Adriano Marcos Rodrigues Figueiredo | Econometrics | Best Scholar Award

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Prof Dr. Adriano Marcos Rodrigues Figueiredo | Econometrics | Best Scholar Award

Professor at Federal University of Mato Grosso do Sul, Brazil.

Adriano Marcos Rodrigues Figueiredo is a Full Professor of Economics at the Federal University of Southern Mato Grosso (UFMS). He holds a Ph.D. in Applied Economics from Universidade Federal de Viçosa, with a collaborative period at UC Riverside. He also has a Bachelor’s degree in Civil Engineering from Universidade Federal de Mato Grosso do Sul and a Bachelor’s degree in Economics from Universidade CatĂłlica Dom Bosco. His research interests include applied economics, agricultural issues, public policies, regional economics, general equilibrium modeling, spatial econometrics, economic forecasts, and regional development. He is actively involved in teaching and has experience in administration and consulting roles.

Professional Profiles:

Education:

Adriano Marcos Rodrigues Figueiredo holds a Ph.D. in Applied Economics from Universidade Federal de Viçosa, with a collaborative period at UC Riverside. He completed his undergraduate studies in Civil Engineering at Universidade Federal de Mato Grosso do Sul and Economics at Universidade Católica Dom Bosco. His Ph.D. research focused on regional development, spatial econometrics, and economic forecasts. Adriano has also undertaken complementary education, including a course in the fundamentals and practices of distance education, which enhances his teaching abilities.

Research Experience:

Adriano Marcos Rodrigues Figueiredo has extensive research experience, particularly in the field of economics. His work spans various areas, including regional economics, agricultural issues, public policies, and general equilibrium modeling. He has been involved in projects such as “Complexidade econĂ´mica, inovações, bioeconomia e polĂ­ticas pĂşblicas para o desenvolvimento regional” and “Construção do ObservatĂłrio do Cooperativismo e da plataforma de avaliação de Economia Solidária,” which demonstrate his commitment to advancing knowledge in these areas. His research projects aim to contribute to the understanding and improvement of regional development strategies, especially in the context of Brazil.

Research Interest:

Adriano Marcos Rodrigues Figueiredo’s research interests lie in several areas of economics, with a focus on applied economics. He is particularly interested in regional economics, agricultural issues, public policies, and general equilibrium modeling. His research aims to address key challenges and opportunities in these areas, contributing to the development of effective policies and strategies for regional development.

Teaching  Experience:

Adriano Marcos Rodrigues Figueiredo has a strong background in teaching across various fields. He has taught courses in economics, administration, accounting, and tourism at both undergraduate and postgraduate levels. His teaching portfolio includes subjects such as regional and urban economics, econometrics, economic development, and statistical analysis applied to various fields. His approach to teaching involves incorporating real-world examples and practical applications to enhance student learning and understanding.

Training Experience:

Adriano Marcos Rodrigues Figueiredo has engaged in several training experiences throughout his career. He has completed courses in diverse areas such as distance education, sustainable development, virtual environments for learning, and railway integration in Latin America. These training experiences have equipped him with a broad skill set and knowledge base, enhancing his abilities as an educator and researcher.

Award and Honors:

Adriano Marcos Rodrigues Figueiredo has received several awards and honors for his contributions to the field of economics and academia. His notable awards include the Best Thesis Award from the Middle East Technical University Graduate School of Natural and Applied Sciences in Physics. These awards recognize his exceptional research and academic achievements, highlighting his dedication and excellence in his field.

Publications:

  1. Amazonian forest loss and the long reach of China’s influence
    • Authors: PM Fearnside, AMR Figueiredo, SCM Bonjour
    • Journal: Environment, Development and Sustainability
    • Citations: 88
    • Year: 2013
  2. China’s influence on deforestation in Brazilian Amazonia: A growing force in the state of Mato Grosso
    • Authors: PM Fearnside, AMR Figueiredo
    • Journal: China and sustainable development in Latin America: The social and …
    • Citations: 57
    • Year: 2015
  3. Impactos da integração econômica nas commodities da economia brasileira e da União Européia
    • Authors: AMR Figueiredo, AV Ferreira, EC Teixeira
    • Journal: Revista Brasileira de Economia
    • Citations: 30
    • Year: 2001
  4. Explicando as diferenças na produtividade agrícola no Brasil
    • Authors: ARB Moreira, SM Helfand, AMR Figueiredo
    • Institution: Instituto de Pesquisa EconĂ´mica Aplicada (Ipea)
    • Citations: 29
    • Year: 2007
  5. Mudanças cambiais e o efeito dos fatores de crescimento das receitas de exportações brasileiras de soja
    • Authors: SSS Souza, JA Lamera, SCM Bonjour, AMR Figueiredo
    • Journal: Revista de Economia e AgronegĂłcio/Brazilian Review of Economics and …
    • Citations: 28
    • Year: 2007
  6. Explicando as diferenças de pobreza entre produtores agrícolas no Brasil: simulações contrafactuais com o censo agropecuário 1995-96
    • Authors: SM Helfand, ARB Moreira, AMR Figueiredo
    • Journal: Revista de Economia e Sociologia Rural
    • Citations: 24
    • Year: 2011
  7. DimensĂŁo do PIB do agronegĂłcio na economia de Mato Grosso
    • Authors: APP Do Nascimento, AMR Figueiredo, PR Miranda
    • Journal: Ensaios FEE
    • Citations: 18
    • Year: 2018
  8. A pecuária de corte no estado de Mato Grosso
    • Authors: SCM Bonjour, AMR Figueiredo, JMC Marta
    • Year: 2008
    • Citations: 18
  9. Matriz insumo-produto de Mato Grosso 2007: construção e análise dos principais indicadores econômicos
    • Authors: MG de Figueiredo, JJM Guilhoto, SC de Moura Bonjour, ER Detomini, …
    • Journal: Revista de Estudos Sociais
    • Citations: 16
    • Year: 2011
  10. Metals in the soil of urban cemeteries in Carazinho (South Brazil) in view of the increase in deaths from COVID-19: projects for cemeteries to mitigate environmental impacts
    • Authors: A Neckel, C Korcelski, LFO Silva, HA Kujawa, BW Bodah, …
    • Journal: Environment, Development and Sustainability
    • Citations: 15
    • Year: 2021

Dr. Abdelilah BENOUAJJIT | Validation | Best Researcher Award

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Dr. Abdelilah BENOUAJJIT | Validation | Best Researcher Award

Primary Education Teacher at Validation, Faculty of Medicine, Pharmacy and Dentistry, Israel

Abdelilah BENOUAJJIT is a professional with a background in Biology, currently pursuing a Doctorate at the Faculty of Medicine, Pharmacy, and Dental Medicine, focusing on the prevalence of Dementia/Alzheimer’s in Morocco. With a Master’s degree in Integrative Biology, Pathophysiology, and Health, and a Bachelor’s in Animal Biology, Abdelilah has a strong academic foundation in the field. He has professional experience as a primary school teacher and has completed training in professional teaching at CRMEF KHEMISSET. Abdelilah has also conducted research and published articles in reputable journals such as SLEEP EPIDEMIOLOGY and SLEEP MEDICINE, demonstrating his commitment to advancing knowledge in his field. He possesses skills in Microsoft Office and SPSS and is fluent in Arabic, French, and English.

Professional Profiles:

đź“š Education:

  • 2022-2024: Second year of Doctorate at the Faculty of Medicine, Pharmacy, and Dental Medicine. Topic: “Prevalence of Dementia/Alzheimer’s in Morocco.”
  • 2020-2021: Master’s in Biology. Title: “Integrative Biology, Pathophysiology, and Health.”
  • 2016-2017: Bachelor’s in Animal Biology.
  • 2011-2012: High School Diploma in Life and Earth Sciences.

đź’Ľ Professional Experience:

  • 2023-2024: Publication of a scientific article in the journal SLEEP EPIDEMIOLOGY titled “Moroccan validation of the dysfunctional beliefs and attitudes about sleep (DBAS16) scale.” doi: Link
  • 2022-2024: Primary school teacher at S/S. Ouled zaid.
  • 2021-2022: Professional teaching training at CRMEF KHEMISSET.
  • 2020-2021: Publication of a scientific article in the journal SLEEP MEDICINE titled “Sleep quality and mental health in the context of the COVID-19 pandemic and lockdown in Morocco.” doi: Link
  • 2019-2020: Internship and training in cerebral electrophysiology at Hassan 2 Hospital Center.

đź’» Skills:

  • Microsoft Office (Word, Excel, PowerPoint)
  • SPSS (Statistical Package for the Social Sciences)

 

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.

đź“š 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.

đź’» 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 JournĂ©e 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 JournĂ©e de Statistique (Bruxelles, Belgium).

Publications:

J. Peyhardi, C. Trottier, Y. GuĂ©don. “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. GuĂ©don, 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. GuĂ©don. “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.