Visiting Lecturer Dr.
Arif Selçuk
ÖĞRENCİ
Titles
| Start | End | Title | Place |
|---|---|---|---|
| 16 September 2013 | 31 August 2019 | Member of Faculty Promotions Committee | KHAS |
| 13 September 2004 | 31 August 2019 | Coordinator of Erasmus+ and Exchange Comittee | KHAS |
Career
| Start | End | Work | Position |
|---|---|---|---|
| 01 November 1999 | 31 August 2019 | FENS | Assistant Professor |
| 01 September 2019 | - | FENS | Visiting Faculty |
Education
| Education | University | Department | Date |
|---|---|---|---|
| PhD | Boğaziçi University | Electrical-Electronics Engineering | 1999 |
| MS | Boğaziçi University | Electrical-Electronics Engineering | 1995 |
| BS | Boğaziçi University | Electrical-Electronics Engineering | 1992 |
| BS | Boğaziçi University | Mathematics | 1992 |
Areas of interest
| Computational Intelligence | Effectice teaching |
Courses
| Code | Course Name | Course Location | Semester |
|---|---|---|---|
| SGS-501/601 | Research Methods and Scientific Ethics | Kadir Has University | Fall/Spring |
| EEE-208 | Electronics Design Project | Kadir Has University | Spring |
| KHAS-107 | Design | Kadir Has University | Fall |
| EE-332 | Electronic Circuits Lab II | Kadir Has University | |
| EE-331 | Electronic Circuits | Kadir Has University | |
| CE-344 | Database Management Systems | Kadir Has University | |
| EE-234 | Electronic Circuit Components | Kadir Has University | |
| GE-103 | Engineering Guide And Ethics | Kadir Has University |
Projeler
| Start | Start | Project Name | Project Type | Word | Fund Committee |
|---|---|---|---|---|---|
| 01.06.2014 | 31.12.2015 | Self Learning for Mobile GSM Network | DK | Araştırmacı-Researcher | Vodafone |
Yayınlar
| Title | Type | Publishing House | Year Released | Month | City | Journal Type |
|---|---|---|---|---|---|---|
| Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy | Makale | IEEE (Access) | 2020 | 09 | ABD | SCI-Exp, Q1 |
| A Hybrid Deep Learning Framework for Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data | Makale | MDPI (Applied Sciences) | 2020 | 07 | İsviçre | SCI-Exp, Q1 |
| Mathematical Models For Phase Transitions In Biogels | Makale | Modern Physics Letters B | 2019 | 09 | ABD | SCI |
| Transmitter source location estimation using crowd data | Makale | Elsevier (Computers & Electrical Engineering) | 2018 | 02 | Hollanda | SCI-Exp |
