About
Dr. Jiho Noh's research interests include the following topics: ♣ Generative AI for Knowledge Representation, ♣ Neural representation learning for knowledge discovery, ♣ Text processing including data mining, information extraction, entity recognition and knowledge database construction, and ♣ Conversation techniques in information retrieval. If you are interested in discussing research topics with him, please contact me via email.
Affiliated Positions
Assistant Professor, Department of Computer Science, Kennesaw State University
- Office: Atrium Building #J-341
- Email: jnoh3@kennesaw.edu
- Phone: 470-578-6355
Updates!
Jan, 2025 – Congratulations~! Nong's paper "YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learner's Perspectives" accepted in IEEE Conference on Semantic Computing.
Jan, 2025 – Congratulations~! Sachin's paper, advised by Alexiou Michail, "Investigating the Transferability and Robustness of Adversarial Attacks between Standard and Dilated CNN Architectures" is accepted in AINA-2025
Projects
Jiho and his reserach team focus on the applied science of information retrieval and natural language processing across a variety of domains, including healthcare, education, and project management businesses.
2025
Exploring the Opioid Epidemic in Rural Areas: A Comprehensive Analysis of Opioid Use and Comorbidities in MedSter EHR Ddata
This project use various medical datasets to examine the prevalence and patterns of opioid use and associated comorbidities. The findings aim to inform interventions and policies to address the opioid epidemic and disparities in health and health care.
2024
Automatic Educational Concept Map Construction
Developing a domain-independent concept map construction system from digital texts for knowledge tracing and assessment question generation.
2022
Survey on Conversational Search and Applications in Biomedicine
A literature review on conversational search techniques for information retrieval and applications in the biomedical domains.
Graph Representation Learning for IR and Ontology Construction
Graph representation learning using various meta-paths and the applications in information retrieval and ontology construction tasks.
Publication
2022
- Tong, C., Jiho, N., Luke C., John M., & Junggab S. "Improving Fashion Attribute Clasification Accuracy with Limited Labeled Data using Transfer Learning." 2022 20th IEEE International Conference on Machine Learning and Applications.
- Naga, K., Gowtham, G. & Jiho N. "A Survey on Conversational Search and Applications in Biomedicine." pre-print.
2021
- Noh, Jiho, and Ramakanth Kavuluru, "Joint Learning for Biomedical NER and Entity Normalization: Encoding Schemes, Counterfactual Examples, and Zero-Shot Evaluation." BCB '21: Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine. July 2021 pdf
- Noh, Jiho, "Neural Representations of Concepts and Texts for Biomedical Information Retrieval" (2021). Theses and Dissertations--Computer Science. 102. pdf
- Noh, Jiho, and Ramakanth Kavuluru, "Improving Static Biomedical Word Embeddings using Concept Relationship in the Corpus and Ontology." Journal of Biomedical Informatics. pdf
2020
- Noh, Jiho, and Ramakanth Kavuluru, Literature Retrieval for Precision Medicine using Neural Matching and Faceted Summarization. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2020 Nov. pdf
- Ramakanth Kavuluru, Jiho Noh, and Shyanika W. Rose, Twitter Discourse on Nicotine as Potential Prophylactic or Therapeutic for COVID-19. pdf
2019
- Noh, Jiho, and Ramakanth Kavuluru. "Document Retrieval for Biomedical Question Answering with Neural Sentence Matching." 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2018.
- Noh, Jiho, and Ramakanth Kavuluru. "Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting." TREC. 2017.
Teaching
"One of the essential tenets of my teaching philosophy is the belief that education should be an ongoing process of inspiring students to recognize how the subjects they are learning are conntected to their abilities." -- from Jiho's statement of teaching philosophy
Information Retrieval
Information Retrieval is a course that focuses on the techniques and algorithms used to search and retrieve information from large collections of data. It covers topics such as indexing, query processing, relevance feedback, and text mining. The course also covers the use of search engines and other information retrieval systems.
[Fall21, Fall22, Fall23]
Machine Learning
Machine Learning is a course that focuses on the development of algorithms and techniques used to make predictions and decisions from data. It covers topics such as supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning.
[Sp22, Sp23, Fall23]
Database Systems
Database Systems is a course that focuses on the design, implementation, and management of databases. It covers topics such as relational databases, query languages, data modeling, and database security.
[Sp22, Sm22]