MÜHENDİSLİK FAKÜLTESİ
ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ
 
 Adı Soyadı: DOÇ.DR. SERAL ÖZŞEN
Fakülte Adı:  MÜHENDİSLİK FAKÜLTESİ ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ ELEKTRONİK A.B.D.
Ana Bilim Dalı:  ELEKTRONİK
E-Mail :  seral selcuk.edu.tr
Telefon : 0(332)2232048
Adres : Selçuk Üniversitesi Elektrik-Elektronik Müh. Böl. Selçuklu-KONYA
Url :
 
  Kurum :

  Akademik Yayınlar:

YAYINLARVE DİĞER AKTİVİTELER

A.Uluslararası hakemli dergilerde yayımlanan makaleler

A-1)SCI, SCI-expanded, SSCI, AHCI’de yer araştırma makalesi:

A-1.1.Seral Şahan,Halife Kodaz, Salih Güneş, Kemal Polat, "A New Classifier Based onAttribute Weighted Artificial Immune system (AWAIS)", Lecture Notes inComputer Science, Vol.3280, pp.11-20, 2004.

A-1.2Kemal Polat, Seral Şahan, HalifeKodaz, Salih Güneş, “A New Classification Method for Breast Cancer Diagnosis:Feature Selection Artificial Immune Recognition System (FS-AIRS)”, LectureNotes in Computer Science, Vol.3611, , pp. 834-842, 2005.

A-1.3Kemal Polat, Seral Şahan, HalifeKodaz, Salih Güneş, "Outdoor Image Classification Using Artificial ImmuneRecognition System (AIRS) with Performance Evaluation by Fuzzy ResourceAllocation Mechanism" , Lecture Notes in Computer Science, Vol. 3691, pp.81-87, 2005.

A-1.4Seral Şahan, Kemal Polat, HalifeKodaz, Salih Güneş, "The Medical Applications of Attribute WeightedArtificial Immune System(AWAIS): Diagnosis of Heart and DiabetesDiseases", Lecture Notes in Computer Science, Vol.3627, pp.456-468, 2005.

A-1.5Kemal Polat, Seral Şahan, SalihGüneş, “A new method to medical diagnosis: Artificial immune recognition system(AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia”,Expert Systems with Applications, Vol.31, pp.264-269, 2006.

A-1.6Seral Özşen, Sadık Kara, FatmaLatifoğlu, Salih Güneş,  “A NewSupervised Classification Algorithm in artificial immune systems with itsapplication to carotid artery doppler signals to diagnose atherosclerosis”,Computer Methods and Programs in Biomedicine, Vol. 88/3, pp.246-255, 2007.

A-1.7KemalPolat, Seral Şahan, SalihGüneş,“Breast cancer and liver disorders classification using artificial immunerecognition system (AIRS) with performance evaluation by fuzzy resourceallocation mechanism”, Expert Systems with Applications, Vol.32, pp.172-183,2007.

A-1.8Kemal Polat, Seral Şahan, SalihGüneş, “Automatic detection of heart disease using an artificial immunerecognition system (AIRS) with fuzzy resource allocation mechanism and k-nn(nearest neighbour) based weighting preprocessing”, Expert Systems withApplications, Vol. 32(2), pp.625-631, 2007.

A-1.9Kemal Polat, Seral Şahan, SalihGüneş, “A novel hybrid method based on artificial immune recognition system(AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis”,Expert Systems with Applications, Vol.32(4), pp.1141-1147, 2007.

A-1.10Fatma Latifoğlu, Seral Şahan, SadıkKara, Salih Güneş, “Diagnosis of athereclerosis from carotid artery dopplersignals as a real-world medical application of artificial immune systems”,Expert Systems with Applications, Vol. 33, pp.786-793, 2007.

A-1.11Şirzat Kahramanli, Salih Güneş, SeralŞahan, Fatih Başçiftçi,“A New Method Based on Cube Algebra for theSimplification of Logic Functions”, The Arabian journal for Science andEngineering, Vol. 32(1B), pp.101-114, 2007.

A-1.12Seral Şahan, Kemal Polat, HalifeKodaz, Salih Güneş “A new hybrid method based on fuzzy-artificial immune systemand k-nn algorithm for breast cancer diagnosis”, Computers in Biology andMedicine, Vol. 37(3),  pp.415-423, 2007.

A-1.13 Seral Özşen,Salih Güneş, “Effect of feature-type in selecting distance measure for anartificial immune system as a pattern recognizer”, Digital Signal Processing,Vol. 18(4), pp.635-645, 2008.

A-1.14Seral Özşen, Salih Güneş, “Attributeweighting via genetic algorithms for attribute weighted artificial immunesystem (AWAIS) and its application to heart disease and liver disordersproblems”, Expert Systems with Applications, Vol. 36, pp. 386-392, 2009.

A-1.15Halife Kodaz, Seral Özşen, AhmetArslan, Salih Güneş,  “Medicalapplication of information gain based artificial immune recognition system(AIRS): Diagnosis of thyroid disease”, Expert Systems with Applications, Vol. 36, pp. 3086-3092, 2009.

A-1.16Seral Ozşen, Salih Güneş, SadıkKara, and FatmaLatifoğlu, "Use of Kernel Functions in Artificial ImmuneSystems for TheNonlinear Classification Problems", IEEE Transactions onInformationTechnology in Biomedicine (SCI), 13(4), 621-628 (2009).

A-1.17Seral Ozşen, "Classification ofSleep Stages Using Class-Dependent Sequential FeatureSelection and ArtificialNeural Network", Neural Computing &Applications (SCI) , Vol. 23,1239-1250, 2013.

A-1.18Seral Ozşen, SalihGüneş,“Performance evolution of a newly developed general-use hybrid AIS-ANNsystem:AaA-response”, Turkish Journal of Elec.& Computer Sciences(SCI),Vol.21, 1703-1719, 2014.

A-1.19Seral Ozsen, Rahime Ceylan,"Comparison of AIS and fuzzy c-means clustering methods on theclassification of breast cancer and diabetes datasets", Turkisj Journal ofElec. & Comp. Sci., 22, (2014), 1241-1254.

A-1.20Seral Ozşen, Cüneyt Yücelbaş, “Onthe evolution of ellipsoidal recognition regions in Artificial Immune Systems”,Applied Soft Computing, Vol. 31, 210-222, 2015

A-1.21 MehmetDursun, Seral Özşen, CüneytYücelbaş, Şule Yücelbaş, Gülay Tezel, Serkan Küçüktürk, Şebnem Yosunkaya, “Anew approach to eliminating EOG artifacts from the sleep EEG signals for theautomatic sleep stage classification”, Neural Computing & Applications, Vol.28, pp.3095-3112, 2017

A-1.22 ŞuleYücelbaş, Cüneyt Yücelbaş, Gülay Tezel, SeralÖzşen, Serkan Küçüktürk, Şebnem Yosunkaya, “Pre-determination of OSA degreeusing morphological features of the ECG signal”, Expert Systems withApplications , Vol.81, pp.79-87, 2017

A-1.23 M.ÜsameÖziç, Seral Özşen, “3D Electronic Brain Atlas Model fort he Detection ofNeurogical Disorders”, Electronics World, Vol.123(1973), pp.26-29, 2017

A-1.24 CüneytYücelbaş, Şule Yücelbaş, Seral Özşen,Gülay Tezel, Serkan Küçüktürk, Şebnem Yosunkaya, “Automatic detection of sleepspindles with the use of STFT, EMD and DWT methods”, Neural Computing &Applications, Vol.29, pp.17-33, 2018.

A-1.25 CüneytYücelbaş, Şule Yücelbaş, Seral Özşen,Gülay Tezel, Serkan Küçüktürk, Şebnem Yosunkaya, “A novel system for automaticdetection of K-complexes in sleep EEG” Neural Computing & ApplicationsVol.29,pp.137-157, 2018

A-1.26 ŞuleYücelbaş, Cüneyt Yücelbaş, Gülay Tezel, SeralÖzşen, Şebnem Yosunkaya, “Automatic sleep staging based on SVD, VMD, HHTand morphological features of single-lead ECG signal”, Expert Systems withApplications, Vol.102, pp. 193-206, 2018

A-1.27 GüzinÖzmen, Seral Özşen, “A new denoising method for fMRI based on weightedthree-dimentional wavelet transform”, Neural Computing & Applications,Vol.29, pp.263-276, 2018

 

A-2)Diğer uluslararası hakemli dergilerdeki yayınlar

A-2.1Cüneyt Yücelbaş, Seral Özşen, SalihGüneş, Şebnem Yosunkaya, “Effect of Some Power Spectral Density EstimationMethods on Automatic Sleep Stage Scoring Using Artificial Neural Networks”,IADIS International Journal on Computer Science and Information Systems, Vol.8, No. 2, pp. 119-131, 2014.

A-2.2Cüneyt Yucelbas, Seral Ozsen, ŞuleYucelbas, Gülay Tezel, " Use of Gaussian-Euclidean Hybrid Function basedArtificial Immune System for Breast Cancer Diagnosis", InternationalJournal of electrical, Robotics, Electronics and Communications Engineering,Vol. 8, No.5, pp. 746-750, 2014.

A-2.3Şule Yucelbas, Gülay Tezel, Cüneyt Yucelbas, Seral Ozsen, "Diagnosisof the Heart Rhythm Disorders by UsingHybrid Classifiers ", International Journal of Computer, Information,Systems and  Control Engineering, Vol. 8,No. 5., pp. 676-682, 2014.

A-2.4 AhmetCoskun, Seral Ozsen, Sule Yucelbas,Cuneyt Yucelbas, Gulay Tezel, Serkan Kuccukturk and Sebnem Yosunkaya, “Detectionof REM in Sleep EOG Signals”, Indian Journal of Science and Technology, Vol9(25), 2016, DOI:10.17485/ijst/2016/v9i25/96631

 

A-2.5Cuneyt Yucelbas, Sule Yucelbas, SeralOzsen, Gulay Tezel, Serkan Kuccukturk and Sebnem Yosunkaya, “Detection ofSleep Spindles in Sleep EEG by using the PSD Methods”, Indian Journal ofScience and Technology, Vol 9(25), 2016, DOI:10.17485/ijst/2016/v9i25/96628

A-2.6 SuleYucelbas, Seral Ozsen, CuneytYucelbas, Gulay Tezel, Serkan Kuccukturk and Sebnem Yosunkaya, “Effect of EEGTime Domain Features on the Classification of Sleep Stages”, Indian Journal ofScience and Technology, Vol 9(25), 2016, DOI:10.17485/ijst/2016/v9i25/96630

A-2.7 M.ÜsameÖziç, A. Hakan Ekmekçi, Seral Özşen, “Creation of 3D Volume Loss Mask and MeanPerformance Analysis on 3d MR Images”, Journal of Biomedical Engineering andMedical Imaging, Vol.4(3), p.36, 2017

 

B-UluslararasıBildiriler

B-1)Tam metinli bildiriler (Yabancı dilde sözlü sunulan)

B-1.1Seral Şahan, Halife Kodaz, SalihGüneş, Kemal Polat, "A New Classifier Based on Attribute WeightedArtificial Immune system(AWAIS)", 19th International Symposium on Computerand InformationSciences, Lecture Notes in Computer Science 3280, 11-20 pp.,Antalya, Türkiye,2004.

B-1.2Seral Şahan, Kemal Polat, HalifeKodaz, Saslih Güneş, "The Medical Applications ofAttribute WeightedArtificial Immune System(AWAIS) : Diagnosis of Heart andDiabetesDiseases", The 4th International Conference on Artificial ImmuneSystems(ICARIS’2005), Lecture Notes in Computer Science 362, 456-468 pp.,Alberta,Kanada, 2005.

B-1.3Kemal Polat, Seral Şahan, HalifeKodaz, Salih Güneş, "Outdoor Image Classification UsingArtificial ImmuneRecognition System (AIRS) with Performance Evaluation byFuzzy ResourceAllocation Mechanism", The 11th International Conference onComputerAnalysis of Images and Patterns, Lecture Notes in Computer Science3691, 81-87pp., Fransa, 2005.

B-1.4Kemal Polat, Seral Şahan, HalifeKodaz, Salih Güneş, "A New Classification Method forBreast CancerDiagnosis: Feature Selection Artificial Immune RecognitionSystem(FS-AIRS)", International Conference on Natural Computation 2005,LectureNotes in Computer Science 3611, 834-842 pp., China, 2005.

B-1.5Seral Özşen, Salih Güneş, MehmetDursun, Şebnem Yosunkaya, "Analysis of EEG, EMG and EOGSignals SleepStaging", 1st International Symposium on Computing inScience &Engineering, Proceedings, 606-609 pp., Aydın, Türkiye, 2010.

B-1.6Salih Güneş, Seral Özşen, MehmetDursun, Şebnem Yosunkaya," Analysis of Welch Spectrum Estimation Method inDetermining Sleep StagesUsing EEG Signals", 7th International Symposium onIntelligent&Manufacturing Systems(IMS2010), Proceedings Book, 543-553 pp.,Sarajevo,BosniaHerzegovina,2010.

B-1.7Seral Özşen, Hakan Özşen, CemŞensöğüt, "Determination of Combustion Degree of Some CoalSamples From theShort and Sulphur Analysis Results by Using Artificial NeuralNetwork",11th International Multidisciplinary Scientific GeoConference,Proceedingsbook  Volume I, 759-766 pp.,Varna, Bulgaristan,Haziran,2011.

B-1.8Mehmet Dursun, Salih Güneş, Seral Özşenand Şebnem Yosunkaya, "Comparison of ArtificialImmune Clustering withFuzzy C-means Clustering in the sleep stageclassification problem", 2012International Symposium on Innovations inIntelligent Systems and Applications(INISTA), Proceedings Book, IEEE CONFERENCE PUBLICATIONS, 1-4 pp., Trabzon,Türkiye, 2012.

B-1.9Cüneyt Yücelbaş, Seral Özşen, SalihGüneş, Şebnem Yosunkaya, “Effect of Some Power SpectralDensity EstimationMethods on Automatic Sleep Stage Scoring Using Artificial Neural Networks”,IADIS International Conference Intelligent Systems and Agents,Prag, 2013.

B-1.10Cüneyt Yucelbas, Seral Ozsen, SuleYucelbas, Gülay Tezel, " Use of Gaussian-Euclidean Hybrid Function basedArtificial Immune System for Breast Cancer Diagnosis",  ICCI 2014: XII International Conference onComputational Intelligence, 22-23 May, Berlin, Germany ,2014.

B-1.11Şule Yucelbas, Gülay Tezel, Cüneyt Yucelbas, Seral Ozsen, "Diagnosisof theHeart Rhythm Disorders by Using Hybrid Classifiers ",  ICCI 2014: XII International Conference onComputational Intelligence, 22-23 May, Berlin, Germany, 2014.

B-1.12 CüneytYücelbaş, Şule Yücelbaş, Seral Özşen, Gülay Tezel, Mehmet Dursun, SerkanKüççüktürk ve Şebnem Yosunkaya, “Comparison of SFFS and PCA Methods for theDetermination of Sleep Spindles in Sleep EEG Signal Using Time DomainFeatures”, The International Conference On Science, Ecology And Technology I(Iconsete’2015 – Vienna, 2015.

B-1.13 ŞuleYücelbaş, Cüneyt Yücelbaş, Seral Özşen, Gülay Tezel, Mehmet Dursun, SerkanKüççüktürk ve Şebnem Yosunkaya, “Effect On The Classification Results of ECGArtifacts in Full Night Sleep EEG”, The International Conference On Science,Ecology And Technology I (Iconsete’2015 – Vienna, 2015.

B-1.14 AhmetCoskun, Seral Ozsen, Sule Yucelbas,Cuneyt Yucelbas, Gulay Tezel, Serkan Kuccukturk and Sebnem Yosunkaya, “Detectionof REM in Sleep EOG Signals”, International Conference on Green Computing andEngineering Technologies, 18-20 August 2016, Esbjerg, Denmark

 

B-1.15Cuneyt Yucelbas, Sule Yucelbas, SeralOzsen, Gulay Tezel, Serkan Kuccukturk and Sebnem Yosunkaya, “Detection ofSleep Spindles in Sleep EEG by using the PSD Methods”, International Conferenceon Green Computing and Engineering Technologies, 18-20 August 2016, Esbjerg,Denmark

B-1.16 SuleYucelbas, Seral Ozsen, CuneytYucelbas, Gulay Tezel, Serkan Kuccukturk and Sebnem Yosunkaya, “Effect of EEGTime Domain Features on the Classification of Sleep Stages”, InternationalConference on Green Computing and Engineering Technologies, 18-20 August 2016,Esbjerg, Denmark

B-1.17 SeralÖzşen, “Arousal Detection With The Useof EMD and SVD Methods”, 2 INTERNATIONALCONFERENCE ON SCIENCE, ECOLOGY AND TECHNOLOGY, (ICONSETE'2016 ), Barcelona,Spain.

B-1.18 GüzinÖzmen, Seral ÖZŞEN, Burak YILMAZ, “Denoising MR Images With Weighted 3DDiscrete Wavelet Transform”, 4th International Conference on AdvancedTechnology & Sciences (ICAT’Rome), November 23-25, 2016 Rome – Italy.

B-1.19 M.ÜsameÖziç, Seral Özşen, A. Hakan Ekmekçi, “NOVEL FEATURE EXTRACTION APPROACH WITHVBM 3D ROI MASKS ON MRI” , International Conference on Medical and BiologicalEngineering, Bosnia and Herzegovina, 16-18 March 2017

B-1.20 GüzinÖzmen, Seral Özşen, Burak Yılmaz, “Determination of weight coefficients usingFuzzy Logic in weighted 3D Discrete Wavelet Transform ”, 5thInternationalConference on Advanced Technology & Sciences (ICAT’İstanbul),May 09-12,2017 İstanbul-Türkiye.

B-1.21 GüzinÖzmen, Seral Özşen,” Effect of 3D Discrete Wavelet Transform Based Filtering onDetection of Brain Activations by GLM in Functional MRI” Irsysc 2017 – 3rdInternatıonal Researchers, Statıstıcıans And Young Statıstıcıans Congress,Konya-Turkey (ÖZET)

B-1.22 M.ÜsameÖziç, Seral Özşen, “T-test feature ranking based 3D MR classification with VBMmask”, 2nd international workshop on machine learning for understanding thebrain, in signal processing and communications applications conference (SIU),.IEEE, Antalya, 2017

B-1.23 M.ÜsameÖziç, Seral Özşen, “Analysis of Limbic System Volume with Atlas Based VolumeMEasurement Pipeline on Alzheimer Disease”, International Conference onAdvences and Innovationsin engineering, ICAIE, pp.34-38, Elazığ, 2017

B.1.24 M.ÜsameÖziç, Seral Özşen, “A new model to determine asymmetry coefficients on MR imagesusing PSNR and SSIM”, International Artificial Intelligence and Data ProcessingSyemposium’17, IEEE, Malatya, 2017

B.1.25 M.ÜsameÖziç, Seral Özşen, A. Hakan Ekmekçi, “Voxel based Morphometric Analysis on MRImages”, International Artificial Intelligence and Data ProcessingSymposium’17, Malatya, 2017

 

 

 

B-2)Yabancı dilde poster olarak sunulan ve tam metin yayınlananlar

B-2.1Seral Şahan, Salih Güneş, "Immuno Theory Applications In NeuralNetworks", Eleco'03,Proceedings Book, 389-393 pp., Bursa,Türkiye, 2003.

 

E-UlusalBildiriler

E-1)Tam metinli bildiriler (Sözlü sunulan ve tam metin yayınlananlar)

E-1.1Kemal Polat, Seral Şahan, HalifeKodaz, Salih Güneş,  "KaraciğerRahatsızlığı Teşhisinde Yeni Bir SınıflamaYöntemi: AIRS" , IEEE 13. Sinyalİşleme ve İletişim Uygulamaları KurultayıSIU'05,169-174, Kayseri, Türkiye,2005.

E-1.2Seral Özşen, Salih Güneş, ŞebnemYosunkaya, "EEG, EOG ve Çene EMGSinyallerinden elde edilen Zaman veFrekans Domeni Özelliklerinin Uyku Evreleme üzerindeki Etkisinin İncelenmesi", BIYOMUT'2010, Antalya, Türkiye,1-4, 2010.

E-1.3Alpaslan Ersöz, Seral Özşen, “UykuEEG Sinyalinin Yapay Sinir Ağ Modeliile sınıflandırılması”, Fırat ÜniversitesiElektrik-Elektronik-BilgisayarSempozyumu, FEEB-2011, BildirilerKitabı-2,298-301, Elazığ-Türkiye, 2011.

E-1.4Barış Akıncı, Seral Özşen, “Yapaysinir ağları kullanarak otomatik araç pilotu tasarlanması”, Fırat ÜniversitesiElektrik-Elektronik-BilgisayarSempozyumu, FEEB-2011, BildirilerKitabı-2,211-216, Elazığ-Türkiye, 2011.

E-1.5Cüneyt Yücelbaş, Seral Özşen,"Elipsoit Tanıma Çemberli Bir YapayBağışıklık Sistemi Tasarımı veSınıflama Problemlerindeki PerformansAnalizi", BİYOMUT'2012, BildirilerKitabı, 134-136 pp., İstanbul, Türkiye,Ekim 2012.

E-1.6Cüneyt Yucelbas, Seral Ozsen,Bünyamin Ergül, Şebnem Yosunkaya, " Uyku EEG sinyalinden EKGgürültülerinin Elenmesi",  ÇankayaÜniversitesi, 7. Mühendislik ve Teknoloji Sempozyumu, syf: 107:112, 2014,Ankara.

E-1.7Cüneyt Yücelbaş, Seral Özşen, ŞuleYücelbaş, Gülay Tezel, Mehmet Dursun, Şebnem Yosunkaya, Serkan Küççüktürk,“Uyku Sinyallerindeki Elektrod Kopukluğunun Tespit Edilmesi”, IEEE, 23.cüSinyal İşleme ve İletişim Uygulamaları Kurultayı, sayfa 227-231, Malatya, 2015.

E-1.8Seral Özşen, Mehmet Dursun, ŞebnemYosunkaya, “Uyku İğciği Tespitinde Bazı Spektral Analiz Yöntemlerinin YSAkullanılarak Karşılaştırılması”, IEEE, 23. Sinyal İşleme ve İletişimUygulamaları Kurultayı, sayfa 542-546, Malatya, 2015.

E-1.9 Seral Özşen,Cüneyt Yücelbaş, Şule Yücelbaş, Gülay Tezel, Şebnem Yosunkaya, Serkan Küçüktürk,“Uyku evrelemede EMG Gürültülerinin EEG Sinyalinden Elenmesi”, IEEE, 24. Sinyalİşleme ve İletişim Uygulamaları Kurultayı, 16-19 Mayıs 2016, Zonguldak.

 

 

 



  Yönetilen Tezler
1. Veysel Gökdemir, " DEMİRYOLU BALİZLERİNİN DURUM TAKİP SİSTEMİ TASARIMI VE GERÇEKLEŞTİRİLMESİ ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans, Elektrik-Elektronik Mühendisliği A.B.D., 2015 - 2017, Tamamlandı
2. Güzin ÖZMEN, " Fonksiyonel MR Görüntülerini Filtrelemede Yeni Bir Yaklaşım ve Depresyon Hastalarının Sınıflandırılması Üzerine Etkileri ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Doktora, Elektrik-Elektronik Mühendisliği A.B.D., 2015 - 2018, Tamamlandı
3. Ahmet Coşkun, " ELEKTROOKUOGRAFİ (EOG) SİNYALLERİ İLE UYKU EVRELEME ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans, Elektrik-Elektronik Mühendisliği A.B.D., 2015 - 2017, Tamamlandı
4. Cüneyt YÜCELBAŞ, " Online Uyku İzleme ve Evreleme Sistemi için Sinyal Bileşenlerinin Çıkarımı ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Doktora, Elektrik Elektronik Mühendisliği, 2013 - 2017, Tamamlandı
5. Gökhan ÖZBEK, " SAVUNMA SEKTÖRÜNDE RADYO FREKANSLI TANIMA ( RFID) SİSTEMLERİNİN UYGULANMASI ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans, Elektrik Elektronik Mühendisliği, 2012 - 2014, Tamamlandı
6. Cüneyt Yücelbaş, " Elipsoid Tanıma Çemberli bir Yapay Bağışıklık Sistemi Tasarımı ve Sınıflama Problemlerindeki Performans Analizi ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans, Elektrik Elektronik Mühendisliği, 2011 - 2012, Tamamlandı
7. Fuat Yalçınlı, " ALGILAMA VE ÖZELLİK ÇIKARTMA TABANLI MANYETİK ARAÇ SENSÖRÜ TASARIMI ", Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans, Elektrik Elektronik Mühendisliği, 2010 - 2013, Tamamlandı

  Yöneticilik Görevleri:

 Kurum İçi Yöneticilik Görevleri:
BirimGörevBaşlangıç TarihiBitiş Tarihi
S.Ü. Mühendislik-Mimarlik Fakültesi Elektrik-Elektronik Mühendisliği Bölümü Elektronik A.B.D.Anabilim Dali Bşk.30/09/201007/10/2012
S.Ü. Mühendislik Fakültesi Elektrik-Elektronik Mühendisliği Bölümü Elektronik A.B.D.Anabilim Dali Bşk.07/10/201211/08/2014
S.Ü. Mühendislik Fakültesi Elektrik-Elektronik Mühendisliği Bölümü Elektronik A.B.D.Anabilim Dali Bşk.27/07/2016 

 Ek Bilgi

 Dersler
Dersin Adı
DIGITAL SIGNAL PROCESSING (E.C.)
ELEC.-ELT. ENGINEERING PRACTICE 1
ELEC.-ELT. ENGINEERING PRACTICE 2
ELECTRICAL & ELECTRONICS DESIGN
ELECTRONICS LAB.
ELECTRONICS 1
ELECTRONICS 2
ELEKTR. - ELEKTRON. MÜH. UYGULAMASI 2
ELEKTR. ELEKTRON. MÜH. UYGULAMASI 1
ELEKTRİK ELEKTRONİK TASARIM
ELEKTRONİK LAB.
ELEKTRONİK 1
ELEKTRONİK 2
ELK.- ELEKTRONİK MÜH. UYG. 1
ELKTR.- ELEKTRON. MÜH. UYG. 2
LİSANS DANIŞMANLIĞI
OLASILIK VE İSTATİSTİK
PROBABILITY AND STATISTICS
SAYISAL İŞARET İŞLEME (S. D.)
SAYISAL İŞARET İŞLEME (S.D.)