Doina Bein

Department of Computer Science, California State University, USA

Associate Professor

Email: dbein@fullerton.edu

Qualifications

2006 Ph.D., University of Nevada, USA, Computer Science

2001 M.S., University of Nevada, USA, Computer Science

1996 B.A., Al. I. Cuza University, Romania, Computer Science

Publications (Selected)

1. P. Joshi and D. Bein, “Audible Code, a Voice-Enabled Programming Extension of Visual Studio Code”, accepted at ITNG 2020
2. S. Anand, D. Bein, J. Andro-Vasko, and W. Bein, “SpeakOut, a Web App for Online Therapy and Web Counseling”, accepted at ITNG 2020
3. J. Estabillo, D. Lee, C. Ly, G. Orozco, D. Bein, S. Kurwadkar, J. Huang, and Y. Bai, “Using Projects on Clustering and Linear Regression to Develop Basic Research Skills in Freshmen and Sophomore Undergraduate Students”, accepted at ITNG 2020
4. A. Ahmed, L. Macias, M. McCune, M. Medina, G. Orozco, D. Bein, S. Kurwadkar, J. Huang, O. Daescu, D. Xu, and Y. Bai, “Initiating Research Skills in Undergraduate Students through Data Science Projects”, accepted at ITNG 2020
5. D. Tu, D. Bein, and M. Gofman, “Designing a Unity Game Using the Haptic Feedback Gloves, VMG 30 Plus”, accepted at ITNG 2020
6. C. Vielma, A. Verma, and D. Bein, “Single and Multibranch CNN-Bidirectional LSTM for IMDb Sentiment Analysis”, accepted at ITNG 2020
7. P. K. Bhullar, C. Vielma, D. Bein, and V. Popa (2019) MeasureOP- Sentiment Analysis of Movies Text Data. In: S. Latifi (Editor) Information Technology - New Generations. Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, Springer International Publishing, Cham, vol. 800, pages 557-562
8. R. Obidah and D. Bein (2019) Game based learning using Unreal Engine. In: S. Latifi (Editor) Information Technology - New Generations. Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, Springer International Publishing, Cham, vol. 800, pages 513-519
9. J. M. Narra, D. Bein, and V. Popa (2018) Business Intelligence Dashboard Application for Insurance Cross Selling. In: S. Latifi (Editor) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol. 738, pages 427-432
10. N. R. Prabhu, J. Andro-Vasko, D. Bein and W. Bein (2018) Music Genre Classification using Data Mining and Machine Learning. In: S. Latifi (Editor) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol. 738, pages 397-403
11. N. Nguyen, D. Bein (2018) Evaluating Assignments Using Grading App. In: S. Latifi (Editor) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol. 558, DOI: 10.1007/978-3-319-54978-1_108, pages 871-875.
12. R. Cheruku, D. Bein, W. Bein, V. Popa (2018) Recruitment Drive Application. In: S. Latifi (Editor) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol. 558, DOI: 10.1007/978-3-319-54978-1_108, pages 865-870.
13. Nistor M.S., Bein D., Teodorescu H.N., Pickl S.W. (2018) Finding the Maximal Day-Time Dependent Component of a Subway System. In: Cassenti D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham, pages 562–572
14. Nistor M.S., Bein D., Bein W., Dehmer M., Pickl S. (2017) Time-Based Estimation of Vulnerable Points in the Munich Subway Network. In: Dörner K., Ljubic I., Pflug G., Tragler G. (eds) Operations Research Proceedings 2015. Operations Research Proceedings (GOR (Gesellschaft für Operations Research e.V.)). Springer, Cham
15. W. Bein and D. Bein, “Fault Tolerance and Transmission Reliability in Wireless Networks”, in Scalable Computing: Theory and Practice, John Wiley & Sons, S. U. Khan, L. Wang, and A. Y. Zomaya (Eds), January 29, 2013, pages 227-256.
16. B. Babadi, D. Bein, B.B. Madan, S. Phoha, V. Tarokh, and Y. Wen, “Improving Target Localization and Tracking by Dynamically Prioritized Frequency Band Allocation for Wireless Sensor Networks in Urban Environments,” in Distributed Sensor Networks, Second Edition: Sensor Networking and Applications, Chapman and Hall/CRC, S. S. Iyengar and R. R. Brooks (Eds), September 24, 2012, pages 499-514.
17. S. Phoha, D. Bein, Y. Wen, B.B. Madan, and A. Ray, “Dynamically Adaptive Multi-Modal Sensor Fusion in Urban Environments,” in Distributed Sensor Networks, Second Edition: Sensor Networking and Applications, Chapman and Hall/CRC, S. S. Iyengar and R. R. Brooks (Eds), September 24, 2012, pages 551-576.
18. D. Bein, “Self-configuring, self-organizing, and self-healing schemes in MANETs”, chapter 2 in Guide to Wireless Ad Hoc Networks, S. Misra, I. Woungang, and S. C. Misra (Eds), series Computer Communications and Networks, DOI 10.1007/978-1-84800-328-6 2, Springer-Verlag (London), pages 27-41, 2009.
19. D. Bein, “Self-organizing and self-healing schemes in WSNs”, chapter 11 in Guide to Wireless Sensor Networks, S. Misra, I. Woungang, and S. C. Misra (Eds), Springer, series Computer Communications and Networks, DOI 10.1007/978-1-84882-218-4 11, Springer-Verlag (London), pages 293-308, 2009.