• PhD, Electrical and Computer Engineering, Purdue University, West Lafayette, 8/2022
  • MS, Engineering Mathematics, Faculty of Engineering, Cairo University, Cairo, Egypt, 7/2016
  • BS, Electrical and Electronics Engineering, Faculty of Engineering, Cairo University, Cairo, Egypt, 7/2012

Awards & Honors

  • Purdue Bilsland Dissertation Fellowship, Purdue University, 2021
  • Dependable Computing Systems Lab Group Champ Award, Purdue University, 2020
  • Travel Support Awards for attending American Control Conference, 2019
  • Best Fresher in DCSL Research Group, Purdue University, 2017
  • M.Sc. fellowship, Faculty of Engineering, Cairo University, 2012 − 2016
  • Best Computer Engineering Graduation Project of the year, Smart Village, Egypt, 2012
  • Undergraduate Academic Outstanding Award from the Egyptian Government, 2010

Professional Experience

  • Research Assistant; School of Electrical and Computer Engineering, Purdue University, Aug. 2017 − Aug. 2022
  • Data Science Research Intern; Adobe Research, San Jose, CA, May 2021 − Aug. 2021
  • Data and Operations Research Scientist Intern; Principal Financial Group, Des Moines, Iowa, May 2020 − Aug. 2020
  • Research and Teaching Assistant; Engineering Mathematics and Physics Dept., Cairo University, 2012 – 2017
  • Part-time R&D Machine Learning Engineer; Engineering Company for Digital Systems Development (RDI), Giza, Egypt, 2012 – 2017
  • Summer Intern; National Telecommunications Regulatory Authority (NTRA), Egypt, Jun. 2011 − Sep. 2011

Selected Publications

Journal Papers

  • M. Abdallah, P. Naghizadeh, A. Hota, T. Cason, S. Bagchi, and S. Sundaram,“Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs,” IEEE Transactions on Control of Network Systems (TCNS) (Impact Factor: 4.802), vol. 7, no. 4, pp. 1585-1596, December 2020.
  • D. Woods, M. Abdallah, S. Bagchi, S. Sundaram, and T. Cason, “Network Defense and Behavioral Biases: An Experimental Study,” Experimental Economics Journal (Impact Factor: 2.367), 25(1), PP. 254-286, February 2021.
  • B. Chatterjee, D. Seo, S. Chakraborty, S. Avlani, X. Jiang, H. Zhang, M. Abdallah, N. Raghunathan, C. Mousoulis, A. Shakouri, S. Bagchi, D. Peroulis, and S. Sen,“Context Aware Collaborative-Intelligence with Spatio-Temporal In Sensor-Analytics for Efficient Communication in a Large-Area IoT Testbed,” IEEE Internet of Things Journal (IoT-J) (Impact Factor: 9.936), vol. 8, no. 8, pp. 6800-6814, April 2021.
  • M. Abdallah, A. Mahgoub, S. Bagchi, and S. Chaterji, “Athena: Automated Tuning of Genomic Error Correction Algorithms using Language Models,” Nature Scientific Reports (Impact Factor: 4.525), vol. 9, no. 1, 2019.

Conference Papers

  • M. Abdallah, R. Rossi, K. Mahadik, H. Zhao, S. Kim, H. Wang, and S. Bagchi, “AutoForecast: Automatic Time-Series Forecasting Model Selection,” Accepted to appear at the 31st ACM International Conference on Information and Knowledge Management Conference (CIKM), October 2022.
  • X. Li, M. Abdallah, S. Suryavansh, M. Chiang, K. T. Kim, and S. Bagchi, “DAG-based Task Orchestration for Edge Computing,” Accepted to appear at the 41st International Symposium on Reliable Distributed Systems (SRDS), pp. 1–14, September 2022 (Acceptance rate: 24/104 = 23.1%)
  • M. Abdallah, D. Woods, P. Naghizadeh, I. Khalil, T. Cason, S. Sundaram, and S.
    Bagchi,“TASHAROK: Using Mechanism Design for Enhancing Security Resource Allocation in Interdependent Systems,” Proceedings of the 43rd IEEE Symposium on Security and Privacy (S&P) (Acceptance rate: 57/407 = 14.0% in 3rd cycle), May 2022.
  • M. Abdallah, D. Woods, P. Naghizadeh, I. Khalil, T. Cason, S. Sundaram, and S.
    Bagchi,“Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems,” Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security (ASIACCS), pp. 378-392 (Acceptance rate: 29/157 = 18.47%), May 2021.
  • M. Abdallah, P. Naghizadeh, T. Cason, S. Bagchi, and S. Sundaram,“Protecting Assets with Heterogeneous Valua tions under Behavioral Probability Weighting,” IEEE Conference on Decision and Control (CDC), pp. 5374- 5379, 2019.
  • M. Elaraby, M. Abdallah, S. Abdou, and M. Rashwan, “A Deep Neural Networks Based models for a Computer Aided Pronunciation Learning System,” International Conference on Speech and Computer (SPECOM), Springer Proceedings, pp. 51-58, 2016.


Game Theory, Human Decision-Making, Cybersecurity, Machine Learning, Anomaly Detection, and Speech Recognition


Human-in-the-Loop AI, Meta-learning, Edge Computing, Time-series Forecasting, and Safety of Autonomous Driving Systems