Aylin Pakzad | Engineering | Best Researcher Award

Dr. Aylin Pakzad | Engineering | Best Researcher Award

Kosar University of Bojnord | Iran

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🎓 Early Academic Pursuits

Dr. Aylin Pakzad's academic journey began with a Bachelor's degree in Industrial Engineering, specializing in industrial production, from Shahid Bahonar University of Kerman, graduating in 2018. Her passion for the field led her to pursue a Master's degree in Industrial Engineering with a specialization in industrial systems at the same university, completing it in 2013. She furthered her education with a study opportunity at Iran University of Science and Technology from December 2018 to June 2019. Dr. Pakzad culminated her academic pursuits with a Ph.D. in Industrial Engineering from Ferdowsi University of Mashhad, a degree she accepted in July 2022.

💼 Professional Endeavors

Dr. Pakzad has held several significant academic positions, showcasing her leadership and expertise in the field. She served as the Deputy Director of the Industrial Engineering Department at Ishraq Bojnoord Institute of Higher Education in 2014. From 2013 to 2015, she was the Head of the Industrial Engineering Department at Kausar Bojnord University. Since 2014, Dr. Pakzad has been a valued member of the faculty at the Faculty of Technology, Engineering, and Basic Sciences at Kausar Bojnord University.

🔬 Contributions and Research Focus

Dr. Pakzad's research is marked by a focus on Statistical Quality Control, Process Capability Analysis, Fuzzy Statistics, and Data Mining. Her scholarly contributions are reflected in her numerous publications in international journals. Notable works include her 2014 study on evaluating the performance of an educational system using an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model. Her research extends to developing new indices for process capability analysis and innovative approaches to data mining.

🏆 Accolades and Recognition

Dr. Pakzad's academic and research excellence has earned her recognition within the industrial engineering community. Her work has been featured in both international journals and conferences, such as the International Journal of Data Envelopment Analysis and the Journal of Statistical Computation and Simulation. Her pioneering research on process capability indices for linear profiles and innovative approaches to quality engineering has cemented her reputation as a leading expert in her field.

🌍 Impact and Influence

Dr. Pakzad's influence extends beyond academia. Her research has practical applications in quality management, industrial engineering, and data analysis, impacting various industries. Her work on statistical models and process capability indices has provided valuable tools for engineers and researchers alike, contributing to the advancement of industrial practices and academic knowledge.

🌟 Legacy and Future Contributions

Dr. Pakzad continues to push the boundaries of industrial engineering with her innovative research and dedicated teaching. Her legacy is one of intellectual rigor, leadership, and a commitment to advancing the field of industrial engineering. As she continues her work, Dr. Pakzad is poised to make further significant contributions, shaping the future of industrial engineering and inspiring the next generation of engineers and researchers.

 

Publications 


📝Process Capability Index for Simple Linear Profile in the Presence of Within- and Between-Profile Autocorrelation 
Authors: Aylin Pakzad , Ali Yeganeh , Rassoul Noorossana , and Sandile Charles Shongwe
Journal: Mathematics
Year: 2024


📝Process Capability Analysis for Simple Linear Profiles 
Authors: Aylin Pakzad , S. Adibfar , H. Razavi , R. Noorossana
Journal: Quality & Quantity
Year: 2024


📝Problem Development, Model Formulation and Proposed Algorithm for Capacitated Arc Routing Problem with Priority Edges 
Authors: F. Tanhaie , Aylin Pakzad
Journal: International Journal of Industrial Engineering and Production Research
Year: 2023


📝A New Incapability Index for Simple Linear Profile with Asymmetric Tolerances 
Authors: Aylin Pakzad , E. Basiri
Journal: Quality Engineering
Year: 2023


📝Developing Loss-Based Functional Process Capability Indices for Simple Linear Profile 
Authors: Aylin Pakzad , H. Razavi , B. Sadeghpour Gildeh
Journal: Journal of Statistical Computation and Simulation
Year: 2022


 

 

Mahmoud Karaz | Engineering | Best Researcher Award

Mr. Mahmoud Karaz | Engineering | Best Researcher Award

University of Minho | Portugal

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Early Academic Pursuits 🎓

Mahmoud Karaz's academic journey began with a Bachelor's degree in Geomatics and Surveying Engineering from Al Balqa Applied University in Jordan. Building a solid foundation in civil engineering principles, he further advanced his expertise by earning a Master's Degree in Civil Engineering with a focus on Construction Technology Management from Politécnica Poznanska in Poland. His pursuit of academic excellence continued as he embarked on a PhD in Lean Construction and Building Information Modeling (BIM) at Universidade Do Minho in Portugal, where he currently contributes to cutting-edge research in the field.

Professional Endeavors 🏗️

Throughout his career, Mahmoud has garnered extensive experience in construction management and BIM across various countries, including Jordan, Saudi Arabia, Portugal, and Poland. His roles have ranged from a Site Manager at Marwan al kurdi, where he ensured the precision of surveying activities for highways and concrete works, to a Construction Project Manager at Nahdet Al Emaar in Saudi Arabia. Here, he successfully managed project costs and schedules for high-budget projects. In his role as a BIM Coordinator at VN2R in Portugal, Mahmoud advanced BIM-based project delivery methodologies, enhancing the competitiveness and success of construction projects.

Contributions and Research Focus 🧩

Mahmoud's research interests lie in Lean Construction and BIM integration. He conducts comprehensive literature reviews to identify gaps in these areas, formulates proposals, and evaluates their efficacy through data analysis. Engaging with industry partners, he gains insights on practical adoption and presents findings at academic forums. His contributions to the field also include mentoring students and advancing professional skills. His work emphasizes optimizing project efficiency, quality assurance, and stakeholder management, aligning with his commitment to enhancing construction methodologies.

Accolades and Recognition 🏅

Mahmoud's dedication to his field has been recognized through various roles and responsibilities he has undertaken. His ability to manage complex projects, develop customized workflows using Dynamo and Grasshopper, and provide training and mentorship in BIM technology showcases his multifaceted skill set. His efforts have resulted in significant cost savings, timely project delivery, and enhanced project outcomes, earning him respect and recognition in the construction management and BIM communities.

Impact and Influence 🌍

Mahmoud's work in Lean Construction and BIM has had a substantial impact on the construction industry. His methodologies and research have contributed to improving project efficiency, reducing costs, and enhancing overall project quality. By integrating advanced BIM techniques and Lean Construction principles, he has influenced the way construction projects are managed and executed, leading to more effective and sustainable practices.

Legacy and Future Contributions 🌟

Mahmoud Karaz's legacy in the field of construction management and BIM is marked by his commitment to advancing academic and professional development. His collaborative approach and passion for research position him to make meaningful contributions to the industry. As he continues his PhD and professional endeavors, Mahmoud aims to further refine and innovate construction methodologies, leaving a lasting impact on the field and contributing to the growth and success of organizations worldwide.

 

Publications 📚

Mitigating Making-Do Practices Using the Last Planner System and BIM: A System Dynamic Analysis 📄

Authors: M Karaz, JMC Teixeira, TG do Amaral
Journal: Preprints
Year: 2024

Digital Asset Production Using Lean Design Management: A Conceptual Framework 📄

Authors: M Karaz, JC Teixeira
Journal: New Advances in Building Information Modeling and Engineering Management
Year: 2023

Waste Elimination based on Lean Construction and Building Information Modelling: A Systematic Literature Review 📄

Authors: M Karaz, JC Teixeira
Journal: U. Porto Journal of Engineering
Year: 2023

A System Dynamic Modelling Approach for Integrated Lean-BIM Planning and Control Methods 📄

Authors: M Karaz, JMC Teixeira
Journal: International Group for Lean Construction (IGLC)
Year: 2023

Waste Elimination and Value Management Framework Based on Lean Design Methods 📄

Authors: M Karaz, JC Teixeira
Journal: International Conference on Trends on Construction in the Post-Digital Era
Year: 2022

 

Mr. Pouya Farshbaf Aghajani | Food Engineering |Best Researcher Award

Mr. Pouya Farshbaf Aghajani | Food Engineering |Best Researcher Award

University of Tehran | Iran

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Early Academic Pursuits

Pouya Farshbaf Aghajani began his academic journey at the University of Tabriz, excelling in Biosystem Mechanical Engineering, where he ranked fourth among his peers. His undergraduate thesis on the development and optimization of a Combined Ultrasound-Assisted Cultivation and Growing System of Chlorella vulgaris microalgae hinted at his early interest in sustainable resource development and innovative extraction technologies.

Professional Endeavors

Transitioning to the University of Tehran for his Master's in Mechanics of Biosystem Engineering, Pouya swiftly rose to the top, ranking first among his peers with a thesis that revolutionized the use of ultrasound in cultivating microalgae. His research experiences as a Research Assistant, particularly in designing advanced ultrasonic devices for frying, freezing, and cultivation, showcased his prowess in implementing cutting-edge technology in food processing.

Contributions and Research Focus

Pouya's contributions are evident in his publications exploring ultrasound's applications in enhancing frozen mushroom quality, improving oil extraction from microalgae for biofuel production, and even leveraging deep learning techniques for mushroom identification. His focus on sustainable resource development, food safety, and ultrasound technology within food processing reflects his commitment to advancing these domains.

Accolades and Recognition

His academic excellence has been repeatedly acknowledged, from securing scholarships for both undergraduate and graduate studies to ranking within the top percentiles in Iranian University Entrance Exams. Awards such as being ranked first in GPA among master's students and his research contributions that led to publications in prestigious journals underscore his recognition in the academic sphere.

Impact and Influence

Pouya's work in ultrasound-assisted technologies for food processing has already made a substantial impact. His research not only enhances food quality but also promotes more sustainable and efficient methods of resource utilization. By sharing his expertise and collaborating with esteemed professors, he's contributing to the advancement of biosystem engineering and food technology.

Legacy and Future Contributions

Pouya Farshbaf Aghajani's legacy lies in his pioneering work at the intersection of ultrasound technology and food processing. His dedication to sustainable practices and innovative techniques will likely inspire future researchers in the field. His ongoing research and collaborations are poised to further elevate the efficiency and sustainability of food production methods, leaving a lasting impact on the industry.

Notable Publications

The improvement of freezing time and functional quality of frozen mushrooms by application of probe-type power ultrasound 2023 (1)

Revolutionizing Mushroom Identification: Improving efficiency with ultrasound-assisted frozen sample analysis and deep learning techniques 2024