Faculty Research

Non-Refereed Articles

• Anderson, R. Scott and Carolyn Rusk, "New Indiana Eminent Domain Bill Will Make Economic Development Projects More Difficult." Evansville Business Journal (2006).
• Anderson, Scott, "Quantifying the Retirement Decision - A Case Study." Evansville Business Journal (2006).

Refereed Proceedings
Full Paper

• Yan, Gongjun, Hui Shi, Richard Scott Anderson, Srishti Srivastava, & Abbas Foroughi, "Multiple Strategies to Boost Online Discrete Mathematics Class." Consortium for Computer Sciences in Colleges (2017).

Presentation of Refereed Papers
Regional

• Anderson, Scott and Kenneth Shemroske. A Design and Implementation of a Resource-Constrained Computer Science Program in a Combined CS/CIS Department. Consortium for Computer Sciences in Colleges, Kansas City, Missouri, 2013.
• Anderson, Richard S. Using Gridworld to Demonstrate Artificial Intelligence Concepts. Consortium for Computer Sciences in Colleges, Huntington, Indiana, 2011.
• Anderson, Richard and Paul Gestwicki. Hello Worlds: An Introduction to Mobile Application Development for iOS and Android. Consortium for Computer Sciences in Colleges, Huntington, Indiana, 2011.

Honors, Awards, and Scholarships

• 2020: IndianaComputes!, Indiana Department of Education. Develop program and instruct K-12 educators in the State of Indiana. Consortium of 14 universities in Indiana.
• 2020: Romain College of Business Faculty Summer Fellowship Grant, Romain College of Business. Develop and conduct one-week-long, online summer camps for middle school and high school students.
• 2006: College of Business. College of Business Community-Based Faculty Engagement Fellowship.

Dr. Xue Han

Assistant Professor of Computer Science
Contact: 812-465-1610
Business and Engineering Center 2044
Email
Website

Published Articles in Refereed Journals

• Han, Xue, "Context-Aware Debugging for Concurrent Programs." Journal of Systems and Software (2020).
• Han, Xue, "Reproducing performance bug reports in server applications: The researchers' experiences." Journal of Systems and Software (2019).
• Han, Xue, "Conpredictor: concurrency defect prediction in real-world applications." IEEE Transactions on Software Engineering (2018).

Refereed Proceedings
Full Paper

• Han, Xue, "ConfProf: White-Box Performance Profiling of Configuration Options." (in press) 12th ACM International Conference on Performance Engineering (2020).
• Han, Xue, "SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces." 2019 34th IEEE/ACM International Conference on Automated Software Engineering (2019).
• Han, Xue, "PerfLearner: learning from bug reports to understand and generate performance test frames." 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) (2018).
• Han, Xue, "Predicting testability of concurrent programs." 2016 IEEE International Conference on Software Testing, Verification and Validation (ICST) (2016).
• Han, Xue, "An empirical study on performance bugs for highly configurable software systems." 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (2016).
• Han, Xue, "Measuring Requirement Quality to Predict Testability." 2015 IEEE Second International Workshop on Artificial Intelligence for Requirements Engineering (AIRE) (2015).

Presentation of Refereed Papers
International

• Han, Xue Reproducing performance bug reports in server applications: The researchers' experiences. The 35th IEEE/ACM International Conference on Automated Software Engineering, Melbourne, Australia, 2020.

Research Grants
Funded

• 2021: Han, X. Faculty Research and Creative Work grant proposal, A Systematic Mapping Study of Software Performance Research, Principal Investigator, the Office of Sponsored Projects and Research Administration (OSPRA), USI.

Honors, Awards, and Scholarships

• 2020: RCOB Summer Research Scholarships, RCOB.

Dr. Srishti Srivastava

Associate Professor of Computer Science
Contact: 812-228-5032
Business and Engineering Center 2085
Email
Website

Published Articles in Refereed Journals

• Srivastava, Srishti and Ioana Banicescu, "Robust resource allocations through performance modeling with stochastic process algebra." Concurrency and Computation: Practice and Experience, Wiley Interscience (2017).

Refereed Proceedings
Full Paper

• Srivastava, Srishti, Ioana Banicescu, and William Sanders, "Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling." IEEE PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE 2020 (2020).
• Sanders, William S., Srishti Srivastava, and Ioana Banicescu, "Robustness Analysis of Scaled Resource Allocation Models Using the Imperial PEPA Compiler." 19th International Symposium on Parallel and Distributed Computing, ISPDC 2020 (2020).
• Sanders, William S., Srishti Srivastava, and Ioana Banicescu, "A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing Systems." IEEE Proceedings of the International Parallel and Distributed Processing Symposium, IPDPSW 2019 (2019).
• Srivastava, Srishti, Mary L. Smith, Amrita Ghimire, and Shaun Gao, "Assessing the Integration of Parallel and Distributed Computing in Early Undergraduate Computer Science Curriculum using Unplugged Activities." 2019 IEEE/ACM Super Computing Conference Workshop on Education for High-Performance Computing, EduHPC@SC 2019 (2019).
• Srivastava, Srishti and Mary L. Smith, "Evaluating Student Engagement towards Integrating Parallel and Distributed Computing (PDC) Topics in Undergraduate Level Computer Science Curriculum." Proceedings of the 50th ACM Technical Symposium on Computer Science Education, SIGCSE 2019 (2019).
• Srivastava, Srishti and Ioana Banicescu, "PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability." 17th IEEE International Symposium on Parallel and Distributed Computing (ISPDC), Geneva, Switzerland, 2018 (2018).
• Srishti, Fnu, "PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability." 17th IEEE International Symposium on Parallel and Distributed Computing (ISPDC), Geneva, Switzerland, 2018 (2018): 61-68.
• Srivastava, Srishti and Ioana Banicescu, "Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra." (in press) 18th IEEE International Conference on Computational Science and Engineering (CSE-2015) (2015).
• Sukhija, Nitin, Brandon Malone, Srishti Srivastava, Ioana Banicescu, & Florina M Ciorba, "Portfolio-based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning." (in press) 15th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS-ParLearning) (2014).
• Mehrotra, Rajat, Srishti Srivastava, Ioana Banicescu, and Sherif Abdelwahed, "An Interaction Balance Based Approach for Autonomic Performance Management in Cloud Computing Environment." (in press) Lecture Notes in Computer Science (LNCS) series, Springer, PODC, ARMS- CC 2014 (2014).
• Sukhija, Nitin, Srishti Srivastava, Ioana Banicescu, and Florina M Ciorba, "Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load using SimGrid." (in press) 14th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS-PDSEC) (2013).
• Srivastava, Srishti, Brandon Malone, Nitin Sukhija, Ioana Banicescu, & Florina M Ciorba, "Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network." (in press) IEEE International Symposium on Parallel and Distributed Computing (ISPDC2013) (2013).
• Srivastava, Srishti, Nitin Sukhija, Ioana Banicescu, and Florina M Ciorba, "Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems." (in press) 11th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2012) (2012).
• Srivastava, Srishti, Ioana Banicescu, Florina M Ciorba, and Wolfgang E Nagel, "Enhancing the Functionality of a GridSim- Based Scheduler for Effective Use with Large-Scale Scientific Applications." (in press) 10th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2011) (2011).

Book Chapters
Refereed

• Srivastava, Srishti and Ioana Banicescu, "Scheduling in Parallel and Distributed Computing Systems.", Topics in Parallel and Distributed Computing: Introducing Concurrency in Undergraduate Courses. Springer, 2018.
• Mehrotra, Rajat , Srishti Srivastava, Ioana Banicescu, and Sherif Abdelwahed, "A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment.", Handbook on Data Centers. Springer, 2015.
• Banicescu, Ioana , Florina Ciroba, and Srishti Srivastava, "Performance Optimization of Scientific Applications using an Autonomic Computing Approach.", Scalable Computing: Theory and Practice. Wiley & IEEE Computer Society Press, 2013.

Presentation of Refereed Papers
International

• Srivastava, Srishti and Ioana Banicescu. PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability. 17th IEEE International Symposium on Parallel and Distributed Computing (ISPDC), Geneva, Switzerland, 2018, Geneva, Switzerland, June 2018.

Presentation of Non-Refereed Papers
International

• Srivastava, Srishti An Analysis of Stochastic Process Algebra Models of Resource Allocations in Parallel and Distributed Computing. Invited presentation at Department of Computer Science and Engineering Seminar Series, Indian Institute of Technology Kanpur, India, Kanpur, India, November 2018.
• Srivastava, Srishti An Introduction to Fundamentals of Parallel Computing at University of Southern Indiana. Invited presentation at Workshop on Teaching Parallel, Distributed and High Performance Computing: experiences, Tools and Technologies, IEEE International Symposium on Parallel and Distributed Computing (ISPDC-2018), Geneva, Switzerland, June 2018.

National

• Srivastava, Srishti Evaluating the Robustness of Resource Allocations Obtained through Performance Modeling with Stochastic Process Algebra. Invited presentation at Seminar at Oak Ridge National Lab (ORNL), Oak Ridge, Tennessee, March 2015.

Research Grants
Funded

• 2018: Srivastava, S. NSF Center for Parallel and Distributed Computing Curriculum Development and Educational Resources PDC Curriculum Early Adopter Grant, Principal Investigator, GOV-National Science Foundation (NSF).

Honors, Awards, and Scholarships

• 2014: Best Paper Award, International Association of Engineers World Conference on Engineering.
• 2014: Best Paper Award, IEEE/ACM International Symposium on Parallel and Distributed Computing.
• 2014: Selected Young Scientist at Heidelberg Laureate Forum, Heidelberg Laureate Forum, Germany.
• 2012: Outstanding Female Graduate Student Scholarship, Mississippi State University.
• 2011: Best Paper Award, IEEE/ACM International Symposium on Parallel and Distributed Computing.

Dr. Gongjun Yan

Associate Professor of Computer Science
Contact: 812-228-5073
Business and Engineering Center 2046
Email
Website

Published Articles in Refereed Journals

• Yan, Gongjun, "Oblique projection-based interference suppression for MIMO power line communication." Annals of Telecommunications 74. (2019): 211–221.
• Yan, Gongjun, "Rank and Location Based Security Mechanism for Mobile Networks." International Journal of Signal Processing Systems (2019).
• Yan, Gongjun, "Evaluating an optimized backward chaining ontology reasoning system with innovative custom rules." Information Discovery and Delivery (2018).
• Yan, Gongjun, "Social Media Sentiment and Bank Loan Contracting." Journal of Industrial Integration and Management (2018).
• Yan, Gongjun, "A cross-layer and optimized privacy method in vehicular ad-hoc networks." Wireless Personal Communications (2017).
• Yan, Gongjun, "Application of social media analytics: a case of analyzing online hotel reviews." Online Information Review (2017).
• Yan, Gongjun, "Evaluating a optimized backward chaining ontology reasoning system with innovative custom rules." the Information Discovery and Delivery (2017).
• Yan, Gongjun, "Multiple strategies to boost online discrete mathematics class." Journal of Computing Sciences in Colleges (2017).
• Yan, Gongjun, "Vehicle-to-vehicle connectivity analysis for vehicular ad-hoc networks." Ad Hoc Network (2017).
• Yan, Gongjun, "Vehicle-to-vehicle connectivity analysis for vehicular ad-hoc networks." Ad Hoc Networks 58. (2016): 25-35.
• Yan, Gongjun, "Analytically modeling data dissemination in vehicular ad hoc networks." Ad Hoc Networks 52. (2016): 17-27.
• Yan, Gongjun, "A novel social media competitive analytics framework with sentiment benchmarks." Information and Management (2015).
• Shi, Hui , Dazhi Chong, Gongjun Yan, and Wu He, "A semantic query based approach for management decision making." Journal of Management Analytics, (2015).
• Yan, Gongjun, "A web 3.0 ontology based on similarity: a step toward facilitating learning in the big data age." Journal of Management Analytics (2015).
• Yan, Gongjun, "Trust on the security of wireless vehicular ad-hoc networking." International Journal of Ad Hoc & Sensor Wireless Networks (AHSWN) (2015).
• Yan, Gongjun, "Developing vehicular data cloud services in the iot environment." IEEE Transactions on Industrial Informatics (2014).
• Yan, Gongjun, "A bilingual approach for conducting chinese and english social media sentiment analysis." Computer Networks (2014).
• Yan, Gongjun, "Altering security perceptions through the use of geo-authentication." Journal of Information Privacy and Security (2014).
• Yan, Gongjun, "Data mining intrusion detection in vehicular ad hoc network." IEICE TRANSACTIONS on Information and Systems (2014).
• Yan, Gongjun, "Developing and applying smartphone apps in online courses." Journal of Information Systems Education (2014).
• Yan, Gongjun, "Enhancing the security of cloud manufactur- ing by restricting resource access." Journal of Homeland Security and Emergency Management (2014).
• Yan, Gongjun, "Mining Blogs and Forums to Understand the Use of Social Media in Customer Co-creation." The Computer Journal (2014).
• Yan, Gongjun, "Mining the use of social media in customer co-creation." The Computer Journal, Special Issue on Mining Social Media for (2014).
• Yan, Gongjun, "Towards providing scalable and robust privacy in vehicular networks." IEEE Transactions on Intelligent Transportation Systems (2014).
• Yan, Gongjun, "A GRAPHICAL MODEL AND SEARCH ALGORITHM BASED QUASI-CYCLIC LOW-DENSITY PARITY-CHECK CODES SCHEME." International Journal of Innovative Computing 9. (2013): 1617-1625.
• Yan, Gongjun, "Rule-based detection of design patterns in program code." International Journal on Software Tools for Technology Transfer (2013).
• Yan, Gongjun, "Waiting probability analysis for opportunistic spectrum access." International Journal of Adaptive and Innovative Systems (2013).

Refereed Proceedings
Full Paper

• Yan, Gongjun, "Mining e-commerce satisfaction sentiment through a bilingual model." Proceedings of the ICDDM 2017 (2017).
• Yan, Gongjun, "Backward chaining ontology reasoning systems with custom rules." the 25th International Conference Companion on World Wide Web (2016).
• Yan, Gongjun, "Securing vehicular ad-hoc networks from data falsication attacks." the IEEE TENCON 2016. the IEEE TENCON 2016 (2016).
• Yan, Gongjun, "Towards intelligent transportation cyber-physical systems: Real-time computing and communications perspectives." IEEE SoutheastCon 2015 (2015).
• Yan, Gongjun, "Vehicle-to-vehicle connectivity and communication framework for vehicular ad-hoc networks." the 8th International Conference on Complex, Intelligent, and Software Intensive Systems (2014).
• Yan, Gongjun , "Mining vehicular data in vanet." the IEEE TENCON 2013, Xi'an China (2013).

Non-Refereed Proceedings
Full Paper

• Yan, Gongjun , "Examining the use of social media in customer co-creation: A blog mining study." the Nineteenth Americas Conference on Information Systems (2013).

Abstract Only

• Yan, Gongjun, "Preserving World War II History by Innovation Information Services." (in press) National Conference on Undergraduate Research (2014).
• Yan, Gongjun , "Boosting Information Services for Tri-State Minority Organization." (in press) National Conference on Undergraduate Research (2014).

Research Grants
Funded

• 2016: Yan, G. Research on Interaction Techniques in a 3D Virtual Reality Environment, Co-Principal Investigator.
• 2015: Yan, G. Improving Transportation Safety by Eyetracking, Principal Investigator.
• 2014: Yan, G. USI Summer Research Award for Junior Faculty, Principal Investigator.
• 2014: Yan, G. The Faculty Stipend for Online Course Development Program, Principal Investigator.