Fenet Jima Bedaso | Climate | Best Researcher Award

Published on by Young Scientists Awards

Dr. Fenet Jima Bedaso | Climate | Best Researcher Award

PhD Candidate, Trier University United States

Fenet Jima Bedaso is an economist specializing in labor, development, and health economics, with a focus on gender and migration. She earned her Ph.D. in Economics from Trier University, Germany, in 2024 with summa cum laude distinction. Fenet has extensive research experience as a Research Associate at the Institute for Labour Law and Industrial Relations in the European Union (IAAEU). She has authored multiple publications in esteemed journals and presented at international conferences. Additionally, she has worked as a Finance Officer at ACJPS and a Tax Officer at the Ethiopian Revenue Authority. She actively contributes to community development through various initiatives.

profile

Scholar

🎓 Education

Ph.D. in Economics (2019–2024), Trier University, Germany – Summa cum laude Dissertation: Essays on the Economics of Gender, Migration, and Labor Market Institutions. M.Sc. in Economics (2016–2019), Trier University Thesis: Gender and Entrepreneurship: Empirical Analysis Using the German Socio-Economic Panel (SOEP). MBA in Finance & Accounting (2013–2014), Cavendish University, Uganda Thesis: Corporate Governance, Internal Audit, and Financial Performance in Private Commercial Banks in Ethiopia. B.A. in Economics (2005–2008), Jimma University, Ethiopia Thesis: The Impact of Foreign Aid on Economic Growth in Ethiopia

💼 Experience

Research Associate (2019–2023), IAAEU, Trier University Conducted research on labor economics, migration, and gender studies. Presented papers at international conferences and organized academic events.. Student Assistant (2018–2019), Trier University Assisted in labor economics workshops and evaluated undergraduate exams. Finance Officer (2011–2016), ACJPS, Uganda. Managed payroll, financial budgets, grant proposals, and donor communications.Tax Officer (2009–2011), Ethiopian Revenue & Tax Authority Oversaw import/export taxation and customs clearance at Bole International Airport.

🏆 Awards & Honors

Best Paper Award (2022) – EU-Mediterranean and African Network for Economic Studies. Trier University Grant – Financial support for Ph.D. students with children. Civil Society Leadership Award – Open Society Foundation & DAAD. UNCTAD Training – Poverty reduction strategies in developing countries. Young African Leadership Award (YALI) – Public Management & Governance.

🔬 Research Focus

Labor Market Integration – Analyzing refugee and migrant employment trends. Gender & Workplace – Examining occupational segregation and pay gaps. Migration Economics – Investigating trade union participation among immigrants. Economic Empowerment – Studying the link between women’s jobs and domestic violence. Development Economics – Assessing the impact of foreign aid on economic growth.

 Conclusion

Dr. Fenet Jima Bedaso exhibits a strong research portfolio with notable contributions to economics, particularly concerning gender and migration issues. Her innovative approach and active dissemination of research findings position her as a compelling candidate for the Best Researcher Award. Addressing the identified areas for improvement could further elevate her standing in the academic community.

Publication

  • The Labor Market Integration of Refugees and Other Migrants in Germany

    • Author: F. Bedaso
    • Journal: GLO Discussion Paper
    • Year: 2021
    • Citations: 12

 

  • Immigrants and Trade Union Membership: Does Integration into Society and Workplace Play a Moderating Role?

    • Authors: F. Jima Bedaso, U. Jirjahn
    • Journal: British Journal of Industrial Relations
    • Volume/Issue: 62 (2), 262-292
    • Year: 2024
    • Citations: 11

 

  • Occupational Segregation and the Gender Wage Gap: Evidence from Ethiopia

    • Author: F. J. Bedaso
    • Journal: GLO Discussion Paper
    • Year: 2024
    • Citations: 1

 

  • Her Job, Her Safety? Domestic Violence and Women’s Economic Empowerment: Evidence from Ethiopia

    • Author: F. J. Bedaso
    • Journal: GLO Discussion Paper
    • Year: 2024

 

  • Immigrants and Trade Union Membership: Does Integration into Society and Workplace Play a Moderating Role?

    • Authors: F. J. Bedaso, Uwe Jirjahn, Laszlo Goerke

 

 

Francisco Maria Calisto | Computer Interaction | Young Scientist Award

Published on by Young Scientists Awards

Dr. Francisco Maria Calisto| Computer Interaction | Young Scientist Award

Researcher, Institute for Systems and Robotics

Francisco Maria Calisto is a researcher specializing in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and medical imaging. He completed his PhD in Computer Science and Engineering at Instituto Superior Técnico, Universidade de Lisboa, Portugal, focusing on the human-centered design of AI-driven personalized medical imaging systems. His research explores intelligent agent integration for enhancing radiology workflows, improving clinical decision-making, and ensuring security and trust in AI applications. He has worked as a Doctoral Researcher at ISR-Lisboa and a Visiting Scholar at Carnegie Mellon University. His contributions include developing BreastScreening-AI, an AI-based diagnostic framework for breast cancer detection. He has also collaborated with institutions such as INESC-ID and ITI, contributing to user-centered AI-driven healthcare innovations. Francisco actively teaches Human-Computer Interaction and User-Centered Design, shaping future AI-driven healthcare solutions. His work aims to bridge AI, HCI, and medical imaging for better clinical outcomes and decision support.

Orcid

Scholar

🎓 Education 

PhD in Computer Science and Engineering (2024) – Instituto Superior Técnico, Universidade de Lisboa, Portugal. MSc in Information Systems and Computer Engineering (2018) – Instituto Superior Técnico, Universidade de Lisboa, Portugal. BSc in Computer Science and Engineering (2017) – Instituto Superior Técnico, Universidade de Lisboa, Portugal. Doctoral Thesis – Human-Centered Design of Personalized Intelligent Agents in Medical Imaging Diagnosis (Supervisors: Prof. Jacinto Nascimento & Prof. Nuno Nunes). Explores AI-based radiology workflow optimization, focusing on trust, security, and usability. Master’s Thesis – Medical Imaging Multimodality Breast Cancer Diagnosis User Interface (Supervisors: Prof. Jacinto Nascimento & Prof. Daniel Gonçalves). Investigated Deep Convolutional Neural Networks (DCNNs) for breast cancer diagnosis using MRI, ultrasound, and mammography data. Scholarships – Funded by FCT (PD/BD/150629/2020, CMU/ECE/0005/2017, BL89/2017-IST-ID).

💼 Experience 

Doctoral Researcher (2020–2024) – ISR-Lisboa, Portugal. Developed AI-based second-reader systems for medical imaging in partnership with CMU. Visiting Scholar (2022–2023) – Carnegie Mellon University, USA. Researched human-AI collaboration in clinical decision-making under Prof. John Zimmerman. Research Fellow (2018–2019) – ITI, Portugal. Designed AI-assisted healthcare solutions and worked on the FeedBot project. Research Engineer (2016–2018) – ISR-Lisboa, Portugal. Focused on AI-driven breast cancer detection using multimodal imaging. Online Editor & Web Developer (2016–2017) – Elsevier (Remote, UK). Managed content for the Computers & Graphics journal. Research Assistant (2015–2017) – INESC-ID, Portugal. Developed user-centered AI tools for healthcare applications. Teaching Experience (2016–Present) – Invited Teaching Assistant and Supporting Lecturer at Instituto Superior Técnico, specializing in Human-Computer Interaction and User-Centered Design.

🏆 Awards & Honors

Early Career Research Recognition – Awarded by multiple institutions for contributions to AI in medical imaging. Best Paper Awards – Received at top conferences for HCI and AI in radiology research. FCT Doctoral Grant (PD/BD/150629/2020) – Funded PhD research on intelligent agents in medical imaging. CMU Portugal Program Fellowship (2018–2019) – Supported research in AI-assisted clinical workflows. IST Excellence in Research Award – Recognized for outstanding contributions to medical AI. Elsevier Recognition (2016–2017) – Acknowledged for contributions to Computers & Graphics journal. LARSyS Research Fund – Funded work on AI in healthcare. Best Teaching Assistant Award (2023) – Honored for excellence in teaching Human-Computer Interaction.

🔬 Research Focus 

 Human-Computer Interaction (HCI) – Investigating AI-assisted decision-making and usability in medical imaging. Artificial Intelligence in Radiology – Developing intelligent agents to enhance clinical workflows, focusing on trust, security, and ethical AI use.  Medical Imaging & Breast Cancer Detection – Leading research in AI-driven breast cancer diagnostics through multimodal imaging analysis. Personalized AI in Healthcare – Studying adaptive AI communication strategies to optimize clinician-AI interactions. Deep Learning & Convolutional Neural Networks (CNNs) – Applying deep learning to classify, segment, and analyze medical images. User-Centered AI Design – Ensuring AI systems align with clinical needs through human-centered methodologies. Decision Support Systems – Creating AI-driven frameworks like BreastScreening-AI to improve diagnostic accuracy. Ethical AI & Explainability – Enhancing AI interpretability in healthcare for trust and reliability.

Conclusion

Dr. Francisco Maria Calisto exhibits a robust portfolio of innovative research, interdisciplinary collaboration, and academic mentorship. His contributions to the fields of HCI and Health Informatics, particularly in enhancing medical imaging diagnostics through AI, position him as a strong candidate for the Best Researcher Award. Addressing the identified areas for improvement could further solidify his standing as a leading researcher in his domain.

publication

  • BreastScreening-AI: Evaluating Medical Intelligent Agents for Human-AI Interactions (2022) – FM Calisto, C Santiago, N Nunes, JC Nascimento – 113 citations

 

  • Introduction of Human-Centric AI Assistant to Aid Radiologists for Multimodal Breast Image Classification (2021) – FM Calisto, C Santiago, N Nunes, JC Nascimento – 106 citations

 

  • Modeling Adoption of Intelligent Agents in Medical Imaging (2022) – FM Calisto, N Nunes, JC Nascimento – 86 citations

 

  • Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis (2023) – FM Calisto, J Fernandes, M Morais, C Santiago, JM Abrantes, N Nunes, … – 67 citations

 

  • BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis (2020) – FM Calisto, NJ Nunes, JC Nascimento – 63 citations

 

  • Towards Touch-Based Medical Image Diagnosis Annotation (2017) – FM Calisto, A Ferreira, JC Nascimento, D Gonçalves – 54 citations

 

  • Classification of Breast Cancer in MRI with Multimodal Fusion (2023) – M Morais, FM Calisto, C Santiago, C Aleluia, JC Nascimento – 25 citations

 

  • Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning (2023) – P Diogo, M Morais, FM Calisto, C Santiago, C Aleluia, JC Nascimento – 20 citations

 

  • External Validation of a Deep Learning Model for Breast Density Classification (2023) – JM Abrantes, MJ Bento e Silva, JP Meneses, C Oliveira, FM Calisto, … – 11 citations

 

  • Medical Imaging Multimodality Breast Cancer Diagnosis User Interface (2017) – FM Calisto – 10 citations

 

  • Human-Centered Design of Personalized Intelligent Agents in Medical Imaging Diagnosis (2024) – FM Calisto – 8 citations

 

  • Computational Method and System for Improved Identification of Breast Lesions – FM Calisto, J Nascimento – No citation data available

Habibullah Abbasi| Climate | Best Researcher Award

Published on by Young Scientists Awards

Habibullah Abbasi|Climate|Best |Researcher Award

Professor, Centre for Environmental Sciences University of Sindh

Dr. Habibullah U. Abbasi is a Pakistani environmental scientist specializing in atmospheric environment and remote sensing. He serves as an Assistant Professor at the University of Sindh, Jamshoro, focusing on climate modeling, environmental impact assessment, and geospatial analysis. His research explores Earth’s surface monitoring through satellite data, emphasizing global and regional environmental changes. Dr. Abbasi has authored numerous research papers on land-use changes, groundwater assessment, and climate impact analysis. With expertise in GIS, remote sensing, and environmental modeling, he contributes significantly to sustainable environmental solutions.

profile

scholar

🎓 Education

Ph.D. (2008-2011) in Environmental Sciences, University of Sindh Jamshoro, specializing in Remote Sensing, Analytical Hierarchy Process (AHP), and Environmental Impact Assessment (EIA)M.Phil. (2005-2007) in Environmental Sciences, University of Sindh Jamshoro, focusing on Remote Sensing, GIS, and EIA.B.CIT(20002004)inComputer&InformationTechnology, University of Sindh Jamshoro. Short Courses & Training:

💼 Experience

Assistant Professor (2015-Present), Center for Environmental Sciences, University of Sindh, Jamshoro.Assistant Professor (2013-2015), Sindh Madressatul Islam University (SMIU), Karachi.Visiting Scholar (2013-2014), Center for Environmental Sciences, University of Sindh, Jamshoro.Assistant Professor (2012-2013), Energy & Environment Engineering Department, QUEST, Nawabshah.

🏆 Awards & Honors

Recognized for significant research contributions in environmental sciences. Recipient of various academic and research grants.Acknowledged for excellence in GIS-based environmental assessment. Contributions in climate modeling and satellite-based environmental analysis.

🔬 Research Focus

Atmospheric Environment & Climate Modeling – Studying global and regional environmental changes.Remote Sensing & GIS – Analyzing land-use changes and environmental impact.Hydrological & Groundwater Studies – Assessing water resources using geospatial technologies.Sustainable Environmental Solutions – Developing models for ecological conservation.

✅ Conclusion

Dr. H. U. Abbasi (and collaborators) demonstrates strong expertise in remote sensing, GIS, and environmental sustainability, with a well-cited publication record. While their research significantly contributes to regional climate and land-use studies, global collaboration, publication in top-tier journals, and policy-oriented research would further solidify their candidacy for the Best Researcher Award. Given the strong academic influence, Dr. Abbasi is a competitive candidate for this recognition

Publication

  • A review on change detection method and accuracy assessment for land use land cover (2021) – Authors: AH Chughtai, H Abbasi, IR Karas – Citations: 239

 

  • Geospatial analysis of wetlands based on land use/land cover dynamics using remote sensing and GIS in Sindh, Pakistan (2021) – Authors: H Islam, H Abbasi, A Karam, AH Chughtai, M Ahmed Jiskani – Citations: 33

 

  • Deforestation analysis of riverine forest of Sindh using remote sensing techniques (2011) – Authors: HU Abbasi, MA Baloch, AG Memon – Citations: 11

 

  • Impact analyses of upstream water infrastructure development schemes on downstream flow and sediment discharge and subsequent effect on Deltaic region (2015) – Authors: AN Laghari, HU Abbasi, A Aziz, NA Kanasro – Citations: 10

 

  • Strain energy based homogenization method to find the equivalent orthotropic properties of sandwich structures (2014) – Authors: H Ijaz, M Asad, A Memon, KB Ahmed, H Abbasi, AN Laghari – Citations: 7

 

  • Analysis of riverine forests of Nawabshah and Hyderabad divisions using Landsat satellite data (2015) – Authors: HU Abbasi, AG Memon, AS Soomro, MA Baloch – Citations: 5

 

  • Temperature modelling of Indus basin using Landsat data (2012) – Authors: HU Abbasi, AS Soomro, A Memon, SR Samo, IR Karas – Citations: 4

 

  • A Conceptual Model for identifying Landslide risk: A case study Balakot, Pakistan (2012) – Authors: AS Soomro, HU Abbasi, AG Memon, SR Samo – Citations: 4

 

  • Impact assessment on Manchar lake of water scarcity through remote sensing-based study (Year Not Available) – Authors: HU Abbasi, MA Baluch, AS Soomro – Citations: 4

 

  • Analytical approaches and advancement in the analysis of natural and synthetic fiber: a comprehensive review (2024) – Authors: Z Ali, FN Talpur, HI Afridi, F Ahmed, NA Brohi, H Abbasi – Citations: 3

 

  • Spatio-temporal land use/cover assessment of Sub-Tropical Forests of Thatta Division (2019) – Authors: HU Abbasi, H Islam – Citations: 3

 

  • Assessment of Deforestation of Riverine Forests of Nawabshah & Hyderabad Divisions Using Landsat Data (Year Not Available) – Authors: HU Abbasi, AG Memon, AS Soomro – Citations: Not Available

Muhammad Farhan Jahangir Chughtai|Food Science |Best Researcher Award

Published on by Young Scientists Awards

Assist. Prof. Dr. Muhammad Farhan Jahangir Chughtai|Food Science |Best Researcher Award

Assistant Professo,Khwaja Fareed University of Engineering and Information Technology

Dr. Muhammad Farhan Jahangir Chughtai is the Head of the Department of Food Science & Technology at Khwaja Fareed University of Engineering & Information Technology (KFUEIT), Rahim Yar Khan. He specializes in food technology, human nutrition, food safety, and quality systems. With extensive experience in research and academia, he has served as an assistant professor, senior lecturer, and research associate. His international exposure includes research at Purdue University, USA. Dr. Chughtai actively contributes to academic committees, organizes conferences, and participates in national and international scientific forums.

profile

scopus

Scholar

🎓 Education

Dr. Chughtai earned his Ph.D. in Food Technology from the University of Agriculture Faisalabad (2017), following an M.Sc. Hons. in Food Technology (2013) and a B.Sc. Hons. in Food Science & Technology (2011) from the same institution. He completed his F.Sc. Pre-Medical at Govt. Khwaja Fareed College, Rahim Yar Khan (2007) and matriculation at Govt. Colony High School, Rahim Yar Khan (2004), consistently achieving top academic distinctions.

👨‍🏫 Experience

Dr. Chughtai has been an Assistant Professor and Head of Department at KFUEIT since 2018. He previously worked at NUR International University, Lahore, as an Assistant Professor and Senior Lecturer. His research experience includes a tenure as a Visiting Scholar at Purdue University, USA, and serving as a Research Associate for an HEC-funded project at the University of Agriculture Faisalabad. His professional contributions extend to academic administration, curriculum development, and student facilitation.

🏆 Awards & Honors

Dr. Chughtai has received various prestigious accolades, including the Higher Education Commission (HEC) International Research Support Initiative Program (IRSIP) award for research at Purdue University. He has been actively involved in national and international conferences, organizing committees, and professional societies such as the Pakistan Society of Food Scientists & Technologists. His contributions to research and academia have been recognized through multiple leadership roles and invitations to scientific panels.

🔬 Research Focus

Dr. Chughtai’s research interests span food technology, human nutrition, food safety, and quality management. He specializes in cereal science, milling and baking technologies, and instrumental food analysis, including chromatography (GC, GC-MS, HPLC), spectroscopy (FTIR, Atomic Absorption), and nano-particle fabrication. His studies emphasize halal food management, food service systems, and functional foods, aiming to enhance food security and sustainability through innovative research.

Conclusion:

Dr. Muhammad Farhan Jahangir Chughtai’s substantial research contributions, leadership roles, and international collaborations position him as a strong candidate for the Best Researcher Award in Food Science and Technology. Addressing the suggested areas for improvement could further solidify his standing as a leading figure in the scientific community.

Publication

  • Camel milk: Massive paragon of nutritional and therapeutic potentials: A review (2019) – A Khaliq, MFJ Chughtai, M Nadeem, A Aslam, A Liaqat, T Mehmmod, … (7 citations)

 

  • Green-synthesized selenium nanoparticles using garlic extract and their application for rapid detection of salicylic acid in milk (2023) – R Aftab, S Ahsan, A Liaqat, M Safdar, MFJ Chughtai, M Nadeem, … (6 citations)

 

  • Safety and quality assessment of street‐vended barbecue chicken samples from Faisalabad, Pakistan (2023) – A Ali, N Ahmad, A Liaqat, MA Farooq, S Ahsan, MFJ Chughtai, … (6 citations)

 

  • Cinnamon essential oil (2023) – A Liaqat, S Ahsan, MS Fayyaz, A Ali, SA Ashfaq, S Khan, MA Khan, … (6 citations)

 

  • Double Layered Encapsulation to Immobilize Bifidobacterium Bifidum ATCC 35914 in Polysaccharide‐Protein Matrices and their Viability in Set Type Yoghurt (2022) – R Iqbal, A Liaqat, I Yasmin, S Ahsan, MF Janahgir Chughtai, S Tanweer, … (6 citations)

 

  • Assessment of camel milk Yogurt as a cogent approach on Streptozotocin (STZ) induced diabetes mellitus in sprague-Dawley rats (2019) – A Khaliq, MA Shariati, S Ahsan, I Pasha, A Liaqat, MB Irshad, … (6 citations)

 

  • Phenolic acid profile of oat cultivars, and their suppressive effect on intracellular reactive oxygen species (2023) – MFJ Manzoor, M.S., Pasha, I., Younas, S., Zhu, M., Hussain, R., Arqam, U … (5 citations)

 

  • Physiochemical, rheological and organoleptic assessment of camel milk yogurt prepared from various locations of Punjab-Pakistan (2022) – A Khaliq, S Ahsan, A Liaqat, MFJ Chughtai, T Mehmood, MA Farooq, … (5 citations)

 

  • Sustainable Food Processing and Engineering Challenges (2021) – A Khaliq, MFJ Chughtai, T Mehmood, CM Galanakis (5 citations)

 

  • Physico-chemical and microbial properties of bread supplemented with sweet potato flour (2015) – I Pasha, MR Khan, A Ali, M Chughtai, S Ahmad, M Nasir (5 citations)

 

 

 

Alex Ayenew Chereka | Health informatics| Young Scientist Award

Published on by Young Scientists Awards

Mr. Alex Ayenew Chereka | Health informatics| Young Scientist Award

Mr. Alex Ayenew Chereka | Health informatics | Lecturer at Mattu University, Ethiopia 

Alex Ayenew Chereka is a dedicated lecturer and researcher in Health Informatics at Mattu University, Ethiopia. He holds a BSc in Health Informatics (2018) and a Master of Public Health (MPH) with a focus on Health Informatics (2021) from the University of Gondar. Passionate about technology and healthcare, Alex is committed to improving healthcare delivery through digital innovations. He has certifications in Data Analytics Fundamentals and Android Development from Udacity. Over the years, he has been involved in the development of health informatics curricula, teaching courses, and supervising students in practical health informatics applications. Alex’s research and work center around digital health literacy, telemedicine, and health data analytics, with a particular focus on Ethiopia’s health sector. He has contributed to several important studies and continues to explore the impact of digital health tools in improving public health outcomes.

Profile

Orcid

Scopus

🎓 Education 

Alex Ayenew Chereka completed his BSc in Health Informatics at the University of Gondar in 2018. Following his undergraduate studies, he pursued a Master of Public Health in Health Informatics (MPH) from the same institution, graduating in 2021. His academic training in health informatics has provided him with a strong foundation in the integration of technology in healthcare systems, data analytics, and public health strategies. During his time at the University of Gondar, Alex developed expertise in areas like database systems, epidemiology, biostatistics, and telemedicine. His education has equipped him with both theoretical and practical skills, making him a key contributor to health informatics research and the application of technology in improving healthcare access and outcomes in Ethiopia. He is also continually expanding his skillset with certifications in Data Analytics Fundamentals and Android Development through Udacity.

🏆 Experience 

Alex Ayenew Chereka has been working as a Health Informatics Lecturer at Mattu University in Ethiopia since October 2018. In his role, Alex designs and delivers lectures, seminars, and practical sessions for undergraduate and graduate students in health informatics. He develops and updates curricula to ensure that it reflects the latest advancements in the field of health technology. Alex has also conducted research and published articles on various health informatics topics, focusing on digital health literacy, telemedicine, and health data analytics. In addition to his teaching duties, he supervises students’ theses, internships, and projects, providing guidance on how to apply health informatics concepts in real-world settings. Prior to his teaching career, Alex completed his BSc in Health Informatics and Master of Public Health Informatics at the University of Gondar, where he acquired foundational knowledge in public health and informatics.

🏅 Awards and Honors 

Alex Ayenew Chereka’s dedication to both education and research in health informatics has earned him recognition within his academic community. Although he has not yet received large-scale, public-facing awards, he has achieved a strong reputation for his contributions to health informatics education and research. He is particularly respected for his work on digital health literacy and telemedicine in Ethiopia. Alex’s academic achievements are highlighted by his Master of Public Health and BSc in Health Informatics, coupled with specialized certifications in Data Analytics and Android Development. He has also contributed to various research publications, focusing on areas like COVID-19 information sharing, telemedicine usage, and digital literacy among healthcare professionals. These efforts have established him as a rising star in the field of health informatics, further positioning him for continued professional growth and potential recognition in the future.

🔬 Research Focus 

Alex Ayenew Chereka’s research primarily focuses on digital health literacy, telemedicine, and health data analytics, with a particular emphasis on their applications in Ethiopia. His work investigates the barriers and enablers to the adoption of digital health tools and how they can enhance healthcare access, especially in underdeveloped regions. Key areas of his research include understanding the attitudes toward telemedicine among health professionals, evaluating digital literacy levels in Ethiopian health sectors, and examining the role of internet use for health information seeking. His research has contributed significantly to knowledge in the field of eHealth, offering insights into COVID-19-related knowledge sharing practices, digital health literacy, and the effects of digital health interventions. Through systematic reviews and meta-analyses, Alex aims to uncover critical insights into the factors that influence the adoption and effectiveness of digital health initiatives in Ethiopia and similar contexts.

🔍Conclusion

Alex Ayenew Chereka exemplifies the qualities sought after in a recipient of the Young Scientist Award. His unique blend of academic rigor, practical experience in health informatics, and a genuine drive to improve healthcare in Ethiopia through technology makes him an outstanding candidate for this recognition. His work directly contributes to the improvement of healthcare systems in his country, providing solutions that address real-world problems through the integration of digital health tools. As a dedicated educator, researcher, and advocate for digital health, Alex’s future contributions hold great potential for further advancing public health and health informatics, making him a deserving nominee for the Young Scientist Award.

Publication 

“Explore barriers to using the internet for health information access in African countries: A systematic review”

Source: PLOS Digital Health

Date: 2025-01-27

DOI: 10.1371/journal.pdig.0000719

Authors: Not provided in the summary.

Citations: Not yet available.

Year: 2025

“Examining internet use for health information seeking and influencing factors among undergraduate health science students in Southwest Ethiopia”

Source: Heliyon

Date: 2025-01

DOI: 10.1016/j.heliyon.2024.e41545

Authors: Not provided in the summary.

Citations: Not yet available.

Year: 2025

“Practices for preventing Hepatitis B infection among health science students in Ethiopia: Systematic review and meta-analysis”

Source: PLOS ONE

Date: 2024-07-10

DOI: 10.1371/journal.pone.0306965

Authors: Not provided in the summary.

Citations: Not yet available.

Year: 2024

“Evaluating digital literacy of health professionals in Ethiopian health sectors: A systematic review and meta-analysis”

Source: PLOS ONE

Date: 2024-05-16

DOI: 10.1371/journal.pone.0300344

Authors: Not provided in the summary.

Citations: Not yet available.

Year: 2024

“Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: A systematic review”

Source: PLOS ONE

Date: 2023

DOI: 10.1371/journal.pone.0287991

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2023

“Health professionals’ routine practice documentation and its associated factors in a resource-limited setting: A cross-sectional study”

Source: BMJ Health and Care Informatics

Date: 2023

DOI: 10.1136/bmjhci-2022-100699

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2023

“Machine learning algorithms’ application to predict childhood vaccination among children aged 12–23 months in Ethiopia: Evidence 2016 Ethiopian Demographic and Health Survey dataset”

Source: PLOS ONE

Date: 2023

DOI: 10.1371/journal.pone.0288867

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2023

“Medical documentation practice and its association with knowledge, attitude, training, and availability of documentation guidelines in Ethiopia, 2022. A systematic review and meta-analysis”

Source: Informatics in Medicine Unlocked

Date: 2023

DOI: 10.1016/j.imu.2023.101237

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2023

“Systematic review and meta-analysis of knowledge on PMTCT of HIV/AIDS and Association factors among reproductive age women in Ethiopia, 2022”

Source: BMC Infectious Diseases

Date: 2023

DOI: 10.1186/s12879-023-08461-z

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2023

“COVID-19 related knowledge sharing practice and associated factors among healthcare providers worked in COVID-19 treatment centers at teaching hospitals in Northwest Ethiopia: A cross-sectional study”

Source: Informatics in Medicine Unlocked

Date: 2022

DOI: 10.1016/j.imu.2022.100856

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2022

“Digital health literacy to share COVID-19 related information and associated factors among healthcare providers worked at COVID-19 treatment centers in Amhara region, Ethiopia: A cross-sectional survey”

Source: Informatics in Medicine Unlocked

Date: 2022

DOI: 10.1016/j.imu.2022.100934

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2022

“Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase”

Source: BMC Health Services Research

Date: 2022

DOI: 10.1186/s12913-022-07688-x

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2022

“Spatial Distribution of Foods Rich in Vitamin A Intake Status and Associated Factors among Children aged 6–23 Months in Ethiopia: Spatial and Multilevel Analysis of 2019 Ethiopian Mini Demographic and Health Survey.”

Source: Research Square

Date: 2022

DOI: 10.21203/rs.3.rs-1518204/v1

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2022

“Spatial distribution of vitamin A rich foods intake and associated factors among children aged 6–23 months in Ethiopia: spatial and multilevel analysis of 2019 Ethiopian mini demographic and health survey”

Source: BMC Nutrition

Date: 2022

DOI: 10.1186/s40795-022-00573-0

Authors: Alex Ayenew (via Scopus – Elsevier)

Citations: Not yet available.

Year: 2022

 

 

 

Laraib Unsa Noor Sahito | Smartphone based optical Fiber sensors| Best Researcher Award

Published on by Young Scientists Awards

Ms. Laraib Unsa Noor Sahito | Smartphone based optical Fiber sensors| Best Researcher Award

Master’s student at Chongqing University, Pakistan 

Laraib Unsa Noor is a dynamic and promising researcher, currently pursuing a Master of Engineering (M.Eng.) in Mechanical and Vehicle Engineering at Chongqing University, China, with a remarkable academic background, Laraib has demonstrated consistent academic excellence, achieving an 80% score in her ongoing studies. She completed her B.S. in Electronic Engineering from the University of Sindh Jamshoro, Pakistan, with a GPA of 3.21/4.00. With a growing interest in sensor technology and thermal management systems for electric vehicles (EVs), Laraib has contributed to high-impact research in the areas of portable sensors and graphene-based materials. Her work has already earned her recognition in the form of multiple awards and accolades. Laraib’s dedication to research, combined with her strong academic and teaching experience, makes her a promising young researcher in the field of engineering.

Profile

Orcid

🎓 Education 

Laraib Unsa Noor is currently enrolled in the M.Eng. program in Mechanical and Vehicle Engineering at Chongqing University, China (Sep. 2023 – Jul. 2026), where she holds an impressive academic record, achieving a 80% score. Prior to this, she earned her B.S. in Electronic Engineering from the University of Sindh Jamshoro, Pakistan (Jan. 2018 – Dec. 2021), where she maintained a GPA of 3.21/4.00. During her undergraduate studies, Laraib developed a keen interest in sensor technologies and their applications in various engineering fields. Her current graduate studies focus on advanced thermal management systems and portable sensor technologies for electric vehicles, reflecting her commitment to addressing modern engineering challenges. Laraib’s academic journey exemplifies her passion for blending electronics with mechanical engineering principles to innovate sustainable solutions for the future.

🏆 Experience 

Laraib Unsa Noor has gained valuable teaching and research experience, contributing to both academia and industry. Since June 2023, she has been working as a 14th Scale Government Teacher at Higher Secondary School of Haji Kaloo Sahito Phalkara, Pakistan, where she applies her engineering knowledge to mentor and guide students. She also served as a Visiting Faculty Teacher at the University of Sindh Jamshoro (Jan. 2022 – Dec. 2022), showcasing her ability to teach complex engineering concepts and engage with students effectively. In addition to her teaching roles, Laraib has been actively involved in cutting-edge research. At Chongqing University, she focuses on Portable Sensors and the Thermal Management Systems of Electric Vehicles, contributing to the College of Mechanical and Vehicular Engineering since January 2023. Earlier, at the National Centre of Excellence in Analytical Chemistry (Feb. 2019 – Dec. 2021), Laraib worked on Graphene/Silicon Sensors, enhancing her expertise in sensor technologies.

🏅 Awards and Honors 

Laraib Unsa Noor has been recognized for her academic excellence and research achievements. She was awarded the prestigious CSC Fully Funded Master’s Scholarship (Sep. 2023 – Jul. 2026) to pursue her master’s degree at Chongqing University, reflecting her strong academic credentials and potential in the field. Laraib’s research contributions have also earned her multiple accolades, including the Best Research Award for her work on Graphene-Based Smart Gas Sensors (Mar. 2022). In addition, Laraib demonstrated her innovation skills by securing 1st Position in the Smart Electric Military Vehicle Project (Dec. 2019), where she contributed to the development of advanced electric vehicle technologies. These achievements highlight Laraib’s dedication to both research and practical applications, showcasing her as an emerging leader in her field with a promising future in engineering and technology.

🔬 Research Focus 

Laraib Unsa Noor’s research focus lies at the intersection of sensors, thermal management, and electric vehicles (EVs). Currently, at Chongqing University, she is dedicated to the development of Portable Sensors and enhancing the Thermal Management Systems of EVs, areas critical to advancing sustainable transportation technologies. Her research aims to improve sensor accuracy, efficiency, and portability, particularly in applications related to monitoring fluid levels, refractive index sensing, and liquid-level measurement using optical fiber sensors. Laraib’s work on Graphene/Silicon Sensors at the National Centre of Excellence in Analytical Chemistry, where she contributed to the development of advanced gas sensors, further emphasizes her commitment to innovative material applications in sensor technology. With a keen interest in renewable energy and sustainable engineering, her research is focused on addressing key challenges in modern engineering, especially in the context of electric vehicles and sensor-based systems for smart technologies.

🔍Conclusion

Laraib Unsa Noor’s dedication to her field, her innovative contributions, and the recognition she has received for her work make her an excellent candidate for the Best Researcher Awards. Her ability to bridge the gap between academia and practical engineering solutions—particularly in EV systems and sensor technologies—demonstrates her potential to impact the future of these industries positively. The honors and awards she has earned already show that her peers recognize her excellence, which further supports her suitability for this award.

Publication

Smartphone-based optical fiber sensor for refractive index sensing using POF

Authors: Laraib Unsa Noor Sahito

Citations: 0 (no citations available yet)

Year: 2025

Simultaneous measurement of liquid level and R.I. sensor using POF based on twisted structure

Authors: Laraib Unsa Noor Sahito

Citations: 0 (no citations available yet)

Year: 2025

Portable Optical Fiber Sensor for Continuous Liquid Level Sensing Using Commercially Available POF

Authors: Laraib Unsa Noor Sahito

Citations: 0 (no citations available yet)

Year: 2024

 

Daniel Akerele | Concrete and Construction Materials| Best Researcher Award

Published on by Young Scientists Awards

Mr. Daniel Akerele | Concrete and Construction Materials| Best Researcher Award

Research Assistant, University of Washington United States

Daniel D. Akerele is a PhD Candidate in Construction Management at the University of Washington, Seattle. His research focuses on rapid-set materials for concrete pavement repair, integrating AI-driven material science and sustainability. With extensive academic and industry experience, he serves as a Predoctoral Teaching Associate, instructing construction materials and sustainability courses. He has worked as a Research Assistant at the Center for Education and Research in Construction and as a Project Engineer at Turner Construction, optimizing sustainable concrete mix designs. Prior to this, he held roles in Nigeria as a Construction/Design Manager and Project Coordinator, overseeing major infrastructure projects. Daniel has received numerous awards, including the College of Built Environment’s Top Scholar Award and PNWCMAA Student Scholarship. As an active researcher, he has published in peer-reviewed journals and serves as a reviewer for international publications. His expertise spans construction management, AI-driven modeling, material testing, and sustainable infrastructure development.

Profile

Orcid

🎓 Education 

PhD Candidate, Construction Management | University of Washington, Seattle (2022 – Present) Research: Rapid-set materials for concrete pavement repair Certifications: BIM, Construction Project Management (Columbia University) Competitions: ASC Reno, NWCCC Student Bid, ACI Mentorship. MSc, Civil Engineering (Water Resources & Environmental Engineering Major) | University of Ibadan, Nigeria Thesis: Physicochemical and Bacteriological Assessment of Borehole Water CGPA: 3.69/4.0. BTech, Civil Engineering | Ladoke Akintola University of Technology, Nigeria Thesis: Effect of Geotextiles on Lime-Stabilized Soils Class Representative (2009-2014) Captain, Association of Civil Engineering Students Competition (2012)

🏆 Experience 

Research Assistant | Center for Education & Research in Construction, University of Washington (2022 – Present) Conducts experimental research on sustainable rapid-set materials Applies AI techniques for material optimization and durability prediction. Project Engineer | Turner Construction, USA (2023 – 2024) Led sustainability initiatives for concrete optimization Developed AI-driven material tracking and carbon footprint assessments. Construction/Design Manager | Sustainable Procurement Services Ltd., Nigeria (2021 – 2022). Managed infrastructure projects, cost control, and vendor negotiations. Site Engineer | Arbico PLC, Nigeria (2020 – 2021) Supervised road and building construction, high-rise developments. Construction Project Coordinator | Sparklight Engineering Ltd., Nigeria (2015 – 2020) Led 44,000-worker housing facility project in Dangote Refinery Boosted net profitability by 64% through strategic planning

🏅 Awards and Honors 

College of Built Environment’s Top Scholar Award | University of Washington. Nellis’ Endowment Fellowship. PNWCMAA Student Scholarship 2024 Award. Reviewer | Environment, Development & Sustainability Journal. Reviewer | Indian Geotechnical Journal. Reviewer | International Journal of Environmental Science & Technology. Volunteer Judge | Central Sound Regional Science & Engineering Fair. Volunteer Judge | Washington DECA

🔬 Research Focus 

Daniel’s research explores AI-driven material optimization, rapid-set concrete development, and sustainability in construction. His work includes performance evaluation, field applications, and life cycle assessments of cementitious materials. He is particularly interested in reducing carbon emissions through alternative binders and computational modeling. His recent projects focus on Portland Limestone Cement performance, Calcium Sulphoaluminate (CSA) concrete, and construction waste reduction. Daniel actively collaborates with industry stakeholders, including the Washington DOT, to align research with practical applications. He has published on topics such as CO₂ impact on CSA concrete, lightweight aggregate concrete, and water quality assessment. His research integrates data analytics, machine learning, and life cycle impact assessment to enhance the durability and sustainability of construction materials. Through his work, he aims to bridge the gap between academia and industry by developing cost-effective, scalable solutions for resilient infrastructure.

🔍Conclusion

Daniel D. Akerele is a strong candidate for the Best Researcher Award based on his innovative research, industry engagement, and academic contributions. Addressing minor gaps in publications and research funding could further solidify his standing as a leading researcher in construction materials and sustainability.

Publication

  • Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions

    • Journal: Buildings
    • Date: 2025-02-20
    • DOI: 10.3390/buildings15050660
    • Contributors: Daniel D. Akerele, Federico Aguayo, Lingzi Wu

 

  • Evaluating the Impact of CO₂ on Calcium SulphoAluminate (CSA) Concrete

 

  • Effect of Geotextile on Lime Stabilized Lateritic Soils under Unsoaked Condition

 

  • Assessment of Physicochemical and Bacteriological Parameters of Borehole Water: A Case Study from Lekki, Lagos, Nigeria

 

  • Solving Lime Stabilization Issues Using Woven Geotextile in Soaked Conditions

 

 

Yanling Wei| Intelligent Control | Best Researcher Award

Published on by Young Scientists Awards

Prof. Dr.Yanling Wei| Intelligent Control | Best Researcher Award

Prof. Dr.Yanling Wei | Intelligent Control at Southeast University, China

Dr. Yanling Wei is a Full Professor in the Department of Automation at Southeast University, China. He holds a Ph.D. in Aeronautics from Harbin Institute of Technology and a B.Eng. in Automation from Harbin University of Science and Technology. Dr. Wei’s research spans multiple areas, including robust filtering and estimation, robotics, industrial process control, and intelligence control. He has worked in top institutions across the globe, including the University of Leuven (Belgium), the National University of Singapore, and the Technical University of Berlin. With his strong academic background and global experience, he has made significant contributions to control systems, robotics, and automation. His expertise in robust control and machine learning has earned him numerous accolades and recognition as a leading researcher in his field.

Profile

Scopus

🎓 Education 

Dr. Yanling Wei’s academic journey began at Harbin University of Science and Technology, where he earned his Bachelor’s degree in Automation (B.Eng.) in 2008. He then pursued advanced studies at Harbin Institute of Technology, obtaining his Ph.D. in Aeronautics in 2014. His doctoral research focused on control systems, leading to groundbreaking advancements in robust filtering, estimation, and nonlinear system control. Dr. Wei’s education laid a solid foundation for his subsequent career in robotics, automation, and intelligent control. His passion for academic growth is reflected in his postdoctoral work at prestigious institutions like the National University of Singapore and the Technical University of Berlin. Dr. Wei’s educational path showcases his commitment to research excellence and innovation, making him an authority in various interdisciplinary fields.

🏆 Experience 

Dr. Yanling Wei’s academic and professional experience spans prestigious institutions worldwide. Since 2019, he has been a Full Professor at Southeast University’s Department of Automation, where he teaches and leads groundbreaking research in robotics and control systems. His previous roles include serving as a Senior Research Fellow at the University of Leuven (Belgium) from 2018 to 2019, and a Postdoctoral Researcher at the National University of Singapore (2017-2018) and Technical University of Berlin (2014-2016). Dr. Wei has developed expertise in robust filtering and nonlinear control systems, especially in multi-agent systems, robotics, and industrial process control. Additionally, his academic leadership includes serving as a reviewer and editorial board member for several top journals in his field, further contributing to the academic community. Dr. Wei’s extensive international experience and leadership in academia make him a pivotal figure in his research areas.

🏅 Awards and Honors 

Dr. Yanling Wei has been recognized for his outstanding contributions to the field of control systems and robotics with numerous prestigious awards. In 2024, he received the “Outstanding Supervisor of Undergraduate Thesis” award in Jiangsu Province, China. He was also named one of the “Outstanding Engineers of Jiangsu Province” in 2023. Dr. Wei’s excellence in research earned him the “Grand Prize of Mechanical Industry Science and Technology Progress Award” in 2022, alongside being recognized as one of the “Top 2% Scientists” globally by Stanford University. In 2021, he was honored as a “Highly Cited Researcher” by Clarivate, reflecting the significant impact of his publications. His recognition also includes the “Outstanding Reviewer” award from IEEE Transactions on Cybernetics in 2016. These honors showcase Dr. Wei’s dedication to advancing control systems, robotics, and automation, establishing him as a leading researcher in these domains.

🔬 Research Focus 

Dr. Yanling Wei’s research focus lies at the intersection of robotics, automation, and control systems, with a particular emphasis on robust filtering and estimation. His work has contributed significantly to the development of novel approaches for intelligent control and decision-making in nonlinear and multi-agent systems. He is particularly known for his pioneering work on the integration of machine learning techniques in robotics and automation. Dr. Wei’s research addresses complex issues in industrial process control, robotics, and ball screw drive systems, aiming to improve system reliability and performance under uncertainties. His studies in intelligent control systems and decision-making models for industrial applications have had a transformative impact on fields ranging from robotics to energy management. Dr. Wei’s interdisciplinary approach, blending advanced control techniques with artificial intelligence, continues to influence cutting-edge research and practical applications in automation and robotics.

✅ Conclusion

Given Dr. Wei’s exemplary body of work, global recognition, and leadership in advancing automation, robotics, and control systems, he is undoubtedly a highly suitable candidate for the Best Researcher Award. His sustained contributions to cutting-edge research, combined with his commitment to academic excellence and mentoring, make him a deserving nominee. His impact in the field of automation, particularly in the application of robust control methods, ensures his place as a leading figure in his domain.

Publication

Dynamic sliding mode control for ball screw drive systems under a disturbance observer scheme

Authors: Y. Wei, S. Zhang, Y. Chen, H.R. Karimi

Year: 2025

An Improved Bilevel Algorithm Based on Ant Colony Optimization and Adaptive Large Neighborhood Search for Routing and Charging Scheduling of Electric Vehicles

Authors: Z. Li, Y. Wei, J. Park

Year: 2025

Multi-Encoder Spatio-Temporal Feature Fusion Network for Electric Vehicle Charging Load Prediction

Authors: Y. Chen, M. Wang, Y. Wei, X. Huang, S. Gao

Citations: 1

Year: 2024

Charging Path Planning for Electric Vehicles Based on Reinforcement Learning Environment Design Strategy

Authors: Y. Song, Y. Chen, Y. Wei, S. Gao

Citations: 1

Year: 2024

Constraint-Following Based Adaptive Robust Control for Underactuated Mechanical Systems

Authors: C. Wei, Y. Chen, Y. Wei

 

 

 

Weidong Jiao | Intelligent Fault Diagnosis | Best Researcher Award

Published on by Young Scientists Awards

Weidong Jiao | Intelligent Fault Diagnosis | Best Researcher Award

Prof. Dr, Assistant Professor, Zhejiang Normal University China

WEIDONG JIAO,  is a professor specializing in mechanical engineering. He has extensive experience in smart testing, signal processing, mechanical dynamics, and fault diagnosis of mechanical equipment. He has published over 100 research articles and holds around 20 patents. Currently, he is a professor at Zhejiang Normal University and serves as an editor for the Journal of Vibration, Measurement & Diagnosis.

Profile

Scopus

🎓 Education 

He earned his B.E. in Safety Engineering (1992) and M.E. in Mechanical Engineering (2001) from Gansu University of Technology. He completed his Ph.D. in Mechanical Engineering at Zhejiang University in 2004.

🏆 Experience 

He was a professor at Jiaxing University (2004–2009) and has been a professor at Zhejiang Normal University since 2013.

🏅 Awards and Honors 

He has received numerous accolades for his contributions to mechanical engineering, including recognition for his research in fault diagnosis and signal processing.

🔬 Research Focus 

His research interests include smart test and signal processing, mechanical dynamics, condition monitoring, and fault diagnosis of mechanical equipment

🔍Conclusion

Dr. Mohammad Rafi is a highly qualified and accomplished researcher with a strong academic foundation, innovative research contributions, and leadership in education and training. His work in sustainable construction materials aligns with global research priorities, making him a deserving candidate for the Young Scientist Award. Strengthening his research impact and expanding international collaborations will further solidify his standing as an influential researcher in the field.

Publication

  1. Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

    • Year: 2025
    • Authors: X. Chen, Xiaohao; J. Sun, Jianfeng; M. Li, Miao; Y. Jiang, Yonghua; J. Hu, Junxiong
    • Citations: 0

 

  1. Deep learning in industrial machinery: A critical review of bearing fault classification methods

    • Year: 2025
    • Authors: A.U. Rehman, Attiq Ur; W. Jiao, Weidong; Y. Jiang, Yonghua; K. Ur Rehman, Khalil; Y. Chi, Yongwei
    • Citations: 0

 

  1. Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

    • Year: 2025
    • Authors: Y. Jiang, Yonghua; Z. Qiu, Zengjie; L. Zheng, Linjie; J. Sun, Jianfeng; Z. Xuan, Zhongyi
    • Citations: 1

 

  1. Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

    • Year: 2025
    • Authors: Z. Dong, Zhilin; Y. Jiang, Yonghua; W. Jiao, Weidong; X. Wang, Xin; K. Zhang, Kun
    • Citations: 0

 

  1. Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

    • Year: 2025
    • Authors: Y. Jiang, Yonghua; Y. He, Yian; Z. Shi, Zhuoqi; C. Tang, Chao; W. Jiao, Weidong
    • Citations: 0

 

  1. Numerical Investigation into the Variation Mechanism of Hunting Frequency in Railway Wheelset System

    • Year: [Not specified]
    • Authors: J. Sun, Jianfeng; X. Wu, Xingwen; W. Jiao, Weidong; S.J. E, Shiju Ju; A. Ur Rehman, Attiq
    • Citations: 0

 

  1. A novel wheel wear indicator in regard to wheel-rail contact parameters and vehicle hunting stability

    • Year: 2025
    • Authors: H. Gao, Hongxing; J. Sun, Jianfeng; X. Chen, Xiaohao; W. Xu, Wanxiu; X. Jin, Xuesong
    • Citations: 0

 

  1. Novel imbalanced multi-class fault diagnosis method using transfer learning and oversampling strategies-based multi-layer support vector machines (ML-SVMs)

    • Year: 2024
    • Authors: J. Wei, Jian’an; H. Chen, Hualin; Y. Yuan, Yage; L. Wen, Long; W. Jiao, Weidong
    • Citations: 3

 

  1. SPRout-DBN: a cross domain bearing fault diagnosis method based on spatial pyramid pooling residual network-DBN

    • Year: 2024
    • Authors: D. Lin, Daxuan; W. Jiao, Weidong; Z. Dong, Zhilin; Y. Jiang, Yonghua; J. Sun, Jianfeng
    • Citations: 0

 

  1. MSTKernel Net: a rolling bearing intelligent diagnosis framework based on short-time time-frequency convolution

  • Year: 2024
  • Authors: H. Pan, Huilin; W. Jiao, Weidong; Z. Dong, Zhilin; J. Sun, Jianfeng; Y. Jiang, Yonghua
  • Citations: 1

 

 

 

 

Yasir Bashir | Geophysics | Best Researcher Award

Published on by Young Scientists Awards

Dr.Yasir Bashir | Geophysics | Best Researcher Award

Assistant Professor at Istanbul Technical University, Turkey

Dr. Yasir Bashir is a highly experienced geoscientist with over 10 years in research, teaching, and industrial projects related to exploration geophysics. With expertise in seismic data processing, imaging, and machine learning, he has contributed to numerous high-impact projects in partnership with companies like PETRONAS, Hitachi, and OGDCL. He currently serves as an Assistant Professor in the Department of Geophysical Engineering at İstanbul Technical University, where he leads research teams focused on advanced seismic imaging algorithms and machine learning in the Oil & Gas sector. Dr. Bashir’s academic background includes a Ph.D. in Petroleum Geoscience and multiple international publications and presentations. He is also dedicated to mentoring students and developing specialized academic programs in geophysics. His passion for problem-solving and leadership in diverse teams has earned him recognition across the industry and academia.

Profile

Orcid

Scopus

🎓 Education 

Dr. Yasir Bashir holds a Ph.D. in Petroleum Geoscience, with a focus on exploration geophysics. He completed his advanced studies at prominent institutions, gaining significant expertise in seismic data processing, machine learning applications, and geophysical imaging. His academic journey equipped him with a solid foundation in developing innovative algorithms for subsurface data analysis and seismic inversion workflows. He further honed his technical and leadership skills through various research projects and collaborations with leading organizations like PETRONAS and OGDCL. Throughout his career, Dr. Bashir has participated in numerous professional development programs, adding to his vast knowledge base and refining his research methodologies. His contributions to education include designing advanced courses in Geophysics, such as “Machine Learning in Geophysics” and “Partial Differential Equations for Exploration Geophysics.” His ongoing commitment to education and research continues to foster the development of new methodologies and innovations in the geophysics field.

🏆 Experience 

Dr. Yasir Bashir has over a decade of professional experience, blending industrial projects, teaching, and research in exploration geophysics. He is currently an Assistant Professor at İstanbul Technical University, leading research in advanced seismic imaging and machine learning applications in the Oil & Gas industry. Previously, he held roles as Senior Lecturer at the University of Science Malaysia and as a Research Scientist at PETRONAS, where he led multi-disciplinary teams in seismic imaging and hydrocarbon prediction. His work has focused on seismic anisotropy imaging, diffraction imaging, and developing machine learning algorithms for seismic inversion. Dr. Bashir’s professional career includes leadership in multiple research projects, such as seismic computing and hydrocarbon prediction, which led to several journal publications and international conference presentations. He has mentored and guided numerous Ph.D., MSc, and undergraduate students in geophysical research and has been recognized for his innovative contributions to seismic data processing and analysis.

🏅 Awards and Honors 

Dr. Yasir Bashir has received several prestigious awards and recognitions throughout his academic and professional career. He earned an award for creating the best online teaching course on the OpenLearning platform, reflecting his dedication to educational excellence. His research has been supported by various funding sources, including the FRGS grants from the Ministry of Higher Education and industry grants for near-surface characterization studies. Dr. Bashir has also been recognized with multiple industry accolades for his groundbreaking work in seismic imaging and machine learning applications. Additionally, his significant contributions to the geophysics field have led to his membership in prestigious organizations, including SEG, EAGE, and AAPG. His innovative work in seismic inversion, machine learning, and hydrocarbon prediction has earned him international recognition. Dr. Bashir is also honored to have served as a mentor and leader in multidisciplinary research teams, shaping the future of exploration geophysics.

🔬 Research Focus 

Dr. Yasir Bashir’s research focuses on developing advanced seismic imaging methodologies, with a particular emphasis on integrating machine learning techniques to enhance subsurface data analysis. His work aims to improve seismic data processing, inversion workflows, and imaging quality, particularly in challenging geological environments. Dr. Bashir has pioneered research in seismic anisotropy imaging, diffraction imaging, and the application of deep learning algorithms for hydrocarbon prediction and subsurface characterization. His work combines traditional geophysical methods with emerging technologies, such as artificial intelligence, to enhance the resolution of seismic data and facilitate more accurate interpretation of subsurface structures. Additionally, he is exploring hybrid methodologies for seismic inversion and re-imaging legacy datasets, with a goal of improving subsurface resolution. His ongoing research aims to optimize the use of machine learning and artificial intelligence to solve complex problems in oil and gas exploration, contributing to more efficient and effective resource management.

✅ Conclusion

Dr. Yasir Bashir stands out as an ideal candidate for the “Best Researcher Award” due to his substantial contributions to geophysics, his innovative application of machine learning in seismic imaging, and his proven leadership in both academic and industrial research. His ability to tackle complex geophysical problems and his commitment to advancing the field make him highly deserving of this prestigious recognition.

Publication

3D geo-seismic data enhancement leveraging geophysical attributes for hydrocarbon prospect and geological illumination

Authors: Y. Bashir, D.N. Akdeniz, D. Balci, A. Karaman, C. Imren

Citations: 1

Year: 2025

Reconstruction of subsurface potential hydrocarbon reservoirs through 3D seismic automatic interpretation and attribute analysis

Authors: Y. Bashir, B.D. Kemerli, T. Yılmaz, E.C. Göknar, E. Korkmaz

Citations: 3

Year: 2024

Improved reservoir characterization of thin beds by advanced deep learning approach

Authors: U. Manzoor, M. Ehsan, M. Hussain, Y. Bashir

Citations: 4

Year: 2024

Integrated analysis of wireline logs analysis, seismic interpretation, and machine learning for reservoir characterisation: Insights from the late Eocene McKee Formation, onshore Taranaki Basin, New Zealand

Authors: J. Oluwadamilola Olutoki, N.A. Siddiqui, A.K.M. Eahsanul Haque, Y. Bashir, M.A.K. El-Ghali

Citations: 7

Year: 2024

A novel machine learning approach for interpolating seismic velocity and electrical resistivity models for early-stage soil-rock assessment

Authors: M.D. Dick, A.A. Bery, N.N. Okonna, Y. Bashir, A.S. Akingboye

Citations: 4

Year: 2024

New technologies for seismic resolution enhancement and bandwidth expansion: Applications in SE Asian Basin

Authors: Y. Bashir, A.H. Abdul Latiff, M. Sajid

Citations: 1

Year: 2024