Ahmed ElSaid: Home

Ahmed ElSaid

About Me

I am a Assistant Professor at the Computer Science and Engineering Department, UPRM . I hold a Computing and Information Sciences Ph.D. from the Rochester Institute of Technology. Before starting my Ph.D. prgram, I finsiehd an M.Sc. degree in computer science and a B.Sc. degree in aerospace engineering, beside working several years in the civil aviaion industry.

My research focus is on predictions based on time series data using machine learnning and artificial intellegence. In addition, I also collaborated with computer vision and embedded systems projects

My aim is to bridge the gap between engineering and computing, in the engineering realm in general, and in aerospace engineering specificly.

Ahmed's picture

Advisors & Mentors

Contact Information

a.elsaid at uci dot edu

LinkedIn

ResearchGate

GitHub

Youtube

Google Scholar

KLAB

Address:

University of Puerto Rico, Mayagüez

Stefani Building – Office 220

259 Norte Alfonso Valdez Cobian

Mayaguez PR 00680, USA

Publications

Thesis

  1. ElSaid A, Nature-inspired Topology Optimization Of Recurrent Neural Networks. RIT, 2020. [url]
  2. ElSaid A, Using Long-short-term-memory Recurrent Neural Networks to Predict Aviation Engine Vibrations. ProQuest, 2017. [pdf]
  3. ElBanna T, ElSaid A, Mahmoud A., CU-M.A.V. VER1.0, B.Sc. Graduation project documentation: Endurance Low Reynolds Number Micro Air Vehicle. Cairo University Press. 2007. [pdf]

Conference and Workshop Proceedings

  1. ElSaid A., Karns J., Lyu Z., Krutz D.,Ororbia A. and Desell T. Continuous Ant-Based Neural Topology Search, EvoStar 2021 (Submitted Nov 2020). Seville, Spain April 7th-9th 2021. [pdf]
  2. ElSaid A., Karns J., Lyu Z., Krutz D.,Ororbia A. and Desell T. Improving Neuroevolution Using Island Extinction and Repopulation, EvoStar 2021 (Submitted Nov 2020). Seville, Spain April 7th-9th 2021. [pdf]
  3. ElSaid A., Karns J., Lyu Z., Krutz D.,Ororbia A. and Desell T. A Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution, EvoStar 2021 (Submitted Nov 2020). Seville, Spain April 7th-9th 2021. [pdf]
  4. ElSaid A., Karns J., Lyu Z., Krutz D.,Ororbia A. and Desell T. Improving Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation, 2020 The Genetic and Evolutionary Computation Conference (GECCO 2020). Cancun, Mexica July 8th-12th 2020 **Nominated Best Paper**. [pdf]
  5. ElSaid A., Ororbia A., and Desell, T. Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks, EvoStar 2020. Seville, Spain. [pdf]
  6. ElSaid A., Karns J., Lyu Z., Krutz D., Ororbia A., and Desell, T. Neuro-Evolutionary Transfer Learning Through Structural Adaptation, EvoStar 2020. Seville, Spain. [url]
  7. Desell T., ElSaid A., Ororbia A. An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution, EvoStar 2020. Seville, Spain **Nominated Best Paper**. [pdf]
  8. Western New York Image and Signal Processing Workshop WNYISPW 2019, Rochester Institute of Technology (RIT). Rochester, NY, USA. October 2019. [url]
  9. Ororbia A., ElSaid A., Desell T. Investigating Recurrent Neural Network Memory Structuresusing Neuro-Evolution, 2019 The Genetic and Evolutionary Computation Conference (GECCO 2019). Prague, Czech Republic July 8-12, 2019. [pdf]
  10. ElSaid A., BensonS., Patwardhan S., Stadem D., Desell T. Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters, Applications of Evolutionary Computation (EvoStar: EvoApps 2019). Leipzig, Germany. [url]
  11. ElSaid A., Desell T., Krutz D. Is Adaptivity a Core Property of Intelligent Systems? It Depends, 2019 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019). Montréal, Canada. May 25th-25th 2019. [pdf]
  12. ElSaid A., Adhikari D., Reza, H., ElJamiy F. A General Model Based Engineering Approach To MRO Business Software Applications Using Acme, 2018 AIAA/IEEE Digital Avionics Systems Conference. London, United Kingdom, 2018. [pdf]
  13. Hu W., Kaabouch N., Guo H., ElSaid A. Dummy Locations for Robust Privacy Preservation of Location-Based Services. 2018 International Conference on Engineering, Technology, and Applied Science. Taipei, Taiwan, 2018.
  14. ElSaid A., Hu W., Kaabouch N., El Jamiy F. A Location-Based Service Using a Server-Side Geographical Database. 2018 Midwest Instruction and Computing Symposium. Minnesota, United States, 2018.
  15. El Jamiy F., Reza, H., ElSaid A. A Rew Software Architecture Style for Hadoop Systems. 2018 IEEE 4th International Conference on Advances in Computing & Communication Engineering (ICACCE 2018). Paris, France, 2018. [pdf]
  16. AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild and Travis Desell. Using Ant Colony Optimization to Optimize Long Short-Term Memory Recurrent Neural Networks. The 2018 Genetic and Evolutionary Computation Conference (GECCO 2018). Kyoto, Japan. July 15th-19th 2018. [pdf]
  17. AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins and Brandon Wild. Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. The Genetic and Evolutionary Computation Conference Poster Session. Berlin, Germany. July 15, 2017.
  18. ElSaid A., El Jamiy F., Desell T., Higgins J., Wild B., Optimizing LSTM Recurrent Neural Networks Using Ant Colony Optimization to Predict Aircraft Engine Vibration. The 2017 Genetic and Evolutionary Computation Conference (GECCO) - Late Breaking Abstracts. Berlin, Germany. July 15th-19th 2017.[pdf]
  19. AbdElRahman ElSaid, Travis Desell, James Higgins and Brandon Wild. Using LSTM Recurrent Neural Networks to Predict Excess Vibration Events in Aircraft Engines. The IEEE 12th International Conference on eScience. Baltimore, Maryland, USA. October 23, 2016. [pdf]
  20. AbdElRahman ElSaid, Travis Desell, James Higgins and Brandon Wild. Using LSTM Recurrent Neural Networks to Predict Excess Vibration Events in Aircraft Engines. The IEEE 12th International Conference on eScience Poster Session. Baltimore, Maryland, USA. October 23, 2016. [pdf]
  21. Advanced Cyberinfrastructure Research & Education Facilitators Virtual Residency. University of Oklahoma (OU). Norman, OK, USA. August 2016. [url]

Book Chapters

  • P. Karthikeyan, M. Thangavel Applications of Security, Mobile, Analytic and Cloud (SMAC) Technologies for Effective Information Processing and Management. Engineering Science Reference, 2018. ISBN 152254044X, 9781522540441. Contributing author on chapter 10: Location-Based Advertising Using Location-Aware Data Mining [url]
  • H. Iba, and N. Noman Deep Neural Evolution. Deep Learning with Evolutionary Computation Springer [url]

Journal Articles

  1. AlQaisi A., AlTarawneh M., Elsaid A. and Alqadi Z. A Hybrid Method of Face Feature Extraction, Classification Based on MLBP and Layered-Recurrent Network, Traitement du Signal. Accepted October 2020. [url]
  2. Travis Desell, AbdElRahman ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, Steven Benson. Long Term Predictions of Coal Fired Power Plant Data Using Evolved Recurrent Neural Networks, at - Automatisierungstechniki Submitted October 2019. [pdf]
  3. ElSaid A., Adjekum D., Nordlie J., ElJamiy F. A test bed for measuring UAV servo reliability. MDPI Aerospace. 23 September 2019. [pdf]
  4. AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell. Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. Applied Soft Computing. Accepted September 2018. [pdf]

Peer Reviews

Experience

  • Research Assistant, Rochester Institute of Technology.
  • Adjunct Faculty, Rochester Institute of Technology.
  • Machine Learning Specialist, Evolve Analytics.
  • Research & Teaching Assistant, Unversity of North Dakota.
  • Machine Learning Specialist, EdgeData.
  • Reliability & Safety Engineer, Smart Aviation.
  • Airframe & Engine Maintenance Engineer, Lufthansa.
  • Accident Investigation Investigator, Aircraft Accident Investigation Authority, Egypt.
  • Technical Office Engineer, AcroMisr.

Patents

  • AbdElRahman ElSaid, Travis Desell, James Higgins and Brandon Wild. LSTM RNN For Predicting Aircraft Excess Engine Vibration [UND17-15] . (Filed February 2017).

Awards & Licenses

  • Nov 2015, Scholarship for graduate students with an outstanding curriculumi, Microsoft.
  • Apr 2009, Aircraft Engine & Airframe Maintenance Engineer ICAO Type II License.

Professional Training

  • Bombardier Dash-8 Q402 type course.
  • Cessna 680 Citation Sovereign type course.
  • Safety Management System course.
  • Quality/Safety Auditing training course.
  • Safety Management System training.
  • Ramp Safety course.
  • Technical training at Lufthansa Technik in Frankfurt, Germany.
  • Airside Accident Investigation course (IATA).
  • Fourteen months On-Job-Training to obtain the Maintenance Engineer License (License Without Type Rating).
  • Aircraft maintenance basic course (6months-certified).
  • Airplanes Factory, Helwan, Egypt.