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Utkarshani Jaimini

@utkarshanijaimini

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PhD candidate specializing in AI and causal reasoning.

United States

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What I'm looking for

I seek a collaborative environment where I can innovate in AI and contribute to impactful projects.

I am a dedicated PhD candidate at the University of South Carolina, specializing in computer science with a perfect GPA of 4.00. My research focuses on auditing and enhancing AI-generated content detection systems, where I have developed methodologies to improve the robustness of state-of-the-art detection systems. My work has involved curating extensive datasets and collaborating with esteemed colleagues to address biases in AI systems, particularly in political contexts.

In addition to my research, I have gained valuable experience through internships at Bosch Center for Artificial Intelligence and Siemens Incorporation, where I designed causal neuro-symbolic AI approaches for root cause analysis in complex systems. My projects have contributed to advancements in autonomous driving safety and industrial metaverse applications, showcasing my ability to apply theoretical knowledge to practical challenges. I am passionate about leveraging AI for societal benefits and have presented my findings at international conferences.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

Artificial Intelligence Institute

Aug 2019 - Present (5 years 9 months)

Conducted research on AI-generated content detection systems and root cause analysis in smart manufacturing. Developed methodologies for causal modeling and collaborated with various universities to enhance AI robustness and efficiency.

AI Systems Data Analysis Knowledge Graphs Python Machine Learning Research Collaboration

Intern

Bosch Center for Artificial Intelligence

May 2023 - Jul 2023 (2 months)

Designed and developed causal neuro-symbolic AI approaches for root cause analysis in multi-object collision videos and enhanced autonomous driving systems for better safety and explainability.

Neuro Root Cause Analysis Video Processing Knowledge Graphs Python Machine Learning Autonomous Data Extraction

Intern

Siemens Incorporation

May 2022 - Jun 2022 (1 month)

Developed an industrial metaverse knowledge graph to enhance interoperability in design and engineering applications, utilizing computational fluid dynamics and semantic modeling.

Knowledge Graphs Python CAD AI Data Analysis Engineering

Research Assistant

Kno.e.sis at Wright State University

Jan 2016 - Jul 2019 (3 years 6 months)

Developed a personalized Bayesian inference model for asthma care using multi-modal patient health data, enhancing management and reducing clinician workload.

Data Analysis Python Statistical Modeling Research Collaboration Data Management Survival Analysis

Education

Degrees, certifications, and relevant coursework

University of South Carolina

Doctor of Philosophy, Computer Science

2020 - 2025

Grade: 4.00/4.00

Pursuing a Doctor of Philosophy in Computer Science with a focus on advanced AI techniques. Expected to defend in February 2025 and graduate in April 2025.