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: Vision-Based Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: Computer Vision and Image Understanding Journal (Submitted)
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 the Internet of Drone Communication
Networks
Target: Journal of Communications and Networks (Under review)
Title 10: Mobility-Compliant Model in Drone-Based Sniffing Technique for Aerial Surveillance and Security
Target: KICS Fall 2022 (Accepted)
Title 11: Federated Learning-Based Intelligent Intrusion Detection Framework for Edge-Assisted UAV
Network (Winter Intensive)
Target: IEEE Access (Tentative)
Title 2: Under review
Title 3 Prepared and presented MILCOM conference report for colleagues’ perusal
Title 6: Submitted
Title 8: Under review
Title 9: Under review
Title 11: Continue study on the concept and applications of federated learning techniques
Title 2: Under review
Title 6: Submitted
Title 8: Under review
Title 9: Under review
Title 11: Complete the introductory section of the paper
Summer Intensive
1. Present the first stage of my summer intensive task
2. Complete chapter 1 of the paper
Development of a Blockchain-based Model for Medical IoT Surgical Robot
i. Had a brainstorming session with team members to map out strategies of the project proposal design
ii. Continued research and study on existing works to gather knowledge and discover limitations
i. Survey papers related to blockchain technology in the design of digital certificates in the health
sector
ii. Surf for related works done by NSL members
iii. Draft out Chapter 4 of project’s proposal (Technology transfer through system and Product Development)
i. Effect changes and improve Title 6 for resubmission (Achieved)
ii. Achieve substantial success in my winter intensive (In progress)
iii. Begin studying SIMULINKS for drone-to-drone communication in a simulated environment (paused)
iv. Acquire in-depth knowledge of the various ML and DL algorithms (85% progress)
v. Full grasp of the concept and application of FL techniques (20%)
v. Begin and excel on the journey to R programming (40%)
i. Submission of at least 4 journals (Achieved)
ii. Submit and get acceptance for 3 international conferences
(Achieved; ICAIIC, ICTC, and MILCOM)
iii. Design a hybrid model for optimal drone detection:
Vision technique: (100% completed)
Sniffing technique: (20%) (paused)
iv. Become an AI expert in both ML and DL techniques (still progressing)