Graduate Computer Science and Engineering Making the World Smarter, Safer and Healthier Request More Info Attend an Info Session Contact Us Artificial Intelligence Biotechnology Computer Science Cybersecurity Data Analytics and Visualization Digital Marketing and Media Mathematics Occupational Therapy Physician Assistant Physics Speech-Language Pathology 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+ app 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 ProgramsM.S. in Artificial IntelligenceM.S. in Computer ScienceM.S. in Computer Science - AgileM.S. in CybersecurityM.S. in Data Analytics and VisualizationPh.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+ app 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 ProgramsM.S. in Artificial IntelligenceM.S. in Computer ScienceM.S. in Computer Science - AgileM.S. in CybersecurityM.S. in Data Analytics and VisualizationPh.D. in Mathematical Sciences - AI Track Department Links Graduate Programs Research Labs Lead Faculty Department News Contact Us Programs Graduate Admissionskatzgrad@yu.edu646-592-4753General Inquirieskatz@yu.eduJoin our Community M.S. in Artificial IntelligenceM.S. in Computer ScienceM.S. in Computer Science - AgileM.S. in CybersecurityM.S. in Data Analytics and VisualizationPh.D. in Mathematical Sciences - AI Track Contact Us Graduate Admissionskatzgrad@yu.edu646-592-4753General Inquirieskatz@yu.eduJoin our Community Programs M.S. in Artificial IntelligenceM.S. in Computer ScienceM.S. in Computer Science - AgileM.S. in CybersecurityM.S. in Data Analytics and VisualizationPh.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 MathematicsLEARN MORE Security Operations Center (SOC) The first of its kind in New app 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 Lead FacultyHonggang Wang, Department ChairYoushan Zhang, Director, M.S. in Artificial IntelligenceSivan Tehila, Director, M.S. in CybersecurityDavid Li, Director, M.S. in Data Analytics and VisualizationMing Ma, Assistant ProfessorYucheng Xie, Assistant ProfessorMarian Gidea, Professor and Director, Graduate Programs in MathematicsPaul Russo, Professor of Data ScienceAndrew Catlin, Internship and Capstone LiaisonJames Kang Li, Affiliated Research Faculty, Rutgers UniversityVIEW ALL CSE FACULTY Department News App Uses AI to Analyze Mammograms for Early Detection of Breast Cancer Read more App Uses AI to Analyze Mammograms for Early Detection of Breast Cancer Katz School researchers have designed a mobile app using AI technology that analyzes mammogram images and provides real-time diagnostic predictions, all from the convenience of a smartphone. They will present their project findings, outlined in the white paper, “Pink Guardian: A Gateway to Early Breast Cancer Detection,” at the 16th International Conference on Human System Interaction in Paris in July.Read the full story. Researchers Use Advanced Mathematical Technique to Combat Obesity Read more Researchers Use Advanced Mathematical Technique to Combat Obesity Katz School and UMass Dartmouth researchers have introduced a novel approach to better understand the variables associated with weight loss by utilizing an advanced mathematical technique. Their findings, outlined in the white paper, “A Choquet-Integral Based Approach to Identify Weight Loss Component Subsets,” were presented in June at the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).Read the full story. Researchers Develop Algorithms Tracking Body Poses to Assist in Stroke Recovery Read more Researchers Develop Algorithms Tracking Body Poses to Assist in Stroke Recovery Researchers have developed a series of algorithms using Siamese networks, a type of artificial intelligence, to better identify and track the body movements of stroke patients in order to assist in patient treatment and recovery. Their findings, outlined in the white paper, “Accurate Body Pose Matching for Individuals with Stroke Using Siamese Networks,” were presented in June at the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).Read the full story. Researchers Develop Powerful AI Method to Filter Out Noise from Bird Song Read more Researchers Develop Powerful AI Method to Filter Out Noise from Bird Song Researchers have developed a method using a powerful technology to remove unwanted noise from the audio recordings of bird sounds. The method, called ViTVS, uses an image processing technology to divide audio signals into distinct parts, or segments, for isolating clean bird sounds from a noisy background. The approach, explained in the paper, “Vision Transformer Segmentation for Visual Bird Sound Denoising,” has been accepted for presentation at a conference on the science and technology of spoken language processing—InterSpeech 2024—by researchers from the Katz School’s Department of Computer Science and Engineering and Cornell University’s School of Public Policy.Read the full story. Student Team's Proposal to Reform MTA a Finalist in Business Case Competition Read more Student Team's Proposal to Reform MTA a Finalist in Business Case Competition A Katz School student team's proposal to reform the New app City subway system is a finalist in a business case competition sponsored by the Zicklin School of Business at Baruch College. Their proposal, “A Data-Driven Approach to Urban Mobility,” leverages advancements in artificial intelligence, data analytics and Internet of Things (IoT) technologies to revitalize the Metropolitan Transit Authority (MTA).Read the full story. Katz School Researcher Receives NIH Grant to Examine Dietary Patterns Using AI Read more 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. Katz School Students Take First Prize in UC Berkeley Generative AI Hackathon Read more Katz School Students Take First Prize in UC Berkeley Generative AI Hackathon Two Katz School AI students took first prize at the 2023 UC Berkeley AI Summit Generative AI Hackathon for solving a complex business problem using the latest in generative AI in under two hours. Niranjan Kumar Kishore and Tharun Prabhakar won in the category of “College Student, Data Scientists or Comp Sci,” with Prabhakar completing his generative AI application just two minutes behind Kishore in the contest. Both were awarded $1,000. Their winning submissions were an end-to-end automated generative AI application implemented in a secure Google Cloud that used large language models to answer a set of questions on the impact, opportunity and challenges of generative AI, what every CEO should know about generative AI, and generative AI in healthcare.Read the full story. Mathematical Model Anticipates Bubbles, Crashes in Bitcoin Industry Read more Mathematical Model Anticipates Bubbles, Crashes in Bitcoin Industry Katz School mathematics researchers have developed a model that anticipates market crashes and financial bubbles in the Bitcoin industry. In the paper, “Why Topological Data Analysis Detects Financial Bubbles?,” Dr. Marian Gidea, associate dean for STEM education and research, and Samuel Akingbade, a Ph.D. student in mathematics, discuss how Topological Data Analysis (TDA), which identifies patterns and features in data not apparent through traditional statistical methods, can be used to detect early-warning signals of financial bubbles.Read the full story. Students Use AI to Forecast Climate Change's Local Impact for S&P Global Read more Students Use AI to Forecast Climate Change's Local Impact for S&P Global With the help of AI, scientists can better model climate patterns, identify trends and make predictions, leading to a clearer understanding of climate change and its environmental impact. Katz School students in Artificial Intelligence and Data Analytics did their part for S&P Global Market Intelligence by sifting through large amounts of data, like satellite images that researchers use to monitor climate change, to create a set of geography-specific, super-resolution climate forecasts that will be valuable for climate research, policy planning and risk assessment.Read the full story. App Uses AI to Analyze Mammograms for Early Detection of Breast Cancer Read more App Uses AI to Analyze Mammograms for Early Detection of Breast Cancer Katz School researchers have designed a mobile app using AI technology that analyzes mammogram images and provides real-time diagnostic predictions, all from the convenience of a smartphone. They will present their project findings, outlined in the white paper, “Pink Guardian: A Gateway to Early Breast Cancer Detection,” at the 16th International Conference on Human System Interaction in Paris in July.Read the full story. Researchers Use Advanced Mathematical Technique to Combat Obesity Read more Researchers Use Advanced Mathematical Technique to Combat Obesity Katz School and UMass Dartmouth researchers have introduced a novel approach to better understand the variables associated with weight loss by utilizing an advanced mathematical technique. Their findings, outlined in the white paper, “A Choquet-Integral Based Approach to Identify Weight Loss Component Subsets,” were presented in June at the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).Read the full story. Researchers Develop Algorithms Tracking Body Poses to Assist in Stroke Recovery Read more Researchers Develop Algorithms Tracking Body Poses to Assist in Stroke Recovery Researchers have developed a series of algorithms using Siamese networks, a type of artificial intelligence, to better identify and track the body movements of stroke patients in order to assist in patient treatment and recovery. Their findings, outlined in the white paper, “Accurate Body Pose Matching for Individuals with Stroke Using Siamese Networks,” were presented in June at the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).Read the full story. Researchers Develop Powerful AI Method to Filter Out Noise from Bird Song Read more Researchers Develop Powerful AI Method to Filter Out Noise from Bird Song Researchers have developed a method using a powerful technology to remove unwanted noise from the audio recordings of bird sounds. The method, called ViTVS, uses an image processing technology to divide audio signals into distinct parts, or segments, for isolating clean bird sounds from a noisy background. The approach, explained in the paper, “Vision Transformer Segmentation for Visual Bird Sound Denoising,” has been accepted for presentation at a conference on the science and technology of spoken language processing—InterSpeech 2024—by researchers from the Katz School’s Department of Computer Science and Engineering and Cornell University’s School of Public Policy.Read the full story. Student Team's Proposal to Reform MTA a Finalist in Business Case Competition Read more Student Team's Proposal to Reform MTA a Finalist in Business Case Competition A Katz School student team's proposal to reform the New app City subway system is a finalist in a business case competition sponsored by the Zicklin School of Business at Baruch College. Their proposal, “A Data-Driven Approach to Urban Mobility,” leverages advancements in artificial intelligence, data analytics and Internet of Things (IoT) technologies to revitalize the Metropolitan Transit Authority (MTA).Read the full story. Katz School Researcher Receives NIH Grant to Examine Dietary Patterns Using AI Read more 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. Katz School Students Take First Prize in UC Berkeley Generative AI Hackathon Read more Katz School Students Take First Prize in UC Berkeley Generative AI Hackathon Two Katz School AI students took first prize at the 2023 UC Berkeley AI Summit Generative AI Hackathon for solving a complex business problem using the latest in generative AI in under two hours. Niranjan Kumar Kishore and Tharun Prabhakar won in the category of “College Student, Data Scientists or Comp Sci,” with Prabhakar completing his generative AI application just two minutes behind Kishore in the contest. Both were awarded $1,000. Their winning submissions were an end-to-end automated generative AI application implemented in a secure Google Cloud that used large language models to answer a set of questions on the impact, opportunity and challenges of generative AI, what every CEO should know about generative AI, and generative AI in healthcare.Read the full story. Mathematical Model Anticipates Bubbles, Crashes in Bitcoin Industry Read more Mathematical Model Anticipates Bubbles, Crashes in Bitcoin Industry Katz School mathematics researchers have developed a model that anticipates market crashes and financial bubbles in the Bitcoin industry. In the paper, “Why Topological Data Analysis Detects Financial Bubbles?,” Dr. Marian Gidea, associate dean for STEM education and research, and Samuel Akingbade, a Ph.D. student in mathematics, discuss how Topological Data Analysis (TDA), which identifies patterns and features in data not apparent through traditional statistical methods, can be used to detect early-warning signals of financial bubbles.Read the full story. Students Use AI to Forecast Climate Change's Local Impact for S&P Global Read more Students Use AI to Forecast Climate Change's Local Impact for S&P Global With the help of AI, scientists can better model climate patterns, identify trends and make predictions, leading to a clearer understanding of climate change and its environmental impact. Katz School students in Artificial Intelligence and Data Analytics did their part for S&P Global Market Intelligence by sifting through large amounts of data, like satellite images that researchers use to monitor climate change, to create a set of geography-specific, super-resolution climate forecasts that will be valuable for climate research, policy planning and risk assessment.Read the full story.
