Amos Langat | Statistics | Best Innovation Award

Published on by Global Scholar Awards

🌟Mr. Amos Langat, Statistics , Best Innovation Award🏆

Amos Langat at Pan African University Institute for Basic Sciences , Technology and Innovation,  Kenya

Mr. Amos Kipkorir Langat, a Kenyan national born on January 2nd, 1990, holds a Bachelor of Science in Economics and Mathematics from Kabarak University, a Master of Science in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology, and is currently pursuing a Ph.D. in Mathematics (Statistics Option) at the Pan African University Institute for Basic Sciences Technology and Innovation. He has served as a part-time lecturer at Maasai Mara University and Kabarak University, contributing to academia while actively engaging in research.

Author Metrics:

Google Scholar Profile

Mr. Langat has established a significant presence in the academic world through his research publications and contributions. He has authored numerous papers on various topics such as statistical modeling, epidemiology, and biostatistics. His works have been published in reputable journals and have garnered attention within the academic community.

Citations: Langat’s work has been cited 147 times since 2019, indicating the extent to which other researchers have referred to his publications in their own work.

h-index: With an h-index of 2 since 2019, Langat has published at least 2 papers that have each received at least 2 citations. This metric provides a measure of both the productivity and impact of his research output.

i10-index: The i10-index is a metric that measures the number of publications by an author that have at least 10 citations each. With an i10-index of 2 since 2019, Langat has published at least 2 papers that have each received at least 10 citations.

Education:

Langat’s academic journey began with his secondary education at Litein Boys High School, followed by his undergraduate studies at Kabarak University. He then pursued a Master’s degree at Jomo Kenyatta University of Agriculture and Technology. Currently, he is undertaking his Ph.D. at the Pan African University Institute for Basic Sciences Technology and Innovation, focusing on Mathematics with a specialization in Statistics.

Research Focus:

Mr. Langat’s research interests span across several domains including statistical modeling in infectious diseases, factor analysis on women giving birth at health facilities, application of calculus in project design and implementation, and modeling HIV risk exposure factors from a Bayesian perspective. His work aims to address crucial issues in public health and contribute to the advancement of statistical methodologies.

Professional Journey:

Langat’s professional journey includes roles as a part-time lecturer at Maasai Mara University and Kabarak University. He has also served as an international journal reviewer, contributing to the peer-review process. His commitment to academia is reflected in his participation in various workshops, conferences, and training sessions, where he continues to expand his knowledge and expertise.

Honors & Awards:

Langat has received prestigious awards and scholarships, including the Pan African University Scholarship for his Ph.D. studies and postgraduate scholarships from the Higher Education Loan Board for his Master’s degree. These accolades recognize his academic excellence and dedication to advancing knowledge in the field of statistics.

Publications Noted & Contributions:

Mr. Langat has made significant contributions to the field of statistics through his research publications. His work covers a wide range of topics including cancer epidemiology, infectious diseases, survival analysis, and modeling population dynamics. His publications have appeared in reputable journals, demonstrating the impact of his research on the scientific community.

“Modeling the Impact of Air Pollution and Meteorological Variables on COVID-19 Transmission in Western Cape, South Africa”

Authors: JK Mutinda, AK Langat

Journal: International Journal of Mathematics and Mathematical Sciences

Year: 2024

“Spatial Regression Modeling of Child Survival on the Distribution of Births and Deaths in Kenya Based on the Kenya Demographic and Health Survey (KDHS) 2022”

Authors: AKALNK Amos Kipkorir Langat, Michael Arthur Ofori, John Kamwele

Journal: Asian Journal of Probability and Statistics

Year: 2024

“Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance”

Authors: JK Mutinda, AK Langat

Journal: Asian Journal of Research in Computer Science

Year: 2024

“The burden, elimination efforts and implication for health policy of Gonorrhoea in Africa: an editorial”

Authors: MO Oduoye, AK Langat, H Cakwira, HO Egunsola, G Narayan, C Biamba

Journal: Annals of Medicine and Surgery

Year: 2024

“A Bayesian Nonparametric Modeling Approach to Settlement Patterns of Pastoralists Population in Kenya”

Authors: AK Langat, MA Ofori, MD Baranon, DB Biftu, SM Mwalili

Journal: Asian Journal of Probability and Statistics

Year: 2023

Research Timeline:

Langat’s research journey has evolved over the years, starting with his early publications during his Master’s program and continuing through his current Ph.D. studies. He has expanded his research focus, exploring new areas within statistics and epidemiology, and his contributions have become increasingly recognized within the academic community.

Collaborations and Projects:

Langat has been involved in various collaborative projects and initiatives aimed at addressing public health challenges and advancing statistical methodologies. He has participated in workshops, training sessions, and conferences, fostering collaborations with researchers from different institutions and contributing to interdisciplinary research efforts aimed at tackling complex societal issues.

Margherita Bernabei | Industrial Engineering | Innovator in Industrial Progress Award

Published on by Global Scholar Awards

🌟Mrs. Margherita Bernabei, Industrial Engineering, Innovator in Industrial Progress Award🏆

Margherita Bernabei, La Sapienza, Italy

Margherita Bernabei is a dedicated researcher and industrial engineer based in Rome, Italy. She holds a Ph.D. in Industrial and Management Engineering from the University of Rome “La Sapienza” with a focus on Digital Twin implementation in smart manufacturing environments. Margherita’s expertise lies in the intersection of Industry 4.0, Resilience Engineering, and Artificial Intelligence.

Author Metrics:

Margherita’s scholarly impact is evident through her author metrics, showcasing a comprehensive range of publications across leading journals and conferences. Her work demonstrates a keen interest in emerging technologies, manufacturing systems, and safety engineering.

Margherita Bernabei is affiliated with Sapienza Università di Roma in Rome, Italy. Her Scopus Profile. She holds an ORCID profile.

As of the latest available data, Margherita has an impressive academic impact with 38 citations from 33 documents. Her research contributions have resulted in 13 documents indexed on Scopus. The h-index, a measure of both productivity and citation impact, stands at 3.

Education:

Margherita earned her Master’s Degree in Management Engineering with a specialization in Logistics and Production Services, graduating with honors (110 cum laude/110) from the University of Rome “La Sapienza.” She previously completed her Bachelor’s Degree in Management Engineering with distinction.

Research Focus:

Her research endeavors revolve around the impact of digital transformation on organizational processes, particularly in manufacturing contexts. Margherita’s work delves into Adaptive Automation, Digital Supply Chain, and the application of Cyber-Physical Systems in the aerospace industry. She is passionate about leveraging technology, such as Virtual Reality and Machine Learning, to enhance safety, training, and organizational resilience.

Professional Journey:

Margherita has a diverse professional journey, including a fellowship in Digital Twin implementation, an internship at AGIC Innovation focusing on Machine Learning and Cognitive Tools, and active participation in various industry projects. Notably, she has contributed to initiatives like the “ESA Smart Manufacturing For Future Constellations” and “Digitalization of Linköping Production Line” at RUAG Space.

Honors & Awards:

Recognized for her outstanding leadership, Margherita received the “Outstanding Student Leadership Award” at the European Conference on Industrial Engineering & Operations Management in 2021 and 2022. Her commitment to research and innovation has been acknowledged by both academic and industry communities.

Publications Top Noted & Contributions:

Margherita’s prolific contributions span various journals and conferences. Notable publications include works on Industry 4.0 approaches to satellite production, warehouse resilience, and the application of Natural Language Processing in manufacturing. She actively engages in conferences worldwide, presenting on topics such as smart transformation, safety management, and the convergence of AI and Cyber Physical Systems.

Adaptive Automation: Status of Research and Future Challenges

  • Journal: Robotics and Computer-Integrated Manufacturing
  • Year: 2024-08
  • DOI: 10.1016/j.rcim.2024.102724
  • Contributors: Margherita Bernabei; Francesco Costantino

Students’ Use of Large Language Models in Engineering Education: A Case Study on Technology Acceptance, Perceptions, Efficacy, and Detection Chances

  • Journal: Computers and Education: Artificial Intelligence
  • Year: 2023
  • DOI: 10.1016/j.caeai.2023.100172
  • Contributors: Margherita Bernabei; Silvia Colabianchi; Andrea Falegnami; Francesco Costantino

Resilience Potentials for Health and Safety Management in Cobot Applications Using the Resilience Analysis Grid

  • Journal: Journal of Manufacturing Science and Engineering
  • Date: 2023-10-01
  • DOI: 10.1115/1.4062786
  • Contributors: Arie Adriaensen; Margherita Bernabei; Francesco Costantino; Andrea Falegnami; Sara Stabile; Riccardo Patriarca

Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach

  • Journal: Global Journal of Flexible Systems Management
  • Year: 2023-03
  • DOI: 10.1007/s40171-022-00328-7
  • Contributors: Margherita Bernabei; Marco Eugeni; Paolo Gaudenzi; Francesco Costantino

Chatbot for Training and Assisting Operators in Inspecting Containers in Seaports

  • Conference: Transportation Research Procedia
  • Year: 2022
  • DOI: 10.1016/j.trpro.2022.09.002
  • Contributors: Silvia Colabianchi; Margherita Bernabei; Francesco Costantino

Research Timeline:

Margherita’s research timeline reflects a continuous commitment to academic and industrial projects. From her initiation projects in 2022 to ongoing contributions in 2024, she maintains a dynamic engagement with diverse research topics, emphasizing the evolution of Industry 4.0 and organizational resilience.