Publications

 

Journals

  1. Z. Sweidan*, S. Sharafeddine, M. Awad, “RL-based Mobile Edge Computing Scheme for High Reliability Low Latency Services in UAV-aided IIoT Networks,” Ad Hoc Networks, vol. 166, 2025. DOI: 10.1016/j.adhoc.2023.103646
  2. J. Ghanim*, M. Awad, “Unsupervised Anomaly Detection in Electricity Consumption: A Reinforcement Learning and Time Series Forest Framework,” Journal of Artificial Intelligence and Soft Computing Research, 2024.
  3. H. Hasan*, R.A. Kakoun*, G. Massaad*, M. Awad, “Advancing Agricultural Sustainability Through an AI Powered Classification Framework of Plant Pests and Diseases,” IFIP International Conference on Artificial Intelligence Applications and Innovations, 2024.
  4.  M. El Beaini*, M. Awad, “Towards an Unbiased Classification of Chest X-ray Images Using a RL Powered ACGAN Framework,” IFIP International Conference on Artificial Intelligence Applications and Innovations, 2024.
  5.  J. El Zini*, B. Musharrafieh*, M. Awad, “On The Potential of The Fractal Geometry and The CNNs Ability to Encode it,” arXiv preprint arXiv:2401.04141, 2024. 
  6. B. Hammoud*, J. El Zini*, M. Awad, “Predicting Incomplete Occlusion of Intracranial Aneurysms Treated with Flow Diverters Using Machine Learning Models,” Journal of Neurosurgery, 2023.
  7. R.M. Bichara*, F.A.B. Asadallah*, M. Awad, “Quantum Genetic Algorithm for the Design of Miniaturized and Reconfigurable IoT Antennas,” IEEE Transactions on Antennas and Propagation, vol. 71, no. 5, pp. 3894-3904, 2023.
  8.  Z.A. Sahili*, M. Awad, “Spatio-Temporal Graph Neural Networks: A Survey,” arXiv preprint arXiv:2301.10569, 2023.
  9.  J. El Zini*, M. Mansour, M. Awad, “CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers’ Decisions,” arXiv preprint arXiv:2301.07941, 2023.
  10.  T. Naous*, M. Itani, M. Awad, “Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-based Communications,” IEEE Access, vol. 11, pp. 19941-19968, 2023.
  11.  J. El Zini*, M. Awad, “Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations,” Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 1391-1402, 2022. DOI: 10.18653/v1/2022.findings-emnlp.103
  12.  J. El Zini*, M. Awad, “On the Explainability of Natural Language Processing Deep Models,” ACM Computing Surveys, vol. 55, no. 6, pp. 103:1-103:31, 2023. DOI: 10.1145/3527154
  13. A. Marot*, B. Donnot*, G. Dulac-Arnold*, A. Kelly*, A. O’Sullivan*, J. Viebahn*, M. Awad, I. Guyon, P. Panciatici, C. Romero, “Learning to run a Power Network Challenge: a Retrospective Analysis,” arXiv preprint arXiv:2103.03104, 2021.
  14. J. El Zini*, Y. Rizk*, M. Awad, “An Optimized Parallel Implementation of Non Iteratively Trained Recurrent Neural Networks“, Journal of Artificial Intelligence and Soft Computing Research, online access Dec 2020.
  15. J. El Zini*, Y. Rizk*, M. Awad, “A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection”, IEEE Transactions on Geoscience and Remote Sensing, 2019.
  16. A. Eid*, S. Mghabghab*, J. Costantine, M. Awad, Y. Tawk, “Support Vector Machines for Scheduled Harvesting of Wi-Fi Signals”, IEEE Antennas and Wireless Propagation Letters, 2019.
  17. N. Hajj*, M. Awad, “On Biologically Inspired Stochastic Reinforcement Deep Learning: A case study on visual surveillance”, IEEE Access, 2019.
  18. Y. Rizk*, M. Awad, “On Extreme Learning Machines in Sequential and Time Series Prediction: A Non-Iterative and Approximate Training Algorithm for Recurrent Neural Networks”, Neurocomputing, 2019.
  19. Y. Rizk*, M. Awad, and E. W. Tunstel. 2019. Cooperative Heterogeneous Multi-Robot Systems: A Survey. ACM Comput. Surv. 52, 2, Article 29 (April 2019), 31 pages. DOI: https://doi.org/10.1145/3303848
  20. N. Hajj*, Y. Rizk*, M. Awad, “A Subjectivity Classification Framework for Sports Articles using Improved Cortical Algorithms”, Neural Computing and Applications, 2019.
  21. Y. Rizk*, M. Awad, E. Tunstel, “ Decision Making in Multi Agent Systems: A Survey”, IEEE Transactions on Cognitive and Developmental Systems, May 2018.
  22. Y. Rizk*, N. Hajj*, N. Mitri*, M. Awad, ”Deep Belief Networks and Cortical Algorithms: A Comparative Study for Supervised Classification”, Applied Computing and Informatics, 2018.
  23. M. Azzam*, M. Awad, J. Zeaiter, “Application of evolutionary neural networks and support vector machines to model NOx emissions from gas turbines”, Journal of Environment Chemical Engineering, 2018.
  24. O. Al Zoubi*, M. Awad, N. Kasabov, “Anytime Multipurpose Emotion Recognition from EEG   Data using a Liquid State Machine Based Framework”, Artificial Intelligence In Medicine 86, 1-8, 2018.
  25. M. Azzam*, N. Aramouni*, M. N. Ahmad, M. Awad, W. Kwapinskic, J. Zeaiter, “Dynamic Optimization of Dry Reformer Under Catalyst Sintering Using Neural Networks”, Energy Conversion and Management, 2018.
  26. Y. Rizk*, H. Partamian*, M. Awad, “Towards Real Time Seismic Feature Analysis for Bright   Spot Detection: A Distributed Approach”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018.
  27. N. Hajj*, M Filo*, M Awad, “Automated composer recognition for multi-voice piano compositions using rhythmic features, n-grams and modified cortical algorithms”, Complex & Intelligent Systems, 4 (1), 55-65, 2018.
  28. A Yassin*, Y Nasser, AY Al-Dubai, M Awad, “ MOSAIC: Simultaneous localization and  environment mapping using mmWave without a-priori knowledge”, IEEE Access 6, 2018, 68932-68947.
  29. N. Hajj*, M. Awad, “A piecewise weight update rule for a supervised training of cortical algorithms”, Neural Comput & Applic (2017) https://doi.org/10.1007/s00521-017-3167-5
  30.  A. Nayal*, H. Jomaa*, M. Awad, “KerMinSVM for Imbalanced Datasets with a Case Study on Arabic Comics Classification”, Engineering Applications of Artificial Intelligence, Jan 2017.
  31. A. Yassin*, Y. Nasser, M. Awad, A Al-Dubai, R Liu, C Yuen, R Raulefs, “Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications”, IEEE Communications Surveys & Tutorials, Dec 2016.
  32. M. Filo*, F. Karameh, M. Awad, “Order Reduction and efficient implementation of nonlinear nonlocal cochlear response models”, Biological Cybernetics, 110(6), 435-454, Nov 2016.
  33. M. Sharafeddin*, H. Partamian*, M. Awad, M. A.R. Saghir, H. Akkary, H. Artail, Hazem Hajj and M. Baydoun, “Towards Distributed Acceleration of Image Processing Applications Using Reconfigurable Active SSD Clusters: a Case Study of Seismic Data Analysis”, Int. J. of High Performance Computing and Networking, Feb 2018.
  34. N. Nehme*, M. Awad, I. Kayssi, “An Epsilon Bargaining Game Theoretic Formulation Between Carrier and Container Terminal’s Operator for Servicing Vessels During Unloading Operations,” Journal of Intelligent Transportation Systems, (GITS), Vol 20, Iss 3, 2016.
  35. K. Mershad*; H. Artail; M. Saghir; H. Hajj; M. Awad, “A Mathematical Model to Analyze the Utilization of a Cloud Datacenter Middleware”, Journal of Network and Computer Applications, Volume 59, Jan 2016, Pages 399–415.
  36. K. Mershad*; H. Artail; M. Saghir; H. Hajj; M. Awad, “A Study of the Performance of a Cloud Datacenter Server”, Transactions on Cloud Computing, Jan 2015.

 

Refereed Conferences

  1. H. Al Mubasher*, M. Awad, “An EANN-Based Recommender System for Drug Recommendation,” International Conference on Engineering Applications of Neural Networks, pp. 41-55, 2024.
  2.  Y. Abu Adla*, M.A.R. Saghir, M. Awad, “Real-Time Arabic Digit Spotting with TinyML-Optimized CNNs on Edge Devices,” IFIP International Conference on Artificial Intelligence Applications and Innovations, 2023.
  3.  A. Ismail*, M. Awad, “Towards Cross-Disaster Building Damage Detection with Graph Convolutional Networks,” IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, 2022.
  4.  J. Ghanim*, M. Issa, M. Awad, “An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction,” 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), pp. 819-824, 2022.
  5.  C. Farah*, Y. Abu Adla*, M. Awad, “Can Machine Learning Predict Mortality in Myocardial Infarction Patients Within Several Hours of Hospitalization? A Comparative Analysis,” 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), pp. 1135-1140, 2022.
  6. R. Daher*, M. K. Zein*, J. El Zini*, M. Awad, D. Asmar, “Change your singer: A Transfer Learning Generative Adverserial Framework for Song to Song Conversion”, International Joint Conference on Neural Networks (IJCNN), Jul 19-24, 2020.
  7. M.Azzam*, J. Zeaiter, M. Awad, “Towards a Quantum based GA Search and Optimal Artificial Neural Networks Architecture and Feature Selection to Model NOx Emissions”, IEEE Congress on Computational Intelligence (CEC), Jul 19-24, 2020 (corresponding and lead author).
  8. A. R- Garcia*, V. Palade, M. Elshaw, M. Awad, “Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition”, International Joint Conference on Neural Networks (IJCNN), Jul 19-24, 2020
  9. M. Ayle*, J. Tekli*, J. El Zini*, B. Asmar*, M. Awad, “BAR – A Reinforcement Learning    Agent for Bounding-Box Automated Refinement”, AAAI, Feb 7-12, 2020.
  10. Y. Rizk*, M. Awad, “A quantum genetic algorithm for pickup and delivery problems with coalition formation”, 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 4-6, 2019.
  11. J. El Zini*, Y. Rizk*, M. Awad, “Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations”, IJCNN, Jul 15-17, 2019.
  12. O.A Zoubi*, M Awad, “Toward a continuous authentication system using a biologically inspired machine learning approach: a case study”, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1362-1364, Apr 15, 2019.
  13. Y. Rizk*, HS Jomaa*, M Awad, C Castillo, “A Computationally Efficient Multi-modal Classification Approach of Disaster-related Twitter Images”, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1362-1364, Apr 15, 2019.
  14. O. Al Zoubi* and M. Awad, “Dynamic Area Search with Shared Memory: Semi-unsupervised Learning Can Help Guiding Optimal Path Finding”, IEEE 13th International Conference on Innovations in Information Technology, Dubai, Nov 18-19, 2018 – Best paper award.
  15. R. Moawi*, M. Awad, A. Chehab; I. Elhajj; A. Kayssi, “Towards a Machine Learning Approach for Detecting Click Fraud in Mobile Advertizing”, IEEE 13th International Conference on Innovations in Information Technology, Dubai, Nov 18-19, 2018.
  16. H. Partamian*, Y. Rizk* and M. Awad, “Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification”, the 21st International Conference on Discovery Science”, Limassol, 29- 31 Oct, 2018.
  17. N. Mitri* and M. Awad, “Sky Writer: Towards an Intelligent Smart-phone Gesture Tracing and Recognition Framework”, the 21st International Conference on Discovery Science, Limassol, 29- 31 Oct, 2018.
  18. F. Asadallah*, R. Bichara*, J. Costantine, M. Awad, “A Folded Miniaturized Antenna for IoT Devices”, 2018 IEEE Conference on Antenna Measurements and Applications, Västerås, Sweden, 3-6 September 2018.
  19. O. Al Zoubi*, A. Mayeli*, M. Awad, and H. Refai, “Hierarchical Fusion Evolving Spiking Neural Network for Adaptive Learning”, 17th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Berkeley, July 2018.
  20. H. Mouzannar*, Y. Rizk*, and M. Awad, “Damage Identification in Social Media Posts using Multimodal Deep Learning”, The 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2018.
  21. A. Yassin*, Y. Nasser and M. Awad, “Geometric Approach in Simultaneous Context Inference, Localization and Mapping using mm-Wave”, 25th International Conference on Telecommunications (ICT), Saint Malo, 2018.
  22. N. Hajj*, M. Awad, “A Biologically Inspired Deep Neural Network of Basal Ganglia Switching in Working Memory Tasks”, 2017 IEEE Symposium Series on Computational Intelligence, 2017.
  23. N. Mitri*, W. Marrouche*, M. Awad and R. Habib, “Irregular Breathing Detection in CPAP Assisted Patients Using Hierarchical Temporal Memory”, 2017 IEEE Symposium Series on Computational Intelligence, Nov 2017.
  24. Y. Rizk*, M. Awad, “Context dependent input weight selection for regression extreme learning machines”, ENNS International Conference on Artificial Intelligence Network (ICANN), Alghero, Italy, Sept 11-14, 2017.
  25. A. Yassin*, Y. Nasser, M. Awad, A. Al-Dubai, “Simultaneous context inference and mapping  using mm-Wave for indoor scenarios”, Communications (ICC), IEEE International Conference on, May 1-6, 2017.
  26. H. Jomaa*, M. Kamereddine*, A. Nayal*, Y. Rizk*, M. Awad, “Affective Relationship Between Color and Text in Arabic Comic books”, 12th International Conference on Signal-Image Technology & Internet-Based Systems, Nov 28-Dec 2, 2016.
  27. H. Jomaa*, Y. Rizk*, M. Awad, “Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images”, 12th International Conference on Signal-Image Technology & Internet-Based Systems, Nov 28-Dec 2, 2016.
  28. M. Saffiedine*, M. Awad, ”Game Theory Approach for Functional units Power Gating and Instruction Scheduling”,  IMCET 2016, Nov 2-4, 2016.
  29. O. Salman*, M. Awad, F. Saab, I. Elhajj, A. Chehab, A. Kayssi, “A Game-Theoretic Approach to Resource Allocation in the Cloud” , IMCET 2016, Nov 2-4,2016.
  30. HS. Jomaa*, M Awad, L Ghaibeh, “Panel Tracking for the Extraction and the Classification of Speech Balloons”,  Image Analysis and Processing (ICIAP), 2015, 394-405.
  31. Y. Rizk*, M. Awad, “A Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data”, INNS Big Data Conference, August 3-5, 2015.
  32. N. Hajj*, Y. Rizk*, M. Awad, “A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data”, INNS Big Data Conference, August 3-5, 2015.
  33. H. Partamian*, M. Awad, “Demystifying Marine Seismic Analysis”, Mediterranean Gas and Oil International Conference”, April 16-18, 2015.

 

Posters

1. A. Hariri*, D. Dyachkova*, S. Gleyzer, M. Awad, D. Morozova “ Graph Generative Models for Fast Detector Simulations in Particle Physics“, The Machine Learning and the Physical Sciences workshop, NeurIPS Dec, 2020.

2. Y. Rizk*, K. Kshoury*, M. Chehab*, P. Chidiac*, M. Awad and J. Antoun, “Virtual Patient”, First WiNLP workshop co-located with ACL 2017 in Vancouver, Canada. July 30th, 2017.

3. H. Jomaa*, Y. Rizk*, M. Awad, “Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images”, First WiNLP workshop co-located with ACL 2017 in Vancouver, Canada. July 30th, 2017.

4. H. Jomaa*, M. Kamereddine*, A. Nayal*, Y. Rizk* and M. Awad, “Affective Relationship Between Color and Text in Arabic Comic books”, First WiNLP workshop co-located with ACL 2017 in Vancouver, Canada. July 30th, 2017.

5. H. Jomaa*, M. Awad, “Estimating Road and House Density of Refugee Camps from Aerial  Imaging”, IEEE International Humanitarian Technology Conference, IHTC, July 20-21, 2017.

6. H. Jomaa*, M. Awad, “Directed Graph Optimization for Improving Fleet Management of Waste Water Removal in Refugee Camps”, IEEE International Humanitarian Technology Conference, IHTC, July 20-21, 2017.

 

Contributed Databases

1. https://archive.ics.uci.edu/ml/datasets/Sports+articles+for+objectivity+analysis#

2. https://archive.ics.uci.edu/ml/datasets/Multimodal+Damage+Identification+for+Humanitarian+Computing

3. https://gitlab.com/awadailab/crisis_multimodal

 

Granted Patents

1. US 10210202: Recognition of free-form gestures from orientation tracking of a handheld or wearable device, Feb 19, 2019.

2. US 9811555: Recognition of free-form gestures from orientation tracking of a handheld or wearable device, Nov 7, 2017.

3. US 9043889: Method and apparatus for secure and reliable computing, May 26, 2015.

 

Book

M. Awad, R. Khanna, “Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers”, ISBN-13: 978-1430259893, 2015.

 

Book Chapters

1. N. Zarif*, M. Awad, “Improved Genetic Algorithm for Downlink Carrier Allocation in an OFDMA System “, SPRINGER Novel Applications of Intelligent Systems, Series: Studies in Computational Intelligence, Vol. 586, Hadjiski, M., Kasabov, N., Filev, D., Jotsov, V. (Eds.), Jan 2016, p. 315.

2. Y. Nasser, M. Awad,  A. Yassin, Y. Jaffal ,“Towards an Autonomic Cognitive Radio Platform “, CRC Press , USA, Cognitive Networks :Applications and Deployments by Jaime Lloret Mauri (Edited by), Kayhan Zrar Ghafoor (Edited by), Danda B. Rawat (Edited by), Javier Manuel Aguiar Perez (Edited by). ISBN 9781482236996 – CAT# K23147, 16 Dec 2014.

3. R. Khanna*, H. Liu*, M. Awad, “Control Theoretic Approach to Power Optimization using HMM” published in the book “ Hidden Markov Models, Theory and Applications” ISBN, 9780953-7619 by INTECH, Jun 2010.

 

Books Edited

Mechanism, Machine, Robotics and Mechatronics Sciences, 2018, ISBN, 978-3-319-89910-7, Editors: R. Rizk, M. Awad.