PUBLICATIONS

• Federated Learning with Ethical Constraints via Subspace Projection — Class Project CSCI 6350 (2026)
• RBBD: A Representation-Based Framework for Edge-Case Backdoor Defense in Federated Learning — 2025 IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems (2026)
• Privacy Meets Conservation: Federated Learning's Revolution in Deforestation Detection — 2025 IEEE World AI IoT Congress (AIIoT) (2025)
• Chain Your Loot: Implementing Blockchain into Gaming Loot Box Markets — 2025 IEEE 15th Annual Computing and Communication Workshop (CCWC) (2025)
• A Blockchain and IoT-Enabled Framework for Ethical and Secure Coffee Supply Chains — Future Internet (2025)
• FedMoLoRA: When Heterogeneity is the Setting and Instability is the Problem — N/A (2025)
• A Big Data Optimization Comparison using Apache Spark and Apache Airflow — 2025 IEEE 15th Annual Computing and Communication Workshop (CCWC) (2025)
• Scalable Multimodal Machine Learning for Cervical Cancer Detection — 2024 IEEE World AI IoT Congress (AIIoT) (2024)
• QuadraCode AI: Smart Contract Vulnerability Detection with Multimodal Representation — 2024 33rd International Conference on Computer Communications and Networks (ICCCN) (2024)
• Personalized Stress Detection from Chest-Worn Sensors by Leveraging Machine Learning — 2024 International Conference on Electrical, Computer and Energy Technologies (INTCEC) (2024)
• VulnFusion: Exploiting Multimodal Representations for Advanced Smart Contract Vulnerability Detection — 2024 6th International Conference on Blockchain Computing and Applications (BCCA) (2024)
• Credit Card Batch Processing in Banking System — International Conference on Advances in Computing Research (2024)
• Middle Tennessee State University (TN, USA) Aug. 2023 – Present M.S. in Computer Science; GPA: 3.8 Gandaki College of Engineering and Science (Pokhara, Nepal) Aug. 2018 – Dec. 2022 — Resume (2024)
• Brain Tumor Segmentation and Classification Using ACGAN with U-Net and Independent CNN-Based Validation — 2024 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (2024)
• Using the CARLA Simulator to Train a Deep Q Self-Driving Car — 2023 IEEE International Conference on Big Data (BigData) (2023)
• Cryptocurrency Price and Volatility Predictions with Machine Learning — Journal of Marketing Analytics (2023)
• Improved Classification of Alzheimer's Disease with Convolutional Neural Networks — 2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (2023)
• Prediction of Length-of-Stay at ICU Using Machine Learning based on MIMIC-III Database — 2023 IEEE Conference on Artificial Intelligence (CAI) (2023)
• Mental Workload Classification from fNIRS Signals by Leveraging Machine Learning — 2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (2023)
• Minimization of High Computational Cost in Data Preprocessing with MPI4Py — Machine Learning with Applications (2023)