Oguzhan Yilmaz | Engineering | Best Researcher Award

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Oguzhan Yilmaz | Engineering | Best Researcher Award

Prof. Dr Oguzhan Yilmaz, Gazi University, Turkey

Professor Oğuzhan Yılmaz is a distinguished mechanical engineering expert specializing in machine elements, computer-aided design and manufacturing, and non-traditional manufacturing methods. He is a professor at Gazi University, Turkey, contributing extensively to research and education in advanced manufacturing. He completed his doctorate at the University of Nottingham, UK, further enhancing his expertise in manufacturing engineering and operations management. With a career spanning over two decades, he has held editorial roles in prestigious scientific journals and actively participates in peer reviewing for high-impact publications. His research focuses on innovative and sustainable manufacturing techniques, integrating modern computational tools into engineering solutions. Prof. Yılmaz has received multiple awards for his contributions to research, peer reviewing, and academic leadership. He continues to influence the global engineering community through his editorial work, research collaborations, and mentorship of future engineers. His dedication to advancing mechanical engineering makes him a key figure in the field.

Publication Profile

google scholar

Education

Professor Oğuzhan Yılmaz holds a Doctorate (2002-2006) from the University of Nottingham, UK, where he specialized in Manufacturing Engineering and Operations Management, focusing on advanced production techniques. He completed his Postgraduate studies (1997-1999) at Gaziantep University, Turkey, in the Faculty of Engineering, Department of Mechanical Engineering (English), where he specialized in mechanical system design and material processing. His academic journey began with a Bachelor’s degree (1992-1997) from the same institution, where he built a strong foundation in mechanical systems, machine elements, and computational engineering. With a career spanning international institutions and advanced research in manufacturing and mechanical design, he has demonstrated a strong commitment to innovation, sustainability, and technological advancements in mechanical engineering. His diverse educational background has equipped him with the expertise to contribute significantly to the field of advanced manufacturing and engineering solutions.

Experience

Professor Oğuzhan Yılmaz is a distinguished faculty member at Gazi University, Turkey, where he leads research and teaches courses in mechanical design, manufacturing, and computational engineering. His expertise extends beyond academia, as he plays a significant role in the scientific publishing community, holding editorial positions in SCI-indexed journals, including the Journal of Materials Processing Technology and the International Journal of Advanced Manufacturing Technology. Since 2021, he has been a committee member for the Journal of Additive Manufacturing Technology, contributing to advancements in additive and digital manufacturing. He has also served as Assistant Editor/Section Editor (2017-Present) for Makina Tasarım ve İmalat Dergisi and as First Editor (2015-Present) for the Journal of the Faculty of Engineering and Architecture of Gazi University. Additionally, he collaborates with international institutions to drive innovation in manufacturing technologies and automation, further cementing his influence in the modern engineering landscape.

Awards & Honors

Professor Oğuzhan Yılmaz has received numerous accolades for his outstanding contributions to engineering research, particularly in mechanical design and advanced manufacturing. He has been honored with the Outstanding Contribution to Engineering Research Award for his pioneering studies that have significantly influenced the field. His dedication to academic publishing and peer review has earned him the Top Reviewer Award, recognizing his excellence in evaluating manuscripts for leading SCI-indexed journals. Additionally, he has received the Editorial Excellence Award for his significant contributions to journal editing and manuscript evaluation. His innovative research has been acknowledged with the Best Research Paper Award, highlighting his groundbreaking work in manufacturing technologies. As a dedicated educator, he has also been recognized with the Distinguished Faculty Award, celebrating his exceptional teaching, mentorship, and academic leadership. His achievements underscore his commitment to research innovation, scholarly contributions, and academic excellence in mechanical engineering.

Research Focus

Professor Oğuzhan Yılmaz’s research spans several critical areas in mechanical and manufacturing engineering, with a strong emphasis on innovation and sustainability. His expertise in Machine Elements involves the advanced design and analysis of mechanical components for industrial applications, optimizing performance and durability. He is also deeply involved in Computer-Aided Design and Manufacturing (CAD/CAM), where he integrates software tools to enhance precision engineering and automation. His work in Non-Traditional Manufacturing Methods explores innovative fabrication techniques beyond conventional machining, pushing the boundaries of modern engineering. Additionally, his research in Advanced Manufacturing Technologies focuses on high-precision, cost-effective production methodologies that drive industrial efficiency. With a commitment to Sustainable Engineering Solutions, he develops environmentally friendly and energy-efficient manufacturing processes. His research aims to redefine modern manufacturing by seamlessly integrating automation, sustainability, and precision engineering to meet the evolving demands of the industry.

Publication Top Notes

📜Wire Arc Additive Manufacturing (Metal Inert Gas-Cold Metal Transfer) of ER70S-6: Experimental and Computational Analysis on Process, Microstructure, and Mechanical Property Relationships
🔥 Thermal Behavior in Wire Arc Additive Manufacturing: A Comparative Study of the Conventional Process and Infrared Heater Use
🔬 Surface Characteristics of Additively Manufactured γ-TiAl Intermetallic Alloys Post-Processed by Electrochemical Machining
⚙️ Directed Energy Deposition of PH 13–8Mo Stainless Steel: Microstructure and Mechanical Property Analysis
💡 Enhancement of Surface Characteristics of Additively Manufactured γ-TiAl and IN939 Alloys after Laser Shock Processing
🛠️ Influence of Laser Polishing Process Parameters on Surface Integrity and Morphology of Ti-6Al-4V Parts Produced via Electron Beam Melting
🔍 Electrochemical Machining of Additively Manufactured γ-TiAl Parts: Post-Processing Technique to Reduce Surface Roughness
📏 A Deposition Strategy for Wire Arc Additive Manufacturing Based on Temperature Variance Analysis to Minimize Overflow and Distortion
🔥 The Effect of Evaporation and Recoil Pressure on Energy Loss and Melt Pool Profile in Selective Electron Beam Melting
🧪 Computational Evaluation of Temperature-Dependent Microstructural Transformations of Ti-6Al-4V for Laser Powder Bed Fusion Process
🔬 Micromechanical Characterization of Additively Manufactured Ti-6Al-4V Parts Produced by Electron Beam Melting
🌡️ Volumetric Heat Source Model for Laser-Based Powder Bed Fusion Process in Additive Manufacturing
📐 Radially Graded Porous Structure Design for Laser Powder Bed Fusion Additive Manufacturing of Ti-6Al-4V Alloy
💎 Surface Characteristics of Laser Polished Ti-6Al-4V Parts Produced by Electron Beam Melting Additive Manufacturing Process
🛠️ Wire Arc Additive Manufacturing of High-Strength Low Alloy Steels: Study of Process Parameters and Their Influence on the Bead Geometry and Mechanical Characteristics

Vasileios Laitsos | Engineering | Best Review Article Award

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Mr. Vasileios Laitsos | Engineering | Best Review Article Award

Mr. Vasileios Laitsos, University of Thessaly, Greece

Mr. Vasileios Laitsos is an accomplished researcher and electrical engineer from Greece, currently pursuing a PhD at the University of Thessaly, Department of Electrical and Computer Engineering, Volos. His research focuses on developing innovative forecasting models for electricity demand and wholesale electricity prices using artificial intelligence, particularly leveraging Python and the TensorFlow platform.

Education:

PhD in Electrical and Computer Engineering (July 2020 – Present)
University of Thessaly, Volos
Research Focus: AI-driven forecasting models for electricity demand and pricing.

Master’s in Smart Grid Energy Systems (October 2019 – February 2021)
University of Thessaly, Volos
Graduated as Valedictorian with a GPA of 9.63/10.
Thesis: “The Modern Power System from a Different Approach: Impact of Demand Side Management Methods.”

Diploma in Electrical and Computer Engineering (October 2011 – June 2017)
Aristotle University of Thessaloniki, Thessaloniki
GPA: 7.43/10.
Thesis: “Wind Power Forecasting using Support Vector Machines and Artificial Neural Networks.”

Professional Profiles:

ORCID Profile

Professional Experience:

Mr. Laitsos has a diverse professional background, with extensive experience in both research and industry. He currently serves as a Research Associate at HEDNO S.A. in Volos, where he contributes to European Union scientific programs such as ENFLATE and CENTAVROS, which focus on optimizing energy distribution systems. Concurrently, he is a Machine Learning Researcher for the ELVIS Research Project, working on developing a prototype integrated tool for managing the smart charging of electric vehicles by an EV Aggregator.

Previously, Mr. Laitsos served as a Technical Manager at Hellenic Dairies S.A., overseeing the electrical and electronic maintenance of the packaging department, leading a team of seven technicians, and managing two major projects. His earlier roles include Electrical Maintenance Engineer at Hellenic Halyvourgia S.A., where he gained hands-on experience with electrical circuits, AC/DC motors, and PLC systems, and an Electrical Engineer Internship at VIS S.A., where he familiarized himself with industrial electrical panels and machinery.

Skills and Achievements:

Mr. Laitsos possesses a comprehensive skill set, including expertise in machine learning, Python programming, TensorFlow, electrical circuit design, PLC systems, and energy system optimization. His leadership skills, team management experience, and ability to bridge the gap between theoretical research and practical implementation have been instrumental in his career. He is fluent in English and Greek and holds a valid driving license.

Publications:

1. The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market

Journal: Energies

Publication Date: November 2024

DOI: 10.3390/en17225797

Contributors: Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, Eleftherios Tsampasis, Dimitrios Bargiotas, Lefteri Tsoukalas

Source: Multidisciplinary Digital Publishing Institute

2. Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Journal: Electronics

Publication Date: May 2024

DOI: 10.3390/electronics13101996

Contributors: Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, Dimitrios Bargiotas, Lefteri Tsoukalas

Source: Multidisciplinary Digital Publishing Institute

3. Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method

Journal: Dynamics

Publication Date: May 2024

DOI: 10.3390/dynamics4020020

Contributors: Georgios Vontzos, Vasileios Laitsos, Avraam Charakopoulos, Dimitrios Bargiotas, Theodoros Karakasidis

Source: Multidisciplinary Digital Publishing Institute

4. State-of-the-Art of Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market

Type: Working Paper

DOI: 10.20944/preprints202411.0165.v1

Source: Multidisciplinary Digital Publishing Institute

Conclusion:

Mr. Vasileios Laitsos is a highly promising researcher with significant contributions to the field of electricity load and price forecasting. His review article in Energies demonstrates a deep understanding of the subject and provides valuable insights for advancing the state of the art in energy forecasting. With minor improvements in scope and quantitative analysis, Mr. Laitsos’s work has the potential to be a benchmark for future research in the field. Given his multidisciplinary expertise, collaborative spirit, and impactful research, he is a strong candidate for the Best Review Article Award. Recognizing his work would not only honor his individual achievements but also encourage further advancements in energy forecasting and smart grid technologies.

 

 

 

 

 

Temitayo Oladimeji | Engineering | Best Researcher Award

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Dr. Temitayo Oladimeji | Engineering | Best Researcher Award

Dr. Temitayo Oladimeji, Covenant University, Nigeria

Dr. Temitayo Oladimeji, a seasoned academic and researcher, is currently a Senior Lecturer at Covenant University, Ota, Nigeria. She holds a Ph.D., M.Sc., and B.Sc. in Chemical Engineering from Covenant University, Obafemi Awolowo University, and Ladoke Akintola University of Technology, respectively. With over a decade of teaching and research experience, her academic journey began at Covenant University in 2013, where she progressed through ranks, contributing significantly to the Chemical Engineering discipline.

Education:

Ph.D. in Chemical Engineering

Covenant University, Nigeria (2014–2019)

M.Sc. in Chemical Engineering

Covenant University, Nigeria (2011–2013)

B.Sc. in Chemical Engineering

Ladoke Akintola University of Technology, Ogbomoso (2003–2008)

Secondary Education

Anglican Grammar School, Ogbomoso (2000–2001)

Professional Profile:

Google Scholar

Orcid Profile

 

Professional Experience:

Dr. Temitayo Elizabeth Oladimeji is an accomplished academic and researcher specializing in Chemical Engineering at Covenant University, Nigeria. She holds a Ph.D. in Chemical Engineering from Covenant University, where she also obtained her MSc, building on her foundational education at Ladoke Akintola University of Technology (B.Sc. in Chemical Engineering) and further studies at Obafemi Awolowo University. Her secondary education was completed at Anglican Grammar School, Ogbomoso.

With over a decade of teaching experience, Dr. Oladimeji has held progressive academic positions, including Senior Lecturer and Assistant Lecturer at Covenant University. She has taught advanced courses such as Industrial Hazards and Environmental Pollution, Principles of Plant Design, and Chemical Engineering Laboratory Techniques. She has also contributed to administrative and advisory roles, serving as a departmental chaplain, college welfare officer, and level adviser.

Research Interests:

Her research interests span Environmental Engineering and Renewable Energy with a focus on waste-to-wealth innovations. Dr. Oladimeji has an impressive publication record, including 18 Scopus-indexed articles on critical topics such as particulate pollution, advanced CO₂ capture techniques, and renewable energy processes. She has collaborated extensively on projects involving the treatment of oil spills, activated carbon production, and industrial lubricant recycling.

 

Publications:

Compositional analysis of lignocellulosic materials: Evaluation of an economically viable method suitable for woody and non-woody biomass
TEO Augustine O. Ayeni, Opeyemi A. Adeeyo, Oyinlola M. Oresegun
American Journal of Engineering Research (AJER), 4(4), 14-19 (2015)
Citations: 241

Advanced techniques for the capturing and separation of CO2 – a review
OA Odunlami, DA Vershima, TE Oladimeji, S Nkongho, SK Ogunlade, et al.
Results in Engineering, 15, 100512 (2022)
Citations: 76

Production of activated carbon from sawdust and its efficiency in the treatment of sewage water
TE Oladimeji, BO Odunoye, FB Elehinafe, RO Oyinlola, AO Olayemi
Heliyon, 7(1) (2021)
Citations: 47

Data on the treatment of used lubricating oil from two different sources using solvent extraction and adsorption
TE Oladimeji, JA Sonibare, JA Omoleye, AA Adegbola, HI Okagbue
Data in Brief, 19, 2240-2252 (2018)
Citations: 46

Preparation and characterization of activated carbon from plantain peel and coconut shell using biological activators
VE Efeovbokhan, EE Alagbe, B Odika, R Babalola, TE Oladimeji, et al.
Journal of Physics: Conference Series, 1378(3), 032035 (2019)
Citations: 40

A review on treatment methods of used lubricating oil
TE Oladimeji, JA Sonibare, JA Omoleye, ME Emetere, FB Elehinafe
International Journal of Civil Engineering and Technology (IJCIET), 9(12), 506-514 (2018)
Citations: 27

Implications of lack of maintenance of motorcycles on ambient air quality
OA Odunlami, FB Elehinafe, TE Oladimeji, MA Fajobi, OB Okedere, et al.
IOP Conference Series: Materials Science and Engineering, 413, 012055 (2018)
Citations: 25

Statistical examination of the aerosols loading over Kano-Nigeria: the satellite observation analysis
ME Emetere, ML Akinyemi, TE Oladimeji
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, 25 (2016)
Citations: 25

Environmental Impact Analysis of the Emission from Petroleum
OKMOOR Oladimeji T. E., Sonibare J. A.
Energy and Environment Research, 5(1), 33-41 (2015)
Citations: 20

Modeling of criteria air pollutant emissions from selected Nigerian petroleum refineries
T Oladimeji, J Sonibare, M Odunfa, A Ayeni
Journal of Power and Energy Engineering, 3(06), 31 (2015)
Citations: 19

 

Conclusion:

Dr. Temitayo Oladimeji is an exemplary candidate for the Best Researcher Award due to her academic achievements, impactful research, and dedication to advancing sustainable solutions in chemical engineering. Her work is well-aligned with global environmental challenges, and her ability to produce innovative, practical solutions is a testament to her expertise. Although there is room for improvement in increasing her international exposure and diversifying her research, her existing body of work and continued contributions to the field position her as a strong contender for the award.

 

 

 

Wenbo Li | Engineering | Best Researcher Award

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Prof. Wenbo Li | Engineering | Best Researcher Award

Prof. Wenbo Li,  Northeastern University, China

Prof. Wenbo Li, hailing from Chifeng, Inner Mongolia, is a distinguished academic and researcher at Northeastern University, China, where he was exceptionally promoted to professor and serves as a doctoral supervisor. A national-level young talent, Prof. Li leads groundbreaking work as the chief young scientist of the National Key R&D Program and is the recipient of prestigious accolades such as the Liaoning Province Outstanding Youth Fund and recognition as a leading talent in Shenyang.

Education:

Doctor of Philosophy (PhD)

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2010 – December 20, 2014

Master’s Degree

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2008 – July 15, 2010

Bachelor’s Degree

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2004 – July 15, 2008

 

Professional Profile:

Orcid Profile

Scopus profile

 

Professional Experience:

Prof. Wenbo Li, a prominent academic from Chifeng, Inner Mongolia, has demonstrated exceptional achievements throughout his career. As a professor and doctoral supervisor at Northeastern University, China, Prof. Li has been recognized as a national-level young talent, highlighting his exceptional contributions to Mineral Processing Engineering. With accolades including the Liaoning Province Outstanding Youth Fund and leadership roles such as chief young scientist of the National Key R&D Program, his academic journey and leadership mark him as a distinguished researcher.

Research Interests:

Prof. Li has spearheaded transformative research in the efficient sorting and high-value utilization of strategic mineral resources like iron, rare earth, and graphite. With 23 research projects under his leadership and over ¥20 million in enterprise collaborations, his innovative approach integrates basic research, pilot testing, and engineering application. His collaborative initiatives extend globally, fostering partnerships with enterprises such as Jiusteel and institutions in Zambia, further enhancing the practical relevance of his research.

 

Publications:

 

1. Green approach for separating iron and rare earths from complex polymetallic solid residues via hydrogen-based mineral phase transformation: A pilot-scale study

Authors: Ning, J., Gao, P., Yuan, S., Sun, Y., Li, W.

Journal: Separation and Purification Technology, 2024, 350, 128006

Citations: 1

2. Recent technology developments in beneficiation and enrichment of ilmenite: A review

Authors: Wang, H., Zhang, X., Qu, R., Zhang, L., Li, W.

Journal: Minerals Engineering, 2024, 219, 109084

Citations: 0

3. A zero-carbon emission approach for the reduction of refractory iron ores: Mineral phase, magnetic property and surface transformation in hydrogen system

Authors: Li, W., Wang, H., Han, Y., Zhang, X., Han, W.

Journal: International Journal of Hydrogen Energy, 2024, 89, pp. 531–540

Citations: 0

4. High efficiency separation of bastnaesite (REFCO3) and monazite (REPO4) in mixed rare earth concentrate by heating under N2 and leaching with HCl/AlCl3

Authors: He, J., Gao, P., Yuan, S., Sun, Y., Li, W.

Journal: Hydrometallurgy, 2024, 228, 106338

Citations: 1

5. Effect of different mills on the fine grinding characteristics and leaching behaviour of gold ore

Authors: Zhang, X., Wei, H., Han, Y., Zhou, Z., Li, W.

Journal: Minerals Engineering, 2024, 215, 108800

Citations: 0

6. Thermal decomposition mechanism and kinetics of bastnaesite in suspension roasting process: A comparative study in N2 and air atmospheres

Authors: Li, W., Chen, J., Cheng, S., Sun, J., Zhang, X.

Journal: Journal of Rare Earths, 2024, 42(9), pp. 1809–1816

Citations: 2

7. A clean and green technology for iron extraction from refractory siderite ore via fluidization self-magnetization roasting

Authors: Zhang, X., Liu, P., Gao, P., Han, Y., Li, W.

Journal: Powder Technology, 2024, 444, 119993

Citations: 0

8. Isothermal and non-isothermal decomposition mechanisms of bastnaesite during the hydrogen-based mineral phase transformation

Authors: Zhang, Q., Sun, Y., Han, Y., Gao, P., Li, W.

Journal: International Journal of Hydrogen Energy, 2024, 68, pp. 929–939

Citations: 3

9. Effect of sodium carboxymethyl cellulose on the interaction between hematite particles and bubbles

Authors: Zhi, H., Dong, Z., Wang, H., Liu, J., Li, W.

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, 688, 133649

Citations: 1

10. Influence of the screw-thread rod matrix on the magnetic capture behavior of bastnaesite

Authors: Li, W., Sun, J., Zhang, X., Cheng, S., Ding, X.

Journal: Powder Technology, 2024, 440, 119738

Citations: 0

 

Conclusion:

Prof. Wenbo Li is a highly suitable candidate for the Best Researcher Award due to his exceptional academic credentials, significant research contributions, impactful industry collaborations, and national recognition. His work in mineral processing, rare earths, and strategic resource utilization aligns with critical global priorities. With minor advancements in interdisciplinary research and global outreach, his candidacy could be unparalleled.