Senjuti Dutta

PhD in Computer Science specializing in Human-Computer Interaction (HCI) and Applied AI.

Research Expertise

Human Computer Interaction
Crowdsourcing
Applied AI

About

My research focuses on leveraging Human-Computer Interaction and Applied AI to advance flexibility and inclusivity in digital environments and product development processes. I have integrated generative AI techniques to streamline the design of experiments, enabling innovative approaches to prototype testing, evaluation, and user interaction studies. My work includes developing design guidelines that support crowdworkers' flexibility by incorporating the use of various devices beyond traditional desktops and laptops. Additionally, I have modeled diverse perspectives in AI and refined Large Language Models (LLMs) to address nuanced content, ensuring that generative AI contributes to robust decision-making frameworks. I have also created accessible communication tools for marginalized communities and optimized data processes for various AI applications, consistently bridging user research with software development to promote equity, inclusion, and flexibility in AI-driven systems. Outside of research, I am a nature enthusiast and enjoy baking.

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Education

University of Tennessee at Knoxville

PhD, Computer Science / July, 2024

Knoxville, Tennessee, United States of America

University of Memphis

Masters, Computer Science / August, 2020

Memphis, Tennessee, United States of America

Experience

AImpower

Reserach and Engineering fellow / August, 2024Present

Developing communication tools impacting over 80 million users and working on front-end solutions for personalized communication tools

Keywords Studios

Human Data Project Manager Intern / May, 2024July, 2024

Led the curation and processing of large datasets for AI models, enhancing their real-world appli- cability as well as designed and implemented data quality methodologies to improve the accuracy and consistency of human-generated data, resulting in more efficient and effective labeling workflows for AI models

University of Tennessee

Graduate Reserach Assistant / December, 2020July, 2024

Pioneered user research to enhance crowdworkers’ flexibility across multiple devices and applied machine learning solutions to develop personalized guidelines based on device usage pat- terns and crowdworkers’ feedback.

Google

Student Researcher / August, 2022May, 2023

Led efforts to investigate and model subjectivity in AI using generative techniques, optimizing LLMs through soft tuning to better handle nuanced and context-sensitive content. Leveraged generative AI models to innovate in creative domains, such as story writing and humor generation, expanding their applications and advancing product development by enabling more effective content generation and testing methodologies.

University of Tennessee

Graduate Teaching Assistant / August, 2020July, 2022

Directed Python lab sessions for over 50 students, providing hands-on guidance and support to enhance their understanding of Python programming and data science concepts. • Graded homework, projects, and exams for multiple advanced courses, ensuring fair and consistent assessment across subjects for around 80 students, including: DATA 201: Data Knowledge and Discovery, COSC 522: Machine Learning, and ECE 462: Cyber-Physical Systems Security.

University of Memphis

Graduate Research Assistant / August, 2017May, 2020

Designed and implemented advanced algorithms for keyword matching in crowdsourcing systems, ensuring the protection of both keyword and user privacy. • Created and executed algorithms to efficiently convert between morphed and standard images of passports, optimizing performance and accuracy in image processing tasks. • Developed and delivered instructional courses on multi-factor authentication and authorization, increasing user security awareness and compliance.

University of Memphis

Graduate Teaching Assistant / August, 2017May, 2020

Led over 10 classes across undergraduate and graduate levels, providing office hours to explain the concepts of key computer science subjects: Python Programming (COMP 4030/6030), Graduate Database Course (COMP 7115), and Object-Oriented Programming and Data Structures (COMP 2150). • Guided undergraduate, master’s, and PhD students in developing and refining their final course projects, helping them apply theoretical knowledge to practical scenarios.

Jadavpur University

App Developer Intern / November, 2016July, 2017

Created an Android app that accurately determines user location and orientation, leveraging GPS and sensor data to provide reliable real-time navigation. • Designed and implemented an audio instruction system tailored for individuals with visual impair- ments, enhancing app accessibility and usability by providing clear, spoken directions for naviga- tion.

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