Dariush Ebrahimi

Grduate Student Opportunaty:

Currently I am accepting talented graduate students for the Thesis-Based Master in Applied Computing (MAC) program. If you are interested, kindly send me your CV, transcripts, and statement of purpose to my email at debrahimi@wlu.ca.

Current Students:

Percy Brown (Master Thesis Program), thesis/project title: Healthcare Monitoring in Smart Cities
Majid Ghasemi (Master Thesis Program), thesis/project title: From Theory to Practice: Challenges in Implementing Reinforcement Learning Algorithms
MD Shahed Hossen (Master Thesis Program), thesis/project title: Optimizing Electric Vehicle Charging and Energy Consumption: Scheduling, Booking, Routing, and Real-Time Traffic Integration

Former Students:

Co-Supervision (Doctorate)

Moataz Shokri (PhD program, co-supervision), thesis/project title: Trajectory Planning of Multiple Drone-cells in Vehicular Networks
Ahmed Al-Hilo (PhD program, co-supervision), thesis/project title: Revenue-driven Video Delivery in Vehicular Networks with Optimal Resource Scheduling
Ibrahim Sorkhoh (PhD program, co-supervision), thesis/project title: Workload Scheduling in Vehicular Networks with Edge Cloud Capabilities
Sayed Ali Mohammad (PhD program, co-supervision), thesis/project title: Scheduling and managing Data at Network Function Virtualization Servers
Elie Al-Haber (PhD program, co-supervision), thesis/project title: Computational Cost and Energy Efficient Task Offloading in Hierarchical Edge-Clouds

Principal Supervision (Thesis Master Program)

Pronab Ghosh, thesis title: Intelligent Vehicle-to-Vehicle Communications with Importance of Fairness and Information Freshness
Seyedmohammad Kashefi Mofrad, thesis title: Efficient Path Planning and Battery Management for Electric Vehicles

Principal Supervision (Project Master Program)

Preetkumar Patel,
Hardik Gunjal,
Project Title: Smart Network Intrusion Detection Systems for Cyber Security of Industrial IoT
Shreya Bandyopadhyay,
Ankit Kundal,
Thesis/Project Title: Misbehavior Detection in VANETs using Tree Based Machine Learning Techniques
Srimanth Vempati,
Aurava Gunturi,
Project Title: Malware Detection for Secure IoT Systems in Smart Cities
Praveen Kumar Venkatesan,
Venkateshwar Reddy Kaluva,
Thesis/Project Title: Prevention of Botnet Attacks in Smart Surveillance Systems
Simranjeet Singh Kapoor,
Manoj Kumar Bhuma,
Project Title: Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes
Yue Liang,
Nikhil Vankayalapati,
Project Title: ML and DL Methods for Better Anomaly Detection in IoT-23 Dataset Cyber Security

Principal Supervision (Undergraduate Students)

Govind Sudarshan (undergraduate student, funded & supported by Mitacs Globalink Research Internship - GRI), thesis/project title: Traffic Management for Autonomous Vehicles
Shekhda Viraj Rajendrabhai (undergraduate student, funded & supported by Mitacs Globalink Research Internship - GRI), thesis/project title: Intelligent Passengers Riding With Minimum Waiting Time
Shantanu Patankar (undergraduate student, funded & supported by Mitacs Globalink Research Internship - GRI), thesis/project title: Intelligent Passengers Riding With Minimum Waiting Time
Liang Zhong (undergraduate student, recipient of Undergraduate Student Research Experience Award Program), thesis/project title: Congestion Reduction on Roads: Traffic Management for Autonomous Vehicles

SELECTED JOURAL PUBLICATIONS:

Helae, Maryam Qusay Yousif, Dariush Ebrahimi, and Fadi Alzhouri. "Data Analytics in the Pharmacology Domain." International Journal of Big Data and Analytics in Healthcare (IJBDAH) 7, no. 1 (2022): 1-16.
Ibrahim Sorkhoh, Dariush Ebrahimi, Chadi Assi, and Sanaa Sharafeddine: “Optimizing Information Freshness for MEC-enabled Cooperative Autonomous Driving”, IEEE Transactions on Intelligent Transportation Systems (2021).
Ali Muhammad, Moataz Shokry, Chadi Assi, Sanaa Sharafeddine, and Dariush Ebrahimi: “Minimizing Age of Information in Multi-Access Edge Computing-assisted IoT Networks”, IEEE Internet of Things Journal (2021).
Ahmed Al-Hilo, Moataz Samir, Chadi Assi, Sanaa Sharafeddine, and Dariush Ebrahimi. "A cooperative approach for content caching and delivery in UAV-assisted vehicular networks." Vehicular Communications (2021): 100391.
Ahmed Al-Hilo, Dariush Ebrahimi, Sanaa Sharafeddine, and Chadi Assi: “Vehicle-Assisted RSU Caching Using Deep Reinforcement Learning”, IEEE Transactions on Emerging Topics in Computing (2021).
Moataz Shokry, Chadi Assi, Sanaa Sharafeddine, Dariush Ebrahimi, and Ali Ghrayeb. "Age of Information Aware Trajectory Planning of UAVs in Intelligent Transportation Systems: A Deep Learning Approach." IEEE Transactions on Vehicular Technology, 69, no. 11 (2020): 12382-12395.
Ahmed Al-Hilo, Moataz Samir, Chadi Assi, Sanaa Sharafeddine, and Dariush Ebrahimi. "UAV-Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management." IEEE Transactions on Intelligent Transportation Systems (2020).
Moataz Shokry, Dariush Ebrahimi, Chadi Assi, Sanaa Sharafeddine, and Ali Ghrayeb: “Leveraging UAVs for Coverage in Cell-Free Vehicular Networks: A Deep Reinforcement Learning Approach”. IEEE Transactions on Mobile Computing (2020).
Ibrahim Sorkhoh, Dariush Ebrahimi, Chadi Assi, Sanaa Sharafeddine, and Maurice Khabbaz. "An infrastructure-assisted workload scheduling for computational resources exploitation in the fog-enabled vehicular network." IEEE Internet of Things Journal 7, no. 6 (2020): 5021-5032.
Dariush Ebrahimi, Sanaa Sharafeddine, Pin-Han Ho, and Chadi Assi. "Autonomous UAV trajectory for localizing ground objects: A reinforcement learning approach." IEEE Transactions on Mobile Computing 20, no. 4 (2020): 1312-1324.
Ahmed Al-Hilo, Dariush Ebrahimi, Sanaa Sharafeddine, and Chadi Assi: “Revenue-driven video delivery in vehicular networks with optimal resource scheduling." Vehicular Communications 23 (2020): 100215.
Samir, Moataz, Dariush Ebrahimi, Chadi Assi, Sanaa Sharafeddine, and Ali Ghrayeb. "Trajectory Planning of Multiple Dronecells in Vehicular Networks: A Reinforcement Learning Approach." IEEE Networking Letters 2, no. 1 (2020): 14-18.
Ibrahim Sorkhoh, Dariush Ebrahimi, Ribal Atallah, and Chadi Assi: “Workload Scheduling in Vehicular Networks with Edge Cloud Capabilities”. IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 8472 - 8486, Sep. 2019.
Dariush Ebrahimi, Sanaa Sharafeddine, Pin-Han Ho, and Chadi Assi. "UAV-aided projection-based compressive data gathering in wireless sensor networks." IEEE Internet of Things Journal 6, no. 2 (2018): 1893-1905.
Dariush Ebrahimi, Wessam Ajib, Halima Elbiaze: “Device-to-Device Data Transfer through Multi-Hop Relay Links Underlaying Cellular Networks”. IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 9669-9680, Oct. 2018.
Dariush Ebrahimi, Chadi Assi, Samir Sebbah: “A Column Generation Method for Constructing and Scheduling Multiple Forwarding Trees in Wireless Sensor Networks”. IEEE Transactions on Wireless Communications 15(9): 6513-6523 (2016).
Dariush Ebrahimi, Chadi Assi: “On the Interaction between Scheduling and Compressive Data Gathering in Wireless Sensor Networks”. IEEE Transactions on Wireless Communications 15(4): 2845–2858 (2016).
Dariush Ebrahimi, Chadi Assi: “Network Coding-Aware Compressive Data Gathering for Energy-Efficient Wireless Sensor Networks”. ACM Transactions on Sensor Networks (TOSN) 11, no. 4 (2015): 61.
Dariush Ebrahimi, Chadi Assi: “Compressive data gathering using random projection for energy efficient wireless sensor networks”. Ad Hoc Networks 16: 105-119 (2014).
Dariush Ebrahimi, Chadi Assi: “A Distributed Method for Compressive Data Gathering in Wireless Sensor Networks”. IEEE Communication Letters 18(4): 624-627 (2014).
Dariush Ebrahimi, Chadi Assi: “Optimal and Efficient Algorithms for Projection-Based Compressive Data Gathering”. IEEE Communication Letters 17(8): 1572-1575 (2013).

SELECTED CONFERENCE PROCEEDINGS

Pronab Ghosh, Thiago Eustaquio Alves De Oliveira, Fadi Alzhouri, and Dariush Ebrahimi. "Maximizing Group-Based Vehicle Communications and Fairness: A Reinforcement Learning Approach." In 2024 IEEE 25th Wireless Communications and Networking (WCNC). IEEE, 2024.
Dariush Ebrahimi, Govind Sudarshan, and Fadi Alzhouri. "BNART: A Novel Centralized Traffic Management Approach for Autonomous Vehicles." In 2024 20th International Conference on the Design of Reliable Communication Networks (DRCN), pp. 1-8. IEEE, 2024.
Dariush Ebrahimi, Seyedmohammad Kashefi Mofrad, Maryam Helae, Sabah Mohammed, and Fadi Alzhouri. "Fastest Route and Charging Optimization of an Electric Vehicle With Battery's Life Consideration." In Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet, Under MSWiM), pp. 39-46. 2023.
Fadi Alzhouri, Hardik Gunjal, Preetkumar Patel, Ahmad Hammad, and Dariush Ebrahimi. "A Smart Network Intrusion Detection System for Cyber Security of Industrial IoT." In 2023 Fourth International Conference on Intelligent Data Science Technologies and Applications (IDSTA), pp. 67-75. IEEE, 2023.
Pronab Ghosh, Dariush Ebrahimi, Fadi Alzhouri, and Thiago Eustaquio Alves De Oliveira. "MCFGV: Maximizing Communications and Fairness for Groups of Vehicles." In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1-7. IEEE, 2023.
Joshua Weston, Brenden Bickert, Caleb Stasiuk, Fadi Alzhouri, and Dariush Ebrahim. "Dynamic Analysis of Demographic Sentiment." In 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), pp. 1-8. IEEE, 2022.
Andrew Motz, Elizabeth Ranta, Adan Sierra Calderon, Quin Adam, Fadi Alzhouri, and Dariush Ebrahimi: " Live Sentiment Analysis Using Multiple Machine Learning and Text Processing Algorithms" In The 119th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2022).
Ibrahim Sorkhoh, Dariush Ebrahimi, Chadi Assi, Sanaa Sharafeddine. "Minimizing the Age of Information in Intelligent Transportation Systems." IEEE International Conference on Cloud Networking (IEEE CloudNet 2020).
A. Al-Hilo, M. Samir, C. Assi, S. Sharafeddine, Dariush Ebrahimi: " Cooperative Content Delivery in UAV-RSU Assisted Vehicular Networks." In The 2nd Workshop on Drone Assisted Wireless Communications for 5G and Beyond – co-located with ACM MobiCom 2020 (DroneCom 2020).
Ibrahim Sorkhoh, Dariush Ebrahimi, S. Sharafeddine, and C. Assi: "On Leveraging the Computational Potential of Fog-Enabled Vehicular Networks." In Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, pp. 9-16. 2019.
Dariush Ebrahimi, S. Sharafeddine, P.H. Ho, C. Assi: “Data Collection in Wireless Sensor Networks Using UAV and Compressive Data Gathering”. In 2018 IEEE Global Communications Conference (GLOBECOM 2018), pp. 1-7. IEEE Dec 9 2018.
El Haber, Elie, Tri Minh Nguyen, Dariush Ebrahimi, and Chadi Assi: “Computational Cost and Energy Efficient Task Offloading in Hierarchical Edge-Clouds”. In 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2018), pp. 1-6. IEEE, 2018.
Dariush Ebrahimi, Chadi Assi, Samir Sebbah: “On Jointly Constructing and Scheduling Multiple Forwarding Trees in Wireless Sensor Networks”. Thirteenth Annual IEEE International Conference on Sensing, Communication, and Networking (SECON 2016), pp. 1-9. IEEE, 2016.
Dariush Ebrahimi, Chadi Assi: “On the Benefits of Network Coding to Compressive Data Gathering in Wireless Sensor Networks”. Twelfth Annual IEEE International Conference on Sensing, Communication, and Networking (SECON 2015), pp. 55-63. IEEE, 2015.
Dariush Ebrahimi, Chadi Assi: “Joint compressive data gathering and scheduling in wireless sensor networks under the physical interference model”. In the IEEE 16th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2015), pp. 1-9. IEEE, 2015.

Biography / Academic Background

Research Interests / Ongoing Projects

Awards and Achievements

Student Opportunities / Supervising