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Jin Soung Yoo

Professor, Ph.D.

Department of Computer Science

Purdue University Fort Wayne

About

Dr. Yoo serves as a full Professor in the Department of Computer Science at Purdue University Fort Wayne (PFW). She earned her Ph.D. in Computer Science from the University of Minnesota, Twin Cities in 2007, and also holds an M.S. degree in Computer Science from the same institution. Dr. Yoo completed her Bachelor's degrees in both Computer Science and Statistics from Korea University (Known as Goryeo University in Korea). Before transitioning to academia, she spent seven years as a software engineer at Samsung SDS Co.

 
Email:
yooj@pfw.edu,   jyoo@purdue.edu
Phone:
+1-260-481-6946
Address:
2101 E. Coliseum Blvd, ET 125p, Fort Wayne, IN 46805, U.S.A
Homepage:
http://web.ics.purdue.edu/~jyoo/
Research

Dr. Yoo excels in data and knowledge engineering, emphasizing data mining and its integration with machine learning. Building on her deep understanding of machine learning, she meticulously studies algorithms and models to devise innovative methods tailored for intricate data challenges. Her research ties closely with location-based computing and services. Dedicated to fine-tuning computational processes for efficient data handling and analysis, she formulates robust algorithms and methods that favor data-driven insights and efficient data management. Dr. Yoo also delves deeply into big data analytics, addressing the challenges of our data-rich era. Beyond the technical realm, she's keenly interested in the broader societal benefits of machine learning and Data Science, creating solutions that benefit diverse sectors, from public safety and health to biomedicine, education, and business.

Throughout her career, Dr. Yoo's research endeavors have garnered support from prestigious entities like the U.S. Air Force Office of Scientific Research, the Air Force Research Laboratory, Microsoft, Amazon, Purdue Research Foundation, Griffiss Institute/SUNY Research Foundation, Indiana University, and more. She has had the honor of being a U.S. Air Force faculty fellow and has collaborated as a visiting research faculty at both the Air Force Research Laboratory/Rome Research Site and the Korea Advanced Institute of Science and Technology (KAIST).

Her professional engagements extend to organizing and contributing to numerous international conferences. Dr. Yoo has also dedicated her expertise to reviewing for esteemed journals, including IEEE Transactions on Knowledge and Data Engineering (TKDE) and IEEE Transactions on Knowledge Discovery in Data (TKDD). Moreover, she has been a sought-after reviewer for funding proposals, lending her insights to NSF programs like NSF-CISE/Big Data, NSF-CISE/IIS, NSF-TUSE, and NSF-CCLI, along with other significant government-backed research initiatives.

Publications
Journal Articles
  • J. S. Yoo, D. Boulware, and D. Kimmey, Parallelizing Spatial Co-location Mining with MapReduce and NoSQL Systems, Knowledge and Information Systems (KAIS), Vol. 62, Issue 4, pp 1433 – 1463, 2020
  • J. Park, S. Park, and J. S. Yoo, Finding Characteristics of Exceptional Breast Cancer Subpopulations using Subgroup Mining and Statistical Tests, Expert Systems with Applications, Vol. 118, pp 553-562, 2019
  • J. S. Yoo and M. Mow, A Framework for Generating Condensed Co-location Sets from Spatial Databases, Intelligent Data Analysis, Vol. 23, No. 2, pp. 333 -355, 2019
  • M. Cho and J. S. Yoo, Identifying Successful Students’ Online Learning Patterns With Self-Reported Surveys and Log Files: A Data Mining Approach, Journal of Interactive Learning Environment, Vol. 25, Issue 8, pp 970-982, 2017
  • A. Mustafa, S. Dhawale, J. Park, and J. S. Yoo, The Validation of Effect of Neutraceuticals on Growth and Immune Response Using a Cluster-Based Approach, Journal of Applied Aquaculture, Vol. 25, pp. 132-147, 2013
  • J. S. Yoo and M. Bow, Mining Spatial Colocation Patterns: A Different Framework, Data Mining and Knowledge Discovery, Vol. 24, No. 1, pp.159-194, 2012
  • J. S. Yoo and S. Shekhar, Similarity-profiled Temporal Association Mining, the IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 21, No. 5, pp. 1147-1161, 2009.
  • J. S. Yoo and S. Shekhar, A Join-less Approach for Mining Spatial Co-location Patterns, the IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 18, No. 10, pp. 1323-1337, 2006.
  • J. S. Yoo and S. Shekhar, In-Route Nearest Neighbor Queries, Geoinformatica, Vol. 9, No. 2, pp.117-137, 2005. (Invited from Geoinformatica as the Best Paper of ACM-GIS 2003. Geoinformatica is an International Journal on Advances of Computer Science for GIS, and spatial and spatio-temporal data. )
Conference Proceedings & Book Chapters
  • A. R. Guzman and J. S. Yoo, How Do Socioeconomic Factors Correlate to COVID-19 Cases and Deaths?, In Proceedings of International Conference of DATA ANALYTICS, pp33 - 39, 2021
  • J. S. Yoo, W. Shao, K. Binzani, Spatial Association Patter Mining using In-Memory Computational Framework, In Proceedings of International Conference on Big Data (BigData 2020), September 2020
  • J. S. Yoo, S. Park, A. Raman, Micro-level Incident Analysis using Spatial Association Rule Mining, In Proceedings of IEEE International Conference on Big Knowledge, pp 1-8, November 2019 (Acceptance ratio: around 25%))
  • J. S. Yoo, Crime Data Warehousing and Crime Pattern Discovery, In Proceedings of International Conference on Data Science, E-learning and Information Systems, pp 1 – 6, December 2019 (Acceptance ratio:30%)
  • Y. Woo, J. S. Yoo, RFID Data Warehousing and OLAP with Hive, In Proceedings of IEEE International Conference in Data Science and Computational Intelligence, pp 476-483, 2019 (Acceptance ratio:26%)
  • K. Binzani and J. S. Yoo, Spark-based Spatial Association Mining, In Proceedings of IEEE International Conference on Big Data (IEEE BigData 2018), pp 5300-5301, 2018
  • E. J. Toy, J. V. H. H. Kummaragunta, and J. S. Yoo, Large-Scale Cross-Country Analysis of Steam Popularity, In Proceedings of International Conference on Computational Science and Computational Intelligence (track on Big Data and Data Science), pp1054 – 1058, December 2018.
  • J. S. Yoo and D. L. Kimmey(*), Nowcasting Events from Twitter using a Semi-Supervised Learning Method, In Proceedings of International Conference on Big Data (BigData 2018), pp 91 – 95, 2018
  • J. S. Yoo, Y. Woo(*), J. Park, Mining Course Trajectories of Successful and Failure Students: A Case Study, In Proceedings of IEEE International Conference on Big Knowledge, pp270-275, 2017
  • D. L. Kimmey and J. S. Yoo, Nowcating with Social Media, In Proceedings of IEEE International Conference on Big Data (IEEE BigData 2016), Washington D.C., 2016
  • J. S. Yoo, B. Doulware and D. L. Kimmey, Incremental and Parallel Association Mining for Evolving Spatial Data: A Less Iterative Approach on MapReduce, In Proceedings of ASE International Conference on Big Data (BigData 2014), pp.1-9, December, 2014
  • J. S. Yoo and B. Doulware, Incremental and Parallel Spatial Association Mining, In Proceedings of IEEE International Conference on Big Data (IEEE BigData 2014), pp 75-76, October 2014
  • J. S. Yoo, B. Doulware and D. Kimmey, A Parallel Spatial Co-location Mining Algorithm Based on MapReduce, In Proceedings of International Conference on BigData (BigData 2014), pp25-31, 2014
  • S. J. Park and J. S. Yoo(*), Spatial Association Mining for Focal Events in Cloud Computing, In Proceedings of the International Conference on Advances in Big Data Analytics, pp.157-164, 2014
  • J. S. Yoo and H. Vasudevan, Effectively Updating Co-location Patterns in Evolving Spatial Databases, In Proceedings of International Conference on Pervasive Pattern and Applications (PATTERN 2014), pp 96-99, 2014
  • S. Park and J. S. Yoo, Leveraging Cloud Computing for Spatial Association Mining, In Proceedings of IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC), pp 4152-4153, 2014
  • J. S. Yoo and D. Boulware, A Framework of Spatial Co-location Mining on MapReduce, In Proceedings of IEEE International Conference on Big Data (IEEE BigData 2013), October 2013
  • J. Park, J. S. Yoo and A. Mustafa, A Cluster-based Approach for Biological Hypothesis Testing and its Application, In Proceedings of International Conference on Bioinformatics and Computational Biology, pp.33-38, 2012.
  • J. S. Yoo and M. Cho, Mining Concept Maps to Understand Students’ Learning, In Proceedings of International Conference on Educational Data Mining, pp.184-187, 2012.
  • J. S. Yoo and M. Bow, Mining Top-k Closed Co-location Patterns, In Proceedings of IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, pp.100-105, 2011.
  • J. S. Yoo, Temporal Data Mining: Similarity-Profiled Association Pattern, as a book chapter (Chapter 3) in “DATA MINING: Foundations and Intelligent Paradigms”, Dawan E. Holmes and Lakhmi C. Jain (Eds.), Springer (ISBN: 978-3-642-23165-0), pp.29-47, 2011
  • J. S. Yoo and M. Bow, Mining Maximal Co-located Event sets, In Proceedings of Pacific-Asia International Conference on Knowledge Discovery and Data Mining (PAKDD), pp.351-362, 2011
  • M. Cho, J. S. Yoo, B. Kirkwood, Exploring Concept Maps to Measure How College Students Learn and its Analysis with a Data Mining Technique, American Educational Research Association (AERA) Workshop, 2010
  • J. S. Yoo and M. Bow, Finding N-Most Prevalent Colocated Event Sets, In Proceedings of International Conference on Data Warehousing and Knowledge Discovery (DaWaK), pp.415-427, 2009.
  • N. Mallikarjuna, M. Bow, J. S. Yoo, A. Eracelous, Dependency Analysis Using CART: An Empirical Study with Stock Quote, the 20th Midwest Artificial Intelligence and Cognitive Science Conference (MAICS), pp.160-166, 2009
  • J. S. Yoo and S. Shekhar, Mining Temporal Association Patterns under a Similarity Constraint, In Proceedings of International Conference on Scientific and Statistical Database Management (SSDBM), pp.160-166, 2008
  • J. S. Yoo and J. Hwang, A Framework for Discovering Spatio-Temporal Cohesive Networks, In Proceedings of Pacific-Asia International Conference on Knowledge Discovery and Data Mining (PAKDD), pp.1056-1061, 2008.
  • M. Shankar, A. Sorokine, B. Bhaduri, S. Shekhar and J. S. Yoo, Spatio-Temporal Conceptual Schema Development for Wide-Area Sensor Networks, In Proceedings of International Conference on Geospatial Semantics (GeoS), pp.1056-01061, 2007 (Collaboration with Oak Ridge National Laboratory)
  • M. Celik, S. Shekhar, J. P. Rogers, J. A. Shine and J. S. Yoo, Mixed-Drove Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results , In Proceedings of the IEEE International Conference on Data Mining (ICDM), pp.1322-1335, 2006.
  • J. S. Yoo, S. Shekhar, S. Kim and M. Celik, Discovery of Co-evolving Spatial Event Sets, In Proceedings of the SIAM International Conference on Data Mining (SDM), pp.306-315, 2006.
  • J. S. Yoo, Discovery of Co-evolving Spatial Event Sets: A Summary of Results, University Consortium for Geographic Information Science (UCGIS), 2006.
  • J. S. Yoo and S. Shekhar, A Framework for Mining Co-evolving Spatial Events, the NASA Data Mining Workshop: Issues and Applications in Earth Science, 2006.
  • J. S. Yoo, S. Shekhar and M. Celik, A Join-less Approach for Co-location Pattern Mining: A Summary of Results, In Proceedings of the IEEE International Conference on Data Mining (ICDM), pp.813-816, 2005.
  • J. S. Yoo, P. Zhang and S. Shekhar, Mining Time-Profiled Associations: An Extended Abstract, In Proceedings of the International Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp.136-142, 2005.
  • J. S. Yoo and S. Shekhar, A Partial Join Approach for Mining Co-location Patterns, In Proceedings of the 12th ACM International Symposium on Advances in Geographic Information Systems (ACM-GIS) (The current name is ACM SIGSPATIAL Intl. Conference), pp.241-249, 2004.
  • S. Shekhar, J. S. Yoo, X. Ma and C. Zhou, Next Generation Navigation Systems, in the GIS Development, 2004.
  • S. Shekhar, R. R. Vatsavai, X. Ma and J. S. Yoo, Navigation Systems: A Spatial Database Perspective, as Chapter 3 in the Location Based Services, Agnes Voisard and Jochen Schiller (Eds.), ISBN: 1-55860-929-6, Morgan Kaufmann, New York, 2004.
  • H. Xiong, S. Shekhar, Y. Huang, V. Kumar, X. Ma and J. S. Yoo, A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects, In Proceedings of the SIAM International Conference on Data Mining (SDM), pp78-89, 2004.
  • S. Shekhar and J. S. Yoo (*Corresponding Author), Processing In-Route Nearest Neighbor Queries: A Comparison of Alternative Approaches, In Proceedings of the 11th ACM International Symposium on Advances in Geographic Information Systems (ACM-GIS) (The current name is ACM SIGSPATIAL Intl. Conference), pp.9-16, 2003 (Best Paper Award).
Others
  • J. S. Yoo, Big Data, Analytics, Applications, Connect Magazine, Fall 2017
  • K. Minzani, J. S. Yoo, IPFW Distinguish Journal, Fall 2017.
Teaching
Teaching Courses
  • CS576 Machine Learning
  • ACS577 Knowledge Discovery & Data Mining
  • CS583 Big Data Analytics and Cloud Computing
  • CS475 Introduction to Data Mining
  • ACS575 Database Systems
  • CS365 Advanced Database Systems
  • CS364 Introduction to Database Systems
Resesarch Advising Courses
  • ACS698 Graduate Research Thesis
  • CS590 Topics in Big Data
  • CS590 Topics in Data Science
  • CS590 Topics in Data Mining (/ Spatial Data Mining)
  • CS494 Directed Study (in Database and in Data Science for undergraduates)
Other Teaching Courses
  • CS380 Artificial Intelligence
  • CS331 Introduction to C++ and Object-Oriented Programming
  • CS260 Data Structure
  • IST270 Data & Information Management
Services to Profession
Conference Organizer & Committee Member
  • IEEE International Conference on Data Mining (ICDM), 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023
  • ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM-GIS), 2009 - 2014, 2022, 2023
  • IEEE International Conference on Big Knowledge(ICBK), 2017
  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2008 (Session chair), 2013, 2014, 2015, 2017 (Senior program committee)
  • International Symposium on Spatial and Temporal Databases (SSTD), 2007, 2008, 2011 (Publicity chair), 2015 (Publicity co-chair), and 2017 (Publicity co-chair)
  • International GeoSpatial Science Conference, 2017, 2018
  • International Conference on Database Systems for Advanced Applications (DASFAA) 2016 (Publicity co-chair)
  • International Conferences on Pervasive Patterns and Applications (PATTERNS), 2015, 2016, 2017
  • ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS), 2012, 2013, 2014, 2016
  • International Conference on Advanced Geographic Information Systems, Applications, and Services, 2016
  • International Workshop on Mobile Spatial Information Systems, 2015
  • International Conference on Advances in Databases, Knowledge , and Data Applications (DBKDA), 2009 - 2015
  • IEEE Big Data Congress (IEEE BigData), 2014 (Session chair)
  • International Conference on Smart Systems, Devices and Technologies (SMART), 2012, 2013, 2014
  • Brazilian Symposium on GeoInformatics (GeoInfo), 2012, 2013
  • International Conference on Information and Knowledge Management (CIKM), 2010, 2011
  • International Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM), collocated with IEEE International Conference on Data Mining (ICDM), 2007, 2008 (Program co-chair), 2009 (Proceedings and Publicity co-chair)
  • SIAM International Conference on Data Mining (SDM), 2009
  • International Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2009 (Session chair)
  • International Conference on Database and Expert Systems Applications (DEXA), 2009, 2010
  • International Conference on Information Systems, Technology and Management (ICISTM), 2011
  • Workshop on Social Networks, Applications, and Systems (SNAS), collocated with Int’l Conference on Wireless Algorithms, Systems and Applications, 2009
  • International Conference on Software Engineering Research, Management and Applications (SERA), 2009
  • Midwest Artificial Intelligence and Cognitive Science Conference (MAICS) 2009 (Local organizer, Session chair)
  • International Conference on Scientific and Statistical Database Management (SSDBM), 2008 (Session chair)
  • IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2008
  • IEEE International Workshop on Semantic Aspects in Data Mining (SADM),collocated with IEEE International Conference on Data Mining (ICDM), 2008
  • International Workshop on Spatio-Temporal Data Mining (STDM), collocated with IEEE International Conference on Data Engineering (ICDE), 2007
Journal Article Reviewer
  • IEEE Transactions on Systems, Man and Cybernetics, 2023
  • IEEE Transactions on Knowledge and Data Engineering (TKDE), 2008 – 2013, 2016, 2018, 2019, 2022, 2023
  • ACM Transactions on Intelligent Systems and Technology (TIST), 2012, 2021
  • Knowledge-Based Systems, 2022
  • Artificial Intelligence and Soft Computing, 2022
  • Geo-Information, 2020
  • IEEE Transactions on Mobile Computing, 2018, 2019
  • Wireless Communications and Mobile Computing, 2019
  • Knowledge and Information Systems (KAIS), 2008-2015, 2017, 2018
  • IEEE Transactions on Knowledge Discovery in Data (TKDD), 2010, 2017
  • Journal of Supercomputing, 2018
  • Expert Systems with Applications, 2018
  • Journal of Environmental Science and Technology, 2015
  • GeoInformatica, 2008-2012, 2015
  • Journal of Geographical Systems, 2014
  • Information Science Journal, 2014
  • ACM Transactions on Knowledge Discovery from Data (TKDD), 2010, 2012, 2013
  • Computer in IEEE Computer Society, 2013
  • Journal of Systems and Software, 2012
  • Data and Knowledge Engineering (DKE), 2008, 2009, 2010
  • Distributed and Parallel Databases (DAPD), 2011
Computer Society Affiliations
  • Member, Association for Computing Machinery (ACM) SIGSPATIAL
  • Member, Institute of Electrical and Electronics Engineers (IEEE) Computer Society
  • Member, Association for Computing Machinery (ACM)’s Women in Computing
  • Member, CRA-W (Computing Research Association – Women)
  • Member, STEM-W (PFW’s Women in STEM)
  • Member, Women Faculty Group, Elite Ladies, Purdue University Fort Wayne
  • Member, Korean-American Scientists and Engineers (KSEA)
  • Member, Korean-American Scientists and Engineers – Indiana Chapter (KSEA-Indiana)
  • Member, Korean Computer Scientists and Engineers Association in America (KOCSEA)