Publications

• Alimoglu, A., Özturan, C. (2026). Blockchain Based Autonomous Organization for Sustainable Software and Execution History. Blockchain: Research and Applications (ESCI Q1), May 2026.
  We propose a blockchain-based autonomous organization framework for sustainable software development and execution history tracking.
• Alimoglu, A., Erdayandi, K., Mustafa, M. A., Cali, Ü. (2025). EDGChain-E: A Decentralized Git-Based Framework for Versioning Encrypted Energy Data. IEEE (2025).
  A framework for versioning encrypted energy data using decentralized Git and blockchain.
• Alimoglu, A., Özturan, C. (2024). An Autonomous Blockchain-Based Workflow Execution Broker for e-Science. Cluster Computing, Springer (SCI-E Q1).
  A blockchain-based system for autonomous workflow execution in e-Science, using smart contracts to coordinate distributed processes.
• Alimoglu, A., Özturan, C. (2024). An Autonomous Blockchain-Based Computational Broker for e-Science. Concurrency and Computation: Practice and Experience, Wiley (SCI-E Q1).
  An autonomous broker that uses blockchain to manage computational resources for e-Science applications.
• Alimoglu, A., Özturan, C. (2017). Design of a Smart Contract Based Autonomous Organization for Sustainable Software. IEEE 13th International Conference on e-Science.
  Early work on smart contract-based autonomous organizations for sustainable software development and maintenance.
• Shahriar Asta, Tuna Sonmez, Onuralp Ulusoy, Alper Alimoglu, Mustafa Ersen, Ozdemir Sozmen, Sanem Sariel-Talay (2011). BeeStanbul Team Description Paper. RoboCup Symposium Workshop, Istanbul.
  Team description paper for the BeeStanbul RoboCup team, written during early work in robotics and AI.

Thesis

• Ph.D. Thesis: EBlocBroker: Blockchain-based Computational Broker for e-Science (2024, Boğaziçi University).
  Advisor: Prof. Can Özturan
  Abstract: Developed an autonomous blockchain-based computational broker for e-Science applications. It uses smart contracts to ensure trust and transparency in distributed computational processes.
  PhD Defense Slides
• M.Sc. Thesis: Short-Term Workload Prediction with Reservoir Computing (2014, Binghamton University).
  Advisor: Prof. Kanad Ghose
  Abstract: Developed Echo State Network models for time series prediction and workload forecasting in data centers, using reservoir computing methods for distributed systems.
  Master's Defense Slides

Research

I work on autonomous blockchain-based computational brokers for e-Science. These use smart contracts to coordinate distributed computational workflows.

• • Blockchain Technology — Smart contracts, distributed systems, computational brokers
• • e-Science Applications — Workflow management, resource allocation, trust mechanisms
• • Distributed Computing — Autonomous systems, load balancing, performance optimization