Keyvan

AI Researcher & Algorithm Designer

Designer of metaheuristic algorithms, AI engineer, and specialist in developing deep learning models for medical and engineering problems.

PythonPyTorchTensorFlowLSTMYOLOOpenCVMATLABEfficientNetMetaheuristicComputer Vision PythonPyTorchTensorFlowLSTMYOLOOpenCVMATLABEfficientNetMetaheuristicComputer Vision

Developed Algorithms

Posters and infographics of designed algorithms

Resultant Vector Strategy (RVS)

Resultant Vector Strategy (RVS)

Enhancing metaheuristic performance.

Rainbow Optimizer (RO)

Rainbow Optimizer (RO)

Inspired by light refraction.

Improved MGO Models

Improved MGO Models

Enhancing MGO using chaos.

Medical AI Projects

Deep learning models for disease detection

Gastrointestinal Classification

Gastrointestinal Classification

DenseNet121 for GI diseases.

Diabetic Retinopathy Detection

Diabetic Retinopathy Detection

DR Detection using EfficientNet.

Research Domains

Specialized areas of interest

Metaheuristic Optimization

Artificial Intelligence

Deep Learning

Medical AI

Computer Vision

Time Series Prediction

Publications List

Complete list of published and under-review papers

Resultant vector strategy: A new strategy for improved performance of metaheuristic algorithm

Keyvan Fattahi Rishakan, Farhad Soleimanian Gharehchopogh Knowledge-Based Systems (Elsevier), Pages: 115833 2026 Cited by: 1
Q1 Journal

Several improved models of the mountain gazelle optimizer for solving optimization problems

Farhad Soleimanian Gharehchopogh, Keyvan Fattahi Rishakan CMES-Computer Modeling in Engineering & Sciences 2026 Cited by: 2
Q2 Journal

Deep Learning-based Diabetic Retinopathy Detection and Grading

K. Fattahi Rishakan et al. Under Review 2026
Medical AI

Research Journey

Research path and achievements

2022
Started Metaheuristic Research
2026
Published High-Impact Papers

Academic Profiles

Scientific and professional networks