Asst. Prof. MURAT AKIN


Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği


WoS Research Areas: Computer Science Artificial Intelligence, Computer Science Software Engineering, Computer Science Interdisciplinary Applications, Computer Science Information Systems


Avesis Research Areas: Computer Vision, Database and Data Structures, Artificial Intelligence, Computer Learning and Pattern Recognition


Names in Publications: AKIN MURAT

Office Phone: +90 312 906 2202 Extension: 2330
Fax Phone: +90 312 906 2955
Web: https://avesis.aybu.edu.tr/12348

Metrics

Publication

23

Publication (Scopus)

18

Citation (Scopus)

96

H-Index (Scopus)

5

Citation (Scholar)

144

H-Index (Scholar)

5

Project

3

Intellectual Property

1

Thesis Advisory

1

Dissertations

2021

2021

Doctorate

Araç verileri ile trafik hız tahmin ve mahremiyet modeli

Gazi University, Fen Bilimleri Enstitüsü

2012

2012

Postgraduate

Kanserli hücrelerin mikroarray gen ifadelerinin incelenmesi ve veri madenciliği yöntemleri kullanarak sınıflandırılması

Gazi University, Fen Bilimleri Enstitüsü

Foreign Languages

B2 Upper Intermediate

B2 Upper Intermediate

English

Research Areas

Computer Vision

Database and Data Structures

Artificial Intelligence, Computer Learning and Pattern Recognition

Academic Positions

2025 - Present

2025 - Present

Assistant Professor

Ankara Yildirim Beyazit University, Mühendislik Ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği

2010 - 2025

2010 - 2025

Lecturer

Gazi University, Tusaş - Kazan Meslek Yüksek Okulu, Bilgisayar Teknolojileri Bölümü

Managerial Experience

2021 - 2024

2021 - 2024

Assistant Manager of Research and Application Center

Gazi University, Araştırma Ve Uygulama Merkezleri

Articles

All (12)
SCI-E, SSCI, AHCI (9)
SCI-E, SSCI, AHCI, ESCI (10)
ESCI (1)
Scopus (9)
TRDizin (5)

Papers Presented at Peer-Reviewed Scientific Conferences

2025

2025

1. Power Cable Laying Route Optimization with a Traveling Salesman Problem Approach

Yakar A., AKIN M., ÖZTÜRK N.

13th IEEE International Conference on Smart Grid, icSmartGrid 2025, Glasgow, England, 27 - 29 May 2025, pp.761-765, (Full Text) identifier

2025

2025

2. Forecasting Solar Power Generation Using a Novel Hybrid Deep Learning Model with Attention Mechanisms

AKIN M., Canbay Y., Canbay P.

19th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2025, Antalya, Turkey, 20 - 22 May 2025, (Full Text) identifier

2024

2024

3. Investigation of Strategies for Expanding Capacity to Address Voltage Stability Challenges in Power Systems

FESLİ U., ÖZDEMİR M. B., AKIN M., ERTAŞ H.

4th International Conference on Smart Grid and Renewable Energy, SGRE 2024, Doha, Qatar, 8 - 10 January 2024, (Full Text) identifier

2024

2024

4. Deep Learning Based Phase Current Prediction Model in Three-Phase IGBT Two-Level Inverter for Electrical Drives

AKIN M., Canbay Y., OCAK C.

18th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2024, Gdynia, Poland, 24 - 26 June 2024, (Full Text) identifier

2024

2024

5. Privacy-Preserving Prediction of Electricity Consumption in Smart Grids

AKIN M., Canbay Y., Canbay P.

4th International Conference on Smart Grid and Renewable Energy, SGRE 2024, Doha, Qatar, 8 - 10 January 2024, (Full Text) identifier

2021

2021

6. Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation

Cetinkaya A. E., AKIN M., SAĞIROĞLU Ş.

14th International Conference on Information Security and Cryptology, ISCTURKEY 2021, Ankara, Turkey, 2 - 03 December 2021, pp.69-74, (Full Text) identifier

2021

2021

7. A Communication Efficient Federated Learning Approach to Multi Chest Diseases Classification

Cetinkaya A. E., AKIN M., SAĞIROĞLU Ş.

6th International Conference on Computer Science and Engineering, UBMK 2021, Ankara, Turkey, 15 - 17 September 2021, pp.429-434, (Full Text) identifier

2019

2019

8. Traffic Flow Forecasting Model with Density Based Clustering Algorithm Yogunluk Tabanli Kümeleme Algoritmasi ile Trafik Akis Tahmin Modeli

AKIN M., SAĞIROĞLU Ş., Degirmenci A.

1st International Informatics and Software Engineering Conference, IISEC 2019, Ankara, Turkey, 6 - 07 November 2019, (Full Text) identifier

2019

2019

9. Traffic Prediction Based on Big Data Perspective Büyük Veri Perspektifinden Trafik Tahmini Traffic Prediction Based on Big Data Perspective

AKIN M., SAĞIROĞLU Ş.

1st International Informatics and Software Engineering Conference, IISEC 2019, Ankara, Turkey, 6 - 07 November 2019, (Full Text) identifier

Books

2022

2022

1. Büyük Veri ve Yapay Zeka Tabanlı Kapalı Alan Konu Tespiti: iNavi

AKIN M., YILMAZ E., KÜÇÜKPEHLİVAN T., SAĞIROĞLU Ş.

in: Yapay Zeka ve Büyük Veri Kitap Serisi 4, Şeref SAĞIROĞLU; Mustafa Umut DEMİREZEN, Editor, Nobel Akademik Yayıncılık, Ankara, pp.185-209, 2022

2019

2019

2. SİBER TEHDİTLERDE SON NOKTA:İLERİ DÜZEY KALICI TEHDİTLER

SAĞIROĞLU Ş., AKIN M.

in: SİBER GÜVENLİK VE SAVUNMA : PROBLEMLER VE ÇÖZÜMLER, ŞEREF SAĞIROĞLU, MUSTAFA ŞENOL, Editor, GRAFİKER, Ankara, pp.1-432, 2019

Patent

2022

2022

Trafik yogunluk tahmin sistemi ve bunun yöntemi

Patent

Registered / Approved, The Invention Registration Number: TR 2021 012500 B , Standard Registration



Citations

Total Citations (SCOPUS): 96

h-index (SCOPUS): 5