Afraa KHATTAB | Engineering | Best Research Article Award

Afraa KHATTAB | Engineering | Best Research Article Award

Ms. Afraa KHATTAB, University of Miskolc, Hungary

Afraa Khattab is a dynamic and innovative mechanical engineer with a strong academic and professional foundation. She holds a master’s degree in mechanical engineering from Damascus University and is currently pursuing her PhD at the Sályi István Doctoral School of Mechanical Engineering Sciences, University of Miskolc, Hungary. Afraa has accumulated eight years of diverse experience spanning academia, research, and project management, contributing to over 10 major engineering projects. Her work integrates cutting-edge robotic control, programming languages like C++ and C#, and simulation tools such as CAD and Siemens SIMATIC STEP 7. Afraa’s contributions also extend to international recruitment and business development, reflecting her excellent communication and leadership skills. With fluency in Arabic and English and proficiency in French and Hungarian, she thrives in multicultural environments. As a PhD researcher, she focuses on machining and manufacturing engineering, particularly optimizing plunge milling processes to improve tool performance and manufacturing efficiency.

Publication Profile

orcid

🎓 Education

Afraa Khattab’s educational journey is rooted in excellence and specialization in mechanical engineering and robotics. She is currently a PhD student at the Sályi István Doctoral School of Mechanical Engineering Sciences, University of Miskolc, Hungary, where she conducts advanced research in machining and manufacturing engineering. Prior to her doctoral studies, Afraa earned a Master’s degree in Mechanical Engineering from the Faculty of Mechanical and Electrical Engineering, Damascus University, Syria, from 2016 to 2020. During her master’s program, she also undertook extensive training in robotic techniques at the Faculty of Mechatronics, where she honed her skills in robotic control, programming, and simulation. Her academic foundation was established with a Bachelor’s degree in Mechanical Engineering from Damascus University between 2010 and 2015. These academic milestones, complemented by practical robotics training, have equipped Afraa with comprehensive knowledge and technical expertise in mechanical design, automation, and innovative manufacturing processes.

💼 Experience

Afraa Khattab’s professional experience spans research, academia, and industry. As a PhD Researcher at the University of Miskolc’s Institute of Manufacturing Science (2023–present), she investigates plunge milling processes to enhance cutting efficiency, tool life, and material removal rates. She also serves as an International Recruiter under ISSRR, assisting prospective students in navigating the university admission process. In 2024–2025, Afraa contributed to GAOTek Inc. as a Business Development Intern, analyzing markets and fostering client relations. Her role as a Robotic Engineer at Damascus University’s Faculty of Mechatronics (2018–2020) involved upgrading robotics systems and developing innovative 3D-knitted fabrics that improved product strength and reduced waste. Between 2017 and 2023, she lectured on engineering principles, programming, and robotics, guiding over 500 students per semester and improving academic performance. Afraa also optimized examination processes as an Assistant Examiner, applying data analysis to streamline grading and maintain consistency.

🏆 Honors and Awards

Afraa Khattab’s profile reflects consistent academic and professional excellence; however, there are no specific formal awards or honors listed in the provided information. Her achievements include significant contributions to research, education, and industrial innovation, such as developing a high-strength 3D-knitted fabric that enhanced production efficiency and reduced material waste. As a university lecturer, her mentorship and teaching positively impacted hundreds of engineering students, demonstrated by a 28% improvement in their examination results. Her leadership in robotic system upgrades and contributions to machining processes as a PhD researcher have been recognized through opportunities to present at international conferences. Furthermore, her role in international recruitment for the University of Miskolc and her strategic analysis work at GAOTek Inc. illustrate her versatility and capability in interdisciplinary and cross-cultural environments. These accomplishments showcase Afraa’s growing recognition as an emerging expert in mechanical and manufacturing engineering.

🔬 Research Focus

Afraa Khattab’s research primarily revolves around machining and manufacturing engineering, with a focus on optimizing plunge milling processes. As a PhD researcher at the University of Miskolc’s Institute of Manufacturing Science, she investigates theoretical and experimental techniques to improve cutting performance, enhance tool life, and increase material removal rates in metalworking processes. Her work integrates advanced simulation, tool-path modeling, and real-time force measurement to refine machining accuracy and productivity. Previously, her research at Damascus University emphasized robotics and automation, where she upgraded robotic arms and innovated new 3D-knitted fabrics that improved mechanical properties and reduced production costs. Afraa’s interdisciplinary approach combines mechanical design, programming, data analysis, and manufacturing processes, bridging the gap between theoretical models and industrial applications. Her interests include robotic control systems, AI tools in manufacturing, and sustainable engineering practices aimed at reducing material waste and energy consumption in production environments.

📚 Publications

🔸 Investigating Plunge Milling Parameters to Enhance Machining Performance in High-Strength Alloys ✨🔧
🔸 Force Analysis and Tool Wear Assessment in Controlled Machining Experiments 🔍🛠️
🔸 Simulation-Based Optimization of Tool Paths for Improved Milling Efficiency 💻⚙️

Vasileios Laitsos | Engineering | Best Review Article Award

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.

 

 

 

 

 

Fadia Ahmed A. Naji | Engineering | Best Researcher Award

Ms. Fadia Ahmed A. Naji | Engineering | Best Researcher Award

Ms. Fadia Ahmed A. Naji, Delhi Technological University, India

Ms. Fadia Ahmed A. Naji is a dedicated scholar and professional with a strong foundation in Industrial and Mechanical Engineering. Her academic qualifications, professional experiences, research accomplishments, and skills exemplify her commitment to academic excellence and industrial applications. Ms. Naji is recognized for her analytical and organizational skills, problem-solving abilities, and excellent interpersonal communication. Her ability to manage work efficiently under pressure and collaborate effectively with academic and industrial teams highlights her versatility and dedication.

Education:

Ms. Naji has a solid educational background, starting with a B.Sc. in Industrial Engineering from Taiz University, Yemen, in 2012, followed by an M.Sc. in Industrial Engineering from the same institution in 2021. She is currently pursuing a Ph.D. in Mechanical Engineering at Delhi Technological University, India, with a research focus on advanced materials and sustainable manufacturing. This progression demonstrates her dedication to enhancing her expertise and contributing to cutting-edge research.

Professional Profiles:

ORCID Profile

Professional Experience:

Ms. Naji’s professional journey includes roles such as Head of the Planning and Purchasing Departments at Alahlia Mineral Water Co. in Yemen (2012–2019), where she honed her skills in industrial management and strategic operations. Additionally, she has served as a Teaching Assistant at Iqra College, sharing her knowledge and inspiring future engineers. Her experience bridges academia and industry, reflecting her practical and theoretical understanding of engineering principles.

Skills:

Ms. Naji possesses an impressive skill set that includes analytical reasoning, project management, and proficiency in computer science. Her ability to blend logic with creative problem-solving makes her a standout researcher. Additionally, her excellent communication, teamwork, and organizational abilities ensure she thrives in collaborative environments, making her research impactful and widely disseminated.

Research Interests:

Ms. Naji has made notable contributions to scientific literature, particularly in the fields of quality control, nano-finishing of titanium alloys, and sustainable manufacturing processes. Her publications, such as “Designing an Integrated Model of Quality Control and Maintenance Planning” and “Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy,” showcase her innovative approaches to solving contemporary engineering challenges. Her research on environmentally friendly methods for biomedical implant surface modifications underlines her focus on sustainability and social impact.

Publications:

Designing an integrated model of quality control and maintenance planning for the multi-component system using the CUSUM chart

Challenges and opportunities in nano finishing of titanium alloys for biomedical applications: A review

Future Perspectives and Research Trends in Chemo-mechanical Magneto-rheological Finishing for Enhanced Surface Quality

A Novel Thermochemical Process for Ti46 Alloy Surface Modification by Environmentally Friendly for Biomedical Implant Applications

Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy: Enhancing Surface Finish through pH Regulation and Process Parameter Optimization

 

Conclusion:

Ms. Fadia Ahmed A. Naji is a strong candidate for the Best Researcher Award. Her academic achievements, professional expertise, and significant research contributions in industrial engineering and sustainable manufacturing distinguish her as a researcher with substantial potential. Strengthening her global outreach and expanding interdisciplinary collaborations can further elevate her profile.

This combination of academic rigor, practical experience, and impactful research positions her as a deserving nominee for this award.