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)
-
P. Joshi and D. Bein, “Audible Code, a Voice-Enabled Programming Extension of Visual Studio Code”, accepted at ITNG 2020
-
S. Anand, D. Bein, J. Andro-Vasko, and W. Bein, “SpeakOut, a Web App for Online Therapy and Web Counseling”, accepted at ITNG 2020
-
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
-
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
-
D. Tu, D. Bein, and M. Gofman, “Designing a Unity Game Using the Haptic Feedback Gloves, VMG 30 Plus”, accepted at ITNG 2020
-
C. Vielma, A. Verma, and D. Bein, “Single and Multibranch CNN-Bidirectional LSTM for IMDb Sentiment Analysis”, accepted at ITNG 2020
-
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
-
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
-
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
-
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
-
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.
-
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.
-
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
-
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
-
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.
-
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.
-
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.
-
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.
-
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.