Data Science and Artificial Intelligence Research

Cleveland State University (CSU) offers a proven record of expertise in data science and artificial intelligence in partnership with CSU T.E.C.H. Hub, Center for Cybersecurity and Privacy Protection, and Center for Applied Data Analysis and Modeling. CSU researchers partner and collaborate with government and private industry to develop and deliver innovative engineering solutions in statistical methods for big data, secure machine learning systems, deep neural networks, machine learning and artificial intelligence (MLAI)-based communication solutions, and image and video data analysis.

RESEARCH CAPABILITIES

We create, design and develop innovative data science and AI methods and systems:

• Biomedical data in a graphical form to analyze heart failure patient data using unsupervised machine learning
• Ranking disease genes for medical discovery, drug development, and process control
• Secure machine learning systems for multimodal data analysis in cybersecurity, healthcare, and disaster resilience applications
• Integration of classic communications with MLAI solutions for underwater communications and joint sensing and communications
• Data-driven wireless networking for low SNR communication and On-the-Fly Training for adapting to different environment
• Compressed deep neural networks to achieve faster inference speed
• AI-based satellite image analysis for remote sensing
• Video data analysis and machine learning for material science

CURRENT PATRNERS AND SUPPORTERS

• Partners:
  • CSU T.E.C.H. Hub
  • Center for Cybersecurity and Privacy Protection
  • Center for Applied Data Analysis and Modeling
• CSU Faculty: Drs. Zicheng Chi (ECE), Sunnie Chung (ECE), Yongjian Fu (ECE), Sathish Kumar (ECE), Qin Lin (ECE), Mehdi Rahmati (ECE), Hongkai Yu (ECE), Tianyun Zhang (ECE), Richard Fan (MATH), Shawn Ryan (MATH), Yuping Wu (MATH)
• CSU Research Laboratories:
  • Big Data Analytics, AI, and Cyber Security Lab
  • Chi Lab
  • Cleveland Vision & AI Lab
  • Intelligent Communications and Autonomous Systems Lab
  • Intelligent Secure Cyber-Systems and Applications Research Lab
  • Lin Lab
  • Ryan Lab
• Sponsors & Supporters: US National Science Foundation (NSF), NASA Glenn Research Center, National Academy of Sciences, Air Force Research Lab, Ohio Department of Higher Education, Cleveland Clinic, and GE Lighting.

NEWS AND AWARDS

• US National Science Foundation supports several projects
  • Transdisciplinary Cybersecurity Education for Law and Engineering Students (Yu, Kumar)
  • Algorithm design on weight pruning and weight quantization to compress the model size of deep neural networks (TZhang)
  • Algorithm-hardware co-design on improving the implementation efficiency of deep neural networks on hardware platform. (TZhang)
  • Ultra low power passive IoT systems and spectrum sharing with active, semi passive devices (Chi)
  • Bringing Ambient Backscatter to Real World by Data-Driven Modeling. Using ML model to help ultra low-power, low SNR wireless communication. (Chi)
  • The Cleveland Tech Talent Pipeline (CLE TTP) (CYu)
• NASA Glenn Research Center - Applied anomaly detection in NASA test Facility, Data System (Fan)
• National Academy of Sciences - Traffic intersection detection and evaluation in satellite images. (HYu)
• Air Force Research Lab,
  • Detect, track and classify the large-scale objects in the microscopic image sequence of 3D material samples to analyze the material properties. (HYu)
  • Securing Lightweight Blockchain-based Internet of Things using Machine Learning Techniques (Kumar)
• Ohio Department of Higher Education - Robot arm control with machine vision: Controlling Functional Reaching with Eye and Head Movements of People with High Cervical Spinal Cord Injuries. (HYu)
• Ohio Cyber Range Institute - Ohio Cyber Range Regional Programming Center Application (CYu)
• Cleveland Clinic - Construct networks from biomedical data (Wu)
• GE Lighting - Privacy-Preserving Federated Learning for Smart Home (Kumar)
• New America - Smart Cities Privacy & Equity Community Awareness & Empowerment, PIT-UN (Public Interest Technology University Network) Challenge Grant (CYu)
• Center for Disease Control (through Cuyahoga County Board of Health)
  • Establishing Linkage to Care (Kumar)
  • Cuyahoga County Overdose Data to Action Initiative (Kumar)

CURRICULUM AND COURSES

Students enrolled in the PhD, MCS and MSSE degree program (Masters of Computer Science and Masters of Science in Software Engineering) are offered the following advanced courses (600-level or above) that are relevant to this group's research. It is strongly recommended to take thesis option for MCS/MSSE students, which requires research under the guidance of a faculty member, culminating in the writing of a thesis.

PhD in Engineering, Applied Computer and Data Science (ACDS) Specialization, is jointly offered by Cleveland Clinic and CSU. Other Data Science & Artificial Intelligence Programs at CSU include Machine Learning Artificial Intelligence Certificate (in preparation); MS in Statistics and Analytics (in process); Cybersecurity and Privacy Protection Certificate (Law); MS in Cybersecurity and Privacy Protection (Law); Cybersecurity Technology Certificate.