Curriculum Vitae
Dr. Alper Baştürk
Erciyes University • Computer Engineering
Dr. Baştürk received his BS degree in Electronics Engineering from Erciyes University in July 1998. Following his graduation, he joined the Department of Electronics Engineering as a research assistant. He subsequently completed his MS degree in August 2001 and his PhD in November 2006 at the same institution. In 2006, he also joined the Department of Computer Engineering at Erciyes University as a faculty member.
His academic career includes post-doctoral research at Rensselaer Polytechnic Institute (RPI). Currently, he serves as a full Professor in the Computer Engineering Department at Erciyes University.
Throughout his career, Dr. Baştürk has been interested in the architecture of intelligence—specifically how algorithms can be designed to process complex data and optimize decisions.
Dr. Baştürk is dedicated to translating fundamental research into efficient, scalable computational systems.
Education
Thesis: Noise Removal and Image Enhancement in Digital Images using Methods based on Soft Computing
Thesis: Fundamentals of Server-Based Applications and a Virtual Store Application
Professional Information
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Current Role
Professor (Prof. Dr.) @ Erciyes University
Director @ ERU Artificial Intelligence and Big Data Application and Research Center (ERU AI-ARC) (2025 - Present)
Founder : Sardis Innovation - Professional Focus Entrepreneur | FinTech 5.0 | Deep Learning & Signal Processing | AI Systems Engineering
- Department Computer Engineering
- Faculty Faculty of Engineering
- Location Kayseri, Türkiye
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Email
ab@erciyes.edu.tr
alperbasturk@gmail.com
Technical Scope
- Financial Technologies (FinTech): Designing and developing proprietary algorithmic trading architectures. His work focuses on analyzing market dynamics through statistical signal processing and modeling price actions using high-performance computing structures.
- Medical Decision Support Systems: Researching and implementing AI-driven models to assist in clinical decision-making processes and improve diagnostic accuracy through advanced signal processing.
- Human Resources Technologies: Developing next-generation, intelligent solutions to optimize HR workflows and enhance organizational decision-making using data analysis.
- Generative AI & LLMs: Leading studies on Large Language Model adaptation and curriculum development for Prompt Engineering, bridging the gap between theoretical AI models and practical application.
- High-Performance Computing (HPC): Architecting efficient, scalable systems using C programming and GPU acceleration to solve complex computational problems in real-time.
- Beyond the Lab: Dedicated Snooker Enthusiast and Curling Player. Proudly serving as the Advisory Professor for the Erciyes University Billiards Club.