Theses/Dissertations from 2024
Detecting and Understanding Position Falsification Attacks using Explainable Artificial Intelligence., Mahesh Abburi
Mining User Facebook Post Likes for Cross Domain Product Recommendations across E- commerce platforms, Emmanuel Jojoe Ainoo
A Hybrid SAT and Lattice Reduction Approach for Integer Factorization, Yameen Ajani
Adaptive Model Selection in Stock Market Prediction: A Modular and Scalable Big Data Analytics Approach, MohammadEhsan Akhavanpour
Efficient and Enhanced Text Summarization by Compressing and Data Augmentation for Transformers-Based Models, Ala Alam Falaki
Programmatic SAT for SHA-256 Collision Attack, Al Nahiyan Bin Alamgir
Defending Federated Learning Against Model Poisoning Attacks, Ibraheem Aloran
Enhancing Risk-Adjusted Returns in Stock Trading: A Node2Vec-RL Approach, Mohammed Farhan Baluch
Using Sequential Multi-Behavior Product Features for E-commerce Recommendation, Saadhika Bandreddy
Knowledge Informed Fake News Detection using Large Language Models, Jess Joseph Joseph Benny
The Graph Burning and The Firefighter Problems, Jilsa Chandarana
LLMPred: Fine-Tuned Large Language Model Embeddings for Drug Side Effect Frequency Prediction, Siyam Sajnan Chowdhury
An IoT-Based Approach of Synthetic Data Generation with Reduced Reality Gap, Kavan Mehulkumar Dave
An Ensemble Deep Learning Approach for Enhanced Classification: A Case Study on Pituitary Tumors, Sumaiya Deen Muhammad
A biomarker identification model from protein protein interaction network using natural language processing and graph convolutional network, Zannatul Ferdoush
Adila: Fairness-informed Collaborative Team Formation, Hamed Ghasr Loghmani
Mining for Product Recommendation on Document-Based NoSQL Big Data, Abdulrauf Aremu Gidado
BeComE - A Framework for Node Classification in Social Graphs, Akshay Gopan
Comparative Analysis of Large Language Models for Polypharmacy Side Effect Prediction, Sadra Hakim
City Guarding with Cameras of Bounded Field of View, Mohammad Hashemi
LADy: Latent Aspect Detection via Backtranslation Augmentation, Farinam Hemmati Zadeh
Multimodal Contrastive Clustering: Deep Unsupervised Learning Approach for Cancer Subtype Discovery with Multi-omics Data, Achini Herath
Enhancing Marijuana Intoxication Detection by using Deep Learning-based Architecture and Image Augmentation, Puneet Jain
Automatic Construction of Ontology with Public-Domain Datasets for Personalized Tutoring with ECA, Asim Jamal
MACHINE LEARNING BASED DETECTION OF FALSE ALERT ATTACK IN VEHICULAR AD-HOC NETWORKS, Avinash Karhana
Prediction of Cell-cell Communication from Spatial Transcriptomics Data Using a Long Short-term Memory Graph Neural Network, Karan Kashyap
Traffic Congestion Sybil Attack Detection in VANETs using Machine Learning Techniques, Sarthak Khanduja
A Dual-Transformation Strategy for Team Recommendation, Zahra Kheiryashkuh
Similarity-Based Dual View Heterogenous Graph Neural Network Method for Drug Adverse Side Effect Prediction, Mayank Kumar
Enhancing Security of Over-the-Air Updates in Connected and Autonomous Vehicles Using Blockchain, Zeeman Memon
Temporal Graph Convolutional Network for Implicit Relation Prediction: Leveraging Timestamps and Confidence, Lida Mirzaei
An SOA-Based Approach of Adaptive E-Tutoring Systems, Parth Hetalkumar Mistry
vivaFemme: Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization, Roonak Moasses
Optimizing LLMs: Harnessing Core Sub-Models in Transformers for Efficient Training on New Tasks, Prithvi Rao Muthineni
Road Side Unit (RSU) Misbehaviour Detection in VANET using Trust Model, Lavanya Nagaraju
MISBEHAVIOUR DETECTION IN VEHICULAR NETWORKS USING UNSUPERVISED ALGORITHMS, GIRISH NATHI
Exploration of Low-Level Features for Enhancing Movie Recommendation Systems, Jasmin Pankajkumar Patel
No Query Left Behind: Query Refinement via Backtranslation, Delaram Rajaei
Exploration of Word Embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors, Tanvi Sandhu
Enhancing Power Usage, Security and Networking Capability of Internet of Things(IoT) Devices, Jainam Nihirkumar Shah
Graph-Based Aggregation of Experts-Skills for Team Recommendation, Puja Sharma
Artificial Intelligence-Based Approaches for Analysis and Optimization of Complex Systems: Case Studies in Computational Epidemiology, Shaon Bhatta Shuvo
An Approach of Lip Synchronization in ECA for E-learning, Rajveer Singh
Plagiarism Detection in Source Code using Machine Learning, Sumisha Surendran
Assessing Adversarial Attack Feasibility and HybridMTD Defense Strategies in Machine Learning, Kimia Tahayori
ADVANCED MACHINE LEARNING MODELS FOR ANALYZING SINGLE-CELL RNA-SEQUENCING DATA, AKRAM VASIGHIZAKER
Generation of random graphs with applications to complex networks, Srivatsan Vasudevan
Fake News Detection with Retrieval Augmented Generative Artificial Intelligence, Mohammad Vatani Nezafat
XLNet4Rec: Modeling user’s long-term and short-term interests in e-commerce recommender systems, Namarta Vij
Osprey: Early Detection of Online Grooming via Conversational Features and Backtranslation Data Augmentation, Hamed Waezi
Theses/Dissertations from 2023
Tree-Based Approaches for Predicting Financial Performance, Ahmed Shafeek Abouhassan
Trustworthy Decentralized Last Mile Delivery Framework Using Blockchain, Ala' Alqaisi
Advanced Deep Learning Multivariate Multi-Time Series Framework for a Novel COVID-19 Dataset, SWASTIK BAGGA
Cross-Blockchain Technology for an Interoperable and Scalable Digital Contact Tracing, Farbod Behnaminia
A Decentralized Data Evaluation Technique in Federated Learning, Laveen Bhatia
Transmission Power based Congestion Control using Q-Learning algorithm in Vehicular Ad Hoc Networks (VANET), Pooja Chandrasekharan
Temporal Neural Team Formation with Negative Sampling, Seyed Sobhan Dashti
Comparative Analysis of Membership Inference Attacks in Federated Learning, Saroj Dayal
Approximating Average Bounded-Angle Minimum Spanning Trees, Patrick Stephen Devaney
Many-to-One: Transformer-based Unsupervised Anomaly Detection and Localization on Industrial Images, Naga Jyothirmayee Dodda
Constructing Adversarial Examples in Question-Answering Systems, Vishakha Gautam
A deep learning approach for Task Recognition of Industrial workers and RULA score calculation, Sonaila Hussain
Mitigating The Shortcomings of Language Models: Strategies For Handling Memorization & Adversarial Attacks, Aly Kassem
Learning Networks with Attention Layers for Team Recommendation, Sagar Kaw
Online Sexual Predator Detection, Muhammad Khalid
Performance Enhancement of Unified Recommendation and Knowledge Graph Completion Learning by Relation Rotation, Lama Khalil
Guided Rotational-Based Graph Embeddings for Error Detection in Noisy Knowledge Graphs, Regina Khalil
The Minimum Consistent Spanning Subset Problem on Trees, Parham Khamsepour
An Approach of Lip Synchronization with Facial Expression Rendering for an ECA, Mohammed Maaz Mohammed Shoieb Khan
Practical Secure Aggregation in Federated Learning Using Additive Secret Sharing, Hamid Fazli Khojir
Inference-Based Personalized Recommendation Via Uncertainty-Aware Dual Actor-Critic Using Reinforcement Learning, Shanu Kumar
Matches Made in Heaven or Somewhere: Personalized Query Refinement Gold Standard Generation Using Transformers, Yogeswar Lakshmi Narayanan
GraphWords: Enhancing Word Vectors using Graphs, Mrulay Sureshbhai Mistry
Face Image Generation Using Knowledge Transfer and Self-Attention, Ehsan Ur Rahman Mohammed
Extending the work of DT-Fixup: Examining the Effects of PowerNorm and MADGRAD Optimization on DT-Fixup Performance, Prem Shanker Mohan
Deep Learning Based Vehicle Classification, Ragheb Barkat Muhib
Reinforcement Learning-Based Data Rate Congestion Control for Vehicular Ad-Hoc Networks, Gnana Shilpa Nuthalapati
Utilizing Deep Learning for Enhancing Performance on Encrypted Stock Market Data, Surajsinh Prakashchandra Parmar
Classifying Galaxy Images Using Improved Residual Networks, Jaykumar Patel
Anomaly Detection in Large Datasets: A Case Study in Loan Defaults, Rayhaan Pirani
An End-to-End Hybrid Approach to Automatic and Semi-Automatic Image Annotation, Roisul Islam Rumi
DeBERTNeXT: A Multimodal Fake News Detection Framework, Kamonashish Saha
Geo-location informed Team Formation using GNN, Karan Saxena
Reducing Model Memorization to Mitigate Membership Inference Attacks, Sheikhjaberi
Comparative Study of Generative Models for Text-to-Image Generation, Nazia Siddiqui
Multi-Data Source Recommendations with Derived Sequential Pattern Mining, Burhan Uddin
Personalized ECA Tutoring with Self-Adjusted POMDP Policies and User Clustering, Ashwitha Vichuly Jawahar
Webcam-Based Optical Mark Reader for Grading Assessments, Muhammad Fahad Zafar
Theses/Dissertations from 2022
Convolutional Neural Networks for Breast Ultrasound Image Segmentation, Yahya Abdullah Alzahrani
Semantic Embedded Sequential Recommendation for E-Commerce Products through Mining Customers’ Historical Interactions and Products’ Data, Mahreen Nasir Butt
Identifying Network Biomarkers for Each Breast Cancer Subtypes Along with Their Effective Single and Paired Repurposed Drugs Using Network-Based Machine Learning Techniques, Forough Firoozbakht
SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication, Sheena Hora
Graph Realizability and Factor Properties Based on Degree Sequence, Daniel John
Personalized Group Itinerary Recommendation using Cultural Algorithm, Farzaneh Jouyandeh
Developing a Robust Defensive System Against First Order Adversarial Attacks Using Siamese Neural Network Methods, Ahamd Khalil
Study Opinion Dynamics of Migrated Individuals using Multi-layer Social Graphs, Sarvnaz Sadeghi