My research interests are: internet of things (IoT), wireless communications, cloud and edge computing, data mining & Big Data, algorithm design and optimization. However, my current research focus is on intelligent transportation systems (ITS), working on data communications, traffic management, routing, and charging of electric vehicles.

• NSERC Discovery Grants
• NSERC Research Development Funds
• International Research Project Grants
• FQRNT Postdoctoral Research Grants
• PhD Full Tuition Recruitment Award

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:

• Pronab Ghosh (master thesis program), thesis/project title: Intelligent Data Communications for Autonomous Self-Driving Vehicles
• Seyedmohammad Kashefi Mofrad (master thesis program), thesis/project title: Efficient Routing and Charging of Electric Vehicles
• Liang Zhong (undergraduate student, recipient of Undergraduate Student Research Experience Award Program), thesis/project title: Congestion Reduction on Roads: Traffic Management for Autonomous Vehicles
• 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

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 (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

SELECTED JOURAL PUBLICATIONS:

• 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

• 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).
• Joshua Weston, Brenden Bickert, Caleb Stasiuk, Fadi Alzhouri, and Dariush Ebrahimi: "Dynamic Analysis of Demographic Sentiment" International IOT, Electronics and Mechatronics Conference (IEMTRONICS 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.

• CP421: Data Mining

At Thompson Rivers University:

• COMP4980: Big Data
• COMP3270: Computer Networks

At Lakehead University:

• COMP5413: Wireless Communications
• COMP5800: Master Project
• COMP3415: Software Engineering 
• COMP2476: Assembly Language 
• COMP1411: Computer Programming