Skip to content

Roster

Members

We are a group of PhD, Master's and undergraduate researchers working on malware analysis and detection, led by Prof. Marcus Botacin.

Principal investigator

Photo of Marcus Botacin

Marcus Botacin

Assistant Professor · Computer Science & Engineering

Malware analysis, evasion and detection; sandboxes; antivirus operations; hardware-assisted security.

PhD students

Photo of Seyyed Ali Ayati

Seyyed Ali Ayati

PhD student · since Fall 2023

Proactive malware prevention and scalable security analysis, including Windows EDR systems and kernel-mode security. Lead author of the WOOT 2025 paper on acoustic side-channel attacks on keyboards.

Photo of Soumyajyoti Dutta

Soumyajyoti Dutta

PhD student · since 2024

LLM post-training and evaluation, agentic and RAG systems, and applied ML for cyberdefense, including automated threat-detection rule generation.

Photo of Eden Garza

Eden Garza

PhD student · since Fall 2024

About: to be added.

Photo of Mabon Ninan

Mabon Ninan

PhD student · since Fall 2024

I work on machine learning and algorithms for cybersecurity.

Photo of Uros Stanic

Uros Stanic

PhD student · since Spring 2025

Dynamic malware analysis, AI-powered fuzzing sandboxes, and malware detection and classification. Builds custom sandboxes for malware tracing with Intel Pin.

Visiting PhD students

Photo of Jorge Pires Correia

Jorge Pires Correia

Visiting PhD student · Federal University of Paraná (UFPR) · since August 2026

Design and implementation of operating systems, with a focus on security. Advised by Marcus Botacin and André Grégio.

Photo of Giorgia di Pietro

Giorgia di Pietro

Visiting PhD student · Sapienza University of Rome · Spring 2025

Malware analysis, process injection in Windows, API hashing and behavioral analysis of malware.

Master's students

Terms are as recorded by the lab in September 2026.

Current

Name Role Term Notes
Ashwin Menon MSc
Yash Phatak MSc, directed studies Spring 2026 Earlier: project-based, Fall 2023 to Fall 2025
Sahil Kaushal MSc thesis Fall 2026 Hardware performance counters. Directed studies Spring 2026.
Seong Jin Ahn MSc thesis Spring 2026 User fingerprinting
Quan Nguyen MSc thesis Fall 2026 Stream-based rule generation
Eshan Kelkar MSc, directed studies Spring 2026
Aditya Gourishetty MSc, directed studies Spring 2026

Graduated

Name Role Term Notes
Nhat Nguyen MSc Spring 2025 AutoPYara: A Python/Java Framework for automatic YARA rule generation using semi-supervised clustering. Paper: AutoPYara (ACSAC 2026).

Previously advised

Name Role Term Notes
Bhavan Dondapati MSc, project-based Aug 2023 to Spring 2025 When GANs meet LLMs (TAISAP 2026)
Sidharth Anil MSc, project-based May 2023 to Jun 2024 AutoPYara (ACSAC 2026)
Akshat Punjabi MSc, project-based Oct 2023 to May 2025
Manoj Reddy Gurram MSc, project-based Aug 2023 to Spring 2025
Richa Sharma MSc, research alumni Spring 2025 to Fall 2025
Ayushri Jain Directed studies, alumni project Fall 2024, Spring 2025
Sumanth Reddy Kota MSc, directed studies Fall 2025
Aditya Rajiv MSc, research volunteer Fall 2025
Snehith Bikumandla MSc, project-based, alumni project Aug 2023, Fall 2024
Anushka Garg MSc, directed studies Spring 2024
Pranav Taukari MSc, project-based, directed studies Apr to Jun 2023, Spring 2024
Parul Damahe MSc, project-based Summer 2023
Sahil Salunkhe MSc, volunteer project-based Fall 2023 to Spring 2024
Mohina Ahmadi MSc, volunteer summer internship Summer to Fall 2024
Gaurangi Sinha PhD research experience Fall 2025

Undergraduates

Current

Name Role Term Notes
Arnav Karekar BS Computer Science, 3rd year Spring 2026 to present Concept drift in Android malware. Supervised by Mabon Ninan and Marcus Botacin. Website · LinkedIn
Chinmay Mangalwedhe Honors research Spring 2026
Aaron Thompson Directed studies; capstone team Spring 2026 Capstone (Spring 2026) with Graham Dungan, Karl Farrar and Maxim Mouget; Prof. Botacin is project owner.

Previously advised

Name Role Term Notes
Jayesh Tripathi Alumni project Spring to Fall 2024 Explainable Drift Detection and Early Retrain (DIMVA 2025)
John Ammon Project-based, NSF REU, directed studies May to Dec 2023, 2024, Spring 2025
Mitchell Good Directed studies Fall 2025
Samuel Scott Directed studies Fall 2025
Tushar Premanand Alumni project Fall 2024 to Spring 2025
Sushmita Pattanaik Alumni project Fall 2024 to Spring 2025
Rohan Dalvi Alumni project Spring to Fall 2024
Sai Akash Uppala Alumni project Fall 2024
Zach Smith Undergraduate research course Spring 2025
Fady Seha Undergraduate research course Spring 2025
George Demetriou Halliburton summer internship Summer 2024
Shrey Joshi Halliburton summer internship Summer 2024
Mitra Mukherjee Halliburton summer internship Summer 2025
Avinabh Sah Halliburton summer internship Summer 2025

Alumni and others

Undergraduates in Brazil

Advised by Prof. Botacin before he joined Texas A&M.

Name Institution Years Topic and papers
Vitor Falcão da Rocha UNICAMP 2016 to 2017 Anti-forensics and malware anti-analysis
Lucas Baganha Galante UNICAMP 2017 to 2019 Linux malware and ML-based detection. Papers: RevEngE, The AV says
Giovanni Bertão UNICAMP 2017 to 2019 Large-scale malware repositories. Paper: Application installers
Raphael Machinicki UFPR 2019 to 2020 Android apps' operations analysis. Paper: AntiViruses under the Microscope
Felipe Duarte Domingues UFPR / UNICAMP 2019 to 2021 Antivirus operations. Paper: AntiViruses under the Microscope

Visiting researchers and mentees

Name Role Term Notes
Hiago Santos Visiting MSc, USP (Brazil) Summer 2025
Shlok Gilda PhD student, University of Florida 2024 to present Open-source software mentoring

Update your own entry

Everything on this page comes from files in data/people/. The README shows how to add or change a member.