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Dr. Sherif Rashad

Professor of Computer Science and Coordinator of the Computer Science Program
Department:  School of Engineering and Computer Science
Degrees, Licensures and Certifications: Ph.D. in Computer Science and Engineering, Speed School of Engineering, University of Louisville, KY; M.Sc. in Electrical Engineering, Faculty of Engineering, Zagazig University, Egypt; B.Sc. in Electrical Engineering, Faculty of Engineering, Zagazig University, Egypt
Research Interests: Machine Learning, Mobile Security, Mobile Computing, Data Science, Cybersecurity
Teaching Interests: Artificial Intelligence, Data Mining, Software Engineering, Computer and Networks Security
Bio:
Dr. Sherif Rashad is a Full Professor of Computer Science and the Coordinator of the Computer Science program at Morehead State University. He received his Ph.D. degree in Computer Science and Engineering from the University of Louisville and his B.Sc. (with honors) and M.Sc. degrees in Electrical Engineering from Zagazig University, Egypt. He is the inaugural recipient of Rebecca L. and Henry P. Conn Endowed Fellowship from Speed School of Engineering, University of Louisville. He worked as an Associate Professor at Florida Polytechnic University and the University of Southern Indiana. His leadership experience includes serving as an Academic Program Coordinator for the Computer Engineering program and as a member of the Provost’s Council of Coordinators at Florida Polytechnic University. Dr. Rashad has a strong experience in curriculum development, program accreditation, and developing new programs. He is currently the coordinator of the Computer Science program and he served as the Chair of the Computer Science Program Committee at Morehead State University from 2009 to 2015. He led the effort to introduce new tracks in the computer science program and to introduce several new courses. Dr. Rashad’s research interests include machine learning, mobile security, mobile computing, data science, and cybersecurity. He served as a member of the editorial board of several international journals and as a member of the technical program committee of several international and national conferences. He is the recipient of the 2020 Dean’s Citation for Excellence in Teaching Award. He is a three-time recipient of the Outstanding Research Award (2012, 2014, and 2015) and the 2009 recipient of the Outstanding Teaching Award from the Department of Mathematics and Computer Science at Morehead State University. He is a 2019 Fellow of the Bluegrass Higher Education Consortium Academic Leadership Academy and he is currently serving as the campus liaison. He is a senior member of IEEE and a professional member of ACM.

Selected Publications:
  • S. Sareh Ahmadi, Sherif Rashad, and , “Machine Learning Models for Activity Recognition and Authentication of Smartphone Users” presented and published in the proceedings of the IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON 2019), pp. 560-566, October 10-12,2019.
  • S. Sareh Ahmadi, Sherif Rashad, and , “Efficient Feature Selection for Intrusion Detection Systems” presented and published in the proceedings of the IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON 2019), pp. 1044-1049, October 10-12, 2019.
  • Jenario Johnson, Eric Williams, Micheal Swindon, Kendon Ricketts, Behzad Mottahed, Sherif Rashad, and Ryan Integlia, “A Wearable Mobile Exergaming System for Activity Recognition and Relaxation Awareness”, proceeding of the 2019 Annual IEEE International Systems Conference (IEEE SysCon 2019), pp. 1-5, Orlando, FL, April 2019.
  • Rabeet Fatmi, Sherif Rashad, and Ryan Integlia, “Comparing ANN, SVM, and HMM based Machine Learning Methods for American Sign Language Recognition using Wearable Motion Sensors”, presented and published in proceeding of the 9th IEEE Annual Computing and Communication Workshop and Conference (IEEE CCWC 2019), pp. 290-297, Las Vegas, NV, January 2019. (received Best Paper Award)
  • Joshua Webb and Sherif S. Rashad, “Design and Implementation of an Innovative System for Automatic Recognition of ASL using Machine Learning”, Posters-at-the-Capitol, Frankfort, KY, February 21, 2019.
  • Joshua Webb and Sherif Rashad, “Design and Implementation of an Innovative System for Automatic Recognition of ASL using Machine Learning”, Annual Celebration of Student Scholarship, Morehead State University, Morehead, KY, April 2019 (Presented by Joshua Webb received the Merit Award).
  • Sherif Rashad and Jonathan Byrd, “Behavior-Based Security for Mobile Devices using Machine Learning”, International Journal of Artificial Intelligence & Applications, Vol.9, No.4, pp. 1-10, July 2018.
  • Rabeet Fatmi, Sherif Rashad, Ryan Integlia, and Gabriel Hutchison, “American Sign Language Recognition using Hidden Markov Models and Wearable Motion Sensors”, Transactions on Machine Learning and Data Mining, Volume 10, Number 2, pp. 41-55, October 2017.
  • Rabeet Fatmi, Sherif Rashad, Ryan Integlia, and Gabriel Hutchison, “American Sign Language Recognition using Hidden Markov Models and Wearable Motion Sensors”, presentation at the 13th International Conference on Machine Learning and Data Mining (MLDM 2017), New York, July 2017.
  • Brad Schneider and Sherif Rashad, “Hand Gesture Recognition for Automatic Translation of American Sign Language using Machine Learning Techniques”, presented and published in the proceeding of the 31st International Conference on Computers and Their Applications, CATA 2016, pp. 207-215, Las Vegas, NV, April 2016.
  • Zachary Lamb and Sherif Rashad, “Optimizing Next-Generation Mobile Networks using Frequent Sequential Pattern Mining”, in “New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering”, K. Elleithy et al. (eds.), Springer, Lecture Notes in Electrical Engineering, Volume 312, pp. 551-557, January 2015.
  • Jonathon Byrd and Sherif Rashad, “Predicting Behavior of Mobile Users Using Mobile Computing Algorithms”, presented at the 100th Annual Meeting of the Kentucky Academy of Science, Computer and Information Sciences Section, Lexington, KY, November 14, 2014. (Presented by Jonathon Byrd and he was the first place winner in the undergraduate research competition).
  • Zachary Lamb and Sherif Rashad, “Optimizing Next-Generation Mobile Networks using Frequent Sequential Pattern Mining”, presented at the 2014 National Conferences on Undergraduate Research (NCUR 2014).
  • Erich Hohenstein and Sherif Rashad, “Design and Implementation of Apriori and K-means Parallel Data Mining Algorithms”, presented at the 2014 National Conferences on Undergraduate Research (NCUR 2014).
  • Joshua Bradley and Sherif Rashad, “Time-Based Location Prediction Technique for Wireless Cellular Networks”, in “Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering”, T. Sobh et al. (eds.), Springer, Lecture Notes in Electrical Engineering, Volume 151, pp. 937-947, March 2013.
  • Zachary Lamb and Sherif Rashad, “Optimizing Next-Generation Mobile Networks using Frequent Sequential Pattern Mining”, presented at the 2013 International Conference on Telecommunications and Networking (TeNe 13), December 2013.
  • Joseph S. Blanton and Sherif Rashad, “Intrusion Detection in Wireless Mobile Networks using Data Mining Techniques”, Posters-at-the-Capitol, Frankfort, KY, February 21, 2013.
  • Zachary Lamb and Sherif Rashad, “Optimizing Next-Generation Mobile Networks using Frequent Sequential Pattern Mining”, presented at the 99th Annual Meeting of the Kentucky Academy of Science, Computer and Information Sciences Section, Morehead, KY, November 9, 2013. (Presented by Zachary Lamb and he was the third place winner in the undergraduate research competition).
  • Erich Hohenstein and Sherif Rashad, “Design and Implementation of Parallel Data Mining Algorithms”, presented at the 99th Annual Meeting of the Kentucky Academy of Science, Computer and Information Sciences Section, Morehead, KY, November 9, 2013.
  • Elaheh Arabmakki, Sherif Rashad, and Sadeta Krijestorac, “A Comparison of Different Vertical Handoff Algorithms between WLAN and Cellular Networks”, International Journal of Engineering Research and Innovation, Volume 4, Number 1, pp. 5-12, Spring/Summer 2012.
  • Joshua Bradley and Sherif Rashad, “Discovering Significant Mobile Patterns from Cell Towers”, presented at the 2012 Council on Undergraduate Research Posters on the Hill, Washington, D.C., April 23, 2012 (acceptance rate 8.71%).
  • Sherif Rashad and Joshua Bradley, “SmartMobiMine: Smart Mobile Data Mining Techniques to Support 4G Mobile Networks”, presented and published in the proceeding of the 2011 IEEE Consumer Communications and Networking Conference (IEEE CCNC 2011), pp. 703-704, Las Vegas, NV, January, 2011 (this work was included in the Council on Undergraduate Research (CUR) Quarterly Undergraduate Research Highlights, Fall 2011, Volume 32, Number 1.0).
  • Elaheh Arabmakki, Sherif Rashad, and Sadeta Krijestorac, “An Algorithm for Optimizing Vertical Handoff between WLAN and Cellular Networks”, Journal of Selected Areas in Telecommunications (JSAT), pp. 17-22, August Edition, 2011.
  • Benjamin Caldwell and Sherif Rashad, “Novel Load Balancing Techniques for Wireless Heterogeneous Network”, presented at the 97th Annual Meeting of the Kentucky Academy of Science, Computer and Information Sciences Section, Murray, KY, November 5, 2011.
  • Joshua Bradley and Sherif Rashad, “Mining Mobile Sequential Patterns in Wireless Mobile Networks”, presented at the 96th Annual Meeting of the Kentucky Academy of Science, Computer and Information Sciences Section, Bowling Green, KY, November 13, 2010. (Presented by Joshua Bradley and he was the first place winner in the undergraduate research competition).
  • Sherif Rashad, “Location Management in 4G Wireless Heterogeneous Networks using Mobile Data Mining Techniques”, in “Novel Algorithms and Techniques in Telecommunications and Networking”, T. Sobh et al. (eds.), Springer, pp. 471-476, March 2010.
Professional Memberships:
  • Institute of Electrical and Electronics Engineers (IEEE), Senior Member
  • IEEE Computer Society and IEEE Communications Society
  • Association for Computing Machinery (ACM)
  • IEEE Biometrics Council, IEEE Sensors Council, and IEEE Systems Council
  • IEEE Technical Committee on Data Engineering (TCDE)
  • IEEE Technical Committee on Computer Communications (TCCC)
  • The Multimedia Communications Technical Committee (MMTC)
Recent Awards and Honors:
  • 2020 Dean’s Citation for Excellence in Teaching Award, Elmer R. Smith College of Business and Technology.
  • Recognized by the President of Morehead State University and the University Board of Regents at the August 2019 Board of Regents Meeting as Outstanding Faculty member for outstanding leadership, service and dedication to the University.
  • Best Paper Award, the 9th IEEE Annual Computing and Communication Workshop and Conference (IEEE CCWC 2019), Las Vegas, NV, January 2019.
  • by the President of Florida Polytechnic University to present recent research activities with graduate and undergraduate students at the Board of Trustees Meeting in December 2016.
  • Invited by the President of Florida Polytechnic University to present recent research activities with graduate and undergraduate students at the Foundation Board Meeting in November 2016.
  • The President’s Choice Award, Florida Polytechnic University, STEM Students BIO Expo Competition (mentored students to develop a new innovative mobile application, “Identafish”), December 2015.
  • The 2015 Research Award, Department of Mathematics and Computer Science, Morehead State University, May 2015.
  • The Outstanding Research Award, Department of Mathematics and Computer Science, Morehead State University, May 2014.
  • The Outstanding Research Award, Department of Mathematics and Computer Science, Morehead State University, May 2012.
  • The Outstanding Teaching Award, Department of Mathematics and Computer Science, Morehead State University, May 2009.
  • Research and Creative Production Summer Fellowship, Morehead State University, May 2008.
  • Inaugural Recipient of Rebecca L. and Henry P. Conn Endowed Fellowship, Speed School of Engineering, University of Louisville, 2004- 2006.
  • Graduate Dean's Citation Award, Graduate School, University of Louisville, December 2006.
  • Computer Science and Engineering Doctoral Award, Speed School of Engineering, University of Louisville, April 2006.