Relevant Experience

Drafted Institutional Review Board (IRB) application for the projects VerBIO, HOMA, and VetTrain.
Performed qualitative, exploratory factor, and parallel analysis from focus group discussion.
Developed research protocol following the outcome of the qualitative analysis from focus group discussion.
Analyzed large-size survey data to prepare the ConTech report.
Collected and analyzed pre- and post-survey data from the projects VerBIO, HOMA, and VetTrain.
Collected drone recorded video and recorded drone flying activity video for future computer vision application.
Collected different physiological signals (e.g., Electrocardiogram, Electrodermal activity, Skin temperature, Heart rate, Accelerometers) using wearable devices (e.g., Actiwave, Actiheart 5, Empatica E4, Fitbit) for several research projects.
Used TAMU High-Performance Research Computing (HPRC) facility for large-scale analysis (e.g., deep learning model training, physiological signal segmentation, and preprocessing).

Visualized, cleaned, and analyzed physiological signals (e.g., Electrocardiogram, Electrodermal activity, Skin temperature, Heart rate, Accelerometers) using wearable devices (e.g., Actiwave, Actiheart 5, Empatica E4, Fitbit) for several research projects.
LSTM network with time-series physiological signals to predict drone accidents (rare-events analysis).
Advanced Convolutional Neural Networks (CNN), ResNet-50 to classify CIFER-10 images.
Modified VGGNet to improve the classification accuracy of CIFER-10 images.
Applied Recurrent Neural Network (RNN) to develop a language model.
Applied Principal Component Analysis (PCA) for feature dimension reduction.
Used time-series physiological signals to predict drone accidents using an Artificial Neural Network (ANN).
Developed Machine Learning (ML) models with physiological signals to understand the effectiveness of drone operation training in immersive Virtual Reality (VR).
Developed ML models with physiological signals to quantify public speaking anxiety.

Instructed 119 undergrad students on Building Information Modeling (BIM) using Autodesk Revit and Nevisworks.
Used PTV VISSIM for traffic data simulation.
Used SimaPro for concrete life cycle analysis.
Used Simio for different industry process simulations (e.g., airport check-in, television production line).
Used Autodesk AutoCAD to design and drafting of architectural, structural, and plumbing drawings while working in Eco-Structure (Pvt.) Ltd.
Developed immersive VR drone flying game for the experiment, using UNITY game physics engine.