BDAILab

Big Data and Artificial Intelligence Laboratory (BDAILab) is a research institution that develops advanced data science and machine learning technologies. We strive to create innovative solutions to the most complex industry and research problems. Our goal is to lead the industry in data science and artificial intelligence.

ABOUT US
Big Data and Artificial Intelligence Laboratory is a research and development organization. We specialize in providing state-of-the-art studies in artificial intelligence, machine learning, deep learning, natural language processing, image processing and related areas.

Our mission is to advance the technology and its applications to make the world better. We believe that data-driven solutions, enabled by artificial intelligence and machine learning, can positively transform all aspects of our lives. 

Our team consists of top researchers, and scientists, who work together to develop cutting-edge technology that can make a positive impact on the world.

People

Prof. Dr. M. Ali Akcayol

Director

Received BS, MS, and PhD degrees from Gazi University, Türkiye, in 1993, 1998, and 2002, respectively. He has been at Michigan State University, USA, in 2004, for postdoctoral research. He is teaching deep learning and big data analytics. His research interests include artificial intelligence, big data analytics, and intelligent optimization.

Prof. Dr. Hacer Karacan

Member

Received BS, MS, and PhD degrees from Middle East Technical University, Türkiye, in 2002, 2005, and 2007, respectively. She is teaching interactive systems design, software engineering, automata and formal languages. Her research interests include software engineering, human computer interaction, data mining, cognitive computation.

Assoc. Prof. Dr. Oktay Yıldız

Member

Received BS, MS, and PhD degrees from Gazi University, Türkiye, in 1997, 2004, and 2012, respectively. He is teaching machine learning, data mining, object oriented programming and bioinformatics. His research interests include data mining, machine learning, bioinformatics.

Assoc. Prof. Dr. Mehmet Şimşek

Member

Received the BS degree from Selçuk University, 2004, MSc and PhD degrees from Gazi University, 2006 and 2012, respectively. He is teaching artificial intelligence, deep learning, mobile wireless networks. His research interests include deep learning, machine learning, wireless sensor networks.

Assoc. Prof. Dr. İbrahim Alper Doğru

Member

Received the BS degree from Atılım University, 2004, MSc and PhD degrees from Gazi University, 2007 and 2012, respectively. His research interests include deep learning, machine learning, wireless sensor networks.

Assoc. Prof. Dr. Sinan Toklu

Member

Received the BS degree from Eastern Mediterranean University, 2004, MSc and PhD degrees from Gazi University, 2007 and 2012, respectively. His research interests include deep learning, machine learning, wireless sensor networks.

Assoc. Prof. Dr. Anıl Utku

Member

Received the BS degree from Kocaeli University, MS and PhD degrees from Gazi University. He is currently faculty member at Munzur University. His research interests include deep learning, recommender systems, big data analytics.

Assoc. Prof. Dr. M. Rashed Baker

Member

Received BS degree from College of Technology Kirkuk-Iraq in 2005. MSc and PhD degrees from Gazi University in 2009 and 2017, respectively. His research interests include web mining, web crawler and web ranking.

Dr. Muhammet Ünal

Member

Received the BS, MSc and PhD degrees in Electric and Electronic Engineering from Gazi University in 2000, 2003 and 2011 respectively. His research interests include network security, broadband wireless communications, mobile computing and intelligent routing protocols.

Dr. Barış Özyurt

Member

Received the BS and MSc degrees in Computer Engineering from METU, Türkiye at 2000 and 2003, respectively. Received PhD degree in Computer Science from Gazi University, Türkiye at 2021. His research interests include opinion mining, sentiment analysis.

Dr. Alisettar Huseynli

Member

Received the BS, MSc and PhD degrees in Computer Engineering from Gazi University in 2010, 2013 and 2023, respectively. His research interests include artificial intelligence, machine learning, big data analytics, graph databases and multimedia communications.

Dr. Serdar Kürşat Sarıkoz

Member

Received the BS degree in Computer Engineering from Sakarya University, in 2002. MSc and PhD degrees in Computer Science from Gazi University in 2010 and 2023, respectively. His research interests include web mining, web crawler and knowledge extraction.

Dr. Zülfü Alanoğlu

Member

Received the BS degree in Computer Education from Fırat University in 2006 and MSc degree in Informatics from Mustafa Kemal University 2017. His research interests include big data analytics, deep learning, web crawlers and web search.

Dr. Ahmet Yapıcı

Member

Received the BS degree in Computer Engineering from Ege University in 2004, MSc degree in Computer Software Engineering from METU in 2007. His research interests include artificial intelligence, deep learning and video noise reduction.

Özlem Alpay (PhD Candidate)

Researcher

Received the BS and MSc degrees in Computer Engineering from Fırat University in 2014 and 2018 respectively. Her research interests include deep learning, big data analytics and video captioning.

Kevser Özdem (PhD Candidate)

Researcher

Received the BS and MSc degrees in Computer Engineering from Gazi University in 2019 and 2021 respectively. Her research interests include deep learning, image & text classification and big data analytics.

Oğuzhan Çiftçi

Member

Received the BS degree from Computer Engineering, Ankara University in 2017 and MSc degree in Computer Engineering, Gazi University in 2021. His research interests include deep learning, image colorization and intelligent optimization.

A. R. Anwar Qureshi

Former Member

Received the BS degree from Computer Science from Bahria University in 2018 and MSc degree in Computer Science from Gazi University in 2021. His research interests include artificial intelligence, deep learning, recommender systems and query auto completion.

Projects

CAPE: Cognitively Smart Assistant in Phygital Environment

Eureka Itea 4

SINTRA: Security of Critical Infrastructure by Multi-Modal Dynamic Sensing and AI

Eureka Itea 4

AI Based Network Security

TÜBİTAK TEYDEB & ARGUS

TEUCOPTER: Multi-Purpose Hybrid Autonomous Drone Design and Prototype Manufacturing

TÜBİTAK TEYDEB & TEUSAN

Data Collection, Verification and Querying from Heterogeneous Data Sources on the Internet

TÜBİTAK BİDEB 2244 Industrial PhD Program & Huawei Technologies Co. Ltd.

A model for integration of urban heat island effect mitigation into planning processes: Local climate zone based morphological approach

TÜBİTAK 1001

Recommender System Based on Prediction of Distribution in Stream Data and Presenting Unexpected Suggestion

Gazi University Scientific Research Project

Semantic Matching Based Automatic Meta-Search Engine

Huawei Technologies Co. Ltd. & Ministry of Science, Industry and Technology

Publications

  • Spread patterns of COVID-19 in European countries: Hybrid deep learning model for prediction and transmission analysis
    Utku A., Akcayol M.A.
    Neural Computing and Applications, DOI: 10.1007/s00521-024-09597-y, 2024.

  • Machine learning applications for vascular stenosis detection in computed tomography angiography: a systematic review and meta-analysis
    Anwer A. M. O. A., Karacan H., Enver L., Çabuk G.
    Neural Computing and Applications, Vol.36, pp.1-20, 2024. 

  • Implementation of C5. 0 Algorithm using chi-square feature selection for early detection of hepatitis C disease 
    Mahmud M., Budiman I., Indriani F., Kartini D., Faisal M. R., Rozaq H. A. A., Yıldız O., Caesarendra W. 
    Journal of Electronics, Electromedical Engineering, and Medical Informatics, Vol.6(2), pp116-124, 2024.

  • YOLO-IHD: Improved real-time human detection system for indoor drones
    Küçükayan G., Karacan H.
    Sensors, Vol.24(3), pp.922-954, 2024. 

  • Real time malicious drone detection using deep learning on FANETs
    Yapıcıoğlu C., Demirci M., Akcayol M.A.
    IEEE International Black Sea Conference on Communications and Networking, Tbilisi, Georgia, June 24–27, 2024.

  • Neural network based a comparative analysis for customer churn prediction
    Utku A., Akcayol M.A.
    Muş Alparslan University Journal of Science, DOI: 10.18586/msufbd.1466246, 2024.

  • Hybrid ConvLSTM model for evaluating the performance of SMEs in the software sector
    Utku A., Sevinç A., Akcayol M.A.
    Naturengs, Vol.5(1), 2024.

  • Log anomaly detection in application servers using deep learning
    Alagöz E., Şahin Y.M., Özdem K., Gedik A.O., Akcayol M.A.
    Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0, Vol.1(1), pp.258-268, 2024. (Selected from ICAIAME 2023)

  • Hybrid deep learning model for earthquake time prediction
    Utku A., Akcayol M.A.
    Gazi University Journal of Science, DOI: 10.35378/gujs.1364529, 2024.

  • EMACrawler: Web search engine database freshness optimization
    Alanoğlu Z., Akcayol M.A.
    Journal of Polytechnic, DOI: 10.2339/politeknik.1347054, 2024.

  • Disruptive effects of Earth's orbit environmental conditions on spacecraft electronic systems
    Tarakcıoğlu O., Aydemir M.T., Akcayol M.A.
    International Journal for Multidisciplinary Research, DOI: 10.36948/ijfmr.2023.v05i05.6285, 2023.

  • Personality traits prediction model from Turkish contents with semantic structures
    Kosan M. A., Karacan H., Urgen B. A.
    Neural Computing and Applications, Vol.35(23), pp.17147-17165, 2023. 

  • A blockchain-based e-commerce reputation system built with verifiable credentials
    Doğan Ö., Karacan H.
    IEEE Access, Vol.11, pp.47080-47097, 2023.

  • YOLOv8’s head-layer performance comparison for skin cancer detection 
    Sutaji D., Yıldız O. 
    2nd International Conference of Advanced Technologies and Applied Science (ICATEAS), Surabaya, Endonezya, 18 - 19 October 2023.

  • WECNN-PDP: Weighted ensemble convolutional neural networks models to improve the plant disease prediction 
    Sutaji D., Yıldız O., Rosyid H., Chotijah U. 
    2nd International Conference on Applied Sciences, Education and Technology (iConASET'23), Surabaya, Endonezya, 01 August 2023. 

  • An improved convolutional neural network framework for brain MRI image classification 
    Aydin H. N., Yıldız O. 
    Innovations in Intelligent Systems and Applications Conference, ASYU 2023, Sivas, Türkiye, 11 - 13 October 2023. 

  • Improved ECA-DenseNet framework for brain MRI image classification 
    Aydin H. N., Yıldız O. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, İstanbul, Türkiye, 5 - 8 July 2023. 

  • Analysis of cervical neoplasia with artificial intelligence
    Zergeroğlu S., Sarı M.E., Taplamacıoğlu M.C., Alpay Ö., Akcayol M.A.
    5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Antalya, Türkiye, November 03-04, 2023.

  • Deep learning based classification for hoverflies (Diptera: Sryphidae)
    Utku A., Ayaz Z., Çiftçi D., Akcayol M.A.
    Journal of the Entomological Research Society, DOI 10.51963/jers.v25i3.2445, 2023.

  • Improving QoS in real-time mobile multimedia streaming with SCTP-PQ
    Huseynli A., Şimşek M., Akcayol M.A.
    Acta Polytechnica, DOI: 10.14311/AP.2023.63.0347, 2023.

  • Continuous knowledge graph refinement with confidence propagation
    Huseynli A., Akcayol M.A.
    IEEE Access, DOI: 10.1109/ACCESS.2023.3283925, 2023.

  • Examining knowledge extraction processes from heterogeneous data sources
    Sarıkoz S.K., Akcayol M.A.
    Journal of Brilliant Engineering, DOI: 10.36937/ben.2023.4798, 2023.

  • Forecasting the spread of COVID-19 using deep learning and big data analytics methods
    Kiganda C., Akcayol M.A.
    Springer Nature Computer Science, DOI: 10.1007/s42979-023-01801-5, 2023.

  • Deep convolutional neural network-the evaluation of cervical vertebrae maturation
    Akay G., Akcayol M.A., Özdem K., Güngör K.
    Oral Radiology, DOI: 10.1007/s11282-023-00678-7, 2023.

  • Effective seed URL selection and scope extension algorithm for web crawler
    Alanoğlu Z., Akcayol M.A.
    International Journal of Advances in Engineering and Pure Sciences, Vol.35(1), pp.27-38, 2023.

  • Deep learning based model for predicting the contribution of SMEs to the economy
    Utku A., Sevinç A., Akcayol M.A.
    Fırat University Journal of Engineering Science, Vol.35(2), pp.865-874, 2023.

  • Seed URL selection and performance analysis in Web crawlers: A comprehensive review
    Alanoğlu Z., Akcayol M.A.
    Duzce University Journal of Science and Technology, Vol.11(3), pp.1399-1423, 2023.

  • Deep learning based video event classification
    Gençaslan S., Utku A., Akcayol M.A.
    Journal of Polytechnic, Vol.26(3), pp.1155-1165, 2023.

  • Artificial intelligence and digital transformation in the light of new generation technologies
    Editors: Yılmaz M., Akcayol M.A.
    Authors: Kabukcu M., Özdem K., Ulusoy R., Akyol A., Öniz Y., Yüksel K., Sancak E., Utku A., Başkaya F., Karacan H., Alpay Ö.
    Nobel Academic Publishing, ISBN: 978-625-417-991-4, August 2022.

  • Machine learning-based comparative study for heart disease prediction
    Güllü M., Akcayol M.A., Barışçı N.
    Advances in Artificial Intelligence Research, Vol.2(2), pp.51-58, 2022. (Selected from ICAIAME 2022)

  • Predicting personality traits with semantic structures and LSTM-based neural networks
    Kosan M. A., Karacan H., Ürgen B. A.
    Alexandria Engineering Journal, Vol.61(10), pp.8007-8025, 2022.

  • LEMOXINET: Lite ensemble MobileNetV2 and Xception models to predict plant disease 
    Sutaji D., Yildiz O. 
    Ecological Informatics, Vol.70, 2022.

  • Two stage deep learning based stacked ensemble model for web application security
    Sevri M., Karacan H.
    KSII Transactions on Internet and Information Systems, Vol.16(2), pp.632-657, 2022. 

  • A new objective diagnostic tool for ADHD: Development of the web-based auditory-focused continuous performance test
    İşeri E., Sevri M., Özaslan A., Karacan B., Karacan H., Sarıpınar E. G., et al.
    69th Annual Meeting of the American Academy of Child & Adolescent Psychiatry, Toronto, Kanada, 17 - 21 Ekim 2022, Vol.61(10), pp.233-234.

  • Data quality problem in Al-based network intrusion detection systems studies and a solution proposal
    Halisdemir M. E., Karacan H., Pihelgas M., Lepik T., Cho S.
    14th International Conference on Cyber Conflict (CyCon) - Keep Moving, Tallinn, Estonya, 31 Mayıs - 03 Haziran 2022, pp.367-383.

  • Data quality problem in ai-based network intrusion detection systems studies and a solution proposal
    Halisdemir M. E., Karacan H., Pihelgas M., Lepik T., Cho S.
    14th International Conference on Cyber Conflict, CyCon 2022, Tallinn, Estonya, 31 Mayıs - 03 Haziran 2022, Vol.2022-May, pp.367-383. 

  • A lightweight deep learning model for the classification of a limited lung sound dataset 
    Abdallah I. A., Yıldız O. 
    International Conference on Engineering Sciences, 2022, Azerbaycan, 11 December 2022. 

  • A new chaos-based lightweight encryption mechanism for microcomputers 
    Kiran H. E., Akgul A., Yıldız O. 
    10th International Symposium on Digital Forensics and Security (ISDFS), Maltepe, Türkiye, 6 - 07 June 2022.

  • Trust-chain-based certificate revocation control in autonomous vehicle networks
    Erceylan G., Akcayol M.A.
    IEEE 5th International Conference on Information and Communications Technology, Universitas AMIKOM Yogyakarta, Indonesia, August 24-25, 2022.

  • SUST-DDD: A real-drive dataset for driver drowsiness detection
    Yılmaz K.E., Akcayol M.A.
    IEEE 31st Conference of the Open Innovations Association FRUCT, Helsinki, Finland, April 27-29, 2022.

  • Deep learning-based forecasting of cancellation, delay and orientation on flights
    Ayaydın A., Akcayol M.A.
    Journal of Informatics Technologies, Vol.15(3), pp.239-249, 2022. (Selected from ICI-CS2021)

  • A comprehensive review of image denoising with deep learning
    Yapıcı A., Akcayol M.A.
    International Journal of Advances in Engineering and Pure Sciences, Vol.34(1), pp.65-69, 2022.

  • A novel web ranking algorithm based on pages multi-attribute
    Baker M.R., Akcayol M.A.
    International Journal of Information Technology, DOI: 10.1007/s41870-021-00833-5, 2022.

  • Bird species classification using deep learning: a comparative study
    Bilgin M.M., Özdem K., Akcayol M.A.
    Journal of Polytechnic, Vol.25(3), pp.1251-1260, 2022.

  • Machine learning-based comparative study for heart disease prediction
    Güllü M., Akcayol M.A., Barışçı N.
    International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Baku, Azerbaijan, May 20-22, 2022.

  • Thermal infrared colorization using deep learning
    Çiftçi O., Akcayol M.A.
    IEEE International Conference on Electrical and Electronics Engineering, Antalya, Turkey, April 9-11, 2021.

  • A novel overlapping method to alleviate the cold-start problem in recommendation systems
    Al-Sabaawi A. M. A., Karacan H., Yenice Y. E.
    International Journal of Software Engineering and Knowledge Engineering, Vol.31(9), pp.1277-1297, 2021. 

  • A novel data augmentation technique and deep learning model for web application security
    Karacan H., Sevri M.
    IEEE Access, Vol.9, pp.150781-150797, 2021. 

  • COVID-19 Detection from chest X-ray images and hybrid model recommendation with convolutional neural networks
    Karacan H., Eryılmaz F.
    Journal of advanced research in natural and applied sciences, Vol.7(4), pp.486-503, 2021.

  • Synthetic CANBUS data generation for driver behavior modeling
    Ucuzova E., Kurtulmaz E., Gökalp Yavuz F., Karacan H., Şahin N. E.
    29th Signal Processing and Communications Applications Conference (SIU), İstanbul, Türkiye, 09 June 2021, pp.1-4. 

  • SVD++ and clustering approaches to alleviating the cold-start problem for recommendation systems
    Al-Sabaawi A. M. A., Karacan H., Yenice Y. E.
    International Journal of Innovative Computing Information and Control, Vol.17(2), pp.383-396, 2021. 

  • Two models based on social relations and SVD++ method for recommendation system
    Al-Sabaawi A. M. A., Karacan H., Yenice Y. E.
    International Journal of Interactive Mobile Technologies, Vol.15(1), pp.70-87, 2021.

  • Predicting the survival of heart failure patients in unbalanced data sets 
    Turkmenoglu B. K., Yıldız O. 
    29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021, Virtual, Istanbul, Türkiye, 9 - 11 June 2021.

  • Locality sensitive hashing based clustering for large scale documents
    Özdem K., Akcayol M.A.
    ACM International Conference on Mathematics and Artificial Intelligence, Chengdu, China, March 19-21, 2021.

  • Long short-term memory based query auto-completion
    Qureshi A.R.A., Akcayol M.A.
    IEEE International Conference on Electrical and Electronics Engineering, Antalya, Turkey, April 9-11, 2021.

  • Bloom filter based graph database CRUD optimization for stream data
    Hüseynli A., Akcayol M.A.
    IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, Cracow, Poland, September 22-25, 2021.

  • A new deep learning-based prediction model for purchase time prediction
    Utku A., Akcayol M.A.
    IEEE International Conference on Computer Science and Engineering, Ankara, Turkey, September 15-19, 2021.

  • A review of image denoising with deep learning
    Yapıcı A., Akcayol M.A.
    IEEE International Informatics and Software Engineering Conference, Ankara, Turkey, December 16-17, 2021.

  • Automated machine learning platform
    Selvi G., Dağ G., Dirican E.G., Aktay T., Aksu S.M., Özdem K., Akcayol M.A.
    IEEE International Conference on Computer Science and Engineering, Ankara, Turkey, September 15-19, 2021.

  • Deep learning-based forecasting of cancellation, delay and orientation on flights
    Ayaydın A., Akcayol M.A.
    International Conference on Informatics and Computer Science (ICI-CS2021), Ankara, Turkey, December 9-11, 2021.

  • A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA
    Özyurt B., Akcayol M.A.
    Expert Systems with Applications, Vol.168, 114231, April 2021.

  • Prediction of the next time of an event with deep learning based model
    Utku A., Akcayol M.A.
    Journal of Polytechnic, Vol.24(1), pp.1-15, 2021.

  • A model for prediction of customer behavior: a case study for banking sector
    Özdem K., Akcayol M.A.
    Niğde Ömer Halisdemir University Journal of Engineering Sciences, Vol.10(1), pp.1-8, 2021.

  • A comprehensive review on using of deep learning approaches in video captioning applications
    Alpay Ö., Akcayol M.A.
    Journal of Engineering Sciences and Design, Vol.8(5), pp.271-289, 2020.

  • Exploiting implicit social relationships via dimension reduction to improve recommendation system performance
    Al-Sabaawi A. M. A., Karacan H., Yenice Y. E.
    PLOS One, Vol.15, pp.4, 2020. 

  • KD-tree and adaptive radius (KD-AR Stream) based real-time data stream clustering
    Senol A., Karacan H.
    Journal of The Faculty of Engineering and Architecture of Gazi University, Vol.35(1), pp.337-354, 2020.

  • Design and implementation of web based risk management system based on artificial neural networks for software projects: WEBRISKIT
    Calp M.H., Akcayol M.A.
    Pamukkale University Journal of Engineering Sciences, Vol.26(5), pp.993-1014, 2020.

  • Deep learning based new model for video captioning
    Özer E.G., Karapınar İ.N., Başbuğ S., Turan S., Utku A., Akcayol M.A.
    International Journal of Advanced Computer Science and Applications, Vol.11(3), 2020.

  • Deep learning based new prediction model for the next purchase
    Utku A., Akcayol M.A.
    Advances in Electrical and Computer Engineering, Vol.20(2), pp.35-44, 2020.

  • A comprehensive review on the use of deep learning approaches for video captioning applications
    Alpay Ö., Akcayol M.A.
    International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Antalya, Turkey, October 24-26, 2020.

  • Classification of abnormal respiratory sounds using machine learning techniques 
    Güler H. C., Yıldız O., Baysal U., Cinyol F., Köksal D., Babaoğlu E., et al. 
    2020 Medical Technologies Congress, TIPTEKNO’20, 19 November 2020. 

  • Machine learning in bioinformatics: gene expression and microarray studies 
    Bağıröz B., Doruk E., Yıldız O. 
    2020 Medical Technologies Congress (TIPTEKNO), Türkiye, 19 November 2020. 

  • Anomaly detection in the stream data by using nearest neighbor regression and linear regression analysis
    Acar O.C., Akcayol M.A.
    International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Antalya, Turkey, April 20-22, 2019.

  • Deep learning based an application for anomaly detection at institutional network
    Erginay E., Akcayol M.A.
    International Data Science and Engineering Symposium, Karabük, Turkey, May 2-3, 2019.

  • Bidirectional LSTM based intrusion detection system for web applications
    Sevri M., Karacan H.
    International Conference on All Aspects of Cyber Security (A2CS’xx19), 24 - 25 October 2019, pp.53-57. 

  • Outlier detection on big outlier data
    Şirin E., Karacan H.
    Recent Advances in Data Science and Business Analytics, 25 - 28 September 2019, pp.56. 

  • Deep learning-based web application security
    Sevri M., Karacan H.
    2nd International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES), 26 - 27 April 2019, pp.349-354.

  • Permission-based android malware detection system using feature selection with genetic algorithm 
    Yıldız O., Doğru İ. A. 
    International Journal of Software Engineering and Knowledge Engineering, Vol.29(2), pp.245-262, 2019. 

  • Melanoma detection from dermoscopy images with deep learning methods: A comprehensive study 
    Yıldız O. 
    Journal of the Faculty of Engineering and Architecture of Gazi University, Vol.34(4), pp.2241-2260, 2019.

  • A novel model for risk estimation in software projects using artificial neural network
    Calp M.H., Akcayol M.A.
    International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Antalya, Turkey, April 20-22, 2019.

  • Multi-document extractive text summarization: a comparative assessment on features
    Mutlu B., Sezer E., Akcayol M.A.
    Knowledge-Based Systems, Vol.183, 2019.

  • A comprehensive study on stream data characterization, generation and analytics
    Utku A., Akcayol M.A.
    Erzincan University Journal of Science and Technology, Vol.12(1), pp.379-410, 2019.

  • Content based sentiment analysis for Turkish twitter feeds through vector space model 
    Karamollaoğlu H., Doğru İ. A., Arıcı N., Yıldız O. 
    1st International Informatics and Software Engineering Conference (UBMYK), Diyarbakır, Türkiye, 6 - 07 November 2019, pp.1-6. 

  • Sentiment analysis on Turkish social media shares through lexicon-based approach
    Karamollaoglu H., Doğru İ. A., Dorterler M., Utku A., Yıldız O. 
    3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo, Bosna-Hersek, 20 - 23 September 2018, pp.45-49. 

  • Detection of plant diseases by machine learning 
    Korkut U. B., Gokturk O. B., Yıldız O. 
    26th IEEE Signal Processing and Communications Applications Conference (SIU), İzmir, Türkiye, 2 - 05 May 2018. 

  • End-to-end hierarchical fuzzy inference solution
    Mutlu B., Sezer E.A., Akcayol M.A.
    IEEE World Congress on Computational Intelligence, Rio de Janerio, Brazil, 08-13 July, 2018.

  • A comprehensive review on the use of big data in recommendation systems
    Utku A., Akcayol M.A.
    International Journal of Advances in Engineering and Pure Sciences, Vol.30(4), pp.339-357, 2018.

  • Optimization of project scheduling activities in dynamic CPM and PERT networks using genetic algorithms
    Calp M.H., Akcayol M.A.
    SDU Journal of Natural and Applied Sciences, Vol.22(2), pp.615-627, 2018.

  • A survey on sentiment analysis and opinion mining, methods and approaches
    Özyurt B., Akcayol M.A.
    Selcuk University, Journal of Engineering Science and Technology, Vol.6(4), pp.668-693, 2018.

  • A new context-sensitive decision making system for mobile cloud offloading
    Tanrıverdi M., Akcayol M.A.
    International Journal of Computer Science & Information Technology, Vol. 10(3), pp.71-90, 2018.

  • A weighted multi-attribute-based recommender system using extended user behavior analysis
    Akcayol M.A., Utku A., Aydogan E., Mutlu B.
    Electronic Commerce Research and Applications, Vol.28, pp.86-93, 2018.

  • Comparative analysis of machine learning algorithms in detection of phishing websites
    Koşan M. A., Yıldız O., Karacan H.
    Pamukkale University Journal of Engineering Sciences, Vol.24(2), pp.276-282, 2018. 

  • A review on business intelligence and big data
    Karacan H., Şirin E.
    International Journal of Intelligent Systems and Applications in Engineering, Vol.4(5), pp.206-215, 2017.

  • A modified genetic algorithm for a special case of generalized assignment problem
    Dorterler M., Bay O.F., Akcayol M.A.
    Turkish Journal of Electrical Engineering & Computer Sciences, Vol.25, pp.794-805, 2017.

  • A comprehensive analysis of architectures and methods of real-time big data analytics
    Ay S., Akcayol M.A.
    Lecture Notes on Information Theory, Vol. 5(1), pp.7-12, 2017. (Selected from 4th International Conference on Electrical and Electronics Engineering).

  • Priority queue based estimation of importance of Web pages for Web crawlers
    Baker M.B., Akcayol M.A.
    International Journal of Computer and Electrical Engineering, Vol. 9(1), pp.330-342, 2017. (Selected from 3rd International Conference on Computer and Information Technology)

  • A new packet scheduling algorithm for real-time multimedia streaming
    Simsek M., Dogan N., Akcayol M.A.
    Network Protocols and Algorithms, Vol.9(1&2), pp.28-47, 2017.

  • A comparative and comprehensive review of learning and adaptive recommendation systems
    Utku A., Akcayol M.A.
    Erciyes University Journal Of Institue of Science and Technology, Vol: 33, No: 3, pp.13-34, 2017.

  • A fuzzy approach to determine the quality of automatic summaries
    Mutlu B., Sezer E.A., Akcayol M.A.
    The 5th International Fuzzy Systems Symposium 2017 (FUZZYSS'17), Turkey, 14-15 October, 2017.

  • Assembly inspection in aircraft manufacturing using augmented reality technology
    Gudekli N., Akcayol M.A.
    3rd International Conference on Computer and Information Technology (ICCIT2017), Izmir, 12-14 April, 2017.

  • Priority queue based estimation of importance of Web pages for Web crawlers
    Baker M.B., Akcayol M.A.
    3rd International Conference on Computer and Information Technology (ICCIT2017), Izmir, 12-14 April, 2017.

  • Genetic algorithm and fuzzy logic based flexible querying in databases
    Senol A., Karacan H., Akcayol M.A.
    4th International Conference on Electrical and Electronics Engineering (ICEEE 2017), Ankara, 08-10 April, 2017.

  • A comprehensive analysis of architectures and methods of real-time big data analytics
    Ay S., Akcayol M.A.
    4th International Conference on Electrical and Electronics Engineering (ICEEE 2017), Ankara, 08-10 April, 2017.

  • An efficient multi-threaded Web crawler using HashMaps
    Kansu Y., Mutlu B., Utku A., Akcayol M.A.
    4th International Conference on Electrical and Electronics Engineering (ICEEE 2017), Ankara, 08-10 April, 2017.

  • Crime analysis based on association rules using Apriori algorithm
    Sevri M., Karacan H., Akcayol M.A.
    4th International Conference on Electrical and Electronics Engineering (ICEEE 2017), Ankara, 08-10 April, 2017.

  • Decision support system based fuzzy logic for academic personnel performance evaluation 
    Gür H., Yıldız O. 
    International Mediterranean Science and Engineering Congress (IMSEC 2017), 25 - 27 October 2017.
  • Forecasting the annual electricity consumption of Turkey using a hybrid model 
    Aydogdu G., Yıldız O. 
    25th Signal Processing and Communications Applications Conference (SIU), Antalya, Türkiye, 15 - 18 May 2017. 

  • Music genre classification with machine learning techniques 
    Karatana A., Yıldız O. 
    25th Signal Processing and Communications Applications Conference (SIU), Antalya, Türkiye, 15 - 18 May 2017.
     
  • Improvement of realization quality of aerospace products using augmented reality technology
    Bahar N., Akcayol M.A.
    18th International Conference on Virtual and Augmented Reality (ICVAR2016), Vol.10(1), pp.18-21, Singapore, 07-08 Januray, 2016. (Selected Paper)

  • Development of content based book recommendation system using genetic algorithm 
    Aygun C., Yıldız O. 
    24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 May 2016, pp.1025-1028. 

  • Context-aware decision making system for mobile cloud offloading
    Tanriverdi M., Akcayol M.A.
    International Journal of Computer Networks & Communications, Vol.7(6), pp.69-85, 2015.

  • Implementation of a new recommendation system based on decision tree using implicit relevance feedback
    Utku A., Karacan H., Yildiz O., Akcayol M.A.
    Journal of Software, Vol.10(12), pp.1367-1374, 2015.

  • A new method based on tree simplification and schema matching for automatic web result extraction and matching
    Gozudeli Y., Karacan H., Yildiz O., Baker M.R., Minnet A., Kalender M., Ozay O., Akcayol M.A.
    The International MultiConference of Engineers and Computer Scientists 2015 (IMECS 2015), Hong Kong, 18-20 March, 2015.

  • Extraction of automatic search result records using content density algorithm based on node similarity
    Gozudeli Y., Yildiz O., Karacan H., Baker M.R., Minnet A., Kalender M., Ozay O., Akcayol M.A.
    The International Conference on Data Mining, Internet Computing, and Big Data (BigData2014), Asia Pacific University of Technology and Innovation (APU), Kuala Lumpur, Malaysia, 17-19 November, 2014.

  • Dimensionality reduction with PCA in block based DCT domain 
    Güzel Turhan C., Yildirim Okay F., Yıldız O., Bilge H. Ş. 
    International Conference on Advanced Technology & Sciences (ICAT'14), Antalya, Türkiye, 12 - 15 August 2014, pp.216-220.

  • Genetic algorithm based a new algorithm for time dynamic shortest path problem
    Dener M., Akcayol M.A., Toklu S., Bay O.F.
    Journal of the Faculty of Engineering and Architecture of Gazi University, Vol.26(4), 2011.

  • A heuristic routing protocol and congestion control at wireless networks
    Simsek M., Akcayol M.A.
    Journal of the Faculty of Engineering and Architecture of Gazi University, Vol.23(1), pp.57-63, 2008.

Research

  • Artificial Intelligence
  • Big Data Analytics
  • Deep Learning
  • Machine Learning Theory and Applications
  • Intelligent Systems
  • Data Analytics / Data Science
  • Social Networks
  • Data Center and Cloud Computing

Courses

  • Deep Learning
  • Big Data Analytics
  • Machine Learning
  • Statistical Learning for Big Data
  • Data Mining
  • Intelligent Optimization Techniques
  • Analysis of Algorithms

Contact

  • Gazi University, Faculty of Engineering
  • Big Data and Artificial Intelligence Laboratory, Gazi University Faculty of Engineering, Department of Computer Engineering, Maltepe 06570, Ankara/Turkiye
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