Papers

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: Intelligent Intrusion Detection Framework for Edge-Based UAV Network using
Optimized Filter Random Forest Algorithm (Winter Intensive)
Target: IEEE Access (Tentative)

Last Week's Progress

Title 2: Under review

Title 3: Prepared for both oral and poster presentations as scheduled by the conference committee

Title 6: Submitted the paper for possible publication

Title 8: Under review

Title 9: Under review

Title 11: Surveyed works relating to edge computing and federated learning techniques

This Week Todo's

Title 2: Under review

Title 3 Prepared conference report for colleagues’ perusal

Title 6: With the journal’s editor

Title 8: Under review

Title 9: Under review

Title 11: Continue study on the concept and applications of federated learning techniques

Project Progress

Development of a Blockchain-based Model for Medical IoT Surgical Robot

Last Week's Project

i. Surveyed recent publications to ascertain security issues in medical IoT data transmission specific
to blockchain technology.

ii. Identification of pertinent challenges in the deployment of blockchain technology in medical IoT

This Week's Project

i. Have a brainstorming session with team members and propose a system design

ii. Continue research and study on existing works to gather knowledge and discover limitations

Monthly Goals

i. Effect changes and improve Title 6 for resubmission (100%)

ii Achieve substantial success in my winter intensive

iii. Begin studying SIMULINKS for drone-to drone communication in a simulated environment

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

v. Begin and excel on the journey to R programming (35%)

Annual Goals

i. Submission of at least 4 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:
Vision technique; (100% completed)
Sniffing technique; (20%)

iv. Become an AI expert in both ML and DL techniques (still progressing)