Semen Gunjo | Statistics | Editorial Board member

Posted on by ScienceFather

Mr. Semen Gunjo | Statistics | Editorial Board member

Mr. Semen Gunjo at DMISS(Data management and Information Support Service), Ethiopia

👨‍🎓 Profile

SEMEN BEKELE GUNJO

EARLY ACADEMIC PURSUITS

Semen Bekele Gunjo’s academic journey began with a solid foundation in STATISTICS and ACCOUNTING. He earned his BSc in Statistics from Addis Ababa University (1998-2001) and a Master’s Degree in Statistics (2006-2008). He also completed a BA in Accounting at Rift Valley University (2016-2018) and a Master’s Degree in Economics (2013-2015).

PROFESSIONAL ENDEAVORS

With over 20 YEARS of experience, Semen has specialized in DATA QUALITY ANALYSIS and PROJECT MANAGEMENT across sectors such as EDUCATION, HEALTH, WATER, and AGRICULTURE. He has successfully led consultancy projects and served as a TEAM LEADER for various assignments, focusing on management information systems and statistical frameworks.

CONTRIBUTIONS AND RESEARCH FOCUS

Semen’s contributions include developing frameworks for effective DATA MANAGEMENT and ANALYSIS. His involvement in KEY INDICATOR VERIFICATION and DATA QUALITY ASSESSMENTS has significantly enhanced monitoring and evaluation practices. Currently, he is pursuing a PhD in DEVELOPMENTAL STUDIES with a focus on DEVELOPMENT AND ENVIRONMENT.

IMPACT AND INFLUENCE

Semen’s work has improved DATA QUALITY and management systems within Ethiopian sectors, leading to better decision-making processes. His leadership in consultancy roles has influenced POLICIES related to accountability and data integrity in governmental operations.

ACADEMIC CITATIONS

His academic contributions include various WORKING PAPERS and presentations, such as the seminar on GLASS CONTAINER PRODUCTION in Ethiopia (2023), highlighting his engagement in ACADEMIC DISCOURSE.

LEGACY AND FUTURE CONTRIBUTIONS

Semen aims to leave a legacy of enhanced DATA INTEGRITY and robust analytical frameworks. His ongoing research is set to provide insights into the relationship between DEVELOPMENT and ENVIRONMENTAL SUSTAINABILITY. He is committed to mentoring future professionals in data management and policy analysis.

📖  Top Noted Publications
Modeling the Economic Cost of Congestion in Addis Ababa City, Ethiopia
  • Authors: Gunjo, S.B., Guta, D.D., Damene, S.
    Journal: Environmental Systems Research
    Year: 2024
The Perception of Drivers and Passengers on the Socio-Economic Impacts of Traffic Congestion in Addis Ababa, Ethiopia
  • Authors: Gunjo, S.B., Guta, D.D., Damene, S.
    Journal: Urban, Planning and Transport Research
    Year: 2024

Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Posted on by ScienceFather

Prof Dr. Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Prof Dr. Jorge Duque at ISLA – Polytechnic Institute of Management and Technology, Portugal

👨‍🎓 Profiles

đź“š Education

Prof. Duque is currently pursuing a post-doctorate at the University of Trás-os-Montes and Alto Douro (UTAD). He earned his Ph.D. in Computer Science from UTAD (2013-2018), a Master’s in Information and Communication Technologies from ISLA (2008-2009), and a Bachelor’s in Information Systems and Multimedia Management from ISLA (2003-2007).

đź’» Areas of Expertise

His expertise spans Computer Science, specifically in Information Systems, Computer Engineering, and Data Science for Decision Support Analysis.

🛠️ Technical Skills

Prof. Duque possesses technical skills in Cisco Networking (CCNA1), programming with Visual Studio and SQL Server, and web technologies including Python, C#, .NET MVC, ASP.NET, and CSS. He is also proficient in Data Science techniques such as Machine Learning, Deep Learning, Big Data, and Data Mining.

🏢 Professional Experience

His career includes roles at AXA Insurance, CEA Consulting Services, LCA – IT, Inforporto Lda, and Geada & Babo, Lda. He served as an IT Trainer and Coordinator at the IEFP and was the Coordinator for Economic Affairs at the Municipality of BaiĂŁo before joining ISLA as a Professor and Researcher in 2018.

👨‍🏫 Leadership Roles

Prof. Duque has held several leadership positions, including Coordinator of the Postgraduate Program in Analytics and Business Data Science, Coordinator of the Bachelor’s in Computer Science for E-commerce, and Chair of the Pedagogical Council at the School of Technology.

đź“… International Conference Participation

He has actively participated in international conferences such as iSCSI, where he served as Workshop Chair and Reviewer. He has also been involved with CENTERIS and ICITS, reviewing papers for various sessions.

đź“– Teaching Experience

Prof. Duque has been an Adjunct Professor at ISLA since 2018, teaching courses in Computer Science and Management, and has served as an Assistant Professor at LusĂłfona University since 2021.

🧑‍🏫 Professional Development

His ongoing professional development includes advanced training in Python for Data Science and courses on developing pedagogical competencies for distance education.

📖  Top Noted Publications
Data Mining for Knowledge Management
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2024
Data Science with Data Mining and Machine Learning: A Design Science Research Approach
  • Author: Duque, J., Godinho, A., Moreira, J., Vasconcelos, J.
    Journal: Procedia Computer Science
    Year: 2024
Blockchain Technologies: A Scrutiny into Hyperledger Fabric for Higher Educational Institutions
  • Author: Dias, P., Gonçalves, H., Silva, F., Martins, J., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2024
Business Intelligence and the Importance of Data Processing
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
The Importance of Big Data and IoT in Smart Cities
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
Data Mining Applied to Knowledge Management
  • Author: Duque, J., Silva, F., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2023
The IoT to Smart Cities: A Design Science Research Approach
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2023

Snezhana Abarzhi | Data Science | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Snezhana Abarzhi | Data Science | Best Researcher Award

Prof Dr. Snezhana Abarzhi at University of Western Australia, United States

👨‍🎓 Profile

Summary 🌟

Prof. Dr. Snezhana Abarzhi is a prominent researcher in Theoretical and Applied Physics, with a focus on the dynamics of complex systems. Her pioneering work addresses fluid instabilities and mixing, making significant contributions to scientific computing and applied mathematics.

Education 🎓

She earned her PhD in Mathematics & Physics in 1994 from the Landau Institute for Theoretical Physics and the Kapitza Institute for Physical Problems in Russia. Prior to that, she completed her MS in Applied Mathematics & Physics at the Moscow Institute for Physics & Technology in 1990, and obtained her BS in Applied Mathematics & Physics as well as Molecular Biology in 1987 from the same institution.

Professional Experience đź’Ľ

Since 2016, Prof. Abarzhi has served as Professor and Chair of Applied Mathematics at the University of Western Australia. She has held prestigious positions, including Guest Professor at Caltech and Visiting Professor at Stanford University. Her previous roles include professorships at Carnegie Mellon University and the University of Chicago, among other leading institutions worldwide.

Research Interests 🔍

Her research interests span the dynamics of plasmas, fluids, and materials, with expertise in theoretical analysis of complex systems, including far-from-equilibrium and non-linear dynamics. She has made notable contributions to understanding fluid instabilities, interface dynamics, and mixing processes.

📖  Top Noted Publications

On kinematic viscosity, scaling laws and spectral shapes in Rayleigh-Taylor mixing plasma experiments

Author: Snezhana I. Abarzhi; Kurt C. Williams
Journal: Physics Letters A
Year: 2024

Data-Based Kinematic Viscosity and Rayleigh–Taylor Mixing Attributes in High-Energy Density Plasmas

Author: Snezhana I. Abarzhi; Kurt C. Williams
Journal: Atoms
Year: 2024

Interlinking Rayleigh–Taylor/Richtmyer–Meshkov interfacial mixing with variable acceleration and canonical Kolmogorov turbulence

Author: Snezhana I. Abarzhi
Journal: Physics of Fluids
Year: 2024

Perspective: group theory analysis and special self-similarity classes in Rayleigh–Taylor and Richtmyer–Meshkov interfacial mixing with variable accelerations

Author: Snezhana I. Abarzhi
Journal: Reviews of Modern Plasma Physics
Year: 2024

An analysis of the buoyancy and drag parameters in Rayleigh-Taylor dynamics

Author: Des Hill; Snezhana Abarzhi
Journal: Mathematical Modelling of Natural Phenomena
Year: 2023

Rafid Mostafiz | Medical data analysis | Best Researcher Award

Posted on by ScienceFather

Mr. Rafid Mostafiz,Medical data analysis
, Best Researcher Award

Rafid Mostafiz at Noakhali Science and Technology University Bangladesh

Professional Profile:

Scopus Profile
Orcid Profile
Google Scholar Profile
Research Gate

Summary:

Mr. Rafid Mostafiz is a dedicated lecturer at the Institute of Information Technology, Noakhali Science and Technology University. His academic journey is marked by a strong foundation in computer science and engineering, focusing on deep learning, machine learning, computer vision, and data science. With a robust background in both teaching and research, he has contributed significantly to the fields of digital image processing, artificial intelligence, and distributed computing.

👩‍🎓Education:

  • Master of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 24, 2018 – September 28, 2020
    • CGPA: 3.88/4.00
    • Thesis: “Automatic Lesions Detection in Liver Ultrasound using Super Resolution and Deep Feature Fusion”
  • Bachelor of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 29, 2012 – July 30, 2017
    • CGPA: 3.58/4.00
    • Thesis: “Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation”

Professional Experience:

Mr. Rafid Mostafiz has built a robust career in academia, blending teaching and research with a focus on cutting-edge technologies. Currently, he serves as a Lecturer at the Institute of Information Technology, Noakhali Science and Technology University, where he has been since January 2022. In this role, he teaches courses such as Theory of Computation, Web Technology, Computer Architecture, and Distributed Computing, while also engaging in research on data science, machine learning, information theory, and security.

Prior to his current position, Rafid was an Assistant Professor at the Department of Computer Science & Engineering at Dhaka International University from January 2021 to January 2022. There, he taught Algorithm Design and Analysis, Data Structures, Object-Oriented Programming with JAVA, Digital Image Processing, and Artificial Intelligence. His research during this period focused on artificial intelligence, computer and robotics vision, neural networks and machine learning, Internet of Things, and blockchain technologies.

Research Interest :

Mr. Rafid Mostafiz’s research interests lie at the intersection of advanced computational techniques and real-world applications. He is deeply engaged in the fields of deep learning and machine learning, where he explores the development of intelligent systems capable of performing complex tasks. His work in computer vision focuses on enhancing image and video analysis through innovative algorithms and models. Rafid is also passionate about data science, utilizing statistical methods and computational tools to extract meaningful insights from large datasets. His research extends to the application of these technologies in biomedical imaging, where he aims to improve diagnostic accuracy and patient outcomes through advanced image processing techniques.

Publication Top Noted: