CV

PhD - Computer Engineering

MSc - Computer Engineering

BSc - Physics

Graduate Research Assistant

• Research focus: network security, machine learning, and internet measurement.
• Enhance network security in real-world networks using machine learning, time-series analysis and graph-based techniques.
• Conduct comprehensive assessments of network security vulnerabilities and privacy malpractices.
• Leverage large language models (LLMs) to tackle practical issues related to network security and privacy.

Graduate Research Assistant

• Research experience: robotics, cloud, network.

Software Engineer Intern

• Smart IoT device software development using Arduino.

Network and Cybersecurity

• Network protocols, DNS, TLS, certificate PKI.
• Malware and botnet detection.
• Intrusion and anomaly detection.
• Internet of Things (IoT) security.
• Traffic analysis, monitoring, and profiling.
• Privacy-preserving network traffic anonymization.

Machine Learning and Data Science

• Applied ML/DL models in network security and other applications.
• Large-scale network traffic analysis.
• Time-series and graph analysis.
• Applied large language models (LLMs) for time-series forecasting.
• End-to-end large-scale data ETL processes.

• Python (Sklearn, JupyterLab, Pandas, PyTorch, TensorFlow, Numpy, PySpark), Spark, SQL, Git, C++

• Wireshark, OpenSSL, Nginx, Zeek(Bro)

• Linux, Neo4j, Docker, Windows, AWS, SLURM

See the Publications page for a full list of publications.

Exploring the Ecosystem of DNS HTTPS Resource Records: An End-to-End Perspective.

Mutual TLS in Practice: A Deep Dive into Certificate Configurations and Privacy Issues.

Intercepting Bluetooth Traffic from Wearable Health Devices

Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks.