 01, 2018 Washington, DC, USA.
  • Muhammad Aurangzeb Ahmad, Dr. Carly Eckert M.D., Ankur Teredesai, Vikas Kumar Interpretable Machine Learning in Healthcare 2018 IEEE International Conference on Healthcare Informatics 4-7 June, New York, NY, USA.
  • Muhammad Aurangzeb Ahmad, Jaideep Srivastava Behavioral Mining, Cultural Differences and Social Network Analysis in Massive Online Games International Social Computing, Behavioral Modeling and Prediction (SBP15) UCDC Center, Washington DC, USA March 31, 2015
  • Muhammad Aurangzeb Ahmad, Jaideep Srivastava Behavioral Data Mining and Network Analysis in Massive Online Games The 7th ACM WSDM Conference (WSDM2014) New York City, February 24-28, 2014.
  • Muhammad Aurangzeb Ahmad, Jaideep Srivastava Mining and SNA in Massive Online Games International Conference of Web and Social Media ICWSM, Boston, MA July 11, 2013
  • Brian Keegan, Muhammad Aurangzeb Ahmad, Sophia Sullivan, Dmitri Williams, Jaideep Srivastava, Noshir Contractor Untangling Dark Webs: Theories, Methods, and Models for a Computational Social Science of Clandestine Networks. Third IEEE International Conference on Social Computing, (IEEE SocialCom 2011) Boston, MA
  • Jaideep Srivastava, Muhammad Aurangzeb Ahmad, Nishith Pathak, David Kwo-Wei Hsu Data Mining for Social Network Analysis 9th international conference on Web-Age Information Management (WAIM 2008) Zhangjiajie, China
  • Jaideep Srivastava, Muhammad Aurangzeb Ahmad, Nishith Pathak, David Kwo-Wei Hsu Data Mining based Social Network Analysis from Online Behavior SDM April 2008 Georgia, Atlanta
  • Jaideep Srivastava, Nishith Pathak, Sandeep Mane, Muhammad Aurangzeb Ahmad Data Mining and Social Network Analysis ICDM 2006 Hong Kong, China

Invited Papers

  • Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai, Greg McKelvey Interpretable Machine Learning in Healthcare IEEE Intelligent Informatics Bulletin August 2018
  • Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, Noshir Contractor. 2011. What can gold farmers teach us about criminal networks? XRDS 17, 3 (March 2011), 11-15. [Link]

Workshop Papers

  • Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai The Challenge of Imputation in Explainable Artificial Intelligence Models. Macau, China AISafety Workshop at IJCAI 2019
  • Zoheb Borbora, Muhammad Aurangzeb Ahmad, Karen Zita Haigh, Jaideep Srivastava, Zhen Wen Exploration of Robust Features of Trust Across Multiple Social Networks. SASO Workshops 2011: 27-32 [Link]
  • Muhammad Aurangzeb Ahmad, Iftekhar Ahmad, Jaideep Srivastava, Marshall Poole Trust me, I ‘m an Expert: Trust, Homophily and Expertise in MMOs IEEE SocialCom 2011 Boston, MA October 9-11, 2011 [Link]
  • Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, Noshir Contractor. (2011). Mapping Gold Farming Back to Offline Clandestine Organizations: Methodological, Theoretical, and Ethical Challenges. Game Behind the Game. (Best Paper Award)
  • Muhammad Aurangzeb Ahmad, Zoheb Borbora, Jaideep Srivastava, Noshir Contractor Link Prediction Across Multiple Social Networks Domain Driven Data Mining Workshop (DDDM2010), ICDM 2010 Sydney, Australia [Link]
  • Muhammad Aurangzeb Ahmad, David Huffaker, Jing Wang, Jeff Treem, Dinesh Kumar, Marshall Scott Poole, Jaideep Srivastava, The Many Faces of Mentoring in an MMORPG IEEE Social Computing (SocialCom-10). Workshop on Social Intelligence in Applied Gaming. Minneapolis, MN, USA, August 20-22, 2010 [Link]
  • Muhammad Aurangzeb Ahmad, Marshall Scott Poole, Jaideep Srivastava, Network Exchange in Trust Networks IEEE Social Computing (SocialCom-10). Workshop on Social Intelligence in Applied Gaming. Minneapolis, MN, USA, August 20-22, 2010 [Link]
  • Muhammad Aurangzeb Ahmad, Brain Keegan, Jaideep Srivastava, Dmitri Williams, Noshir Contractor, Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGS Proceedings of the 2009 IEEE Social Computing (SocialCom-09). Symposium on Social Intelligence and Networking (SIN-09). Vancouver, Canada, August 29-31, 2009 [Link]
  • Kyong Jin Shim, Muhammad Aurangzeb Ahmad, Nishith Pathak, Jaideep Srivastava, Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs) Proceedings of the 2009 IEEE Social Computing (SocialCom-09). Workshop on Social Intelligence in Applied Gaming. Vancouver, Canada, August 29-31, 2009 [Link]
  • David Huffaker, Annie Wang, Jeff Treem, Muhammad Aurangzeb Ahmad, Lindsay Fullerton, Dmitri Williams, Scott Poole, Noshir Contractor. The Social Behaviors of Experts in Massive Multiplayer Online Role-playing Games. Proceedings of the 2009 IEEE Social Computing (SocialCom-09). Symposium on Social Intelligence and Networking (SIN-09). Vancouver, Canada, August 29-31, 2009 [Link]
  • Muhammad Aurangzeb Ahmad, Jaideep Srivastava An Ant Colony Optimization Approach to Expert Identification in Social Networks First International Workshop on Social Computing, Behavioral Modeling, and Prediction Phoenix, Arizona April, 2008 [Link]
  • Muhammad Aurangzeb Ahmad Concepts as Actions-Oriented as ‘Search’ NA-CAP 2007, Layola University, Chicago, IL July 2007 [Link]
  • Muhammad Aurangzeb Ahmad, Ankur Teredesai Domain Independent Integrated Multimedia Data Mining is a Frivolous Exercise: Classicism vs. Connectionism Debate Revisited Second International Workshop on Philosophy and Informatics (WSPI 2005) Kaiserslautern, Germany. Also published in WM2005: Professional Knowledge Management Experiences and Visions, Klaus-Dieter Althoff, Andreas Dengel, Ralph Bergmann, Markus Nick, and Thomas Roth-Berghofer (Eds.), 587-594 ISBN 3-00-016020-5, DFKI GmbH, 2005 [Link]
  • Ankur Teredesai, Muhammad Aurangzeb Ahmad, Juveria Kanodia, Roger Gaborski CoMMA: Combing Multimedia Multi-relational Associations The 7th ACM SIGKDD Workshop on Multimedia Data Mining, Seattle, WA, USA, August 2004

Conference Abstracts

  • Eckert, Carly, Neris Nieves-Robbins, Elena Spieker, Tom Louwers, David Hazel, James Marquardt, Keith Solveson, Anam Zahid, Muhammad Ahmad, Richard Barnhill, T. Greg McKelvey, Robert Marshall, Eric Shry, Ankur Teredesai. “Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.” Applied clinical informatics 10, no. 02 (2019): 316-325.
  • Eckert, C., M. Ahmad, K. Zolfaghar, G. McKelvey, C. Carlin, and D. Lowe. “S45 Predicting likelihood of emergency department admission prior to triage: utilising machine learning within a COPD cohort.” (2018): A28-A28.
  • Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai, Greg McKelvey Machine Learning Based Explanations to Support Risk of Readmission Prediction Models AIMed 2017 Laguna Niguel, CA December 11-14, 2017
  • Muhammad Aurangzeb Ahmad, Carly Eckert Machine Learning in the Prediction of Organ Transplant Processes AIMed 2017 Laguna Niguel, CA December 11-14, 2017
  • Matthew Eckert, Muhammad Aurangzeb Ahmad Deep Learning and Thermal Imaging Technology in the Detection of Surgical Site Infection AIMed 2017 Laguna Niguel, CA December 11-14, 2017
  • Xinran Liu, Carly Eckert, Muhammad Aurangzeb Ahmad Development of Sepsis Prediction Algorithm for Clinical Use AIMed 2017 Laguna Niguel, CA December 11-14, 2017
  • Using Machine learning to predict Hospital acquired Sepsis Xinran Liu, Greg McKelvey, Muhammad Aurangzeb Ahmad, Rosemary Grant, David Carlbom AMIA 2017 Annual Symposium Washington, DC November 4 – 8, 2017
  • Muhammad Aurangzeb Ahmad, Jaideep Srivastava Dynamics of MMO Social Networks: Inconsistent Densification and non-shrinking Diameters June 2-6, 2014 NetSci Berkeley, CA
  • Muhammad Aurangzeb Ahmad Construction and Analysis of Hadith Networks: World’s Oldest Large-Scale Social Network Sunbelt XXXIV February 18 – February 23, 2014 St. Pete Beach, FL
  • Muhammad Aurangzeb Ahmad Information Network Analysis meets Islamic Studies: Case study from the Analysis of the Hadith Literature Society for the Scientific Study of Religion Annual Conference. Boston, MA November 7, 2013
  • Muhammad Aurangzeb Ahmad, Jaideep Srivastava, Noshir Contractor The Generalizer’s Dilemma: How Social Network in MMOG’s are different from ‘Normal’ Social Networks Sunbelt XXXII March 12-18, 2012 Redondo Beach, CA
  • Nishith Pathak, Muhammad Aurangzeb Ahmad, Kyong Jin Shim, Jaideep Srivastava Analyzing network motif signatures in large social network data Sunbelt XXXII March 12-18, 2012 Redondo Beach, CA
  • Zoheb Borbora, Muhammad Aurangzeb Ahmad, Karen Zita Haigh, Jaideep Srivastava Robust Features for Link Prediction in MMOGs Sunbelt XXXII March 12-18, 2012 Redondo Beach, CA
  • Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, Noshir Contractor. (2011). Using ERGMs to Map Online Clandestine Behavior to Offline Criminal Activity. Sunbelt (XXXI) Florida
  • Jing Wang, David Huffaker, Jeff Treem, Lindsay Fullerton, Muhammad Aurangzeb Ahmad, Dmitri Williams, Marshall Scott Poole and Noshir Contractor Focused on the Prize: Characteristics of Experts in Virtual Worlds The 59th Annual International Communications Association Conference Chicago 2009.
  • Muhammad Aurangzeb Ahmad, Nishith Pathak, Rakesh Ramakrishnan, Jaideep Srivastava, Social Network Based Churn Analysis in a Virtual World International Sunbelt Social Network Conference (XXIX), San Diego, CA. March 14, 2009
  • Muhammad Aurangzeb Ahmad, David Huffaker, Jing Wang, Jeff Treem, Lindsay Fullerton, Marshall Scott Poole, Noshir Contractor, Social and Collaboration Networks in Multiplayer Online games International Sunbelt Social Network Conference (XXIX), San Diego, CA. March 14, 2009
  • Young Ae Kim, Muhammad Aurangzeb Ahmad, Jaideep Srivastava, A Technique for Inferring Trust in Recommendation Systems International Sunbelt Social Network Conference (XXIX), San Diego, CA. March 14, 2009
  • Nisith Pathak, Muhammad Aurangzeb Ahmad, David Kuo-Wei Hsu, Young Ae Kim, Jaideep Srivastava. Computational models for inferring trust, social capital and efficiently tracking community evolution in a virtual world The 94th Annual National Communications Association Conference, San Diego 2008

Technical Reports

  • Muhammad Aurangzeb Ahmad Towards the Analysis of Narrative Networks CSE Technical Report 13-017 Department of Computer Science, University of Minnesota May 23, 2013 [Link]
  • Young Ae Kim, Marla E. Eisenberg, Muhammad Aurangzeb Ahmad, Jaideep Srivastava Modeling Trust in Online Social Networks to Improve Adolescent Health Behavior, CSE Technical Report 10-018 Department of Computer Science, University of Minnesota August 18, 2010 [Link]
  • Young Ae Kim, Muhammad Aurangzeb Ahmad, Jaideep Srivastava, Soung Hie Kim, Role of Computational Trust Models in Service Science (January, 05 2009) KAIST Business School Working Paper No. 2009-002. [Link]
  • Muhammad Aurangzeb Ahmad, Brian Keegan, Jaideep Srivastava, Dmitri Williams, Noshir Contractor Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs CSE Technical Report 09-016 Department of Computer Science, University of Minnesota May 22, 2009 [Link]
  • Kyong Jin Shim, Muhammad Aurangzeb Ahmad, Nishith Pathak, Jaideep Srivastava Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs) CSE Technical Report 09-014 Department of Computer Science, University of Minnesota May 20, 2009 [Link]

Encyclopedia Articles

  • Brian Keegan, Muhammad Aurangzeb Ahmad Dark Sides of Social Networking Encyclopedia of Social Network Analysis and Mining Edited by Reda Alhajj and Jon Rokne Springer Verlag 2014

Invited Talks

  • Muhammad Aurangzeb Ahmad Requirements and Limits of Explainable AI in Healthcare, AI Everything Conference Dubai, UAE March 11, 2020
  • Muhammad Aurangzeb Ahmad Foundations of Interpretable Machine Learning at Chan Zuckerberg Initiative Redwood City, CA February 14, 2020
  • Muhammad Aurangzeb Ahmad Social Sciences in the age of Machine Learning and AI Istanbul Medeniyet University Istanbul, Turkey December 26, 2019
  • Muhammad Aurangzeb Ahmad Algocracy: What role can Social Sciences play in regulating AI Istanbul Medeniyet University Istanbul, Turkey December 26, 2019
  • Muhammad Aurangzeb Ahmad Using AI to Simulate the Dead Washington State Historical Society Museum Tacoma, WA. October 17, 2019
  • Muhammad Aurangzeb Ahmad The Challenge of Algorithmic Fiqh Foundation for Sciences and Arts Istanbul, Turkey February 26, 2019
  • Muhammad Aurangzeb Ahmad Holding Machine Learning Systems Accountable via Explanations Istanbul Technical University, Istanbul, Turkey February 22, 2019
  • Muhammad Aurangzeb Ahmad Do Algorithms Have Politics? King Abdul Aziz University Jeddah, Saudi Arabia February 22, 2019
  • Muhammad Aurangzeb Ahmad Foundations of Machine Learning Maldives Ministry of Communication, Science and Technology Machine Learning Workshop, Male, Maldives February 17, 2019
  • Muhammad Aurangzeb Ahmad Accountability of Artificial Intelligence Systems Inaugural Annual Lecture of the Maldives Ministry of Communication, Science and Technology initiated Science and Technology Lecture Series, Maldives National University, Male, Maldives February 16, 2019
  • Muhammad Aurangzeb Ahmad Imagining Islamicate Futures Dubai Future Foundation Dubai, UAE November 1, 2018
  • Muhammad Aurangzeb Ahmad The Fiqh of Algorithms Dubai Islamic Bank Dubai, UAE Sun Oct 28, 2018
  • Muhammad Aurangzeb Ahmad Explainability for Accountability in Healthcare AI Qatar Computing Research Institute Doha, Qatar October 22, 2018
  • Muhammad Aurangzeb Ahmad Using Machine Learning to Build an Intellectual History of Humankind Bothell Library Bothell, WA September 16, 2018
  • Muhammad Aurangzeb Ahmad Towards a Universal Network History of Human-kind Washington State Historical Society Museum Tacoma, WA. January 18, 2018
  • Muhammad Aurangzeb Ahmad How Will Artificial Intelligence Transform Healthcare? Techstars Startup Week Seattle Seattle, WA. October 5, 2017
  • Muhammad Aurangzeb Ahmad The Generalizer’s Dilemma: What Network Science Can Learn from MMO Games Program, Game Design Department, Northeastern University Boston, MA. July 5, 2013
  • Muhammad Aurangzeb Ahmad Trust in MMORPGs Social Media in Strategic Communication, DARPA Program Washington D.C. March 7, 2012
  • Muhammad Aurangzeb Ahmad Social Behavior and Online Games Minnesota Arab American Engineers Association Minneapolis, MN. February 18, 2012

Invited Panels

  • Global AI Narratives: Middle East and North Africa Cairo, Egypt October 13-14, 2019
  • Global AI Governance Forum World Government Summit Dubai, UAE February 2, 2019
  • 21st Century Art: The Future of Art Ginny Rufner, Michael Tyka, Allen Loucks, Timea Thuani, Eric Salisbury, Muhammad Aurangzeb Ahmad, Ty Showers, MIT Enterprise Forum Northwest Seattle, WA January 16, 2019
  • Innovation at The Edges Ahmed Daoud, James Faghmous, Muhammad Aurangzeb Ahmad, Sofie Lindblom Global Islamic Economy Summit (GIES) 2018 Dubai, UAE October 31, 2018 Patents
  • Muhammad Aurangzeb Ahmad, Brian Keegan, Dmitri Williams, Jaideep Srivastava, Noshir Contractor Automatic Detection of Deviant Players in MMORPGs Gold Farming (Patent Pending)
  • Xianting Dong, Deepa Mahajan, Muhammad Aurangzeb Ahmad Systems and Methods for Programming Implantable Medical Devices (Patent #8346369, March 21, 2012)

Teaching Experience

  • Machine Learning University of Washington – Bothell (2020)
  • Machine Learning University of Washington – Bothell (2019)
  • Machine Learning University of Washington – Tacoma (2019)
  • Advanced Machine Learning Professional and Continuing Education University of Washington (2018)
  • Research Seminar in Data Science University of Washington – Tacoma (2017)
  • Teaching Assistant: Principles of Databases CSCI 5707. University of Minnesota (2008, 2009)
  • Teaching Assistant: Advanced Data Mining Course. Rochester Institute of Technology. (2004, 2005, 2006)
  • Teaching Assistant: Data Mining. Rochester Institute of Technology. (2004, 2005, 2006)

Academic Honors

  • Computing Research Association (CRA)’s Outstanding Undergraduate Research Award 2006: Honorable Mention
  • Nominated for the Krause Award for Best Undergraduate Paper at RIT (2003)
  • Jones Physics Prize 1998 (Government College Lahore, Pakistan)

Product of Engaged Scholarship (Public Writings)

  • My App Says That You Are Lying: The Future Of Misinformation 3 Quarks Daily July 3, 2017
  • Data Nihilsm And Agnothology 3 Quarks Daily January 30, 2017
  • Data Science And 2016 Presidential Elections 3 Quarks Daily December 19, 2016
  • Do The Right Thing And Leave Judgment To Algorithms 3 Quarks Daily November 7, 2016
  • Modeling Artificial And Real Societies 3 Quarks Daily August 22, 2016
  • Algocracy: Outsourcing Governance To Algorithms 3 Quarks Daily July 18, 2016
  • Here Is Waldo: Anonymity In The Age Of Big Data 3 Quarks Daily April 25, 2016

Conference and Workshop Organization

  • Co-Chair AI for Social Good Symposium - AAAI Fall Symposium 2020 Virtual, November 13-14, 2020
  • Panel Organizer Computational Social Science: Anthropocentric to a Post-anthropocentric Future A Posthuman Age? Science Technology and the Future of Civilizations Ibn Haldun University, Istanbul, Turkey 18-19 April 2020
  • Panel Organizer CRAFT Panel on Fairness, Accountability, Transparency in AI at Scale: Lessons from National Programs ACM FAT Conference Barcelona, Spain January 30, 2020
  • Co-Chair AI for Social Good Symposium - AAAI Fall Symposium 2019 Washington D.C., November 7-9, 2019
  • Organizing Committee KDD workshop on Applied data science in Healthcare: bridging the gap between data and knowledge Anchorage, AK August 6, 2019
  • Co-Chair Health Day KDD Health Day 2019 Anchorage, AK August 5, 2019
  • Organizing Committee KDD Workshop on Machine Learning for Medicine and Healthcare London, United Kingdom August 20, 2018
  • Program Committee ICDM-2016 Workshop on Data Mining Systems and their Applications on the Cloud (CLOUDMINE) Barcelona, Spain December 12-15, 2016
  • Program Committee The 20th International Conference on Database Systems for Advanced Applications April 20-23, 2015, Hanoi, Vietnam DASFAA 2015
  • Organizing Committee Agents, Virtual Societies and Analytics Workshop co-located with 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014) May 5th-6th, 2014 Paris, France
  • Conference Chair International Workshop on Predicting Real World Behaviors from Virtual World Data (RWVW-2013) Washington DC. September 9-12, 2013
  • Program Committee 6th International AAAI Conference on Weblogs and Social Media (ICWSM) 4-8 June, 2012
  • Program Committee Social Network Analysis in Applications (SNAA 2012) Advances in Social Networks Analysis and Mining (ASONAM 2012) 26-29 August 2012
  • Co-organized with Arun Saldhana the Time and Embodied Cognition Symposium (April 25, 2008) at the Institute of Advanced Studies in University of Minnesota

Media Coverage

  • Discussion on Future of Bereavement BBC Radio News Hour February 24, 2020
  • Digitising death: Can Griefbots help us manage bereavement? Indian Express August 29, 2019
  • How the world of death and funerals has become fashionable through digital culture The Independent March 27, 2018
  • On the psychological value of “griefbots” BoingBoing March 24, 2018
  • Can Bots Help Us Deal with Grief? Evan Selinger Medium March 13, 2018
  • Welcome to Life After Death Nation Swell February 23, 2018
  • Death-tech and the future of death – exploring what it means to live and die Richard van Hooijdonk November 2, 2017
  • El hombre que quiere devolver la vida a los muertos La Razón November 1, 2017
  • Geek of the Week: Data scientist Muhammad Ahmad’s many pursuits include AI, art and simulations of dead people Geekwire January 27, 2017
  • Death in the future may not be the final goodbye Belfast News Letter November 19, 2016
  • Have breakfast with your DEAD spouse – how Virtual Reality will change perception of death Express November 15, 2016
  • Would you bring your dead spouse back to life with VR? Researchers say simulations are the ‘evolution of bereavement’ DailyMail November 14, 2016
  • Best Paper Award for Professor Srivastava and Muhammad Ahmed Computer Science and Engineering News University of Minnesota July 7, 2011
  • Ahmad and Srivastava find similarities between gold farming networks and drug dealing networks Computer Science and Engineering News University of Minnesota August 5, 2010
  • Farmerzy w grach MMO tak samo grozni, jak handlarze narkotykow? Gry Komputerowe (In Polish) July 27, 2010
  • Gold Farmers, Gangs and RMT Aniegama (In Japanese) July 26, 2010
  • Gold Farmers Mimic Behavior of Drug Dealers The Escapist July 23, 2010
  • Gold farmers ‘operate like criminal gangs’ Gamezine July 23, 2010
  • Gold Farming Research Digs Up Similarities With Drug Dealers Kotaku July 23, 2010
  • Onderzoek: ‘Gold Farmers lijken op drugsdealers en straatbendes’ Gamez (In Dutch) July 23, 2010
  • Similarities between gold farming networks and drug dealing networks BoingBoing July 22, 2010
  • Science gleans 60TB of behavior data from Everquest 2 logs Ars Technica February 15, 2009

External Reviews

  • Conferences: ACM KDD, IEEE ICDM, PAKDD, ICWSM, ACM-SAC
  • Journals: Network Science

Professional Affiliations

  • American Association of Artificial Intelligence (AAAI)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • Society of Industrial and Applied Mathematics (SIAM)
  • International Network for Social Network Analysis (INSNA)

Programming Languages

Python, Java, R, C/C++, JavaScript

References

Professor Jaideep Srivastava Professor, Department of Computer Science University of Minnesota 200 Union Street SE 5-209 Keller Hall Minneapolis, MN 55455

Professor Ankur M. Teredesai Professor, Computer Science & Systems Institute of Technology University of Washington Tacoma 1900 Commerce St, Tacoma, WA 98402

Professor Marshall Scott Poole Professor, Department of Communication University of Illinois – Urbana-Champaign 3001 Lincoln Hall 702 S. Wright Street Urbana, IL 61801

Professor Noshir Contractor Professor, Department of Behavioral Sciences Northwestern University 2-133, Frances Searle Building 2240 Campus Drive Evanston, IL 60208