Prof. Adel Hatami-Marbini | Decision Sciences | Best Researcher Award

Published on by Shen Awards

Prof. Adel Hatami-Marbini | Decision Sciences | Best Researcher Award

Professor at Decision Sciences, University of Huddersfield, United Kingdom

Professor Adel Hatami-Marbini is a highly accomplished academic with expertise in supply chain management, analytics, and business management. Currently, he holds the position of Professor of Supply Chain Management and Analytics at Huddersfield Business School, University of Huddersfield. He previously served as a Professor and Senior Lecturer at De Montfort University and held various academic positions at universities in Belgium and the UK.

Professor Hatami-Marbini’s research interests include supply chain analytics, business analytics in operations management, sustainability in logistics and supply chains, and digital supply chain management. He has received research funding from prestigious organizations and has a strong publication record, as evidenced by his Google Scholar and Research Gate profiles.

Professional Profiles:

Academic Positions:

Prof. Adel Hatami-Marbini is a Professor of Supply Chain Management and Analytics at the Huddersfield Business School, University of Huddersfield, UK, since March 2023. Previously, he was a Professor of Business and Management at the Faculty of Business and Law, De Montfort University, Leicester, UK, from 2017 to March 2023. He served as a Senior Lecturer at De Montfort University from 2017 to 2018. Prof. Hatami-Marbini held the Chair in Logistics and Supply Chain Management and chaired the Innovative Logistics and Supply Chains Research Group during his tenure at De Montfort University. From 2013 to 2016, he was a Researcher fellow of the F.R.S.-FNRS (Chargé de Recherches F.R.S.-FNRS) at the Center of Operations Research and Econometrics (CORE) at Université catholique de Louvain (UCL) in Louvain-la-Neuve, Belgium. Additionally, he has held part-time posts as a Postgraduate Supervisor at Aston Business School, Aston University, Birmingham, UK, since 2022, and as a Postgraduate Supervisor at the School of Management, University of Central Lancashire, Preston, UK, since 2022. He was an Adjunct Professor at the Department of Business Administration, University of Namur, Namur, Belgium, from 2015 to 2020, and a Senior Researcher at the Department of Economics, University of Liege, Liege, Belgium, from 2016 to 2018.

Industry Experience:

From 2006 to 2010, He worked as a Project Planning and Consultant Engineer at the construction company Azarsimab. Prior to that, from 2005 to 2006, He served as a Consultant in Production Planning at an automobile manufacturing company, IKCO. Concurrently during the same period, I also worked as a Consultant in Total Quality Management at the consulting company Behpoyan Tadbir.

Education:

Prof. Adel Hatami-Marbini completed his Ph.D. in Economics & Management Sciences with a focus on Supply Chain Management at the Center for Supply Chain Management, Louvain School of Management, Université Catholique de Louvain (UCL), Belgium, from 2010 to 2013. He earned his M.Sc. in Industrial Engineering, specializing in System & Productivity Management with distinction, from IAU, Iran, from 2005 to 2008. His undergraduate studies include a B.Sc. in Industrial Engineering, with a specialization in Planning & System Analysis, also with distinction, completed from 2001 to 2005.

Research Interest:

Prof. Adel Hatami-Marbini’s research interests include Supply Chain Analytics, Business Analytics in Operations Management, Sustainability in Logistics and Supply Chains, Digital Supply Chain Management (with applications in healthcare, food, etc.), Quantitative and Optimization Modeling and Data Science, Logistics and Transportation, Decision Support Systems (Multi-Criteria Decision Making & Multi-Objective Decision Making methodologies), and Performance and Productivity Management.

Teaching Experience:

Prof. Adel Hatami-Marbini has been actively involved in teaching and supervising various modules at Huddersfield Business School and De Montfort University. At Huddersfield Business School since 2023, he has supervised the Individual Research Project for 15 students, led the Group Consultancy Project, taught Project Management, Research Methods, and served as Module Leader for Data Analysis and Visualization and Supply Chain Planning and Control. During his time at De Montfort University from 2019 to 2023, Prof. Hatami-Marbini served as Module Leader for Operations and Service Quality Management for postgraduate students (300 students) and Global Operations and Supply Chain Management for undergraduate students (250 students). He also supervised the Dissertation Module for both postgraduate and undergraduate students.

Publications:

A Hatami-Marbini, A Emrouznejad, M Tavana. “A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making.” European Journal of Operational Research 214 (3), 457-472. (2011), 521 citations.

A Hatami-Marbini, M Tavana. “An extension of the Electre I method for group decision-making under a fuzzy environment.” Omega 39 (4), 373-386. (2011), 395 citations.

S Saati, A Hatami-Marbini, A Makui. “Group decision making using Fuzzy TOPSIS.” Journal of Operational Research and its Applications 4 (13), 21–34. (2007), 351 citations.

M Tavana, A Hatami-Marbini. “A group AHP-TOPSIS framework for human spaceflight mission planning at NASA.” Expert Systems with Applications 38 (11), 13588-13603. (2011), 202 citations.

A Hatami-Marbini, M Tavana, M Moradi, F Kangi. “A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities.” Safety Science 51 (1), 414-426. (2013), 175 citations.

AH Shokouhi, A Hatami-Marbini, M Tavana, S Saati. “A robust optimization approach for imprecise data envelopment analysis.” Computers & Industrial Engineering 59 (3), 387-397. (2010), 153 citations.

A Hatami-Marbini, F Kangi. “An extension of fuzzy TOPSIS for a group decision making with an application to Tehran stock exchange.” Applied Soft Computing 52, 1084-1097. (2017), 152 citations.

 

 

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

Published on by Shen Awards

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.