Deep learning and iot based remote sensing healthcare
CURRICULUM VITAE
Yugyung Lee, Ph.D.
Professor
URL: www.csee.umkc.edu/~leeyu
Email: leeyu@umkc.edu
June 2018 – Present: Co-Director, NSF IUCRC Center for Big Learning, UMKC.
January 2017 – Present: PhD CS Discipline Coordinator, Computer Science and Informatics School of Computing and Engineering, University of Missouri - Kansas City, MO.
November 1996 - August 1999: Research Staff, Intuitive Interface to Information Systems (I3S) Microelectronics and Computer Technology Corporation (MCC), Austin, TX.
September 1991 - September 1996: Teaching/Research Assistant, New Jersey Institute of Technology, Newark, NJ.
Distinguished Paper Award, American Medical Informatics Association Annual
Symposium (AMIA)
KCP&L Award for MySmartSolar.Edu
Google CS4HS Faculty Award
Research Grants
Pending Grants
IUCRC Center for Big Learning, (NSF CNS #1747751, $749,980, 2/6/2018- 2/7/2023) Role: co-PI. The mission of the CBL is to pioneer in this emerging trend through united and coordinated efforts and deep integration and fusion of broad expertise. Making significant contributions and impacts to the deep learning community on pioneering research and applications to address a broad spectrum of real-world challenges; promoting products and services of the industry in general and our members in particular; the urgently needed education of our next-generation talents with real-world settings and world-class mentors from academia and industry. Our meetings, forums, conferences, planned training, faculty development sessions, and a large number of multidisciplinary DL courses will significantly promote and broaden the research, education, and materialization of DL.
Selected Completed Projects
Software for Developing Consumer Driven Healthcare Solutions
Funding Agency: National Science Foundation (NSF)
Active Mobile Interfaces for Promoting Active Lifestyle
Role: PI
An Intelligent Online System for Enhanced Recruitment of Patients for Clinical Research
Role: PI (Multiple PIs)
Development will maintain focus on features which will be marketable pharmaceutical firms, contract research organizations and clinical trial sites. Such features will speed the recruitment process, enhance retention and also aid in protocol development.
Smart Energy for Smart Life in Green Zones
There are increasing demands to realize socially-aware energy saving and pricing. However, to date, technological gaps exist that prevent achieving such a grand vision, especially in underserved communities and public-domain facilities. The goal of this project is to develop smart energy solutions for smart life particularly targeted for under-represented communities that can realize i) non-intrusive monitoring of energy consumption and behavior at multiple scales, ii) autonomous energy saving mechanisms that are transparent to general users, iii) intelligent prediction of energy costs and expenditures, iv) evaluation of personalized experiences for smart grid-enabled life at both residence and community levels, and v) discovering cost saving opportunities for community facilities.
An Intelligent Online System for Enhanced Recruitment of Patients for Clinical Research
Recruitment and retention of subjects for clinical research is currently an inefficient and time-consuming process in the new drug development industry. This is especially true for the vulnerable populations of individuals with psychiatric disorders. This project aims to develop a prototype for recruitment enhancement with a novel Internet-based system which will proactively engage patients and their caregivers who desire to be informed about clinical trials which might be relevant for their specific diagnoses, disease states and various other characteristics which might determine their likelihood of meeting inclusion/exclusion criteria for specific studies.
Development will maintain focus on features which will be marketable pharmaceutical firms, contract research organizations and clinical trial sites. Such features will speed the recruitment process, enhance retention and also aid in protocol development.
Amount: $540,000
Cardiovascular stent has been exclusively used for the treatment of coronary heart diseases by maintaining steady blood flow, but restenosis is the major adverse symptoms which occurred in clinical application. This research focuses on development of innovative smart cardiovascular stent which can serve as a theranostic device against in-stent restenosis. The smart cardiovascular stent will be equipped with highly sensitive and reliable non-invasive sensors and nitric oxide-eluting carriers. The envisioned wireless blood pressure monitoring system consists of an external portable reader and an implantable device containing a miniature pressure sensor and a telemetry unit.
Amount: $200,000
The primary focus was to develop a creative design paradigm for Service Oriented Architecture (SOA), inspired by ideas from art and film. The project tool and results have a direct impact on software/knowledge engineering communities as guidelines and publications on context-aware service composition for SOA.
Amount: $146,468
This main objective of this project is to perform statistical analysis and discover trends and significant patterns in data from heterogeneous sources such as Hospital Information Management, Health line 7 (HL7), imaging (DICOM), diseases (CPT) databases.
Amount: $ 26,800
This main objective of this project is to develop an ontology-enabled browser that will help its user to acquire new concepts from the Web. The underlying ontological model will be achieved through the ‘peer-group learning’ process. The P2P ontologies infrastructure will be built for collaborative biomedical research.
Amount: $155,753
The project developed several medical information systems including a metadata management system to semantically integrate concepts retrieved from heterogeneous sources into the MAHI data repository using Unified Medical Language System (UMLS), rule-based data cleaning system, HL7 message listening system to support communication between hospital systems.
Amount: $ 21,350
This project focused on developing intelligent data mining models/system to analyze and formulate more precise diagnostic factors for establishing an appropriate relationship between medication and any possible complications.
Funding Source: Google Corporation
Amount: $10,000
Funding Source: Kansas City Power and Light (KCP&L)
Amount: $42,000
Funding Source: 2012 IBM Smarter Planet Faculty Innovation Award
Amount: $10,000
Funding Source: Intel Co.
Amount: $30,000 & Equipment
Funding Source: Prep-KC
Amount: $25,000
Funding Source: Amazon
Amount: $3,000 (Credit for Amazon Cloud Service)
Funding Source: National Science Foundation (NSF) OIS#0538906
Amount: $ 38,520
Funding Source: Computing Research Association-Committee on the Status of Women in Computing Research (CRA-W)/NSF
Amount: $3000
https://scholar.google.com/citations?user=BwE_CWcAAAAJ&hl=en
Peer-reviewed Journal (Full paper)
Shen, F. ST, & Lee, Y. (2018). BioBroker: Knowledge Discovery Framework for Heterogeneous Biomedical Ontologies and Data. Journal of Intelligent Learning Systems and Applications, 10(01), 1. (Impact Factor: 2.14)
Lee, Y, and C. H. Lee. "Augmented reality for personalized nanomedicines." Biotechnology advances (2017) (Impact Factor: 10.597)
W Wang, Y Lee, C. H. Lee: Review: Effects of NO on Stem Cell Therapy, Biotechnology Advances. 33(8): 1685–1696 (2015) (Impact factor 10.5)
Dasgupta, S.ST, Aroor A., Shen F.ST, Lee, Y., 2014, “SMARTSPACE: Multiagent Based Distributed Platform for Semantic Service Discovery", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(7): 805- 821 (2014) (Impact Factor: 2.183) (Corresponding Author)
Acharya, G., Lee, C.H., Lee, Y., 2012. Optimization of Cardiovascular Stent against Restenosis: Factorial Design-Based Statistical Analysis of Polymer Coating Conditions. PLoS ONE 7(8): e43100. doi:10.1371/journal.pone.0043100 (Impact Factor: 3.730) (Corresponding Author)
Wang, W., Lee, Y., Lee, C., 2012. Review: The physiological and computational approaches for atherosclerosis treatment, International Journal of Cardiology (Impact Factor: 4.125)
Lee, Y., Dharmala, K., Lee, C.H., 2007. An Intelligent Data Mining Model Approach for Adverse Effects of Hormone Replacement Therapy, Methods of Information in Medicine, 46(1):5-18 (Impact Factor: 1.472)
Dinakarpandian, D., Lee Y., Vishwanath KST, Lingambhotla, R., 2006. MachineProse: An Ontological Framework for Scientific Assertions, Journal of American Medical Informatics Association (JAMIA) 13(2):220-232 (Impact Factor: 3.974)
Junginger MST and Lee, Y., 2004. A Self-Organizing Publish/Subscribe Middleware for Dynamic Peer-to-Peer Networks, special issue of IEEE Network on Middleware, 18(1), pp. 38 – 43 (Impact Factor: 2.853) (Corresponding Author)
Supekar KST, Patel CST, Lee, Y., 2004. Web Service-based Workflows for Distributed Health Care Enterprises, Informatica - An International Journal of Computing and Informatics, ISSN No.:1540-4471 (Corresponding Author)
Lee, Y., and Geller, J., 2002. Efficient Transitive Closure Reasoning in a Combined Class/Part/Containment Hierarchy, Journal of Knowledge and Information System, 4(3), pp 305-328. (Impact Factor: 2.225) (Corresponding Author)
Lee, Y. and Chong, QST, 2002. Collaborative and Sharable Learning in Multi-agent Systems, Journal of Interacting with Computers, 5(1), pp. 33- 55. (Impact Factor: 1.493) (Corresponding Author)
C.H. Lee and Yugyung Lee. Chapter 8: Collagen based formulations for wound healing applications. In ‘Wound healing biomaterials Vol 2: functional biomaterials’. Elsevier 2015. ISBN-13: 978-1782424567
Niko, D., Hwang, H., Lee, Y., Kim, C., 2011. “Integrating User-generated Content and Spatial Data into Web GIS for Disaster History”. Studies in Computational Intelligence. Springer, 2011.
Kim, J., Park, S., Kim, C., Lee, Y., 2004. The Efficient Web-based Mobile GIS Service System through Reduction of Digital Map, ICCSA 2004, Lecture Notes in Computer Science (LNCS) 3043 ISBN 3-540-22054-2, pp. 410 – 417.
Patel, CST, Supekar, KST, Lee, Y., 2003. A QoS Oriented Framework for Adaptive Management of Web Service based Workflows, Lecture Notes in Computer Science (LNCS), Volume 2736, Springer-Verlag, ISBN 3-540-40806-1, pp. 826 – 835. (Corresponding Author)
Lee, Y. and Geller, J., 2002. Component-based System for Building Collaborative and Sharable Learning Environment, VLDB Web-based Learning workshop, Lecture Notes in Computer Science (LNCS) Volume 2436, Springer-Verlag, pp 203-215 (Corresponding Author)
Supekar, KST, Marwadi, AST, Lee, Y., and Medhi, D., 2002. Fuzzy Rule-based Framework for Medical Record Validation, IEEE IDEAL-2002, Lecture Notes in Computer Science (LNCS) Volume 2412, Springer-Verlag, pp. 447- 453. (Corresponding Author)
Ahmed AlbishriST, Syed Jawad ShahST, and Yugyung Lee, CU-Net: Cascaded U-Net Model for Automated Liver and Lesion Segmentation and Summarization, Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2019) November 18-21, 2019, San Diego, CA, USA
Vijay WalunjST, Gharib GharibiST, Duy HoST, and Yugyung Lee, GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs, Proceedings of 2019 IEEE International Conference on Big Data (IEEE Big Data 2019) December 9-12, 2019, Los Angeles, CA, USA
Gharibi, G. ST, Alanazi, R. ST, & Lee, Y. (2018, December). Automatic Hierarchical Clustering of Static Call Graphs for Program Comprehension. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 4016-4025). IEEE.
Chandrashekar, M. ST, & Lee, Y. (2018, December). MCDD: Multi-class Distribution Model for Large Scale Classification. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 4906-4914). IEEE.
Rohithkumar NagulapatiST, Mayanka ChandrashekarST, and Yugyung Lee. Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery, International Workshop on Healthcare Knowledge Discovery and Management (IHKDM), New York City, NY, USA June 4-7, 2018. (Corresponding Author)
Mayanka ChandrashekarST, Rohithkumar NagulapatiST, and Yugyung Lee. Ontology Mapping Framework with Feature Extraction and Semantic Embedding, International Workshop on Healthcare Knowledge Discovery and Management (IHKDM), New York City, NY, USA June 4-7, 2018. (Corresponding Author)
Velazquez, MatthewST, and Yugyung Lee. "QA diagnostics with visual recognition tracking for accurate trending of Alzheimer." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 622-625. IEEE, 2017. (Corresponding Author)
Velazquez, MatthewST, and Yugyung Lee. "CVRT: Cognitive Visual Recognition Tracker." Healthcare Informatics (ICHI), 2017 IEEE International Conference on. IEEE, 2017. (Corresponding Author)
Shen, FST and Lee, Y.,, SAMAF: Situation Aware Mobile Apps Framework, Thirteenth IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshop on Context and Activity Modeling and Recognition (CoMoRea 2015) 23-27 March 2015, St. Louis, Missouri, USA. (Corresponding Author)
Zhao, SST, Chandrashekar, MST and Lee, Y., Medhi, D., Real-Time Network Anomaly Detection System Using Machine Learning, 11th International Conference on Design of Reliable Communication Networks 2015.
Lee, Y., Katakam, NST, Dinakarpandian, D., Owens, D., VirtualMindTrial: Virtual Clinical Trials for Mental Healthcare, 44th Hawaii International Conference on Systems Science (HICSS-44), 2011. (Corresponding Author)
Lee, Y., Dinakarpandian, D., Katakam, N.ST, Owens, D., MindTrial: An Intelligent System for Clinical Trials, American Medical Informatics Association (AMIA), 2010 Annual Symposiums. (Corresponding Author)
Dasgupta, SST, Bhat, SST, Lee, Y., CAOFES: An Ontological Framework for Web Service Retrieval, The 18th ACM Conference on Information and Knowledge Management (CIKM-09), Hong Kong China, Nov. 2 – 6, 2009. (Acceptance rate: 15%) (Corresponding Author)
Dasgupta, SST, Bhat, SST, Lee, Y., An Abstraction Framework for Service Composition in Event-driven SOA systems, proceedings of International Conference on Web Services (ICWS), Los Angeles, California, July 6 – 10, 2009 (Acceptance rate: 15.6%) (Corresponding Author)
Dasgupta, SST, Bhat, SST, Lee, Y., 2009, SGPS: A Semantic Scheme for Context-Aware Event driven Web Service Similarity, 18th World Wide Web conference (poster), April 20 – 24th Madrid, Spain. (Acceptance rate: 12%) (Corresponding Author)
Leon-Salas, W. D., Lee, Y., Medhi, D., Joint Encryption/Multiple Access for Body Area Sensor Networks, 2008.
Viswanath, VST, Tong, TST, Dinakarpandian, D., Lee, Y., 2006, Ontological Modeling of Transformation in Heart Defect Diagrams, American Medical Informatics Association (AMIA) Annual Symposium, Washington DC, Nov 15 – 19, 2006, pp. 799 - 803 [Nominated for AMIA Distinguished Paper Award] (Corresponding Author)
Vishwanath, KST, Viswanath, VST, Drake, W., Lee, Y., 2005, OntoDiagram: Automatic Diagram Generation for Congenital Heart Defects in Pediatric Cardiology, American Medical Informatics Association (AMIA) Annual Symposium, Washington DC, Oct 22 – 26, 2005 [AMIA Distinguished Paper Award] (Corresponding Author)
Patel, CST, Supekar, KST, Lee, Y., 2004, Provisioning Resilient, Adaptive Web Services-based Workflow: A Semantic Modeling Approach, in Proceedings of 2004 IEEE International Conference on Web Services (ICWS 2004) July 6-9, 2004, San Diego, California. pp. 480 – 487. (Corresponding Author)
Supekar, KST, Patel, CST, Lee, Y., 2004, Web Service-based Workflows for Distributed Health Care Enterprises, Informatica-2004. Information & Communication Technologies in Healthcare Development 3rd Virtual Congress in Internet: March 1st to 30th, 2004 (Corresponding Author)
Patel, CST, Supekar, KST, and Lee, Y., 2003, OntoGenie: Extracting Ontology Instances from WWW, in Proceedings of International Semantic Web Conference (ISWC) Workshop on Human Language Technology for the Semantic Web and Web Services, Sanibel Island, Florida, October 2003, pp. 127 – 130 (Corresponding Author)
Lee, Y., Oh, CST, Park, E.K., 2002, Knowledge Discovery in Peer-to-Peer File Sharing, in Proceedings of ACM Eleventh International Conference on Information and Knowledge (CIKM), pp. 308 – 315 (Corresponding Author)
Junginger, MST and Lee, Y., 2002, The Multi-Ring Topology– High-Performance Group Communication in Peer-to-Peer Networks, Proceeding of IEEE Peer-to-Peer (P2P) Conference, pp. 49 – 56. (Corresponding Author)
Lee, Y., Tak, SST, Park, E. K., Stach, J., 2001, Secure and Sharable Data Warehouse/OLAP Model for E-COMMERCE, In Proceedings of High Performance Computing Symposium (HPC2001), pp.170-177.
Han, Y., and Lee, Y., 2000, Parallel Computation for Managing Transitive Relations, Proceedings of the Twelfth IASTED International Conference on Parallel and Distributed Systems (ICPDS), pp. 37 - 43.
Lee, Y., Ryoo, J. RST, Stach, J., Park, E. K., 2000, Composing Requirements for Goal-oriented System Behaviors using an Extended Form of Use Case, In Proceedings of IEEE Symposium on Application-Specific Systems and Software Engineering Technology (ASSET2000), pp. 91-96 (Invited Paper).
Beard, C., Chen, Q., Kumar, V., Lee, Y., Leon-Salas, D., Rao, P., Smart Energy for Smart Life by E-SAVE, Intel Research and Education Summit, Feb. 2012.
Lee, Y., Patel, CST, Chun, S., Geller, J., 2004 Compositional Knowledge Management for Medical Services on Semantic Web, WWW-04 2004: 498-499. (Corresponding Author)
Ayoub R ST, Lee Y. Protein structure search to support the development of protein structure prediction methods. BMC Bioinformatics, 2019 (In Review)
Chandrashekar, M. ST, & Lee, Y, CRL: Class Representative Learning for Image Classification”, The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 (In Review)
DeepLite: An Intelligent Platform for IoT, NSF CBL Kick-off Meeting, May 31 - June 1, 2018, Gainesville, FL
DeepRecommender: Deep Recommendation using Conditional Generative Adversarial Nets, NSF CBL Kick-off Meeting, May 31 - June 1, 2018, Gainesville, FL
Self-Growing and Transforming Smart Big Data through Intelligent IoT, NSF CBL Planning Meeting, March 8-9, 2017, Gainesville, FL
Immersive Intelligence with Deep Learning for Monitoring Disease Progress, NSF CBL Planning Meeting, March 8-9, 2017, Gainesville, FL
UMKC Hackathon, Primary role for organization (Sponsored by VinSolution, IBM, Cerner, DST, Ericsson, Cerner, etc), 2013 – Current
Intel Research and Teaching Summit, 2012 & 2013
NCWIT (National Center for Woman and Information Technology)
MINK WIC (Missouri, Iowa, Nebraska, Kanas Women in Computing)
Raj Marri (2019 – Present) Deep Learning and Edge Computing
Buddi, Siva Ayyappa Kumar (2019 – Present) Text Classification using Deep Learning
Zeenat Tariq (2018 – Present) Deep Audio Classification
Jawad Shah (2018 – Present), Best PhD Student Award, Deep Learning for Human Computer Communication using EEG
Saria Goudarzvand (2017 – Present) Deep Topic Modeling
Rohithkumar Nagulapati (2017 – Present) 3D Deep Learning
Graduated PhD Students
Feichen Shen (2012 – 2016) Dissertation Advisor, University Research Fellowship, Best PhD Student Award, Nomination for UMKC Best Dissertation Award, “A Graph Analytics Framework for Knowledge Discovery” (graduated in 2016, Working for Mayo Clinic as Research Associate)
Sourav Jana (2010 - 2013) Dissertation Advisor, Transferred to industrial position
Narendranadh Jabisetti (2004 – 2005) Dissertation Advisor, Transferred to industrial position
Vasil Slavov (2013 – 2015) Dissertation Committee
Danny (Daehee) Kim, (2013 – 2015, May) Dissertation Committee
Dzingirai Murambadoro (2005 – 2011) Dissertation Committee, Geosciences
Nitin Prabhu (2000 – 2006) Dissertation Committee
Trinadha Rajeswari Muppala, Identifying User Personality and Topics of Social Media, November 2019
Ruthvic Punyamurtula, KB4DL: Building a Knowledge Base for Deep Learning, May 3rd, 2019
Rashmi Tripathi,SAF-DL: Semantic Analytics Framework for Deep Learning Open Source Projects, April 26, 2018
Ahmed Awad Albishri, Brain Image Segmentation Using Deep Learning, April 25, 2018.
Marmik Kumar N. Patel, H3DNET: A Hierarchical Deep Learning Framework For 3D Object Classification, Dec. 2017
Manikanta Maddula, DL-DI: A Deep Learning Framework for Distributed Incremental Image Classification, 2017
Guru Teja Mannava, iHear: Lightweight Machine Learning Engine with Context Aware Recognition Model, 2016
Sravani Punyamurthula, Dynamic Model Generation & Semantic Search for Open Source Projects Using Big Data Analytics, 2015
Yashwanth Rao Dannamaneni, Master Thesis Advisor, Semantic Code Search and Analysis for Open Source Projects, May 2014
Anudeep Perasani, Master Thesis Advisor, Distributed RDF Query Processing and Reasoning for Big Data / Linked Data, May 2014
Feichen Shen, Master Thesis Advisor, SAMAF: Situation Aware Mobile Apps Framework, August 2012
Teja Swaroop Mylavarapu, Master Thesis Advisor, SOCIALBRIDGE: An Integrated Social Network for Searching and Connecting People, May 2012
Satish Bhat, Master Thesis Advisor, SeWS: A Semantic Framework for Web Service Management, MS Thesis, Nomination for UMKC Best Thesis Award, 8-6-2010.
Zheng Jia, Master Thesis Advisor, Open VideoBase: A Semantic Framework for Video Social Network, MS Thesis, 7-2-2010.
Sushil Puradkar, Master Thesis Advisor, Context aware service discovery and composition for Pervasive computing, MS Thesis, 2006.
Madhura Maideo, Master Thesis Advisor, A Semantic Framework for Context-Aware Data Mining, MS Thesis, 12-07-2005.
Markus Junginger, A high Performance Messaging System for Peer-to-Peer Networks, MS Thesis, May 2003
Kaustubh Supekar, CoCo: Framework to Facilitate Scientific Collaboration on the Semantic Web, MS Thesis, Oct. 2003.
Dasgupta Aditi Hierarchical Agent System for Peer-to-Peer Resource Discovery, Fall, 2002.
Anup Marward, Metadata Management in Distributed Medical Databases, Fall, 2002.
Younki Cho, Framework for Efficient Resource Management in Collaboration and Distributive Computing Environment, Master of Science thesis, December, 2000
Master Thesis Committee
Varun Narisetty, Integrating Features in the Development of Software Product Line Architecture, May 6, 2015
Li Wang, Classification of Clinical Tweets using Apache Mahout, January 2015.
Sharika Krishna Kumar, Design of a Wireless Platform for Wearable and Home Automation Applications, Master Thesis Committee, July 2012
Vasil Slavov, A Study of Internet-Scale Cardinality Estimation Algorithms for XPath Queries, Master Thesis Committee, July 2012.
Debargh Acharya, SECURITY IN PERVASIVE HEALTHCARE USING LOCATION BASED KEY GENERATION SCHEMES, July 18, 2011
Prashant Sunkari, INFOKIOSK: AN INFORMATION KIOSK WITH TEXT-FREE USER INTERFACE, Dec. 2010
John Joseph Howard, Master Committee, Benchmark, Thesis Committee, 06-29-2007.
Venetia Raheja, Master Committee, 12-15-2006.
Deepti Agarwal, Master Committee, Roaming Decisions: Decision Support System Architecture for Smart Devices using Predefined Models, 10-14-2005.
Hangmei Lin, Master Committee, Studies on Modeling of Mutual Coupling Linear Dipole, Array, 05-06-2005.
PhD and MS Thesis Courses
CSEE5690 Research Method and Experimental Design
CSEE5590 Deep Learning Programming
CSEE5590 IoT/Cognitive Robotics Programming
2014 - 2017 Summer
CS 5560 Knowledge Discovery and Management
CS 5590VC Mobile Cloud Computing (New Course)
CS 5551 Advanced Software Engineering
Fall 2019, CSEE5690 Recent Advances in Deep Learning
Spring 2019, CSEE5590-0005 Intelligent Cybersecurity Programming
Fall 2014, SCI 5590RA Real-Time Big Data Analytics
Summer 2014, SCI 5590BD Big Data Analytics and Apps
Fall 2008, SCI 5590L, Complex Systems & Adaptive Computing
Summer 2008, SCI 4490/5590VC, Virtual Worlds in Computing, NSF Funded
Winter 2004: CS560: Knowledge Management and Discovery
Winter 2003: CS690L: Data Mining and Knowledge Discovery: Theory, Tools, and Technology
CSEE Tenure & Promotion Committee
CSEE Graduate DPC Member
CSEE PhD Quality Evaluation Committee
School of Computing and Engineering
Faculty Senate, 2014 - Current
IPhD Coordinator (CS Discipline), 2014 - Current
Memberships on editorial boards
International Journal of Next-Generation Computing (IJNGC)
IEEE Region 5 Conference co-Chair (2009)
MDM Conference Proceeding Chair (2009 – 2010)
Missouri, Iowa, Nebraska, Kanas Women in Computing (MINK WIC) Committee
KC-Bancs (STEM Education) External Committee
The Scientific World Journal
JCSE Journal Manuscript
Data Knowledge Engineering
International Journal of Geo-information
CIKM conference
