Dr. Roxane Mallouhy

Publications:

• Predictive analysis of time series in various application contexts, Université Bourgogne Franche-Comté, 01/02/2023 (https://theses.hal.science/tel-04020757/file/these_A_ELIASMALLOUHY_Roxane_2023.pdf)

• K-mean Clustering: a case study in Yvelines, Ile-de-France
  2012 14th IEEE International Conference on Computational Intelligence and Communication Networks, 4‑6 Dec. 2022 (https://ieeexplore.ieee.org/document/10008344/)
• Deep Learning Utilization in Agriculture: Detection of Rice Plant Diseases Using an Improved CNN Model Plants journal (4.8 impact factor, Q1 (https://www.mdpi.com/2223-7747/11/17/2230)

• Predicting fire brigades' operations based on their type of interventions
  International Wireless Communications and Mobile Computing Conference (IWCMC 2022), May 30 ‑ June 3, 2022, Dubrovnik, Croatia (https://ieeexplore.ieee.org/document/9825380)
• Machine Learning for Predicting Firefighters' Interventions Per Type of Mission
  8th International Conference on Control, Decision and Information Technologies (CoDIT'22), May 17‐20, 2022, Istanbul. (https://ieeexplore.ieee.org/document/9804035)
• Forecasting the Number of Firemen Interventions Using Exponential Smoothing Methods: A Case Study
  The 36th International Conference on Advanced Information Networking and Applications (AINA‑2022), University of Technology Sydney (UTS), Sydney, Australia April 13 ‑ 15, 2022 (https://link.springer.com/chapter/10.1007/978‑3‑030‑99584‑3_50)
• Anomalies and Breakpoint Detection for a Dataset of Firefightersʼ Operations During the COVID‑19 Period in France Information Systems and Technologies (WorldCist) 10th WorldCist'22, 12 – 14 April 2022, Budva, Montenegro (https://link.springer.com/chapter/10.1007/978‑3‑031‑04826‑5_1)
• Time Series Forecasting for the Number of Firefighters Interventions
  The 35th International Conference on Advanced Information Networking and Applications (AINA‑2021), Toronto, CANADA (https://link.springer.com/chapter/10.1007/978‑3‑030‑75100‑5_4)
• Major earthquake event prediction using various machine learning algorithms
  2019 International Conference on Information and Communication Technologies for Disaster Management (ICT‑DM), Paris, 18‑20 Dec. 2019 (https://ieeexplore.ieee.org/abstract/document/9032983)

Conferences:

• K-mean Clustering: a case study in Yvelines, Ile-de-France
  2012 14th IEEE International Conference on Computational Intelligence and Communication Networks, 4‑6 Dec. 2022 (https://ieeexplore.ieee.org/document/10008344/)
• Predicting fire brigades' operations based on their type of interventions
  International Wireless Communications and Mobile Computing Conference (IWCMC 2022), May 30 ‑ June 3, 2022, Dubrovnik, Croatia
  (https://ieeexplore.ieee.org/document/9825380)
• Machine Learning for Predicting Firefighters' Interventions Per Type of Mission
  8th International Conference on Control, Decision and Information Technologies (CoDIT'22), May 17‐20, 2022, Istanbul.
  (https://ieeexplore.ieee.org/document/9804035)
• Forecasting the Number of Firemen Interventions Using Exponential Smoothing Methods: A Case Study
  The 36th International Conference on Advanced Information Networking and Applications (AINA‑2022), University of Technology Sydney (UTS), Sydney, Australia April 13 ‑ 15, 2022 (https://link.springer.com/chapter/10.1007/978‑3‑030‑99584‑3_50)
• Anomalies and Breakpoint Detection for a Dataset of Firefightersʼ Operations During the COVID‑19 Period in France Information Systems and Technologies (WorldCist) 10th WorldCist'22, 12 – 14 April 2022, Budva, Montenegro (https://link.springer.com/chapter/10.1007/978‑3‑031‑04826‑5_1)
• Time Series Forecasting for the Number of Firefighters Interventions
  The 35th International Conference on Advanced Information Networking and Applications (AINA‑2021), Toronto, CANADA (https://link.springer.com/chapter/10.1007/978‑3‑030‑75100‑5_4)
• Major earthquake event prediction using various machine learning algorithms 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT‑DM), Paris, 18‑20 Dec. 2019 (https://ieeexplore.ieee.org/abstract/document/9032983)

Teaching:

With over eight years of teaching experience at some of the most respected universities in the Kingdom of Saudi Arabia, I have honed a deep and comprehensive understanding of both the theoretical and practical dimensions of computer science, information technology, software engineering, computer engineering, and network engineering. My academic journey commenced at Prince Mohammad Bin Fahd University, where I taught and conducted labs across a broad spectrum of disciplines, including Programming Languages, Database Systems, Web Programming, Network Management, and more than 15 other specialized courses. This extensive experience of delivering lectures in different department, has paved the way for my current position as an Assistant Professor at Al Yamamah University, where I continue to deliver lectures, design and develop course materials, and mentor students in software and network engineering, fostering an environment that nurtures innovation and critical thinking.

Services: