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 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.
• [Service] Dr. Ahmed served as the Student Program Chair at BDCAT 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.
• [Publication] One Full Paper Accepted at the Prestigious IEEE ACCESS Journal 2021 (Impact Factor: 3.745).
• [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.
• [Publication] One Full Paper Accepted at MobiQuitous 2019.
• [Award] 1^st place at the Research Week Creative Activities Display in PVAMU 2019.
• [Grant] Bechtel Corporation has Awarded Dr. Ahmed $10k to Support his Research in 2019.
• [Media] Dr. Ahmed’s Research is Featured at the PVAMU Website and Research Magazine in 2019.
• [Grant] Dr. Ahmed received the PVAMU Faculty Research Development grant with a value of $20k in 2018.
• [Media] Dr. Ahmed’s research about emergency management is featured on the PVAMU Website!
• [Award] Best poster award (Audience Choice) at ICDCS 2017.

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. Here is a selected list of publications:

• 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 Anitha Palusa. “A Location-based Mobile Advertising System for Small-to-Medium Businesses.” In Proceedings of the the EAI MTYMEX 2021, pages 1–20, Monterrey, Mexico, 2021; https://doi.org/10.1007/978-3-031-07670-1_1
• 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. “A privacy‐preserving mobile location‐based advertising system for small businesses.” Wiley Engineering Reports, vol. 3, no. 11, pp. 1–15, 2021; https://doi.org/10.1002/eng2.12416
• 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. “On Developing a Runtime Environment for Heterogeneous Distributed Computing.” Global Journal of Engineering Sciences, vol. 7, no. 2, pp. 1–4, 2021; http://dx.doi.org/10.33552/GJES.2021.07.000659
• 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, Abel Olumide, Adeoluwa Akinwa and Mohamed Chouikha. “Constructing 3D Maps for Dynamic Environments using Autonomous UAVs.” In Proceedings of the EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous ’19), pages 504–513, Houston, USA, 2019; https://doi.org/10.1145/3360774.3368200
• Ahmed Abdelmoamen Ahmed. “A Model and Middleware for Composable IoT Services.” In Proceedings of the International Conference on Internet Computing & IoT (ICOMP ’19), pages 108–114, Las Vegas, USA, 2019.
• Ahmed Abdelmoamen Ahmed and Tochukwu Eze. “An Actor-Based Runtime Environment for Heterogeneous Distributed Computing” In Proceedings of the International Conference on Parallel & Distributed Processing (PDPTA ’19), pages 37–43, Las Vegas, USA, 2019.
• Ahmed Abdelmoamen Ahmed and Nadeem jamali. “A Model for Representing Mobile Distributed Sensing-Based Services.” In Proceedings of the IEEE International Conference on Services Computing (SCC ’18), pages 282–286, San Francisco, USA, 2018.
• 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.
• Ahmed Abdelmoamen Ahmed Dezhong Wang, Nadeem Jamali. “Approaching Actor-Level Resource Control for Akka” In Proceedings of the IEEE Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP ’18), pages 1–15, Vancouver, Canada, 2018.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “An Actor-Based Middleware for Crowd-Sourced Services.” EAI Endorsed Transactions, vol. 17, pages 1–15, 2017;http://dx.doi.org/10.4108/eai.13-9-2017.153070
• 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)
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “Supporting Resource Bounded Multitenancy in Akka.” In Proceedings of the ACM SIGPLAN Conference Companion on Systems, Programming, Languages and Applications (SPLASH ’16), pages 33–34, Amsterdam, The Netherlands, 2016.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “CSSWare: A middleware for scalable mobile crowd-sourced services.” In Proceedings of the EAI International Conference on Mobile Computing, Applications and Services (MobiCASE ’15), pages 181–199, Berlin, Germany, 2015.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “ModeSens: An Approach for Multi-Modal Mobile Sensing.” In Proceedings of the ACM SIGPLAN Conference Companion on Systems, Programming, Languages and Applications (SPLASH ’15), pages 40–41, Pittsburgh, USA, 2015.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “CSSWare: An Actor-Based Middleware for Mobile Crowd-Sourced Services.” In Proceedings of the EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous ’15), pages 287–288, Coimbra, Portugal, 2015.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “ShareSens: An Approach to Optimizing Continuous Mobile Sensing Workloads.” In Proceedings of the IEEE International Conference on Mobile Services (MS ’15), pages 89–96, New York, USA, 2015.
• Ahmed Abdelmoamen Ahmed and Haitham Hamza. “On Securing Atomic Operations in Multicast AODV.” International Journal of Mobile and Adhoc Network, vol. 28, pages 137–159, 2015.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “Coordinating Crowd-Sourced Services.” In Proceedings of the IEEE International Conference on Mobile Services (MS ’14), pages 92–99, Alaska, USA, 2014.
• Ahmed Abdelmoamen Ahmed and Nadeem Jamali. “An Actor-Based Approach to Coordinating Crowd-Sourced Services.” International Journal of Services Computing (IJSC), vol. 2, pages 43–55, 2014.
• Ahmed Abdelmoamen Ahmed, Haitham Hamza,and Imane Saroit. “Secure Multicast Routing Protocols in MANETs.” International Journal of Communication Systems, John Wiley, vol. 27, pages 2808–2831, 2013.
• Ahmed Abdelmoamen Ahmed, Haitham Hamza,and Imane Saroit. “New attacks and efficient countermeasures for multicast aodv.” In Proceedings of the international conference on High-Capacity Optical Networks and Enabling Technologies (HONET ’10), pages 51–57, Cairo, Egypt, 2010.
• Ahmed Abdelmoamen Ahmed, Haitham Hamza,and Imane Saroit. “A survey on security-enhanced multicast routing protocols in Mobile Ad hoc Networks.” In Proceedings of the International Conference on High-Capacity Optical Networks and Enabling Technologies (HONET ’10), pages 262–268, Cairo, Egypt, 2010.

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)
• 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)
• COMP 4311: Programming Languages (Spring 2019)
• COMP 4073: ST/Internet of Things (Spring 2021)

Graduate Courses

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

Students Supervised

• 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. “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. “An AI-Powered Car Towing Management System using Automatic Number Plate Recognition”
• Gopireddy Harshavardhan Reddy (2020), Master’s in Computer Science. “A Mobile-Based System for Detecting Plant Leaf Diseases using Deep Learning”
• Gbenga Stephen Agunsoye (2020), Master’s in Computer Science. “NetScrapper: A Network Traffic Classifier for Online Applications using Deep Learning”
• Mathias Echi (2020), Master’s in Computer Information Systems. “Hawk-Eye: An AI-Powered Threat Detector for Smart Surveillance Cameras”
• Adedamola Olujemisin (2019), Master’s in Computer Science. “Developing a Bidding System for Allocating Farming-Land to Small Farmers”
• Anitha Palusa (2019), Master’s in Computer Science. “A Location-based Advertising System for Small-to-Medium Businesses”
• Sapna Jaiswal (2019), Master’s in Computer Science. “SmartDelete: A Mobile App for Scheduling Automatic Deletion of Personal Photos”
• Adeoluwa Akinwa (2019), Master’s in Computer Science. “Developing a Managed Inventory Tag Generation Web Application for Bechtel Corporation”
• Olumide Stephen Abel (2019), Master’s in Computer Information Systems. “Constructing 3D Maps for Dynamic Environments using Autonomous UAVs and LIDAR Technology”
• Oladoja Abiose (2019), Master’s in Computer Science. “Stock Price Prediction Using Deep Learning and Sentiment Analysis”
• Suhib Al Omary (2019), Master’s in Computer Science. “Simulating a Smart Irrigation System using IoT Technology”
• Tochukwu Eze (2018), Master’s in Computer Information Systems. “Prototyping Distributed Computing Using the Actor Model of Concurrency”
• Brian Miller (2018), Master’s in Computer Information Systems. “Prototyping Smart Parking using IoT Technology”
• Idaresit Umoh (2018), Master’s in Computer Information Systems. “E-Campaign: A Storytelling System for Blood Donation”
• Veena Boppana (2018), Master’s in Computer Information Systems. “Studying Fast Big Data Streams using Spark”
• Nithin Babu (2018), Master’s in Computer Science. “A Digital Market for Small Farmers’ Production”
• Adewale Adeniji (2018), Master’s in Computer Information Systems. “iFIND: A Website for Finding Lost Items on Prairie View A&M University”