Research Projects

• Communication-aware neural Mapping and Pruning Framework, 2025
  • Performed efficient distributed inference over communication-aware mapped and pruned CNNs using PyTorch. Tested on real-life environments such as Colosseum wireless emulator in wired, wireless, and cellular scenarios, and Raspberry Pi’s. Observed up to a 26x speedup over pruned models.
• Markovian Experimental Design under Concept Drift, 2025
  • Implemented a markovian experimental design framework under concept model drift via Kalman filters in Python.
• Gradient Boosting Decision Trees on Medical Diagnosis, 2024, View Publication
  • Implemented an extensive analysis of ensemble models in medical diagnosis focusing on the superior performance over state-of-the-art deep learning models in PyTorch.
• Wireless Radar Classification with Transformers, 2024, View Preprint
  • Implemented Transformer-based classification models for wireless radar signals over out-of-distribution data with LoRA and conformal prediction in PyTorch.
• Portable RF Signal Sensing System Using SDR, 2023, View Publication
  • Implemented an Electronic Support Measures (ESM) system with a GPU accelerated SDR that could detect, measure, and classify RF signals using signal processing algorithms in GNU Radio and XGBoost. Designed the system as compact and portable contrary to the current ESM products.
• sEMG Motion Classification and Anomaly Detection, 2023, View Preprint
  • Implemented motion classification and anomaly detection models using sEMG signals via few-shot learning with a Siamese network in Keras and PyTorch.
• Multivariate Time Series Imputation With Transformers, 2022, View Publication
  • Developed a Transformer-based autoencoder for missing value imputation that outperformed seven state-of-the-art imputation methods by 13.5 – 50.5% over benchmark datasets.

Course Projects

• Genetic Algorithms for Feature Selection, 2023, View Preprint
  • Major contribution in parallelization of several genetic algorithms for feature selection to enable concurrent training of ML models on diverse feature subsets in PySpark and JobLib.
• Deep Learning Course Project, 2022
  • Designed a classification task using ResNet that detects defects on solar cells in PyTorch.
• Audio Amplifier with a Gain and Power Stage, 2021
  • Designed an audio amplifier on Printed Circuit Board that amplifies the input signal and converts it to audio at the output power stage.
• Neural Networks Course Projects, 2021
  • Implemented natural language processing and image captioning tasks using CNNs and RNNs, including GRUs and LSTMs, in PyTorch.
• Science, Technology and Society Project, 2021
  • Investigated and reported the company of KAREL’s applications of IoT on transportation using Responsible Research and Innovation methods.
• Signals and Systems Course Projects, 2021
  • Designed Finite Impulse Response and an Infinite Impulse Response filters in MATLAB.
• Measurement of DC Voltage Values and Identification of Different Waveforms, 2020
  • Designed a system in Assembly that continuously measures the voltage values of a Direct Current Power Supply and identifies the input waveform type of an oscilloscope.
• Calculator in Assembly, 2020
  • Designed a mean absolute deviation calculator in Assembly and tested on 8051 Microcontroller.
• TRC-10, 2020
  • Built a high-frequency transmitter-receiver for audio files in a 10 meter amateur band.
• Agar.io Game, 2020
  • Implemented a VHDL-based video game similar to agar.io displayed on a VGA and controlled via a keyboard.