Furkan Gözükara

Hello everyone. My name is Furkan Gözükara. I am a Ph.D. Computer Engineer. I am happy to share with you my full course videos regarding Software Engineering. I am expert in C#, ASP.NET Webforms, ASP.NET MVC, .NET Framework, .NET Core. MSSQL. I have been developing 2 web-based free-to-play MMORPG games since I graduated from university.You can check out my games from Google by searching for MonsterMMORPG and PokemonPets.My Education Is As Follows:[1] Bachelor of Science (BSc): Istanbul Technical University, Istanbul - Computer Engineering (2004 - 2009)[2] Master of Science (MSc): Mersin University, Mersin - Computer Engineering (2010 - 2012)[3] Doctor of Philosophy (Ph.D.): Çukurova University, Adana - Computer Engineering (2012 - 2016)My Skills Are As Follows:Back-End ProgrammingC# .NET Framework *****ASP.NET Web Forms *****ASP.NET Core MVC *****C# .NET Core *****S-SQL *****Python **Front-End ProgrammingWPF ***CSS ***HTML ***jQuery **Javascript **ExperiencedMultithreading *****Database Design *****Query Optimization *****Database Indexing *****Clustering ****Classification ****Data Mining ****NLP ****Machine Learning ****Google Cloud API Speech to Text ****Windows Server Hosting ****Custom Web API ****Deviantart API ****I Have Instructed the Following Courses in a Private University*Postgraduate - Turkish*-> Software Engineering-> Computer Skills-> Graduation Project*Undergraduate - English*-> Introduction to Programming I-> Introduction to Programming 2-> Advanced Programming-> Object Oriented Programming-> Advanced Responsive Web Design With CSS and Bootstrap (ASP .NET Core 6 MVC used)-> Artificial Intelligence and Machine Learning-> Security of Information Systems-> Graduation Project-> Analysis of Algorithms-> Career Planning-> Social Responsibility and Ethics*Associate Degree - Turkish*-> Information and Communication TechnologyI Have The Following Academic Publications:Master of Science Thesis - Mersin University-> DEVELOPING PRODUCT PRICE COMPARISON SEARCH ENGINEFurkan GÖZÜKARA, Zeki YETGINIn this thesis, e-commerce and online web markets are crawled via ourcrawling agent and many products information are collected from many different sources. These products’ information is saved in a designed database and then the noises are eliminated and feature vectors are generated using the proposed normalization and feature vectors extracting methods. The products having extracted features are tested via newly developed clustering algorithm and standard clustering algorithms, and performance analysis is presented. In addition, in this thesis new error metrics are proposed that calculates the error rate in clustering of the same products.doi: 10.13140/RG.2.2.28042.82884Journal - Turkish Journal of Electrical Engineering and Computer Sciences-> NEW METRICS FOR CLUSTERING OF IDENTICAL PRODUCTS OVER IMPERFECT DATAZeki YETGIN, Furkan GÖZÜKARAThis paper introduces the concept of product identity-clustering basedon new similarity metrics and new performance metrics for web-crawled products.doi: 10.3906/elk-1307-127Doctor of Philosophy Thesis - Çukurova University-> PRODUCT SEARCH ENGINE USING PRODUCT NAME RECOGNITION AND SENTIMENT ANALYSISFurkan GÖZÜKARA, Selma Ayşe ÖZELIn this study, a novel product search engine system which consists of afocused crawler, a record linkage system and a sentiment analyzer is proposed.doi:  10.13140/RG.2.2.12943.33443Journal - Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi -> A PRODUCT SEARCH ENGINE SUPPORTING “BEST PRODUCT” QUERIESFurkan GÖZÜKARA, Selma Ayşe ÖZELIn this study, a novel product search engine system which supports “findthe best products for a given category” type queries is proposed.doi: 10.21605/cukurovaummfd.316791Journal - Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi -> AN EXPERIMENTAL INVESTIGATION OF DOCUMENT VECTOR COMPUTATION METHODS FOR SENTIMENT ANALYSIS OF TURKISH AND ENGLISH REVIEWSFurkan GÖZÜKARA, Selma Ayşe ÖZELIn this study, we present experimental results of sentiment analysis onmovie and product reviews datasets that are in Turkish and English languages by using a Support Vector Machine (SVM) classifier.doi: 10.21605/cukurovaummfd.310341Journal - International Journal of Computer Science and Engineering (IJCSE)-> FOCUSED WEB CRAWLER DEVELOPMENT CHALLENGES: ECCRAWLERFurkan GÖZÜKARA, Selma Ayşe ÖZELIn this paper, the challenges encountered and the proposed solutions toattempt these problems are presented, while developing an original hand-crafted, full scale, robust and effective focused web crawler for E- commerce sites, named as EcCrawler, which is developed in C# programming language by using .NET 4.5 framework and MS-SQL Server 2014 database management system.researchgate /publication/338691823Journal - International Journal of Advanced Computer Science and Applications (IJACSA)-> EFFICIENT FEATURE SELECTION FOR PRODUCT LABELING OVER UNSTRUCTURED DATAZeki YETGIN, Abdullah ELEWI, Furkan GÖZÜKARAThe paper introduces a novel feature selection algorithm for labelingidentical products collected from online web resources.doi: 10.14569/IJACSA.2017.080750Journal - The Computer Journal-> AN INCREMENTAL HIERARCHICAL CLUSTERING BASED SYSTEM FOR RECORD LINKAGE IN E-COMMERCE DOMAINFurkan GÖZÜKARA, Selma Ayşe ÖZELIn this study, a novel record linkage system for E-commerce products ispresented.doi: 10.1093/comjnl/bxab179Journal - Forensic Science International: Digital Investigation -> CHALLENGES AND POSSIBLE SEVERE LEGAL CONSEQUENCES OF APPLICATION USERS IDENTIFICATION FROM CNG-LOGSFurkan GÖZÜKARAWe explored incorrect usage of CGNAT records to detect users of aspecific application and how it affected masses from a criminal perspective. In this paper, the dangers of such an approach will be investigated in-depth by providing an actual criminal case example from the ByLock cases. Furthermore, the paper also compares the reverse- tracking of CGNAT logs approach with the approach followed in another mobile chat application (EncroChat) in terms of cybercriminal mass investigations.doi: 10.1016/j.fsidi.2021.301312Course thumbnail sources: freepik - Garry Killian