Research Projects

• Multi-Agent Distributed Inference over Large AI Models at the Network Edge, 2025
  • Designed a compression-driven Model-Distributed Inference (MDI) framework to enable execution of large models across heterogeneous edge devices, reducing wireless communication overhead via lightweight pruning and quantization.
• Gradient Boosting Decision Trees on Medical Diagnosis, 2024, View Publication
  • Conducted large-scale empirical analysis of ensemble models to evaluate performance trade-offs against deep learning methods on tabular medical data, showing consistent superiority of GBDTs across multiple benchmarks.
• Wireless Radar Classification with Transformers, 2024, View Preprint
  • Implemented Transformer-based radar signal classifiers with LoRA and conformal prediction to improve robustness under distribution shifts, achieving reliable OOD performance in PyTorch.
• Portable RF Signal Sensing System Using SDR, 2023, View Publication
  • Implemented a GPU-accelerated SDR-based Electronic Support Measures (ESM) system to address real-time RF signal awareness requirements, enabling efficient detection, measurement, and classification using GNU Radio and XGBoost.
• sEMG Motion Classification and Anomaly Detection, 2023, View Preprint
  • Developed few-shot Siamese learning models to address limited-label sEMG motion classification, achieving robust generalization across unseen motion patterns.
• Multivariate Time Series Imputation With Transformers, 2022, View Publication
  • Designed a Transformer-based autoencoder to solve missing-value imputation in multivariate time series, outperforming seven state-of-the-art methods by 13.5–50.5\% over benchmark datasets.
• Nano-drone Project, 2021
  • Designed and integrated nano-drone hardware and software using Altium Designer to address agility and visibility constraints in aerial platforms, resulting in a nano-scale PCB that improved maneuverability and reduced visual detectability.
• Drive Coil Project, 2020
  • Designed a drive coil in MATLAB to enable magnetic-field–based particle analysis when paired with a receive coil, supporting accurate characterization via controlled electromagnetic excitation.

Course Projects

• Genetic Algorithms for Feature Selection, 2023, View Preprint
  • Parallelized distributed genetic algorithms in PySpark and JobLib to accelerate feature subset exploration, enabling concurrent training of large-scale machine learning models.
• Deep Learning Course Project, 2022
  • Designed a ResNet-based image classification model to address automated defect detection in photovoltaic solar cells, demonstrating accurate visual inspection using PyTorch.
• Audio Amplifier with a Gain and Power Stage, 2021
  • Designed and implemented a PCB-based audio amplifier with gain and power stages to convert low-amplitude input signals into audible output, resulting in a functional end-to-end analog amplification system.
• Neural Networks Course Projects, 2021
  • Implemented CNN- and RNN-based models, including GRUs and LSTMs, to solve natural language processing and image captioning tasks, achieving effective sequence modeling and multimodal learning in PyTorch.
• Science, Technology and Society Project, 2021
  • Analyzed KAREL’s IoT applications in transportation systems to evaluate societal and ethical implications using Responsible Research and Innovation (RRI) frameworks, producing a structured technology impact assessment.
• Signals and Systems Course Projects, 2021
  • Designed and evaluated FIR and IIR digital filters in MATLAB to address frequency-domain signal processing requirements, validating filter performance through analytical and simulation-based methods.
• Measurement of DC Voltage Values and Identification of Different Waveforms, 2020
  • Developed an Assembly-based embedded system to continuously measure DC voltage levels and classify oscilloscope waveforms, enabling real-time signal identification on constrained hardware.
• Calculator in Assembly, 2020
  • Implemented a mean absolute deviation calculator in Assembly to perform statistical computation on embedded systems, successfully deploying and testing the solution on an 8051 microcontroller.
• TRC-10, 2020
  • Built a high-frequency transmitter–receiver system to enable audio communication over the 10-meter amateur radio band, demonstrating reliable RF signal transmission and reception.
• Agar.io Game, 2020
  • Designed and implemented a VHDL-based video game inspired by Agar.io to integrate digital logic, VGA display output, and keyboard input, resulting in a fully interactive hardware-level game system.