Şükrü Ozan, Ph.D.

AdresGezgini Inc.’s core business areas are digital marketing solutions and web-based software development projects. The company was accredited as an R&D center by the Ministry of Industry and Technology of the Republic of Turkey in 2017. Our company’s sector remains one of the brightest sectors of the future that is taking traditional promotional campaigns and business management solutions, with a steady growth of over 20% every year in Turkey. Our company is in a precious position with its certified professional staff, accumulated knowledge, and high level of customer satisfaction. AdresGezgini follows the latest technological trends in internet technologies with its experience and its R&D projects. By being constantly up-to-date on its workflow processes using the latest technology, AdresGezgini offers consulting and project-based services on new internet technologies to thousands of businesses in its portfolio.

Since 2016, I have been the vice president of AdresGezgini Inc. formerly know as AdresGezgini Ltd.

AdresGezgini Ltd. was the corporate name when we officially established the company in 2006 with the other co-founders.

İzmir Institute of Technology is a public research university in İzmir, Turkey. İYTE maintains a strong emphasis on the natural sciences and engineering and is the only institute of its kind in Turkey with a special focus on scientific research

I worked as a research assistant in Electrical and Electronics Engineering Department between years 2004 and 2011.

Yaşar University is a university, in Izmir, Turkey on the Aegean Sea. The university faculty teaches in English, with programs at both the undergraduate and postgraduate level.

COMP4360 - Image Processing, aims to demonstrate basic aspects of image processing to computer engineering students. The course demonstrates the low and mid-level vision techniques such as filtering in the spatial and frequency domain, image enhancement, edge detection, image segmentation, image compression, and their applications using standard python libraries such as “pillow”.

İzmir Kâtip Çelebi University is a public university in İzmir, Turkey, established in 2010.

MEE404 - Machine Vision in Mechatronics, aims to demonstrate basic aspects of image processing to machatronics engineering students. The course demonstrates the low and mid-level vision techniques such as filtering in the spatial and frequency domain, image enhancement, edge detection, image segmentation, image compression, and their applications using standard python libraries such as “pillow”.

Manisa Celal Bayar University or is a public research university located in Manisa, Turkey. CBU traces its root back to 1959 as an independent sports and teachers' college in Manisa. The main campus is in Muradiye district of Manisa. The university is composed of 14 colleges, 3 schools, and 15 vocational schools.

CSE3113 - Introduction to Image Processing, aims to provide an introduction to image processing. The course demonstrates the low and mid-level vision techniques such as filtering in the spatial and frequency domain, image enhancement, edge detection, image segmentation, and their applications using standard python libraries.

İzmir Institute of Technology is a public research university in İzmir, Turkey. İYTE maintains a strong emphasis on the natural sciences and engineering and is the only institute of its kind in Turkey with a special focus on scientific research

PhD Thesis Abstract: In this thesis, we aim to capture realistic geometrical descriptions of real world scenes and objects with a special effort to characterize reflection properties. After a brief review of the stereo imaging literature, we show our contributions to enhance stereo matching performance by identifying and eliminating specular surface reflections. The identification of specular reflection can be done both passively and actively. We use dichromatic-based methods to identify and eliminate specular reflections passively. We utilize polarization imaging methods to do the same job actively. In this work we also study structured light based methods that can give better reconstruction results compared to stereo imaging methods. We propose three laser scanners equipped with a pair of line lasers and a method to calibrate these systems. Another convenient way to obtain good surface reconstruction results using structured light is to use projectors that can be used as a light source that project complicated patterns. We show our results from a digital camera-projector-based scanning system as well. This system can robustly generate a very dense reconstruction of surfaces. We also use the projector based scanning system to determine the surface reflection properties. Using high dynamic range imaging (HDRI) techniques makes it possible for us to estimate scene radiance values. Since we can determine the incoming and outgoing light directions, we are able to measure bidirectional reflectance distribution function (BRDF) values from reconstructed surface points for corresponding directions. If the sample surface have not only diffuse reflection components but also a sufficient amount of specular highlights, it is possible to approximate BRDF corresponding to a surface by fitting an analytical BRDF model to the measured data. In our work we preferred to use Phong BRDF model. Finally, we present results with rendered synthetic images where the parameter values of the Phong model were estimated using scans of real objects. Link to My PhD Thesis

İzmir Institute of Technology is a public research university in İzmir, Turkey. İYTE maintains a strong emphasis on the natural sciences and engineering and is the only institute of its kind in Turkey with a special focus on scientific research

MSc Thesis Abstract: Automatically recognizing and analyzing visual activities in complex nenvironments is a challenging and open-ended problem. In this thesis this problem domain is visited in a chess game scenario where the rules, actions and the environment are well defined. The purpose here is to detect and observe a FIDE (Federation International des Echecs) compatible chess board and to generate a log file of the moves made by human players. A series of basic image processing operations have been applied to perform the desired task. The first step of automatically detecting a chess board is followed by locating the positions of the pieces. After the initial setup is established every move made by a player is automatically detected and verified. A PC-CAM connected to a PC is used to acquire images and implement the corresponding software. For convenience, .Intel R Open Source Computer Vision Library (OpenCV). is used in the current software implementation. Link to My MSc Thesis

Middle East Technical University is a public technical university located in Ankara, Turkey. The university puts emphasis on research and education in engineering and natural sciences, offering about 40 undergraduate programs within 5 faculties, 97 masters and 62 doctorate programs within 5 graduate schools

Ozan Ş. Taşar D.E. and Özdil U., Deep Feature Generation for Author Identification. CBUJOS 17(2), 137 - 143 (2021).

Abstract: Identifying the authors of a given set of text is a well addressed and complicated task. It requires thorough knowledge of different authors’ writing styles and discriminating them. As the main contribution of this paper, we propose to perform this task using machine learning and deep learning methods, state-of-the-art algorithms, and methods used in numerous complex Natural Language Processing (NLP) problems. We used a text corpus of daily newspaper columns written by thirty authors to perform our experiments. The experimental results proved that document embeddings trained via neural network architecture achieve cutting edge accuracy in learning writing styles and identifying authors of given writings even though the dataset has a considerably unbalanced distribution. We represent our experimental results and outsource our codes for interested readers and natural language processing (NLP) enthusiasts as a GitHub repository. They can reproduce and confirm the results and modify them according to their own needs.

Ozan Ş., Case studies on using natural language processing techniques in customer relationship management software. J Intell Inf Syst 56, 233–253 (2021).

Abstract: How can we use a text corpus stored in a customer relationship management (CRM) database for data mining and segmentation? To answer this question, we inherited the state of the art methods commonly used in natural language processing (NLP) literature, such as word embeddings, and deep learning literature, such as recurrent neural networks (RNN). We used the text notes from a CRM system taken by customer representatives of an internet ads consultancy agency between 2009 and 2020. We trained word embeddings by using the corresponding text corpus and showed that these word embeddings could be used directly for data mining and used in RNN architectures, which are deep learning frameworks built with long short-term memory (LSTM) units, for more comprehensive segmentation objectives. The obtained results prove that we can use structured text data populated in a CRM to mine valuable information. Hence, any CRM can be equipped with useful NLP features once we correctly built the problem definitions and conveniently implement the solution methods.

Ozan Ş. Gümüştekin Ş., Reconstruction of geometrical and reflection properties of surfaces by using structured light imaging technique. Turkish Journal of Electrical Engineering and Computer Science. 2018; 26(6): 2846-2857.

Abstract: When a robust and dense surface reconstruction is aimed, structured light imaging techniques are usually much appreciated. In this paper we propose a method to reconstruct both geometrical and reflective properties of surfaces by using structured light imaging. We use a technique where a camera and a projector are both treated as viewing devices. They are calibrated in the same manner. Each visible point can be correctly located on both image planes without solving a correspondence problem; hence, a dense reconstruction can be obtained. Since both the camera and the projector are explicitly calibrated, lighting and viewing directions can be identified for each surface point. It is also possible to measure reflected radiance by using high dynamic range (HDR) images for each surface point. The lighting and viewing directions that are known after calibration are combined with the reflected radiance and the incoming irradiance measurements to determine the bidirectional reflectance distribution function (BRDF) values of the material at the reconstructed surface points. We illustrate the reconstruction of surface reflection properties of sample surfaces by fitting the Phong BRDF model to the BRDF measurements.

Ozan Ş. Gümüştekin Ş., Calibration of double stripe 3D laser scanner systems using planarity and orthogonality constraints, Digital Signal Processing,2014; 24: 231-243.

Abstract: In this study, 3D scanning systems that utilize a pair of laser stripes are studied. Three types of scanning systems are implemented to scan environments, rough surfaces of near planar objects and small 3D objects. These scanners make use of double laser stripes to minimize the undesired effect of occlusions. Calibration of these scanning systems is crucially important for the alignment of 3D points which are reconstructed from different stripes. In this paper, the main focus is on the calibration problem, following a treatment on the pre-processing of stripe projections using dynamic programming and localization of 2D image points with sub-pixel accuracy. The 3D points corresponding to laser stripes are used in an optimization procedure that imposes geometrical constraints such as coplanarities and orthogonalities. It is shown that, calibration procedure proposed here, significantly improves the alignment of 3D points scanned using two laser stripes.

Ozan Ş. Gümüştekin Ş., Enhancing stereo matching performance by colour normalisation and specularity removal, 2011; 47(20): 1124-1125.

Abstract: A method to enhance the performance of stereo matching is presented. The position of the specular light reflection on an object surface varies due to the change in the position of the camera, light source, object or all combined. Additionally, there may be situations exhibiting a colour shift owing to a change in the light source chromaticity or camera white balance settings. These variations cause misleading results when stereo matching algorithms are applied. In this reported work, a single-image-based statistical method is used to normalise source images. This process effectively eliminates non-saturated specularities regardless of their positions on the object. The effect of specularity removal is tested on stereo image pairs.

TEYDEB 1507 is a public supported SME R&D Project support granted by TÜBİTAK (i.e. The Scientific and Technological Research Council of Turkey is a national agency of Turkey whose stated goal is to develop "science, technology and innovation" policies, support and conduct research and development, and to "play a leading role in the creation of a science and technology culture" in the country.)

Project Title: DEVELOPMENT OF A SYSTEM TO DETECT FAKE CALLS BY CLASSIFYING RECORDINGS OF CALL CENTER TELEPHONE CALLS THROUGH MACHINE LEARNING

TEYDEB 1501 is a public supported INDUSTRY R&D Project support granted by TÜBİTAK.

Project Title: DEVELOPMENT OF A WEB-BASED PROJECT TRACKING SYSTEM THAT CAN MAKE BUSINESS AND PROJECT TRACKING, AUTOMATICALLY ASSIGN STAFF TO TASKS, AND MAKE AUTOMATIC REPORTING

TEYDEB 1501 is a public supported INDUSTRY R&D Project support granted by TÜBİTAK.

Project Title: GENERAL PURPOSE CHATBOT APPLICATION THAT CAN PRODUCE MEANINGFUL DIALOGUE WITH MACHINE LEARNING

TEYDEB 1501 is a public supported INDUSTRY R&D Project support granted by TÜBİTAK.

Project Title: DEVELOPMENT OF THE SYSTEM THAT PROVIDES THE AUTOMATIC DETECTION OF NEGATIVE CALL CENTER CALLS WITH DEEP ARTIFICIAL NEURAL NETWORKS BASED CLASSIFICATION ALGORITHMS

TEYDEB 1501 is a public supported INDUSTRY R&D Project support granted by TÜBİTAK.

Project Title: DEVELOPMENT OF THE SYSTEM THAT CAN MAKE SPEECH TO TEXT TRANSLATION FOR TURKISH LANGUAGE WITH STATE OF THE ART DEEP LEARNING ARCHITECTURES AND WORKS WITH SOFTWARE AS A SERVICE (SAAS) MODEL