mohammad.bilalfarooq

• Designed and delivering the following courses in joint undergraduate program with Griffith College Dublin, Ireland • High Level Programming and Practice • Linear Algebra • Developed the course outlines, lab manuals in MATLAB, real-world problem-solving assignments, quizzes, final year project and graded the results. • Supervision of Final year project for Undergraduate students.

Teaching: • Computer Networks and Security | September 2024 – January 2025 Focused on TCP/IP stack, network protocols, firewall architectures, IDS/IPS, and practical Wireshark exercises. • Information Theory | March 2024 – July 2024 Delivered lectures on entropy, mutual information, channel capacity, source coding (Huffman, Lempel-Ziv), and Shannon’s theorems. • Machine Learning | September 2023 – January 2024 Covered supervised/unsupervised learning, CNNs, RNNs, and reinforcement learning with TensorFlow and PyTorch frameworks. Responsibilities: Developed the course outlines, lab manuals in MATLAB, real-world problem-solving assignments, quizzes, midterms/finals, delivered the lectures and checked the exam and graded the results. Research Projects: • AI-Driven Detection and Classification of Marine Mammal Vocalizations: Applied 1D CNNs and MFCC preprocessing to detect Humpback whale songs; used transfer learning with ResNet variants. • CNN-based Covert Underwater Communication: Designed custom CNN for bionic signal recognition, targeting LPD constraints using WHOI datasets adapted for aquatic environments. • Covert Underwater Acoustic Communication using Cepstrum Modulation Techniques: Created novel cepstrum-domain embedding for data hiding in marine acoustic channels, optimizing imperceptibility via perceptual hashing. • DoS Attack Detection in Marine Vehicles: Developed ensemble ML classifiers (Random Forest, SVM) trained on simulated CAN-bus data under cyberattack scenarios. Additional Roles: • Co-supervised PhD students on topics such as NN based LPD constraint communication, UWA channel modeling, secure maritime IoT, neural receiver design and detection and classification of marine mammals using machine learning. • Organizer of IEEE China Ocean Acoustic Conference and CPMI Workshop. • International research liaison with Southampton University (UK), Bahria University, NUST, and COMSATS. Grant Application Involvement: • Drafted technical sections for projects funded under China's National Natural Science Foundation (NSFC) and Pakistan-China collaborative marine innovation programs. • Contributed to proposal on “Bio inspired Modulation Techniques for Stealth Communication in Shallow Waters” currently under review for international bilateral funding.