Mustafa Abdallah
Mustafa Abdallah
Courtesy Appointment as an Assistant Professor
abdalla0@purdue.edu
765-495-7801
ET 201J
Mustafa Abdallah is a tenure-track assistant professor at Computer and Information Technology (CIT) department at Purdue University in Indianapolis. He has also a courtsey appointment at CIT department at Purdue Polytechnique Institute. Before joining Purdue, he has been a tenure-track assistant professor at CIT department at IUPUI since August 2022. He earned his PhD from the Elmore Family School of Electrical and Computer Engineering at Purdue University in July 2022. His PhD research focused at predicting the effects of human decision-making biases in securing cyber-physical systems (CPS) and designing practical learning algorithms to mitigate such effects.
Dr Abdallah's research interests include game theory, behavioral decision-making, explainable AI, meta-learning, and deep learning, with applications including proactive security of CPS, anomaly detection in internet of things (IoT) and autonomous driving systems, and network intrusion detection. Aspects of his research contributions have been recognized by a Bilsland Fellowship from Purdue University, which is awarded to students of the highest academic and professional caliber department-wide. His research work appeared in premium security conferences and prestigious cybersecurity and AI journals, including IEEE S&P, IEEE TCNS, ACM AsiaCCS, IEEE IoT-J, Computers & Security, ACM TKDD, ACM CIKM, IEEE ACCESS, IEEE SRDS, IEEE CDC, and among others. He has also received several travel grants from IEEE conferences and two internal grants from IUPUI.
During his career thus far, Dr. Abdallah has had several experiences for conducting industrial research. First, he was a data science research intern at Adobe Research during summer 2021 in which he proposed a meta-learning approach for automating time-series forecasting model selection pipelines for reducing cloud costs. Second, during summer 2020, he worked as data and operations research scientist at Principal Financial Group where I developed Kalman filter model to predict future financial status of the companies for enhanced financial asset allocation. Third, he worked as part-time R&D engineer in RDI company (in Egypt) for five years where I had experience on applying deep learning techniques for enhancing the performance of computer aided pronunciation systems for several products. Such experiences led to US patent, several research papers, and expanded his network of collaborators.
Education:
- 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
- Editor’s Choice Article, Sensors, 2024
- 1st Year Research Immersion Program (1RIP) Award, Office of the Vice Chancellor for Research, IUPUI, 2023
- EMPOWER Award, Office of the Vice Chancellor for Research, IUPUI, 2023
- 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
(A) Selected Publications
Journal Papers
- M. R. Al-Eiadeh, and M. Abdallah, “GeniGraph: Genetic-based Novel Security Resource Allocation Methods for Interdependent Systems Modeled by Attack Graphs,” Computers & Security Journal (Impact Factor: 5.6), vol. 144, pp. 103927, 2024.
- M. R. Al-Eiadeh, R. Qaddoura, and M. Abdallah, “Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection,” Special Issue on Machine-Learning-Based Feature Extraction and Selection, Applied Sciences (Impact Factor: 2.9), vol. 14, no. 12, article 5207, 2024.
- A. Gummadi, C. Napier, and M. Abdallah, “XAI-IoT: An Explainable AI Framework for Enhancing Anomaly Detection in IoT Systems,” IEEE Access Journal (Impact Factor: 4.1), vol. 12, pp. 71024-71054, 2024.
- S. Nazat, O. Arreche, and M. Abdallah, “On Evaluating Black-box Explainable AI Methods for Enhancing Anomaly Detection in Autonomous Driving Systems,” Special Issue on Data Security Approaches for Autonomous Systems, IoT, and Smart Sensing Systems, Sensors (Impact Factor: 3.9), vol. 24, no. 11, article 3515, 2024.
- M. Abdallah, Murat Kantarcioglu, Shaunak D. Bopardikar, Peng Liu, Congmiao Li, and Saurabh Bagchi, “Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions,” Accepted as as a Vision Paper at IEEE Security and Privacy (S&P) Magazine (Impact Factor: 2.9), 2024.
- O. Arreche, I. Bibers, and M. Abdallah, “A Two-Level Ensemble Learning Framework for Enhancing Network Intrusion Detection Systems,” IEEE Access Journal (Impact Factor: 4.1), vol. 12, pp. 83830-83857, 2024.
- O. Arreche, T. Guntur, and M. Abdallah, “XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems,” Special Issue on Network Intrusion Detection and Attack Identification, Applied Sciences (Impact Factor: 2.9), vol. 14, no. 10, article 4170, 2024.
- Md R. S. Azim, T. Cason, and M. Abdallah, “A Quantal Response Analysis of Human Decision-making in Interdependent Security Games Modeled by Attack Graphs,” Accepted as a Journal Paper at IEEE Access Journal (Impact Factor: 4.1), vol. 12, pp. 56159-56178, 2024.
- S. Nazat, L. Li, and M. Abdallah, “XAI-ADS: An Explainable Artificial Intelligence Framework for Enhancing Anomaly Detection in Autonomous Driving Systems,” IEEE Access Journal (Impact Factor: 4.1), vol. 12, pp. 48583-48607, 2024.
- O. Arreche, T. Guntur, J. Roberts, and M. Abdallah, “E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection,” IEEE Access Journal (Impact Factor: 4.1), vol. 12, pp. 23954-23988, 2024.
- M. Abdallah, B. G. Joung, W. J. Lee, C. Mousoulis, N. Raghunathan, A. Shakouri, J. W. Sutherland, and S. Bagchi, “Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets,” Sensors (Impact Factor: 3.8), vol. 23, no. 1, article 486, 2023.
- 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, 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, 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, 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.
- M. Abdallah, A. Moussa, S. Abdou, M. Rashwan, and H. Al-Barhamtoshy, “Automatic Selection of Speech Data based on Confidence Measure,” International Journal of Engineering and Technology (Impact Factor: 1.271), vol. 8, pp. 158-160, 2019.
- M. Al-Marri, H. Raafat, M. Abdallah, S. Abdou, and M. Rashwan,“Computer Aided Qur’an Pronunciation using DNN,” Journal of Intelligent & Fuzzy Systems (Impact Factor: 1.851), vol. 34, no. 5, pp. 3257-3271, IOS Press, 2018.
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 Valuations 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.
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Md R. S. Azim, and M. Abdallah, “A Quantal Response Analysis of Defender-Attacker Sequential Security Games,” Accepted as an invited Session Paper on “Cyber-physical Systems: Resilience, Cybersecurity, and Privacy - Cybersecurity” at IEEE Conference on Decision and Control (CDC), July 2024.
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M. R. Al-Eiadeh, M. Abdallah, “AARA-PR: Asset-Aware PageRank-based Security Resource Allocation Method for Attack Graphs,” Proceedings of Fourth Interdisciplinary Conference on Electrics and Computer (INTCEC 2024), Chicago, IL, USA, June 2024.
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Md R. S. Azim, and M. Abdallah, “A Quantal Response Analysis of Simultaneous Multi-Target Attacker-Defender Security Games,” Proceedings of the Workshop on Game Theory for Network Security (GameNetSec 2024), held in conjunction with the 13th IEEE/IFIP Network Operations and Management Symposium, pp. 24-35, April 2023.
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S. Nazat, and M. Abdallah, “Anomaly Detection Framework for Securing Next Generation Networks of Platoons of Autonomous Vehicles in a Vehicle-to-Everything System,” Proceedings of the 9th ACM Cyber-Physical System Security Workshop (CPSS), held in conjunction with the 13th ACM Asia Conference on Computer and Communications Security (ASIACCS 2023) (Acceptance rate: 6/16 = 37.5%), pp. 24-35, April 2023.
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A. Ahire, and M. Abdallah, “Reinforcement Learning for Enhancing Human Security Resource Allocation in Protecting Assets with Heterogeneous Losses,” Proceedings of the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (ACM SaT-CPS 2023), held in conjunction with the 13th ACM Conference on Data and Application Security and Privacy (CODASPY 2023) (Acceptance rate: 5/10 = 50%), pp. 9-15, February 2023.
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M. Abdallah, and Q. Hu, “Should I Regret More? A Regret-based Multi-round Learning with Behavioral Human Players in a Multi-Target Security Game,” Accepted as a Conference Paper, Invited Session on Cyber-physical Systems, IEEE European Control Conference (ECC), pp. 1592-1597, October 2022.
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M. Abdallah, S. Mitra, S. Sundaram, and S. Bagchi,“HIOA-CPS: Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems,” IEEE Security and Privacy Workshops (SPW), pp. 253-259, 2021.
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M. Abdallah, T. Cason, S. Bagchi, and S. Sundaram, “The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game,” Invited Session on Security and Privacy in Dynamical Systems, IEEE European Control Conference (ECC), pp. 933-938, July 2021.
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M. Abdallah, T. Cason, S. Bagchi, and S. Sundaram, “The Effect of Behavioral Probability Weighting in a Sequential Defender-Attacker Game,” IEEE Conference on Decision and Control (CDC), pp. 3255-3260, December 2020.
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M. Abdallah, P. Naghizadeh, A. R. Hota, T. Cason, S. Bagchi, and S. Sundaram,“The Impacts of Behavioral Probability Weighting on Security Investments in Interdependent Systems,” American Control Conference (ACC), pp. 5260-5265, 2019.
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H. Ahmed, M. Elaraby, A. Moussa, M. Abdallah, and M. Rashwan “Unsupervised Speaker Clustering based on SOM and I-vectors for Speech Recognition Systems,” Third Arabic NLP Workshop, European Chapter of the Association for Computational Linguistics (EACL), pp. 79-83, April 2017.
- M. Abdallah, M. Al-Marri ,S. Abdou, H. Raafat, M. Rashwan, and M. A. El-Gamal, “Improving Holy Qur’an recitation system using Hybrid DNN-HMM approach,” Third International Conference on Applications in Computer Science, Turkey, 2015.
- M. Abdallah, S. Abdou, and M. Rashwan,“Implementing Arabic-based Speech Recognition System on an Android Platform,” The Twelfth Conference on Language Engineering (ESOLEC), Ain Shams University, Egypt, 2012.
Preprints
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M. Abdallah, W. Lee, N. Raghunathan, C. Mousoulis, J. W. Sutherland, and S. Bagchi, “Anomaly Detection through Transfer Learning in Smart Agriculture and Manufacturing IoT Systems,” arXiv preprint arXiv:2102.05814, February 2020.
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M. Abdallah, D. Woods, P. Naghizadeh, I. Khalil, T. Cason, S. Sundaram, and S. Bagchi, “BASCPS: How does behavioral decision making impact the security of cyber-physical systems?,” arXiv preprint arXiv:2004.01958, April 2020
(B) Patents
- R. Rossi, K. Mahadik, M. Abdallah, H. Zhao, S. Kim, and H. Wang, “Automatic Forecasting using Meta Learning,” Patent application filed 10/28/2022, App. #18/050,607, 2022.
(C) Presentations
Oral Presentations
- M. Abdallah, “Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection,” Computing, Communication, Cybersecurity, and Information Technologies Workshop, Computing & Intelligent Systems Summit, Purdue University in Indianapolis, University Library, Indianapolis, IN, May 2024.
- M. Abdallah, “Demystifying AI,” Panel in Academic Chairs Conference 2024 (ACC 2024), The Westin, Indianapolis, IN, February 2024.
- M. Abdallah, “Should I Regret More? A Regret-based Multi-round Learning with Behavioral Human Players in a Multi-Target Security Game,” Invited Session on Cyber-physical Systems, IEEE European Control Conference (ECC), virtual, June 2023.
- M. Abdallah, “Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems,” Empower Research Summary, virtual, May 2023.
- M. Abdallah, “Reinforcement Learning for Enhancing Human Security Resource Allocation in Protecting Assets with Heterogeneous Losses,” ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS), Charlotte, North Carolina, April 2023.
- M. Abdallah, “Enhancing Human Behavioral Decision-making for Security Resource Allocation in Cyber-Physical Systems,” Purdue Polytechnic Holistic Safety and Security (HSS) Group, February 2023.
- M. Abdallah, “AutoForecast: Automatic Time-Series Forecasting Model Selection,” ACM International Conference on Information and Knowledge Management Conference (CIKM), virtual, October 2022.
- M. Abdallah, “TASHAROK: Using Mechanism Design for Enhancing Security Resource Allocation in Interdependent Systems,” IEEE Symposium on Security and Privacy (S&P), virtual, May 2022.
- M. Abdallah, “Effects of Behavioral Decision-making in Game-theoretic Frameworks for Security Resource Allocation in Cyber-Physical Systems,” Invited Talks at Department of Computer Information and Graphics Technology at Indiana University-Purdue University Indianapolis (IUPUI), Department of Electrical and Computer Engineering at University of Akron, Department of Computer Science at Montclair State University, Department of Informatics and Engineering Systems at University of Texas Rio Grande Valley, and the Department of Engineering and Physics at University of Central Oklahoma (UCO), March 2022.
- M. Abdallah, “Automated Tuning of Genomic Error Correction Algorithms using Natural Language Processing” Invited Talk at Department of Orthopaedic Surgery at Massachusetts General Hospital, Harvard Medical School in Boston, virtual, March 2022.
- M. Abdallah, “Effects of Behavioral Decision-making in Game-theoretic Frameworks for Security Resource Allocation in Cyber-Physical Systems,” Invited Talk at National Renewable Energy Laboratory (NREL), virtual, February 2022.
- M. Abdallah, “Linear Regression,” Invited Teaching Talk at the Department of Computer Science at Montclair State University, Montclair, New Jersey, February 2022.
- M. Abdallah, “Artificial Intelligence and Machine Learning Frameworks for Securing Cyber-Physical Systems,” Invited Talk at Lawrence Berkley National Lab (LBNL), January 2022.
- M. Abdallah, “The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game,” IEEE European Control Conference (ECC), virtual, July 2021.
- M. Abdallah, “Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems,” Asia Conference on Computer and Communications Security (ASIACCS), virtual, June 2021.
- M. Abdallah, “HIOA-CPS: Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems,” IEEE Security and Privacy Workshops (SPW), virtual, May 2021.
- M. Abdallah, “Protecting Assets with Heterogeneous Valuations under Behavioral Probability Weighting,” IEEE CDC 2019, Nice, France, December 2019.
- M. Abdallah, “The Impacts of Behavioral Probability Weighting on Security Investments in Interdependent Systems,” 3-minute Rapid-interactive (RI) Session at IEEE ACC 2019, Philadelphia, Pennsylvania, USA, July 2019.
- M. Abdallah, “The Impacts of Behavioral Probability Weighting on Security Investments in Interdependent Systems,” Regular Talk at IEEE American Control Conference (ACC), Philadelphia, Pennsylvania, USA, July 2019.
- M. Abdallah, “BASCPS: How does behavioral decision making impact the security of cyber-physical systems?,” Oral Talk at DCSL Research Group, ECE Department, Purdue University, West Lafayette, USA, March 2018.
- M. Abdallah, “A Deep Neural Networks (DNN) Based models for a Computer Aided Pronunciation Learning System,” International Conference on Speech and Compute (SPECOM), Budapest, Hungary, August 2016.
- M. Abdallah, “Implementing Arabic-based Speech Recognition System on an Android Platform,” The Twelfth Conference on Language Engineering (ESOLEC 2012), Ain Shams University, Egypt, November 2012.
Poster Presentations
- O. Arreche, T. Guntur, and M. Abdallah, “E-XAI: Evaluating Black-Box Explainable AI Frameworks for Network Intrusion Detection,” The Annual CERIAS Information Security Symposium, Purdue University, April 2, 2024.
- M. Abdallah, D. Woods, P. Naghizadeh, I. Khalil, T. Cason, S. Bagchi, and S. Sundaram, “Enhancing Human Behavioral Decision Making for the Security of Cyber-Physical Systems,” Summit on Trusted Autonomy Research and Technology, West Lafayette, Indiana, USA, June 2022.
- 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,” NSF SaTC Meeting, Arlington, Virginia, USA, June 2022.
- M. Abdallah, P. Naghizadeh, A. Hota, T. Cason, S. Bagchi, and S. Sundaram, “Impacts of Behavioral Probability Weighting on Security Investments in Interdependent Systems,” The Annual CERIAS Information Security Symposium, Purdue University (virtual), September 21, 2020.
- M. Abdallah, “Kalman Filter Application for Financial Distress Prediction,” Intern Poster Session, Principal Financial Group, August 13, 2020.
- M. Abdallah, W. Lee, N. Raghunathan, C. Mousoulis, J. W. Sutherland, and S. Bagchi, “Anomaly Detection and Transferring Learning across sensors in IoT system,” SMART Industry Day, Birck Atrium, Purdue University, December 5, 2019.
- M. Abdallah, X. Wang, P. Naghizadeg, T. Cason, S. Bagchi, and S. Sundaram “BASCPS: Behavioral Decision Making in Security Games for Protecting Multi-Defender Cyber Physical Systems,” NSF SaTC Meeting, October 2019.
- M. Abdallah, P. Naghizadeh, A. Hota, T. Cason, S. Bagchi, and S. Sundaram, “Impacts of Behavioral Probability Weighting on Security Investments in Interdependent Systems,” The Annual CERIAS Information Security Symposium, Purdue University, April 9, 2019.
- H. Zhang, M. Abdallah, X. Jiang, N. Raghunathan, and S. Bagchi, “Reliable and Energy Efficient Wireless Mesh Network and Data Visualization,” SMART Industry Day, Birck Atrium, Purdue University, November 18, 2018.
- M. Abdallah, A. Hota, T. Cason, S. Bagchi, and S. Sundaram,“The Impact of Behavioral Probability Weighting on Security Investments in Interdependent Systems,” 7th Midwest Workshop on Control and Game Theory, Michigan State University (MSU), Michigan, April 28-29, 2018.
- A. Hota, A. Clements, M. Abdallah, S. Bagchi, and S. Sundaram, “Computational and Behavioral Aspects of Network Security Games,” Northrop Grumman Poster Session, Purdue University, September 13, 2017.
Industry Engagement:
- 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
Professional Affiliations:
Association for Computing Machinery (ACM)
Institute of Electrical and Electronic Engineers (IEEE)
IEEE Computer Society
IEEE Control Systems Society