Hakan Yaykaşlı | Engineering | Best Researcher Award

Assist. Prof. Dr. Hakan Yaykaşlı | Engineering | Best Researcher Award

Assist. Prof. Dr. Hakan Yaykaşlı | Kahramanmaraş İstiklal University | Turkey

Assist. Prof. Dr. Hakan Yaykaşlı is an accomplished academic specializing in materials science, mechanical engineering, and physics, with a distinguished background in advanced alloys, nanofillers, and composite materials. He holds dual doctoral degrees, one in Mechanical Engineering from Gaziantep University with a focus on nanofillers in hybrid fiber composites, and another in Materials Science and Engineering from Kahramanmaraş Sütçü Imam University, where he studied the structural and mechanical properties of advanced light alloys. He also earned a master’s degree in Physics, exploring the electrical and optical properties of boron-doped thin films, and several bachelor’s degrees in physics, mechanical engineering, and occupational health and safety, along with associate degrees in machinery and emergency disaster management. His academic career includes roles as Specialist, Lecturer, and currently Assistant Professor at Kahramanmaraş İstiklal University. Dr. Yaykaşlı has supervised numerous theses on advanced alloys, nanostructured coatings, and innovative materials, while contributing significantly to teaching, mentorship, and applied research in his field.

Publication Profile

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Academic and Professional Journey

Assist. Prof. Dr. Hakan Yaykaşlı is a distinguished scholar with a strong academic background in physics, mechanical engineering, and materials science, reflected through his extensive education and research contributions. He earned a PhD in Mechanical Engineering from Gaziantep University with a thesis on the influence of nanofillers on the fracture and interlaminar shear properties of basalt carbon hybrid fiber reinforced composites, and another PhD in Materials Science and Engineering from Kahramanmaraş Sütçü Imam University, focusing on the structural, thermal, and mechanical properties of advanced AlMgTiB light alloys. His academic journey began with a master’s degree in Physics, where he investigated the electrical and optical properties of boron-doped thin films. He also completed bachelor’s studies in physics, mechanical engineering, and occupational health and safety, along with associate degrees in machinery and emergency disaster management, reflecting his interdisciplinary expertise. Through his academic endeavors, Dr. Yaykaşlı has cultivated a deep understanding of advanced materials, mechanical systems, and applied research, making significant contributions to engineering and science.

Awards and Recognition

Assist. Prof. Dr. Hakan Yaykaşlı has been recognized for his academic contributions and research achievements through prestigious honors that highlight his dedication to advancing science and engineering. Among his notable recognitions is the Publication Incentive Award granted by TÜBİTAK, a highly regarded acknowledgment in Turkey that supports and encourages impactful scientific publications. This award reflects his commitment to producing high-quality research and contributing to the dissemination of knowledge in the fields of mechanical engineering, materials science, and physics. Such recognition not only underlines the academic value of his published works but also demonstrates his ability to align his research with national and international standards of excellence. The award serves as an important milestone in his career, motivating him to further expand his scientific output and continue guiding new research in advanced materials, nanotechnology, and composite structures while inspiring students and colleagues in his field.

Research Focus

Assist. Prof. Dr. Hakan Yaykaşlı’s research focus lies at the intersection of materials science, nanotechnology, and mechanical engineering, with a strong emphasis on the development and characterization of advanced functional materials. His studies explore the mechanical, structural, thermal, optical, and radiation shielding properties of alloys, composites, glasses, and nanomaterials, particularly high entropy alloys, borate and barium-based glasses, and polymer nanocomposites. He has contributed significantly to the field of nanostructured coatings, thin films, and hybrid fiber composites by investigating the role of nanofillers, dopants, and processing techniques on enhancing mechanical strength, fracture resistance, and multifunctional properties. A key area of his expertise is radiation shielding, where he develops innovative glass and alloy systems designed to provide effective protection while maintaining structural integrity. His interdisciplinary approach integrates experimental methods with advanced characterization techniques, contributing to applications in nuclear energy, electronics, aerospace, additive manufacturing, and sustainable engineering materials.

Publication Top Notes

Mechanical and dynamic properties of basalt fiber-reinforced composites with nanoclay particles
Year: 2020 | Citations: 76

Microstructural, thermal, and radiation shielding properties of Al50B25Mg25 alloy prepared by mechanical alloying
Year: 2022 | Citations: 54

Investigation of structural, morphological, mechanical, thermal and optical properties of PVA-ZnO nanocomposites
Year: 2021 | Citations: 35

Investigation of the properties of In doped NiO films
Year: 2014 | Citations: 34

Investigating the PVA/TiO2/CDs polymer nanocomposites: effect of carbon dots for photocatalytic degradation of Rhodamine B
Year: 2022 | Citations: 30

Conclusion

Assist. Prof. Dr. Hakan Yaykaşlı is a strong candidate for the Research for Best Researcher Award. His academic diversity, dual doctoral achievements, and contributions to materials science and mechanical engineering underline his significant role in advancing research. With increased international visibility and expanded research collaborations, he has the potential not only to compete strongly but also to emerge as a leading figure in his discipline, making him a suitable nominee for this recognition.

Mohammad Divandari | Electronic Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Divandari | Electronic Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Divandari, Islamic Azad University, Iran

Assist. Prof. Dr. Mohammad Divandari is an Assistant Professor of Electrical Engineering/Control Systems at Islamic Azad University, Iran. He holds a Ph.D. in Electrical Engineering from Babol Noshirvani University (2019) with a thesis on switched reluctance motor drives. His research interests include electrical motor theory, control systems, and non-linear control. Dr. Divandari has extensive industry experience, having worked in JEMCO Company in various technical roles from 1998 to 2007. He is skilled in simulation, embedded systems, and electrical drive implementation. He is a member of IEEE and the Iranian Inventors Association. 🧑‍🏫🔧💡📚

 

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Educational Background

Assist. Prof. Dr. Mohammad Divandari earned his Ph.D. in Electrical Engineering from Babol Noshirvani University of Technology in 2019, focusing on the design and implementation of a switched reluctance motor drive with DSP-TMS320F28335, earning a high score of 19.75/20. He completed his M.Sc. in Control Systems at Islamic Azad University, Tehran, in 2003, where his thesis on fuzzy logic control of switched reluctance motors earned him a score of 19/20. Dr. Divandari also holds a B.Sc. in Electronic Engineering from Islamic Azad University, Sabzevar (1998), with a thesis on DC/AC converter design, scoring 18.5/20. 💡🔧📚

 

Professional Experience

Dr. Mohammad Divandari worked as an Electrical Engineer at JEMCO Company (Jovain Electrical Machines Industries Co.) from 1998 to 2007. His roles included installing and operating machinery (1998-1999), working in machinery adjustment committees with foreign experts (1999-2000), and serving as an expert in the technical documents center (2000-2001). He also contributed to the Research and Development (R&D) department (2001-2003) and later worked in sales engineering within the commercial units (2003-2007). His extensive experience helped shape his expertise in electrical systems and engineering solutions. ⚙️🔧🌍

 

Academic Experience

Dr. Mohammad Divandari has had extensive teaching experience in Electrical Engineering and Control Systems. From 2004 to 2019, he was a Lecturer at Islamic Azad University, Iran, where he taught a wide range of subjects, including Electronics, Electrical Machines, Control Systems, Power Electronics, and Pattern Recognition. He also conducted labs on Linear Control Systems, Non-linear Control, and Instrumentation. Since 2019, he has served as an Assistant Professor, continuing his impactful work in teaching and mentoring future engineers. His contributions significantly shape the next generation of electrical engineers. 📚⚡️

 

Software Expertise

Assist. Prof. Dr. Mohammad Divandari has extensive expertise in software tools for simulation and embedded systems. He is proficient in MATLAB/SIMULINK, PLECS, and ANSYS/Maxwell for FEM simulations. His experience extends to embedded systems, specifically with DSP TMS320F28335 using Code Composer Studio for C programming. Additionally, he has hands-on experience with Cadence SPB/OrCAD for Pspice and circuit analysis and Altium Designer for PCB design (two-layer, metalized). His skills in these advanced tools support his research and development in electrical engineering. 🖥️🔧📐

 

Honors and Award

In recognition of his innovative contributions, Assist. Prof. Dr. Mohammad Divandari received a patent in 2001–2002 for an automatic device designed to measure the pressure of automobile tires. This device is adjustable to optimize energy consumption in automobiles. The patent, registered under No. 013233 in Iran on March 13, 2006, showcases his commitment to advancing technology in the automotive and energy sectors. This achievement highlights his inventive approach to solving practical engineering challenges. 🚗🔧⚡

 

Research Focus

Assist. Prof. Dr. Mohammad Divandari’s research focuses on advanced control systems and optimization techniques for switched reluctance motor (SRM) drives, with a strong emphasis on fuzzy logic control to reduce torque ripple and acoustic noise. His work extends to sensorless motor drives, dynamic observers, and electromagnetic levitation systems. Additionally, Dr. Divandari explores brushless DC motors, power electronic systems, and micro-turbine control. His contributions have had significant impacts on energy efficiency, control systems, and motor design. 🌍🔌📉 His work is essential in the electrical engineering and control systems domains.

 

Publication Top Notes

  • Radial force and torque ripple optimization for acoustic noise reduction of SRM drives via fuzzy logic control (Cited by: 52, Year: 2010) ⚙️📉
  • Speed control of switched reluctance motor via fuzzy fast terminal sliding-mode control (Cited by: 44, Year: 2019) ⚡📊
  • A novel dynamic observer and torque ripple minimization via fuzzy logic for SRM drives (Cited by: 32, Year: 2009) 🔄🔧
  • Tooth profile modification and its effect on spur gear pair vibration in presence of localized tooth defect (Cited by: 27, Year: 2012) ⚙️🔍
  • A novel sensorless SRM drive via hybrid observer of current sliding mode and flux linkage (Cited by: 23, Year: 2007) 🚗🔩
  • Torque estimation of sensorless SRM drive using adaptive-fuzzy logic control (Cited by: 18, Year: 2016) 🧠⚙️
  • High performance SRM drive with hybrid observer and fuzzy logic torque ripple minimization (Cited by: 15, Year: 2007) 🔋🔧
  • Conversion of shaded-pole induction motor to switched reluctance motor and effects of pole shoe and notch on SRM noise (Cited by: 13, Year: 2013) 🔊🔩
  • Single phase application of space vector pulse width modulation for shunt active power filters (Cited by: 13, Year: 2007) ⚡🔌
  • Robust speed control of switched reluctance motor drive based on full order terminal sliding mode control (Cited by: 11, Year: 2020) ⚙️🛠
  • A novel control-rod drive mechanism via electromagnetic levitation in MNSR (Cited by: 10, Year: 2014) ⚡🔮
  • Sensorless drive for switched reluctance motor by adaptive hybrid sliding mode observer without chattering (Cited by: 9, Year: 2018) ⚙️🔧
  • Acoustic noise reduction of switched reluctance motor drives (Cited by: 7, Year: 2011) 🔇🔧
  • Improved analytical nonlinear model for switched reluctance motor using Gaussian distribution probability density function (Cited by: 6, Year: 2018) 🧠🔩
  • Minimizing torque ripple in a brushless DC motor with fuzzy logic: applied to control rod driving mechanism of MNSR (Cited by: 5, Year: 2015) ⚡🔧