University of Southern Indiana

Faculty Research

Scott Anderson
Mr. Scott Anderson
Instructor in Computer Science
Coordinator of Computer Science Program
Contact: 812-465-7113
Business and Engineering Center 2044

Website

Refereed Proceedings
Full Paper

  • Yan, G., Shi, H., Anderson, R. S., Srivastava, S., & Foroughi, A. (2017). Multiple Strategies to Boost Online Discrete Mathematics Class. Consortium for Computer Sciences in Colleges.

Non-Refereed Articles

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

Presentation of Refereed Papers
Regional

  • Anderson, S. & Shemroske, K. (2013). 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.
  • Anderson, R. S. (2011). Using Gridworld to Demonstrate Artificial Intelligence Concepts. Consortium for Computer Sciences in Colleges, Huntington, Indiana.
  • Anderson, R. S. & Gestwicki, P. (2011). Hello Worlds: An Introduction to Mobile Application Development for iOS and Android. Consortium for Computer Sciences in Colleges, Huntington, Indiana.
Xue Han
Dr. Xue Han
Assistant Professor of Computer Science
Contact: 812-465-1610
Business and Engineering Center 2039

Website

Refereed Articles

  • Han, X. (2019). Reproducing performance bug reports in server applications: The researchers' experiences. Journal of Systems and Software.

Refereed Proceedings
Full Paper

  • Han, X. (2019). SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces. 2019 34th IEEE/ACM International Conference on Automated Software Engineering.
Srishti Srivastava
Dr. Srishti Srivastava
Assistant Professor of Computer Science
Contact: 812-228-5032
Business and Engineering Center 2085

Website


Refereed Articles

  • Srivastava, S., & Banicescu, I. (2017). Robust resource allocations through performance modeling with stochastic process algebra. Concurrency and Computation: Practice and Experience, Wiley Interscience.
  • Mehrotra, R., Srivastava, S., Banicescu, I., & Abdelwahed, S. (in press, 2016). Towards an autonomic performance management approach for a cloud broker environment using a decomposition-coordination based methodology. Future Generation Computer Systems.
  • Sukhija, N., Malone, B., Srivastava, S., Banicescu, I., & Ciorba, F. M. (in press, 2014). A Learning-based Selection for Portfolio Scheduling of Scientific Applications on Heterogeneous Computing Systems. Journal of Parallel & Cloud Computing.

Refereed Proceedings
Full Paper

  • Srivastava, S., & Banicescu, I. (2018). 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.
  • Srishti, F. (2018). 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, IEEE, 61-68.
  • Srivastava, S., & Banicescu, I. (in press, 2015). Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra. 18th IEEE International Conference on Computational Science and Engineering (CSE-2015).
  • Sukhija, N., Malone, B., Srivastava, S., Banicescu, I., & Ciorba, F. M. (in press, 2014). Portfolio-based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning. 15th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS-ParLearning).
  • Mehrotra, R., Srivastava, S., Banicescu, I., & Abdelwahed, S. (in press, 2014). An Interaction Balance Based Approach for Autonomic Performance Management in Cloud Computing Environment. Lecture Notes in Computer Science (LNCS) series, Springer, PODC, ARMS- CC 2014.
  • Sukhija, N., Srivastava, S., Banicescu, I., & Ciorba, F. M. (in press, 2013). Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load using SimGrid. 14th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS-PDSEC).
  • Srivastava, S., Malone, B., Sukhija, N., Banicescu, I., & Ciorba, F. M. (in press, 2013). Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network. IEEE International Symposium on Parallel and Distributed Computing (ISPDC2013).
  • Srivastava, S., Sukhija, N., Banicescu, I., & Ciorba, F. M. (in press, 2012). Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems. 11th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2012).
  • Srivastava, S., Banicescu, I., Ciorba, F. M., & Nagel, W. E. (in press, 2011). Enhancing the Functionality of a GridSim- Based Scheduler for Effective Use with Large-Scale Scientific Applications. 10th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2011).

Book Chapters
Refereed

  • Srivastava, S., & Banicescu, I. (2018). Scheduling in Parallel and Distributed Computing Systems. In Anshul Gupta, Sushil Prasad, Arny Rosenberg, Alan Sussman, and Chip Weems (Eds.), Topics in Parallel and Distributed Computing: Introducing Concurrency in Undergraduate Courses (pp. 313-337). Springer.
  • Mehrotra, R., Srivastava, S., Banicescu, I., & Abdelwahed, S. (2015). A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment. Handbook on Data Centers. Springer.
  • Banicescu, I., Ciroba, F. M., & Srivastava, S. (2013). Performance Optimization of Scientific Applications using an Autonomic Computing Approach. Scalable Computing: Theory and Practice (pp. 437-466). Wiley & IEEE Computer Society Press.

Presentation of Refereed Papers
International

  • Srivastava, S. & Banicescu, I. (2018, June). 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.

Presentation of Non-Refereed Papers
International

  • Srivastava, S. (2018, November). 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.
  • Srivastava, S. (2018, June). 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.
    National
  • Srivastava, S. (2015, March). 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.

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).
Gongjun Yan
Dr. Gongjun Yan
Associate Professor of Computer Science
Contact: 812-228-5073
Business and Engineering Center 2046

Website


Refereed Articles

  • Yan, G. (2017). A cross-layer and optimized privacy method in vehicular ad-hoc networks. Wireless Personal Communications.
  • Yan, G. (2017). Application of social media analytics: a case of analyzing online hotel reviews. Online Information Review.
  • Yan, G. (2017). Evaluating a optimized backward chaining ontology reasoning system with innovative custom rules. the Information Discovery and Delivery.
  • Yan, G. (2017). Multiple strategies to boost online discrete mathematics class. Journal of Computing Sciences in Colleges.
  • Yan, G. (2017). Vehicle-to-vehicle connectivity analysis for vehicular ad-hoc networks. Ad Hoc Network.
  • Yan, G. (2016). Vehicle-to-vehicle connectivity analysis for vehicular ad-hoc networks. Ad Hoc Networks, 58 (1), 25-35.
  • Yan, G. (2016). Analytically modeling data dissemination in vehicular ad hoc networks. Ad Hoc Networks, 52 (1), 17-27.
  • Yan, G. (2015). A novel social media competitive analytics framework with sentiment benchmarks. Information and Management.
  • Shi, H., Chong, D., Yan, G., & He, W. (2015). A semantic query based approach for management decision making. Journal of Management Analytics,.
  • Yan, G. (2015). A web 3.0 ontology based on similarity: a step toward facilitating learning in the big data age. Journal of Management Analytics.
  • Yan, G. (2015). Trust on the security of wireless vehicular ad-hoc networking. International Journal of Ad Hoc & Sensor Wireless Networks (AHSWN).
  • Yan, G. (2014). Developing vehicular data cloud services in the iot environment. IEEE Transactions on Industrial Informatics (99).
  • Yan, G. (2014). A bilingual approach for conducting chinese and english social media sentiment analysis. Computer Networks.
  • Yan, G. (2014). Altering security perceptions through the use of geo-authentication. Journal of Information Privacy and Security.
  • Yan, G. (2014). Data mining intrusion detection in vehicular ad hoc network. IEICE TRANSACTIONS on Information and Systems.
  • Yan, G. (2014). Developing and applying smartphone apps in online courses. Journal of Information Systems Education.
  • Yan, G. (2014). Enhancing the security of cloud manufactur- ing by restricting resource access. Journal of Homeland Security and Emergency Management.
  • Yan, G. (2014). Mining Blogs and Forums to Understand the Use of Social Media in Customer Co-creation. The Computer Journal.
  • Yan, G. (2014). Mining the use of social media in customer co-creation. The Computer Journal, Special Issue on Mining Social Media for.
  • Yan, G. (2014). Towards providing scalable and robust privacy in vehicular networks. IEEE Transactions on Intelligent Transportation Systems.
  • Yan, G. (2013). A GRAPHICAL MODEL AND SEARCH ALGORITHM BASED QUASI-CYCLIC LOW-DENSITY PARITY-CHECK CODES SCHEME. International Journal of Innovative Computing, 9 (4), 1617-1625.
  • Yan, G. (2013). Rule-based detection of design patterns in program code. International Journal on Software Tools for Technology Transfer., doi: 10.1007/s10009-013-0292-z.
  • Yan, G. (2013). Waiting probability analysis for opportunistic spectrum access. International Journal of Adaptive and Innovative Systems.

Refereed Proceedings
Full Paper

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

Non-Refereed Articles

  • Yan, G. (2019). Oblique projection-based interference suppression for MIMO power line communication. Annals of Telecommunications, 74 (3), 211–221.
  • Yan, G. (2019). Rank and Location Based Security Mechanism for Mobile Networks. International Journal of Signal Processing Systems.
  • Yan, G. (2018). Evaluating an optimized backward chaining ontology reasoning system with innovative custom rules. Information Discovery and Delivery.
  • Yan, G. (2018). Social Media Sentiment and Bank Loan Contracting. Journal of Industrial Integration and Management.

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.

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