Onder Tutsoy (0000-0001-6385-3025)

Personal information

Biography

Education
Doctor of Philosophy, (Ph.D), The University of Manchester, The School of Electrical and Electronic Engineering, Manchester, England, 2009-2013.

• Thesis Title: On the Reinforcement Learning Analysis and Learning the Control of Humanoid Robot Leg
• Supervised by: Dr. Martin Brown and Prof. Hong Wang

Master of Science, (MSc), The University of Manchester, Advanced Systems and Control Engineering, Manchester, England, 2008-2009

• Dissertation Title: Robust Experimental Design for Biochemical Pathway Systems
• Supervised by: Dr. Martin Brown

Academic Preparation, (Pre-MSc), The University of Nottingham, Nottingham, England 2007-2008

• Dissertation Title: Nuclear Power Plants; An Overview
• Supervised by: A number of lecturers from the academic preparation department

Bachelor of Science, The University of Firat, Technical Teaching Faculty, Elazig, Turkey 2001-2005

• Top student of the Faculty in 2005

Research Interests / Research Profile
• Control
• Artificial Intelligence
• Robotics
• Autonomous Systems: Modelling, Analysis and Control
• Object Recognition
• Signal Processing

Research Softwares
• MapleSim
• Robotran
• Matlab
• Modelica
• Maple

Activities

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Adama Science and Technology University: Adana, TR

2014-02-24 to present | Lecturer (Electrical and Electronic Engineering)

Employment

Onder Tutsoy

https://orcid.org/0000-0001-6385-3025

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Biography

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Employment (1)

Adama Science and Technology University: Adana, TR

Education and qualifications (2)

University of Manchester: Manchester, Manchester, GB

Manchester University: North Manchester, IN, GB

Works (27)

On the Remarkable Advancement of Assistive Robotics in Human-Robot Interaction-Based Health-Care Applications: An Exploratory Overview of the Literature

Minimum Distance and Minimum Time Optimal Path Planning With Bioinspired Machine Learning Algorithms for Faulty Unmanned Air Vehicles

A novel deep machine learning algorithm with dimensionality and size reduction approaches for feature elimination: thyroid cancer diagnoses with randomly missing data

Graph Theory Based Large-Scale Machine Learning With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases

Robust Reduced Order Thau Observer With the Adaptive Fault Estimator for the Unmanned Air Vehicles

A Machine Learning-Based 10 Years Ahead Prediction of Departing Foreign Visitors by Reasons: A Case on Turkiye

Doctor Robots: Design and Implementation of a Heart Rate Estimation Algorithm

Linear and non-linear dynamics of the epidemics: System identification based parametric prediction models for the pandemic outbreaks

Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases

Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model

A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches

COVID-19 Epidemic and Opening of the Schools: Artificial Intelligence-Based Long-Term Adaptive Policy Making to Control the Pandemic Diseases

Model free adaptive control of the under-actuated robot manipulator with the chaotic dynamics

Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties

Priority and Age Specific Vaccination Algorithm for the Pandemic Diseases: A Comprehensive Parametric Prediction Model

A Novel Parametric Model for the Prediction and Analysis of the COVID-19 Casualties

Development of a Multi-Dimensional Parametric Model With Non-Pharmacological Policies for Predicting the COVID-19 Pandemic Casualties

Design and Implementation of a Facial Character Analysis Algorithm for Humanoid Robots

Design of a completely model free adaptive control in the presence of parametric, non-parametric uncertainties and random control signal delay

Learning to balance an NAO robot using reinforcement learning with symbolic inverse kinematic

An analysis of value function learning with piecewise linear control

Chaotic dynamics and convergence analysis of temporal difference algorithms with bang-bang control

Design and Comparison Base Analysis of Adaptive Estimator for Completely Unknown Linear Systems in the Presence of OE Noise and Constant Input Time Delay

Reinforcement learning analysis for a minimum time balance problem

Adaptive estimator design for unstable output error systems: A test problem and traditional system identification based analysis

CPG BASED RL ALGORITHM LEARNS TO CONTROL OF A HUMANOID ROBOT LEG

An Exemplar Test Problem on Parameter Convergence Analysis of Temporal Difference Algorithms

Peer review (112 reviews for 19 publications/grants)