Students

Ph.D. Student, CS

Graduate Teaching Assistant

Research Topic: Intersection of Natural Language Processing and usable privacy, security, and social media

dgoswam@gmu.edu 

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Advisors: 

• Dr. Sanchari Das 

• Dr. Evgenios Kornaropoulos

ABOUT 

Dedicated and innovative fifth-year Ph.D. student with a strong foundation in Natural Language Processing (NLP), focusing on the intersection of usable privacy, security, and social media. My research leverages state-of-the-art Large Language Models (LLMs) to analyze and address challenges related to privacy concerns, sentiment dynamics, and security vulnerabilities in socio-technical systems. By combining expertise in linguistics, deep learning, and social media analysis, I aim to develop innovative solutions that enhance user privacy and security while contributing to cutting-edge advancements in NLP and its applications to real-world problems.

Ph.D. Student, IST

Research Topic: Large Language Models, Natural Language Processing, Graph Mining, and Explainable AI

shosse2@gmu.edu

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am an incoming Ph.D. student in the Information Sciences and Technology Department at George Mason University. My research interests include Large Language Models, Natural Language Processing, Graph Mining, and Explainable AI. I also have experience in spam detection and text analysis, as well as image and video processing. Broadly, my goal is to contribute to making social media platforms more trustworthy and enjoyable, while promoting greater transparency in AI-driven decision-making.

Masters Student, AIT

Research Topic: IoT-based healthcare security, cloud networks, system security analysis

dnigam@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am currently pursuing a Master of Science in Applied Information Technology with concentration in  Cyber Security at George Mason University. My research areas include IoT-based healthcare security, cloud networks, and data-driven approaches to system security and analysis. With hands-on experience in secure data communication, SIEM tools, and network security frameworks, I am passionate about creating innovative and robust solutions to address modern cybersecurity challenges.

Masters Student, CS

Research Topic: Natural language processing

jnaveenk@gmu.edu

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Advisor: 

Dr. Sanchari Das

ABOUT 

Fueled by a passion for innovation, I specialize in artificial intelligence and machine learning, leveraging expertise in NLP, predictive analytics, and deep learning to solve complex challenges. Proficient in Python, TensorFlow, and AWS, I design scalable, data-driven solutions that deliver transformative results and drive technological advancements.

Masters Student, DAEN

Research Topic: Data Privacy, healthcare data security, Large language models

ssominen@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am a Master of Science student in Data Analytics Engineering at George Mason University, specializing in AI, machine learning, LLMs, data privacy, and healthcare data security. I am committed to developing scalable solutions for secure data handling and optimizing AI-driven systems. With hands-on experience in enterprise architecture, workflow automation, and cloud platforms, I am passionate about leveraging advanced analytics, machine learning models, and data engineering techniques to design innovative and scalable solutions that address real-world challenges in data privacy, security, and AI-driven systems.

Masters Student, DAEN

Research Topic: Machine learning modeling, Statistical analysis, Data engineering

hsingh45@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

Hello, my name is Harkirat Singh, and I am a Master’s student in Data Analytics Engineering at George Mason University. My academic background has equipped me with expertise in tools and technologies such as Python, SQL, R, Tableau, and Databricks. I have worked on projects such as analyzing structural and environmental data to optimize bridge longevity, developing a movie recommendation system using collaborative filtering, and utilizing machine learning models to enhance liver disease diagnostics. With a strong foundation in predictive modeling, statistical analysis, and data engineering, I am eager to collaborate on innovative research initiatives that generate meaningful insights and drive progress in the field.

Masters Student, DAEN

Research Topic: Identity and Access Management

vpodapat@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am a second-year graduate student at George Mason University, pursuing a Master’s degree in Data Analytics Engineering. I hold a Bachelor’s degree in Computer Science and have professional experience in Identity and Access Management from my tenure at Deloitte USI, where I worked with tools such as ServiceNow, SailPoint, and Mainframe. My journey has provided me with a good foundation in python, SQL, tableau, machine learning, and database management, and I am committed to learning and improve everyday. 

Masters Student, DAEN

Research Topic: Security and privacy challenges in healthcare

mrajmoha@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I'm a graduate student majoring in Data Analytics Engineering. I hold a master's degree in Software Systems and have professional experience as a data engineer where I worked with healthcare organizations. My journey has provided me with a good foundation in Python, PySpark, SQL, Database Management and AWS. I'm currently working as an assistant on a research that focuses on addressing the security and privacy challenges in healthcare, with a specific emphasis on the healthcare apps and Internet of Medical Things.

Masters Student, AIT

Research Topic: Driven Automation and Optimized ML

apanchan@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am Aravind Panchanathan, a Software Engineer and Master’s student at George Mason University, passionate about data pipelines, machine learning, and AI-driven automation. My interests lie in building scalable data systems, optimizing machine learning workflows, and developing AI-powered solutions. I enjoy solving complex data and engineering challenges. 

Masters Student, DAEN

Research Topic: Healthcare Misinformation

abalasu5@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am a graduate student pursuing an MS in Data Analytics Engineering at George Mason University, specializing in machine learning, AI, and data-driven decision-making. With extensive experience as a Data Engineer, I have strong expertise in Python and Java. Currently, my research focuses on detecting fake health news using AI and machine learning to help combat misinformation in healthcare.

Masters Student, CS

Research Topic: AI Driven Web Applications

bgade@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

Hi, I am Banudeep. As a Master’s student in Computer Science, I focus on full-stack application development and enhancing web applications with artificial intelligence technologies. My goal is to create smarter, more efficient systems that improve user experiences and operational effectiveness. I am dedicated to pursuing advanced projects in full-stack development and AI to continuously expand my technical skills and practical knowledge.

Masters Student, DAEN

Research Topic: Data Science, NLP

praviral@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

I am a Master’s student in Data Analytics Engineering at George Mason University, passionate about data science, machine learning, and natural language processing (NLP). My expertise lies in applying advanced analytics and AI-driven techniques to extract valuable insights and solve real-world problems.

Masters Student, CS

Research Topic: AI  Agentic Systems

spati@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

Hello! I'm Sweta Pati, a Master's student in Computer Science specializing in Machine Learning at GMU. My academic and professional background is deeply rooted in the Data Science, Machine Learning, and Natural Language Processing domain.

I have 3+ years of experience as a Data Scientist at HighRadius, where I developed end-to-end ML models for Fortune 500 clients like Nestle, Kraft Heinz, and Uber, significantly automating their Autonomous Receivables processes.

Previously, I worked on instruction-tuning LLMs for event extraction, leading to a paper submission at ACL 2025. Currently, I am working in the domain of AI Agentic systems.

Masters Student, DAEN

Research Topic: AI/ML to Cyber Security

mgrover3@gmu.edu 

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Advisor: 

Dr. Sanchari Das

ABOUT 

Hello, my name is Mayank Grover, and I am a graduate student in Data Analytics Engineering at George Mason University. With a foundation in full-stack development and a strong interest in data science, I’ve worked on projects involving data management, deep learning classification, and analytics. My recent focus lies in applying AI/ML to cybersecurity and data privacy challenges. As part of my undergraduate research, I contributed to projects utilizing image data and generative adversarial networks (GANs), which enhanced my expertise in predictive modeling and deep learning. I’m passionate about building secure, data-driven solutions to address evolving cyber threats and privacy concerns.

Masters Student, CS with ML specialization

Research Topic: Natural Language Processing (NLP), Vision-Language Models (VLMs)

dbanerj@gmu.edu 

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Advisor: 

Dr. Sanchari Das, Dr. Ziwei Zhu

ABOUT 

I am a Computer Science graduate student specializing in Machine Learning, with research interests spanning Natural Language Processing (NLP), Vision-Language Models (VLMs), and the development of reliable, interpretable AI systems. My current work focuses on Medical Visual Question Answering (VQA), applying vision-language modeling to interpret structured health data such as heart rate and sleep trends. I am also investigating prompt injection vulnerabilities in LLM-based agentic systems, exploring how differential privacy impacts model performance and robustness. With prior experience as a Salesforce Developer and Data Analyst, I combine practical industry skills with experimental research to contribute to advancing trustworthy, scalable AI technologies.

Ph.D. Candidate, CS

Research Topic: Natural Language Processing for Privacy Policies

Andrick.Adhikari@du.edu 

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Advisors: 

Dr. Sanchari Das and Dr. Rinku Dewri 

ABOUT 

I have joined Google as a Software Engineer from 2023. My research interests encompass Privacy and NLP. My dissertation is focused on the application of NLP to effectively extract privacy specific features from organizational privacy policies and present a scalable, easily adaptable solution for users.

Ph.D. Student

Graduate Teaching Assistant 

Research Topic: Augmented and Virtual Reality Authentication Tailored for the Marginalized Population

Naheem.Noah@du.edu

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Advisor: Dr. Sanchari Das

ABOUT 

My research focuses on Usable security and Privacy for Augmented and Virtual Reality. Particularly, I focus on the Authentication of  AR/VR devices. I have over 3 years of industry experience as a Software Engineer. My research work has been published in venues such as CASA, IEEE S&P, ARES, HFES, WPES, and others

Ph.D. Student, CS 

Graduate Teaching Assistant 

Research Topic: Older Adult IoT Privacy and Security

Suleiman.Saka@du.edu   

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Advisor: Dr. Sanchari Das

ABOUT ME:

My research interests span IoT security, privacy, cybersecurity, accessibility, and HCI, with a primary focus on older adults. I am passionately dedicated to investigating innovative solutions to address the distinct challenges encountered by this underrepresented demographic. I have over 5 years of industry experience as an IT/Transmission Engineer. My research has been published in CHI, COMSYS & GSA.

Ph.D. Candidate, CS

Graduate Teaching Assistant

Research Topic: Telehealth Privacy and Security

Faiza.Tazi@du.edu

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Advisor: Dr. Sanchari Das

ABOUT ME

My research focuses on the improvement of privacy and security procedures within telehealth services, with a special emphasis on private practices. I hold a profound enthusiasm for investigating novel approaches that effectively tackle the distinctive obstacles encountered by small, resource-constrained practices. 

Undergraduate student

ABOUT

I am a dedicated student pursuing a double major in Computer Science and Mathematics. My passion lies in the field of cybersecurity, where I have been actively conducting research. My focus has been on user privacy and security.

Currently, my research focuses on Improving US-India Human Factors in Digital Economy Convergence, as part of the CRA program. This work allows me to delve deeper into the complexities of international cybersecurity dynamics and digital growth.

In addition to my studies and research, I also work as a programming tutor and a grader for calculus. This role not only allows me to share my knowledge with others but also helps me to continually refine my own understanding and skills.

Through my academic journey and work experience, I strive to make a meaningful contribution to the field of cybersecurity and look forward to exploring new avenues in this ever-evolving domain.

Undergraduate student

ABOUT

I am an undergraduate student in the Computer Science program at the Ritchie School of Engineering and Computer Science at the University of Denver and a member of the Inclusive Security and Privacy-focused Innovative Research in Information Technology (InSPIRIT) Lab.  I am majoring in Computer Science with minors in Math and Leadership. My current research focuses on Improving US-India Human Factors in Digital Economy Convergence. 

Bachelor's/Masters student

Email: alisha.pravasi@du.edu

LinkedIn

ABOUT

I am a Bachelors and Masters student in Computer Science doing research under the supervision of Professor Sanchari Das (Ph.D.) at the' Ritchie School of Engineering and Computer Science, University of Denver. My research interests encompass natural language processing, aritificial intelligence, and algorithmic bias. I am passionate about exploring effective solutions that address minorities in the new AI era.

Undergraduate Student

Email: 

LinkedIn

ABOUT

I am an undergraduate student in Computer Science doing research under the supervision of Professor Sanchari Das (Ph.D.) at the' Ritchie School of Engineering and Computer Science, University of Denver. My research interests encompass mobile app based security.