Publications

International Refereed Journals

  • Abdullah N. Moustafa and Walid Gomaa. Gate and common pathway detection in crowd scenes and anomaly detection using motion units and LSTM predictive models. Multimedia Tools and Applications, April 2020.
  • S. Ashry, T. Ogawa, and W. Gomaa. Charm-deep: Continuous human activity recognition model based on deep neural network using imu sensors of smartwatch. IEEE Sensors Journal, 2020. In press.
  • O. T. Ibrahim, W. Gomaa, and M. Youssef. Crosscount: A deep learning system for device-free human counting using wifi. IEEE Sensors Journal, 19(21):9921–9928, Nov 2019.
  • A. Elkholy, M. Hussein, W. Gomaa, D. Damen, and E. Saba. Efficient and robust skeleton-based quality assessment and abnormality detection in human action performance. IEEE Journal of Biomedical and Health Informatics, 2019.
  • Allam S. Hassanein, Mohamed E. Hussein, Walid Gomaa, Yasushi Makihara, and Yasushi Yagi. Identifying motion pathways in highly crowded scenes: A non-parametric tracklet clustering approach. Computer Vision and Image Understanding, 191:102710, 2020.
  • Reda Elbasiony and Walid Gomaa. Humanoids skill learning based on real-time human motion imitation using kinect. Intelligent Service Robotics, 11(2):149–169, Apr 2018.
  • Hugo Bazille, Olivier Bournez, Walid Gomaa, and Amaury Pouly. On the complexity of bounded time and precision reachability for piecewise affine systems. Theoretical Computer Science, 735:132 – 146, 2018. Reachability Problems 2014: Special Issue.
  • Mohamed A. Khamis and Walid Gomaa. Comparative assessment of machine-learning scoring functions on pdbbind 2013. Engineering Applications of Artificial Intelligence, 45:136 – 151, 2015.
  • Mohamed A. Khamis, Walid Gomaa, and Walaa F. Ahmed. Machine learning in computational docking. Artificial Intelligence in Medicine, 63(3):135 – 152, 2015.
  • Hugo Feree, Walid Gomaa, and Mathieu Hoyrup. Analytical Properties of Resource-Bounded Real Functionals. Journal of Complexity, 30(5):647–671, October 2014.
  • Mohamed Gunady, Walid Gomaa, and Ikuo Takeuchi. Aggregate Reinforcement Learning for Multi- Agent Territory Division: The Hide-and-Seek Game. Journal of Engineering Applications of Artificial Intelligence, 34:122–136, September 2014.
  • Mohamed Khamis and Walid Gomaa. Adaptive Multi-Objective Reinforcement Learning with Hybrid Exploration for Traffic Signal Control Based on Cooperative Multi-Agent Framework. Journal of Engineering Applications of Artificial Intelligence, 29:134–151, March 2014.
  • Helmut Prendinger, Kugamoorthy Gajananan, Ahmed Bayoumy Zaki, Ahmed Fares, Reinaert Molenaar, Daniel Urbano, Hans van Lint, and Walid Gomaa. Tokyo Virtual Living Lab: Designing Smart Cities based on the 3D Internet. Journal of IEEE Internet Computing, 17(6):30–38, Nov-Dec 2013.
  • Walid Gomaa. Rational vs. Real Computation. International Journal of Software and Informatics, 7(4):629–654, 2013.
  • Walid Gomaa. A Survey of Recursive Analysis and Moore’s Notion of Real Computation. Journal of Natural Computing, 11(1):37–49, March 2012.
  • Olivier Bournez, Walid Gomaa, and Emmanuel Hainry. Algebraic Characterizations of Complexity-Theoretic Classes of Real Functions. International Journal of Unconventional Computing, 7(5):331– 351, November 2011.
  • Walid Gomaa. Algebraic Characterizations of Computable Analysis Real Functions. International Journal of Unconventional Computing, 7(4):245–272, 2011.
  • Walid Gomaa. Descriptive Complexity of Finite Abelian Groups. International Journal of Algebra and Computation, 20(8):1087–1116, December 2010.
  • Walid Gomaa. Model-Theoretic Characterization of Complexity Classes. Electronic Colloquium on Computational Complexity, (TR09-111), November 2009.
  • Walid Gomaa. Expressibility in Σ11. Journal of Universal Computer Science, 14(10):1654–1677, May 2008.
  • Michael Anderson, Walid Gomaa, John Grant, and Don Perlis. Active Logic Semantics for a Single Agent in a Static World. Journal of Artificial Intelligence, 172(8-9):1045–1063, May 2008.

Proceedings of Refereed Conferences

  • Sara Ashry and Walid Gomaa and Mubarak G. Abdu-Aguye and Nahla El-Borae . Improved IMU- Based Human Activity Recognition using Hierarchical HMM Dissimilarity. Accepted in the 17th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2020), Lieusaint- Paris, France, 7-9 July 2020.
  • Abeer Mostafa and Toka Ossama Barghash and Asmaa Al-Sayed Assaf and Walid Gomaa. Multi- Sensor Gait Analysis for Gender Recognition. Accepted in the 17th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2020), Lieusaint-Paris, France, 7-9 July 2020.
  • Osama Adel and Yousef Nafea and Ahmed Hesham and Walid Gomaa. Gait-based Person Identification using Multiple Inertial Sensors. Accepted in the 17th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2020), Lieusaint-Paris, France, 7-9 July 2020.
  • Mubarak G. Abdu-Aguye and Walid Gomaa and Yasushi Makihara and Yasushi Yagi. Adaptive Pooling Is All You Need: An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors. Accepted in the 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Scotland, UK, 19-24 July 2020.
  • Mubarak G Abdu-Aguye, Walid Gomaa, Yasushi Makihara, and Yasushi Yagi. Detecting adversarial attacks in time-series data. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3092–3096. IEEE, 2020.
  • W. Gomaa. Statistical and time series analysis of accelerometer signals for human activity recognition. In 2019 14th International Conference on Computer Engineering and Systems (ICCES), pages 351– 356, 2019.
  • W. Gomaa. Probabilistic approach to human activity recognition from accelerometer data. In 2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC), pages 63–66, 2019.
  • S. Ashry and W. Gomaa. Descriptors for human activity recognition. In 2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC), pages 116–119, 2019.
  • N. E. A. Abdelgawad, A. El Mahdy, W. Gomaa, and A. Shoukry. Estimating vehicle speed on highway roads from smartphone sensors using deep learning models. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), pages 979–986, 2019.
  • Walid Gomaa. Statistical metric-theoretic approach to activity recognition based on accelerometer data. In Aboul Ella Hassanien, Khaled Shaalan, and Mohamed Fahmy Tolba, editors, Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, pages 537–546, Cham, 2020. Springer International Publishing.
  • A. Elkholy, Y. Makihara, W. Gomaa, M. A. Rahman Ahad, and Y. Yagi. Unsupervised gei-based gait disorders detection from different views. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 5423–5426, July 2019.
  • M. G. Abdu-Aguye and W. Gomaa. Competitive feature extraction for activity recognition based on wavelet transforms and adaptive pooling. In 2019 International Joint Conference on Neural Networks (IJCNN), pages 1–8, July 2019.
  • Mubarak G. Abdu-Aguye, Walid Gomaa., Yasushi Makihara., and Yasushi Yagi. On the feasibility of on-body roaming models in human activity recognition. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pages 680–690. INSTICC, SciTePress, 2019.
  • Mubarak G. Abdu-Aguye and Walid Gomaa. Robust human activity recognition based on deep metric learning. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pages 656–663. INSTICC, SciTePress, 2019.
  • Mubarak G. Abdu-Aguye and Walid Gomaa. Versatl: Versatile transfer learning for imu-based activity recognition using convolutional neural networks. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pages 507–516. INSTICC, SciTePress, 2019.
  • A. AbdelAziz, A. Shoukry, W. Gomaa, and M. Youssef. Trans-sense: Real time transportation schedule estimation using smart phones. In 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pages 1–8, June 2019.
  • Reda Elbasiony and Walid Gomaa. A survey on human activity recognition based on temporal signals of portable inertial sensors. In Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Roheet Bhatnagar, and Mohamed F. Tolba, editors, The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019), pages 734–745, Cham, 2020. Springer International Publishing.
  • Walid Gomaa and Reda Elbasiony. World perception of the latest events in Egypt based on sentiment analysis of the guardian’s related articles. In Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Roheet Bhatnagar, and Mohamed F. Tolba, editors, The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019), pages 908–917, Cham, 2020. Springer International Publishing.
  • Mubarak G Abdu-Aguye and Walid Gomaa. Novel approaches to activity recognition based on vector autoregression and wavelet transforms. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 951–954. IEEE, 2018.
  • Reda Elbasiony, Walid Gomaa, and Tetsuya Ogata. Deep 3d pose dictionary: 3d human pose estimation from single rgb image using deep convolutional neural network. In VeraKurkova, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning – ICANN 2018, pages 310–320, Cham, 2018. Springer International Publishing.
  • O. T. Ibrahim, W. Gomaa, and M. Youssef. Zero-calibration device-free localization for the IoT based on participatory sensing. In 2018 IEEE Global Communications Conference (GLOBECOM), pages 1–7, Dec 2018.
  • Sara Ashry, Reda Elbasiony, and Walid Gomaa. An LSTM-based Descriptor for Human Activities Recognition using IMU Sensors. In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, pages 494–501. INSTICC, SciTePress, 2018.
  • W. Gomaa, R. Elbasiony, and S. Ashry. Adl classification based on autocorrelation function of inertial signals. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 833–837, Dec 2017.
  • Abdullah Moustafa, Mohamed Hussein, and Walid Gomaa. Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and Meta-Tracking. In Proc. of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) , Sydney, Australia, 29 Nov - 01 Dec 2017.
  • Sara Mohammed and Walid Gomaa. Exploration of Unknown Map for Safety Purposes Using Wheeled Mobile Robots. In Proc. of the 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017), Madrid, Spain, 26 - 28 Jul 2017.
  • Amr Elkholy, Mohamed E. Hussein, Walid Gomaa, Dima Damen, and Emmanuel Saba. A General Descriptor for Detecting Abnormal Action Performance From Skeletal Data. In Proc. of the 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 17), JeJu Island, S. Korea, 11-15 Jul 2017.
  • Mathieu Hoyrup and Walid Gomaa. On the Extension of Computable Real Functions. In Proc. of the Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2017), Reykjavik, Iceland, June 2017.
  • Sara Mohammed and Walid Gomaa. Exploration of Unknown Map for Gas Searching and Picking up Objects Using Khepera Mobile Robots. In Proc. of the 13th International Conference on Informatics in Control, Automation and Robotics 2016, volume 2, pages 294–302, Lisbon, Portugal, 29-31 July 2016.
  • Allam Hassanein, Mohamed Hussein, and Walid Gomaa. Semantic Analysis of Crowded Scenes Based on Non-Parametric Tracklet Clustering. In Proc. of the 25th International Joint Conference on Artificial Intelligence IJCAI-16, New York City, USA, 9th-15th July 2016.
  • A. B. Zaky, W. Gomaa, and M. A. Khamis. Car Following Markov Regime Classification and Calibration. In Proc. of 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pages 1013–1018, December 2015.
  • R. Elbasiony and W. Gomaa. WiFi Localization for Mobile Robots Based on Random Forests and GPLVM. In Proc. of 2014 13th International Conference on Machine Learning and Applications (ICMLA), pages 225–230, December 2014.
  • Ahmed Bayoumy Zaky and Walid Gomaa. Car Following Regime Taxonomy Based on Markov Switching. In Proc. of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC 2014), pages 1329–1334, Qingdao, China, October 8-11, 2014.
  • Hugo Bazille, Olivier Bournez, Walid Gomaa, and Amaury Pouly. On the Complexity of Bounded Time Reachability for Piecewise Affine Systems. In Proc. of the 8th International Workshop on Reachability Problems (RP2014), volume 8762 of Lecture Notes in Computer Science, pages 20–31, Oxford, UK, September 22nd-24th, 2014.
  • Walaa Gouda and Walid Gomaa. Complex Motion Planning for NAO Humanoid Robot. In Proc. of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014), Vienna, Austria, September 1st-3rd, 2014.
  • Walaa Gouda and Walid Gomaa. NAO Humanoid Robot Motion Planning Based on its Own Kinematics. In Proc. of the 19th International Conference on Methods and Models in Automation and Robotics (MMAR 2014), Miedzyzdroje, Poland, September 2nd-5th, 2014.
  • Ahmed Fares and Walid Gomaa. Multi-Agent Reinforcement Learning Control for Ramp Metering. In Proc. of the 23rd International Conference on Systems Engineering (ICSEng 2014), volume 1089 of Advances in Intelligent Systems and Computing, pages 167–173, Las Vegas, USA, August 19-21, 2014.
  • Islam Elshaarawy and Walid Gomaa. Ideal Quantification of Chaos at Finite Resolution. In Proc. of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014), University of Minho, Guimaraes, Portugal, June 30 - July 3, 2014.
  • Ahmed Fares and Walid Gomaa. Freeway Ramp-Metering Control based on Reinforcement Learning. In Proc. of the 11th IEEE International Conference on Control & Automation (IEEE ICCA 2014), Taichung, Taiwan, June 18-20, 2014.
  • Walaa Gouda, Walid Gomaa, and Tetsuji Ogawa. Vision based SLAM for Humanoid Robots: A Survey. In Proc. of the 2013 Japan-Egypt IEEE Conference on Electronics, Communications, and Computers (JEC-ECC 2013), Egypt, December 2013.
  • Islam Elshaarawy and Walid Gomaa. An Efficient Computational Framework for Studying Dynamical Systems. In Proc. of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2013), Timisoara, Romania, September 2013.
  • Hugo Feree, Walid Gomaa, and Mathieu Hoyrup. On the Query Complexity of Real Functionals. In Proc. of the Twenty-Eighth Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2013), pages 103–112, New Orleans, USA, June 2013.
  • Mohamed Khamis and Walid Gomaa. Enhanced Multiagent Multi-Objective Reinforcement Learning for Urban Traffic Light Control. In Proc. of the 11th IEEE International Conference on Machine Learning and Applications (ICMLA 2012), Boca Raton, Florida, USA, December 2012.
  • Mohamed Khamis, Walid Gomaa, and Hisham El-Shishiny. Multi-Objective Traffic Control System Based on Bayesian Probability Interpretation. In Proc. of the 15th IEEE Intelligent Transportation Systems Conference (ITSC 2012), Anchorage, Alaska, USA, September 2012.
  • Mohamed Gunady, Walid Gomaa, and Ikuo Takeuchi. Multi-Agent Task Division Learning in Hide- and-Seek Games. In Proc. of the 15th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA-2012), volume 7557 of Lecture Notes in Computer Science, pages 256– 265, Varna, Bulgaria, September 2012.
  • Walaa Ahmed and Walid Gomaa. A Novel Methodology for Protein Secondary Structure Prediction Using Physics Principles. In Proc. of the 2012 International Conference on Medical Physics and Biomedical Engineering (ICMPBE-2012), Singapore, September 2012.
  • Mohamed Gunady and Walid Gomaa. Reinforcement Learning Generalization Using State Aggregation with a Maze-Solving Problem. In Proc. of the 2012 Japan-Egypt IEEE Conference on Electronics, Communications, and Computers (JEC-ECC 2012), pages 157–162, Alexandria, Egypt, March 2012.
  • Mohamed Khamis, Walid Gomaa, Ahmed El-Mahdy, and Amin Shoukry. Adaptive Traffic Control System based on Bayesian Probability Interpretation. In Proc. of the 2012 Japan-Egypt IEEE Conference on Electronics, Communications, and Computers (JEC-ECC 2012), pages 151–156, Alexandria, Egypt, March 2012.
  • Walid Gomaa, Nermine Harraz, and Amr ElTawil. Crop Planning and Water Management: A Survey. In Proc. of the 41st International Conference on Computers & Industrial Engineering (CIE 41), pages 319–324, Los Angeles, California, USA, October 2011.
  • Sameh Samra, Ahmed El-Mahdy, Walid Gomaa, Wada Yasutaka, and Amin Shoukry. Efficient Parallel Implementations of Controlled Optimization of Traffic Phases. In Proc. of the 11th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2011), volume 7016 of Lecture Notes in Computer Science, pages 270–281, Melbourne, Australia, October 2011.
  • Walid Gomaa. Modeling Gene Regulatory Networks: A Survey. In Proc. of the 9th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-2011), Sharm El-Sheikh, Egypt, December 2011.
  • Walid Gomaa. Polynomial Time Computation in the Context of Recursive Analysis. In Proc. of the International Workshop on Foundational and Practical Aspects of Resource Analysis (FOPARA ‘09), volume 6324 of Lecture Notes in Computer Science, pages 146–162, Eindhoven, The Netherlands, November 2010.
  • Walid Gomaa. Characterizing Polynomial Time Computability of Rational and Real Functions. In Barry Cooper and Vincent Danos, editor, Proc. of the 5th International Workshop on Developments in Computational Models 2009, volume 9 of Electronic Proceedings in Theoretical Computer Science, pages 54–64, Rhodes, Greece, July 2009.
  • Walid Gomaa. The complexity of identifying finite abelian groups. In Proc. of the International Conference on Theoretical and Mathematical Foundations of Computer Science 2008 (TMFCS 2008), pages 1–8, 2008.
  • Michael Anderson, Walid Gomaa, John Grant, and Don Perlis. On the Reasoning of Real-World Agents: Toward a Semantics for Active Logic. In Proc. of the 7th Annual Symposium on the Logical Formalization of Commonsense Reasoning, Corfu, Greece, May 2005. Dresden University Technical Report (ISSN 1430-211X).
  • Walid Gomaa, Amani Saad, and Mohamed Ismail. Learning Joint Coordinated Plans in Multi-Agent Systems. In Proc. of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2003), volume 2718 of Lecture Notes in Computer Science, pages 154–165, Loughborough, UK, June 2003.

Books

  • Michael Anderson, Walid Gomaa, John Grant, and Donald Perlis. An Approach to Human-Level Commonsense Reasoning. In Paraconsistency: Logic and Applications, volume 26 of Logic, Epistemology, and the Unity of Science, chapter 12, pages 201–222. Springer, July 2012.

Other

  • Walid Gomaa and Reda Elbasiony. Comparative Study of Different Approaches for Modeling and Analysis of Activities of Daily Living. The 11th International Conference on Informatics and Systems, Cairo, Egypt, December 2018.
  • Mubarak Abdu-Aguye and Walid Gomaa. Novel Approaches to Activity Recognition Based on Deep Metric Learning. Abstract appeared in the proc. of the Arab Meeting for Creativity, Innovation, and Competitiveness, Hurghada, Egypt, October 2018.
  • Walaa Ahmed and Walid Gomaa. Approaches to Prediction of Protein Structure. Poster in the 9th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2011), December 2011.
  • Olivier Bournez, Walid Gomaa, and Emmanuel Hainry. Implicit complexity in recursive analysis. Tenth International Workshop on Logic and Computational Complexity - LCC’09, Aug 2009, Los Angeles, United States, 2009. https://hal.inria.fr/inria-00429964.