Predictive Maintenance of VRLA Batteries in BTS Systems
This undergraduate project was developed in collaboration with Nian Electronic Company to implement predictive maintenance for Valve-Regulated Lead-Acid (VRLA) batteries in BTS systems. The project implements the methodology from the research paper “Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers”using a Gradient Boosted Decision Trees (GDBT) model.
Aug 1, 2025
Pure Parity Seeking 2-3 Red Black Binary Tree
Implemented a 2-3Red-Black Tree based on the “Parity-Seeking” deletion algorithm from a recent academic paper [Link]. The project focused on reusability and object-oriented design in C++, structured as a library-like module.
Jun 15, 2024
Presentation: Competition-Level Code Generation with AlphaCode by DeepMind
Presented a technical overview of AlphaCode, DeepMind’s LLM for competitive programming, as part of the graduate-level Neural Networks and Deep Learning course. Covered its architecture, sampling strategies, and evaluation process.
Jan 5, 2024
Age Prediction with Transfer Learning
Developed an age prediction model using transfer learning with VGG16 and PyTorch. The project was about fine-tuning layers, regularization through dropout, and preprocessing face images to enhance precision. You can view the project on GitHub: Age Detection Using Transfer Learning.
Oct 1, 2023
Sepehr – Automatic Scoring System
Sepehr is an automatic scoring system developed for programming exercises, with a particular focus on data structures and algorithm design problems. It was initially created during my internship at Part Research Institute and later used in both university-level and national-level Dataleague programming contests.
Sep 1, 2023
Seizure Signal Classification
Developed a seizure detection system using EEG data and machine learning models including SVM, Random Forest, and CNNs. Performed preprocessing, feature engineering, and K-fold validation to ensure accuracy and generalizability. Focused on biomedical signal analysis in practical ML settings.
Dec 1, 2022
Game Player Agent in Abalone Game
Developed an intelligent board game player, Abalone, utilizing Minimax with Alpha-Beta Pruning, which was coded in GDScript. This was a project from the Artificial Intelligence fundamentals course and was about optimal search and decision-making in adversarial environments.
Jun 1, 2022
AI Planning Framework
Created a planning system in JavaScript for classic AI problems like BlocksWorld and Monkey-Banana using heuristic and search-based methods. Applied strategies like ignoring delete lists and forward/backward search to efficiently resolve planning tasks through state transition modeling.
Apr 1, 2022