Actively Looking for Assistant Professor Position!
Data Science: Jupyter Notebook, Google Colab.
Visualization: Matplotlib, Seaborn, Tableau, PowerPoint (Advanced), Lucidchart, Visio.
Construction Software: AutoCAD, Revit, Grasshopper (Advanced Parametric Design in Revit), Navisworks (Clash Detection, 4D Simulation), MS Project, Primavera P6, Bluebeam, On-Screen Takeoff, Procore.
Collaboration: Slack, Trello, Microsoft Teams, Google Workspace.
Machine Learning & AI: Predictive modeling, generative AI, deep learning (TensorFlow, PyTorch), XGBoost, reinforcement learning.
Computer Vision & Data Fusion: Object detection, segmentation, motion tracking, multimodal data integration (IoT, sensors, cameras).
Programming & Data Science: Python (NumPy, Pandas, SciPy, Scikit-learn), R, MATLAB, C++; big data cleaning.
Data Analysis & Visualization: SPSS, Excel (Advanced), Tableau, MATLAB, statistical modeling, hypothesis testing.
Wearable Technology: Active & passive exoskeletons, physiological monitoring, ergonomic assessment.
Robotics & Automation: Human–robot interaction, robotic safety systems, IoT-based monitoring frameworks.
Digital Twin Technology: Real-time monitoring, simulation, predictive safety models.
Immersive Technologies: VR/AR/MR for safety training, hazard recognition, and project visualization.
AI-driven safety frameworks for OSHA “Fatal Four” hazards.
Real-time hazard detection using IoT and computer vision.
Development of advanced safety training modules with robotics, wearables, and immersive tools.
Experimental design for biomechanical and safety studies (SlateSafety, Shimmer, Noraxon EMG, insole sensors, stereo cameras).
Statistical modeling, meta-analysis, and interdisciplinary research design.
Institutional Review Board (IRB) protocol development and compliance.
Scientific writing, LaTeX, Overleaf, EndNote/Zotero citation management.