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

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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.

 

 

Assist Prof Dr. Jean Peyhardi | Statistics | Best Researcher Award

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Assist Prof Dr. Jean Peyhardi | Statistics | Best Researcher Award

IMAG at Statistics, University of Montpellier, France

👨‍🎓He 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.

🔬 He 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:

👩‍🏫 Work Experience:

  • 2015–Present: Assistant Professor, University of Montpellier.
  • 2013–2015: A.T.E.R., University of Montpellier.

📚 Education:

  • 2010–2013: PhD in Biostatistics, University of Montpellier.
  • 2009–2010: Master of Probability and Statistics, University of Bordeaux.
  • 2008–2009: C.A.P.E.S. of Mathematics.
  • 2006–2008: Master of Fundamental Mathematics, University of Bordeaux.

🎓 PhD Thesis Title:

A new GLM framework for analyzing categorical data; application to plant structure and development.

👩‍🏫 Supervisors:

Yann Guédon & Catherine Trottier.

💻 Computer Skills:

Basic C++, Intermediate Python, R, LATEX, OpenOffice, Linux, Microsoft Windows.

Conferences:

  • 2023: Processus markoviens, semi-markoviens et leurs applications (Montpellier, France).
  • 2019: 12th International Conference on Computational and Methodological Statistics (London, UK).
  • 2015: 30th International Workshop on Statistical Modelling (Linz, Austria).
  • 2016: 46ème Journée de Statistique (Rennes, France).
  • 2013: 28th International Workshop on Statistical Modelling (Palermo, Italy).
  • 7th International Conference on Functional-Structural Plant Models (Saariselka, Finland).
  • 2012: 44ème Journée de Statistique (Bruxelles, Belgium).

Publications:

J. Peyhardi, C. Trottier, Y. Guédon. “A new specification of generalized linear models for categorical responses.” Biometrika 102 (4), 889-906. (2015) – Citations: 32

JB. Durand, B. Guitton, J. Peyhardi, Y. Holtz, Y. Guédon, C. Trottier, E. Costes. “New insights for estimating the genetic value of segregating apple progenies for irregular bearing during the first years of tree production.” Journal of experimental botany 64 (16), 5099-5113. (2013) – Citations: 30

A. Barbieri, J. Peyhardi, T. Conroy, S. Gourgou, C. Lavergne, C. Mollevi. “Item response models for the longitudinal analysis of health-related quality of life in cancer clinical trials.” BMC medical research methodology 17, 1-13. (2017) – Citations: 18

H. Bouscasse, I. Joly, J. Peyhardi. “A new family of qualitative choice models: An application of reference models to travel mode choice.” Transportation Research Part B: Methodological 121, 74-91. (2019) – Citations: 15

J. Peyhardi, Y. Caraglio, E. Costes, PÉ. Lauri, C. Trottier, Y. Guédon. “Integrative models for joint analysis of shoot growth and branching patterns.” New Phytologist 216 (4), 1291-1304. (2017) – Citations: 13

 

 

Mr. Simar Muratov | Data Analysis | Young Scientist Award

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Mr. Simar Muratov | Data Analysis | Young Scientist Award

Postgraduate Student at Data Analysis, ITMO University, Russia

👨‍🎓He 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.

🔬 He 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:

Mr. Simar Muratov has a strong educational background in the field of computer science. He completed his studies in Information Security from 2016 to 2020 at Peter the Great St.Petersburg Polytechnic University. Following this, he pursued Artificial Intelligence and Machine Learning from 2020 to 2022, again at Peter the Great St.Petersburg Polytechnic University. Currently, he is studying Theoretical Informatics at ITMO University, with an expected completion date in 2025. This diverse educational journey indicates a well-rounded understanding of various aspects of computer science and technology.

Summary:

Mr. Simar Muratov holds a Master’s degree in Mathematics and Computer Science, specializing in Artificial Intelligence and Machine Learning, from Peter the Great St. Petersburg Polytechnic University. Currently, he works as a DevOps engineer in the infrastructure automation team at Sberbank of Russia, while also pursuing a Ph.D. in Theoretical Informatics at ITMO University. During his university years, he began working on a secure big data lake framework and has since gained expertise in developing CI/CD pipelines, customizing IaaC solutions, and designing architectures. Mr. Muratov is actively improving his skills in DevSecOps, MLOps, and cloud computing (SberCloud, YandexCloud). He holds certifications in Azure cloud services (AZ-900 and AI-900) and is preparing for the AWS Solutions Architect Associate certification, in addition to completing corporate training within the company.

Experience:

Mr. Simar Muratov has been employed as a DevOps engineer in the infrastructure development team at Sberbank of Russia since 2023. In this role, he is responsible for various tasks such as developing Ansible playbooks and roles, supporting server configuration setup, and administering Linux and PostgreSQL DBMS. Additionally, he is involved in the development of automation scripts in Python/bash, administration of k8s/OpenShift clusters, implementation of custom terraform modules, and setting up monitoring and logging systems. During his tenure, Mr. Muratov successfully addressed three key challenges, including creating a unified gateway inventory for component-based stands, developing a unified ansible inventory format for job customization, and implementing nginx PL/SPF auditing to streamline configuration alignment and monitor certificate expiry dates.

Skills:

Mr. Simar Muratov is proficient in a wide range of programming languages, DevOps tools, cloud computing, administration, build tools, and additional skills in data science, data engineering, databases, quality assurance, management, and documentation. He is certified in Python and also has expertise in C++. His scripting languages include bash and groovy. In DevOps, he has experience with version control (Github, BitBucket, GitLab), CI/CD tools (Jenkins, TeamCity, GitLab CI, CircleCI), and distribution repositories (Nexus, Artifactory, DockerHub, Azure CR). He is skilled in containerization/orchestration (Docker, docker-compose, docker-swarm, k8s, Openshift), configuration/infrastructure management (Ansible, Terraform), and cloud computing (AWS, Azure certified, SberCloud). Mr. Muratov is proficient in Linux and Windows administration and various build tools (make, maven, sbt, gradle, npm, PyInstaller, Cython, PyPy). His side skills include data science (Tensorflow, sklearn, numpy, pandas, matplotlib, seaborn, R, DVC, MLFlow), data engineering (Apache Spark, Apache Airflow, Apache Kafka, Redis, CTL, YARN, oozie, HDFS), databases (PostgreSQL, MongoDB, Apache HBase, ClickHouse, Greenplum), quality assurance (Selenium, PyTest, Lettuce, Robot), management (Jira), and documentation (Confluence). He is proficient in English (B2+) and has basic knowledge of German (A1).

Projects:

Mr. Simar Muratov has been involved in several notable projects, including the development of a secure operating system for the Parrot AR Drone 2.0, utilizing “iptables” rules and a proprietary cryptographic protocol. He has also demonstrated his skills in creating tasks for Yandex Alice’s “Tasks from Fractal” using Java, Maven, Tomcat, J2SE, servlets, JSON, XML, and PostgreSQL. The prototype for this project was hosted on Amazon services. Additionally, Mr. Muratov has worked on mobile device security tools leveraging deep learning and artificial intelligence hardware support, developed using TensorFlow Lite. He has contributed to the architecture of a secure big data lake framework and is currently involved in real-time log anomaly detection. His recent pet projects include a machine learning model project template implementing MLOps practices and an in-house developed matrix multiplication module for Python using Cython.

 

 

Assist Prof Dr. Mahmoud Emam | Image Generation | Best Researcher Award

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Assist Prof Dr. Mahmoud Emam : Leading Researcher in Image Generation

Hangzhou Dianzi University  at Image Generation, School of Computer Science and Technology, China

He 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.

🔬 He 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:

Dr. Mahmoud Emam is an Assistant Professor with a strong background in Computer Science and Technology. He earned his Ph.D. from the Research Institute of Information Countermeasure Techniques at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China, where he conducted research in his field. Prior to his doctoral studies, Dr. Emam completed his M.Sc. in Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he laid the foundation for his academic journey. He also underwent pre-courses for M.Sc. in Computer Science at the same institution. Dr. Emam’s academic journey began with a B.Sc. in Pure Mathematics and Computer Science from the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he developed a strong foundation in his field. His academic pursuits and research contributions reflect his dedication to advancing knowledge in Computer Science and Technology.

Research Interests:

Dr. Mahmoud Emam‘s research interests are centered around several key themes in computer science, including Digital Image Processing, Multimedia Security, Pattern Recognition, and Computer Vision. His expertise extends to the specialized area of Digital Image and Video Forensics, where he applies his knowledge to analyze and enhance the security of digital media. Dr. Emam’s work in these fields demonstrates his commitment to advancing the understanding and application of computer science principles, particularly in the context of digital media and information security.

Experience:

Dr. Mahmoud Emam has a diverse professional background spanning both teaching and research roles. His career began in 2007 when he served as a Teaching Assistant in computer science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he contributed to the education and development of students in the field of computer science. In 2013, he transitioned into a research-focused role as a Research Associate (Ph.D. Candidate) at the Research Institute of Information Countermeasure Techniques, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China. During this time, he was actively engaged in research activities related to his doctoral studies. Following the completion of his Ph.D., Dr. Emam assumed the role of Assistant Professor of Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he continued to contribute to both teaching and research. His dedication to academia and research led to his appointment as an Assistant Professor at the Machine Intelligence Department, Faculty of Artificial Intelligence, Menoufia University, Egypt, starting in January 2022. In November 2022, he took on the position of a Postdoctoral Research Fellow at the Shangyu Institute of Science and Engineering Co., Ltd., Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China, where he is involved in advanced research endeavors. Throughout his career, Dr. Emam has demonstrated a strong commitment to both academic instruction and cutting-edge research, positioning himself as a valuable contributor to the fields of computer science, artificial intelligence, and machine intelligence.

Publication:

Fabric defect detection based on saliency map and keypoints

Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features

Anti-pruning multi-watermarking for ownership proof of steganographic autoencoders

Fast Frequency Domain Screen-Shooting Watermarking Algorithm Based on ORB Feature Points

Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review

A Novel Hybridoma Cell Segmentation Method Based on Multi-Scale Feature Fusion and Dual Attention Network

A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing

Semi-Supervised Remote Sensing Image Semantic Segmentation Method Based on Deep Learning