Prof Dr Alaa Sheta Southern Connecticut State University, United States
He earned his Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, completing his studies from August 1994 to August 1997. His dissertation, titled “Identification and Control of Dynamical Systems Using Genetic Algorithms,” reflects his expertise in artificial intelligence, machine learning, and computational intelligence. During his academic journey, he worked under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. With a diverse range of research interests, his contributions span across data science, digital image processing, data mining, software engineering, software reliability modeling, software cost estimation, identification and control, autonomous systems, robotics, information systems, computer vision, and computer architecture. His comprehensive knowledge and research in these domains showcase his dedication to advancing technology and understanding complex systems.
Education:
He holds a Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, where he conducted groundbreaking research on “Identification and Control of Dynamical Systems Using Genetic Algorithms” from August 1994 to August 1997, under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. Prior to his doctoral studies, he earned an M.Sc. from the Electronics and Communication Engineering Department at Cairo University, Cairo, Egypt, specializing in “Robust Controller Design of Large Scale Uncertain Dynamical Systems” from August 1989 to August 1994, under the guidance of Prof. Mohamed F. Hassan. His academic journey began with a B.E. from the same department at Cairo University, covering the period from August 1983 to July 1988. His educational background reflects a deep commitment to advancing knowledge in the fields of information technology, engineering, and control systems.
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Experience:
He currently holds the position of Tenured Professor in the Computer Science Department within the College of Arts and Sciences at Southern Connecticut State University since the fall of 2022. Prior to this, he served as an Associate Professor in the same department from the fall of 2019 to the fall of 2021. His academic journey includes roles as an Assistant Professor and later as a Professional Assistant Professor in the Department of Computing Science at Texas A&M University-Corpus Christi, where he contributed from 2017 to the summer of 2019 and from 2016 to 2017, respectively. Before joining Texas A&M, he served as a Professor and Department Chair in the Computers and Systems Department at the Electronics Research Institute (ERI) under the Ministry of Scientific Research in Cairo, Egypt, from 2015 to 2016. His extensive experience and leadership roles underscore his commitment to advancing computer science education and research.
Honors and Awards:
He is a distinguished professional with a wealth of accomplishments in the field of technology and research. Holding the title of IEEE Senior Member since Fall 2021, he has made significant contributions to the realm of sleep apnea diagnosis, garnering attention for his innovative work. The Southern News featured his pioneering approach in an article titled “Sleep Apnea Diagnosis Simplified” on November 5, 2021, highlighting the impact of his research. His expertise extends to machine learning and AI-based applications for efficient sleep apnea diagnosis, as showcased in a YouTube interview on October 25, 2021, and an insightful session at the Future Technology Conference on November 26, 2019. Notably, he received the Best Paper Award at the 2nd International Conference Europe Middle East & North Africa Information Systems and Technologies (EMENA-ISTL2018) in Fez, Morocco, in October 2018. His accolades also include the Best Citation Prize from Taif University in 2013 and the Best Poster Award at the SGAI International Conference on Artificial Intelligence in Cambridge, UK, in December 2011. With a rich history as a visiting scientist at esteemed institutions such as Tennessee Technological University (TTU) and DeMontfort University, he continues to make groundbreaking contributions to the intersection of technology and healthcare.
Publications:
- A mobile robot path planning using genetic algorithm in static environment Cited By : 317, Published By : 2008
- Estimation of the COCOMO model parameters using genetic algorithms for NASA software projects Cited By : 205, Published By : 2006
- A comparison between regression, artificial neural networks and support vector machines for predicting stock market index Cited By : 180, Published By : 2015
- Time-series forecasting using GA-tuned radial basis functionsĀ Cited By : 143, Published By : 2001
- A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm Cited By : 137, Published By : 2021
- Image enhancement using particle swarm optimization Cited By : 107, Published By : 2007
- Prediction of software reliability: A comparison between regression and neural network non-parametric models Cited By : 104, Published By : 2001
- Business Intelligence and Performance Management – Theory, Systems and Industrial Applications Cited By : 90, Published By : 2013
- Development of software effort and schedule estimation models using soft computing techniques Cited By : 81, Published By : 2008
- Energy optimization in wireless sensor networks using a hybrid k-means PSO clustering algorithm Cited By : 80, Published By : 2016