Olympic Champion Algorithm
Designed a new human-inspired metaheuristic and evaluated it through broad benchmarking and statistical comparison.
MATLABMetaheuristicsStatistics
Electrical Engineer · Optimization Researcher
Daniel Rajabi
Optimization, AI and control for real-world engineering systems.
I develop intelligent decision-making and optimization approaches for complex systems — with a strong foundation in Power Systems and Control, and interdisciplinary work spanning Artificial Intelligence and Digital Health.
MSc · 3.88/4Control Systems
4 coursesTeaching Assistant
3 papersICROM Reviewer
140Benchmark functions used in OCA evaluation
Research IdentityEngineering & real-world
problem optimization
problem optimization
Main application pillarsPower Systems · Digital Health
Research identity
Method-first. Application-flexible.
My core is intelligent optimization under constraints. AI, control and data-driven methods extend that toolkit across energy, engineering and healthcare applications.
Engineering &
Real-World
Problem Optimization
Real-World
Problem Optimization
Optimization: metaheuristics, multi-objective optimization, distributed optimization and optimal control.
AI & data: computational intelligence, ML/DL, forecasting, classification and intelligent decision-making.
Physical systems: practical constraints, uncertainty, reliability, performance and sustainability.
⚡
Power Systems
CEED/DCEED, electricity markets, OPF-related optimization, microgrids, renewable integration, scheduling and energy management.
⌁
Control Systems
Optimal control, distributed / consensus control, system identification and dynamic decision-making.
AI
Artificial Intelligence
Optimization-driven ML/DL, data analytics, hyperparameter optimization and uncertainty-aware modeling.
♥
Digital Health
Wearable vital-sign monitoring, biomedical signals, embedded prototyping, health prediction and medical optimization.
Research output
Selected publications & manuscripts
Work spanning new optimization algorithms, power-system decision problems and intelligent wearable health monitoring.
01
Olympic Champion Algorithm (OCA): A new human-inspired metaheuristic algorithm for solving optimization problems
Daniel Rajabi, Huriye Sadat Sadeghi, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar, Seyedali Mirjalili · SSRN DOI available in CV.
02
Data-Driven Multi-Objective Optimization for Dynamic Combined Economic Emission Dispatch: Benchmarking of Metaheuristic Algorithms
Daniel Rajabi, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar.
03
Design and prototyping of an AI-powered wearable device for continuous vital signs monitoring with intelligent alerting
Huriye Sadat Sadeghi, Mohsen Ahmadi, Daniel Rajabi · Scientific Reports.
04
Recent Advances in Wearable Technologies for Continuous Vital Sign Monitoring in Digital Health
Enabling technologies, artificial intelligence, clinical translation and future directions.
Selected projects
From algorithms to physical systems.
Projects that show how the same optimization mindset transfers across energy, AI and biomedical engineering.
Reality-Based CEED
Multi-objective economic–emission dispatch under practical nonlinear constraints, losses and dynamic demand.
Power SystemsOptimizationCEED
AI-Powered Wearable Monitor
Vital-sign monitoring prototype integrating sensing, embedded hardware, alerting, GPS/SMS and intelligent estimation.
ArduinoPPGEmbedded
P2P Energy Transactions
Multi-objective optimization and control for producer, consumer and prosumer transactions with Pareto analysis.
OCAOptimal ControlPareto
Clinical Outcome Prediction
Applied multiple ML models to pediatric length-of-stay and COVID-19 mortality prediction problems.
SVMCNNRFKNN
CNN Hyperparameter Optimization
Used metaheuristic optimizers including OCA, GWO and WOA to improve sensor-based activity recognition.
CNNGWOWOAOCA
Trajectory
Research, engineering & teaching
A path from power systems to control and optimization, then outward into AI, embedded systems and digital health.
2021–2024
MSc · Electrical Engineering — Control Systems
Amirkabir University of Technology · GPA 3.88/4 · thesis on CEED and the Olympic Champion Algorithm.
2022–2023
Teaching Assistant · 4 courses
Linear Control, Electrical Circuit, Optimal Control and Fuzzy Control.
2024
Peer Reviewer · ICROM
Reviewed three conference papers related to control, optimization, automotive safety, vision and robotics.
2025
Wearable Product Development
Contributed to a multi-vital-sign wearable prototype; CV records Arduino coding responsibility.
BMS
BMS Engineering
More than one year of engineering experience, adding an industrial layer to a research-heavy profile.
PP
Power Plant Internship
Three-month internship at Shahid Rajaei Power Plant.
EDU
Educational Work
Private tutor and educational consultant / math instructor, including Olympiad and entrance-exam preparation.
↗
Long-Term Goal
Build an academic career that combines research, teaching, strong students and real-world societal impact.
Technical stack
Code, models, experiments — and the systems around them.
My strongest work sits at the intersection of mathematical modeling, scientific programming, optimization, machine learning and engineering implementation.
MATLABPythonOptimizationMetaheuristicsOptimal ControlSimulinkC/C++ArduinoProteusNumPyPandasOpenCVTensorFlowPyTorchKerasSignal ProcessingData VisualizationStatistical AnalysisScientific WritingPLC · SIEMENS
Highlights
Academic & professional signals
A compact view of achievements that support research maturity, teaching ability and sustained technical effort.
★
Top academic standingLatest profile reports Top 3 among Control Engineering students.Σ
Scholarship recipientFull scholarships reported across MSc, BSc and earlier studies.TA
4 university coursesTeaching support across control and circuit subjects.🏸
University badminton championA competitive-sport achievement aligned with a strong performance mindset.
Visual research map
One identity, multiple application domains.
The infographic captures the organizing principle behind the portfolio: optimization sits at the center, AI and control extend the method set, and Power Systems plus Digital Health form the two clearest application pillars.
“Optimization is not just a method, it is a way of thinking to create a better future.”
Open to PhD & research collaboration
Let’s solve something difficult.
I am interested in doctoral and research opportunities involving optimization, control, intelligent systems, power and energy, AI-driven engineering and digital health — especially where practical constraints and real-world impact matter.