Oguzhan Topsakal

• Doctor of Engineering
• Associate Professor of Instruction at University of South Florida

Machine Learning started to provide solutions to various challenges in many fields, including medicine. The objective assessment of rhinoplasty results has been a challenge since the assessment of beauty is subjective in nature. This study explores if Machine Learning can be used to accomplish the complex task of objective evaluating the outcome ev...

We introduce a novel and extensible benchmark for large language models (LLMs) through grid-based games such as Tic-Tac-Toe, Connect-Four, and Gomoku. The open-source game simulation code, available on GitHub, allows LLMs to compete and generates detailed data files in JSON, CSV, TXT, and PNG formats for leaderboard rankings and further analysis. W...

Alzheimer’s Disease, a progressive brain disorder that impairs memory, thinking, and behavior, has started to benefit from advancements in deep learning. However, the application of deep learning in medicine faces the challenge of limited data resources for training models. Transfer learning offers a solution by leveraging pre-trained models from s...

We introduce a new, publicly available testbed and benchmark called THALIA (Test Harness for the Assessment of Legacy information Integration Approaches) to simplify the evaluation of existing integration technologies and to enable more thorough and more focused testing. THALIA provides researchers with a collection of downloadable data sources rep...

Grid-based games, such as Tic-Tac-Toe, Connect-Four, and Gomoku, offer a valuable platform for evaluating large language models (LLMs) in reasoning, rule comprehension, and strategic thinking which are key skills for advancing Artificial General Intelligence (AGI). Current evaluation benchmarks often focus on tasks like natural language understandi...

This book offers a unique approach into explaining concepts of machine learning and deep learning. Each concept is presented at three tiers of depth: simplified, general, and detailed, allowing readers to progressively deepen their understanding. At the Simplified level, concepts are introduced intuitively, making them easy for beginners to grasp....

This study investigates the strategic decision-making abilities of large language models (LLMs) via the game of Tic-Tac-Toe, renowned for its straightforward rules and definitive outcomes. We developed a mobile application coupled with web services, facilitating gameplay among leading LLMs, including Jurassic-2 Ultra by AI21, Claude 2. the top perf...

Background: Facial surgeries require meticulous planning and outcome assessments, where facial analysis plays a critical role. This study introduces a new approach by utilizing three-dimensional (3D) imaging techniques, which are known for their ability to measure facial areas and volumes accurately. The purpose of this study is to introduce and ev...

Automated Machine Learning (AutoML) is a subdomain of machine learning that seeks to expand the usability of traditional machine learning methods to non-expert users by automating various tasks which normally require manual configuration. Prior benchmarking studies on AutoML systems—whose aim is to compare and evaluate their capabilities—have mostl...

Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models without extensive technical knowledge. This study delves into these tools in the context of time se...

This book offers a unique journey into deep learning, told through memorable stories. Each deep learning concept in this book is explored through three different stories, and each story is packed with clever analogies to help you understand better. After each tale, these insightful analogies are further clarified. Following the stories, each concep...

Globally, over 17 million people annually die from cardiovascular diseases, with heart disease being the leading cause of mortality in the United States. The ever-increasing volume of data related to heart disease opens up possibilities for employing machine learning (ML) techniques in diagnosing and predicting heart conditions. While applying ML d...

Augmented Reality (AR) technology has been utilized in many fields, including language education. However, there is limited research on its application in early childhood education. This paper focuses on the statistical analysis of an AR application's efficacy for learning new vocabulary at the pre-elementary school level. We used a pre-test/post-t...

Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis. EEG is a non-invasive medical test for quantifying electrical activity in the brain. Applying machine learning (ML) to EEG data for e...

This book offers a unique journey into machine learning, told through memorable stories. Each concept in this book is explored through three different stories, and each story is packed with clever analogies to help you understand better. After the stories, we present each concept at three tiers of depth: simplified, general, and detailed, allowing...

This paper presents a comprehensive exploration of automatic machine learning (AutoML) tools in the context of classification and regression tasks. The focus lies on understanding and illustrating the potential of these tools to accelerate and optimize the process of machine learning, thereby making it more accessible to non-experts. Specifically,...

This paper discusses the development and implementation of an innovative suite of applications designed to facilitate the digitalization of facial surgeries, with a particular focus on rhinoplasty. Developed to infuse quantifiable measures into a surgical field often evaluated using qualitative metrics, these tools represent a significant step towa...

This study focuses on the utilization of Large Language Models (LLMs) for the rapid development of applications, with a spotlight on LangChain, an open-source software library. LLMs have been rapidly adopted due to their capabilities in a range of tasks, including essay composition, code writing, explanation, and debugging, with OpenAI’s ChatGPT po...

Interactive learning environments play a crucial role in facilitating effective education. Traditional approaches to teaching algorithm design techniques often lack interactivity, resulting in a limited learning experience. In this article, we propose the utilization of Jupyter Notebooks, renowned for their versatility in combining code, visualizat...

Background: Morphometric changes achieved in rhinoplasty are mostly analyzed on two-dimensional (2D) images. However, most of these alterations are amenable to three-dimensional (3D) analysis. Objectives: Objective measurements for rhinoplasty are currently done on 2D photographic analyses. We believe that newer techniques will develop. This is...

AI applications are becoming more and more prevalent each day. ChatGPT is a recent AI tool that has amazed many people with its capabilities. It is expected that large language model solutions like ChatGPT will provide unique solutions and transform many industries. In many medical educational institutions, it is desired that medical students exper...

Facial landmark detection, a crucial aspect of face recognition, is widely used in various fields, such as facial surgeries, biometrics, and surveillance systems. With the advancement of affordable and capable 3D scanning technologies, research on automatically detecting facial landmarks on 3D models is gaining momentum. Utilizing the geometric pro...

The increased availability and affordability of 3D scanning technology due to recent advancements have made pre and post-operative analysis for facial surgeries more convenient and accurate through the use of 3D patient scans. However, to perform a more comprehensive analysis using area and volume measurements, it is necessary to develop new softwa...

The cognitive capabilities of children develop during the early years of their life. Research shows that learning a foreign language helps develop cognitive skills. Moreover, learning a foreign language has become essential and an increasing number of parents would like their kids to start learning a foreign language at an early age. However, engag...

PurposeRhinoplasty is one of the most common and challenging plastic surgery procedures. Facial analysis is a crucial step in planning. Utilizing three-dimensional (3D) model of a patient’s face is an emerging way of performing facial analysis. This paper evaluates the agreement and reliability of facial measurements taken using a web app, located...

Background Algorithms define a sequence to approaching a subject. This study represents a scoping review seeking to define the role of surgical algorithms in rhinoplasty.MethodsA scoping review was conducted. Pubmed/MEDLINE, Web of Science, and Google Scholar, as well as a citation searching was performed to find eligible studies for review. Eligib...

Background Facial features and measurements are utilized to analyze patients’ faces for various reasons, including surgical planning, scientific communications, patient-surgeon communications, and post-surgery evaluations. Objectives There are numerous descriptions regarding these features and measurements scattered throughout the literature and w...

PurposeRhinoplasty is one of the most common and challenging plastic surgery procedures. The results of the operation have a significant impact on the facial appearance. The planning is critical for successful rhinoplasty surgery. In this paper, we present a web application designed for preoperative rhinoplasty surgery planning.Methods The applicat...

The goal of this study is to see if Augmented Reality (AR) helps to motivate preschool kids and engage them in foreign language learning activities. The study conducts an experimental study to compare traditional approaches with an AR app for teaching a foreign language to preschool kids. Data were collected from experiments performed at three dayc...

Augmented Reality (AR) has a high potential to help healthcare professionals in the operating room and researchers have been working on bringing AR to the operating room for many different types of surgeries so far. However, there are thousands of surgery types that might benefit from the AR. Our goal is to identify which surgeries could benefit th...

Mobile technology has been advancing in countless directions, and in particular medicine has been an attractive place for mobile technology innovators. The recording of surgical procedures, however, has not been one of those directions, possibly because there is a lack of software specifically designed for recording open surgical procedures. Using...

Integration and coordination of distributed processes remains a central challenge of construction information technology research. Extant technologies, while capable, are not yet scalable enough to enable rapid customization and instantiation for specific projects. Specifically, the heterogeneity of existing legacy sources together with firms’ rang...

The integration of heterogeneous legacy databases requires understanding of database structure and content. We previously developed a theoretical and software infrastructure to support the extraction of schema and business rule information from legacy sources, combining database reverse engineering with semantic analysis of associated application c...

The integration of heterogeneous legacy databases requires understanding of database structure and content. We previously developed a theoretical and software infrastructure to support the extraction of schema and business rule information from legacy sources, combining database reverse engineering with semantic analysis of associated application c...

We describe a methodology for extracting semantic information from legacy application code to enable rapid development of adapters and wrappers, for example, when integrating heterogeneous legacy sources to improve coordination of processes across firms participating in a supply chain. In particular, we describe the algorithm we have developed to e...

ABSTRACT: As the need increase for enterprises to participate in large business networks (e.g., supply chains), the need to optimize these networks to ensure profitability also increases. However, because of the heterogeneities of the underlying legacy information systems, existing integration techniques fall short of enabling the automated sharing...