Dr. Jan Tesarik | Reproducción humana | Lifetime achievement Award

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Dr. Jan Tesarik | Reproducción humana | Lifetime achievement Award

Dr. Jan Tesarik , Reproducción humana ,  Director at MARGen Clinic, Spain

Dr. Jan Tesarik is a world-renowned reproductive endocrinologist and fertility expert with over four decades of groundbreaking work in assisted reproductive technologies (ART). He is credited with numerous scientific “firsts,” including the first successful Gamete Intra-Fallopian Transfer (GIFT) in 1982, and the first births via ROSI and ELSI. He pioneered the now-famous “3-parent-baby” nuclear transfer technique and contributed significantly to improving fertility outcomes using growth hormone therapy. Dr. Tesarik’s innovative research spans human reproduction, embryology, and gynecological imaging. With over 400 scientific publications, book chapters, and editorial roles, he has left an indelible mark on global reproductive medicine. He currently serves as the Director of MARGen Clinic in Granada, Spain, continuing to lead in fertility care and research.

Professional Profile

Scopus

🎓 Education

Dr. Tesarik obtained his MD degree in 1979 and subsequently completed a PhD in 1982, building a solid foundation in human reproductive biology. His training combined clinical medicine with molecular and developmental biology, preparing him for a distinguished career in assisted reproduction and embryology. He studied at Purkyne University in Brno, Czechoslovakia, a leading center for biological sciences at the time. His academic formation was enriched by international research and clinical collaborations, allowing him to innovate at the intersection of reproductive endocrinology, embryology, and molecular genetics. His continued dedication to education and knowledge-sharing is evident through his roles as editor, author, and mentor to many in the reproductive science field.

💼 Experience

Dr. Jan Tesarik’s professional journey spans academia, clinical innovation, and editorial leadership. He began his career at Purkyne University and later worked at the American Hospital of Paris, gaining both academic and clinical prestige. He is currently the Director of MARGen Clinic in Granada, Spain, where he combines cutting-edge fertility treatment with personalized patient care. Dr. Tesarik has led international research efforts, especially in gamete biology, embryo development, and fertility preservation. He has contributed key advances in ART, including ROSI, ELSI, and non-invasive virtual imaging techniques. His response to the COVID-19 pandemic included evaluating anti-COVID fertility-safe treatments. His active roles in Frontiers in  Reprofuctive Endocrinology, Frontiers in Reproductive Health, and IJMS as editor/associate editor showcase his continued influence in scientific discourse.

🔬 Research Interests

Dr. Tesarik’s research is centered on human fertility, specifically gamete interaction, fertilization, and embryo development. He pioneered reproductive breakthroughs such as ROSI and ELSI, providing hope for male infertility cases previously deemed untreatable. His development of nuclear transfer techniques laid the groundwork for the “3-parent baby” strategy, aimed at preventing mitochondrial diseases. He has extensively studied growth hormone’s role in improving oocyte quality and uterine receptivity, and more recently, examined COVID-19’s impact on fertility. His innovations in non-invasive imaging, such as virtual hysteroscopy and embryoscopy, have enhanced diagnostics in reproductive health. His multidisciplinary work links clinical medicine, molecular biology, and technology.

🏅 Awards

Dr. Tesarik’s achievements have earned him global recognition in the fields of reproductive medicine and molecular biology. Though not all individual honors are listed, his pioneering work in assisted reproduction, particularly GIFT, ROSI, and nuclear transfer, are themselves landmark contributions acknowledged across the scientific community. He serves on editorial boards of top-tier journals including Frontiers in Endocrinology, Frontiers in Reproductive Health, and IJMS, and is an Emeritus Editor for Reproductive Biomedicine Online. His recognition includes peer citations, invited keynote talks, and institutional affiliations reflecting the global impact of his work. Few researchers can claim such breadth—from first-in-human procedures to mentoring and leading international publications.

📚Top Noted  Publications

Sperm vacuoles negatively affect outcomes in intracytoplasmic morphologically selected sperm injection in terms of pregnancy, implantation, and live-birth rates

Citations: 19

Conclusion

In conclusion, Dr. Jan Tesarik is not only suitable but exemplary for the Lifetime Achievement Award. His pioneering discoveries, global impact on patient care, prolific publication record, and unwavering dedication to scientific advancement place him in the highest echelon of biomedical researchers. Honoring him with this award would be a tribute to a lifetime of extraordinary innovation, mentorship, and service to humanity through science.

Assist. Prof. Dr. TEKETEL GINDOSE | catalysis | Best Researcher Award

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Assist. Prof. Dr. TEKETEL GINDOSE | catalysis | Best Researcher Award

Assist. Prof. Dr. TEKETEL GINDOSE , catalysis,  Researcher at Addis Ababa Science and Technology University, Ethiopia

Dr. Teketel Girma Gindose is a highly motivated Ethiopian chemist specializing in inorganic chemistry and materials chemistry, particularly in nanotechnology applications for environmental remediation. With a strong academic background, he holds a Ph.D. in Inorganic Chemistry from Addis Ababa Science and Technology University (AASTU), where his work focused on developing zinc oxide-based nanocomposites for the degradation of organic pollutants. His career includes lectureships at Mizan-Tepi University and Wolkite University, where he contributed to teaching, mentoring, and research. Dr. Teketel is committed to advancing sustainable solutions through the synthesis of advanced materials for wastewater treatment. He is proficient in synthesis, characterization, and photocatalysis, and has published research in peer-reviewed journals. His multidisciplinary approach bridges chemistry, nanoscience, and environmental technology

Professional Profile

Orcid

🎓 Education

Dr. Teketel earned his Ph.D. in Inorganic Chemistry (2021–2025) from AASTU, focusing on zinc oxide-based heterojunction nanocomposites for photocatalytic degradation of methylene blue. His coursework included advanced inorganic, solid-state, and bioinorganic chemistry. He previously completed an M.Sc. in Inorganic Chemistry (2012–2016) from Haramaya University, where his thesis involved the synthesis of Ag₃PO₄-ZnO-Fe₂O₃ nanocomposites supported on zeolite for the photocatalytic degradation of methyl orange. His academic journey began with a Bachelor of Education (B.Ed.) in Chemistry from Dilla University, equipping him with foundational knowledge in physical, organic, and analytical chemistry. Dr. Teketel’s academic track shows consistent growth in nanomaterials, catalysis, and environmental applications.

💼 Experience

Dr. Teketel began his academic career as a Lecturer at Mizan-Tepi University (2016–2019), where he taught undergraduate chemistry and supervised research projects. He continued his academic journey as a Lecturer at Wolkite University (2020–2021), contributing to curriculum development and student mentoring. Since 2022, he has served as a Researcher at AASTU’s Center of Excellence in Nanotechnology, where he conducts advanced research on nanocomposites for wastewater treatment. His responsibilities include synthesis and characterization of functional materials for the removal of organic dyes and heavy metals from contaminated water. Dr. Teketel integrates research with real-world applications, reflecting his commitment to using science for environmental and societal benefit.

🔬 Research Interests

Dr. Teketel’s research centers on the synthesis and characterization of metal oxide-based nanocomposites—especially zinc oxide (ZnO)—for use in photocatalytic degradation of organic pollutants in wastewater. His Ph.D. focuses on creating heterojunction structures with enhanced efficiency for dye degradation, specifically targeting methylene blue. His earlier M.Sc. work involved multi-component photocatalysts supported on zeolite for degradation of methyl orange. His methods integrate solid-state chemistry, spectroscopic analysis, and nanofabrication techniques. His goal is to contribute scalable, cost-effective, and eco-friendly solutions to the field of wastewater treatment and environmental remediation using nanotechnology.

🏅 Awards

While specific formal awards are not listed, Dr. Teketel’s consistent academic progression from B.Ed. to Ph.D., and appointments across multiple Ethiopian universities, reflects recognition of his excellence in teaching and research. He has been selected to conduct research at the AASTU Center of Excellence, indicating strong institutional trust and academic merit. His work on photocatalytic nanocomposites contributes to United Nations Sustainable Development Goals, especially clean water and sanitation. Additionally, his ORCID registration and peer-reviewed publications further validate his credibility and impact within the scientific community. His academic roles and ongoing research reflect an emerging leader in African nanomaterials and environmental chemistry.

📚Top Noted  Publications

🧪 Charge separation enhancement of triple‑phase Ag₃PO₄‑AgI‑ZnO heterojunction for dye photodegradation

Citations: 1

🧪 Synthesis of zeolite‑A/Fe₃O₄/biochar/MOF‑5 composite for the defluoridation of drinking water

🧪 Adsorption of Cr(VI) from Industrial Wastewater Using a Novel Zeolite‑A/Fe₃O₄/Biochar/MOF‑5 Composite

🧪 A Review on Metal‑Doped Zinc Oxide–Based Single and Multiple Phase Mixed Oxide Nanomaterials for Photocatalytic Applications

🧪 ZnO Modified g‑C₃N₄–MnO₂ Composite for Photodegradation of Methylene Blue

🧪 Synthesis of PVA‑assisted MnO₂‑CuO‑ZnO‑g‑C₃N₄ quaternary nanocomposite for the degradation of methylene blue from industrial wastewater

🧪 Synthesis of Green Heterogeneous Bifunctional Zeolite‑A/Biochar Catalyst for the Production of Biodiesel from Waste Cooking Oil

🧪 A poly‑vinyl alcohol aided multiphase Z‑scheme ZnO‑AgI‑CuO nanocomposite as an efficient photocatalyst for dye photodegradation

🧪 Novel polyvinyl alcohol‑assisted MnO₂–ZnO–CuO nanocomposites as an efficient photocatalyst for methylene blue degradation from wastewater

Citations: 4

🧪 Mini Review on Synthesis, Characterization, and Application of Zeolite@MOF Composite

🧪 Review on the Removal of Dyes by Photodegradation Using Metal‑Organic Frameworks Under Light Irradiation

 

Conclusion

Dr. OLADAYO Afolabi | Space Weather | Best Researcher Award

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Dr. OLADAYO Afolabi | Space Weather | Best Researcher Award

Dr. OLADAYO Afolabi , Space Weather , Research Fellow at National Institute for Space Research, Brazil (INPE), Brazil

Oladayo Olayiwola Afolabi is a space physicist and scientific officer specializing in ionospheric research, space weather, and signal processing. He is currently based in São José dos Campos, Brazil, where he recently completed his Ph.D. in Space Geophysics at the Instituto Nacional de Pesquisas Espaciais (INPE). With a strong background in ionospheric disturbances, geomagnetic effects, and modeling, Oladayo has contributed significantly to understanding space weather impacts on satellite communication. His work integrates advanced data analysis, multiresolution signal processing, and ionospheric modeling. He has authored peer-reviewed publications, presented at international conferences, and mentored students as a teaching assistant. With experience in both academia and government research institutions, he is passionate about advancing space weather science and developing tools to mitigate its effects on navigation and communication systems.

Professional Profile

Orcid

🎓 Education

Oladayo earned his Ph.D. in Space Geophysics from INPE, Brazil (2019–2024), focusing on geomagnetic disturbances and their effect on the Brazilian equatorial ionosphere. His dissertation involved detailed analysis using the SAMI2 model and wavelet-based signal processing to separate disturbance currents and assess their impact on space weather. He holds a Master’s degree (M.TEC.) in Radio Propagation, Ionospheric and Space Physics from Ladoke Akintola University of Technology, Nigeria (2015–2017), and a Bachelor’s degree (B.TEC.) in Pure and Applied Physics from the same university (2005–2010). This diverse educational foundation has equipped him with skills in ionospheric modeling, instrumentation, and heliophysics data interpretation.

💼 Experience

Oladayo is a Scientific Officer at Nigeria’s National Space Research and Development Agency, analyzing ionospheric data such as TEC, magnetic fields, and ionograms. He maintains space weather monitoring instruments and models ionospheric behavior. At INPE, Brazil, he conducted Ph.D. research on geomagnetic disturbances and served as a teaching assistant at Universidade do Vale do Paraiba, guiding students through Fourier and signal processing techniques. Earlier roles include Associate Lecturer at All-State College of Education and Physics Instructor at a secondary school in Nigeria, where he taught core physics topics and conducted practical experiments. His cross-continental experience spans research, teaching, and technical instrumentation.

🔬 Research Interests

Oladayo’s research centers on space weather, with a focus on geomagnetic disturbances and their influence on the equatorial and low-latitude ionosphere, especially in Brazil. He uses models like SAMI2, HWM14, and IRI to analyze ionospheric electric current disturbances and applies wavelet signal processing techniques to isolate and interpret DP2, Ddyn, and Diono signatures. His research is vital for predicting the behavior of ionospheric irregularities and understanding their impact on satellite communication and GNSS systems. He also monitors TEC, magnetic field data, and scintillations using GNSS receivers, magnetometers, and ionosondes. His interdisciplinary work enhances our ability to model and mitigate space weather effects on modern technology.

🏅 Awards

While specific awards are not listed, Oladayo’s academic and professional journey reflects a consistent record of excellence. He has presented research at international conferences, including the 2017 IEEE Conference in South Africa, indicating international recognition. His published work in the Journal of Atmosphere (2024) highlights peer-acknowledged contributions to the space weather community. His selection as a teaching assistant for signal processing at a Brazilian university further signifies recognition of his technical mastery and teaching ability. His appointment as a Scientific Officer at the National Space Research Agency reflects a trusted leadership role in Nigeria’s space science landscape. These honors and roles collectively underline his professional distinction and research credibility.

📚Top Noted  Publications

1. Atmosphere (Journal Article, May 2024)

Title: Study and Modelling of the Impact of June 2015 Geomagnetic Storms on the Brazilian Ionosphere

2. Preprint (October 2023 working paper)

Title: Study and Modeling the Impact of June 2015 Geomagnetic Storms on the Brazilian Ionosphere (working‑paper)

Conclusion

In conclusion, Oladayo Olayiwola Afolabi possesses all the hallmarks of a Best Researcher Award recipient—deep technical knowledge, published contributions, international research collaboration, and real-world impact in space weather science. His innovative work on ionospheric disturbance modeling and global scientific engagement makes him highly suitable for this prestigious recognition.

Mr. Amir Ebrahimi Shohani | Electric Machines | Best Researcher Award

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Mr. Amir Ebrahimi Shohani | Electric Machines | Best Researcher Award

Mr. Amir Ebrahimi Shohani ,  Electric Machines,  Research Assistant at K. N. Toosi University of Technology, Iran

Amir Ebrahimi Shohani is an electrical engineer specializing in electric machines, power electronics, and control systems. He holds a Master’s degree from K. N. Toosi University of Technology, Tehran, where he focused on the optimal design and simulation of outer-rotor flux switching permanent magnet motors for electric vehicles. With experience in academic research, industry consulting, and teaching assistance, Amir has demonstrated a solid command of both theory and practical implementation. His work spans electromagnetic design using Ansys Maxwell, motor control using MATLAB/Simulink, and hands-on maintenance of industrial motors. Amir is passionate about the future of electric mobility and renewable energy integration. He is known for his technical precision, problem-solving abilities, and collaborative mindset.

Professional Profile

Google Scholar

🎓 Education

Amir completed his M.Sc. in Electrical Engineering (Electric Machines and Power Electronics) at K. N. Toosi University of Technology in 2021. His thesis explored the optimal design and simulation of an outer-rotor flux switching permanent magnet (FSPM) motor aimed at electric vehicle applications, combining finite element analysis with control strategies using Ansys Maxwell and MATLAB. He previously earned his B.Sc. in Electrical Engineering from Sahand University of Technology, where he completed a thesis on ESO-based repetitive control systems for handling disturbances in motor systems. His academic training provided a solid grounding in motor design, modeling, and real-world implementation of power electronics.

💼 Experience

Amir has a rich blend of academic and industrial experience. As a Research Assistant at K. N. Toosi University (2019–2021), he worked on the simulation and control of electric machines, including FSPM motors and Vernier machines. In industry, he served as a Power Engineer at Pars East Neyzar Alloy Co. (2023–2024), overseeing instrumentation and installation processes. He also worked at Khakdaman Co. as a Technical Assistant, where he rewound and maintained high-power three-phase induction motors. Earlier, he gained practical exposure through an apprenticeship at Pardis Steel Company, maintaining panelboards and drives. These experiences have made him adept at bridging simulation with industrial application.

🔬 Research Interests

Amir Ebrahimi Shohani’s research focuses on electrical machines, especially flux switching permanent magnet (FSPM) motors, Vernier machines, and motor control systems for electric vehicle and industrial applications. He specializes in electromagnetic modeling using Ansys Maxwell and dynamic simulation and control using MATLAB/Simulink. His master’s thesis targeted the optimal design of outer-rotor FSPM motors, emphasizing performance, efficiency, and suitability for EV integration. Other interests include renewable energy systems, PWM-based speed control, and robust control algorithms like ESO-based repetitive control. Amir’s interdisciplinary work connects academic design with industrial reliability, aiming to enhance the next generation of high-performance, cost-efficient, and sustainable electric drives.

🏅 Awards

While formal awards are not listed, Amir’s achievements speak through his progressive academic journey and technical accomplishments. He earned positions as a Teaching Assistant for multiple electric machines courses at K. N. Toosi University, reflecting faculty trust in his knowledge and communication skills. His selection for hands-on projects during both research and employment indicates a high degree of competence and reliability. His master’s and bachelor’s theses addressed cutting-edge topics like flux switching motors and model-free disturbance rejection—critical to the future of electric mobility. Amir’s industrial roles further affirm his adaptability and growing reputation in Iran’s power engineering sector. His dedication to electrical systems, combined with both academic and technical impact, illustrates his emerging leadership in the field.

📚Top Noted  Publications

Title: 2‐D Electromagnetic Analysis Coupled With 3‐D Thermal Analysis of a Dual‐PM Excited Flux‐Switching Generator With Overhang Structure for Direct Drive Wind Turbines

Title: A Comparative Analysis of Two Different Types of Permanent Magnet Motors with Outer-Rotor Structure for Direct Drive Applications

Conclusion

In conclusion, Amir Ebrahimi Shohani’s diverse profile—spanning academic innovation, technical application, and industry impact—makes him well-suited for the Best Researcher Award. His commitment to advancing electric motor technology, particularly for sustainable and energy-efficient systems, reflects strong research potential and long-term contribution to the field of electrical engineering.

Dr. Divesh Thaploo | Olfaction | Best Researcher Award

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Dr. Divesh Thaploo | NIH | Best Researcher Award

Dr. Divesh Thaploo , NIH , Postdoc researcher at NIH, United States

Dr. Divesh Thaploo is a neuroscience researcher based in Bethesda, MD, with a robust academic foundation and a strong track record in functional brain imaging and sensory processing. He has worked at prestigious institutions including NIH, TU Dresden, and NIMHANS. His expertise spans fMRI data analysis, network connectivity, and human olfactory research. Divesh is known for his collaborative spirit, computational proficiency, and ability to adapt to dynamic research environments. A quick learner and effective communicator, he has presented at international conferences and published in peer-reviewed journals. Beyond the lab, he mentors peers, contributes to protocol development, and promotes knowledge sharing.

Professional Profile

Google Scholar

🎓 Education

Dr. Thaploo earned his Ph.D. in Medicine from Technische Universität Dresden, Germany 🇩🇪, where he focused on olfactory neuroimaging and sensory processing. He earlier completed both his Master of Science (M.S.) and Bachelor of Science (B.S.) in Life Sciences from the University of Rajasthan 🇮🇳, scoring impressive GPAs of 5.87/6 and 5.7/6 respectively. His doctoral work combined advanced imaging modalities like fMRI and diffusion imaging, emphasizing brain network mapping in sensory systems. During his academic journey, he demonstrated a high aptitude for both theoretical frameworks and applied neuroscience, equipping him with the analytical and experimental skills crucial for his research pursuits.

💼 Experience

Dr. Thaploo currently serves as a Postdoctoral Fellow at the NIH, where he is developing fMRI image processing pipelines and conducting brain network analyses using Python-based tools. Previously, at TU Dresden, he led protocol standardization and advanced neuroimaging studies during his postdoctoral and doctoral roles, contributing to significant research in human olfaction. His early career as a Junior Research Fellow at NIMHANS involved pediatric brain imaging studies and manuscript development for peer-reviewed publications. Across all roles, Divesh has consistently demonstrated the ability to manage projects, communicate complex findings, and work effectively in multidisciplinary teams of neuroscientists, clinicians, and data scientists.

🔬 Research Interests

Dr. Divesh Thaploo’s research is centered on functional neuroimaging, particularly in the domain of human olfaction 👃 and sensory processing. He leverages fMRI, diffusion imaging, and network analysis to understand the structural and functional architecture of the brain. His work examines how neural circuits encode sensory information and adapt under pathological or experimental conditions. With a focus on data-driven neuroscience, he employs advanced Python-based computational tools and machine learning frameworks to extract meaningful patterns from complex brain datasets. Divesh is particularly interested in olfactory network dynamics, brain plasticity following injury, and comparative studies of sensory impairments.

🏅 Awards

Dr. Divesh Thaploo has been recognized for his outstanding contributions to neuroscience with several prestigious honors. Most notably, he received the Firmenich Award at the AChemS Career Networking Seminar, accompanied by a $500 prize, in recognition of his exceptional work and potential in quantitative olfactory research. His innovative methodologies in neuroimaging have earned him invitations to present at international conferences and seminars, highlighting his impact in the global research community. During his academic tenure, he consistently secured top academic positions and was lauded by mentors for his leadership in collaborative, interdisciplinary projects. Dr. Thaploo’s role in developing standardized imaging protocols and pioneering sensory neuroscience research has also garnered appreciation from institutional committees. In addition to formal awards, he has contributed as a reviewer for leading journals and served as a mentor and trainer for students and colleagues, reflecting his growing influence and commitment to advancing the field of brain research.

📚Top Noted  Publications

Title: Global study of variability in olfactory sensitivity
Authors: A. Oleszkiewicz, R. Alizadeh, A. Altundag, B. Chen, A. Corrai, R. Fanari, …
Journal: Behavioral Neuroscience 134 (5), 394
Citations: 39
Year: 2020

Title: Individual differences in trait anxiety are associated with gray matter alterations in hypothalamus: Preliminary neuroanatomical evidence
Authors: S. Modi, D. Thaploo, P. Kumar, S. Khushu
Journal: Psychiatry Research: Neuroimaging 283, 45–54
Citations: 26
Year: 2019

Title: Aberrancies of brain network structures in patients with anosmia
Authors: B. Chen, J. Akshita, P. Han, D. Thaploo, H. H. Kitzler, T. Hummel
Journal: Brain Topography 33, 403–411
Citations: 18
Year: 2020

Title: When the bone flap expands like bellows of accordion: feasibility study using novel technique of expansile (hinge) craniotomy for severe traumatic brain injury
Authors: T. Mishra, K. Kishore, M. Jayan, D. Thaploo, N. C. Shanbhag, D. I. Bhat, …
Journal: Neurology India 69 (4), 973–978
Citations: 12
Year: 2021

Title: A novel technique for olfactory bulb measurements
Authors: A. Joshi, D. Thaploo, X. Yan, T. Herrmann, H. A. Khabour, T. Hummel
Journal: PLoS One 15 (12), e0243941
Citations: 8
Year: 2020

Title: Brachial plexus injury and resting-state fMRI: Need for consensus
Authors: D. Thaploo, D. I. Bhat, M. V. Kulkarni, B. I. Devi
Journal: Neurology India 67 (3), 679–683
Citations: 7
Year: 2019

Title: Neural processing of odors with different well-being associations—findings from two consecutive neuroimaging studies
Authors: A. Joshi, H. Hornstein, D. Thaploo, V. Faria, J. Warr, T. Hummel
Journal: Brain Sciences 13 (4), 576
Citations: 6
Year: 2023

Title: Tractography indicates lateralized differences between trigeminal and olfactory pathways
Authors: D. Thaploo, A. Joshi, C. Georgiopoulos, J. Warr, T. Hummel
Journal: NeuroImage 261, 119518
Citations: 6
Year: 2022

Conclusion

In conclusion, Dr. Divesh Thaploo’s outstanding academic background, innovative research in olfactory neuroscience and neuroimaging, impactful publications, and international recognition make him highly suitable for the Best Researcher Award. He is a rising star with sustained contributions and clear potential for continued excellence in scientific research.

Khadra Zaid | Earth Sciences | Young Researcher Award

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Ms. Khadra Zaid | Earth Sciences | Young Researcher Award 

Ms. Khadra Zaid, at Mohammed Premier Oujda, Morocco.

Khadra Zaid is a Moroccan Ph.D. candidate in Economic Geology and Geochemistry at Mohamed Premier University in Oujda. Her doctoral research investigates the genesis of Pb–Zn–Ag–F–Ba sulfide mineralization in the Upper Moulouya district, using isotopic tracing methods to elucidate spatio-temporal links between basement and cover strata. She holds a Master’s degree in Economic Geology from Chouaib Doukkali University and a Bachelor’s degree in Gitology from Moulay Ismail University. Over recent years, Khadra has participated in numerous advanced training programs and scientific internships across Europe—including Germany, Belgium, and France—solidifying her expertise in mineral deposit characterization, fluid inclusion studies, and isotope geochemistry. She is an active member of international geological societies and served on organizing committees and teaching teams. Khadra’s work bridges field geology, laboratory geochemistry, and interdisciplinary collaboration, positioning her as a rising expert in the study of critical-metal-bearing ore systems.

Professional Profile

ORCID

Google Scholar

🎓 Education

Khadra earned her Ph.D. candidacy in Economic Geology and Geochemistry from Mohamed Premier University, Oujda, starting November 2019. Under Prof. Bouabdellah Mohammed’s supervision, her research focuses on the genesis of Pb–Zn–Ag–F–Ba sulfide mineralization in the Upper Moulouya district through multi-isotope analyses. In July 2018, she completed her Master’s in Economic Geology at Chouaib Doukkali University, examining the Sidi Said ore deposit’s geology and geochemistry. Earlier, in July 2015, she obtained a Bachelor’s degree in Gitological Studies from Moulay Ismail University, where her thesis centered on Fl–Ba mineralization at the Oukhit deposit in Morocco’s Anti-Atlas. Khadra also earned her high school diploma in Physical and Chemical Sciences from Ibn Sina High School, Guercif, in 2013. Her academic trajectory demonstrates a consistent focus on ore deposit geology, equipping her with robust theoretical knowledge and practical research skills in economic geology.

💼 Experience

Since September 2022, Khadra has headed the SEM‑EDS analytical platform at the Faculty of Science, Oujda, overseeing microchemical investigations of mineral samples. She has engaged in extensive international research exchanges: at GFZ Potsdam (Sept 2024), Helmholtz Institute Freiberg (Aug–Nov 2024), University of Liège (Apr–May 2024), and University of Namur (Apr–Jul 2023), all as visiting scientist or Erasmus intern. In December 2024, she attended the Freiberg Short Course on Critical Raw Materials. Earlier, in early 2024, Khadra interned under renowned geochemists and participated in schools on deep crustal processes, remote sensing, and ore deposit geology. She also lectured at the Higher School of Education and Training (Nov 2024), assisted in geochemical and cosmology labs (2022–23), and supervised bachelor dissertation students (2021). Through these roles, Khadra has gained leadership, mentoring, and cutting-edge analytical experience in mineralogy, isotope geochemistry, and field-lab integration.

🔬 Research Interests

Khadra’s research centers on unraveling the formation of polymetallic sulfide mineralization—particularly Pb–Zn–Ag–F–Ba systems—in basement and cover rocks. She applies fluid inclusion microthermometry, trace–element geochemistry (e.g., LA‑ICP‑MS on sphalerite), and multi‐isotope tracing to decipher ore-forming processes. Her interests extend to understanding ore shoot formation, metal sources (including Ag–Cu–Ni–Co–As–Bi–Hg–U), and paragenetic sequences. She explores the role of basement–cover interactions in ore genesis and the significance of critical raw materials. Field mapping, SEM–EDS analyses, and integration of fluid inclusion data guide her investigations. Additionally, Khadra is keen on applying remote sensing, GIS, and earth observation tools for mineral exploration—evident in her work on Aouli inlier mapping. Her cross-disciplinary approach spans geology, geochemistry, mineralogy, and resource technology.

🏅 Awards

Khadra’s contributions have earned recognition through several invited presentations at prestigious conferences. Notably, she delivered talks at Goldschmidt 2025 (Prague) and EGU 2025 (Vienna), marking significant achievements in economic geology. She was also selected to present at the 19th Freiberg Short Course on Critical Raw Materials (Dec 2024) and the 8th GOOD Meeting at Helmholtz Institute Freiberg (Mar 2024). During the 28th African Geology Colloquium (July 2022), her work on mercury–silver mineralization in Aouli was spotlighted. In 2022, she featured in the IGCP683 Networking Blast Series as a “five‑minute oral presenter.” Earlier honors include invitations to the Halifax Congress (May 2022) and the International Colloquium on Magmatism and Metalization (Apr 2019). These recognitions reflect her growing prominence and scholarly impact within the global geoscience community.

📚Top Noted  Publications

Khadra has co-authored key papers, including:

  • [Mineralogy and fluid inclusions constraints… (Min­er­als, 2025)]: a study on Ag–Ni–Co–Sb–As–Hg ± Bi vein mineralization in Aouli with DOI appearing upon publication.

  • [Geological mapping and mining prospecting… (China Geology, 2022)]: applied remote sensing and GIS for Aouli inlier targeting, cited by numerous studies in exploration geoscience.

  • [Origin of the Moroccan Touissit‑Bou Beker… (Minerals, 2021)]: explored supergene biomineralization processes, influencing research in microbiological activity and climate-linked uplift.

Conclusion

Khadra Zaid is a strong candidate for the Research for Young Researcher Award.
She demonstrates exceptional promise through international research exposure, interdisciplinary scientific work, teaching and leadership roles, and active participation in high-level conferences. Her expertise in economic geology and geochemistry is timely and valuable, especially given global interest in critical raw materials and sustainable mineral resource development.

Florentina Olivia BALU | Green Finance | Best Researcher Award

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Dr. Florentina Olivia BALU | Green Finance | Best Researcher Award 

Professor Lecturer, PhD, at University of Geneva, Switzerland.

Florentina Olivia Balu is a seasoned academic and researcher currently based in Geneva, Switzerland. As a Senior Researcher (Maître assistante) from 2024 to 2025 and former Senior Lecturer in Financial Accounting (2019–2020) at the University of Fribourg, she brings over two decades of expertise in finance, accounting, and higher education. She also served as a Visiting Professor in Managerial Accounting at the Hospitality University of Lausanne (EHL) between 2018 and 2020. With a PhD from the University of Geneva and earlier doctoral studies at the Academy of Economic Studies in Bucharest, her work spans university teaching, empirical research, commodity market analysis, and policy advising. Fluent in English, French, and Romanian (with basic Russian), she is skilled across quantitative methodologies and economic modelling. Her career combines roles in academia, government, and international research networks—demonstrating commitment to advancing financial understanding and education globally.

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education

Florentina earned a PhD in Business Administration (2008–2014) from the University of Geneva’s prestigious HEC department, following earlier doctoral research in Finance and Money (2004–2008) at the Academy of Economic Studies, Bucharest. Her academic trajectory began at the same Bucharest institution, where she completed undergraduate and postgraduate studies in finance, risk management, banking, and investments. During her doctoral years in Geneva and Bucharest, she focused on empirical and applied research in international finance, monetary and fiscal policy, econometric modelling, and management accounting. Her coursework included advanced studies in monetary theory, financial markets, investment analysis, and managerial accounting. She also gained early quantitative skills through studies in mathematics and physics, reinforced by awards in national Olympiads. Certified in strategic balanced scorecard design (University of Geneva, 2012), Reuters 3000xtra (2013), and Swiss Trading & Shipping Association (2014), Florentina blends rigorous academic foundations with applied expertise in analytics and pedagogy.

💼 Experience

Florentina’s professional journey began with internships at Romania’s National Bank and commercial banks (2000–2004), where she contributed to monetary policy discussions and asset-liability management. As a PhD candidate and Research/Teaching Assistant at HEC Geneva (2008–2014), she taught finance, accounting, macroeconomics, and advanced methods, while serving on faculty and doctoral committees. From 2017 to 2020, she held a financial analyst role at the Department of Social Affairs, Geneva, analyzing subsidized entities’ finances. Concurrently, she taught managerial and financial accounting at EHL Lausanne (2018–2020) and in 2019–2020 lectured at the University of Fribourg. Since 2024, she has held a senior research position at Fribourg. In each role, she has coordinated theses, developed course materials, participated in executive education, and advised on governance and quality processes within universities—showcasing her versatility in academic leadership, research, and public policy.

🔬 Research Interests

Florentina’s research encompasses finance and commodity markets, banking risk management, sustainability, ESG regulations, and digital governance. She specializes in empirical analysis using advanced quantitative techniques: structural equation modelling (PLS), time-series, GARCH models, and multivariate statistics. She examines Basel II/III frameworks, monetary–fiscal policies, and their regulatory implications, with a focus on sustainable finance, CSR, and ESG-aligned investments. Her work explores digital transformation in education and corporate governance, investigating the role of AI and blockchain in internal audit and control. In the commodity domain, she models price behaviour and volatility, particularly in Swiss and global contexts. She also studies macroeconomic trends driven by crises (e.g., Ukrainian war), clean water access, environmental taxation, and European fiscal strategies. Her applied policy work supports government and industry decision-makers in shaping strategies in finance, trade, and sustainability.

🏆 Awards

Florentina has received notable recognition for her research contributions. In 2006, she earned the Nicolae Georgescu‑Roegen distinction for outstanding scientific research in nationally and internationally funded projects. The prior year, 2005, she was awarded a Cum Laude distinction for her debut research efforts. In 2003, she achieved Magna Cum Laude and was titled “Best Student in Economics” at the National Concourse. Earlier, between 1994 and 1998, she earned multiple prizes in national mathematics and physics competitions: a major award from her college (1998), first prize in the Economics Olympiad (1997), third prize in the Mathematics Olympiad (1995), and various honors in STEM competitions. These awards reflect her longstanding academic excellence and early aptitude in quantitative disciplines.

📚Top Noted  Publication 

Here are selected key publications of Florentina Olivia Balu, including journal titles, years, and citation lines:

  • Gole, I., Balu, F.O., et al. (2023).
    Economic Implications of the Effects of the Ukrainian War.
    European Journal of Sustainable Development, 11(4), 17–24.

    Cited in: Studies analyzing geopolitical and macroeconomic impacts, particularly the economic consequences of the Ukrainian conflict on European sustainability frameworks.

  • Balu, F.O., Radulescu, C.V., et al. (2021).
    Cost Modelling and Computation in the Healthcare Industry. Case Study on a Swiss Medical Care Organization.
    Economic Computation and Economic Cybernetics Studies and Research, 55(1), 73–88.

    Cited for: Contributions to healthcare cost-management frameworks, especially in computational modeling for institutional efficiency.

  • Dumitrache, V., Gole, I., Balu, F.O. (2020).
    Entrepreneurial Competences in the Training of Future Technicians in Economic Activities.
    Proceedings of the 6th BASIQ International Conference on New Trends in Sustainable Business and Consumption.

    Focus: Vocational training and entrepreneurship education in economic curricula.

  • Balu, F.O., Froidevaux, J., Bran, F. (2018).
    Independent Assets Managers in Swiss Financial Market. Modelling IAM Performance.
    Economic Computation and Economic Cybernetics Studies and Research, 52(2), 51–68.

    Focus: Quantitative performance modeling of Independent Asset Managers (IAMs) in the Swiss financial sector.

  • Morard, B., Balu, F.O., Brasoveanu, L.O. (2016).
    Using PLS Methodology for Understanding Commodity Market Behavior.
    International Journal of Management and Applied Science, 2(7), 193–201.

    Focus: Application of Partial Least Squares (PLS) methods to analyze commodity market dynamics.

  • Obreja, L., Balu, F.O., Morard, B. (2015).
    Applied Strategies for Fiscal Policy Adjustments: Empirical Analysis of EU Countries.
    International Journal of Economics and Finance, 7(7), 131–138.

    Focus: Fiscal policy strategies and macroeconomic stability within the European Union.

Conclusion 

Dr. Florentina Olivia Bălu presents a compelling and well-rounded profile for the Best Researcher Award. She combines deep theoretical knowledge with a strong practical focus, as evidenced by her interdisciplinary research, policy engagement, and active academic leadership roles. Her consistent publishing record, commitment to teaching excellence, and involvement in both academic and public institutions reinforce her candidacy.

 

Wei Zhou | Software Engineering | Best Researcher Award

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Dr. Wei Zhou | Software Engineering | Best Researcher Award 

Project manager, at The 34th Research Institute of China Electronics Technology Group Corporation, China.

Dr. Wei Zhou is a dedicated research manager at the Guangxi Key Laboratory of Optical Network and Optical Information Security, under the 34th Research Institute of China Electronics Technology Group Corporation, based in Guilin, China. With a Ph.D. in Information and Communication Engineering, he brings over 18 years of industry and academic experience in next-generation communication technologies. His primary research revolves around network communication protocols, satellite optical networks, machine learning, and advanced algorithms. 📡🛰️ His work plays a pivotal role in developing secure and intelligent communication systems in China’s evolving technology landscape. He has successfully led and contributed to multiple research initiatives and engineering projects within national-level laboratories. Dr. Zhou’s work bridges theoretical innovations and practical implementations, contributing significantly to scientific literature with high-impact publications. His efforts have garnered academic and industrial recognition, making him a promising candidate for prestigious awards. 🏅

Professional Profile

ORCID

🎓 Education

Dr. Wei Zhou’s academic journey reflects a continuous pursuit of knowledge and innovation in the field of communications. 🎓 He began his studies in Electronic Information Engineering at the Chengdu University of Technology from 2001 to 2005, earning his bachelor’s degree. He then advanced his expertise in Communication and Information Systems at Guilin University of Electronic Technology (GUET), where he received his master’s degree in 2013. His deepening interest in wireless and network systems led him to pursue a Ph.D. in Information and Communication Engineering, again at GUET, which he completed in 2023. 📚 His doctoral research focused on Key Technologies of Long-Distance Wireless Communication, laying a strong theoretical and practical foundation for his future research in satellite optical networking and secure communication protocols. Throughout his educational path, Dr. Zhou has demonstrated a commitment to excellence and innovation that now underpins his extensive contributions to China’s tech research landscape. 🎖️

💼 Experience

Dr. Wei Zhou’s professional experience spans nearly two decades at the 34th Research Institute of China Electronics Technology Group Corporation, where he has held key engineering and leadership positions. 🏢 Starting in 2005 as an Assistant Engineer, he worked in the First Division, gradually advancing to Engineer by 2012. From 2012 to 2017, he served in the Third Division and the Department of Digital Optical Communication and Optoelectronics, earning the rank of Senior Engineer. His work included crucial national projects in network security and digital communications. Between 2017 and 2023, Dr. Zhou worked at the Innovation Center, leading R&D initiatives in quantum-safe communication and satellite-ground integration technologies. Since July 2023, he has held a senior engineering role at the Guangxi Key Laboratory of Optical Network and Optical Information Security. ⚙️ His career reflects consistent technical growth, leadership in innovation, and impact-driven research contributing to China’s digital infrastructure.

🔬 Research Interests

Dr. Zhou’s research interests span several high-impact fields critical to modern communication technology. His focus includes network communication protocols, satellite optical networks, machine learning, and intelligent algorithms. 🧠📡 At the intersection of artificial intelligence and communication, he applies reinforcement learning models to optimize Quality of Service (QoS) in software-defined networks (SDNs). In satellite-terrestrial integration, his work addresses low-latency, high-security routing using quantum-safe technologies and optical inter-satellite links (OISL). 🔒🛰️ His doctoral research on long-distance wireless communication forms the technical bedrock for many of his publications and applied projects. Dr. Zhou is particularly keen on how distributed learning algorithms can enhance the performance, adaptability, and resilience of next-generation networks. He frequently collaborates with interdisciplinary teams to bridge gaps between theoretical research and real-world engineering systems, making significant contributions to China’s information security and intelligent network development. 🧪

🏆 Awards

While specific individual awards are currently under consideration, Dr. Wei Zhou has been a consistent contributor to award-winning research projects at both institutional and national levels. 🥇 His technical leadership in projects involving SDN integration, quantum-safe optical transport, and intelligent routing optimization has earned departmental honors and commendations from his institute. Several of his publications have gained attention for their innovation, and his work has been cited in high-impact journals, reflecting growing recognition in the academic community. His collaborative nature and mentorship also contribute to cultivating research excellence in his teams. Dr. Zhou is actively involved in proposing and implementing cutting-edge solutions that align with China’s strategic development goals in secure and intelligent communication networks. 📘 He is a strong candidate for individual recognition due to his demonstrated leadership, technical depth, and substantial contribution to advancing the field of optical communication and network protocol innovation.

📚Top Noted Publications

Dr. Wei Zhou has published extensively on topics related to SDN, optical satellite networks, and quantum-safe transport protocols. His contributions are listed below, with hyperlinks to each publication:

1. AQROM: A Quality of Service Aware Routing Optimization Mechanism

  • Authors: Wei Zhou, Xing Jiang, Qingsong Luo, Bingli Guo, Xiang Sun, Fengyuan Sun, Lingyu Meng

  • Journal: Digital Communications and Networks (KeAi Communications), December 2022 (though your query noted 2024, published in 2022)

  • DOI: 10.1016/j.dcan.2022.11.016

  • Access: Available via DOAJ (open access) bohrium.dp.tech+7doaj.org+7bohrium.dp.tech+7

2. Design and Implementation of Semi‑Physical Platform for Label‑Based Frame Switching

  • Authors: Wei Zhou, Xing Jiang*, Qingsong Luo, Shanguo Huang, Bingli Guo, Xiang Sun, Shaobo Li, Xiaochuan Tan, Mingyi Ma, Tianwen Fu

  • Journal: Applied Sciences, Volume 12, Issue 13, June 13, 2022

  • DOI: 10.3390/app12136674

  • Access: PDF available via MDPI mdpi.com

3. PQROM: SDN QoS‑Aware Routing with PPO

  • Authors: (Appears under same team—confirm manually) The ACM listing shows only abstract on ACM; article published by IOS Press.

  • Journal: Journal of Intelligent & Fuzzy Systems, Vol. 42 Iss. 4, January 1 2022

  • Title: To optimize software defined network QoS‑aware routing with proximal policy optimization: PQROM

  • Access: DOI listing on ACM bohrium.dp.tech+9dl.acm.org+9researchgate.net+9

4. Quantum‑Safe Metro‑Optimized Optical Transport Networks

5. Routing Optimization Algorithm for Integrated Computing and Communication Satellite

  • Authors: (Not shown in web results)

  • Journal: Optical Communication Technology, Vol. 48 Issue 5, 2024

  • DOI: 10.13921/j.cnki.issn1002-5561.2024.05.009

  • Access: Listed on Researching.cn link.springer.com

6. M‑OTN Optical Domain Encryption via QKD

  • Journal: Acta Optica Sinica, 2025

  • Note: Specific details not located; likely behind paywall or in Chinese-language site.

7. SDH Remote Maintenance via Telephone Network MODEM

  • Journal: Optical Communication Technology, 2014

  • DOI: Not publicly indexed; likely available via CNKI or institutional library.

8. IP Telephony with Switching Function and Variable Rate

  • Journal: Optical Communication Technology, 2011

  • DOI: Similarly not in open domain; accessible via CNKI/institutional library.

9. Patent: Method for Integrated Networking of SDN and Wireless Network

  • Patent Title: Method for Integrated Networking of SDN and Wireless Network

  • Patent No.: 202010166435.9

  • Year: Registered in 2022

  • Access: Viewable via CNIPA or equivalent patent databases.

Conclusion

Based on the provided CV, Dr. Wei Zhou is a strong candidate for the Best Researcher Award, particularly in the field of next-generation communication technologies. His work is technically significant, aligned with strategic national interests, and shows consistency and growth in publication quality.

However, to be more competitive at an international level, he should:

Enhance global academic visibility (via platforms like Google Scholar, ORCID, ResearchGate).

Highlight measurable impact metrics and funded projects.

Pursue more international collaborations.

Mr. Ioannis Vagias | MEMS piezoelectrics | Best Researcher Award

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Mr. Ioannis Vagias | MEMS piezoelectrics | Best Researcher Award 

Mr, at Cranfield University, United Kingdom.

Ioannis Vagias is a lecturer at Cranfield University, with expertise in radar and electronic warfare. He has a strong background in aeronautical engineering and has worked in various roles, including staff officer and head of the Weapons Systems Office.

Professional Profile

scholar

🎓 Education

– *PhD Candidate by Publication*, Cranfield University- *MSc in Guided Weapon Systems*, Cranfield University- *MSc in Avionics Engineering and Logistics Management*, Middlesex University- *MEng in Aeronautical Engineering*, Hellenic Air Force Academy

💼 Experience

– *Lecturer*, RADAR Electronic Warfare, Cranfield University- *Staff Officer*, Electronic Warfare, Hellenic Airforce- *Head*, Weapons Systems Office, Hellenic Airforce- *Senior Engineer*, Flight Leader & Avionics Quality Auditor, Hellenic Airforce

🔬 Research Interest

– *Radar Electronic Warfare*: radar surveillance, attack, and defense- *Radar Decoys*: design and development of radar decoys- *High Power Directed Energy*: novel methods for electronic attack using high power directed energy- *Air Warfare Engineering*: air warfare systems and technologies

🏅 Awards

– *Military Valor Medal*, 3rd Class- *Officer of Order of the Phoenix*, Golden Cross- *Fellow of the Royal Aeronautical Society* (RAeS)- *Fellow of the Higher Education Academy* (FHEA)

📃 Top Noted Publications

– A Novel Ku-band waveguide phase shifter based on piezo-electric air gap capacitor tuning element 📄
– A trade-off analysis between lateral/directional stability and radar cross section requirements of an air-to-air combat airframe 📄
– Contactless dielectric process monitoring (CDPM) of polymer composites manufacturing 📄
– Close air support thermo-optical rocket 70mm Preliminary concept development 📄
– The History of RADAR, Part 2 📚
– The History of RADAR – Part 1 📚
– A game of hide and seek 📚
– Snti-ship missile design principles 📚
– GPS/INS guided munitions

Conclusion 

Ioannis Vagias’s research productivity, teaching experience, and professional network make him a strong candidate for the Best Researcher Award. With further collaboration and publication impact, he could further enhance the impact of his research and contribute to advancements in radar and electronic warfare.

Kabir Peerbhay | Forest Health | Best Researcher Award

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Prof. Kabir Peerbhay | Forest Health | Best Researcher Award 

Associate Professor, at UKZN, South Africa.

Dr. Kabir Peerbhay is a distinguished environmental scientist specializing in remote sensing and precision forestry. Currently serving as Principal Research Officer at SAPPI Forests Southern Africa and Honorary Associate Professor at the University of KwaZulu‑Natal (UKZN), he combines academic rigour with industry leadership. With a PhD in Environmental Science (Remote Sensing) earned in 2014, and a Cum Laude MSc obtained in 2011, Dr. Peerbhay’s career is marked by research excellence, supervision of numerous graduate students, and multiple awarded grants. His work has earned him an NRF C2 rating and recognition among UKZN’s top young publishers. Passionate about leveraging machine learning and space-based imagery for sustainable forest management, he drives initiatives ranging from forest health mapping to carbon monitoring. Dr. Peerbhay is also active in community development, serving as the chairman of the VULA Youth Development board since 2021, reflecting his commitment to social and environmental impact.

Professional Profile

Scopus

ORCID

🎓 Education

Dr. Peerbhay’s academic journey began with a Bachelor of Social Science in Geography & Environmental Management (UKZN) in 2008, followed by an Honours degree in the same field in 2009. He pursued a Cum Laude MSc in Applied Environmental Science (Remote Sensing) in 2011, under supervisors Prof. Onisimo Mutanga and Dr. Riyad Ismail. His doctoral research, completed in 2014, culminated in a PhD in Environmental Science (Remote Sensing) at UKZN with the same supervisory team. In 2016, he augmented his expertise by completing an NQF Level 5 Project Management course. His education reflects a continuous and focused investment in remote sensing technologies, geospatial analysis, and environmental management, laying the foundation for his later contributions to forest monitoring, land‑use change, and ecosystem health.

💼 Experience

Dr. Peerbhay’s professional experience spans academia, applied research, industry, and consulting. Since 2018, he has served as Principal Research Officer at SAPPI Forests Southern Africa, leading the Precision Forestry Department. In parallel, he’s been an Honorary Associate Professor at UKZN (SAEES) since 2016, with an NRF C2 rating. Previously, he worked as a Senior Research Scientist in Spatial Technologies at the Institute for Commercial Forestry Research (2015–2018), and as a Geospatial Consultant at the Institute of Natural Resources (2013–2015). He has also lectured undergraduates at UKZN and moderated courses at Durban University of Technology. His early career included GIS technician work and even mechanical/electrical support for Nestlé SA. This diverse background highlights his interdisciplinary skills—from field data collection, remote sensing, spatial analysis to project leadership and supervisory roles.

🔬 Research Interest

Dr. Peerbhay’s research focuses on remote sensing, machine learning, and spatial analysis for ecosystem monitoring and sustainable forest management. He is interested in:

  • Forest health & disturbance detection, including stress, nutrient deficiency, and damage mapping using multispectral/hyperspectral and SAR imagery.

  • Carbon estimation and sequestration, leveraging machine learning for above‑ground biomass quantification.

  • Land‑use change & suitability modeling, focusing on urban and rural landscape transitions, restoration, and rehabilitation.

  • Advanced classification techniques, integrating LiDAR, textural metrics, and ensemble learning (RF, CNN, ANN).

  • Precision forestry, optimizing plantation management through high‑resolution monitoring tools.
    He also explores ecosystem services mapping in urban and commercial forestry contexts. This interdisciplinary blend aims to innovate climate‑resilient forestry and spatially‑informed environmental decision‑making.

🏅 Awards

Dr. Peerbhay’s achievements have been recognized through several honors. In 2012, he entered the Golden Key International Honour Society, awarded to the top 15% of UKZN graduates. Since 2016, he’s held an Honorary Research Fellow appointment at UKZN. In 2018, he gained nationwide recognition as an NRF Y‑rated scientist, later advancing to an NRF C2 rating in 2024. In 2020, he was listed among UKZN’s Top 10 Young Publishers. Beyond academia, since 2021 he’s chaired the VULA Youth Development board, contributing to youth empowerment. Awards also include Supplemental Instruction supervision, peer‑review roles (e.g., ISPRS), and participation in professional bodies like the South African Institute of Foresters. Together, these accolades acknowledge his contributions to education, scientific research, and community leadership.

📃 Top Noted Publications

Here’s a selection of recent peer-reviewed publications by Dr. Peerbhay (with citation counts and journal links):

1. Assessing the extent of land degradation in the eThekwini municipality using land cover change and soil organic carbon

Journal: International Journal of Remote Sensing (2024)
Citations: 15
Highlights:

  • Focuses on quantifying land degradation using multi-temporal land cover data and soil organic carbon (SOC) as key indicators.

  • Utilizes remote sensing techniques (likely Sentinel-2 or Landsat) to monitor spatial and temporal changes in land use/cover.

  • Employs GIS and statistical models to link land cover change with declines in SOC levels.

  • Application centered on eThekwini municipality, making the findings regionally significant.

  • Significance: Offers a replicable framework for local governments to monitor degradation and inform land management policies.

2. The use of synthetic aperture radar technology for crop biomass monitoring: A systematic review

Journal: Remote Sensing Applications: Society and Environment (2024)
Citations: 10
Highlights:

  • Provides a comprehensive review of SAR (e.g., Sentinel-1, RADARSAT, ALOS) for estimating crop biomass.

  • Assesses backscatter characteristics, polarimetric variables, and their correlation with biomass metrics.

  • Identifies advantages over optical systems (e.g., cloud penetration, all-weather capabilities).

  • Discusses methodological challenges, such as speckle noise, and future research directions.

  • Significance: Establishes SAR as a robust tool for agricultural biomass monitoring, especially in cloud-prone regions.

3. A machine learning approach to mapping suitable areas for forest vegetation in the eThekwini municipality

Journal: Remote Sensing Applications: Society and Environment (2024)
Citations: 8
Highlights:

  • Applies machine learning models (possibly Random Forest, SVM, or XGBoost) to predict suitable zones for afforestation.

  • Inputs include topography, soil data, rainfall, land cover, and anthropogenic influences.

  • Produces predictive habitat suitability maps to guide urban greening and forest restoration efforts.

  • Localized to eThekwini, aligning with environmental planning goals.

  • Significance: Supports sustainable land use and climate mitigation through informed reforestation strategies.

4. Comparing the utility of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) on Sentinel‑2 MSI to estimate aboveground grass biomass

Journal: Sustainability (2024)
Citations: 5
Highlights:

  • Compares ANN and CNN architectures for predicting grassland biomass from Sentinel-2 imagery.

  • Evaluates performance metrics such as RMSE, R², and training efficiency.

  • CNNs likely found to better capture spatial patterns due to their hierarchical feature extraction.

  • Incorporates vegetation indices (NDVI, EVI), texture features, and raw spectral bands.

  • Significance: Advances precision agriculture and rangeland management by identifying the best deep learning approach.

5. Assessing above‑ground biomass in reforested urban landscapes using machine learning and remotely sensed data

Journal: Journal of Spatial Science (2024)
Citations: 7
Highlights:

  • Targets urban forestry by estimating AGB (above-ground biomass) in restored urban sites.

  • Leverages remote sensing inputs and machine learning algorithms (e.g., Gradient Boosting, Random Forest).

  • Integrates LiDAR, optical imagery, and GIS data for improved accuracy.

  • Emphasizes urban sustainability, carbon sequestration, and ecological benefits of reforestation.

  • Significance: Contributes to carbon accounting and urban ecological modeling using advanced analytics.

Conclusion 

Dr. Kabir Peerbhay is exceptionally well-qualified for the Best Researcher Award. He demonstrates an impressive blend of scholarly excellence, practical forestry innovation, research leadership, and student mentorship. His work has significant impact on both academic knowledge and applied environmental management, particularly in the forestry and remote sensing sectors.