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Department of Graduate Computer Science and Engineering (CSE)
Welcome to the Department of Graduate Computer Science and Engineering (CSE) at the Katz School! The Katz School’s Department of Graduate Computer Science and Engineering (CSE) focuses on core computer science and engineering areas, while also emphasizing interdisciplinary research, particularly in fields like medical AI. Our 40+ faculty are active in research and industry—with grants from NSF, NIH, DoT, other federal agencies and companies—and are equally committed to mentoring students.
The department boasts state-of-the-art computing facilities, including a high-performance GPU-based server from MIT Cambridge Research, an advanced IoT Lab, and NYC’s first university-based Security Operations Center and takes great pride in collaborating with numerous academic and industry partners to provide real-world projects to students through courses and capstones.
Our alumni land dream jobs in computer/information research, software engineering, data science, computer networking, cybersecurity and computer systems with top companies like S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft.
We're excited about the future of CSE at the Katz School and invite current and prospective students, alumni, and colleagues to connect and engage with us.
Honggang Wang,
Chair and Professor, CSE
Graduate Programs
M.S. in Artificial Intelligence
M.S. in Computer Science
M.S. in Computer Science - Agile
M.S. in Cybersecurity
M.S. in Data Analytics and Visualization
Ph.D. in Computer Science
Ph.D. in Mathematical Sciences - AI Track
Full Program Breakdown
Department of Graduate Computer Science and Engineering (CSE)
Welcome to the Department of Graduate Computer Science and Engineering (CSE) at the Katz School! The Katz School’s Department of Graduate Computer Science and Engineering (CSE) focuses on core computer science and engineering areas, while also emphasizing interdisciplinary research, particularly in fields like medical AI. Our 40+ faculty are active in research and industry—with grants from NSF, NIH, DoT, other federal agencies and companies—and are equally committed to mentoring students.
The department boasts state-of-the-art computing facilities, including a high-performance GPU-based server from MIT Cambridge Research, an advanced IoT Lab, and NYC’s first university-based Security Operations Center and takes great pride in collaborating with numerous academic and industry partners to provide real-world projects to students through courses and capstones.
Our alumni land dream jobs in computer/information research, software engineering, data science, computer networking, cybersecurity and computer systems with top companies like S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft.
We're excited about the future of CSE at the Katz School and invite current and prospective students, alumni, and colleagues to connect and engage with us.
Honggang Wang,
Chair and Professor, CSE
Graduate Programs
M.S. in Artificial Intelligence
M.S. in Computer Science
M.S. in Computer Science - Agile
M.S. in Cybersecurity
M.S. in Data Analytics and Visualization
Ph.D. in Computer Science
Ph.D. in Mathematical Sciences - AI Track
Department Links
Graduate Programs
Research Labs
Lead Faculty
Department News
Programs
Graduate Admissions
katzgrad@yu.edu
646-592-4753
General Inquiries
katz@yu.edu
Join our Community
M.S. in Artificial Intelligence
M.S. in Computer Science
M.S. in Computer Science - Agile
M.S. in Cybersecurity
M.S. in Data Analytics and Visualization
Ph.D. in Mathematical Sciences - AI Track
Graduate Admissions
katzgrad@yu.edu
646-592-4753
General Inquiries
katz@yu.edu
Join our Community
Programs
M.S. in Artificial Intelligence
M.S. in Computer Science
M.S. in Computer Science - Agile
M.S. in Cybersecurity
M.S. in Data Analytics and Visualization
Ph.D. in Mathematical Sciences - AI Track
Research Labs
AIoT Lab
The Artificial Intelligence of Things (AIoT) Lab conducts cutting-edge research in various areas of IoT and AI, including intelligent devices and systems, communication and networking protocols, cybersecurity, data analytics, and AIoT applications.
Faculty Lead:
Honggang Wang, Department Chair
AIAI Lab
The Applications in AI Lab focuses on research in AI, machine learning, computer vision, transfer learning, manifold learning, and shape analysis.
Faculty Lead:
Youshan Zhang, Assistant Professor and Director - M.S. in Artificial Intelligence
Complex Systems Lab
Current research focuses on dynamical systems and applications to celestial mechanics and astrodynamics; topological data analysis; financial bubbles detection; and credit risk.
Faculty Lead:
Marian Gidea, Associate Dean for STEM Research and Director, Graduate Programs in Mathematics
Security Operations Center (SOC)
The first of its kind in New York City, the SOC provides researchers and students with hands-on, real-world experience with next-gen technologies, hyper-realistic and immersive simulations, enterprise-grade networks, and advanced security tools.
Faculty Lead:
Sivan Tehila, Program Director - M.S. in Cybersecurity
IMAGINE Lab
The IMAging, Geometry, Artificial INtelligencE (IMAGINE) lab focuses on advancing the technologies of medical imaging, geometric modeling, and artificial intelligence to solve practical problems and develop innovative methods for applications in healthcare, engineering and other critical fields.
Faculty Lead:
Ming Ma, Assistant Professor of Computer Science
IntelliSense Lab
The IntelliSense Lab focuses on innovative research in cybersecurity, smart healthcare, and mobile sensing. We develop advanced machine learning algorithms and sensing technologies for secure authentication, privacy protection, and intelligent healthcare solutions.
Faculty Lead:
Yucheng Xie, Assistant Professor of Computer Science
Generative AI Lab
A forum for working with GenAI, exploring its capabilities, and examining how people plan, direct, and evaluate AI-generated work.
Faculty Lead:
Aaron Ross, Assistant Dean for Academic Programs
Lead Faculty
Honggang Wang
, Department Chair
Shucheng Yu
, Associate Professor and Associate Chair, Director of M.S. in Data Analytics and Visualization
Hua (Julia) Fang
,  Professor and Director of M.S. in Artificial Intelligence
Iddo Drori,
Associate Professor
Sivan Tehila
, Director, M.S. in Cybersecurity
Ming Ma
, Assistant Professor
Yucheng Xie
, Assistant Professor
Marian Gidea
, Professor and Director, Graduate Programs in Mathematics
Paul Russo
, Dean and Professor of Data Science
Aaron Ross
, Assistant Dean for Academic Programs
Andrew Catlin
, Internship and Capstone Liaison
James Kang Li
, Affiliate Research Faculty
Jochen Raimann
, Affiliate Faculty
Yuri Katz
, Affiliate Faculty
David Sweet
, Affiliate Faculty
VIEW ALL CSE FACULTY
Department News
Avatars Reveal Health Impact of Food Choices
Read about the study
Avatars Reveal Health Impact of Food Choices
A study presented by researchers at the 40th Annual AAAI Conference on Artificial Intelligence in Singapore introduces a prototype “digital twin” system designed to show how a person’s diet can shape their health years into the future. A digital twin is a virtual copy of a real person or object.
Read the story in the blog
Voice-Cloning Reinvents How Computers Speak
Read about the AI system
Voice-Cloning Reinvents How Computers Speak
When people hear a computer-generated voice that sounds natural, expressive and even emotional, it can feel almost magical. Behind that voice, however, is a complex system that turns written text into spoken word. Katz School researchers created a faster, more reliable and easier to use system that they will present at ICLR 2026, one of the top international conferences in artificial intelligence.
Read the story in the Katz School blog
AI Tool Detects Cancer Earlier in Medical Images
Read about the study
AI Tool Detects Cancer Earlier in Medical Images
A study accepted for publication in IEEE Transactions on Multimedia by researchers in the Department of Computer Science and Engineering introduces an AI method called Diff-MedSeg that shows great promise is medical imaging, especially helping doctors find cancer earlier and plan more precise treatment.
Read the story in the Katz College blog
AI Used to Assess How Families Play Together
Read about the study
AI Used to Assess How Families Play Together
A research paper to be published in Smart Health in March explores a new way to understand how parent support their child's growth, bringing together experts in occupational therapy, artificial intelligence and mathematics to ask a simple but powerful question: can computers help professionals better understand how parents and children play together?
Read the story in the Katz School blog
Student Research in Technology Showcase
Read about the research
Student Research in Technology Showcase
Students in the Katz School’s Department of Graduate Computer Science and Engineering recently gathered to share projects they had spent months building, testing, improving and sometimes completely rethinking.
Read the story in the Katz School blog
Digital Vaccines Immunize AI Systems
Read about the research
Digital Vaccines Immunize AI Systems
A team of computer scientists, including Dr. Yucheng Xie, an assistant professor in the
Katz School’s Department of Graduate Computer Science and Engineering
, developed a way to fight back against backdoor attacks, which are among the stealthiest threats in modern AI. Their paper, “Vigilante Defender: A Vaccination-based Defense Against Backdoor Attacks on 3D Point Clouds Using Particle Swarm Optimization,” has been accepted to the prestigious IEEE 34th International Conference on Computer Communications and Networks (ICCCN).
Read the story in the Katz School blog
Algorithm Spots Trouble Before It Strikes
Read about David Li's model
Algorithm Spots Trouble Before It Strikes
Dr. David Li, director of the Katz School’s
M.S. in Data Analytics and Visualization
, helped design an algorithm, called IDOS (Interpolated Density for Outlier Score), for real-world environments where every bit of power and memory matters, like wearable health monitors, embedded sensors and other IoT devices. It's fast, efficient and doesn’t require much computing power.
Read the story on the Katz School blog
Honggang Wang Named Editor of IEEE Journal
Read about the appointment
Honggang Wang Named Editor of IEEE Journal
Dr. Honggang Wang, chair of the Katz School’s
Department of Graduate Computer Science and Engineering
, has been elected editor-in-chief of IEEE Signal Processing Society’s IEEE Transactions on Multimedia, one of the most influential journals in the field of multimedia research. His three-year term will run from January 2026 through December 2028.
Read the story in the Katz School blog
Using Language Models to Simulate Human Motion
Read about the research
Using Language Models to Simulate Human Motion
Chengyi Liu, a student in the artificial intelligence program, is helping teach machines to recognize human activities in a way that’s smarter, safer—and more private. At the Katz School’s Graduate Symposium on Science, Technology and Health, Liu presented his research on improving human activity recognition using millimeter wave (mmWave) radar and large language models, the AI engines behind tools like ChatGPT.
Read the story in the Katz School blog
AI Tool Processes Animal Medical Records Faster
Read about the AI model
AI Tool Processes Animal Medical Records Faster
At the recent 2025 IEEE/ACM CHASE Conference, Lakshmi Priya Ramisetty, a 2024 graduate of the M.S. in Artificial Intelligence, introduced a new kind of artificial intelligence—one not built for tech giants or billion-parameter showdowns, but for veterinarians. Her presentation revealed a powerful, domain-specific AI model designed to process the long and complex medical texts common in animal healthcare.
Read the story in the Katz School blog
Team Wins IEEE Award for AI Smart Ring Health Tech
Read about the framework
Team Wins IEEE Award for AI Smart Ring Health Tech
What if a tiny ring on your finger could tell when you’re stressed, predict your heart health and alert you to dangerous changes in your body—all in real time? That’s the bold promise behind new research presented by a Katz School team that unveiled a “digital twin” healthcare framework powered by smart rings in London at the 2025 IEEE INFOCOM Conference, a top-ranked conference on networking in the research community.
Read the story in the Katz School blog
Smart Watch Knows What You're Eating and When
Read about the DietWatch
Smart Watch Knows What You're Eating and When
Dr. Yucheng Xie, an assistant professor in the Department of Graduate Computer Science and Engineering, and a team of computer scientists and engineers developed the DietWatch, a groundbreaking dietary monitoring system for people to track their eating habits in using just a regular smartwatch.
Read the story in the Katz School blog
Katz Leading Conversation on AI, Connected Health
Read about the conference
Katz Leading Conversation on AI, Connected Health
Katz School faculty and students will join other academic, industry and governmental leaders from around the globe to present transformative ideas at the crossroads of health and technology at the IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE) from June 24 to 26 at Yeshiva University Museum.
Read the story in the Katz School blog
An AI App for Early Lung Cancer Detection
Read more about Nukhil Deekonda's idea
An AI App for Early Lung Cancer Detection
At the Katz School of Science and Health’s Graduate Symposium on Science, Technology and Health, Nikhil Deekonda, a student in the M.S. in Artificial Intelligence, unveiled the idea behind an AI-powered mobile app, called LungAware, designed to detect and classify lung cancer from CT scans.
Read the story in the Katz School blog
Deep Learning Model Adapts Without Retraining
Read more about Ruixin Chen's research
Deep Learning Model Adapts Without Retraining
A team of Katz School researchers has solved one of the biggest headaches in modern machine learning—how to make AI models that can adapt to new information without needing to start over from scratch—by developing a deep learning system that updates itself using new information about the world without retraining, and does so in a way that’s easier to understand.
Read the story in the Katz School blog
Human-Centered Vision at Graduate Research Forum
Read more about the student research
Human-Centered Vision at Graduate Research Forum
At the Spring 2025 Graduate Computer Science and Engineering Research forum, the future of technology wasn’t merely on display—it was actively being built. In their research presentations, Katz School students showcased the kind of ingenuity, technical depth and ethical awareness that are not only rare in graduate education but transformative in the real world.
Read the story in the Katz School blog
AI Tool Improves Colon Cancer Detection
Read more about the study
AI Tool Improves Colon Cancer Detection
A team of researchers has developed PolypSEAG-Net—a novel deep learning model that enhances polyp segmentation in colonoscopy images. Their work, recently presented at the ACM/IEEE International Conference on Connected Health, will contribute to the advancement of medical image analysis and colorectal cancer detection.
Read the story in the Katz School blog
AI Model Understands Overlooked Languages
Read about the study
AI Model Understands Overlooked Languages
A team of researchers led by Dr. David Li, director of the M.S. in Data Analytics and Visualization e
M.S. in Data Analytics and Visualization
developed a framework that significantly improves how AI understands “low-resource languages”—languages that lack the massive training datasets available for English, Spanish or Mandarin.
Read the story in the Katz School blog
AI-Powered System Enhances Digital Learning
Read more about the system
AI-Powered System Enhances Digital Learning
At the 2025 IEEE Integrated STEM Education Conference at Princeton University in March, Katz School researchers presented a study, “Automatic Teaching Platform on Vision Language Retrieval Augmented Generation (VL-RAG),” which introduces an AI-powered teaching system that integrates visual learning with dynamic, interactive content to enhance student comprehension and engagement.
Read the story in the Katz School blog
Study Optimizes Feature Selection for ML Models
Read more about the study
Study Optimizes Feature Selection for ML Models
In a recent study, “Mutual Information Reduction Techniques and its Applications in Feature Engineering,” researchers in the Graduate Department of Computer Science and Engineering explore which mutual information "features" matter most in machine learning models.
Read the entire story in the Katz School blog
AI Tools Probe Habits of High-Value Customers
Read about the study by AI & Data Analytics researchers
AI Tools Probe Habits of High-Value Customers
Researchers in the Katz School’s Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making in dynamic, uncertain environments—to probe consumer habits.
Read the story in the Katz School blog
AI Breakthrough Ensures Flawless Video Streaming
Read more about the study by DAV student Hang Yu
AI Breakthrough Ensures Flawless Video Streaming
Imagine a future where streaming videos, video calls or surveillance footage look flawless, no matter the network conditions or quality variations. That’s the goal of a recent Katz School study, which will be presented at the 2025 IEEE Conference in January.
Read the story in the Katz School blog
Improved Method for How Computers Optimize Tasks
Read more about Dr. David Sweet's study
Improved Method for How Computers Optimize Tasks
Dr. David Sweet, an industry professor in the Katz School’s
Graduate Department of Computer Science and Engineering
, has developed a method for improving how computers optimize complex tasks.
Read the story in the Katz School blog
Innovation on Display in Computer Science Forum
Read about student research on AI, Cyber & Data Analytics
Innovation on Display in Computer Science Forum
The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.
Read the story in the Katz School blog
Using Probability to Design Engaging Video Games
Read more about the study
Using Probability to Design Engaging Video Games
Designing a great video game is a balancing act, especially in strategy games where the thrill often comes from tackling the unexpected. Whether it’s an enemy ambush or a rare loot drop, the element of surprise keeps players on their toes. But too much randomness can feel unfair, while too little can make a game predictable and boring. Enter the world of probability-driven game design, a method that introduces structured uncertainty into gameplay. A new framework introduced by Katz Schoo researchers uses mathematical tools to strike this balance, creating levels that are not only engaging but varied and challenging.
Read the story in the Katz School blog
Millimeter Wave System Tracks People's Concentration Levels
Read more about the system
Millimeter Wave System Tracks People's Concentration Levels
With concentration becoming increasingly difficult to sustain in today’s fast-paced, distraction-filled environments, accurately monitoring people's focus is critical for boosting productivity, improving educational outcomes and supporting cognitive health.
Read the entire story in the Katz School blog
Data-Driven Approach to Olympic Rankings
Read more about Dr. David Li's novel proposal
Data-Driven Approach to Olympic Rankings
Dr. David Li, program director of the M.S. in Data Analytics and Visualization in the Graduate Department of Computer Science and Engineering, have proposed a novel data-driven framework grounded in probability theory and statistical analysis to change how Olympic performance is measured.
Read the story in the Katz School blog
Palm Recognition Study Wins IEEE Award
Read more about Yucheng Xie's paper
Palm Recognition Study Wins IEEE Award
A team of researchers that includes Dr. Yucheng Xie, assistant professor in the Katz School’s Graduate Computer Science and Engineering, has developed a new technology called “mmPalm,” which uses millimeter wave signals to create an ubiquitous, low-effort authentication method through palm recognition.
Read the story in the Katz School blog
Katz School Researcher Receives NIH Grant to Examine Dietary Patterns Using AI
Katz School Researcher Receives NIH Grant to Examine Dietary Patterns Using AI
Dr. Honggang Wang, chair of the Katz School’s Department of Computer Science and Engineering, has received a $600,000 grant from the National Institutes of Health to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data. The Innovative Pattern Analysis Tool, called iPAT, would employ a new machine-learning algorithm to facilitate comparisons between individual and population-level dietary patterns, and would generate evidence for dietary guidelines.
Read the full story.
Avatars Reveal Health Impact of Food Choices
Read about the study
Avatars Reveal Health Impact of Food Choices
A study presented by researchers at the 40th Annual AAAI Conference on Artificial Intelligence in Singapore introduces a prototype “digital twin” system designed to show how a person’s diet can shape their health years into the future. A digital twin is a virtual copy of a real person or object.
Read the story in the blog
Voice-Cloning Reinvents How Computers Speak
Read about the AI system
Voice-Cloning Reinvents How Computers Speak
When people hear a computer-generated voice that sounds natural, expressive and even emotional, it can feel almost magical. Behind that voice, however, is a complex system that turns written text into spoken word. Katz School researchers created a faster, more reliable and easier to use system that they will present at ICLR 2026, one of the top international conferences in artificial intelligence.
Read the story in the Katz School blog
AI Tool Detects Cancer Earlier in Medical Images
Read about the study
AI Tool Detects Cancer Earlier in Medical Images
A study accepted for publication in IEEE Transactions on Multimedia by researchers in the Department of Computer Science and Engineering introduces an AI method called Diff-MedSeg that shows great promise is medical imaging, especially helping doctors find cancer earlier and plan more precise treatment.
Read the story in the Katz College blog
AI Used to Assess How Families Play Together
Read about the study
AI Used to Assess How Families Play Together
A research paper to be published in Smart Health in March explores a new way to understand how parent support their child's growth, bringing together experts in occupational therapy, artificial intelligence and mathematics to ask a simple but powerful question: can computers help professionals better understand how parents and children play together?
Read the story in the Katz School blog
Student Research in Technology Showcase
Read about the research
Student Research in Technology Showcase
Students in the Katz School’s Department of Graduate Computer Science and Engineering recently gathered to share projects they had spent months building, testing, improving and sometimes completely rethinking.
Read the story in the Katz School blog
Digital Vaccines Immunize AI Systems
Read about the research
Digital Vaccines Immunize AI Systems
A team of computer scientists, including Dr. Yucheng Xie, an assistant professor in the
Katz School’s Department of Graduate Computer Science and Engineering
, developed a way to fight back against backdoor attacks, which are among the stealthiest threats in modern AI. Their paper, “Vigilante Defender: A Vaccination-based Defense Against Backdoor Attacks on 3D Point Clouds Using Particle Swarm Optimization,” has been accepted to the prestigious IEEE 34th International Conference on Computer Communications and Networks (ICCCN).
Read the story in the Katz School blog
Algorithm Spots Trouble Before It Strikes
Read about David Li's model
Algorithm Spots Trouble Before It Strikes
Dr. David Li, director of the Katz School’s
M.S. in Data Analytics and Visualization
, helped design an algorithm, called IDOS (Interpolated Density for Outlier Score), for real-world environments where every bit of power and memory matters, like wearable health monitors, embedded sensors and other IoT devices. It's fast, efficient and doesn’t require much computing power.
Read the story on the Katz School blog
Honggang Wang Named Editor of IEEE Journal
Read about the appointment
Honggang Wang Named Editor of IEEE Journal
Dr. Honggang Wang, chair of the Katz School’s
Department of Graduate Computer Science and Engineering
, has been elected editor-in-chief of IEEE Signal Processing Society’s IEEE Transactions on Multimedia, one of the most influential journals in the field of multimedia research. His three-year term will run from January 2026 through December 2028.
Read the story in the Katz School blog
Using Language Models to Simulate Human Motion
Read about the research
Using Language Models to Simulate Human Motion
Chengyi Liu, a student in the artificial intelligence program, is helping teach machines to recognize human activities in a way that’s smarter, safer—and more private. At the Katz School’s Graduate Symposium on Science, Technology and Health, Liu presented his research on improving human activity recognition using millimeter wave (mmWave) radar and large language models, the AI engines behind tools like ChatGPT.
Read the story in the Katz School blog
AI Tool Processes Animal Medical Records Faster
Read about the AI model
AI Tool Processes Animal Medical Records Faster
At the recent 2025 IEEE/ACM CHASE Conference, Lakshmi Priya Ramisetty, a 2024 graduate of the M.S. in Artificial Intelligence, introduced a new kind of artificial intelligence—one not built for tech giants or billion-parameter showdowns, but for veterinarians. Her presentation revealed a powerful, domain-specific AI model designed to process the long and complex medical texts common in animal healthcare.
Read the story in the Katz School blog
Team Wins IEEE Award for AI Smart Ring Health Tech
Read about the framework
Team Wins IEEE Award for AI Smart Ring Health Tech
What if a tiny ring on your finger could tell when you’re stressed, predict your heart health and alert you to dangerous changes in your body—all in real time? That’s the bold promise behind new research presented by a Katz School team that unveiled a “digital twin” healthcare framework powered by smart rings in London at the 2025 IEEE INFOCOM Conference, a top-ranked conference on networking in the research community.
Read the story in the Katz School blog
Smart Watch Knows What You're Eating and When
Read about the DietWatch
Smart Watch Knows What You're Eating and When
Dr. Yucheng Xie, an assistant professor in the Department of Graduate Computer Science and Engineering, and a team of computer scientists and engineers developed the DietWatch, a groundbreaking dietary monitoring system for people to track their eating habits in using just a regular smartwatch.
Read the story in the Katz School blog
Katz Leading Conversation on AI, Connected Health
Read about the conference
Katz Leading Conversation on AI, Connected Health
Katz School faculty and students will join other academic, industry and governmental leaders from around the globe to present transformative ideas at the crossroads of health and technology at the IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE) from June 24 to 26 at Yeshiva University Museum.
Read the story in the Katz School blog
An AI App for Early Lung Cancer Detection
Read more about Nukhil Deekonda's idea
An AI App for Early Lung Cancer Detection
At the Katz School of Science and Health’s Graduate Symposium on Science, Technology and Health, Nikhil Deekonda, a student in the M.S. in Artificial Intelligence, unveiled the idea behind an AI-powered mobile app, called LungAware, designed to detect and classify lung cancer from CT scans.
Read the story in the Katz School blog
Deep Learning Model Adapts Without Retraining
Read more about Ruixin Chen's research
Deep Learning Model Adapts Without Retraining
A team of Katz School researchers has solved one of the biggest headaches in modern machine learning—how to make AI models that can adapt to new information without needing to start over from scratch—by developing a deep learning system that updates itself using new information about the world without retraining, and does so in a way that’s easier to understand.
Read the story in the Katz School blog
Human-Centered Vision at Graduate Research Forum
Read more about the student research
Human-Centered Vision at Graduate Research Forum
At the Spring 2025 Graduate Computer Science and Engineering Research forum, the future of technology wasn’t merely on display—it was actively being built. In their research presentations, Katz School students showcased the kind of ingenuity, technical depth and ethical awareness that are not only rare in graduate education but transformative in the real world.
Read the story in the Katz School blog
AI Tool Improves Colon Cancer Detection
Read more about the study
AI Tool Improves Colon Cancer Detection
A team of researchers has developed PolypSEAG-Net—a novel deep learning model that enhances polyp segmentation in colonoscopy images. Their work, recently presented at the ACM/IEEE International Conference on Connected Health, will contribute to the advancement of medical image analysis and colorectal cancer detection.
Read the story in the Katz School blog
AI Model Understands Overlooked Languages
Read about the study
AI Model Understands Overlooked Languages
A team of researchers led by Dr. David Li, director of the M.S. in Data Analytics and Visualization e
M.S. in Data Analytics and Visualization
developed a framework that significantly improves how AI understands “low-resource languages”—languages that lack the massive training datasets available for English, Spanish or Mandarin.
Read the story in the Katz School blog
AI-Powered System Enhances Digital Learning
Read more about the system
AI-Powered System Enhances Digital Learning
At the 2025 IEEE Integrated STEM Education Conference at Princeton University in March, Katz School researchers presented a study, “Automatic Teaching Platform on Vision Language Retrieval Augmented Generation (VL-RAG),” which introduces an AI-powered teaching system that integrates visual learning with dynamic, interactive content to enhance student comprehension and engagement.
Read the story in the Katz School blog
Study Optimizes Feature Selection for ML Models
Read more about the study
Study Optimizes Feature Selection for ML Models
In a recent study, “Mutual Information Reduction Techniques and its Applications in Feature Engineering,” researchers in the Graduate Department of Computer Science and Engineering explore which mutual information "features" matter most in machine learning models.
Read the entire story in the Katz School blog
AI Tools Probe Habits of High-Value Customers
Read about the study by AI & Data Analytics researchers
AI Tools Probe Habits of High-Value Customers
Researchers in the Katz School’s Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making in dynamic, uncertain environments—to probe consumer habits.
Read the story in the Katz School blog
AI Breakthrough Ensures Flawless Video Streaming
Read more about the study by DAV student Hang Yu
AI Breakthrough Ensures Flawless Video Streaming
Imagine a future where streaming videos, video calls or surveillance footage look flawless, no matter the network conditions or quality variations. That’s the goal of a recent Katz School study, which will be presented at the 2025 IEEE Conference in January.
Read the story in the Katz School blog
Improved Method for How Computers Optimize Tasks
Read more about Dr. David Sweet's study
Improved Method for How Computers Optimize Tasks
Dr. David Sweet, an industry professor in the Katz School’s
Graduate Department of Computer Science and Engineering
, has developed a method for improving how computers optimize complex tasks.
Read the story in the Katz School blog
Innovation on Display in Computer Science Forum
Read about student research on AI, Cyber & Data Analytics
Innovation on Display in Computer Science Forum
The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.
Read the story in the Katz School blog
Using Probability to Design Engaging Video Games
Read more about the study
Using Probability to Design Engaging Video Games
Designing a great video game is a balancing act, especially in strategy games where the thrill often comes from tackling the unexpected. Whether it’s an enemy ambush or a rare loot drop, the element of surprise keeps players on their toes. But too much randomness can feel unfair, while too little can make a game predictable and boring. Enter the world of probability-driven game design, a method that introduces structured uncertainty into gameplay. A new framework introduced by Katz Schoo researchers uses mathematical tools to strike this balance, creating levels that are not only engaging but varied and challenging.
Read the story in the Katz School blog
Millimeter Wave System Tracks People's Concentration Levels
Read more about the system
Millimeter Wave System Tracks People's Concentration Levels
With concentration becoming increasingly difficult to sustain in today’s fast-paced, distraction-filled environments, accurately monitoring people's focus is critical for boosting productivity, improving educational outcomes and supporting cognitive health.
Read the entire story in the Katz School blog
Data-Driven Approach to Olympic Rankings
Read more about Dr. David Li's novel proposal
Data-Driven Approach to Olympic Rankings
Dr. David Li, program director of the M.S. in Data Analytics and Visualization in the Graduate Department of Computer Science and Engineering, have proposed a novel data-driven framework grounded in probability theory and statistical analysis to change how Olympic performance is measured.
Read the story in the Katz School blog
Palm Recognition Study Wins IEEE Award
Read more about Yucheng Xie's paper
Palm Recognition Study Wins IEEE Award
A team of researchers that includes Dr. Yucheng Xie, assistant professor in the Katz School’s Graduate Computer Science and Engineering, has developed a new technology called “mmPalm,” which uses millimeter wave signals to create an ubiquitous, low-effort authentication method through palm recognition.
Read the story in the Katz School blog
Katz School Researcher Receives NIH Grant to Examine Dietary Patterns Using AI
Katz School Researcher Receives NIH Grant to Examine Dietary Patterns Using AI
Dr. Honggang Wang, chair of the Katz School’s Department of Computer Science and Engineering, has received a $600,000 grant from the National Institutes of Health to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data. The Innovative Pattern Analysis Tool, called iPAT, would employ a new machine-learning algorithm to facilitate comparisons between individual and population-level dietary patterns, and would generate evidence for dietary guidelines.
Read the full story.
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