Graduate Research Assistantships at George Mason University, United States
Anuridhi Gupta is a dedicated Ph.D. student and graduate research assistant specializing in Information Technology at George Mason University. Her academic journey reflects a consistent pursuit of excellence, marked by her inclusion on the dean’s list throughout her undergraduate studies in Computer Science. Currently pursuing her Ph.D. with a focus on applied machine learning, natural language processing, and social computing, Anuridhi is committed to leveraging technology for societal benefit.
Profile
Google scholar
Education
Anuridhi Gupta’s academic foundation is robust, beginning with her Bachelor of Science in Computer Science from George Mason University, where she was recognized for her exemplary performance as part of the dean’s list for all semesters. She subsequently earned her Master of Science in Applied Information Technology, concentrating on Cyber-Human Systems, further honing her expertise in the intersection of technology and human interaction. As she works towards her Ph.D. in Information Technology, she engages in groundbreaking research under the guidance of Dr. Hemant Purohit in the Humanitarian Informatics Lab, expected to be completed in 2026.
Experience
In her role as a graduate researcher at George Mason University, Anuridhi has significantly contributed to understanding and modeling human behavior through social media data analytics. Her research focuses on employing large language models to enhance scalability and reduce human effort in explainable stance detection. Additionally, she is involved in a National Science Foundation project aimed at developing effective approaches to protect individuals with developmental disabilities from cybercrimes in online social media environments. Anuridhi has also served as a teaching assistant, where she facilitated courses in SQL, Object-Oriented Programming, Data Structures, and Python, contributing to the academic development of her peers.
Research Interests
Anuridhi Gupta’s research interests are deeply rooted in applied machine learning, data mining, natural language processing, and social computing. Her work addresses critical issues such as bias detection in machine learning models, particularly in the context of cyber safety for vulnerable populations. Anuridhi explores how large language models can be harnessed to improve data analytics solutions and mitigate biases in online interactions. Her innovative approach to understanding human behavior and linguistic patterns on social media highlights her commitment to advancing knowledge in her field while prioritizing humanitarian outcomes.
Awards
Throughout her academic career, Anuridhi has been recognized for her contributions to research and academia. Her efforts have led to multiple accepted publications in prominent journals and conferences, underscoring her dedication to impactful research. Her work not only contributes to the academic community but also provides insights that are essential for societal advancement.
Publications
Anuridhi Gupta has authored and co-authored several significant publications that reflect her research focus and contributions to the field:
Bias Detection and Mitigation in Zero-Shot Spam Classification using LLMs (2024) – Accepted at the IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (IEEE-TPS).
Intent Mining Framework for Understanding Online Conversations on Vaping to Inform Social Media-based Intervention Design (2024) – Featured Article in Behavior and Information Technology Journal (BIT).
Summarizing Social Media News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track (2023) – Presented at The Thirty-Second Text REtrieval Conference (TREC).
Conclusion
Anuridhi Gupta is a well-qualified candidate for the Research for Women Researcher Award. Her strong academic background, impactful research, and dedication to addressing societal issues align well with the award’s objectives. While there are opportunities for growth, particularly in expanding her impact and networking, her current achievements and commitment to advancing knowledge in her field make her an excellent nominee for this recognition.