Title 1: Aerial Supervision of Drones and Other Flying Objects Using Convolutional Neural Networks
Target: ICAIIC 2022 Conference (Accepted)
Title 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato
Diseases.
Target: IEEE Intelligent Systems (Under Review)
Title 3: Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious
Approach
Target: MILCOM 2022 (Accepted)
Title 4: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification
Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems
Title 5: Scalable Out-of-Core Learning Model for Intrusion Detection System on the Internet of Drones
Target: KICS Summer 2022 (Accepted)
Title 6: Scale Variant Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: IET Computer Vision (Rejected)
Title 7: Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest
Algorithm
Target: ICTC 2022 (Accepted)
Title 8: Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone
Network (Summer Intensive)
Target: IEEE Internet of Things (Under review)
Title 9: RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication
Networks
Target: Journal of Communications and Networks (Submitted)
Title 10: Mobility-Compliant Model in Drone-Based Sniffing Technique for Aerial Surveillance and Security
Target: KICS Fall 2022 (Accepted)
Title 11: Intelligent Intrusion Detection Framework for Edge-Based UAV Network using
Optimized Filter Random Forest Algorithm (Tentative)
Target: IEEE Access (Tentative)
Title 2: Under review
Title 3: Began presentation slides
Title 6: Submit the paper for possible publication
Title 8: Under review
Title 9: Still awaiting chief editor’s assignment
Title 10: Begin presentation slides
Title 11: Learn and implement reinforcement learning technique
Title 2: Under review
Title 3: Complete presentation slides and attend to the demands of Young Scholars innovation; MILCOM pet
project
Title 6: Attended to review comments and transferred paper into a new journal’s format and scope
Title 8: Under review
Title 9: Still awaiting chief editor’s assignment
Title 10: Finish presentation slides and prepare for the conference
Title 11: Still learning the techniques and implementation of reinforcement learning technique
Anti-Drone System (Phase II)
i. Gather datasets for model evaluation
ii. Continue surveying on drone sniffing techniques and DRL models
iii. Continue learning R programming for big data analysis
i. Gather datasets for model evaluation
ii. Continue surveying on drone sniffing techniques and DRL models
iii. Continue learning R programming for big data analysis
i. Effect changes and improve Title 6 for resubmission (100%)
ii. Submit a paper for KICS Fall (Achieved)
iii. Acquire in-depth knowledge of the various ML and DL algorithms (85% progress)
iv. Become proficient in the use of OpenCV for object detection and tracking in real-time (paused)
v. Begin and excel on the journey to R programming (30%)
vi. Resubmit Title 11 for possible publication (30%)
vii. Attend and present my paper in MILCOM conference
i. Submission of at least 3 journals (100%)
ii. Submit and get acceptance for 3 international conferences (Achieved; ICAIIC, ICTC, and MILCOM)
iii. Design a hybrid model for optimal drone detection
(Completed vision technique, test-running artificial nose for sniffing technique (15%))
iv. Become an AI expert in both ML and DL techniques (still progressing)