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: IoT Elsevier (Under Review)
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 (2022 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 (2023 Winter Intensive; completed)
Target: IEEE Access (In progress)
Title 2: Under review
Title 6: Under review
Title 8: Under review
Title 9: Under review
Title 11:
i. Completed simulations and paper writing
ii. Checked for grammatical errors and ran a plagiarism test
iii. Submitted the paper to the review committee
Title 2: Under review
Title 6: Under review
Title 8: Under review
Title 9: Under review
Thesis
i. Design thesis proposal
ii. Brainstorm with senior colleagues for guidelines for the thesis writing
iii. Begin chapter one of my thesis
Development of a Blockchain-based Model for Medical IoT Surgical Robot
Completed chapter 4 of the project’s review paper
i. Extend chapter 4 of the review paper to reflect recent blockchain techniques for the design of digital
health certificates
ii. Elaborate more on the shortcomings of these papers and provide probable future directions
i. Complete and submit my winter intensive to the review committee (Achieved)
ii. Become proficient in FL simulations (85%)
iii. Begin my thesis (10%)
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 (85%)
vi. Begin and excel on the journey to R programming for Big data analysis (60%; paused)
vii. Achieve substantial progress in my thesis writing
i. Submission of at least 4 journals (Achieved)
ii. Acquire at least 2 journal publications (in the pipeline)
iii. Submit and get acceptance to all domestic and international conferences approved by professor
iv. Design a hybrid model for optimal drone detection:
Vision technique: (100% completed)
Sniffing technique: (20%) (paused)
v. Submit and defend my thesis
v. Become an AI expert in both ML and DL techniques (still progressing)