I am Sumera Anjum, a Ph.D. student in Computer Science at the University of North Texas, where I also earned my Master’s degree with a perfect 4.0 GPA and received the Distinguished Student Award. My research focuses on making AI systems more trustworthy, with an emphasis on reducing hallucinations. I am particularly interested in the intersection of AI safety, interpretability, and real-world applications, where innovation can directly translate into impactful solutions. I have worked on projects such as HALO, a framework for mitigating hallucinations in clinical decision-making systems; WildGuard, an AI-powered wildfire detection pipeline built on Google Cloud Platform; and Poly-FEVER, a multilingual fact verification benchmark.

Beyond research, I bring industry experience as a Support Engineer Intern at Amazon, where I developed diagnostic tools that optimized customer support operations. I also have a strong foundation in cloud computing, data-driven systems, and applied machine learning. As a member of the Emerging Computer Arena (ECA) club, I gained hands-on experience with diverse technologies and further strengthened my problem-solving skills.

Outside of academics, I enjoy learning new languages, reading novels and manga, and sketching, particularly creating portraits of my favorite characters, a hobby that nurtures both creativity and attention to detail.

My name is Dawei Gao, and I am a PhD student in Computer Science and Engineering at the University of North Texas, under the supervision of Prof. Yunhe Feng. My research interests include Responsible AI, Large Language Models, and Continual Learning.

Before joining UNT, I obtained a Master's degree in Electronic and Information Engineering at the University of Chinese Academy of Sciences. My research experience includes the simulation of composite materials and the application of continual learning techniques to medical image segmentation. I combined the Segment Anything Model with regularization strategies to mitigate catastrophic forgetting. I also hold a Bachelor's degree in Prospecting Technology and Engineering from the China University of Petroleum, Beijing, where I conducted research on the application of Convolutional Neural Networks for seismic wave classification.

I primarily program in Python and have experience with C++ and C. In my free time, I enjoy hiking and running, and I have successfully completed a full marathon.

I am a PhD student in the Department of Computer Science and Engineering (CSE) at the University of North Texas (UNT), Denton, TX, where I intend to conduct additional research on Reinforcement Learning in the Responsible AI Lab (RAIL). I am also a UNT alum, having received my undergraduate degree in computer science, and I hold a Master’s degree in Computer Science from the University of Oklahoma. Before entering industry and beginning my academic journey, I served in the United States Marine Corps for 12 years, deploying multiple times and visiting several countries worldwide.

I have industry experience working at L3 Harris Technologies in Arlington, TX, as a software engineer, focusing on modeling & simulation and Communications Navigation and Instrumentation (CNI). After my time at L3, I worked as part of the Pathways Program at NASA’s Johnson Space Center in Houston, TX, where I contributed to the PSION lab, earning co-authorship of a chapter in a major university textbook. I also worked as a member of the Valkyrie team, focusing on virtual reality (VR) and inverse kinematic models for real-time control of humanoid robots.

Currently, I am a Software Engineering Manager at Lockheed Martin (LM) for Advanced Development Programs (ADP), commonly known as Skunk Works. At LM, I have continued my work in modeling and simulation, led DevSecOps teams, and now serve as the Program Manager (PM) for an F-35 Mission Systems Navigation SW team. Additionally, I manage other CNI teams responsible for work in ADP and other programs. My technical skills include programming in Java, C++, Python, and ADA 95, with experience in various other languages as needed. I am proficient in using version control software such as Git, GitHub, GitLab, and BitBucket. I frequently use container solutions like Docker and Podman, manage containers with Kubernetes, and utilize helm charts for Kubernetes management. In the realm of AI and machine learning, I have experience with libraries such as sci-kit, PyTorch, and TensorFlow.

Hey there! I am Asmitha Dhamodharan, a Computer Science undergraduate at the University of North Texas.

Recently, I graduated high school in the top 4% of my class with endorsements in STEM and Multidisciplinary Studies. After placing 2nd at the district level for Written Computer Science (in Core Java), I was recognized by the University Interscholastic League (UIL) for my performance at the Regional Academic Meet at Texas Tech University. It was thrilling and humbling to have had the opportunity to represent my school and its computer science department at prestigious events. Impressed by my achievements and leadership, my high school also selected me to receive the Northeast Tarrant Chamber scholarship last year.

Outside of academics, I am an Indian classical dancer and taekwondo athlete! I love doing henna, teaching others, and challenging myself (intellectually and physically). Speaking of teaching, I worked for 1+ years as a Code Sensei at Code Ninjas where I taught game programming to kids using Code Ninjas' game development platform (GDP) and Unity platform. The programming languages used were primarily JavaScript and C#, respectively.

It was purely out of interest that I started working on exploratory data analysis and visualization with Python. Due to my growing curiosity about machine learning, I immersed myself in a foundational course exploring machine learning, AI, and deep learning. I am amazed at the benefits of using AI and hope to balance the ethical uses for it. At the Responsible AI Lab, I look forward to learning more from my seniors and improving my research skillset.

I completed my Master's in Artificial Intelligence at the University of North Texas (GPA 4.0) with Dr. Feng as my advisor. I am also honored to be the recepeient of two "Outstading Graduate Student in AI" awards from the Computer Science and Engineering Department, for two consecutive years in 2024 and 20205. In Fall 2025, I started my Ph.D. in Data Science under Dr. Feng (co-advisor) and Dr. Kewei Sha (co-advisor) in the Information Science Department.

Over the years, I've worked with numerous technologies, and practiced a wide range of skills from scalablesystem architecture to algorithmic design. Before pursuing my Master's, I was a Senior Software Engineer for 7 years and I specialized in rapid prototype launching for tech startups. My current research is in Agentic AI and also applications of AI in finance and private equity, healthcare, public infraustructure maintenance. I have review-pending and/or published work in each of the mentioned fields.

When I'm not coding, you can find my at the gym, or out of town on a hike. I'm also attempting (and failing) to learn the electric guitar.

My name is Devin Brown. I'm pursuing a Computer Science BS at the University of North Texas.

Technology has always been a big part of my life. My journey started as a child taking apart old electronics to understand them. In high school I took my first coding course, attended programing competitions, and joined the robotics club. Since then I have been working on personal projects and teaching myself different languages here and there. The promise of A.I. has fascinated me for years and I am excited to take part in it myself. The tech industry is so vast and interesting, I have a wide variety of interests, but currently my main focus is on generative A.I. and computer vision.

In my free time I like to work on coding projects, make music, and I'm learning how to animate. I'm excited to be apart of the Responsible AI Lab; I hope to grow as a computer scientist and help the lab ensure that humanity can enjoy the benifits of A.I. while being protected from its potential harm.

I am Mingchen Li, currently pursuing my Ph.D. in the Department of Computer Science and Engineering (CSE) at UNT. I obtained my Bachelor's degree in Computer Science with AI from the University of Nottingham, China campus and Master's degree in Information Systems at Northeastern University. Before joining the lab, I gained experience in various NLP topics, including BERT fine-tuning for COVID-19 Tweets at Hong Kong HangSeng University, outcome was published in Expert Systems with Application Journal. Additionally, I previously worked as a Software Engineer in China, where I participated in diverse cross-field projects such as deploying the Bayes model on textile machines and handling sensor data in wastewater processing. I am eagerly looking forward to contributing to a more efficient and equitable world with the assistance of AI. Industrial applications combined with AI have the potential to greatly enhance efficiency. I have a strong interest in numerous ML/AI topics and am always open to learning.

My primary programming languages are Python, Java, and C#. I hope that my knowledge and programming skills, though limited, will be an asset to the lab. In my free time, you might find me cooking, gaming, or watching anime.

I am a PhD student in the Department of Computer Science and Engineering (CSE), University of North Texas (UNT), Denton, TX. I will conduct my further research on Transformer in the Responsible AI Lab.

Before joining UNT, I worked as a storage backend engineer for half a year in industry. I have finished my Master's distinction degree in the University of Birmingham major in Data Science. I focused on predicting car accidents by machine learning/deep learning methods based on VANET, an edge computing environment; and probed factors that influence the price of cryptocurrency based on the blockchain; designed and implemented a data vault model. I have obtained my Bachelor's degree major in Computer Science and Technology at the Xiamen University of Malaysia. I experienced sentiment analysis based on deep learning algorithms by Bidirectional Long Short Term Memory.

I frequently program by using Python, have experience in C, C++ and Go language, and learn some knowledges about Rust. I am highly efficient and good at parallel working. In my leisure time, I used to study miracle things like tarot and astrology, watch musicals and dramas, visit museums, galleries and exhibitions.

I am currently pursuing my Ph.D. in the Department of Information Science at the University of North Texas (UNT), where I am a member of the Secure, Reliable, Intelligent Systems Lab. My research focuses on the intersection of Large Language Models (LLMs) and Cyber, with a particular emphasis on Host-based Intrusion Detection Systems (HIDS), system call analysis, and AI-driven anomaly detection.

Before joining UNT, I earned my M.S. in Electrical and Computer Engineering from Northeastern University, Boston (2021–2023).

My primary programming language is Python, and I am proficient in libraries such as PyTorch and Hugging Face Transformers. I also have experience with high-performance computing, Linux-based environments, and cloud platforms. My broader technical interests include AI for security, threat detection, and secure system design.

My long-term goal is to apply the cutting-edge AI techniques into cybersecurity systems and edge computing devices, improving their adaptability, interpretability, and resilience against evolving cyber threats.

My name is Kaicheng Li, and I am pursuing a Master’s degree in Computer Science with a focus on Artificial Intelligence at the University of Southern California. I earned my B.S. in Mathematics (Applied Track) from The Ohio State University, with minors in Computer Information Systems and Game Design. My background bridges mathematics and computer science, with research and practical experience in machine learning, data analysis, and responsible AI. During my undergraduate studies, I strengthened my foundation in discrete mathematics, algorithms, and applied computation using Python, MATLAB, and Mathematica, while also developing projects such as chatbots and robotics control systems. As a research assistant in the Responsible AI Lab, I conducted data-driven analysis and co-authored a publication examining AI’s impact on streaming media. At USC, I am advancing my expertise in artificial intelligence to design reliable, responsible systems that address large-scale real-world challenges, with the long-term goal of contributing to intelligent technologies that integrate mathematical rigor with socially responsible applications.

I am interest in Trading Card games. In my leisure time, I like cooking and watching sports games like soccer, football, and baseball.

My name is Swagatika Dash. I recently graduated with my master's degree in Information Management with a Data Science specialization from the University of Washington, Seattle. I have seven years of work experience in various software industries like Oracle, BNP Paribas, and HCL Technologies in India. Before joining my master's, I worked as a Senior Consultant at Oracle doing data analytics and statistical data analysis of financial data. That is the point of my professional career, where I got introduced to the world of data science and machine learning and that persuaded me to do a master's in the Data Science field. My areas of expertise include surfing through vast amounts of diverse data to discover valuable business insights, data visualizations, data storytelling to the stakeholders, performing statistical tests, and executing regression/ classification machine learning models with touching upon some significant areas of information management like data privacy, fairness, and model's explainability. I have a bachelor's in Computer Science and Engineering. Moreover, my data science and computer science educational backgrounds along with my professional experiences in the software industry have empowered me with some technical expertise and interpersonal skills.

My name is Muneer Ahmed. I am a Computer Science graduate student from the University of Massachusetts Amherst. I have worked as a Data Analyst in BofA India at all levels of the data pipeline, involving SQL and Hadoop. I love patterns and problem solving. I have always been fascinated with Big data, machine learning, and AI. Making use of machines and computers to bring about drastic changes in our quality of life is the future to which I want to contribute a little too. I completed my undergraduate study in Computer Science at VIT Vellore in India, where I had a chance to work on both ML and AI. Even in my current Master's course, I have compared the performance of various modeling methods(like KNN, Random Forest, CNN) on numerous datasets. I look forward to working on AI with the responsible AI lab and solving real-life problems.

At the Responsible AI lab, I would like to contribute to bringing core ethical values to AI. I plan to learn more about AI and its works by being part of this team. You can find me on the tennis court, playing games or watching anime on my computer.

My name is Brian Li and I am currently attending Winston Churchill High School, where I am learning advanced mathematics, physics, and computer science. I am passionate about the possibilities of Artificial Intelligence in the rapidly changing world stage and how AI will shape the job industry in the future. I have experience in Python and enjoy writing and reading novels.