Lab Members


Yunhe Feng, PhD
Dr. Yunhe Feng, Director
he/him/his
Yunhe.Feng (at) unt.edu
Google Scholar
ORCID
@yunhefengit

I am an Assistant Professor in the Department of Computer Science and Engineering (CSE), University of North Texas (UNT), Denton, TX; a Tier-One (R1) Research University as per Carnegie Classification, where I direct the Responsible AI Laboratory (RAIL) and co-direct the Master's Program in Artificial Intelligence, the first Master of Science in AI in Texas and one of few nationwide. My research interest lies in Responsible AI, Mobile Security and Privacy, and Social Media.

Before joining UNT, I was a Postdoctoral Fellow/Scholar with Dr. Chirag Shah at the University of Washington (UW), Seattle (2020-2022). I received my Ph.D. in Computer Science in 2020 from the University of Tennessee, Knoxville (UTK). I also worked as a deep learning research intern (Summer 2018) and research assistant (Dec. 2018 - Sep. 2019) at Oak Ridge National Laboratory, where I led the interdisciplinary research project of DeepWelding. I obtained my B.E. in Computer Science & Technology and M.E. in Computer Technology from Beijing University of Technology in 2011 and 2014, respectively. I am affiliated with UW Responsibility in AI Systems and Experiences (RAISE) and serve as Associated Editor for Information Matters. I also serve as PC for AAAI, TPC for ICWSM, GLOBECOM, HPCC, etc.

My research has been sponsored by both academic and industrial grants, including Kaggle's Open Data Research Grant, Google Cloud & Harvard Global Health Institute COVID-19 Research Credits, UW-Microsoft Azure Cloud Computing Credits, UW Strategic Research Fund, and NSF-funded XSEDE (Extreme Science and Engineering Discovery Environment) Startup Allocation. I have received several fellowships and awards, including IEEE Smart Computing Special Technical Community (SCSTC) Early Career Award, UW Data Science Fellowship, UTK Min H. Kao Fellowship (the highest departmental award), UTK EECS Department Excellence Fellowship, a Best Paper Award by IEEE BigDataSecurity'18, and two Best Paper/Presentation Nominations by IEEE CloudCom'17 and ACM UbiComp'20. My research has been covered internationally by news outlets, including Financial Times, Business Insider, Yahoo! Finance, UW News, AAAS EurekAlert, and ACM Tech News.


Phoebe Kim
Phoebe Kim
Undergraduate Research Assistant
TAMS Class of 2024
phoebekim (at) my.unt.edu

My name is Phoebe Kim, and I am currently attending UNT through the Texas Academy of Mathematics and Science on a computer science-based pathway. I have an interest in the intersectionality of programming and society. I have experience in both aspects of my interest.

In my previous high school, Coppell High School, I was able to participate in computer science competitions and clubs like the Technology Student Association. Through these clubs, I became a team leader for my cybersecurity and game design groups, where I was able to learn leadership and computer science skills. I've been to local, regional, and state competitions regarding these subjects and hope to continue developing my skills through new opportunities. Currently, my research interest lies more in how technology can play into society, especially regarding social disparities, whether economic or gender inequality. Using AI, I hope to find trends about these disparities and predict them in order to educate people and hopefully mitigate their effects of them.

I have experience in Python and JavaScript, and I am now learning C++. Outside of academics, I love to read horror or thriller books, sew plushies, and bake garlic bread!


Bobby
Zulfiqar 'Bobby' Shaik
Undergraduate Research Assistant
TAMS Class of 2025
ZulfiqarShaik (at) my.unt.edu
LinkedIn

My name is Zulfiqar "Bobby" Shaik. I am from Coppell, Texas. I will be attending TAMS (Texas Academy of Mathematics and Science) at UNT starting in the Summer of 2023. I will be pursuing Computer Science pathway at TAMS and related research. I truly care about the Planet Earth and want to build AI computer systems to maximize the use of renewable resources, minimize environmental impact and efficiently manage sustainable sources.

All my education prior to TAMS has been in Coppell ISD. During the school years, I was in National Junior Honor Society, been President of Student Council, Officer in TSA (Technology Student Association), Leo Club, Solar Car Club and few other clubs, Youth Leader in community, Volunteer for many nonprofits. During Pandemic, I was instrumental in designing a faith-based prayer reservation and contact tracing platform. I want to continue to use the technology solutions to bridge the gap between schools and the communities.

Outside the academics, I'm passionate about Travel (most recent trip is to Australia and New Zealand), Architecture, Authentic regional cuisines of the world. I play Cricket during my downtime. Win or Lose, Dallas Cowboys are my team.


Phoebe Modugula
Sripoorna Modugula
Undergraduate Research Assistant
TAMS Class of 2024
sripoornamodugula (at) my.unt.edu

My name is Sripoorna Modugula. I am from Plano, Texas, and I am currently attending the Texas Academy of Mathematics and Science at UNT, where I am on the Computer Science track. Previously, I attended Plano East Senior High School where I was in the International Baccalaureate (IB) program and was on the STEM pathway. I am interested in computer science and AI. I really enjoy learning about AI, having participated in several robotics camps and clubs at Plano East Senior High, the Plano ISD Academy High School, the University of Texas at Dallas, and the University of Texas at Austin. I also was part of a selective summer internship for Android App Development at the University of Texas at Dallas. Part of my interest in AI is because it is a quickly changing field where new developments and breakthroughs occur all the time. These developments can be useful or dangerous. I am interested in exploring the effects of these breakthroughs and how to responsibly use and develop AI so that it benefits everyone.

I have experience in programming in C++ and Java. I am someone who is a quick learner and can think on their feet. In my spare time, I enjoy playing and watching sports such as soccer, volleyball, and football, reading mystery novels, watching history documentaries, and baking.


Colton
Colton Clemmer
Undergraduate Research Assistant
coltonclemmerdev (at) gmail.com
LinkedIn
GitHub

I am Colton Clemmer, pursuing a bachelor's degree in computer science at UNT. I am also employed as a senior developer at Profiscience Partners, where I work on writing a single page web app to help law firms keep track of their attorney's training called UniversitySite. I have been a hobby developer for many years, working on projects in machine learning, unity game development, web development, functional programming, and open source software. I have contributed to several open source projects, including Haskell's Cabal package manager. Currently, I am studying natural language processing in my free time. I am excited to be a part of the Responsible AI lab to better understand how formal research is done in computer science.

• Skills - Web programming, functional programming, machine learning, game programming, C#, SQL, Haskell, Rust, Typescript, and Python

• Hobbies: Open source software development, video games, rock climbing, and FPV drones.


Gengwen Kevin Li
Gengwen Kevin Li
Undergraduate Research Assistant
TAMS Class of 2025
GengwenLi (at) my.unt.edu
GitHub

My name is Gengwen Kevin Li and I am currently attending the Texas Academy of Math and Science. I am currently in the Computer Science pathway and I am interested in the development of artificial intelligence and its use. I believe that AI must be carefully and responsibly coded to work for the betterment of humankind.

Prior to coming to TAMS, I attended Seven Lakes High School in Houston, where I was on the STEM pathway. I was a member of the school’s Computer Science Club and Robotics Club, where I worked on a number of different things, such as helping program a robot for First Robotics Competition (FRC). In addition to this, I also worked with a team of other students to program 2 board games in Java. I also do game development in Unity as a hobby and I have coded a number of large projects in Unity, such as a multiplayer first person shooter. I believe that AI should be coded safely and without bias, as we move towards a future where AI is being integrated into more and more of our lives. I am interested in helping to create a future where our world is made better by unbiased, impartial, and fair AI.

I have experience in coding with Java, Python, C++, and C#. In my free time, I enjoy reading, participating in game jams, and socializing with my friends.


Arun
Arun Kumar Reddy
Graduate Research Assistant
arunkumarreddykandula (at) my.unt.edu
LinkedIn

Hello, I am Arun Kumar Reddy, a graduate student at the University of North Texas with a major in Artificial Intelligence.

I did my integrated dual degree in Electronics and Communication Engineering with a bachelor's at Jawaharlal Nehru Technological University Hyderabad, India, and a master's at the Asian Institute of Technology, Thailand where I was introduced to Artificial Intelligence and its problem-solving capability. This has paved a way for me to develop an autonomous navigation and operation Power Tiller for my master’s thesis project, a prototype that can be used to till farmland based on color detection and object tracking. I have 2+ years of experience working with a startup based out of Bangkok developing an image search engine for their product catalog, which is used to display search results from the image taken by the customer.

I am excited to be a part of The Responsible AI Lab where I could put in my learnings of Artificial Intelligence practically and solve real-world problems.


Pradhyumna Poralla
Pradhyumna Poralla
Graduate Research Assistant
PradhyumnaPoralla (at) my.unt.edu
GitHub
LinkedIn
@PRADHYUMNA12899

I am Pradhyumna Poralla, a master's student at the University of North Texas in Artificial Intelligence at Texas, Dallas. I pursued my Bachelor's in Electronics and Communication Engineering degree at Vidya Jyothi Institute of Technology, India, Telangana. I'm interested in AI and system design. I like to build things that are useful and easy to use, with a focus on generative systems. I have worked on a few projects in the field of AI for some startups in the beginning stage of my career and slowly developed an interest in developments that are going on in the Artificial Intelligence field. Exploring the intersection of computing, data, and artificial intelligence to solve problems that impact life on another end has some adverse effects on humanity to make it for the human good. I drew my interest toward Responsible AI for making AI models more responsible and trustworthy, keeping the system safe against bias and data stealing, ensuring fairness, transparency and explainability, human-centeredness, and privacy and security. I like to think about how to make life easier for everyone.

I am good at problem-solving, prototyping, and many other skills like programming. I'm a self-taught programmer, SysDev, and researcher in the field of Artificial Intelligence (Python, C, Java, MATLAB, and R). Also good at many tools and frameworks (React, Node, Angular, Php, and many more). I have handsome of experience in UX/UI design and web designing apart from my software development skills, and I have even done many projects in the IoT (Internet of Things) field and Robotics. I also love to be socialized and enjoy life.


Likhitha Mannam
Likhitha Mannam
Graduate Research Assistant
LikhithaMannam (at) my.unt.edu
GitHub
LinkedIn

I am Likhitha Mannam, I am currently pursuing masters in computer science in the University of North Texas at Denton, Texas. I completed my Bachelor's in computer science at Indian Institute of Information Technology, Allahabad. One of the areas I am particularly passionate about is Artificial Intelligence and Deep Learning. Throughout my academic and professional endeavors, I have actively engaged in projects revolving around these cutting-edge technologies. From developing innovative algorithms to implementing real-world AI solutions, I am deeply committed to leveraging the power of AI to solve complex problems and drive positive change.

My journey in the realm of technology has been enriched by diverse experiences, including roles as a software developer at both Citi and Microsoft. During my time at these renowned organizations, I had the privilege to work on various challenging projects, honing my skills and gaining invaluable insights into the industry. As I continue my academic journey at UNT, I am excited to further explore the interdisciplinary intersections of computer science and AI, and contribute to the advancement of technology in meaningful ways.


Hari Prasanth Penugonda
Hari Prasanth Penugonda
Graduate Research Assistant
HariPrasanthPenugonda (at) my.unt.edu
GitHub
LinkedIn
HackerRank

I am Hari Prasanth Penugonda, currently immersing myself in the realm of Artificial Intelligence at the esteemed University of North Texas. Originating from my undergraduate journey at KKR & KSR Institute of Technology and Sciences, I have steadily nurtured my passion for technology and its applications.

In India, I have embraced diverse roles, from serving as a freelance instructor to offering guidance as a campus recruitment trainer, aiding students in their transition to the professional arena. I've gained insightful knowledge during my freelance work that has helped me progress. I've also gained experience in the teaching profession. Proficient in languages such as C, Python, and Java, coupled with expertise in databases like MySQL and MongoDB, I bring a robust skill set to the table. Having earned certifications in Python for Data Science from IBM and successfully completing various AI and ML internships, my approach to learning is deeply rooted in hands-on experience. My project portfolio spans from crafting immersive virtual fitting experiences to engineering systems aimed at enhancing road safety. I take pride in victories in hackathons and coding challenges. My hobbies are Solving puzzles, browsing the net, and playing shuttle.

My focus has shifted towards Responsible AI, aiming to enhance AI models' responsibility and trustworthiness, safeguarding against bias and data theft, ensuring fairness, transparency, explainability, human-centeredness, privacy, and security. I enjoy contemplating ways to simplify life for all. Excited to use my skills and help out at The Responsible AI Lab, I'm looking forward to making a real difference in the ever-changing world of Artificial Intelligence.


Devin
Devin Brown
Research Assistant
BrownDevinM (at) gmail.com
LinkedIn

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.


Kareem Baba Shaik
Kareem Baba Shaik
Graduate Research Assistant
KareemBabaShaik (at) my.unt.edu
/heiskareem
@heiskareem
/heiskareem
@heiskareem

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


Asma Irfan
Asma Irfan
Graduate Research Assistant
asmairfan(at) my.unt.edu
LinkedIn

I am Asma Irfan, a graduate student at the University of North Texas in Denton, currently pursuing a Master's degree in Artificial Intelligence. My academic journey began with a major in Computer Engineering, but my deepening interest in AI led me to switch my focus to Artificial Intelligence here at UNT. I hold a Bachelor's degree in Computer Engineering from Aligarh Muslim University, India. Throughout my undergraduate studies, I actively engaged in software development projects using Python for both minor and major projects. Proficient in C/C++, Java, and Python, I expanded my skills across various programming languages. During a 4-month internship at a startup company, I delved into web development, enhancing my expertise in HTML, CSS, JavaScript, and working with technologies like jQuery, Bootstrap 5, AJAX, and JSON. I also gained practical experience in integrating APIs into web pages.

After my graduation, I joined Jio Platforms Limited in Hyderabad, India, working in the Cloud Engineering team. Over the course of a year, I managed and maintained Azure cloud infrastructure, played a key role in automating deployment using Terraform, and earned the AZ-900 certificate. I was actively pursuing AZ-104 before transitioning to UNT. My employment exposed me to technologies such as Big Data, Hadoop, and CI/CD. I contributed to creating an API for real-time Kafka data retrieval, successfully integrated into Grafana and later implemented in a production environment.

I have a passion for exploring new technologies and aspire to utilize my skills and experience in research at The Responsible AI Lab. My goal is to continuously expand my knowledge and contribute to the advancements in the field of Artificial Intelligence. I love listening to music and watching movies in my leisure time.


Abinesh
Abinesh Haridoss
Graduate Research Assistant
Abineshharidoss (at) my.unt.edu
LinkedIn
GitHub

I'm Abinesh Haridoss, currently pursuing my master's degree in computer science, and I have also completed my bachelor's in information technology. Throughout my journey, I have achieved remarkable milestones, from internships and participation in the Smart India hackathon to contributing to NGOs and creating a pandemic-responsive application for the underprivileged. My pivotal moment came with hosting a webinar at Oracle that transformed my trajectory. I have also published a journal article about security surveillance cameras predicting human face detection. Following my graduation, I spent a year and a half as a software developer at Larsen & Toubro Infotech. I also worked at TransUnion, where I gained international exposure to transactional processes.

The Responsible AI Research Lab is an invaluable opportunity for honing my skills within the dynamic IT industry. The lab's cutting-edge projects and expert mentorship are set to propel my knowledge and capabilities to new heights, ensuring a prosperous future in this ever-evolving technological landscape.
Technical Skills: Python, SQL/Advanced SQL, .Net, C#, Node.js, TypeScript, Jasper, jQuery, Dart

Apart from academics, I like traveling, playing basketball, and swimming.


MINGCHEN_LI_IMG
Mingchen Li
Graduate Research Assistant
li.mingch (at) northeastern.edu
LinkedIn
GitHub
Personal Blog

I am Mingchen Li, currently pursuing my MSc in Information Systems at Northeastern University. I obtained my Bachelor's degree in Computer Science with AI from the University of Nottingham, China campus. 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.


Goutham Singhi
Gowtham Medisetti
Graduate Research Assistant
GowthamMedisetti (at) my.unt.edu
GitHub
LinkedIn
@MedisettiG70670

My name is Gowtham Medisetti, and I am currently pursuing a master's degree in Computer Science at the University of North Texas, located in Denton, Texas. Prior to this, I completed my undergraduate degree in Electronics and Communication from Jawaharlal Nehru Technological University, Kakinada, India. I possess 4.5 years of technical experience working as a Software Engineer at Phenom People, a product-based company located in Hyderabad, India. During my tenure at Phenom People, I gained proficiency in various technologies such as JavaScript, MongoDB, HTML, CSS, and automation tools like Selenium, Cypress, and Protractor. Additionally, I developed a solid foundation in Artificial Intelligence, encompassing machine learning algorithms and natural language processing.

I am proficient in programming languages such as Python and JavaScript. Being a dedicated, detail-oriented, and team-oriented individual, I am passionate about learning and implementing advanced technologies, particularly in the areas of Artificial Intelligence and Machine Learning. When I am not coding, I enjoy playing games and watching movies. I firmly believe that my skills and knowledge will enable me to make a significant contribution to the research projects at The Responsible AI Lab.


Rafid
Rafid Ishrak Jahan
Graduate Research Assistant
RafidIshrakJahan (at) my.unt.edu
LinkedIn

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.


Sumera
Sumera Anjum
Graduate Research Assistant
Sumera Anjum (at) my.unt.edu
LinkedIn

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.


Arbaz
Abdul Kareem Arbaz
Graduate Research Assistant
abdul.ams521 (at) gmail.com
LinkedIn
Github

My name is Abdul Kareem Arbaz, and I am currently pursuing a master's at the University of North Texas in computer science. I completed my bachelor’s from Vasavi College of Engineering, Hyderabad, Telangana, and later worked at Ernst and Young as a senior analyst for 2 years. My journey into the world of deep learning and AI began with a curiosity to understand how machines can replicate human-like cognitive abilities. As I delved deeper, I became captivated by the potential of AI to transform industries, solve complex problems, and unlock new possibilities. While it is very exciting to see the possibilities of AI, I have a strong passion for the creation and application of responsible artificial intelligence (AI). It is essential to make sure that AI technologies are created and applied in an ethical, open, and human-centered manner as they progress and become more advanced.

I work towards expanding my knowledge in as many fields as possible and love to solve coding challenges on Leetcode, mainly in Java and Python, while also having knowledge of C, C++, R, and Js. I have also worked on various frameworks like react, nodejs, express, etc. during my time in industry.

I am a fan of old pop music, a LoL player, love socializing with people, and live by the motto "work hard, play hard".


Hanzhi
Hanzhi Zhang
Pd.D. Research Assistant
hanzhizhang (at) my.unt.edu
LinkedIn
GitHub

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.


Zexuan
Zexuan ‘Shawn’ Meng
Ph.D. Research Assistant
ZexuanMeng (at) my.unt.edu
LinkedIn
GitHub

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.


Kai
Kai Zhuang
Undergraduate Research Assistant
kai.zhuang (at) mail.utoronto.ca
LinkedIn
GitHub
Personal Website

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!


Kai
Kaicheng Li
Undergraduate Research Assistant
li.11277 (at) osu.edu
LinkedIn
@Kaicheng_L

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.


Swagatika
Swagatika Dash
Research Assistant
swagidash21 (at) gmail.com
LinkedIn
My CV

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.


Muneer
Muneer Ahmed
Research Assistant
muneerahmed (at) umass.edu
LinkedIn
@a19130009

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.


Yingjie Liu
Yingjie Liu
Graduate Research Assistant
yl10808 (at) nyu.edu
LinkedIn
@YingjieLiu35583

I am Yingjie Liu, a graduate student at New York University studying Biostatistics. I obtained my Bachelor's degree in Statistics from Minzu University of China. My academic journey extended as an exchange student at the University of Birmingham, where I immersed myself in Mathematics. During my undergraduate years, I actively participated in several mathematical modeling competitions, which revealed the captivating allure of employing mathematical and computer knowledge to tackle real-world challenges. During my internships at companies like Zhihu and GfK, I delved into data analysis tasks and experienced the enchanting process of using code to solve problems.

I'm profoundly interested in the applications of machine learning and deep learning in the fields of sociology and biostatistics. I have experience in Java, Python, and R. Outside of academia, I love reading novels and traveling with friends. The chance to be a part of the Responsible AI Lab brings me great excitement. I hope to further develop my AI knowledge and skills within the lab.


Brian
Brian Li
Research Assistant
brianli847 (at) gmail.com

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.


Panav
Panav Mhatre
Research Assistant
mhatrepanav (at) gmail.com
LinkedIn
@PanavMhatre
GitHub

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.


Past Lab Members


Vrushabh Desai
Master's student, Research Assistant, 2022 Fall - 2023 Spring, Co-authored One Paper.
Navyasri Meka
Master's student, Research Assistant, 2023 Spring, TGS R.B. Toulouse Scholarship Winner.
Manasa Cherukupally
Master's student, Research Assistant, 2023 Spring, TGS R.B. Toulouse Scholarship Winner, Co-authored One Paper.
Sreecharan Vanam
Master's student, Research Assistant, 2022 Fall - 2023 Spring, Co-authored One Paper.