Assistant Professor · Computer Engineering · Çankaya University
Machine learning and intelligent learning systems researcher. Specializes in advanced data augmentation, neuro-symbolic AI frameworks, and human-computer interaction (HCI) to engineer immersive, technology-enhanced learning environments at Çankaya University, Ankara.
Bridging advanced machine learning frameworks with robust intelligent learning systems and human-computer interaction models.
As an Assistant Professor within the Department of Computer Engineering at Çankaya University, my research covers the intersection of machine learning configurations, advanced data augmentation paradigms, and technology-enhanced instructional spaces. I analyze algorithmic applications alongside user behavioral interactions to optimize smart pedagogical architectures and engineering workflows.
Formulating structural high-coverage topic modeling methods combined with Large Language Model logic networks. Targeted at trend tracking systems across expansive technical and scholarly archives.
Evaluating presence criteria and interface control efficiencies by directly comparing hand-based vs. controller-driven interactions inside specialized Virtual Reality (VR) engineering ecosystems.
Developing structural organizational information security risk identification models tailored to the administrative constraints and parameters of civil aviation operations.
Proposing mathematical optimizations for robust regression algorithms to increase performance tolerance against outliers in linear distribution metrics.
Engineering a specialized domain-specific localized retrieval and generation pipeline using optimized open-source LLMs to automate high-coverage regulatory query processing and conversational information search.
Managing institution-wide digital instructional systems, infrastructure execution, and distance learning pedagogy standards.
Driving continuous evaluation, program evaluation logs, and structural curriculum alignment matching MÜDEK / ABET engineering standards.
Serving as an expert technical referee evaluating industrial research and development funding initiatives.
Providing direct faculty mentorship for undergraduate technical projects, hackathons, and community engineering seminars.
| CENG 105 |
Computer Engineering Orientation
Foundational system logic arrays, basic algorithmic execution principles, procedural design structures via C language platforms, and introductory software engineering processes.
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Undergraduate · Core |
| CENG 111 |
Computer Programming I
Fundamental logic control flow, programming language syntax parameters, standard function matrices, data typing arrays, and memory operations.
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Undergraduate · Core |
| CENG 114 |
Computer Programming II
Structured problem solving and top-down analysis and design of solution algorithms. Functions, pointers, 1D-2D arrays, character and string manipulations, structures, and text files.
|
Undergraduate · Core |
| CENG 361 |
Innovative Game Design
Covering innovative fundamentals of game design including players, gameplay loops, interactive pacing mechanisms, user experience modeling, and mathematical game balancing methodologies.
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Technical Elective |
| CENG 382 |
Web Development
Comprehensive structural web architectures engineering utilizing ASP.NET Core MVC, Entity Framework Core databases, clean routing rules, and full-stack API paradigms.
|
Undergraduate · Core |
| CENG 403 |
Social Issues in Engineering
Analyzing engineering ethics parameters, information privacy, professional accountability, intellectual property protocols, and technology impacts.
|
Undergraduate · Core |
| CENG 407 / 408 |
Innovative System Design & Development I & II
Two-semester capstone engineering project lifecycle. System layout design, implementation schedules, integration testing, and formal project presentation standards.
|
Senior Capstone |
| CENG 485 |
Introduction to Blockchain Technology
Decentralized ledger theory, consensus algorithm architectures, cryptography protocols, smart contract deployment, and web3 systems logic.
|
Undergraduate · Elective |
| IT 535 |
Database Management Systems
Graduate-level data architecture analytics. Advanced relational schemas, optimization profiles, query compilers, and multi-node NoSQL indexing strategies.
|
Graduate Level |