Theses/Dissertations from 2024
Enhancing Automatic Speech Recognition for Emirati-English Code-Switched Speech, Maryam Al-Ali
Diversity Assessment of Synthetically Generated Medical Datasets, Mohammed Alam
Diacritics Generation in Arabic Texts Using GPT Models: Bridging Technological Advances and Linguistic Depth, Ahmed Albreiki
A Joint Sensing, Learning, and Communication Framework for Vehicular Metaverse, Maryam Alghfeli
DysHub Augment: Addressing Data Scarcity Challenges For Dysarthria Assessment & Automatic Speech Recognition, Rzan Alhaddad
A Transformer-Based Supervised Machine Learning Approach for Detecting SCAMs, Farah Alharthi
Protein-Ligand Binding Prediction through Diffusion Models, Amna Alhosani
Homotopy-Enhanced Sparse Adversarial Attacks: Combining Stochastic Zero-Order Optimization and Minimax Concave Penalty (SZOMCP), Jamal Aljaberi
Loan Predication Using Federated Learning, Abdalla Aljasmi
An Edge Intelligence-Empowered Metaverse Framework for Intelligent Transportation Systems, Fatima Alkhoori
Optimizing Arabic Web-Crawled Text Dataset Generation: A High-Quality, Resource-Efficient Pipeline for Small-Scale Applications, Ahmed Almansoori
Advancing Elderly Care through Multimodal Fall Detection Technology, Hamza Alobeidli
Advancements in Memory-Efficient and Variance-Optimized Pairwise Learning, Extended to Nonlinear Modeling and Spiking Neural Networks, Hilal AlQuabe'h
Enhancing Atomic Systems Energy Prediction with Graph Neural Networks, Baketah Alrashdi
Preventing Overfitting In Transcription Factor Binding Location Prediction Model, Salma Alrashdi
Optimizing Adversarial Attacks through Bi-Level Programming Strategy, Aamena Alshehyari
ModalityBridge: A Foundational Model-Based Framework for Cross-Modal Content Generation and Video Summarization, Majed Alsuwaidi
COPUS Co-adaptive Parallelism and Jobs Scheduling, Haifa Altlili
Unsupervised Landmark Detection, Ahmed Alwheibi
Predicting Flight Delays using Advanced ML Algorithms, Mohamed Alzarooni
Fair and Robust Federated Learning Under Byzantines, Mohammed Azz
Navigating the Unknown: Towards biologically-inspired Simultaneous Localization and Mapping, Kaleab Belay
Enhancing Novel Object Detection via Cooperative Foundational Models, Rohit Bharadwaj
Curriculum learning approach for off-policy deep reinforcement learning algorithms, Mario Cantero
Enhancing Federated Learning Through Low-Rank Adaptation and Singular Value Decomposition, Yixuan Chen
Domain Generalization in Diabetic Retinopathy Grading, Sharon Chokuwa
Multi-Scale Articulated Human Reconstruction by Adaptive Optimization on Sparse Images, Yulang Fei
Text-to-Image Diffusion with Complex and Detailed Prompts, Mohammad Gani
VC Dimensions for Deep Neural Networks with Bounded-Rank Weight Matrices, Junyi Guan
A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases, Nisa Hameed
LLM-Driven Video Background Music Generation Through Text Processing, Ahmad Hammoudeh
Towards Explainable and Controllable Vision-Language Models for Chest X-ray Imaging, Anees Hashmi
Certifying Robustness of Medical Vision-Language Models via Prompt Learning, Noor Hussein
Resilience of Vision-Language Models on Object-to-Background Compositional Changes, Muhammad Huzaifa
What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark, Adham Ibrahim
Auto-Labelled Prompting for Remote Sensing Scene Classification, Mohamed Imam
Test-Time Adaptation for Zero-Shot Generalization of Large Vision Language Models, Raza Imam
Reasoning-based 3D Part Segmentation using Large Multimodal Model, Amrin Kareem
Deploying LLMs on Apple Silicon: Strategies to Enhance Efficiency and Performance, Xiangrui Ke
Predicting Prosumer Energy Patterns and Minimize Imbalance Costs, Bhuvnesh Kumar
Accelerated Stochastic DIANA, Sana Kurungadan
Local and Global: Text Matching via Syntax Graph Calibration, Liang Li
Unifying Protein Function Prediction via Text Matching, Xun Li
Enhancing Policy Gradient with the Polyak Step-Size Adaption, Yunxiang Li
Finger Gesture Tracking From Arbitrary Hand Position Using Smart Skin Technology and Deep Learning, Rufael Marew
TERA: Time Series Prediction through Transformer-Enabled Retrieval Augmentation, Ruslan Mikhailov
Towards Private and Secure Federated Learning: Exploring the Interplay of Differential Privacy and Byzantine Robustness, Hour Mohamed
TDRL$: Extracting and Evaluating the Fixed Causal Factors of Financial Markets, Nurdaulet Mukhituly
Rethinking Model Re-Basin and Linear Mode Connectivity, Xingyu Qu
Synergy: System for Co-adaptive Goodput-Based Scheduling and Hybrid Parallelism of Deep Learning Jobs, Akhmed Sakip
Memoization-Aware Bayesian Optimization for AI Pipelines with Unknown Costs, Ridwan Salahuddeen
Gene Pathogenicity Prediction using Genomic Foundation Models, Mohammad Sayeed
MMM: Manga Motion Model, Youssef Sharaf
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process, Yifan Shen
A Unified Model for Text-to-Speech and Speech-to-Text, Hawau Olamide Toyin
On Iterative Hard-Thresholding: Gradient Estimation and Non-Convex Projections, William Vazelhes
Quasi-Newton Methods for Federated Learning with Error Feedback, Yanlin Wu
Study on Scale-Invariance Framework of Polyak-type Methods, Chulu Xiang
Large-Scale Dataset Distillation, Zeyuan Yin
Submissions from 2023
On Preconditioning Polyak Step-Size and its Variants, Farshed Abdukhakimov
Link Analysis in Complex Networks by Structural Method and Machine Learning, Aliakbar Abdurahimov
Automating Labeling of Fetal Ultrasound Views Using Machine Learning, Hussain Alasmawi
ExtArabic: Extensive Arabic Natural Language Understanding Benchmark, Sarah Adnan Al Barri
The Impact of Model Architecture on the Transferability of Adversarial Attacks, Farha Salem Khamis Albreiki
Stable Learning In Mean Field Games by Regularization of The Policy Updates, Talal Abdullah Fadhl Algumaei
Optimizing Industrial Systems with Machine Learning Anomaly Detection, Shaikh Khalid Khalifa Mohamed Khalid Al Nahyan
Domain Adaptive Imitation Learning for Self Driving Environments, Eman Hisham Zaki Al Suradi
From Limitations to Innovations: A Deep Dive into Multimodal Weakly Supervised Violence Detection, Younes Balah
Iterative Video Segmentation Framework and Benchmark Using Minimal User Annotations, Ariana Michelle Bermudez Venegas
BOsampler: a Plug-and-play Module for Stochastic Human Trajectory Sampling Promoting, Zhenhao Chen
Enabling Transactive Microgrids: A Multi-Agent Reinforcement Learning Hierarchical Framework, Nicolás Mauricio Cuadrado Ávila
Personalized learning with the existence of harmful workers, Brahim Erraji
On the Identifiability of Causal Discovery from Temporally Aggregated Data, Shunxing Fan
Exploiting Differential Adversarial Sensitivity for Trojaned Model Detection, Samar Fares
Omics-Driven Cancer Driver Gene Prediction with Enhanced Graph Convolutional Networks, Mugariya Farooq
ChatGPT-driven Prompt Generation for Vision-Language Models, Zhengqing Gao
Federated Reinforcement Learning Approach for Smart Microgrids Control, Roberto Alejandro Gutierrez Guillen
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses: An NLP Parser, Ashraf Haddad
Machine Learning Multimodality Fusion for Antimicrobial Resistance Prediction Using Electronic Health Records, Shahad Emad Mohamad Hardan
Improving Identity Consistency for Neural Head Reeanactment, Steven Phong Hoang
Secure Image Provenance: Blockchain-Based Solution for Image Forgery and Similarity, Sharim Jamal
Robust Video Dubbing: Improved Audio Classification, Recognition, and Separation in the Multilingual Setting, Bokang Jia
Drone Detection Using Modified Deep Learning Methods, Mohamad Mahmoud Kassab
3D Human Pose Estimation Under Occlusions and Partial Views, Maksat Kengeskanov
On Self-Supervised Learning of Vision Transformers for Fingerprint Presentation Attack Detection, Maryam Nadeem
Deep Learning for Cancer Diagnosis and Prognosis, Numan Saeed
Continual Casual Representation Learning, Boyang Sun
Confidential and Private Decentralized Learning based on Encryption-friendly Distillation Loss, Nurbek Tastan
Training Free Distillation for Efficient Action Recognition, Yu Kang Wong
Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation, Zunhao Zhang
DC-Net: Divide-and-Conquer for Salient Object Detection, Jiayi Zhu
Medical Image Segmentation with Noisy Labels, Aigerim Zhumabayeva
A Deep Neural Network for Oxidative Coupling of Methane Trained on High Throughput Experimental Data, Klea Ziu
Submissions from 2022
On Utilizing Layer-wise Gradient Norms for Membership Inference Attack, Saarah Abdulla
Dialogue System for Early Mental Illness Detection: Towards a Digital Twin Solution, Akbobek Abilkaiyrkyzy
Self-Supervision using Style Transfer for Domain Generalization, Abdallah M. M. Abujami
Multi-label classification network for multi-view dataset using dependence and attention analysis, Hanin Thaer Al Ghothani
Self-supervised Learning for Time Series Analysis in Predictive Maintenance Application, Abdullatif Husain Hasan Alhashmi
Defense against Gradient Inversion Attacks using Kurtosis Regularization, Sulaiman Hamza Mohamed Aljanahi