St. Bonaventure University

School of Arts & Sciences Faculty

Alshinina, Remah A.


Computer Science
School of Arts and Sciences

Assistant Professor, Computer Science
Walsh Science Center 112
  • CS 243. Database Management Systems
  • CS 131. Computer Science
  • ICPEG 561. Network Security
  • CPEG 472. Computer Networks
  • CS 311. Computer Architecture
  • CPSC 502. Analysis Algorithm
  • Ph.D. in Computer Science and Engineering, University of Bridgeport, 2018.
  • M.S., Southern New Hampshire University
  • B.S., King AbdulAziz University

My experience in teaching began as a graduate student at the University of Bridgeport, where I served as a teaching assistant (TA) for various courses. Not only did I assist the instructors in the assignments and projects, I also taught lectures to the class in the instructor’s absence.

In classrooms, along with traditional lectures, I also engage students in active-collaborative learning where each student participates in discussions.

I have been a tutor for undergraduate and graduate students at the Graduate and Research Resource Center (GRRC) at the University of Bridgeport since August 2015. I assist and mentor individual students as well as student groups in their design projects and research assignments.

As a part of my tutoring duties, each year I attended seminars and group work on teaching. The emphasis was not on ready-made solutions, but on the introduction and discussion of important student issues.


Journal Publications

  • Remah Alshinina and Khaled Elleithy. “A Highly Accurate Deep Learning Based Approach for Developing Wireless Sensor Network Middleware“ IEEE Access 2018
  • Alshinina, R.; Elleithy, K. Performance and challenges of service-oriented architecture for wireless sensor networks. Sensors 2017, 17, 536.doi:10.3390/s17030536

Conference Publications and Presentations

  • Remah Alshinina and Khaled Elleithy “A Highly Accurate Machine Learning Approach for Developing Wireless Sensor Network Middleware” Faculty Research Day (FRD), University of Bridgeport, March 2018.
  • Remah Alshinina and Khaled Elleithy “Efficient Machine Learning Approach for Wireless Sensor Network Middleware” American Society for Engineering Education (ASEE), University of Hartford, CT, April 2018. 
  • Remah Alshinina and Khaled Elleithy “A Highly Accurate Machine Learning Approach for Developing Wireless Sensor Network Middleware” Connecticut Symposium on Microelectronics and Optoelectronics (CSMO), University of Connecticut, CT, April 2018.
  • Remah Alshinina and Khaled Elleithy, "A Highly Accurate Machine Learning Approach for Developing Wireless Sensor Network Middleware, “ IEEE Wireless Telecommunications Symposium (WTS), 19-20 April, 2018.
  • Remah. Alshinina and Khaled Elleithy, "Efficient Unsupervised Learning to Secure Communication for Wireless Sensor Network Middleware“ IEEE Wireless Telecommunications Symposium (WTS), 19-20 April, 2018. 
  • Remah Alshinina and Khaled Elleithy, "An efficient message authentication and source privacy with a hidden generator point based on ECC," in Long Island Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island vol., no., pp.1-6, 1-1 May 2015.
  • Remah Alshinina, Khaled Elleithy, and Fatima Aljanobi, “A Highly Efficient and Secure Shared Key for Direct Communications Based on Quantum Channel,” IEEE Wireless Telecommunications Symposium, New York, April 15-17, 2015.
  • Remah Alshinina, Christian Bach, “Improvement in the Performance of Design-Science Research in Information Systems,” Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education, Bridgeport, Connecticut, U.S.A, April 3 – 5, 2014. 
  • Marwah Almasri, Khaled Elleithy, Anas Bushang, and Remah Alshinina, “TERP: A Trusted and Energy Efficient Routing Protocol for Wireless Sensor Networks (WSNs),” The 17th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, Delft, Netherlands, October 30 - November 1, 2013. 

Professional Societies’ Affiliation

  • Women Society of Engineering (WSE), University of Bridgeport Chapter\
  • IEEE Women in Engineering (WIE)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • American Society of Engineering Education (ASEE)

I was raised in a cross-cultural environment and I came to the United States for higher education with diversity in thought and cultural experiences that have shaped my teaching philosophy.

I am an advocate for active-collaborative learning in the classroom where needs of each individual are addressed. I am passionate about strengthening student-teacher relationship in the classroom, which leads to effective transfer of knowledge, out-of-the-box ideas, and sharing of resources.

Today’s generation of students is eager to connect their classroom education to their personal and professional growth. My collective-leadership style empowers every student to be a leader in his/her own capacity — to be responsible for themselves and others around them.

  • Artificial intelligence & Deep Learning
  • Wireless Sensor Networks
  • Machine Learning
  • Bioinformatics