James Geller
James Geller
Professor, Data Science
2103 Guttenberg Information Technologies Center (GITC)
About Me
Move fast and break things - Mark Zuckerberg
Dr. James Geller is Professor and Chair of the Department of Data Science in the Ying Wu College of Computing at New Jersey Institute of Technology (NJIT). He received his MS and PhD degrees from the State University of New York at Buffalo in 1988 in Computer Science, with a focus on AI/Knowledge Representation. Dr. Geller cofounded SABOC (the Structural Analysis of Biomedical Ontologies Center) at the Department of Computer Science at NJIT. He has published over 200 journal papers, conference papers and book chapters in Medical Informatics, Semantic Web Technology, Object-Oriented Database Modeling, Knowledge Representation, etc. Previously, Dr. Geller was Co-Principal Investigator on several grants from NIH on auditing methods, abstraction/summarization algorithms and software tools for important medical terminology systems such as the Unified Medical Language System (UMLS) and SNOMED CT. He was co-PI on an NSF grant for teaching Cyber Security (iSECURE). From 2014 to 2019 he was co-PI on an NIH grant on family-based quality assurance for Biomedical Ontologies. Currently he is co-PI on an NSF grant on "Increasing Urban Youth Participation in Computing through Mentorship and Coding Resources." He is also an investigator on the New Jersey (NJ) ACTS program of Rutgers, Princeton, and NJIT. Dr. Geller is a founding participant of the BRAID Consortium of Harvey Mudd College and is actively involved in bringing women and minorities into the computing field. In 2012 Dr. Geller was inducted as a Fellow of the American College of Medical Informatics (ACMI). Dr. Geller received the NJIT Master Teacher Designation (2005) and three other NJIT teaching awards in 2002, 2003 and 2011. Dr. Geller also received an NJIT College Research Award (2010).
Dr. James Geller is Professor and Chair of the Department of Data Science in the Ying Wu College of Computing at New Jersey Institute of Technology (NJIT). He received his MS and PhD degrees from the State University of New York at Buffalo in 1988 in Computer Science, with a focus on AI/Knowledge Representation. Dr. Geller cofounded SABOC (the Structural Analysis of Biomedical Ontologies Center) at the Department of Computer Science at NJIT. He has published over 200 journal papers, conference papers and book chapters in Medical Informatics, Semantic Web Technology, Object-Oriented Database Modeling, Knowledge Representation, etc. Previously, Dr. Geller was Co-Principal Investigator on several grants from NIH on auditing methods, abstraction/summarization algorithms and software tools for important medical terminology systems such as the Unified Medical Language System (UMLS) and SNOMED CT. He was co-PI on an NSF grant for teaching Cyber Security (iSECURE). From 2014 to 2019 he was co-PI on an NIH grant on family-based quality assurance for Biomedical Ontologies. Currently he is co-PI on an NSF grant on "Increasing Urban Youth Participation in Computing through Mentorship and Coding Resources." He is also an investigator on the New Jersey (NJ) ACTS program of Rutgers, Princeton, and NJIT. Dr. Geller is a founding participant of the BRAID Consortium of Harvey Mudd College and is actively involved in bringing women and minorities into the computing field. In 2012 Dr. Geller was inducted as a Fellow of the American College of Medical Informatics (ACMI). Dr. Geller received the NJIT Master Teacher Designation (2005) and three other NJIT teaching awards in 2002, 2003 and 2011. Dr. Geller also received an NJIT College Research Award (2010).
Education
Ph.D.; SUNY at Buffalo; Computer Science; 1988
M.S.; SUNY at Buffalo; Computer Science; 1984
Diplom Ingenieur (roughly a German Master's degree); Technische Universitaet Wien; Electrical Engineering; 1979
M.S.; SUNY at Buffalo; Computer Science; 1984
Diplom Ingenieur (roughly a German Master's degree); Technische Universitaet Wien; Electrical Engineering; 1979
Website
2025 Spring Courses
DS 700B - MASTER'S PROJECT
CS 488 - INDEPENDENT STUDY IN CS
DS 792B - PRE-DOCTORAL RESEARCH
CS 632 - ADV DATABASE SYS DESIGN
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
DS 701B - MASTER'S THESIS
DS 725 - INDEPENDENT STUDY I
DS 726 - INDEPENDENT STUDY II
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
CS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
DS 790A - DOCT DISSERTATION & RES
CS 488 - INDEPENDENT STUDY IN CS
DS 792B - PRE-DOCTORAL RESEARCH
CS 632 - ADV DATABASE SYS DESIGN
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
DS 701B - MASTER'S THESIS
DS 725 - INDEPENDENT STUDY I
DS 726 - INDEPENDENT STUDY II
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
CS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
DS 790A - DOCT DISSERTATION & RES
Teaching Interests
Databases
Past Courses
CS 632: ADV DATABASE SYS DESIGN
CS 632: ADVANCED DATABASE SYSTEM DESIGN
CS 639: ELEC MEDICAL RECORDS:COMP IMP
CS 698: ST:
CS 698: ST:MEDICAL DICTIONARY COMP SYS
DS 632: COMPUTING WITH ADVANCED DATA REPRESENTATIONS
CS 632: ADVANCED DATABASE SYSTEM DESIGN
CS 639: ELEC MEDICAL RECORDS:COMP IMP
CS 698: ST:
CS 698: ST:MEDICAL DICTIONARY COMP SYS
DS 632: COMPUTING WITH ADVANCED DATA REPRESENTATIONS
Research Interests
Medical Informatics, Semantic Web, Ontologies, Medical Terminologies
In Progress
Medical Ontology in Virtual Reality
The project focuses on Visualizing complex medical ontologies with thousands of nodes in VR. We are in the second phase of the project. We are actively writing the results of our first user study and developing an experiment for the second user study.
The project focuses on Visualizing complex medical ontologies with thousands of nodes in VR. We are in the second phase of the project. We are actively writing the results of our first user study and developing an experiment for the second user study.
Conference Paper
“Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining”
17th International Conference on Health Informatics—HEALTHINF, 2024.
“Continuous Evaluation for a Multi-Dimensional Violent Crime Prevention and Recovery Policy”
ACM, June 2024.
“Enhanced Multi-Class Detection of Fake News”
AAAI Press, May 2024.
“Hyperparameter Optimization Using Genetic Algorithm for Extracting Social Determinants of Health Text”
SCITEPRESS, February 2024.
“Safeguarding Ethical AI: Detecting Potentially Sensitive Data Re-Identification and Generation of Misleading or Abusive Content from Quantized Large Language Models”
SCITEPRESS, February 2024.
17th International Conference on Health Informatics—HEALTHINF, 2024.
“Continuous Evaluation for a Multi-Dimensional Violent Crime Prevention and Recovery Policy”
ACM, June 2024.
“Enhanced Multi-Class Detection of Fake News”
AAAI Press, May 2024.
“Hyperparameter Optimization Using Genetic Algorithm for Extracting Social Determinants of Health Text”
SCITEPRESS, February 2024.
“Safeguarding Ethical AI: Detecting Potentially Sensitive Data Re-Identification and Generation of Misleading or Abusive Content from Quantized Large Language Models”
SCITEPRESS, February 2024.
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Journal Article
James Geller. 2024. “Teaching computing and experiencing grief in the year 1 AC (after ChatGPT) [Opinion Article].” , vol. 9.
V K Keloth, S Zhou, L Lindemann, L Zheng, G Elhanan, A J Einstein, James Geller, Yehoshua Perl. 2023. “Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients..” BMC medical informatics and decision making, vol. 23, no. Suppl 1, pp. 1-18.
Chih Yuan Li, Michael Renda, Fatima Yusuf, James Geller, Soon Ae Chun. 2022. “Public Health Policy Monitoring through Public Perceptions: A Case of COVID-19 Tweet Analysis.” Information (Switzerland), vol. 13, no. 11.
James Geller. 2021. “Fostering a sense of belonging in female computer science students.” Journal of Computing Sciences in Colleges, vol. 37, no. 3, pp. 36-44.
Ling Zheng, Yehoshua Perl, Yongqun He, Christopher Ochs, James Geller, Hao Liu, Vipina K Keloth. 2021. “Visual Comprehension and Orientation into the COVID-19 CIDO Ontology. Journal of Biomedical Informatics.” Journal of Biomedical Informatics, vol. 120, no. C.
V K Keloth, S Zhou, L Lindemann, L Zheng, G Elhanan, A J Einstein, James Geller, Yehoshua Perl. 2023. “Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients..” BMC medical informatics and decision making, vol. 23, no. Suppl 1, pp. 1-18.
Chih Yuan Li, Michael Renda, Fatima Yusuf, James Geller, Soon Ae Chun. 2022. “Public Health Policy Monitoring through Public Perceptions: A Case of COVID-19 Tweet Analysis.” Information (Switzerland), vol. 13, no. 11.
James Geller. 2021. “Fostering a sense of belonging in female computer science students.” Journal of Computing Sciences in Colleges, vol. 37, no. 3, pp. 36-44.
Ling Zheng, Yehoshua Perl, Yongqun He, Christopher Ochs, James Geller, Hao Liu, Vipina K Keloth. 2021. “Visual Comprehension and Orientation into the COVID-19 CIDO Ontology. Journal of Biomedical Informatics.” Journal of Biomedical Informatics, vol. 120, no. C.
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Conference Proceeding
“Toward Policy Transparency and Real-Time Policy Assessment”
July (3rd Quarter/Summer) 2023.
“Multiple View Summarization Framework for Social Media”
January (1st Quarter/Winter) 2023.
“An Ontology for the Social Determinants of Health Domain”
December 2022.
“Virtual Reality Ontology Object Manipulation (VROOM)”
HEALTHINF , 2022.
“Characterizing Android Medical Apps”
14th International Conference on e-Health 2022 (EH 2022), July (3rd Quarter/Summer) 2022.
July (3rd Quarter/Summer) 2023.
“Multiple View Summarization Framework for Social Media”
January (1st Quarter/Winter) 2023.
“An Ontology for the Social Determinants of Health Domain”
December 2022.
“Virtual Reality Ontology Object Manipulation (VROOM)”
HEALTHINF , 2022.
“Characterizing Android Medical Apps”
14th International Conference on e-Health 2022 (EH 2022), July (3rd Quarter/Summer) 2022.
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Other
“Tribal abstraction network”
US20170039295A1, 2017.
“”
US9286381B2, 2016.
“Optimized ontology based internet search systems and methods”
US9262527B2, 2016.
“How to Summarize Big Knowledge Subjects”
International Conference on Biological Ontology & BioCreative, August 2016.
“Professionalize CS Education Now. Letter to the Editor. ”
Communications of the ACM (July 2016), July (3rd Quarter/Summer) 2016.
US20170039295A1, 2017.
“”
US9286381B2, 2016.
“Optimized ontology based internet search systems and methods”
US9262527B2, 2016.
“How to Summarize Big Knowledge Subjects”
International Conference on Biological Ontology & BioCreative, August 2016.
“Professionalize CS Education Now. Letter to the Editor. ”
Communications of the ACM (July 2016), July (3rd Quarter/Summer) 2016.
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Chapter
X. Ji, S. A. Chun, James Geller. 2016. “Knowledge-based tweet classification for disease sentiment monitoring.” Studies in Computational Intelligence pp. 425-454.
Yoo Jung An, Kuo-Chuna Huang, Soon Ae Chun, James Geller. 2012. “A formal approach to evaluating Medical ontology systems using Naturalness.” Innovations in Data Methodologies and Computational Algorithms for Medical Applications pp. 1-18.
James Geller. 2009. “Ontologies and Medical Terminologies.” In John Wang (Eds.), pp. 1463-1469. Hershey, PA, : Encyclopedia of Data Warehousing and Mining, Second Edition, IGI Global, 2009.
X. Zhou, James Geller. 2007. “Raising, to enhance rule mining in Web marketing with the use of an ontology.” Data Mining with Ontologies: Implementations, Findings, and Frameworks pp. 18-36.
James Geller, S. Parikh, S. Krishnan. 2007. “Blog mining for the Fortune 500.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) pp. 379-391.
Yoo Jung An, Kuo-Chuna Huang, Soon Ae Chun, James Geller. 2012. “A formal approach to evaluating Medical ontology systems using Naturalness.” Innovations in Data Methodologies and Computational Algorithms for Medical Applications pp. 1-18.
James Geller. 2009. “Ontologies and Medical Terminologies.” In John Wang (Eds.), pp. 1463-1469. Hershey, PA, : Encyclopedia of Data Warehousing and Mining, Second Edition, IGI Global, 2009.
X. Zhou, James Geller. 2007. “Raising, to enhance rule mining in Web marketing with the use of an ontology.” Data Mining with Ontologies: Implementations, Findings, and Frameworks pp. 18-36.
James Geller, S. Parikh, S. Krishnan. 2007. “Blog mining for the Fortune 500.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) pp. 379-391.
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Book
Xiaoxia Yin, James Geller, Ye Li, Rui Zhou, Hua Wang, Yanchun Zhang. 2016. “Deep self-taught learning for detecting drug abuse risk behavior in tweets.” Lecture Notes in Computer Science Volume 10038 2016 Health Information Science 5th International Conference Proceedings, 2016.
Magazine/Trade Publication
“Beware BYOD”
Communications of the ACM, September 2013.
Communications of the ACM, September 2013.
Translation or Transcription
“How Science Can Ensure Integrity and Quality: A Thesis (Reprinted by Request of Editor)”
Canadian Association of University Teachers Bulletin, April (2nd Quarter/Spring) 2012.
“How Science Can Ensure Integrity and Quality: A Thesis”
Academe, January (1st Quarter/Winter) 2012.
Canadian Association of University Teachers Bulletin, April (2nd Quarter/Spring) 2012.
“How Science Can Ensure Integrity and Quality: A Thesis”
Academe, January (1st Quarter/Winter) 2012.