Assoc Prof Dr. Serhat Kilicarslan | Neural Networks Award | Best Researcher Award
Software Engineer at Bandırma Onyedi Eylül University Faculty of Engineering and Natural Sciences, Turkey
Assoc. Prof. Dr. Serhat Kılıçarslan is a highly skilled and accomplished professional in the field of computer science and engineering. With a strong background in research, teaching, and practical applications, Dr. Kılıçarslan has made significant contributions to the field. His research expertise includes computer networks, Wireless Sensor Networks (WSNs), Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML). He is proficient in programming languages such as C, C++, Java, Python, and MATLAB, and has a deep understanding of networking concepts, protocols, and technologies. Dr. Kılıçarslan has published extensively in reputable journals and conferences, showcasing his analytical and problem-solving abilities. Overall, Dr. Kılıçarslan’s expertise and skills have positioned him as a valuable asset in advancing the field of computer science and engineering.
Professional Profiles:
Education:
Assoc. Prof. Dr. Serhat KILIÇARSLAN has a strong academic background in computer engineering, mechatronics engineering, and technical education. He completed his Bachelor’s degree in Computer Engineering at Kocaeli University in June 2017. Following this, he pursued a Master’s degree in Mechatronics Engineering at Gazi Osmanpaşa University, graduating in September 2014. For his Master’s thesis, he developed programming software for microcontroller-based PLCs under the guidance of Assoc. Prof. Dr. Gökhan GELEN. Dr. KILIÇARSLAN continued his academic journey by completing his Ph.D. in Computer Engineering at Erciyes University in September 2021. His doctoral thesis focused on the development of non-linear activation functions for deep learning methods, under the supervision of Assoc. Prof. Dr. Mete ÇELİK.
Experience:
Assoc. Prof. Dr. Serhat KILIÇARSLAN currently serves as a faculty member at Bandırma Onyedi Eylül University, Faculty of Engineering and Natural Sciences, Department of Software Engineering. He joined the university in 2022, where he contributes to the field of software engineering through research, teaching, and academic leadership. Before joining Bandırma Onyedi Eylül University, Dr. KILIÇARSLAN served as a lecturer at Gaziosmanpaşa University. He was involved in the Department of Informatics, where he also held the position of Department Chair. Additionally, he served as a lecturer at Gaziosmanpaşa University, Pazar Vocational School, Department of Computer Technologies, specializing in Computer Programming. Dr. KILIÇARSLAN’s experience in these roles has equipped him with valuable insights and expertise in the field of software engineering and computer programming.
Research Interest:
Assoc. Prof. Dr. Serhat Kılıçarslan has a diverse research background focusing on various aspects of computer science and engineering. His research interests span several key areas, including Wireless Sensor Networks (WSNs), Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Software-Defined Networking (SDN), Cloud Computing, Cyber-Physical Systems (CPS), Security, Privacy, and Big Data Analytics. In the realm of WSNs, Dr. Kılıçarslan explores the design, implementation, and optimization of WSNs for applications such as environmental monitoring, healthcare, and industrial automation. In the field of IoT, he delves into the architectures, protocols, and security mechanisms of IoT systems, aiming to enhance their efficiency, reliability, and security.
Skills:
Assoc. Prof. Dr. Serhat Kılıçarslan possesses a diverse set of skills in the field of computer science and engineering, honed through his research, teaching, and professional experiences. Some of his key skills include research skills, where he has a strong track record of publication in reputable journals and conferences. He is adept at formulating research questions, designing experiments, analyzing data, and drawing meaningful conclusions. Dr. Kılıçarslan is also proficient in programming languages such as C, C++, Java, Python, and MATLAB, which he applies in developing software solutions for various research projects. With a focus on computer networks, Dr. Kılıçarslan has expertise in networking concepts, protocols, and technologies, including TCP/IP, routing, switching, and network security. He is experienced in designing, implementing, and optimizing Wireless Sensor Networks (WSNs) and IoT systems for diverse applications, leveraging his knowledge of sensor technologies, communication protocols, and data processing techniques. Dr. Kılıçarslan applies Artificial Intelligence (AI) and Machine Learning (ML) techniques, such as neural networks, deep learning, and reinforcement learning, to solve complex problems in computer networks and related areas. He also has expertise in Software-Defined Networking (SDN), cloud computing, Cyber-Physical Systems (CPS), security, privacy, and Big Data Analytics. Overall, Dr. Kılıçarslan’s skills are integral to his contributions in advancing the field of computer science and engineering, with a focus on enhancing the efficiency, reliability, and security of modern computing systems and networks.
- Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification
- Authors: K Adem, S Kılıçarslan, O Cömert
- Year: 2019
- Citations: 162
- Diagnosis and Classification of Cancer Using Hybrid Model Based on ReliefF and Convolutional Neural Network
- Authors: S Kiliçarslan, K Adem, M Celik
- Year: 2020
- Citations: 82
- Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification
- Authors: S Kiliçarslan, M Celik, S Sahin
- Year: 2021
- Citations: 67
- RSigELU: A nonlinear activation function for deep neural networks
- Authors: S Kiliçarslan, M Celik
- Year: 2021
- Citations: 63
- DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS
- Authors: MK Yöntem, K Adem, T İlhan, S Kılıçarslan
- Year: 2019
- Citations: 57
- An overview of the activation functions used in deep learning algorithms
- Authors: S KILIÇARSLAN, A Kemal, M Çelik
- Year: 2021
- Citations: 24
- Detection and Classification of Pneumonia Using Novel Superior Exponential (SupEx) Activation Function in Convolutional Neural Networks
- Authors: S Kiliçarslan, Cİ Közkurt, S Baş, A Elen
- Year: 2023
- Citations: 21
- Performance analysis of optimization algorithms on stacked autoencoder
- Authors: A Kemal, S Kilicarslan
- Year: 2019
- Citations: 19
- COVID-19 Diagnosis Prediction in Emergency Care Patients using Convolutional Neural Network
- Authors: A Kemal, S KILIÇARSLAN
- Year: 2021
- Citations: 18
- Deep learning-based approaches for robust classification of cervical cancer
- Authors: I Pacal, S Kılıcarslan
- Year: 2023
- Citations: 13