Ahmed Abdelmoamen Ahmed

Dr. Ahmed is an Associate Professor at Prairie View A&M University (PVAMU). He joined the Department of Computer Science at PVAMU in the fall of 2017, right after earning his Ph.D. degree in Computer Science from the University of Saskatchewan in August 2017. His research interests are in the fields of Parallel and Distributed Systems with applications in various domains such as Internet of Things (IoT) and Artificial Intelligence (AI). After joining PVAMU, he is actively involved in several research projects, including IoT & Machine Learning applications. He is teaching undergraduate and graduate courses, and he is eager to transfer his passion and experience to underrepresented students at PVAMU by involving them in research. He has extensive experience in mentoring undergraduate and graduate students to do research.

News

• [Media] Dr. Ahmed’s Profile is Featured at PVAMU website in 2025.
• [Award] Won the Faculty Senate Award for Research Excellence at PVAMU in 2025.
• [Award] Won the Faculty Service Award at PVAMU in 2024.
• [Media] Dr. Ahmed’s RIA NSF funded project is featured at PVAMU website in 2023.
• [Grant] Dr. Ahmed received the prestigious RIA NSF Award (as sole PI) with a total amount of $300k in 2023.
• [Grant] Dr. Ahmed received an HBCU-EiR NSF award (as Co-PI) with a total amount of $1M in 2023.
• [Award] Won the Outstanding Faculty Service Award in the College of Engineering in 2023.
• [Grant] Dr. Ahmed received an HBCU-RISE NSF award (as Co-PI) with a total amount of $1M in 2023.
• [Award] Won the Outstanding Early Researcher Award in 2022.
• [Media] Dr. Ahmed’s USDA-CBG funded project is featured at PVAMU website in 2022.
• [Grant] Dr. Ahmed received an USDA Award (as Co-PI) with a total amount of $750k over 3 years in 2022.
• [Award] Won the Faculty Senate Award for Teaching Excellence 2022.
• [Media] Dr. Ahmed’s USDA-AFRI funded project is featured at PVAMU website in 2022.
• [Media] Dr. Ahmed’s NSF-funded project is featured at PVAMU website in 2020.
• [Media] Less than One Second: Dr. Ahmed’s research is featured at PVAMU website in 2020.
• [Grant] Dr. Ahmed received an NSF Award (as PI) with a total amount of $400k over 3 years in 2020.
• [Award] 1^st place at the Research Week Creative Activities Display in PVAMU 2019.
• [Media] Dr. Ahmed’s Research is Featured at the PVAMU Website.
• [Media] Dr. Ahmed’s research about emergency management is featured on the PVAMU Website!

Selected Publications

Dr. Ahmed is a prolific writer committed to sharing ideas with other experts in the field. Dr. Ahmed published numerous peer-reviewed papers at prestigious international conferences and journals. Check my Google Scholar for the Full List of Publications. Here is a selected list of publications:

• Nseabasi Udondian, Daniel Ogbuigwe; Mostafa M. Selim, Ahmed Abdelmoamen Ahmed, Madi Bacon, and Daigle Courtney. “A Machine Learning Framework for Large-Scale Behavioral Monitoring to Assess Thermotolerance in Dairy Cows.” IEEE Access 2026, vol. 14, pp. 326-342.https://doi.org/10.1109/ACCESS.2025.3648965
• Mehnaz Antora, Fyaz Rahman, Rahul Debnath, Ahmed Abdelmoamen Ahmed, and MD Bin Alam. “A Scalable Hydrology-Informed Monitoring System for Early Detection of Slope Failures Using IoT and ML.” IEEE Access 2026, vol. 14, pp. 10735-10759. https://doi.org/10.1109/ACCESS.2026.3654856
• Mohammad R. Miah, Lija Akter, Ahmed Abdelmoamen Ahmed, Louis Ngamassi, and Thiagarajan Ramakrishnan. “An ML-Based Approach to Leveraging Social Media for Disaster Type Classification and Analysis Across World Regions.” Computers 2026, vol. 15, issue 16. https://doi.org/10.3390/computers15010016
• Ahmed A. Abdel-Wareth and Ahmed Abdelmoamen Ahmed. “Revolutionizing Poultry Farming: AI Innovations for Sustainable Resource Management.” Book Chapter in Artificial Intelligence and the Water-Energy-Food Nexus Innovations for Sustainable Resource Management, 1st Edition, 2026, ISBN: 9780443443886.
• Jill Italiya, Ahmed Abdelmoamen Ahmed, Ahmed A. Abdel-Wareth and Jayant Lohakare. “An AI-Based System for Monitoring Laying Hen Behavior Using Computer Vision for Small-Scale Poultry Farms.” Agriculture 2025, 15, 1963.https://doi.org/10.3390/agriculture15181963
• Sejal Bhattad,Ahmed Abdelmoamen Ahmed, Ahmed A. Abdel-Wareth and Jayant Lohakare. “An IoT-Based System for Measuring Diurnal Gas Emissions of Laying Hens in Smart Poultry Farms.” MDPI AgriEngineering 2025, 7, 267; https://doi.org/10.3390/agriengineering7080267
• Igwenagu, Udochukwu Ikechukwu, Rahul Debnath, Ahmed Abdelmoamen Ahmed, and Md Jobair Bin Alam. “An Integrated Approach for Earth Infrastructure Monitoring Using UAV and ERI: A Systematic Review.” MDPI Drones 9, no. 3: 225, 2025; https://doi.org/10.3390/drones9030225
• Rahul Debnath, Ahmed Abdelmoamen Ahmed, and M. J. B. Alam. “On Developing Smart IoT-Based Distributed System for Remote Detection of Slope Movements.” In Proceedings of the International IEEE Conference on Computing, Networking, and Communications (ICNC 2025), Honolulu, Hawaii, USA, 2025; https://doi.org/10.1109/ICNC64010.2025.10993553
• Ahmed Abdelmoamen Ahmed and Vratikaben Bhadani. “WanderWatch: LoRaWAN-Based Monitoring System for Wandering Risk Patients.” In Proceedings of the International IEEE Conference on Computing, Networking, and Communications (ICNC 2025), Honolulu, Hawaii, USA, 2025;https://doi.org/10.1109/ICNC64010.2025.10993702
• Md. Jobair Bin Alam, Luis Salgado Manzano, Rahul Debnath, Ahmed Abdelmoamen Ahmed, Synia Williams, and Markus Hartsfield. “An IoT-Based Monitoring System for Detecting Slope Movement.” In Proceedings of the Geotechnical Frontiers 2025 Conference, Nashville, Kentucky, 2025; https://doi.org/10.1061/9780784485996.057
• Inadagbo, Oluwatosin, Genevieve Makowski, Ahmed Abdelmoamen Ahmed and Courtney Daigle. “On Developing a Machine Learning-Based Approach for the Automatic Characterization of Behavioral Phenotypes for Dairy Cows Relevant to Thermotolerance.” AgriEngineering 6, no. 3: 2656-2677, 2024; https://doi.org/10.3390/agriengineering6030155
• Ahmed Abdelmoamen Ahmed and Oluwayemisi Alabi. “Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review.” IEEE Access, vol. 12, pages 102219-102241, 2024; https://doi.org/10.1109/ACCESS.2024.3429205
• Alam, Md Jobair Bin, Luis Salgado Manzano, Rahul Debnath, and Ahmed Abdelmoamen Ahmed. “Monitoring Slope Movement and Soil Hydrologic Behavior Using IoT and AI Technologies: A Systematic Review.” MDPI Hydrology, vol. 11, no. 8: 111, 2024; https://doi.org/10.3390/hydrology11080111
• Ahmed Abdelmoamen Ahmed and Jamil Ahmed. “An Image-based Plant Weed Detector using Machine Learning.” In Proceedings of the International IEEE Conference on Computing, Networking and Communication (ICNC ’24), Hawaii, USA, 2024; https://doi.org/10.1109/ICNC59896.2024.10555934
• Ahmed Abdelmoamen Ahmed and Bernard Nyarko. “Smart-Watcher: An AI-Powered IoT Monitoring System for Small-Medium Scale Premises.” In Proceedings of the International IEEE Conference on Computing, Networking and Communication (ICNC ’24), Hawaii, USA, 2024; https://doi.org/10.1109/ICNC59896.2024.10556297
• Ahmed Abdelmoamen Ahmed and Nneoma Okoroafor. “An ML-Powered Risk Assessment System for Predicting Prospective Mass Shooting.” MDPI Computers, vol. 12, no. 2:42, pp. 1-16, 2023; https://doi.org/10.3390/computers12020042
• Ahmed Abdelmoamen Ahmed. “An Actor-Based Formal Model and Runtime Environment for Resource-Bounded IoT Services.” MDPI Algorithms, vol. 15, no. 11, pp. 1-19, 2022; https://doi.org/10.3390/a15110390
• Ahmed Abdelmoamen Ahmed, Kiranmai Bellam, Yonggao Yang and Michael Preuss. “Integrating IoT Technologies into the CS Curriculum at PVAMU: A Case Study.” MDPI Education Sciences, vol. 12, no. 11, pp. 1-24, 2022; https://doi.org/10.3390/educsci12110840
• Kelechi Eze, Ahmed Abdelmoamen Ahmed and Cajetan Akujuobi. “SecIoTComm: An Actor-Based Model and Framework for Secure IoT Communication.” MDPI Sensors, vol. 22, no. 19, pp. 1-23, 2022; https://doi.org/10.3390/s22197313
• Ahmed Abdelmoamen Ahmed and Sheikh Ahmed. “A Real-Time Car Towing Management System Using ML-Powered Automatic Number Plate Recognition.” MDPI Algorithms, vol. 14, no. 11, pp. 1-17, 2021; https://doi.org/10.3390/a14110317
• Ahmed Abdelmoamen Ahmed and Gbenga Agunsoye. “A Real-Time Network Traffic Classifier for Online Applications Using Machine Learning.” MDPI Algorithms, vol. 14, no. 8, pp. 1-20, 2021; https://doi.org/10.3390/a14080250
• Ahmed Abdelmoamen Ahmed and Gopireddy Harshavardhan Reddy. “A Mobile-Based System for Detecting Plant Leaf Diseases Using Deep Learning.” MDPI AgriEngineering, vol. 3, pp. 478-493, 2021; https://doi.org/10.3390/agriengineering3030032
• Ahmed Abdelmoamen Ahmed and Mathias Echi. “Hawk-Eye: An AI-Powered Threat Detector for Intelligent Surveillance Cameras.” IEEE Access, vol. 9, pp. 63283–63293, 2021; https://doi.org/10.1109/ACCESS.2021.3074319
• Ahmed Abdelmoamen Ahmed, Suhib Al Omari, Ripendra Awal, Ali Fares, and Mohamed Chouikha. “A distributed system for supporting smart irrigation using Internet of Things technology.” Wiley Engineering Reports, vol. 3, no. 7, pp. 1–13, 2021; https://doi.org/10.1002/eng2.12352
• Ahmed Abdelmoamen Ahmed, Abel Olumide, Adeoluwa Akinwa and Mohamed Chouikha. “A Robotic Scout UAV for Mapping Dynamic Environments at Bechtel Corporation.” In Proceedings of the National Conference for Industry and Education Collaboration (CIEC ’20), pages 1–20, Orlando, USA, 2020; https://doi.org/10.18260/1-2-60-38692
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “Opportunistic Sharing of Continuous Mobile Sensing Data for Energy and Power Conservation.” IEEE Transactions on Services Computing (TSC), vol. 13, no. 3, pp. 503–514. 2020; https://doi.org/10.1109/TSC.2017.2705685
• Ahmed Abdelmoamen Ahmed. “A Modular Approach to Programming Multi-Modal Sensing Applications.” In Proceedings of the IEEE International Conference on Cognitive Computing (ICCC ’18), pages 91–98, San Francisco, USA, 2018. https://doi.org/10.1109/ICCC.2018.00021
• Ahmed Abdelmoamen Ahmed, Dezhong Wang and Nadeem Jamali. “Supporting Resource Control for Actor Systems in Akka.” In Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS ’17), pages 2642–2645, Atlanta, USA, 2017. (Best Poster Award) https://doi.org/10.1109/ICDCS.2017.291

Teaching

Undergraduate Courses

• COMP 1336: Computer Science I (Fall 2017–2018, Spring 2018, Fall 2021)
• COMP 1121: Computer Science I Lab (Fall 2017–2018, Spring 2018, Fall 2021)
• COMP 1337: Computer Science II (Fall 2022–2023; Spring 2020-2023)
• COMP 1122: Computer Science II Lab (Fall 2022–2023; Spring 2020-2023)
• COMP 2033: Assembly Language (Spring 2018)
• COMP 2336: Data Structures (Spring 2022, Fall 2024–2025)
• COMP 3223: Software Engineering (Spring 2020)
• COMP 3305: Analysis of Algorithms (Spring 2022)
• COMP 3343: Internet of Things (Spring 2023)
• COMP 3395: Database Management (Fall 2019–2020, Spring 2025–2026)
• COMP 4311: Programming Languages (Spring 2019, 2024–2026)
• COMP 4073: ST/Internet of Things (Spring 2021)

Graduate Courses

• COMP 5311: Programming Languages (Fall 2018–2025)
• CINS 5301: Information Resources Management (Fall 2017–2025)
• CINS 5306: Data Structures and Algorithms (Spring 2019–2021)
• CINS 5307: Information Technology (Spring 2018–2019, 2023–2025)

Selected Graduate Students Supervised

• Rahul Debnath (2026). “A Hierarchical Multi-Scale Monitoring Framework for Slope Stability Assessment Using IoT Sensors, RGB Imagery, and Electrical Resistivity Imaging.” MSc Thesis, Prairie View A&M University.
• Mehnaz Hossain Antora (2025), “An IoT-Integrated Machine Learning Early-Warning System for Rainfall-Induced Landslides Informed by SWCC Analysis.” MS Final Project, PVAMU.
• Oluwaseyi Daniel Oladejo (2025), “Leveraging Cross-Domain Transfer Learning for Enhanced Multi-Protocol Network Intrusion Detection.” MS Final Project, PVAMU.
• Nseabasi Samuel Udondian (2025), “Automatic Characterization of Phenotypes for Dairy Cows Relevant to Thermotolerance using Computer Vision and Machine Learning Techniques.” MS Final Project, PVAMU.
• Sejal Bhattad (2025). “An IoT-based System for measuring Gas Emissions in Poultry Farms.” MS Final Project, Prairie View A&M University.
• Jill Italiya (2025). “An AI-Based System for Monitoring Chicken Behaviors Using Computer Vision for Smart Poultry Farming.” MS Final Project, PVAMU.
• Vratikaben Prakashbhai Bhadani (2024), Master’s in Computer Science, PVAMU. “WanderWatch: LoRaWAN-Based Monitoring System for Wandering Risk Patients”
• Oluwatosin Inadagbo (2024), Master’s in Computer Science, PVAMU. “Developing a Machine Vision-Based Method for the Automatic Characterization of Phenotypes for Dairy Cows Relevant to Thermotolerance”
• Nneoma Okoroafor (2023), Master’s in Computer Science. “An ML-Powered Alarm System for Predicting Prospective Mass Shooting”
• Bernard Nyarko (2022), Master’s in Computer Science, PVAMU. “Smart-Monitor: An AI-Powered IoT Monitoring System for Small-Medium Scale Premises”
• Jamil Ahmed (2022), Master’s in Computer Science. “An Image-based Plant Weed Detector using Machine Learning”
• Sheikh Tareq Ahmed (2020), Master’s in Computer Science, PVAMU. “An AI-Powered Car Towing Management System using Automatic Number Plate Recognition”
• Gopireddy Harshavardhan Reddy (2020), Master’s in Computer Science, PVAMU. “A Mobile-Based System for Detecting Plant Leaf Diseases using Deep Learning”
• Gbenga Stephen Agunsoye (2020), Master’s in Computer Science, PVAMU. “NetScrapper: A Network Traffic Classifier for Online Applications using Deep Learning”
• Mathias Echi (2020), Master’s in Computer Information Systems, PVAMU. “Hawk-Eye: An AI-Powered Threat Detector for Smart Surveillance Cameras”