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University of Houston
- Houston, Texas
- https://www.linkedin.com/in/tejaswini-katale-185597225/
- https://scholar.google.com/citations?user=Wqv1_7cAAAAJ&hl=en
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LLM-Guided-Hybrid-Simulation-for-Airport-Cyber-Resilience-Assessment
LLM-Guided-Hybrid-Simulation-for-Airport-Cyber-Resilience-Assessment PublicHuman Behaviours: It presents a hybrid airport simulation combining DES and pedestrian modeling to study cyber disruptions. It captures service delays, passenger movement, and behavior changes unde…
Python
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Forecasting-Driven-ADS-B-Anomaly-Detection-Using-Adapter-Tuned-TimesFM-2.5
Forecasting-Driven-ADS-B-Anomaly-Detection-Using-Adapter-Tuned-TimesFM-2.5 PublicA TimesFM 2.5-based aviation cybersecurity framework for detecting anomalies in low-altitude ADS-B trajectories under spoofing, replay, saturation, and interpolation attacks.
Python
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CareBridge-AI-Assisted-Telehealth-Workflow-for-Injury-Assessment-Doctor-Matching-and-Prescriptions
CareBridge-AI-Assisted-Telehealth-Workflow-for-Injury-Assessment-Doctor-Matching-and-Prescriptions PublicAn AI-assisted telehealth workflow system using LLMs and VLMs to support patient intake, injury assessment, doctor routing, prescription handling, and safer medication decisions.
Python
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Large-Language-Models-in-Pavement-Safety-Analysis
Large-Language-Models-in-Pavement-Safety-Analysis PublicDeveloped a prompt-based LLM framework to identify pavement-related crash factors from police crash narratives. The study compares multiple open-weight language models for detecting hydroplaning, …
Jupyter Notebook
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Dueling-DQN-for-Traffic-Signal-Control
Dueling-DQN-for-Traffic-Signal-Control PublicBuilt a deep reinforcement learning framework for adaptive traffic signal control using SUMO and TraCI. The project trains a Dueling Double DQN agent to control a four-way intersection and improve …
Python
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New-Approaches-to-Robust-Homogeneous-And-Clearly-Identifiable-Cluster-Creation
New-Approaches-to-Robust-Homogeneous-And-Clearly-Identifiable-Cluster-Creation PublicA new clustering technique is proposed that incorporates outliers during clustering. The proposed approach involves using a variable, (λ > 0), to define the cluster radius. Weighted an
Jupyter Notebook
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