Vaishnavee Rathod | Analysis | Best Researcher Award

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Ms. Vaishnavee Rathod | Analysis | Best Researcher Award

Research Scholar, Department of Computer Science Engineering SVNIT SURAT INDIA India

Vaishnavee Vijay Rathod is a Ph.D. candidate at SVNIT Surat, focusing on remote sensing and deep learning. She has earned her B.E., M.Tech., and is currently pursuing her Ph.D., with a specialized focus on satellite imaging, machine learning, and image processing. Vaishnavee has published multiple papers in renowned journals and conferences, contributing significantly to the fields of medical image analysis, remote sensing, and AI-based systems. She has also received recognition for her work, including the Best Paper Award at an international conference in 2020. Her innovative research on vehicle detection using computer vision and AI has gained attention in smart city development.

 

Publication Profile

Scopus Scholar

🎓 Education

Vaishnavee completed her B.E. in Electronics and Telecommunication in 2018 from Thakur College of Engineering and her M.Tech. in Electronics and Digital Image Processing from GHRIET Nagpur in 2020. She is currently pursuing a Ph.D. in Satellite Imaging and Deep Learning at SVNIT Surat, specializing in deep learning-driven satellite image classification. Throughout her academic journey, she has achieved distinction and published several research papers in prominent conferences and journals.

💼 Experience

Vaishnavee has significant experience as a research scholar in deep learning and image processing. Her Ph.D. research includes the development of models for satellite image analysis and AI-based vehicle detection systems using UAV data. She has contributed to over 10 publications, including SCI-indexed journals and prestigious conferences. Additionally, Vaishnavee has been a recipient of several project funding awards, including SSIP 2.0 funding for her “RoadMitra” AI-based system project, showcasing her expertise in smart city technologies.

🏆 Awards & Honors

Vaishnavee has been recognized for her research contributions, including the “Best Paper Award” at the International Conference on Engineering Systems Design and Optimization in 2020. She has received various honors, including funding under SSIP 2.0 for her smart city project “RoadMitra,” aimed at detecting road issues using UAVs. Additionally, she has won awards for her research excellence and has received numerous accolades for her participation in international conferences and workshops.

🔬 Research Focus

Vaishnavee’s research focuses on the intersection of satellite imaging, remote sensing, and deep learning. She works on developing deep learning models for efficient satellite image classification and vehicle detection systems using UAV technology. Her work also extends to image enhancement, biomedical image processing, and AI applications in smart city infrastructure. Vaishnavee’s research contributes to the development of innovative solutions for urban challenges, including road crack detection, traffic analysis, and the enhancement of healthcare technologies using AI.

Publication Top Notes

  • Title: Deep learning-driven UAV vision for automated road crack detection and classification
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Journal: Nondestructive Testing and Evaluation (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
    • Authors: Rathod, V., Rana, D., Mehta, R.
    • Journal: Journal of the Indian Society of Remote Sensing (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: A computer vision approach to vehicle detection, classification, and tracking from UAV data for Indian traffic analysis
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G., Nath, V.
    • Journal: IETE Journal of Research (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: An Extensive Review of Deep Learning Driven Remote Sensing Image Classification Models
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Conference: Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2022)
    • Citations: 4

 

Petros Barmpas | Statistical Analysis | Best Researcher Award

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Mr. Petros Barmpas | Statistical Analysis | Best Researcher Award 

Mr at University of The, Greece

Petros Barmpas is a dedicated researcher with a strong background in computer science and biomedical informatics. He has been advancing his academic journey at the University of Thessaly since 2020, following his graduation from the University of Patras with a degree in Computer Engineering and Informatics in 2019. His career is marked by an impressive series of publications and contributions to significant projects in the fields of machine learning, clustering methodologies, and the study of healthcare informatics. Petros is married and a proud father, balancing his professional and personal life with dedication and resilience. His contributions in AI and data analysis have cemented his reputation in both academic and practical applications of computational science.

Profile

Scopus

Education 🎓

Petros Barmpas embarked on his academic career by completing high school in Kozani from 2010 to 2013. He then pursued his Bachelor’s degree in Computer Engineering and Informatics at the University of Patras, graduating in 2019. Currently, Petros is enrolled at the University of Thessaly, where he has been deepening his expertise in Computer Science and Biomedical Informatics since 2020. His educational path has equipped him with extensive knowledge and skills in computational algorithms, data analysis, and advanced informatics, supporting his impactful research and publications.

Experience 🧑‍🏫

Since the onset of his academic pursuits, Petros Barmpas has engaged in various research initiatives, focusing on the practical application of AI and machine learning. His participation in the ATHLOS project exemplifies his commitment to large-scale data analysis and unsupervised learning. Throughout his time at the University of Thessaly and during collaborations with peers, he has demonstrated exceptional expertise in hierarchical clustering, ensemble regressors, and hyperdimensional computing approaches. Petros’ professional journey showcases a consistent dedication to solving complex computational problems and advancing methodologies in biomedical informatics.

Awards and Honors 🏆

Petros Barmpas has earned recognition through numerous high-impact publications in prestigious conferences and journals. His co-authored works in IEEE Congresses and journals like the Springer Journal Health Information Science and Systems underscore his influential presence in the research community. The breadth of his collaborative work reflects the trust and respect he commands among fellow researchers, showcasing his commitment to advancing scientific understanding in AI applications and public health data analysis.

Research Focus 🔍

Petros Barmpas’ research primarily explores innovative approaches to machine learning and data clustering. His interests lie in hyperdimensional computing, hierarchical clustering ensemble methods, and the development of predictive models for healthcare studies. He has applied these techniques to diverse areas, including opioid management during the pandemic and socio-demographic analysis in large-scale studies. Through collaborations and independent work, Petros has contributed to refining algorithms that enhance prediction power and adaptability, positioning his work at the intersection of AI and public health informatics.

Conclusion📝

Petros Barmpas is a distinguished researcher with significant accomplishments in computer science and biomedical informatics. His extensive publication record, innovative contributions to data clustering and health informatics, and strong collaborative efforts underscore his suitability for the Best Researcher Award. Addressing areas such as publishing in higher-impact journals and increasing international engagement could further augment his candidacy. Overall, his academic achievements, commitment to interdisciplinary research, and consistent output make him a deserving nominee for recognition.

Publications 📚

  1. Conference Paper: Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification
    Year: 2024
    Authors: Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 – Proceedings

 

  1. Conference Paper: HCER: Hierarchical Clustering-Ensemble Regressor
    Year: 2024
    Authors: Barmpas, P., Anagnostou, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Communications in Computer and Information Science, 2141 CCIS, pp. 369–378

 

  1. Article (Open access): The Development and Validation of the Pandemic Medication-Assisted Treatment Questionnaire for the Assessment of Pandemic Crises Impact on Medication Management and Administration for Patients with Opioid Use Disorders
    Year: 2023
    Authors: Leventelis, C., Katsouli, A., Stavropoulos, V., Veskoukis, A.S., Tsironi, M.
    Source: NAD Nordic Studies on Alcohol and Drugs, 40(1), pp. 76–94

 

  1. Conference Paper: Neural Networks Voting for Projection Based Ensemble Classifiers
    Year: 2023
    Authors: Anagnostou, P., Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Proceedings of the 2023 IEEE International Conference on Big Data, BigData 2023, pp. 4567–4574

 

  1. Article (Open access): A Divisive Hierarchical Clustering Methodology for Enhancing the Ensemble Prediction Power in Large Scale Population Studies: The ATHLOS Project
    Year: 2022
    Authors: Barmpas, P., Tasoulis, S., Vrahatis, A.G., Plagianakos, V.P., Panagiotakos, D.
    Source: Health Information Science and Systems, 10(1), 6

Gizachew Kefelew Hailu | Mathematical Modeling | Best Faculty Award

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Mr. Gizachew Kefelew Hailu | Virtual Reality | Young Scientist Award

Mr at Debre Berhan University, Ethiopia

I am currently employed as an Assistant Professor in the Mathematics Department at Debre Berhan University, where I teach various undergraduate and postgraduate courses, including mathematical modeling, differential equations, and applied mathematics. My role includes mentoring and providing academic support to students, guiding their research and projects. I have also been actively involved in research, community service, and holding roles such as Head of the Department and Dean of the College.

Publication Profile

Scholar

🎓 Education and Training

Master of Science in Mathematics Addis Ababa University 12/09/2007 – 24/07/2009  Addis Ababa Final Grade: 3.68 Courses: Real Analysis, Algebra, Topology, Functional Analysis, Differential Equations, Selected Topics in Differential Equations. Bachelor of Degree in Civil Engineering Mekelle University 14/09/2011 – 24/02/2016  Addis Ababa. Final Grade: 3.69 Courses: Engineering Mechanics, Strength of Materials, Theory of Structures, Numerical Methods, Soil Mechanics, Engineering Hydrology, Highway Engineering, Foundation Engineering, Construction Materials, Water Supply and Urban Drainage

🏢 Work Experience

Dean of the College of Natural and Computational Science Debre Berhan University 07/12/2019 – Current  Debre Berhan  Responsibilities: Academic Leadership, Community Engagement, Research and Innovation, Curriculum Development, Budget Management, Student Support, Strategic Planning, Communication and Advocacy, Accreditation and Compliance. Assistant ProfessorDebre Berhan University 08/11/2016 – Current Debre Berhan Responsibilities: Teaching, Research, Mentorship. Head of Department of Mathematics Debre Berhan University 17/11/2017 – 06/12/2019  Debre Berhan  Responsibilities: Leadership, Department Operations, Faculty Development, Curriculum Oversight, Strategic Planning

🌐 Networks & Memberships

Ethiopian Mathematics Professional Association 12/05/2018 – Current Promoting and engaging in enhancing the quality of mathematics, mathematics education, and research

🏅 Honours and Awards

ACE II MSc in Railway Engineering Scholarship Addis Ababa University 13/04/2014. M.Sc. in Mathematics Addis Ababa University  12/10/2007

 

Publications:

  • Title: Improving passengers’ attitudes toward safety and unreliable train operations: analysis of a mathematical model of fractional order
    Authors: G.K. Hailu, S.W. Teklu
    Journal: Frontiers in Applied Mathematics and Statistics
    Year: 2024
    Volume: 10
    Article: 1290494
    Citations: 2
  • Title: Investigation into hate speech dissemination dynamics in a community using fractional order modeling approach
    Authors: G.K. Hailu, S.W. Teklu
    Journal: Research in Mathematics
    Year: 2024
    Volume: 11(1)
    Article: 2386748
  • Title: Modeling and Analysis of Hate Speech Propagation in a Community using Fractional Order Derivatives
    Authors: G.K. Hailu, S.W. Teklu
    Year: 2024
  • Title: Teachers’ Perception on Integrating Problems in the Teaching of Mathematics
    Authors: B.B. Hailu, Gizachew Kefelew, Teferi Getachew, Hailemicheal Lemma, Endris Yimam
    Journal: Ethiopian Journal of Indigenous Knowledge and Applied Sciences
    Year: 2023
    Volume: 1(1)
    Pages: 111-128
  • Title: Biodiversity Strategy Improved in Ethiopia by Using Optimal Control System
    Authors: M.C.W. A.N. Mohamad, Niguessie Dedefi Waritu, Gizachew Kefelew Hailu
    Journal: International Journal of Sciences: Basic and Applied Research
    Year: 2019
  • Title: The Implication of Mathematical Modeling in Teaching
    Authors: G. Kefelew, G. Tewdros
    Journal: Far East Journal of Mathematical Education
    Year: 2014
    Volume: 12(2)
    Pages: 187

 

Elsadig Musa Ahmed | Econometric | Best Researcher Award

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 Prof Dr. Elsadig Musa Ahmed| Tourism Management | Best Researcher Award

👨‍🏫Profile Summary

A seasoned professional with extensive experience in academia, specializing in Development Economics. Holding the prestigious position of Professor at Multimedia University, Malaysia since 2015, I have excelled in teaching undergraduate and postgraduate Economics and Business subjects. My expertise extends to supervising research projects at various levels, including PhD, DBA, MPhil, and MBA. With a Ph.D. in Development Economics and a rich background in teaching, research, and administrative roles, I am committed to fostering knowledge, guiding research, and contributing to the academic community. Additionally, my leadership roles in university committees and extensive teaching experience underscore my dedication to education and scholarship.

🌐 Professional Profiles

 

👨‍🎓 Professional Experience

Position: Professor
Institute: Multimedia University, Melaka, Malaysia
Duration: November 1st, 2015 – Present
Responsibilities:

  • Teaching Economics and Business subjects at undergraduate and postgraduate levels
  • Supervising PhD, DBA, MPhil, and MBA final year projects

Position: Associate Professor
Institute: Multimedia University, Melaka, Malaysia
Duration: October 1st, 2010 – October 31st, 2015
Responsibilities:

  • Teaching Economics and Business subjects at undergraduate and postgraduate levels
  • Supervising PhD, DBA, MPhil, and MBA final year projects

Position: Senior Lecturer
Institute: Multimedia University, Melaka, Malaysia
Duration: June 1st, 2008 – September 30th, 2010
Responsibilities:

  • Teaching Economics and Business subjects at undergraduate and postgraduate levels
  • Supervising PhD, DBA, MPhil, and MBA final year projects

Position: Lecturer
Institute: Multimedia University, Melaka, Malaysia
Duration: September 27th, 2004 – May 31st, 2008
Responsibilities:

  • Teaching Economics and Business subjects at undergraduate and postgraduate levels
  • Supervising PhD, DBA, MPhil, and MBA final year projects

Area of Specialization: Development Economics

Research Interests:

  • Development economics
  • Productivity analysis (technological progress and technology transfer)
  • Digital economy
  • Knowledge-based economy
  • Productivity and environment (green productivity)
  • Economic growth and environment
  • Economics and technology management
  • Tourism and economic growth
  • Microfinance
  • Bioeconomy

🎓 Education

Ph.D. in Development Economics University: Universiti Putra Malaysia Completion: February 2005 Thesis Title: “Impact of Air and water Pollutant emissions on Malaysia’s Manufacturing Sector Productivity Growth” M.Sc. in Development Economics University: Universiti Putra Malaysia Completion: June 1998 Thesis Title: “Productivity and Performance of Malaysian Food Manufacturing Industry” B.Sc. in Agricultural Economics University: University of Alazhar, Cairo, Egypt Completion: June 1992

👨‍💼 Administrative Duties

Senate member of Multimedia University (MMU), MMU research and ethics, Board of Postgraduate and Students’ Disciplinary Committee Member (July 2015 – June 2019), Coordinator for Post Graduate programs (March 2006 – March 2014), Chairperson of Center for Globalization and Sustainability Research (March 2006 – March 2014), Faculty of Business, Multimedia University (MMU) research and development Committee, Panel of Expert for research grants, Member of the Institute of Postgraduate Studies (IPS) Coordination Committee (ICC) MMU, Other Working Experience, Research Assistant (RA) from February 1998 to August 1998, Store Keeper, Kenana Sugar Company Limited, Sudan during 1985-1988

📚 Teaching

Postgraduate Subjects: Advanced Research Methodology Entrepreneurship and Commercialization Economics for Managers (MBA) Undergraduate Subjects: International Economic History, International Political Economy, International Economics East Asian Economies,, Economics of Integration and Regionalism, Macroeconomics, Microeconomics, Monetary Economics, Knowledge Economy, Malaysian and the Knowledge Economy, Research Methodology, Basic Economics, Management, and Accounting (for Engineering and IT Majors),Teaching Evaluation: Teaching evaluation for the subject taught in MMU averaged between 4 to 5 out of 5.

🎓 Postdoctoral Supervision

Completed PhD (Main Supervisor): List of completed PhD students provided. MPhil (Main Supervisor): List of completed MPhil students provided. PhD (Co Supervisor): List of completed PhD students provided. MPhil (Co Supervisor): List of completed MPhil students provided. In Progress (PhD Main Supervisor): List of PhD students in progress provided. In Progress (MPhil Main Supervisor): List of MPhil students in progress provided.

📚Top Noted Publication

Title: Are the FDI Inflow Spillover Effects on Malaysia’s Economic Growth Input Driven?

  • Author: EM Ahmed
  • Journal: Economic Modelling

Title: The Impact of CO2 on Economic Growth in ASEAN 8
Authors: H Borhan, EM Ahmed, M Hitam
Journal: Procedia-Social and Behavioral Sciences
Year: 2012

 

Title: The Impact of ICT on East Asian Economic Growth: Panel Estimation Approach
Authors: EM Ahmed, R Ridzuan
Journal: Journal of the Knowledge Economy
Year: 2013

 

Title: Green TFP Intensity Impact on Sustainable East Asian Productivity Growth
Author: EM Ahmed
Journal: Economic Analysis & Policy
Year: 2012

 

Title: Factors Influencing Sudanese Microfinance Intention to Adopt Mobile Banking
Authors: A Ammar, EM Ahmed
Journal: Cogent Business & Management
Year: 2016

 

Title: Modelling Information and Communications Technology Cyber Security Externalities Spillover Effects on Sustainable Economic Growth
Author: EM Ahmed
Journal: Journal of the Knowledge Economy
Year: 2021