Dr. Sunnie Sun Chung Big Data Analytics and AI Lab, Cleveland State University

SELECTED RECENT PUBLICATIONS and AWARDS (LAST 5 YEARS ONLY)

PEER-REVIEWED JOURNAL PUBLICATIONS

Asanka Mananayaka and Sun Sunnie Chung, “Network Intrusion Detection with Spatial and Temporal Knowledge Graphs and Semi-Supervised Learning”, In the IEEE Access Journal Volume 14: 95955-95968 (2026). https://ieeexplore.ieee.org/document/11576027
DOI: 10.1109/ACCESS.2026.3706431

Dennis Risch and Sun Sunnie Chung, "TEXT-to-SQL: Generative AI with Relational Schema Linking for Patient Centric Clinical Data ", Accepted (under revision for publication) to the IEEE Transaction Journal of Reliability, Aug 2026

George Eugene Jaskiw, Mark E. Obrenovich, Sun Sunnie Chung, “Targeted and Non-targeted Metabolomic Evaluation of Cerebrospinal Fluid in Early Phase Schizophrenia”, in the Special Issue Metabolomics in Human Diseases and Health, Journal of Metabolites 2025, 15(4), 275; https://doi.org/10.3390/metabo15040275
DOI: 10.3390/metabo15040275

Sun Sunnie Chung and Dennis Risch, "Semi-Supervised Heterogeneous Geospatial Knowledge Learning for Intelligent Property Recommendation Systems", Accepted (under Revision for Resubmission) to the IEEE Access Journal, Aug 2026 https://open.ieee.org/publishing-options/ieee-access/

Abhinav Abhishek, Abay Suleimenov1, Sunnie Sun Chung, Shravan Kethireddy, “Early Sepsis Prediction with Context-Aware Clinical Learning for Automatic Medical Diagnosis” submitted to Journal of Medical Informatics, July 2026

Sun Sunnie Chung and Aya Aqeel, “Evidence Based Medical Question Answering System with Contextual Knowledge Graph”, Accepted (Under Revision to Be Published) to the IEEE Transaction Journal of Artificial Intelligence, 2026

Kim Loc Chau, Sun Sunnie Chung, “From Retrieval to Reasoning: Enhanced GraphRAG with Clinical Knowledge Graph for Explainable Generative Medical AI”, Submitted to the IEEE Transaction Journal of Artificial Intelligence, Sept 2026

Samuel Quarcoo and Sun Sunnie Chung, “Text-to-Cypher Generative AI: Graph Retrieval Query Language Translation of Medical Knowledge Graph with Phrase Graph Pattern for Question Answering Systems” Submitted to Journal of Biomedical Informatics, Sept 2026

Asanka Mananayaka and Sun Sunnie Chung, “Semi-Supervised Weighted Binarization of Multi-Class Classification for Network Intrusion Detection”, in the IEEE Access Journal, Volumn 11 DOI: 10.1109/ACCESS.2023.3274474, May 2023 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10121454

Sun Sunnie Chung and Anastasiya Katalina, “Machine Learning Approach for Untargeted Metabolomic Analysis for Identification of Schizophrenia Patients”, under the Submission to the Journal of Data Analysis and Information Processing, 2026

Sun Sunnie Chung and Yixi Luo, “Practical Privacy-Preserving Approach of Cloud-Based Deep Learning Systems with Fully Homomorphic Encryption ”, to be submitted to the IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2026

Sun Sunnie Chung and Andrew Yu, “Temporal and Spatial Data Processing for Basketball Game Analytics for Identification of NBA On-Ball Screen Offensive Play”, in the he IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), Vol 5: Issue 4, ISSN Print: 5611-8939, Dec 2020

Sun Sunnie Chung and Andrew Yu, “Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens”, in the International Journal of Networked and Distributed Computing (IJNDC), Vol 7: Issue 3, ISSN Print: 2211-7938, ISSN Online: 2211-7946, July 2019

Sun Sunnie Chung and Danielle Aring, "Integrated Real-Time Big Data Stream Sentiment Analysis Service", in Journal of Data Analysis and Information Processing, Vol 6: No 2, ISSN Print: 2327-7211 ISSN Online: 2327-7203, April 2018

PEER-REVIEWED CONFERENCE PROCEEDINGS

Geri Busch and Sun Sunnie Chung, " Machine Learning Based Identification of Food Desert Defection and Public Health Disparity Areas", in the Proceedings of the IEEE International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), August 2025

Mike D’Arcy and Sun Sunnie Chung, “Unsupervised Topic Model Based Text Network Construction for Learning Word Embeddings”, In the Proceedings of the 18th IEEE International Conference on Machine Learning and Applications, Boca Raton Florida, Dec 2019

Jinjie Liu and Sun Sunnie Chung, “Unsupervised Automatic Feature Selection For Machine Learning Based Wi-fi Network Intrusion Detection”, In the Proceedings of the 18th IEEE International Conference on Machine Learning and Applications, Boca Raton Florida, Dec 2019

Sun Sunnie Chung and Jinjie Liu, “Automatic Feature Extraction and Selection for Machine Learning Based Intrusion Detection”, in the Proceedings of The 16th IEEE International Conference on Advanced and Trusted Computing, Leicester UK, August, 2019

Sunnie S. Chung and Andrew Yu, "Framework for Analysis and Prediction of NBA Basketball Plays", in the Proceedings of The 16th IEEE International Conference on Advanced and Trusted Computing, Leicester UK, August, 2019

Andrew Yu and Sun Sunnie Chung, "Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens", in the Proceedings of the 4th IEEE International Conference on Big Data, Cloud Computing and Data Science Engineering, Honolulu, May 2019

PEER-REVIEWED BOOK CHAPTERS

Andrew Yu and Sun Sunnie Chung, "Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens", Invited to be published in Springer's Studies in Computational Intelligence, May 2019

PEER-REVIEWED/PROFESSIONAL WORKSHOP/SYMPOSIUM PRESENTATIONS

Sunnie S. Chung and Danielle Aring, “Integrated Real-time Social Media Sentiment Analysis using a Big Data Analytic Ecosystem”, Presentation in the Workshop on Big Data and Hadoop Distributed File System, Cleveland OH, Nov 2017
Pan Li and Sunnie S Chung, “Federated EXperimental Cyber Infrastructure Testbed (EXCIT): Industry and Academia Collaboration on IoT with Case Western Reserve University. Presentation and Research Demo in IoT Collaborative Symposium, May 2017

INVITED TALKS

Invited Talk to IEEE Women Engineering Society Invited Talks on Opinion Analysis of Social Media Data, Jan 2018
Invited Talk to IEEE Computing Society Invited Talk on Big Data Analytics, August 2017

EXTERNAL RESEARCH GRANT PROPOSALS (LAST 5 YEARS ONLY)

National Science Foundation (NSF 24-523): Expanding Capacity in Quantum Information Science and Engineering (Expand QISE) “Expand QISE: RLQSC: Reinforcement Learning for the Optimal Design of Programmable Quantum Sensor Circuit”, PI Sun Sunnie Chung and Co-PI Murray Holland, Award No: SPC1017274280 ($799,985), Extended for Sept 2022 – Aug 2027.

National Science Foundation (NSF 25-534): Strengthening American Infrastructure (SAI), “AI-Driven Real-Time Highway and Local Road Accident Risk Assessment”, PI Emmanuel Kidando, Co-PI Sunnie S. Chung, and Co-PI Angela Kitali, April 2025 (Not Funded)

Bill and Melinda Foundation: CIC – Complexity Analysis and Reduction for Computer Science Curriculum, PI Sathish Kumar, Co-PI Sunnie S. Chung, et al. June 2024 – April 2026 (Funded)

Department of Transportation (DoT): Pipeline and Hazardous Material Safety Administration (PHMSA), “Leveraging AI/ML for Comprehensive Analysis and Standardization of CO2 Pipeline Transport and Safety”, C. Monty-Bromer (PI), S. Chung (Co-PI), May 2024 (Not Funded)

NSF Engineering Plus: Proposal for Stem Peer Program, “Modeling Tech Talent Pipelining with Teaching AI and Data Science for Minority and Female Students to Increase Diversity in Regional Stem Workforce”, S. Chung (PI), May 2022 – August 2024 (Accepted)

US Department of Defense funded Manufacturing USA Institute, MxD (Manufacturing times Digital) Grant Proposal titled “Automation of Augmented Reality Content Generation from Process Documentation for MxD (Manufacturing times Digital) with Natural Language Processing (NLP), B. Ward (PI), S. Chung (Co-PI), et. al., November 2023
Defense Advanced Research Projects Agency (DARPA) I2O Office-wide Broad Agency Announcement (BAA), Abstract of Grant Proposal, “Context-Aware AI with Army Domain Knowledge Graph for Multi-Domain Army Operations”, PI: S. Chung (CSU), M. Flynn, et. al. (Accipiter), October 2023

DoD (Department of Defense) SBIR Grant Proposal titled “Optimized Real-Time Edge Node Object Detection System for Image Processing”, PI: S. Chung (CSU), M. Flynn, et. al. (Accipiter), August 2023

Collaborative Grant Proposal to US Department of Transportation: University Transportation Center (UTC) for Research and Teaching (PI: B. Ward) on “Deep Learning Based Cyber-Attack Detection System of Wireless Networks of the IoT Platform for the Automated Connected Transportation System”, (Co-PI: S. Chung, et. al.), August 2022

DoD (Department of Defense) SBIR Grant Proposal titled “AI-Enabled Multi-Domain Battle Simulator with Deep Reinforcement Learning on Massively Parallel Platform”, (PI: S. Chung (CSU), M. Flynn, et. al. (Accipiter), June 2022

NSF BPC-DP Grant Proposal titled “Expanding and Empowering Teachers in Computing with Societal & Regional Narratives”, (PI: C. Yu (EECS), Co-PIs: B. Davis (BME), S. Chung (EECS) & D. Jackson (Education)), Jan 2022

Brought Initial Funding Approval of Award 6.3 million (2017 - 2023) of IoT Collaborative Grant from Cleveland Foundation, 2017 - 2023 (Later it was led by Dr. Shridhar (current Provost) to establish university wise effort to build IoT Collaborative between Case and CSU)

IoT Collaborative Pilot Grant Proposal titled “Protect Privacy in a Distributed Learning Platform with a Natural Language Processing Example.”, PI: M. Huang and S. Chung, to Cleveland Foundation. (Awarded $20,000.00). Dec 2018 - Dec 2019.

UNIVERSITY AWARDS

Faculty Merit Recognition Award on Teaching and Research 2024

Faculty Merit Recognition Award on Teaching and Research 2023

Faculty Merit Recognition Award on Teaching and Research 2020

Golden Apple Award 2022

Golden Apple Award 2021

Graduate Faculty Research Support Grant for Level-1 (university wise highest) Graduate Research Faculty by Office of Research, 2019

University Tech Support Grant, 2018

HOSTED WORKSHOPS

Workshop on Big Data and AI, Jan 2024 at CSU in Collaboration with IBM Health
Workshop on Big Data and AI, Jan 2023 at CSU in Collaboration with IBM Health
Workshop on Big Data and Analytics, Jan 2020 at CSU in Collaboration with IBM Health
Workshop on Big Data Analytics, Jan 2019 at CSU in Collaboration with IBM Health
Workshop on Big Data and Analytics, Jan 2018 at CSU in Collaboration with IBM Health
Workshop on Big Data and Analytics, Nov 2015 at CSU in Collaboration with IBM Health

RESEARCH POSTERS/DEMO

Jinjie Liu and Sun Sunnie Chung, “Deep Feature Extraction and Selection for Network Intrusion Detection”, in Research Day of Engineering College, Oct 2018
Mike D’Arcy, Utkarsh Patel, and Sunnie S Chung on “Natural Language Processing with Machine Learning for Semantic Document Search Engine” in Research Day of Engineering College, Oct 2017
Sunnie S. Chung and Danielle Aring, “Integrated Real-time Social Media Sentiment Analysis using a Big Data Analytic Ecosystem” in Research Day of Engineering College, Oct 2017

UNDERGRADUATE SUMMER RESEARCH

Mike D’Arcy, Utkarsh Patel on “Semantic Document Search with Machine Learning” Summer 2017 Funded by CSU
Mike D’Arcy on “Semantic Document Search with Machine Learning” Summer 2018 Funded by CSU

RESEARCH GRANTS / PROPOSALS (LAST 4 YEARS ONLY)

Brought the Initial Funding Approval of the Establishment of $6.3 million (over six years) for Internet of Things Collaborative (IOTC) between CSU and Case Western Reserve University funded by the Cleveland Foundation
IoT Collaborative Pilot Grant Proposal titled “Protect Privacy in a Distributed Learning Platform with a Natural Language Processing Example.” in Collaboration with Ming-Chun Huang (CWRU): Awarded on Dec 2018 in the amount of $20,000.00
NSF 17-570 Computer and Network Systems (CNS) Grant Proposal titled “Democratized Computing System Design for Privacy-Sensitive Cloud/Edge Environment” Submitted on Nov 2018
Initial Seed Grant Proposal to Cleveland Foundation for Data Analytics and Cyber Security, Sunnie Chung, Dec 2015 under acknowledgement of formal CSU President Berkman and Executive Resident Dr. Julien Earl (Now Developed to IoT Collaborative CWRU-CSU Lead by Dean Sridhar)
IoT Collaborative Grant Award: Federated EXperimental Cyber Infrastructure Testbed (EXCIT): Industry and Academia Collaboration, Pan Li (CWRU), Sunnie Chung, and Wenbing Zhao (CSU). Award $20,000 on May 2017
FRD-IOT Proposal on Cyber Security and Privacy in IoT Infrastructures on Public Cloud, Sept 2017
Grant Proposal; Sunnie Chung(CSU), Pan Li (Case) “Cyber Security and Privacy of IoT on Public Cloud with Encrypted Database Querying”, to Cleveland Foundation, July 2017
NSF Proposal Intension, Sunnie Chung, Douglas Meil (IBM) and Brian Durkin (Progressive): "Intent of Submission of Proposal for Award Abstract #1550320 in BD Hubs: MIDWEST: SEEDCorn"

TEACHING GRANTS / PROPOSALS (LAST 4 YEARS ONLY)

University Tech Support Award for Big Data Teaching Lab in Computer Science: Awarded in the amount of $12,648, April 2018
Built Big Data Analytics Research Lab (FH305) in EECS Dept, College of Engineering, Sept 2018
Grant Proposal on Cross-Disciplinary Course Development for Big Data Analytics Systems in Cloud based IoT”, Sunnie Chung (CSU), Pan Li, (Case Western Reserve University) to Cleveland Foundation, July 2017

GRADUATE RESEARCH ADVISING During Last 5 Years Only

Asanka Mananayaka, (Doctoral Dissertation Proposal Defense), Title: “Semi-Supervised Anomaly Detection for Network Intrusion Detection Systems in IoT Networks”, March 2025

Yixi Luo, (Doctoral Dissertation Proposal Defense), Title: “Practical Privacy-Preserving Approach of Cloud-Based Deep Learning Systems with Fully Homomorphic Encryption”, Summer 2023

Aya Aqeel, (Master Thesis MSSE) Title: “Evidence Based Medical Question Answering System Using Knowledge Graph Paradigm”, May 2022

Joe Marser, (Master Thesis MSSE) “Large Scale e-Commerce Recommendation System with Concept Net”, Fall 21 – Fall 22

Sean Riehl, (Master Thesis MSSE) Title: “Property Recommendation System with Geospatial Data Analytics and Natural Language Processing for Urban Land Use”, May 2020

Labhesh Popoli (Master Thesis MSSE), Thesis Title: “An Attention Based Deep Neural Network for Visual Question Answering System”, December 2019

Danielle Aring (Master Thesis MSCS), thesis title: “Integrated Real-time Social Media Sentiment Analysis using a Big Data Analytic Ecosystem”, May 2016

Andrew Yu (Master Thesis MSCS), thesis title: "Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens", May 2016

Izdehar Aldyaflah, (Ph.D.), Dissertation Proposal: “Blockchain-Based Secure Sensing Data and Logging”, May 2023

JAFAR POURBEMANY, (Ph.D.), Dissertation Proposal: “AUTOMATIC CARDIAC SIGNALS ANALYSIS AND APPLICATION OF BIOMETRICS IN WEARABLES SECURITY”, March 2023

Qing Wu, (Ph.D.), Dissertation Proposal Defense: “QipNet: Quick in Process Deep Learning Neural Networks in Electroencephalography (EEG) Signals”, Oct 2021

JingYuan Liang (Ph.D.), Dissertation Proposal Defense: “Tail Timeout Defense Mechanism to Website Censorships in Fingerprinting Methods”, Dec 2019

Dennis Risch, “Medical Question Answering System with Knowledge Graph Integrated with Patient Centric Time Sequenced Data Warehouse”, Fall 2023 – Present

Husan A. Almusawi, “Domain specific Language Model for Medical Question Answering System with Knowledge Graph and Concept Net”, Spring 2023 – Present

Sam Quarcoo, “Query Language for Knowledge Graph for Medical Question Answering System”, Spring 2023 - Present

Abay Suleimenov, "“Knowledge Graph Based Context Information Retrieval for Prompting Training of Large Language Models”

SRAVYA BETHU (MSCS Thesis), Thesis Title: “Compromising Random Linear Network Coding as A Cipher”, May 2022

Mrunal Dipakkumar Bhatt (MSCS Thesis), “INTELLIGNET VOICE ACTIVATED HOME AUTOMATION”, May 2016

Dennis Risch, “Intelligent Real Estate Recommendation System with Geospatial Analysis and Natural Language Processing”, Spring 2023

Geri Bakushi, “Machine Learning Based Identification of Food Desert Defection and Public Health Disparity Areas for a Property Recommendation System”, Spring 2023

Jimmy Popoola, “Automated Machine Learning Based Intrusion Detection System”, Spring 2023

Yiyuan Dorothy Zhao (Honor Thesis), Thesis Title: “Machine Learning Based Identification of Food Desert Defect in Urban Development”, May 2020

Mike D’Arcy, Utkarsh Patel on “Semantic Document Search with Machine Learning” Summer 2017 Funded by College of Engineering, CSU

Mike D’Arcy on “Semantic Document Search with Machine Learning” Summer 2018 Funded by College of Engineering, CSU

Ryan Reynolds, “Topic Modeling for Text Analytics with Natural Language Processing Method: Bidirectional Encoder Representations from Transformers (BERT)”, Summer 2019

AWARD WINNING SENIOR RESEARCH PROJECTS

Cerebro: Real Time Security Service (The First Prize Winner of 2016 Senior Design in College of Engineering) by Nick White, et al

Semantic Document Search with Machine Learning: Sharesci (The Best CS Senior Project Winner of 2018) by Mike D'Arcy and Utkarsh Patel

: Document Search Engine for Collaborative Content Management by Nick McCoy, Benjamin Mckinsey, et al

Urban Real Estate Analytic Service (The Candidate of Best Senior Project 2019 in College of Engineering) by Joel Stell et. al.

2020 Presidential Election Prediction from SocialMedia Opinion Analysis(The Best CS Senior Project Winner of 2021) by Hayden Ferencz and at. el

People

Faculty: Dr. Sunnie Sun Chung

See the Article (in Page 3) about Big Data Lab and Dr. Sunnie Chung !

BIG DATA LAB RESEARCH PEOPLE (Since 2016)

PHD DISSERTATION STUDENTS

Asanka Mananayaka, (Doctoral Dissertation Proposal Defense), Title: “Semi-Supervised Anomaly Detection for Network Intrusion Detection Systems in IoT Networks”, Spring 2021 - Present

Abhinav Abhishek, Title: “Patient Centric Time Sequenced Knowledge Graph for Medical Question Answering System on Clinical Data”, Spring 2023 - Present

Sam Quarcoo, “Query Language for Knowledge Graph for Medical Question Answering System”, Fall 2024 - Present

Abay Suleimenov, "Knowledge Graph Based Context Information Retrieval for Prompting Training of Large Language Models”, Fall 2024 - Present

Collin Simpson, "GraphRAG: Knowledge Graph Based Patient Centric Time Sequenced Clinical Data Retrieval for RAG with Large Language Models”, Spring 2025 - Present

MASTER THESIS STUDENTS (GRADUATED)

Aya Aqeel, (Master Thesis MSSE) Title: “Evidence Based Medical Question Answering System Using Knowledge Graph Paradigm”, May 2022

Joe Marser, (Master Thesis MSSE) “Large Scale e-Commerce Recommendation System with Concept Net”, Fall 21 – Fall 22

Sean Riehl, (Master Thesis MSSE) Title: “Property Recommendation System with Geospatial Data Analytics and Natural Language Processing for Urban Land Use”, May 2020

Labhesh Popoli (Master Thesis MSSE), Thesis Title: “An Attention Based Deep Neural Network for Visual Question Answering System”, December 2019

Danielle Aring (Master Thesis MSCS), thesis title: “Integrated Real-time Social Media Sentiment Analysis using a Big Data Analytic Ecosystem”, May 2016

Andrew Yu (Master Thesis MSCS), thesis title: "Automatic Identification and Analysis of Basketball Plays: NBA On-Ball Screens", May 2016

CURRENT MASTER THESIS STUDENTS

Dennis Risch, “Medical Question Answering System with Knowledge Graph Integrated with Patient Centric Time Sequenced Data Warehouse”, Fall 2023 – Present

Husan A. Almusawi, “Domain specific Language Model for Medical Question Answering System with Knowledge Graph and Concept Net”, Spring 2023 – Present

PHD DEFENSE (COMPLETED)

Izdehar Aldyaflah, (Ph.D.), Dissertation Proposal: “Blockchain-Based Secure Sensing Data and Logging”, May 2023

JAFAR POURBEMANY, (Ph.D.), Dissertation Proposal: “AUTOMATIC CARDIAC SIGNALS ANALYSIS AND APPLICATION OF BIOMETRICS IN WEARABLES SECURITY”, March 2023

Qing Wu, (Ph.D.), Dissertation Proposal Defense: “QipNet: Quick in Process Deep Learning Neural Networks in Electroencephalography (EEG) Signals”, Oct 2021

JingYuan Liang (Ph.D.), Dissertation Proposal Defense: “Tail Timeout Defense Mechanism to Website Censorships in Fingerprinting Methods”, Dec 2019

ADDITIONAL MASTER THESIS STUDENTS (COMPLETED AS THEIR THESIS COMMITTEE)

SRAVYA BETHU (MSCS Thesis), Thesis Title: “Compromising Random Linear Network Coding as A Cipher”, May 2022

Mrunal Dipakkumar Bhatt (MSCS Thesis), “INTELLIGNET VOICE ACTIVATED HOME AUTOMATION”, May 2016

47 GRADUATE RESEARCH PROJECTS / INDEPENDENT STUDY STUDENTS

4 HONOR THESIS STUENTS (COMPLETED)

Dennis Risch, “Intelligent Real Estate Recommendation System with Geospatial Analysis and Natural Language Processing”, Spring 2023

Geri Bakushi, “Machine Learning Based Identification of Food Desert Defection and Public Health Disparity Areas for a Property Recommendation System”, Spring 2023

Jimmy Popoola, “Automated Machine Learning Based Intrusion Detection System”, Spring 2023

Yiyuan Dorothy Zhao (Honor Thesis), Thesis Title: “Machine Learning Based Identification of Food Desert Defect in Urban Development”, May 2020

UNDERGRADUATE SUMMER RESEARCH STUDENTS (COMPLETED)

Mike D’Arcy, Utkarsh Patel on “Semantic Document Search with Machine Learning” Summer 2017 Funded by College of Engineering, CSU

Mike D’Arcy on “Semantic Document Search with Machine Learning” Summer 2018 Funded by College of Engineering, CSU

Ryan Reynolds, “Topic Modeling for Text Analytics with Natural Language Processing Method: Bidirectional Encoder Representations from Transformers (BERT)”, Summer 2019

53 SENIOR DESIGN PROJECT STUDENTS in DATA SCIENCE

AWARD WINNING SENIOR RESEARCH PROJECTS

Cerebro: Real Time Security Service (The First Prize Winner of 2016 Senior Design in College of Engineering) by Nick White, et al

Semantic Document Search with Machine Learning: Sharesci (The Best CS Senior Project Winner of 2018) by Mike D'Arcy and Utkarsh Patel

: Document Search Engine for Collaborative Content Management by Nick McCoy, Benjamin Mckinsey, et al

Urban Real Estate Analytic Service (The Candidate of Best Senior Project 2019 in College of Engineering) by Joel Stell et. al.

2020 Presidential Election Prediction from SocialMedia Opinion Analysis(The Best CS Senior Project Winner of 2021) by Hayden Ferencz and at. el

SENIOR DESIGN PROJECT SUPERVISIONS (47)

MASTER PROJECT STUDENTS
40 Master Research Project Students in Independent Study During Last 5 Years

SENIOR DESIGN STUDENTS in DATA SCIENCE

53 Senior Students in the 8 Prize Winning CS Senior Project Teams

2023-2024:

Project: Mute and Deaf Sign Language Translating Glove

Members:
Carmen Villalobos Garcia
Salvador Murillo
Leonid Negomedzyanov
Fabio Hinojosa Jimenez

2022-2023:

Project: Intelligent Real Estate Recommendation System

Research Members:
Dennis Risch
Geri Bakushi
Gabriel Phillips
Troy Reid

Project: Infectious Disease Risk Predictor

Research Members:
Nathanael Ahiagbedey
Connor Van Etten
Danny De Jesus
Zavier Romano

2021-2022:

Project: Social Media Opinion Analysis System on Legislative Congress Bills
Research Members:
Nicholas E. Cleary
Nathan Dixon
Ian Wu
Aidan Zapotechne

Post Graduate Student Success from Big Data Lab (During Last 5 Years Only)

Selective List of the Prestigious Industry and Academia Where Our Big Data Lab Students Landed After Graduation

Mr. Michael D’Arcy (Now Ph.D at North Western University)

Mr. Utkarsh Patel (Now Master at University of Southern California (USC))

Mr. Nick White (FaceBook)

Ms. Suhua Wei (Amazon)

Mr. Durga P Dasepalli (Amazon)

Mr. Srinivas Tejomurthula (Oracle)

Ms. Danielle Aring (First Energy) She was the First CSU Graduated Data Scientist.

Mr. Andrew Yu (now in PhD at Case Western Reserve University)

List Of Prestigious Local Industry Where Countless Big Data Graduates Are Currently With

MicroSoft

Cleveland Clinic

Rockwell Automation

Progressive

Sherwin Williams

Parker Hannifin

Metro Health

Yelp

Medical Mutual

Hyland Software

First Energy

IBM Health