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Adnan Khashman CURRICULUM VITAE Prof. Dr. Adnan Khashman P.O. Box 1045, Lefkosa, 99010, North Cyprus [email protected] Google Scholar: https://scholar.google.com/citations?user=_ezc_ZQAAAAJ&hl=en Scopus Author ID: 6603394599 Language fluency: English, Arabic, Turkish Academic Degrees Ph.D. Electronic Engineering University of Nottingham, UK 1997 M.Sc. Electronic Engineering University of Nottingham, UK 1992 B.Eng. (Hons) Electronic & Communication Engineering University of Birmingham, UK 1991 GCE Advanced Level (A-Levels) Davies’s College, Hove, UK 1988 Academic Titles Professor Electronic Engineering 2009 Associate Professor Electronic Engineering 2001 Assistant Professor Electronic Engineering 1998 Administrative & Academic Posts Dean Faculty of Engineering Final International University, Girne, N. Cyprus 07/2020 – European Centre for Research & Academic Affairs, Founding Director ECRAA Research Centre 2015 – Lefkosa, North Cyprus. American University of Cyprus, Nicosia, North Vice Rector International Affairs Spring 2019/2020 Cyprus. Professor Faculty of Engineering Girne American University, Girne, N. Cyprus Spring 2019/2020 Professor/ Faculty of Engineering Final International University, Girne, N. Cyprus 2016 – 2018 Senate Member British University of Nicosia (now Cyprus Science Vice-Rector/Dean Academic Affairs / Engineering Faculty 2014 - 2015 University), Girne, N. Cyprus Part-Time Professor Faculty of Engineering European University of Lefke, N. Cyprus 2010 - 2013 Visiting Professor Multimedia & Imaging Lab Hellenic Open University, Patras, Greece 2009 - 2010 Faculty of Engineering/ Dean/ Electrical & Electronic Engineering Chairman/ Near East University, Lefkosa, N. Cyprus 1998 - 2014 Department / Computer Eng. Dept. Director Intelligent Systems Research Centre Research My research work focusses on artificial intelligence, machine learning, deep learning and pattern recognition. I develop ANN models using the C-programming language, and I continue to explore newly emerging application areas of artificial intelligent systems in the fields of medicine, health, engineering, security, military, economy, energy, computational politics, banking, and petrol price prediction. Next investigation will focus on building an emotional neural network with deep learning architecture. Projects & Funding - Turkey’s Tubitak science foundation funded project. Database construction for facial recognition system. Duration: 6 months, completed in 2008. - EU scholarship and funding program for Cyprus academicians. Conducted research work on artificial emotional intelligence and its application in pattern recognition. Duration: 12 months, completed in 2010. 1 Awards - Turkey Science Foundation (Tubitak) financial awards for research and scientific publications, 2008-2018. - Near East University high achievement awards for research and scientific publications, 2001, 2008, 2009, 2010, 2011. - Final International University financial award for research and scientific publications, 2018. Professional Society Membership - SMIEEE, Senior Member of IEEE; The Institute of Electrical and Electronic Engineers, USA. Teaching I have 20+ years of experience in teaching university courses in English language for undergraduate and postgraduate programs in computer engineering, information systems engineering, software engineering, and electrical & electronic engineering. I have also supervised many graduation projects, MSc theses, and PhD doctorate research work. Taught Courses Taught Courses Undergraduate MSc. & Ph.D. - Introduction to Computer Programming (MATLAB) - Scientific Research Methods - Introduction to Electrical & Information Engineering - Advanced Neural Networks - C-Programming - Artificial Intelligence - English Communication Skills - Advanced Image Processing - Circuit Theory I - Pattern Recognition - Circuit Theory II - Electrical Circuits (for Computer Engineering) - Signal & Systems - Digital Signal Processing - Image Processing - Artificial Intelligence - Neural Networks Publications List • International Journals 1. Khashman A., Carstea C.G., “Oil Price Prediction Using a Supervised Neural Network”, International Journal of Oil, Gas, and Coal Technology, Vol. 20, No. 3, pp. 360-371, 2019. 2. Olaniyi E.O., Oyedotun O.K., Ogunlade C., Khashman A. “In-Line Grading System for Mango Fruits Using GLCM Feature Extraction and Soft- Computing Techniques", International Journal of Applied Pattern Recognition, Accepted in June 2019 3. Khashman A., Serakinci N., Kizilkanat M., “Metabolic Syndrome Risk Evaluation Based on VDR Polymorphisms and Neural Networks", Advances in Intelligent Systems and Computing, Springer Book series, Accepted in June 2019 4. Oyedotun O.K. and Khashman A., "Prototype-Incorporated Emotional Neural Network", IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 8, pp. 3560-3572, August 2018. 5. Khashman A., Sadikoglu G., “Data Coding and Neural Network Arbitration for Feasibility Prediction of Car Marketing", Advances in Intelligent Systems and Computing, Springer Book series, ISSN: 2194-5357. pp. 249-255, 2018. 6. Khashman A., Ahmed W., Mammadli S., “Banknote Issuing Country Identification Using Image Processing and Neural Networks", Advances in Intelligent Systems and Computing, Springer Book series, ISSN: 2194-5357. pp. 746-753, 2018. 7. Oyedotun O.K., Ebenezer O.O., Khashman A., “A Simple and Practical Review of Over-fitting in Neural Network Learning", International Journal of Applied Pattern Recognition, Vol. 4, No. 4, pp. 307-328, 2017. 8. Olaniyi E.O., Adekunle A.A., Odekuoye T., Khashman A., “Automatic system for grading banana using GLCM texture feature extraction and neural network arbitrations”, Journal of Food Process Engineering, Wiley-Blackwell, Vol. 40, No. 6, pp. 1-10, December 2017. 9. Oyedotun O.K. and Khashman A., “Deep Learning in Vision-Based Static Hand Gesture Recognition”, Neural Computing and Applications, Vol. 28, pp. 3941-3951, 2017. 10. Oyedotun O.K. and Khashman A., “Iris nevus diagnosis: convolutional neural network and deep belief network”, Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 25, No. 2, pp. 1106-1115, 2017. 11. Oyedotun O.K. and Khashman A., "Banknote Recognition: Investigating Processing and Cognition Framework using Competitive Neural Network", Cognitive Neurodynamics, Vol. 11. No. 1. pp. 67-79, 2017. 2 12. Olaniyi E.O., Oyedotun O.K., Khashman A., “Intelligent Grading System for Banana Fruit Using Neural Network Arbitration”, Journal of Food Process Engineering, Wiley-Blackwell, Vol. 40, No. 1, 2017. 13. Khashman Z., Khashman A., “Modelling people’s anticipation for Cyprus peace meditation outcome using a neural model”, Procedia Computer Science, Vol. 120, pp. 734-741, 2017. 14. Akpinar P., Khashman A., "Intelligent classification system for concrete compressive strength", Procedia Computer Science, Vol. 120, pp. 712- 718, 2017. 15. Sekeroglu B., Khashman A., "Performance Evaluation of Binarisation Methods for Document Images", Elsevier Procedia Computer Science, DOI:10.1145/3133264.3133272, accepted in 2017. 16. Khashman A., Akpinar P., “Non-Destructive Prediction of Concrete Compressive Strength Using Neural Networks”, Procedia Computer Science, Vol. 108, pp. 2358-2362, 2017. 17. Ebenezer O.O., Adekunle A.A., Oyedotun O.K., Khashman A., “Diabetic Retinopathy Diagnosis Using Neural Network Arbitration", Bulletin of the Transilvania University of Braşov – Series III Mathematics, Informatics, Physics, No. 1, 2017 18. Oyedotun O.K., Ebenezer O.O., Khashman A., “Disk Hernia and Spondylolisthesis Diagnosis using Biomechanical Features and Neural Network”, Technology and Health Care Journal, vol. 24, no. 2, pp. 267-279, 2016. 19. Oyedotun O.K. and Khashman A., “Document Segmentation using Textural Features Summarization and Feedforward Neural Network”, Applied Intelligence, Vol. 45. No. 1, pp. 198-212, 2016. 20. Abbas H.H., Khashman A., “Evaluation of Geographical Information System and Intelligent Prediction of Solar Energy”, International Journal of Control Systems and Robotics, Vol. 1, pp. 106-112, 2016. 21. Oyedotun O.K., Oyedotun O.A, Ebenezer O.O., Helwan A., Khashman A., “Evaluation of Seminal Quality with RBF Neural Network", Bulletin of the Transilvania University of Braşov – Series III Mathematics, Informatics, Physics, No. 2, 2016. 22. Khashman A., Khashman Z., Mammadli S., “Arbitration of Turkish Agricultural Policy Impact on CO2 Emission Levels Using Neural Networks”, Procedia Computer Science, Vol. 102, pp. 583-587, 2016. 23. Khashman Z., Khashman A., “Anticipation of Political Party Voting Using Artificial Intelligence”, Procedia Computer Science, Vol. 102, pp. 611-616, 2016. 24. Khashman A., Oyedotun O.K., Sadikoglu F., “Intelligent Recognition of Chelonioidea Sea Turtles”, Procedia Computer Science, Vol. 102, pp. 617-622, 2016. 25. Ebenezer O.O., Oyebade O.K., Khashman A., “Heart Diseases Diagnosis Using Neural Networks Arbitration”, International Journal of Intelligent Systems and Applications, Vol. 7, No. 12, pp. 72-79, 2015. 26. Oyedotun O.K., Ebenezer O.O & Khashman A., “Deep Learning in Character Recognition considering Pattern Invariance Constraints”, International Journal of Intelligent Systems and Applications, Vol. 7, No. 7, pp. 1-10, 2015. 27. Oyedotun O.K., Olaniyi E.O.; Helwan A., Khashman A., “Decision Support Models for Iris Nevus Diagnosis Considering Potential Malignancy”, International Journal of Scientific & Engineering Research, Vol. 5, No. 12, pp. 421, 2014. 28. Olaniyi E.O., Oyedotun O.K., Khashman A., “Neural
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