I am Sumera Anjum, currently pursuing a master's degree in Computer Science at the University of North Texas. I have worked as a support engineer intern in Amazon’s Kindle Reader SE team, where I developed a self-serving diagnostic tool to assist the customer support team in resolving issues related to Kindle for PC & MAC. I have a stellar academic record and have worked on several interesting projects involving CNN, XGBOOST, and other machine learning algorithms. I am deeply fascinated by subjects like Machine Learning, Operating Systems, Computer Networks, and Design and Analysis of Algorithms. I have also been a part of the ECA (Emerging Computer Arena) club, where I had the opportunity to study advanced CSS and Bootstrap. I have done AWS courses and internships to gain knowledge about the cloud and the services provided by Amazon to handle enormous data. As a diligent, highly organized, and inclusive person, I am enthusiastic about learning and applying modern technologies, particularly in the fields of Artificial Intelligence and Machine Learning, to solve real-world problems. Following the quote, "Everything I know is but a drop in the ocean of knowledge," I believe in expanding my horizons.

In my leisure time, I love listening to music and reading.

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.

My name is Mellacheruvu Raviteja, and I am currently pursuing my Master's in Computer Science at the University of North Texas. My academic journey is deeply rooted in my passion for artificial intelligence, machine learning, and their applications in solving real-world problems. I believe that these technologies must be developed with a focus on ethical considerations and societal impact, ensuring they contribute positively to the world.

Before joining UNT, I completed my Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, where I actively participated in various tech-driven projects and research initiatives. One of my significant projects involved the development of a deep learning platform for sapota quality assurance using thermal imaging. This study aimed to predict the shelf life and maturity of sapota, as well as detect bruises on the fruit. By applying convolutional neural networks such as ResNet, VGG16, and MobileNet, we achieved an accuracy of 93% in ripeness classification, shelf life prediction, and bruise detection. These findings suggest that the combination of thermal imaging and deep learning techniques can provide a non-destructive method for quality evaluation of sapota fruit, potentially reducing food waste and enhancing consumer satisfaction.

My technical expertise includes programming languages such as Python, C++, and C, as well as tools like MySQL, Git, and various machine learning frameworks. In my free time, I enjoy working on exploring new technologies, and connecting with others who share my interests. I am committed to advancing the field of AI, ensuring that it is developed with fairness, transparency, and without bias, as we shape a future where technology serves the greater good.

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 am an M.Sc. in Artificial Intelligence student at the University of North Texas. I'm currently in my second year, conducting research on language models. I strive to democratize access to AI and believe it is our moral and professional duty as practitioners to ensure equal and democratic access for all communities. My goal is to create tools that empower individuals and communities to excel not only in their professions but also in their personal and daily lives.

Before pursuing my Master's, I was a Senior Software Engineer for 7 years, working at several startups and leading multiple software production lifecycles. I also founded a free career coaching program to help individuals transition into coding careers. The impact I had on my local community encouraged me to work towards democratizing AI.

Over the years, I've worked with numerous technologies, and practiced a wide range of skills from systems to algorithmic design. When I'm not coding, you can usually find me on my mountain bike. 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.

Hello, I'm Kareem Baba Shaik, a master's student in Artificial Intelligence at the University of North Texas, Dallas. I got my bachelor's degree in computer science at Malla Reddy Engineering College in Telangana, India. I love working with AI and competitive programming that helps people.

In my bachelor's, I did many official and unofficial internships with product-based startups, mostly in web development. I also led the student association technical club in my college, helping other students to guide and find what they're passionate about in tech. I've been into programming since high school, where I started teaching it to others to help them get over their fear of coding.

I like to dive into various technologies and experiment with many programming languages. I've worked on lots of projects in areas like machine learning, data science, web, and app development. Now, I'm really interested in making AI that's safe and fair, without bias, and protects people's privacy.

I taught myself a lot about programming. I'm good with C++, Python, Java, JavaScript, and TypeScript. Besides tech, I like to cook and watch anime

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 Rafid Ishrak Jahan, currently pursuing a master's degree in Computer Science at the University of North Texas (UNT).

Before enrolling at UNT, I earned my B.S. in Software Engineering from the University of Texas at Arlington (UTA). I was also a Math Tutor at the Department of Mathematics, UTA. Soon after graduation, I stepped into the professional world by becoming an Associate at Infosys Limited. My journey began with an intensive boot camp experience where I received training in Full Stack App Development using Java 8, Spring Boot, Oracle Database, and Angular. Boot camp experience laid the foundation for my subsequent involvement in a project that centered on the creation of Java-based microservices for web applications. Accumulating two and a half years of valuable professional experience, I decided to further my education with a focus on Artificial Intelligence (AI). I aspire to leverage my past experiences in solving real-world problems as a part of the Responsible AI Lab.

During my leisure time, I find solace in exploring the wonders of nature, as well as engaging in sports like cricket, soccer, badminton, and FIFA.

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 pursuing my Ph.D. in the Department of Computer Science and Engineering (CSE), UNT. I will conduct further research on Reinforcement Learning in the Responsible AI Lab. My research interest lies in Reinforcement Learning, Responsible AI, and Computer Vision.

Before joining UNT, I obtained my M.S. in Electrical and Computer Engineering from Northeastern University, Boston (2021-2023). I experienced a project about image segmentation and implemented an image super-resolution system utilizing a Generative adversarial network (GAN). I received my B.E. in Software Engineering from Wuhan University of Science and Technology in 2017. I focused on classic algorithms and designed an American Sign Language (ASL) recognition system with YOLOv3.

My primary programming languages are Python and Java. I also have experience in C, C++, Golang, and Kotlin. I love playing pickleball, going hiking, and editing videos in my leisure time.

My name is Kai Zhuang. I am pursuing my Honors BSc in Computer Science at the University of Toronto with minors in Mathematics and Statistics. While my technological interests are diverse, they all have one thing in common: I'm excited about technologies that can be utilized to create meaningful solutions to problems relevant to our lives.

Imagine a world where technology is integrated into every part of our lives. Perhaps augmented reality glasses will highlight traffic hazards to lower the rate of vehicle accidents. Maybe object recognition models will be integrated into earbuds so the blind can receive audio descriptions of the world they can't see. I'm excited to take on a role in inventing that future and realizing a more integrated society. With that mission, I have already pursued many projects that aim to solve local problems like social distancing, driving accidents, and friend gatherings. I started small but have big plans for the future. Those plans brought me here, to the Responsible AI Lab where I aim to do meaningful research with artificial intelligence.

To achieve my goals, I have accumulated a robust skill set. To list a few: Python, Java, JavaScript, TypeScript, HTML/CSS, R, ReactJS, React Native, Flutter, Node.js, Express, Spring Boot, GraphQL, Git, MongoDB.

Outside of developing software, you can find me cooking, practicing the violin, singing with my friends, and preparing to run my first marathon in 2023!

My name is Kaicheng Li. I am now a Math BS undergraduate student at Ohio State University with a minor in Computer Science. I am interested in data analysis and server management, especially combining AI learning and data analysis. I have attended programming competitions since I was in middle school. In high school, I participated in the bot programming club and helped the robot club create its control system. I am studying applied math at OSU, focusing on discrete calculus. Also, I attend a minor in Computer Science Data Analytics Track. I look forward to giving out a general solution of tons of information that may help with the social problem. Applying responsible AI to the solutions will make the analytics more reliable. I used to create a lot of bots that work for different groups. Those bots can support various functions that respond to users' messages or commands in the group chat. But the bot can only reply to the hardcoded keywords or commands. I want to apply language learning at this point to make the bot smarter and easier to use. I will try my best to learn from all of you—everyone's evaluation and guidance are important to me.

I have experience in Python and C++. I am now learning Java, JavaScript, and machine learning. 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.

I am Panav Mhatre a high school student at Lebanon Trail High School. Throughout my time in high school, I have taken courses related to computer science, engineering, and mathematics. I enjoy building computer algorithms that can help solve problems faced in the real world through artificial intelligence and machine learning. I learned machine learning while interning at an AI startup, where I dabbled in various projects related to natural language processing (NLP) and computer vision (CV). Some of my previous research experiences include being a researcher at MIT-Biogen Labs, where I researched in the biomedical field.

I am interested in the Responsible AI lab partly due to the increased impact AI is having in our daily lives. With that, there has been an increased focus on building models that are ethical and fair to all genders and ethnicities. I am good at problem-solving, creative thinking, and programming. I am a self-taught developer with proficiencies in Python, Java, HTML, CSS, and JavaScript. In my free time, I love to spend time with my friends and family.