ERHAN YUMUK | Control Engineering | Best Researcher Award

Dr. ERHAN YUMUK | Control Engineering | Best Researcher Award

Postdoctoral researcher, Ghent University Belgium

Erhan Yumuk is an Assistant Professor at Istanbul Technical University, specializing in Control Engineering. With over 10 years of experience, he focuses on control theory and its applications, having supervised numerous undergraduate and postgraduate students. His extensive research output is complemented by a history of prestigious academic roles, including as a Postdoctoral Researcher at Ghent University. He aims to expand the scientific understanding of various control strategies.

Publication Profile

Google Scholar

🎓 Education

Ph.D. in Control and Automation Engineering, Istanbul Technical University (2015-2022), GPA: 4.00/4.00. M.Sc. in Control and Automation Engineering, Istanbul Technical University (2012-2015), GPA: 3.93/4.00. B.Sc. in Control and Automation Engineering (2009-2013), Istanbul Technical University, GPA: 3.88/4.00. B.Sc. in Electronic Engineering (2007-2012), Istanbul Technical University, GPA: 3.91/4.00

🧑‍🏫 Experience

Assistant Professor, Istanbul Technical University (May 2023-Present). Co-head of Department, Istanbul Technical University (May 2023-Present). Postdoctoral Researcher, Ghent University (Jan 2023-Present). Lecturer, Istanbul Technical University (Jan 2022-May 2023). Research and Teaching Assistant, Istanbul Technical University (Feb 2013-Jan 2022). Candidate Engineer, MKR-IC, Istanbul (Jun 2012-Sep 2012). Intern, NETAS, ASELSAN, ARCELIK.

🏆 Awards & Honors

COST Action CA 15225 Training School Grant (2019). COST Action CA 15225 Study Group Event Grant (2018). Best Paper Award, IEEE (2015). Success Scholarship, Scientific and Technological Research Council of Turkey (2012-2014)

🔬 Research Focus

Erhan Yumuk’s research revolves around control theory, fractional-order systems, PID controller design, and their applications in diverse fields such as industrial systems, automation, and healthcare. His work also emphasizes the design and analysis of robust controllers for time-delay systems and system stability. His recent studies have contributed to advanced modeling and control strategies in the field of system control and automation.

🎯Conclusion 

In conclusion, Erhan Yumuk is an outstanding candidate for the Best Researcher Award, owing to his remarkable research output, academic achievements, and contributions to the control engineering community. His ability to push the boundaries of control theory while maintaining a strong academic presence is commendable. With a bit more emphasis on interdisciplinary and industry collaborations, Erhan can further solidify his position as a global leader in the field of control engineering.

Publication Top Notes

  • Title: Active set method based model predictive control for a ball and beam system
    Year: 2017
    Authors: H Nak, Ş Akkaya, E Yumuk
    Citations: 5

 

  • Title: Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data
    Year: 2024
    Authors: GB Othman, AR Ynineb, E Yumuk, H Farbakhsh, C Muresan, IR Birs, …
    Citations: 3

 

  • Title: Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia
    Year: 2024
    Authors: E Yumuk, D Copot, CM Ionescu, M Neckebroek
    Citations: 3

 

  • Title: Online tuning of derivative order term of variable‐order fractional–integral–derivative controllers for the first‐order time delay systems
    Year: 2023
    Authors: M Can Kurucu, E Yumuk, M Güzelkaya, I Eksin
    Citations: 3

 

  • Title: Reduced inverse integer-order controller design for a class of fractional-order model: Case study on two-tank liquid-level process
    Year: 2023
    Authors: E Yumuk, M Güzelkaya, I Eksin
    Citations: 3

 

  • Title: Analytical and optimal fractional order controller design methodologies implemented on magnetic levitation system
    Year: 2019
    Authors: SB Köse, E Yumuk, M Güzelkaya, İ Eksin
    Citations: 3

 

  • Title: Selecting Optimal Long Short-Term Memory (LSTM) Architectures for Online Estimation of Mean Arterial Pressure (MAP) in Patients Undergoing General Anesthesia
    Year: 2024
    Authors: G Ben Othman, D Copot, E Yumuk, M Neckebroek, CM Ionescu
    Citations: 2

 

  • Title: Enhancing pain level assessment in post-surgery patients using artificial intelligence algorithms
    Year: 2024
    Authors: GB Othman, E Yumuk, D Copot, AR Ynineb, H Farbakhsh, IR Birs, …
    Citations: 2

 

  • Title: Model Extraction From Clinical Data Subject to Large Uncertainties and Poor Identifiability
    Year: 2024
    Authors: CM Ionescu, R De Keyser, D Copot, E Yumuk, A Ynineb, GB Othman, …
    Citations: 2

 

  • Title: Model predictive control of hemodynamics during intravenous general anesthesia
    Year: 2023
    Authors: H Farbakhsh, E Yumuk, GB Othman, R De Keyser, D Copot, I Birs, …
    Citations: 2

 

  • Title: A robust auto-tuning PID controller design based on S-shaped time domain response
    Year: 2022
    Authors: E Yumuk, C Copot, CM Ionescu
    Citations: 2

 

  • Title: An analytical criterion for stability testing of delayed Bode’s transfer function with unity feedback
    Year: 2024
    Authors: E Yumuk
    Citations: 1

 

  • Title: A Decoupled Fractional Order Control Strategy to increase patient safety during Anesthesia-Hemodynamic Interactions
    Year: 2024
    Authors: E Hegedus, MD Mihai, IR Birs, H Farbakhsh, E Yumuk, D Copot, …
    Citations: 1

 

Li Xia | Plant biotechnology |Best Researcher Award

Prof. ‌Li Xia |Plant biotechnology | Best Researcher Award

Prof at Qingdao University of Science and Technology China

Li Xia is a distinguished professor at the College of Chemical Engineering, Qingdao University of Science and Technology. With a PhD in Chemical Engineering, his research expertise spans process system engineering, chemical thermodynamics, dynamic simulation, process optimization, and energy-saving technologies. He has contributed extensively to the fields of chemical process simulation and intelligent chemical industry through numerous high-impact publications and patents. Li Xia has led and collaborated on several national research projects, focusing on innovative energy-saving strategies and the development of new chemical processes. His work has significantly advanced the application of thermodynamic models and optimization techniques in industrial processes.

Profile

 

📚Education

PhD in Chemical Engineering Qingdao University of Science and Technology, China [2010-2016]

 🏢 Professional Appointments

  • Professor College of Chemical Engineering, Qingdao University of Science and Technology [2006-present]

Research Projects 📝

Project Title: Research on energy saving strategies and methods for chemical processes based on fire accumulation Duration: January 2015 – December 2017 Funding Source: National Natural Science Foundation of China Grant Number: 21406124 Role: Project Leader Outcome: Concluded Project Title: Intelligent method and application research of low-temperature waste heat extraction and utilization Duration: January 2022 – December 2025 Funding Source: National Natural Science Foundation of China Grant Number: 22178190 Role: Second completer Status: Amidst Research Project Title: A new method and its application research for vapor-liquid equilibrium prediction based on elements and chemical bonds Duration: January 2012 – December 2015 Funding Source: National Natural Science Foundation of China Grant Number: 21176127 Role: Third completer Outcome: Concluded

Publications Top Notes 📝

  1. Benzoic Acid Catalyzed Production of Xylose and Xylooligosaccharides from Poplar
    • Authors: Li, L., Wan, Q., Lu, Y., Xu, J., Gou, J.
    • Journal: Industrial Crops and Products
    • Year: 2024
    • Volume: 213
    • Pages: 118460
    • Abstract: This study explores the catalytic production of xylose and xylooligosaccharides from poplar using benzoic acid, focusing on optimizing yield and process efficiency.

 

  1. A Matrix Completion Method for Imputing Missing Values of Process Data
    • Authors: Zhang, X., Sun, X., Xia, L., Tao, S., Xiang, S.
    • Journal: Processes
    • Year: 2024
    • Volume: 12
    • Issue: 4
    • Pages: 659
    • Abstract: This open-access article presents a matrix completion method aimed at imputing missing values in process data, potentially improving data integrity and analysis in various industrial applications.

 

  1. Design Method of Extractant for Liquid–Liquid Extraction Based on Elements and Chemical Bonds
    • Authors: Wei, Y., Zhang, C., Zhang, Y., Sun, X., Xiang, S.
    • Journal: Chinese Journal of Chemical Engineering
    • Year: 2024
    • Volume: 68
    • Pages: 193–202
    • Abstract: The study proposes a novel design method for extractants used in liquid-liquid extraction, focusing on the role of elements and chemical bonds to enhance extraction efficiency.

 

  1. A Projected Newton Algorithm Based on Chemically Allowed Interval for Chemical Equilibrium Computations
    • Authors: Lu, H., Tao, S., Sun, X., Xia, L., Xiang, S.
    • Journal: Frontiers of Chemical Science and Engineering
    • Year: 2024
    • Volume: 18
    • Issue: 3
    • Pages: 27
    • Abstract: This article introduces a projected Newton algorithm designed to improve chemical equilibrium computations by using chemically allowed intervals, aiming to enhance accuracy and computational efficiency.

 

  1. Enhancing Working Fluid Selection for Novel Cogeneration Systems by Integrating Predictive Modeling: From Molecular Simulation to Process Evaluation
    • Authors: Wang, L., Zong, F., Liu, Z., Sun, X., Xiang, S.
    • Journal: Process Safety and Environmental Protection
    • Year: 2024
    • Volume: 183
    • Pages: 587–601
    • Abstract: This research focuses on the selection of working fluids for cogeneration systems, integrating predictive modeling from molecular simulation to process evaluation to optimize performance and safety.

 

  1. Development of Special Process Simulation System for Sulfuric Acid Alkylation Process
    • Authors: Zhao, T., Xia, L., Sun, X., Chen, Y., Xiang, S.
    • Journal: Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities
    • Year: 2024
    • Volume: 38
    • Issue: 1
    • Pages: 121–127
    • Abstract: This study details the development of a specialized process simulation system for the sulfuric acid alkylation process, aiming to improve efficiency and reliability in industrial applications.