Kaya Kuru Editor at IgMin Research
We promote collaboration across various sciences to enrich the understanding and application of knowledge.
Biography
Kaya Kuru received the B.Sc. degree from the National Defense University (Turkish Military Academy), the ADP/Major degree in computer engineering from Middle East Technical University (METU), the M.B.A. degree from Selçuk University, and the M.Sc. and Ph.D. degrees in computer science/medical Informatics from METU. He completed his postdoctoral studies with the School of Electronics and Computer Science, University of Southampton, U.K. He is a Software Engineer and currently an Associate Professor of computer-information systems engineering. He has recently engaged in the implementation of numerous AI-based real-world systems within various funded projects. His research interests include the development of geo-distributed autonomous intelligent systems using FL, ML, DL, and DRL with CPSs.
Research Interest
Autonomous Systems, Artificial Intelligence/Machine Learning, Big Data Analytics/Federated Learning, Reinforcement Learning, Autonomous Vehicles, Data Mining and Knowledge Acquisition, Genomics & Medical Genetics, Electromechanical Systems, Multispectral Image Analysis, Software Engineering
Editor
Work Details
Associate Professor
University of Central Lancashire
School of Computing and Engineering
United Kingdom
Contribution by Topic Area
PUBLISH YOUR RESEARCH
We publish a wide range of article types in biology, medicine and engineering with no editorial biases.
SubmitSee Manuscript Guidelines and APC
Explore the IgMin Subjects
Which articles are now trending?
Research Articles
- Challenge and Readiness to Implemented Geothermal Energy in Indonesia
- Efficacy of Different Concentrations of Insect Growth Regulators (IGRs) on Maize Stem Borer Infestation
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Federated Learning- Hope and Scope
- Investigation of Lateral Vibrations in Turbine-generator Unit 5 of the Inga 2 Hydroelectric Power Plant
