Sujan Ghimire
Orcid: 0000-0002-7266-4442
According to our database1,
Sujan Ghimire authored at least 19 papers
between 2021 and 2026.
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Bibliography
2026
Can Agents Secure Hardware? Evaluating Agentic LLM-Driven Obfuscation for IP Protection.
Proceedings of the 44th IEEE VLSI Test Symposium, 2026
LeakSEAL: Power Side-Channel Leakage Analysis and Mitigation for Secure Edge AI Learning.
Proceedings of the Great Lakes Symposium on VLSI 2026, 2026
2025
HWREx: AI-enabled Hardware Weakness and Risk Exploration and Storytelling Framework with LLM-assisted Mitigation Suggestion.
ACM Trans. Design Autom. Electr. Syst., November, 2025
CoRR, April, 2025
Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development.
CoRR, February, 2025
IEEE Access, 2025
LLM-HyPZ: Hardware Vulnerability Discovery Using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement.
Proceedings of the IEEE International Conference on Data Mining, 2025
Llm4mcu-Onto: Leveraging Llms for Automated Ontology Generation From Microcontroller Reference Manual.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025
2024
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model.
Eng. Appl. Artif. Intell., 2024
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model.
Eng. Appl. Artif. Intell., 2024
Transforming Engineering Education Using Generative AI and Digital Twin Technologies.
CoRR, 2024
Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course.
Comput. Educ. Artif. Intell., 2024
Educational Tool-spaces for Convolutional Neural Network FPGA Design Space Exploration Using High-Level Synthesis.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
Proceedings of the IEEE Frontiers in Education Conference, 2024
2023
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction.
Cogn. Comput., March, 2023
2022
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia.
Eng. Appl. Artif. Intell., 2022
2021
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm.
IEEE Access, 2021