Research & Projects
Graduate Research Assistant, – Virginia Commonwealth University, Richmond VA
Dissertation
Chronic Wound Management using Artificial Intelligence
Ongoing Projects:
2022
Project 1: Digital Twin in Chronic Wound Management
Project 2: Digital Twin in Healthcare: A Study for Chronic Wound Management
2021
Project 1: Analysis of Deceptive Data Attacks with Adversarial Machine Learning for Solar Photovoltaic Power Generation Forecasting.
Project 2: Prediction of Wound development stages
Project 3: An XAI Approach for COVID-19 Detection Using Transfer Learning with X-ray Images.
- Lung Segmentation is done to increase the classification and explanation performance.
Completed Projects:
2021
Project 1: Medical Image Synthesis with novel Machine Learning Algorithms
- Detection algorithm for medical images has been developed
- Segmentation on medical image is being developed
Project 2: Synthetic Medical Image Synthesis with GAN Algorithms
- A custom GAN algorithm is implemented
- Synthetic Wound image generation for patient privacy
Project 3: Explainable AI applications on Medical Image Synthesis : Chronic Wound Images
- Explainable AI tools such as LIME and Activation atlases applied to wound development model
- Explainable AI methods are compared comprehensively in Healthcare.
Project 4: Classification and Segmentation Comparison of Floodwater on Roadways using Deep Learning Methods
- A custom algorithm has been developed to extract and analyze image data
- Mask-R-CNN and Generative Adversarial Network machine learning algorithm has been used.
- A heuristic model developed to classify and segment the floodwater on roadways from labelled image data.
2020
Project 1: Classification and Segmentation of Floodwater on Roadways using Mask-R-CNN
- A custom algorithm has been developed to extract and analyze image data
- Mask-R-CNN machine learning algorithm has been used
- A heuristic model developed to classify and segment the floodwater on roadways from labelled image data
Project 2: Generative Adversarial Network Application on Jurkat Cell segmentation
- TEM images of Jurkat Cells are segmented using GAN Algorithm.
Project 3: Computer Science and Cybersecurity Pathway for Career and Technical Education. Link.
The project will develop supplemental educational modules aligned with industry needs.
- Blockchain game for the high schollers which includes presentation and automatic Hash calculation code
- Hands on Raspberry Pi activities which utilizes Internet of Things and its presentation
- Hands on Arduino applications with Internet of Things
- Marine ROV MATE project design and implementation mentoring
Project 4: Neural Machine Translation using NLP techniques.
- Seq2seq technique with LSTM is used to develop a NMT model for Turkish to English translator.
2019
Project 1: Realizing the Potential of Blockchain Technology in Smart Grid Applications.
- Analysis of blockchain techniques used in industry
- Conduct a survey with current blockchain users
- Analyze the potential impacts of the new blockchain systems on smart grid application
Project 2: Simulation and Energy management of International Space Station (ISS)
- Developed and extracted generated electricity information from the ISS’ data.