Melike Şah Direkoğlu

Prof. Dr. MELİKE ŞAH DİREKOĞLU

Faculty of Engineering

Telephone number +90 392 671 11 11
Extension 2470
Office ST202
Other information

CURRICULUM VITAE

Education
  • Trinity College Dublin, University of Dublin Computer Science and Statistics (Professional Doctorate, 2014)
  • University of Southampton Computer Science (PhD, 2009)
  • Eastern Mediterranean University Computer Engineering (Master, 2005)
  • Eastern Mediterranean University Computer Engineering (Undergraduate, 2003)
Publications

Articles published in peer reviewed international journals (SCI,SSCI,Arts and Humanities)

  • A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules - 2024
  • K. Zaman, M. Sah, C. Direkoglu and M. Unoki, "A Survey of Audio Classification Using Deep Learning," in IEEE Access, vol. 11, pp. 106620-106649, 2023, doi: 10.1109/ACCESS.2023.3318015. - 2023
  • Muhammed Abdulghani Taha, Melike Sah and Cem Direkoglu. Identification of Locations in Mecca using Image Pre-Processing, Neural Networks and Deep Learning. Arabian Journal for Science and Engineering (In Press), 2023. - 2023
  • Şah, M., Direkoğlu, C. Review and evaluation of player detection methods in field sports. Multimed Tools Appl 82, 13141–13165 (2023). - 2023
  • Yazan Zaid, Melike Sah, Cem Direkoglu, Pre-processed and combined EEG data for epileptic seizure classification using deep learning, Biomedical Signal Processing and Control, Volume 84, 2023, 104738. - 2023
  • Sah, M., Direkoglu, C. A survey of deep learning methods for multiple sclerosis identification using brain MRI images. Neural Comput & Applic 34, 7349–7373, 2022. - 2022
  • Hatirnaz, E., Sah, M. and Direkoglu, C. A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos. Multimed Tools Appl 79, 17579–17617 (2020). - 2020
  • Direkoglu, C., Sah, M. & O’Connor, N.E. Player detection in field sports. Machine Vision and Applications 29, 187–206 (2018). https://doi.org/10.1007/s00138-017-0893-8 - 2018
  • Arsalan Rahman Mirza and Melike Sah. Automated software system for checking the structure and format of ACM SIG documents, New Review of Hypermedia and Multimedia, 23:2, 112-140, 2017, DOI: 10.1080/13614568.2016.1209247 - 2017

Papers presented in international conferences and printed as proceedings

  • Jana Al Hajj and Melike Sah. Assessing the Impact of ChatGPT in a PHP Programming Course. 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS2023), In press. - 2023
  • Melike Sah and Kadime Gogebakan. Comparing ChatGPT Responses with Clinical Practice Guidelines for Diagnosis, Prevention and Treatment of Diabetes. International Congress of Electrical and Computer Engineering (ICECENG2023), In Press. - 2023
  • W. İbrahim and M. Şah, "Standardization of Humanitarian Project Monitoring and Evaluation using Semantic Web," 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, 2022, pp. 1-7. - 2022
  • K. K. Fakhri and M. Šah, "Staff Training Ontology for Humanitarian Organizations," 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, 2022, pp. 448-453 - 2022
  • Dawood, B.A., Sah, M. Semantic Web and Healthcare System in IoT Enabled Smart Cities. Innovations in Smart Cities Applications Volume 4. SCA. Lecture Notes in Networks and Systems, vol 183. Springer, Cham., 2021 - 2021
  • Hussain, A.A., Al-Turjman, F., Sah, M. (2021). Semantic Web and Business Intelligence in Big-Data and Cloud Computing Era. Innovations in Smart Cities Applications Volume 4. SCA. Lecture Notes in Networks and Systems, vol 183. Springer, Cham, 2021. - 2021
  • Qarqur, H., Sah, M. (2021). Simulation of Algorithms and Techniques for Green Cloud Computing Using CloudAnalyst. Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2020. Learning and Analytics in Intelligent Systems, vol 21. Springer, Cham., 2020. - 2021
  • M. Şah and C. Direkoğlu, LightWeight Deep Convolutional Neural Networks for Vehicle Re-Identification using Diffusion-based Image Masking, 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, 2021, pp. 1-6. - 2021
  • K. Göğebakan and M. Şah, A Review of Recent Advances for Preventing, Diagnosis and Treatment of Diabetes Mellitus using Semantic Web, 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, 2021, pp. 1-6 - 2021
  • Olufemi, A.N. and Sah, M. Location Finder Mobile Application Using Android and Google SpreadSheets. Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore, 2021 - 2021
  • Chandio, M.M. and Sah, M. Brexit Twitter Sentiment Analysis: Changing Opinions About Brexit and UK Politicians. Intelligent Computing Paradigm and Cutting-edge Technologies. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham., 2020. - 2020
  • K. Zaman, M. şah and C. Direkoğlu, "Classification of Harmful Noise Signals for Hearing Aid Applications using Spectrogram Images and Convolutional Neural Networks," 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Istanbul, Turkey, 2020, pp. 1-9. - 2020
  • Altobel, M.Z. and Sah, M. Tiger Detection Using Faster R-CNN for Wildlife Conservation. 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 . ICAFS 2020. Advances in Intelligent Systems and Computing, vol 1306. Springer, Cham., 2020. - 2020
  • Taha, M.A., Şah, M., Direkoğlu, C. Review of Place Recognition Approaches: Traditional and Deep Learning Methods. 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 . ICAFS 2020. Advances in Intelligent Systems and Computing, vol 1306. Springer, Cham., 2020. - 2020

Articles published in other peer reviewed international journals

  • P J Karim, S R Mahmood and M Sah. Brain Tumor Classification using Fine-Tuning based Deep Transfer Learning and Support Vector Machine. International Journal of Computing and Digital Systems. Vol .13, No.1, 2023. - 2023
  • Ismail, A.; Sah, M. CODCA – Covid-19 Ontology For Data Collection And Analysis In E-Health. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences . 2021, Issue 4/W5, p299-305. 7p. - 2021
Thesis Supervision

Master Thesis Supervised

  • Wafaa Ibrahim Khalid. Standardization of Humanitarian Project Monitoring and Evaluation using Semantic Web. MSc Thesis, 2022-2023, Department of Computer Engineering. Kurdeen Khairy Fakhry. Staff Training Ontology for Humanitarian Organizations. MSc Thesis, 2022-2023, Department of Computer Engineering. Supervisor: Melike Şah Direkoğlu - 2023
  • Kurdeen Khairy Fakhry. Staff Training Ontology for Humanitarian Organizations. MSc Thesis, 2022-2023, Department of Computer Engineering. Supervisor: Melike Şah Direkoğlu - 2023
  • Yazan Zaid. Pre-Processed and Combined EEG Data for Epileptic Seizure Classification Using Deep Learning. MSc Thesis, 2021-2022, Department of Computer Engineering. Supervisors: Melike Şah Direkoğlu and Cem Direkoğlu. - 2022
  • Pshtiwan Jabbar. Deep Transfer Learning for Brain Tumor Classification using Pre-Trained Models and SVM. MSc Thesis, 2020-2021, Department of Computer Engineering. Supervisor: Melike Şah Direkoğlu - 2021

Doctorate Thesis Supervised

  • Mohammad Abdulgani Taha. Location Identification in Mecca using Deep Neural Networks, PhD Thesis, Department of Computer Engineering, 2021-2022. Supervisor: Melike Şah Direkoğlu and Cem Direkoğlu. - 2022
Research Areas
  • Artificial Intelligence, Deep Learning, Semantic Web/Web-based Systems, Data Science, Knowledge Representation, Search/Retrieval Models, Data Mining, Intelligent Systems, Biomedical Signal/Data Analysis, Computer Vision and Fuzzy Logic.