Dr. Moceheb Lazam Shuwandy is a Lecturer and Head of the Cybersecurity Department at the College of Computer Science and Mathematics, Tikrit University. He specializes in cybersecurity, artificial intelligence, and decision-making, with extensive experience in data collection and analysis from reputable academic sources. His research focuses on advanced encryption methods, cybersecurity frameworks, and AI-driven security solutions. Dr. Shuwandy has published numerous high-impact papers in Q1 journals and serves as a reviewer for leading cybersecurity publications. With an h-index of 11 on Google Scholar and 8 on Scopus, he is actively involved in developing cybersecurity curricula and applying national accreditation standards.
Dr. Maytham M. Hammood is an Associate Professor in the Department of Computer Science at Tikrit University, specializing in computer science, information security, and data science. He has authored numerous research papers, including works on steganography in colored images based on biometrics. Dr. Hammood's research interests encompass authentication, encryption, and cloud computing security. He has an h-index of 11, with his work cited over 378 times. Dr. Hammood is actively engaged in advancing the fields of information security and data science through both his teaching and research endeavors.
Dr. Ayad A. Yass is a Lecturer in the Computer Science Department at Tikrit University, specializing in Information Systems and Cybersecurity. His research interests include artificial neural networks, flow dynamics, and hydraulic engineering. Dr. Yass has co-authored several publications, such as "Study the Affecting Factors on Free Overfall Flow and Bed Roughness in Semi-Circular Channels by Artificial Neural Network," which examines the application of neural networks in predicting flow and roughness in hydraulic channels. His work has been cited over 186 times, reflecting his contributions to the fields of computer science and engineering.
Dr. Salwa Khalid Abdulateef is an Assistant Professor in the Department of Computer Science at Tikrit University, Iraq. She earned her B.Sc. and M.Sc. degrees in Computer Science from Basra University, Iraq. Dr. Abdulateef's research interests encompass artificial intelligence, computer vision, image processing, data science, and information hiding. She has authored over 21 publications, which have garnered more than 69 citations. Notable among her works is a comprehensive review on image segmentation techniques, which discusses various methods and their applications in object detection and image recognition. Additionally, she has explored the optimization of extreme learning machines using league championship algorithms for food image classification. Dr. Abdulateef has also contributed to research on feature weighting for Parkinson's disease identification using single hidden layer neural networks, aiming to enhance diagnostic accuracy through machine learning techniques. Her work on comparing components of different color spaces seeks to enhance image representation, particularly in the context of food images. In the educational domain, Dr. Abdulateef has investigated student satisfaction with mobile learning platforms, employing fast learning networks to predict and improve educational outcomes. Through her diverse research endeavors, Dr. Abdulateef continues to make significant contributions to the fields of computer science and image processing.
Rawan Al-Sharida is a lecturer at Tikrit University's Faculty of Cyber Security. She holds a B.Sc. from Tikrit University and an M.Sc. from the University of Arkansas at Little Rock (UALR), US. Currently, she is a Ph.D. candidate at UTM. Her research focuses on Security Analytics, Cybersecurity, and Human-Computer Interaction.
Dr. Sahar Lazim Qaddoori is a Lecturer in the Electronic Department at the Electronics Engineering College, Ninevah University, Mosul, Iraq. She earned her Master of Science (M.Sc.) in Computer Engineering in 1982. Her research interests include smart metering, anomaly detection, and embedded systems. Dr. Qaddoori has co-authored several publications, such as "An Embedded and Intelligent Anomaly Power Consumption Detection System Based on Smart Metering" and "An Embedded Intrusion Detection and Prevention System for Home Area Networks in Advanced Metering Infrastructure." Her work has been cited over 20 times, reflecting her contributions to the field of electronic engineering.
Dr. Saadi Hamed Thalij Al-Luhaibi is an Assistant Professor in the Department of Cybersecurity at the College of Computer Science and Mathematics, University of Tikrit, Iraq. He earned his Bachelor's degree in Computer Science from the University of Mosul in 2003, followed by a Master's degree in Information Technology from Sikkim Manipal University in 2009. He completed his Ph.D. in Distributed Databases at Yildiz Technical University, Istanbul, in 2019.
Dr. Al-Luhaibi's research focuses on distributed databases, data allocation optimization, and the application of artificial intelligence algorithms to enhance database performance. His notable publications include studies on data allocation using the Chicken Swarm Optimization algorithm and the evaluation of machine learning classification algorithms for COVID-19 case assessments.
In addition to his academic pursuits, Dr. Al-Luhaibi has held several administrative positions at the University of Tikrit, including Head of the Database Unit (2004–2007), Oracle Workshop Coordinator (2007), and Assistant Dean for Administrative Affairs (2019–2020). He has also supervised multiple master's theses in areas such as machine learning, genetic algorithms, and distributed database synchronization.
Maath Frman is a Lecturer in the Department of Computer Science at the University of Tikrit, holding a Master of Science degree. His research interests include lineament mapping using shaded relief images derived from Landsat-9 imagery, with a focus on regions. Frman actively collaborates with his scientific community through platforms like ResearchGate.
Abdul Salam Hamid Qatibani obtained his Bachelor’s degree in Computer Science from the College of Computer Science and Mathematics - Tikrit University in 2021. He worked in the College of Computer Science and Mathematics (2024 - present), his research topics mainly include: artificial intelligence, security, and data science.
Noor Saud Abd received her Bachelor's Degree in Computer Science from Tikrit University in 2008, then completed his Master's degree in the same field in 2021. She worked as a lecturer at Tikrit University (from 2022 to date), her research topics mainly include: artificial Intelligence, security, and data science.
