Eliya Kumwenda | Environmental Science | Innovative Research Award

Published on by Academic Achievements

Innovative Research Award

Eliya Kumwenda
Malawi University of Business and Applied Sciences, Malawi

Eliya Kumwenda
Affiliation Malawi University of Business and Applied Sciences
Country Malawi
ORCID ID 0009-0003-2102-4968
Documents 2
Subject Area Environmental Science
Event International Academic Achievements & Awards

Eliya Kumwenda is an academic and research professional affiliated with the Malawi University of Business and Applied Sciences in Malawi, with a documented research profile in Environmental Science. The supplied record identifies two scholarly documents and an ORCID identifier, providing a basis for distinguishing the researcher and organizing available scholarly information. [1] [2]

Abstract

The Innovative Research Award profile presents Eliya Kumwenda as a researcher working within Environmental Science at the Malawi University of Business and Applied Sciences. The supplied academic information records two scholarly documents and a persistent ORCID identifier. [1] [2] The profile focuses on documented research activity and provides a structured account without attributing specific findings that have not been supplied or independently verified.

Keywords

Eliya Kumwenda; Innovative Research Award; Environmental Science; Malawi University of Business and Applied Sciences; environmental research; scholarly publications; research innovation; ORCID; academic recognition.

Introduction

Environmental Science integrates scientific approaches to understanding environmental systems, resources, pollution, ecological processes, and interactions between human activity and the natural environment. Research in this field can contribute to evidence-based approaches to environmental monitoring, resource management, sustainability, and public decision-making. Persistent researcher identifiers such as ORCID help distinguish individual researchers and connect their scholarly contributions across research information systems. [2]

Research Profile

The supplied profile associates Eliya Kumwenda with the Malawi University of Business and Applied Sciences and identifies Environmental Science as the principal subject area. Two scholarly documents are recorded in the supplied research information. Such bibliographic information provides a starting point for documenting research activity, while detailed evaluation requires examination of individual publications, research methods, collaborations, and relevant scholarly evidence. [1]

Research Contributions

The available information establishes research activity in Environmental Science but does not provide sufficient publication-level detail to identify particular discoveries, datasets, technologies, methodologies, or environmental interventions. A responsible academic profile therefore distinguishes documented research activity from conclusions about specific scientific contributions. Where supporting publications are available, contribution assessment may consider originality, methodological rigor, relevance to environmental challenges, reproducibility, collaboration, and potential application.

Publications

The supplied record identifies two scholarly documents associated with the researcher. Individual titles, publication dates, citation counts, journal information, and DOI identifiers were not included in the available input. Consequently, no specific article or DOI is attributed to Eliya Kumwenda without a verified bibliographic source. DOI records can be used to identify and resolve persistent identifiers when a publication DOI is known. [3]

Research Impact

Research impact can be considered through several forms of scholarly and practical evidence, including citations, dissemination, collaboration, methodological adoption, knowledge generation, and contributions to environmental understanding. The supplied profile confirms two documents but does not provide verified citation or h-index information. Accordingly, this page does not assign an unsupported quantitative impact measure. ORCID registration provides an additional mechanism for persistent researcher identification and attribution. [2]

Award Suitability

The Innovative Research Award profile corresponds to the supplied information concerning Eliya Kumwenda’s research activity in Environmental Science. The documented record of two scholarly documents and an identifiable ORCID profile provides verifiable elements for an academic recognition profile. [1] [2] Any final assessment should be based on the award’s applicable criteria and the supporting academic documentation submitted for review.

Conclusion

Eliya Kumwenda is presented as an Environmental Science researcher affiliated with the Malawi University of Business and Applied Sciences. The supplied profile records two scholarly documents and the ORCID identifier 0009-0003-2102-4968. Further assessment of research outcomes, publication impact, and specific innovations should rely on verified publication records and supporting evidence.

References

  1. Elsevier. (n.d.). Assessment of Heavy Metals and Microbial Contamination in Soil and Groundwater around Zomba Dumpsite, Malawi.
    https://www.researchsquare.com/article/rs-8305363/v1
  2. ORCID. (n.d.). ORCID: Connecting research and researchers. ORCID.
    https://orcid.org/0009-0003-2102-4968
  3. International DOI Foundation. (n.d.). DOI System. Integrated Assessment of Potentially Toxic Elements and Microbial Contamination in Soil and Groundwater Around a Municipal Solid Waste Dumpsite in Zomba, Malawi.
    https://www.mdpi.com/2673-4672/6/3/51
  4. Malawi University of Business and Applied Sciences. (n.d.). Institutional academic and research information. Malawi University of Business and Applied Sciences.

Daniel Kwame Oware Asamoah | Environmental Science | Young Scientist Award

Published on by Academic Achievements

Young Scientist Award

Daniel Kwame Oware Asamoah
Kwame Nkrumah University of Science and Technology, Ghana

Daniel Kwame Oware Asamoah
Affiliation Kwame Nkrumah University of Science and Technology
Country Ghana
Scopus ID 59929054800
Documents 3
Citations 1
h-index 1
Subject Area Environmental Science
Event International Academic Achievements & Awards
ORCID 0009-0007-7887-8496

The Young Scientist Award recognizes emerging researchers whose scholarly work demonstrates developing expertise, methodological relevance, and meaningful engagement with contemporary scientific challenges. Daniel Kwame Oware Asamoah of the Kwame Nkrumah University of Science and Technology is associated with environmental research addressing solid waste operations, environmental noise, wastewater quality, and regulatory compliance. His recent publications examine environmental conditions within urban and institutional settings in Ghana and contribute evidence relevant to sustainable management and public environmental protection.[1]

Abstract

Daniel Kwame Oware Asamoah’s research profile is situated within Environmental Science and reflects an interest in applied environmental assessment. His published work addresses municipal solid waste collection, environmental noise associated with social activities, and the physicochemical, microbial, and heavy-metal characteristics of academic laboratory wastewater. These studies use measurable environmental indicators to support evidence-based discussion of operational practices, exposure conditions, and regulatory compliance.[1][2][3]

Keywords

Environmental Science; solid waste management; environmental noise; wastewater quality; heavy metals; microbial assessment; regulatory compliance; Ghana.

Introduction

Environmental management requires reliable information concerning the generation, movement, monitoring, and control of pollutants. Urban waste services, community noise, and institutional wastewater are interconnected areas in which local evidence can inform planning and environmental governance. The researcher’s work considers these issues within Ghanaian settings and emphasizes the value of systematic environmental characterization.[1]

Research Profile

The research profile combines field-oriented environmental investigation with laboratory-based quality assessment. Topics represented in the publication record include solid waste collection activities in Oforikrom Municipality, noise levels at social events in Kumasi Metropolis, and wastewater characteristics in academic laboratories. The profile is interdisciplinary in application while remaining centered on environmental monitoring and management.[2][3]

Research Contributions

  • Assessment of operational activities associated with municipal solid waste collection.
  • Evaluation of environmental noise levels at social events within Kumasi Metropolis.
  • Characterization of physicochemical, microbial, and heavy-metal indicators in laboratory wastewater.
  • Consideration of measured environmental conditions in relation to applicable regulatory standards.

Publications

Research Impact

The available Scopus record lists three documents, one citation, and an h-index of one. These indicators provide a limited quantitative snapshot and should be interpreted alongside research quality, topical relevance, publication context, and the continuing development of the researcher’s academic work. The studies contribute locally grounded evidence that may support future environmental monitoring and management research.[4]

Award Suitability

The Young Scientist Award is suitable for recognizing developing researchers who demonstrate focused scholarly activity and emerging contributions within their discipline. The publication record reflects engagement with practical environmental concerns, including waste services, noise exposure, and wastewater compliance. The work is relevant to the objectives of the International Academic Achievements & Awards program and supports recognition based on research development and academic potential.

Conclusion

Daniel Kwame Oware Asamoah’s research demonstrates an emerging environmental science profile characterized by applied assessment and Ghana-focused investigation. His work addresses measurable environmental conditions across municipal, community, and academic contexts. Recognition through the Young Scientist Award acknowledges the continuing development of this scholarly trajectory and its relevance to environmental quality, management, and evidence-informed practice.

References

  1. Springer Nature. (2026). Solid waste collection operation activities in Oforikrom Municipality in the Ashanti Region, Ghana. Discover Environment.
    https://doi.org/10.1007/s44274-026-00899-7
  2. Springer Nature. (2026). Assessing noise levels at social events within Kumasi Metropolis, Ghana. Scientific Reports.
    https://doi.org/10.1038/s41598-026-61794-y
  3. Wiley. (2026). Characterization of Physicochemical, Microbial, and Heavy Metal Profiles in Academic Laboratory Wastewater: Compliance With EPA Regulatory Standards. Environmental Quality Management.                                                                      https://doi.org/10.1002/tqem.70427
  4. Elsevier. (n.d.). Scopus author details: Daniel Kwame Oware Asamoah, Author ID 59929054800. https://www.scopus.com/authid/detail.uri?authorId=59929054800

Shuyao Wang | Environmental Science | Women Researcher Award

Published on by Academic Achievements

Women Researcher Award

Shuyao Wang
Affiliation McGill University
Country Canada
Scopus ID 57191283001
Documents 33
Citations 1,662
h-index 17
Subject Area Environmental Science
Event International Academic Achievements & Awards
ORCID 0000-0001-8825-1573

Shuyao Wang
Institution: McGill University, Canada

The Women Researcher Award recognizes outstanding scientific achievement, sustained scholarly excellence, and meaningful contributions to research and innovation. Shuyao Wang has developed an internationally recognized research portfolio in environmental science, sustainable biomaterials, food packaging technologies, biodegradable polymers, and tissue engineering. Her publications emphasize environmentally responsible material design, advanced polymer composites, antimicrobial packaging systems, and bio-based functional materials, reflecting significant contributions to both academic research and practical applications.[1]

Abstract

Shuyao Wang’s research integrates environmental science, polymer engineering, nanotechnology, and sustainable biomaterials to develop biodegradable food packaging materials and biomedical scaffolds. Her work emphasizes renewable polymers, antimicrobial films, electrospinning technologies, nanocomposites, and environmentally friendly packaging systems that improve food preservation, material functionality, and sustainability. Her scientific contributions have attracted substantial international recognition, reflected by a strong publication record and significant citation impact.[2]

Keywords

Environmental Science, Biodegradable Packaging, Chitosan Films, Food Preservation, Electrospinning, Nanocomposite Materials, Biopolymers, Tissue Engineering

Introduction

Growing environmental concerns have accelerated research into sustainable packaging materials and biodegradable polymers. Shuyao Wang has contributed to this field by developing multifunctional biomaterials that combine environmental sustainability with enhanced antimicrobial performance, improved preservation efficiency, and advanced biomedical functionality. Her interdisciplinary research bridges environmental science, materials engineering, polymer chemistry, and food technology.[3]

Research Profile

  • Affiliated with McGill University, Canada.
  • Primary research area: Environmental Science.
  • Research interests include biodegradable polymers and sustainable food packaging.
  • Extensive work on chitosan-based composite materials.
  • Studies integrating nanotechnology with functional biomaterials.
  • Scopus metrics include 33 indexed publications, 1,662 citations, and an h-index of 17.

Research Contributions

Her research has significantly advanced biodegradable food packaging through antimicrobial polymer films, nanofiber fabrication, electrospinning technologies, composite scaffolds for tissue engineering, and multifunctional packaging materials incorporating nanoparticles and natural extracts. These studies demonstrate practical innovations that improve food safety, extend shelf life, and promote environmentally sustainable packaging solutions while contributing to biomedical material development.[4]

Publications

  • Fabrication of antibacterial chitosan-PVA blended film using electrospray technique for food packaging applications. International Journal of Biological Macromolecules, 107, 848-854 (2018). DOI:
    https://doi.org/10.1016/j.ijbiomac.2017.09.043
  • Development of red apple pomace extract/chitosan-based films reinforced by TiO₂ nanoparticles as a multifunctional packaging material. International Journal of Biological Macromolecules, 168, 105-115 (2021). DOI:
    https://doi.org/10.1016/j.ijbiomac.2020.11.115
  • Composite poly(lactic acid)/chitosan nanofibrous scaffolds for cardiac tissue engineering. International Journal of Biological Macromolecules, 103, 1130-1137 (2017). DOI:
    https://doi.org/10.1016/j.ijbiomac.2017.05.147
  • Developing poly(vinyl alcohol)/chitosan films incorporated with d-limonene: Structural, antibacterial, and fruit preservation properties. International Journal of Biological Macromolecules, 145, 722-732 (2020). DOI:
    https://doi.org/10.1016/j.ijbiomac.2019.12.192
  • Fabrication of polylactic acid/carbon nanotubes/chitosan composite fibers by electrospinning for strawberry preservation. International Journal of Biological Macromolecules, 121, 1329-1336 (2018). DOI:
    https://doi.org/10.1016/j.ijbiomac.2018.10.088

Research Impact

Shuyao Wang has authored 33 Scopus-indexed publications with more than 1,662 citations and an h-index of 17. These scholarly metrics demonstrate sustained scientific influence in environmental science, biodegradable materials, sustainable packaging technologies, and biomaterial engineering. Her research has been widely cited across polymer science, food engineering, biomedical engineering, and environmental sustainability literature.[1]

Award Suitability

The Women Researcher Award recognizes scientific leadership, originality, measurable research impact, interdisciplinary collaboration, and contributions that advance knowledge while addressing societal challenges. Shuyao Wang’s internationally cited research, innovative biomaterial development, and sustained contributions to sustainable environmental technologies align well with the objectives of this academic recognition.

Conclusion

Shuyao Wang has established a distinguished academic profile through impactful research in environmental science, sustainable polymers, biodegradable packaging, and biomaterials. Her publication record, strong citation performance, interdisciplinary research, and practical innovations demonstrate meaningful contributions to sustainable material science and environmental engineering, making her an appropriate candidate for recognition through the Women Researcher Award.

References

  1. Elsevier. (n.d.). Scopus author details: Shuyao Wang, Author ID 57191283001. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57191283001
  2. Liu Y., Wang S., Lan W. (2018). Fabrication of antibacterial chitosan-PVA blended film using electrospray technique for food packaging applications. International Journal of Biological Macromolecules.
    https://doi.org/10.1016/j.ijbiomac.2017.09.043
  3. Lan W., Wang S. et al. (2021). Development of red apple pomace extract/chitosan-based films reinforced by TiO₂ nanoparticles as a multifunctional packaging material.https://doi.org/10.1016/j.ijbiomac.2020.11.115
  4. Liu Y., Wang S., Zhang R. (2017). Composite poly(lactic acid)/chitosan nanofibrous scaffolds for cardiac tissue engineering.
    https://doi.org/10.1016/j.ijbiomac.2017.05.147

Elvis Mawodzeke | Environmental Science | Research Excellence Award

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Research Excellence Award

Elvis Mawodzeke
Affiliation University of Kwa-Zulu Natal
Country South Africa
ORCID 0009-0009-3248-9385
Documents 3
Subject Area Environmental Science
Event International Academic Achievements & Awards
Elvis Mawodzeke
University of KwaZulu-Natal, South Africa

Mawodzeke Elvis is an environmental science researcher specializing in geographical information systems (GIS), remote sensing technologies, drone-assisted environmental monitoring, and water resource assessment. His academic trajectory demonstrates interdisciplinary engagement between environmental science and spatial technologies, with research emphasizing advanced UAV-based monitoring approaches for riverine and reservoir systems. His work reflects emerging contributions toward sustainable environmental monitoring frameworks and geospatial analytics within water resource management disciplines [1].

Abstract

This academic recognition article presents the scholarly profile of Mawodzeke Elvis, an emerging environmental science researcher whose work integrates drone technologies, GIS platforms, remote sensing systems, and machine learning approaches for water resource monitoring. His educational progression from geography and environmental studies toward advanced environmental science research demonstrates a developing specialization in spatial environmental analytics and environmental sustainability applications [2].

Keywords

Environmental Science; GIS; Remote Sensing; Water Resources; UAV Monitoring; Drone Mapping; Machine Learning; River Monitoring; Spatial Analysis; Environmental Sustainability

Introduction

Environmental monitoring increasingly depends upon technological innovations capable of providing high-resolution spatial information. UAV-based remote sensing systems have become valuable tools for monitoring environmental processes, water bodies, and ecological dynamics. Mawodzeke Elvis contributes to this research landscape through investigations focused on drone-assisted water detection methodologies and environmental spatial assessment technologies [3].

Research Profile

Mawodzeke Elvis obtained a Bachelor of Science Honors degree in Geography and Environmental Studies from Midlands State University, Zimbabwe. He later pursued postgraduate research studies at the University of KwaZulu-Natal within environmental science and geography disciplines. His research activities emphasize drone technologies, environmental observation systems, machine learning applications, and water resource monitoring frameworks [2].

  • GIS and Remote Sensing Technologies
  • Drone-Based Environmental Assessment
  • Water Resource Monitoring
  • Machine Learning Applications in Environmental Science
  • Spatial and Temporal Environmental Analytics

Research Contributions

The research contributions associated with Mawodzeke Elvis primarily address environmental observation challenges through UAV-enabled methodologies. His scholarly activities investigate spatial resolution capabilities of drones in hydrological environments and the integration of machine learning techniques for environmental monitoring systems [4].

  • Drone-assisted river and dam water mapping
  • Machine learning integration with remote sensing
  • Small reservoir monitoring methodologies
  • Spatial-temporal environmental assessment

Publications

  1. Integrating UAV remote sensing and machine learning techniques to quantify water level fluctuations in small reservoirs (2026). DOI: 10.2139/ssrn.6626077
  2. Utility of UAV-borne sensors for detecting and mapping water levels in small water bodies: A systematic review of progress, opportunities and challenges (2026). DOI: 10.1016/j.rsase.2026.101973

Research Impact

The research direction pursued by Mawodzeke Elvis aligns with contemporary environmental monitoring priorities, particularly those related to water sustainability, climate resilience, and spatial environmental intelligence. The incorporation of UAV technologies into environmental systems contributes toward improving environmental decision-making capabilities and resource management practices.

Award Suitability

Based on demonstrated academic development, emerging publication output, environmental technology specialization, and interdisciplinary scientific contributions, Mawodzeke Elvis represents a developing researcher profile aligned with recognition categories emphasizing emerging research excellence, environmental innovation, and technological applications in sustainability sciences [3].

Conclusion

Mawodzeke Elvis demonstrates a research trajectory centered upon environmental sustainability and geospatial technologies. Through GIS methodologies, UAV systems, and water resource monitoring frameworks, his scholarly profile reflects contributions toward advancing environmental science research and technological innovation in environmental assessment applications.

References

  1. University of KwaZulu-Natal. Academic and research information provided within researcher profile documentation.
  2. Crossref Publication Record.
    https://doi.org/10.1016/j.rsase.2026.101973
  3. SSRN Preprint DOI Record.
    https://doi.org/10.2139/ssrn.6626077
  4. Environmental monitoring methodologies and remote sensing technologies referenced through researcher academic activities.

Norman Munkuli | Environmental Science | Best Researcher Award

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Best Researcher Award

Norman Munkuli
Affiliation Zimbabwe Parks and Wildlife Management Authority
Country Zimbabwe
Scopus ID 58499949800
Documents 2
Citations 12
h-index 1
Subject Area Environmental Science
Event International Academic Achievements and Awards

Norman Munkuli
Zimbabwe Parks and Wildlife Management Authority, Zimbabwe

Norman Munkuli is a Zimbabwean conservation professional and ecologist associated with the Zimbabwe Parks and Wildlife Management Authority. His work focuses on wildlife monitoring, ecological management, biodiversity conservation, environmental impact assessment, and the application of modern conservation technologies including drone surveillance and camera trapping systems. His research contributions emphasize ecosystem sustainability, species conservation, and protected area management in Zimbabwe and the greater Afrotropical region.[1]

Abstract

Norman Munkuli has contributed to wildlife conservation and ecological research through scientific investigations on biodiversity monitoring, illegal mining impacts, and species conservation in Zimbabwe. His professional experience within protected areas and scientific services demonstrates an integrated approach combining ecological fieldwork, wildlife monitoring technologies, and environmental management practices aimed at strengthening conservation outcomes across vulnerable ecosystems.[2]

Keywords

Wildlife Conservation, Ecology, Protected Area Management, Camera Trap Monitoring, Drone Surveillance, Biodiversity Conservation, Environmental Impact Assessment, Afrotropical Ecology, Zimbabwe Parks and Wildlife, Ecological Monitoring.

Introduction

The conservation of biodiversity within protected landscapes requires continuous ecological monitoring, scientific management, and adaptive conservation strategies. Norman Munkuli has developed expertise in wildlife management and ecological monitoring through practical conservation work in Zimbabwe’s protected areas. His contributions support sustainable ecosystem management and strengthen scientific understanding of wildlife populations and environmental threats within the Mid-Zambezi Valley landscape and surrounding ecosystems.[3]

Research Profile

Norman Munkuli holds academic qualifications in Wildlife and Protected Area Management and has served in multiple conservation-related roles within the Zimbabwe Parks and Wildlife Management Authority since 2009. His progression from wildlife monitoring ranger to ecologist reflects sustained engagement in ecological research, species monitoring, environmental protection, and conservation management. He has also undertaken specialized professional training in drone operations, camera trapping systems, SMART monitoring tools, and environmental impact assessments.[1]

Research Contributions

  • Conducted ecological investigations on biodiversity conservation and wildlife monitoring in protected landscapes.
  • Contributed to research assessing the environmental impacts of illegal artisanal mining activities within conservation areas.
  • Applied modern conservation technologies including drones and camera traps for ecological monitoring and species detection.
  • Supported protected area management initiatives through SMART monitoring systems and ecological supervision.
  • Participated in research documenting species conservation concerns within the Afrotropical ecosystem.

Publications

Norman Munkuli has contributed to peer-reviewed research in wildlife conservation, ecological monitoring, and environmental management. His publications address biodiversity conservation, impacts of illegal artisanal mining, and camera trap-based wildlife studies in Zimbabwe. These works support evidence-based conservation strategies and enhance scientific understanding of protected ecosystems within the Afrotropical region.

Research Impact

The research activities of Norman Munkuli contribute to practical conservation management and biodiversity protection in Zimbabwe. His studies provide scientific information relevant to wildlife conservation planning, environmental risk assessment, and ecosystem sustainability. Through the integration of ecological monitoring tools and conservation science, his work supports evidence-based environmental management within protected areas and ecologically sensitive landscapes.[2]

Award Suitability

Norman Munkuli demonstrates suitability for academic and conservation recognition through his combination of field-based ecological expertise, applied wildlife monitoring experience, and peer-reviewed scientific contributions. His involvement in conservation research, environmental management, and protected area monitoring reflects a multidisciplinary approach that aligns with international standards for ecological research and sustainable biodiversity conservation.[3]

Conclusion

Norman Munkuli has established a professional profile in wildlife conservation and ecological monitoring through scientific research, protected area management, and environmental stewardship. His contributions to biodiversity conservation, ecological assessment, and wildlife monitoring technologies support ongoing conservation initiatives in Zimbabwe and strengthen regional understanding of ecosystem sustainability and species protection.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Norman Munkuli, Author ID 58499949800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58499949800
  2. Chakuya, J., Munkuli, N., Mutema, C., & Gandiwa, E. (2023). An assessment of the impact of illegal artisanal gold mining on the environment in parts of Chewore Safari Area, Northern Zimbabwe. Environmental Research Communications, 5(7), 075005.
  3. Zimbabwe Parks and Wildlife Management Authority. Professional Conservation and Ecological Monitoring Activities.
  4. African Journal of Ecology. (2026). Temporal Stability in a Cryptic Afrotropical Migrant: Limited Evidence for Activity‐Driven Variation in the Angola Pitta (Pitta angolensis).
  5. International Academic Achievements and Awards Programming Information. https://academicachievements.org/

Qussay Hroub | Energy | Young Researcher Award

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Dr. Qussay Hroub | Energy | Young Researcher Award

National Engineering School of Sfax | Palestine, State of

Dr.-Eng. Qussay Hroub is a Mechanical Engineer specializing in solar thermal energy systems, with a strong focus on concentrated solar thermal (CST) technologies. He earned his Ph.D. with distinction from the National School of Engineers, University of Sfax, Tunisia, where his research advanced the efficiency of linear Fresnel solar collectors for medium-temperature applications. His work integrates computational fluid dynamics (CFD), heat transfer analysis, and experimental validation to optimize renewable energy systems. Dr. Hroub has authored four peer-reviewed publications, including first-author contributions in reputable journals, and has presented his research at major international conferences such as EUROMAGH and EUROSUN. In addition to research, he has experience in academia and industry, mentoring students and optimizing thermal systems. His work contributes to sustainable energy development and supports global efforts toward clean and efficient solar technologies.

 

Citation Metrics (Scopus)

16

12

8

4

0

Citations
9

Documents
4

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

Featured Publications

Evidence for evolution of canine parvovirus type 2 in Italy
– Journal of General Virology (2001) | Citations: 854

A hybrid CFD model for PTC Systems: Integrating transient analysis
– Thermal Science and Engineering Progress (2025)
CFD Simulation and Experimental Study of a Parabolic Trough Collector Alternative
– International Renewable Energy Congress (2022) | Citations: 1

 

Maham Riaz | Environmental | Best Researcher Award

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Ms. Maham Riaz | Environmental | Best Researcher Award

Ms. Maham Riaz | Environmental | Researcher at University of Agriculture Faisalabad | Pakistan

Ms. Maham Riaz is an emerging researcher and Laboratory Technician at the Postgraduate Agricultural Research Station, Faisalabad, Pakistan, recognized for her dedication to advancing aquatic toxicology and environmental zoology. She holds a Master of Philosophy in Zoology from the University of Agriculture, Faisalabad, with an exceptional CGPA of 3.89/4.00, where her thesis, “Evaluation of Toxic Effects of Benzophenone on Histopathology of Major Carps,” supervised by Associate Professor Dr. Sajid Abdullah, contributed valuable insights into fish physiology and pollutant impact assessment. She earned her Bachelor of Science in Zoology from Government College Women University, Faisalabad, graduating with a CGPA of 3.81/4.00. Professionally, Ms. Riaz has developed strong laboratory expertise, including sample preparation, microscopy, histological analysis, and spectrophotometry, and she demonstrates proficiency in experimental design and statistical data analysis using Minitab and Statistix 8.1. Her research interests encompass aquatic toxicology, environmental pollutants, fish histopathology, and biosafety, with a growing focus on ecological risk assessment of emerging contaminants. Ms. Riaz has contributed to several peer-reviewed articles and book chapters in reputed scientific outlets such as Toxicology Reports and Turkish Journal of Zoology, addressing contemporary environmental challenges like benzophenone toxicity and ocean acidification. She has also presented her research at national zoological conferences and contributed to multidisciplinary book projects published by Unique Scientific Publishers. Her honors include the Ehsaas Undergraduate Scholarship and the PEEF Master Level Scholarship awarded for outstanding academic performance. Beyond academics, she has volunteered in community service initiatives such as fundraising for Shaukat Khanum Memorial Hospital and creative graphic design for the Volunteer Leading Governance society. Through her strong academic foundation, technical skills, and dedication to research excellence, Ms. Maham Riaz continues to contribute meaningfully to the fields of zoology and environmental toxicology.

Profile: Google Scholar

Featured Publications 

  1. Riaz, M., Abdullah, S., Jamil, M., Rasheed, A., Sheikh, U., Fatima, M., Umer, N., & Aslam, K. (2025). Evaluation of toxic effects of benzophenone on histopathology of Labeo rohita. Toxicology Reports, 14, 101914. (Citations: 12)

  2. Jamil, M., Abdullah, S., Riaz, M., & Aziz, S. (2025). Ecological assessment of a sunscreen-derived pollutant, Benzophenone-2, on freshwater fish (Labeo rohita). Turkish Journal of Zoology. (Citations: 8)

  3. Riaz, M., Abdullah, S., Khalil, Z., Jamil, M., Fatima, W., Rasheed, A., Fatima, M., & Gulshan, S. (2025). Impact of ocean acidification on fish health and marine ecosystem dynamics. In Holistic Health: Diseases Across Life: From Humans to Land and Sea (pp. 156–162). Unique Scientific Publishers. (Citations: 6)

  4. Hafeez, M., Abdullah, S., Jamil, M., & Riaz, M. (2025). Biosafety measures for public health: Challenges and strategies. In Holistic Health: One Health Horizons (pp. 164–169). Unique Scientific Publishers. (Citations: 4)

  5. Jamil, M., Abdullah, S., Riaz, M., Mustafa, M., & Shakeel, M. (2025). Personal care products: Ecological and human risk assessment. In Holistic Health: One Health in a Changing World (pp. 271–275). Unique Scientific Publishers. (Citations: 5)

  6. Riaz, M., Abdullah, S., & Fatima, M. (2024). Histopathological biomarkers in fish as indicators of aquatic pollution. Environmental Biology Journal, 38(2), 45–52. (Citations: 10)

  7. Riaz, M., & Abdullah, S. (2024). Fish toxicology and environmental risk analysis of benzophenone derivatives. Asian Journal of Aquatic Sciences, 12(1), 23–30. (Citations: 9)

 

Menglin Dai | Resources | Best Researcher Award

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Dr. Menglin Dai | Resources | Best Researcher Award

Dr. Menglin Dai, Resources at Peking University, China

Menglin Dai is a researcher specializing in applied computer vision for stock modeling, currently working as a postdoctoral researcher at Peking University. Menglin earned a PhD from the University of Sheffield, focusing on characterizing English residential housing using street view imagery and deep learning techniques. Their doctoral research involved developing deep learning models to automatically recognize building components and generate detailed building models, contributing to large-scale urban environment datasets. Menglin also holds a Master of Engineering (Hons.) degree in Civil Engineering from the University of Sheffield, where they graduated with distinction. Their academic and professional experience spans urban built environment modeling, structural engineering research, and hydraulic modeling. Menglin has contributed to several peer-reviewed journal articles and conferences, and serves as a reviewer for multiple scientific journals. They possess strong technical skills in programming and data analysis, including Python, Matlab, and various machine learning libraries.

Professional Profile:

Orcid

Google Scholar

Summary of Suitability for Best Researcher Award

Dr. Menglin Dai has demonstrated exceptional academic and research capabilities in the field of applied computer vision and sustainable urban infrastructure modeling. His doctoral work at the University of Sheffield focused on leveraging deep learning techniques to characterize English residential housing stock using street-view imagery, a novel and impactful contribution to the fields of civil engineering, data science, and urban planning. His postdoctoral research at Peking University further extends this work, incorporating advanced machine learning techniques to develop high-resolution models of built environment material stock, with international applications such as the Danish Built Environment Stock Model and contributions to the Global Secondary Resource Stocks Report.

🎓 Education

  • PhD in Applied Computer Vision for Stock Modelling
    University of Sheffield, UK (Sept 2018 – Mar 2023)
    Thesis: Characterising English Residential Housing Using Street View Capture and Deep Learning Techniques
    (Supervisors: Dr. Danielle Densley Tingley & Prof. Martin Mayfield-Tulip)

  • Master of Engineering (Hons.) in Civil Engineering (Distinction)
    University of Sheffield, UK (Sept 2013 – July 2017)
    Dissertation: The Effect of Connectors Behaviour on Cold-formed Steel Structural Elements
    (Supervised by Dr. Jurgen Becque)
    Awarded: Faculty Undergraduate Scholarship, Sheffield Undergraduate Research Experience (SURE) bursary, Sheffield Graduate Award

  • Foundation Year in Science and Engineering (Distinction)
    Sheffield International College, UK (Dec 2012 – Aug 2013)

💼 Work Experience & Research

  • Postdoctoral Researcher – High-Resolution Built Environment Stock Modelling
    Peking University, China (Mar 2023 – Present)
    • Developed ML methods for high-resolution building material stock characterization
    • Contributed to ‘Global Secondary Resource Stocks Report’ and Danish Built Environment Stock Model
    • Session chair, ISIE SEM/AP 2024 conference

  • PhD Researcher – Residential Building Feature Characterisation
    University of Sheffield, UK (Sept 2018 – Mar 2023)
    • Developed deep learning models for building component recognition from urban images
    • Automated LoD3-level building model generation from point cloud data

  • Researcher – Connector Behaviour on Structural Elements
    University of Sheffield, UK (June 2016 – May 2017)
    • Experimental and finite element modeling of cold-formed steel structural connectors
    • Developed post-processing algorithms for digital image correlation (DIC)

  • Graduate Teaching Assistant
    University of Sheffield, UK (Oct 2018 – June 2022)
    • Assisted tutorials and exam marking for engineering sustainability courses

  • Hydraulic Modeller Internship/Graduate Program
    RPS Group, UK (2016 & 2017)
    • Built hydraulic city models, site surveys, and data communication

🏆 Achievements & Awards

  • 🏅 Sheffield Graduate Award

  • 🎓 Faculty Undergraduate Scholarship for Academic Achievement

  • 🔬 Sheffield Undergraduate Research Experience (SURE) bursary

  • 🥇 Gold Duke of Edinburgh Award

  • 🎸 Level 10 Amateur Guitar Certificate

  • 🏔 Mount Kilimanjaro Certificate of Completion

  • 🚗 Driving License (China)

Publication Top Notes:

Residential building facade segmentation in the urban environment Cited: 66
A scalable data collection, characterization, and accounting framework for urban material stocks Cited: 51
Estimating energy consumption of residential buildings at scale with drive-by image capture Cited: 24
Component-level residential building material stock characterization using computer vision techniques Cited: 9
Scalable residential building geometry characterisation using vehicle-mounted camera system Cited: 7

Conclusion

Dr. Menglin Dai is an outstanding candidate for the Best Researcher Award, reflecting academic distinction, technical innovation, and global relevance. His pioneering work in AI-driven urban stock modeling, his high-impact publications, and his commitment to advancing research on sustainable built environments make him highly deserving of this recognition. Awarding Dr. Dai would honor not only his individual excellence but also highlight the future of data-driven sustainable development.