Dr. Hyuk Cho
Dr. Hyuk Cho is a Professor in Computer Science (CS) at Sam Houston State University (SHSU), TX. He was an Assistant Instructor in CS at UT at Austin, where he obtained Ph.D. and M.S. in CS and a Research Intern in Computer Science Lab at Samsung Information Systems America, San Jose, CA. He received M.A. in CS from Korea University and B.E. in Computer Engineering from Chonbuk National University, Korea (Republic of). He grew up in Jeonju-si, Jeollabuk-do, Korea.
- Ph.D. Computer Science, The University of Texas at Austin, Texas
- M.S. Computer Science, The University of Texas at Austin, Texas
- M.A. Computer Science (Database & Fuzzy Theory), Korea University, Korea (Republic of)
- B.E. Computer Engineering, Chonbuk National University, Korea (Republic of)
- Data Mining Tasks such as Pattern Extraction, Recognition, Recommendation, Information Retrieval, Clustering, and Classification
- Bioinformatics and Computational Biology using Data Mining and Machine Learning
- Pervasive (ubiquitous) Computing for Situation-Awareness on Mobile Phones
- Digital Information Forensics using Soft Computing
- Development of Computational Algorithms on High-Performance Computing Environments/Platforms as well as Open Source Processing Engines such as Apache Spark, TensorFlow, and Deep Learning.
Dr. Cho's wide-ranging expertise and versatile computing skills with 15 programming languages are indispensable for addressing challenging interdisciplinary research problems as well as for advising students in varied educational levels. He teaches Computer Programming, Algorithm Design and Analysis, Data Mining, as well as Special Topics on Machine Learning, Big Data Analytics, and Data Science. I had been invited to teach Advanced Data Mining course at Global School in Empirical Research Methods (GSERM) (June 2018 and June 2019), St. Gallen University, St. Gallen, Switzerland.
Honors and Awards
Dr. Cho's research has been recognized as two best papers and two best presentations as well as his student received numerous (>15) poster/platform presentation awards. Also, he received the Faculty Excellence in Research Award, COSET, SHSU, 2017.
- “Accelerating Credentials of Purpose and Value Grant Program,” B. Zhou and H. Cho, Texas Higher Education Coordinating Board (THECB) ($331,720), January–September 2022.
- “REU Site: Research Experience for Undergraduates in Genome Science and Computational Biology at Sam Houston State University,” M. Choudhary and H. Cho, NSF ($402,562), June 2021 – August 2023.
- “Analysis of Small Regulatory RNAs in Rhodobactoer sphaeroides and Its Application toward Biomediation of a Heavy Metal Environment,” M. Choudhary and H. Cho, Interdisciplinary and Collaboratory Program, 2019 Internal Grant, SHSU ($18, 813), summer 2020.
- “Enhancing Computer Science and Digital Forensics Education by Integrating Lecture Directed and Project-based Learning in Mobile Computing and Mobile Forensics,” Q. Liu, H. Cho, B. Zhou, K. Rabieh, and M. Wei, Teaching Innovation Grants (TIGs), SHSU ($8,000), summer 2019.
- “Improving Forensics and Cybersecurity Education with Intelligent Computing by Integrating Lecture Directed and Project-based Learning Together,” Q. Liu, K. Rabieh, M. Wei, and H. Cho, Teaching Innovation Grants (TIGs), SHSU ($11,000), summer 2018.
- D. Omotajo, H. Cho, and M. Choudhary (2021) Minimal Secondary Structure Formation on mRNAs with a Shine-Dalgarno Sequence for Chromosomal Genes in Rhodobacter sphaeroides. Advances in Microbiology, 11, 529–540.
- F. Paligue, A. Kumar, H. Cho, and C. Varol (2019) BrowStExPlus: A Tool to Aggregate IndexedDB Artifacts for Forensic Analysis. Journal of Forensic Sciences, 64(5), pp. 1370–1378.
- M. An and H. Cho (2014) Minimum Latency Data Collection in Inference-Aware Wireless Sensor Networks. 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 1–5. (Best Paper Award).
- M. J. Deodhar, G. K. Gupta, J. Ghosh, H. Cho, and I. S. Dhillon (June 2009) A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data. Proceedings of the 26th Annual International Conference on Machine Learning (ICML), pp. 241–248. (Nominated (honorably mentioned) as a best student paper)
- H. Cho and I. S. Dhillon (July-September 2008) Co-clustering of Human Cancer Microarrays using Minimum Sum- Squared Residue Co-clustering (MSSRCC) Algorithm. IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB), vol. 5, no. 3, pp. 385–400. (Selected as a featured article)