Vaishnavee Rathod | Analysis | Best Researcher Award

Posted on by ScienceFather

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

Posted on by ScienceFather

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

Posted on by ScienceFather

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

 

Stephen Mutie | Social Sciences | Best Researcher Award

Posted on by ScienceFather

 Dr. Stephen Mutie | Social Sciences | Best Researcher Award 

Dr. Stephen Mutie is a tenured lecturer at Kenyatta University, Kenya, specializing in African Literature, Gender and Subaltern Studies, and Social Media Activism. He earned his PhD in Literature from Laikipia University and has a robust research background, including a Post-Doctoral fellowship at Bayreuth University, Germany. Dr. Mutie has extensive teaching experience, curriculum development, and student mentorship. He has also served in significant research roles, including as a Senior Research Associate at the Institute of African Women in Law. His work is published in esteemed journals, reflecting his contributions to literary and cultural studies.

Profile

Scholar

Education 🎓

Post-Doc (Sept 2019 – July 2020) Bayreuth Academy of Advanced African Studies; African Multiple Cluster of Excellence, Bayreuth University, Germany. PhD in Literature (2015 – 2018) Laikipia University, Kenya. Master of Arts in Literature (2010 – 2015) Egerton University, Kenya. B.Ed. Arts (English and Literature, First Class Honours) (2005 – 2009) Egerton University, Kenya

Research Interests 🔍

  • Gender and Subaltern Studies
  • Language and Cultural Studies
  • African Literature
  • Politics, Representation, and Social Media Activism

Teaching Experience 🧑‍🏫

Kenyatta University, Kenya Tenured Lecturer (April 2019 – Present)l, Developing and implementing teaching programmes/reviewing the curriculum at the department, Internal examiner for postgraduate proposal and thesis defenses, Coordination and teaching courses such as Literary Theory, Gender Studies, and African Literature, Career advising and mentorship for students taking B.Ed. English and Literature, Organizing seminars and conferences for knowledge sharing in the department, Managing digital and virtual learning for the department, Tutorial Fellow/Assistant Lecturer (Oct 2017 – April 2019), Coordination of Literature programs at Kenyatta University, Teaching courses such as Literary Theory, Gender Studies, and African Literature. Teacher Service Commission, Kenya English Language and English Literature Teacher (Sept 2012 – Jan 2016)

Other Professional and Work Experience 💼

Senior Research Associate (SRA) (July 2022 – Dec 2022) The Institute of African Women in Law, Developing research objectives, projects, and proposals, Acting as principal investigator on research projects, Conducting individual or collaborative research projects, Extending, transforming, and applying knowledge from scholarship to research and training projects, Writing or contributing to publications or disseminating research findings using various media. Project Manager/Country Consultant (Dec 2021 – June 2022) The Institute of African Women in Law, Title of Project: African Women in Law and Leadership, Reviewer and Editor (Dec 2020 – Dec 2021) UNDP Kenya for the FOLLAP Project (Faculty of Law Legal Aid Project at Egerton University, Kenya)

Awards and Honours 🏆

Excellence Award (2020) Bayreuth Multiple Cluster of Excellence: Bayreuth Academy of Advanced African Studies, Bayreuth University. Government of Kenya Scholarship Award (2016, 2010) Through Higher Education Loans Board. First Class Honours (2009)
Bachelor of Education, Egerton University, Kenya

Publications Top Notes 📝

  • Jomo Kenyatta’s Speeches and the Construction of Identities of a Nationalist Leader
    • Authors: S.M. Mutie, A.S.M. Oka, B. Chemwei
    • Journal: English Language and Literature Studies, 2015
    • Citations: 10

 

  • Self-mythologization in East African Political Writings: Kenyatta, Nyerere, and Museveni
    • Author: S.M. Mutie
    • Journal: Eastern African Literary and Cultural Studies, 2018
    • Citations: 4

 

  • Contesting the Subaltern Narrative: The Trickster Trope in the Kenyan Political Autobiography
    • Author: S. Mutie
    • Journal: Eastern African Literary and Cultural Studies, 2020
    • Citations: 3

 

  • Labelling and Othering: (Re) Engaging Wangari Maathai’s Madwoman Tag in Unbowed: A Memoir
    • Author: S. Mutie
    • Journal: Imbizo, 2022
    • Citations: 2

 

  • Re-membering Wangari Maathai’s Feminist Scholarship in her Autobiography Unbowed: One Woman’s Story
    • Author: S.M. Mutie
    • Journal: Journal of Higher Education in Africa/Revue de l’enseignement supérieur en Afrique, 2022
    • Citations: 1

 

  • Ideographs of Resistance and Identity Construction in the Kenyan Political Autobiography
    • Authors: S. Mutie, N. Goro-Kamau
    • Journal: Coretrain Journal of Languages, Humanities, Social Sciences and Education, 2018
    • Citations: 1

 

  • ‘The South in the North’: Worlding Kenyanness in Alex Chamwada’s TV series Daring Abroad
    • Author: S. Mutie
    • Journal: Eastern African Literary and Cultural Studies, 2024

 

  • Dramatization of Agency and Ecological Consciousness in How Beautiful We Were by Imbolo Mbue and Oil on Water by Helon Habila
    • Authors: R. Mwaga, S. Mutie, M. Gaita
    • Journal: East African Journal of Arts and Social Sciences, 2024

 

  • (Un) even Cultural Productions: (Re) theorising Silences in the Kenyan Political Life Writing
    • Authors: S. Mutie, A. Rutere
    • Journal: English Studies in Latin America: A Journal of Cultural and Literary Criticism, 2023

 

  • Virtualising Africa’s Arts, Securing the Future: Engendering Africa’s Popular Songs on TikTok’s Enchanted Space
    • Author: S. Mutie
    • Journal: Africa Insight, 2023