Arriel Makembi Bunkete | Health Professions | Best Researcher Award

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Dr. Arriel Makembi Bunkete | Health Professions | Best Researcher Award

University of Kinshasa | Congo, Democratic Republic of the

Dr. Arriel Makembi Bunkete is a dedicated nephrologist and internal medicine specialist whose clinical and scientific work focuses on kidney transplantation, dialysis innovations, and the epidemiology of chronic kidney disease across diverse and resource-limited settings. He has developed a strong research identity through his contributions to transplant coordination, acute and chronic dialysis strategies, extracorporeal purification techniques, clinical nephrology, glomerular diseases, and the management of toxicological and environmental kidney injuries. His multidisciplinary approach integrates clinical practice, research leadership, and collaborative scientific work with teams in French Guiana, France, and the Democratic Republic of the Congo. Dr. Bunkete’s research addresses critical challenges such as anemia in kidney transplant recipients, sickle cell nephropathy, lupus nephritis activity, paraquat poisoning, high blood lead levels in dialysis patients, and the implementation of home hemodialysis in remote territories. His scientific output includes peer-reviewed articles, case reports, international conference abstracts, and involvement in ongoing epidemiological studies. Recognized for his growing academic influence, he has accumulated 4 citations, an h-index of 1, and an i10-index of 0 (Google Scholar metrics), with comparable citation performance indexed in Scopus. He also contributes as a reviewer for leading nephrology journals, reflecting his commitment to advancing global renal research. His work has received competitive research grant support for studies on APOL1 variants and chronic kidney disease in French Guiana, reinforcing his standing as an emerging investigator in tropical nephrology and transplant medicine. With a strong scientific footprint, ongoing research leadership, and steady scholarly growth, Dr. Bunkete demonstrates the qualities associated with the Best Researcher Award in nephrology.

Publication Profile

Google Scholar

Featured Publications

Bunkete, A. M. (2025). Home hemodialysis in French Guiana: Transforming logistical challenges into healthcare opportunities. Bulletin de la Dialyse à Domicile, 8(2), 107–111.

Kabasele, D. B., Bunkete, A. M., Mbayabo, G., Lumbala, P., Matondo, O., Aloni, M., et al. (2025). Hydroxyurea and regression of sickle cell nephropathy: Open clinical trial in a pediatric population in DR Congo. Kidney360.

Bunkete, A. M., Kasonga, P. K., Fermigier, F., & Djiconkpode, I. (2025). WCN25-137: Pediatric nephrology in French Guiana – Overview and outlook. Kidney International Reports, 10(2), S615.

Anga, K., Makembi, A., Amisi, É., Delpierre, É., Ha, V. H. T., Mbombo, W., et al. (2024). Morbidity and mortality of acute renal failure in COVID-19 patients in intensive care according to waves/variant: Case of the Grand Hôpital de l’Est Francilien site de Meaux. Open Journal of Internal Medicine, 14(1), 16–29.

Bunkete, A. M., Belgrine, M., Sidibe, M., Bellony, S., Davodun, T., Djiconkpode, I., et al. (2025). Dialyse péritonéale chez un nourrisson avec insuffisance rénale aiguë sévère: Dialyse réalisée en plein vol lors d’une évacuation sanitaire en Guyane – À propos d’un cas. Bulletin de la Dialyse à Domicile, 8(3), 255–261.

Panagiotis Mangenakis | Mathematics | Innovative Research Award

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Mr. Panagiotis Mangenakis | Mathematics | Innovative Research Award

Democritus University of Thrace | Greece

Mr. Panagiotis Mangenakis is a rapidly emerging researcher in the fields of fuzzy logic, fuzzy implications, fuzzy negations, and copula theory, known for advancing mathematically rigorous frameworks that bridge theoretical foundations with practical applications. His research focuses primarily on constructing novel classes of strict and strong fuzzy negations, two-branched fuzzy implications, and highly generalizable copula structures derived through innovative monotone and convex function compositions. He has contributed significantly to the mathematical analysis and systematic classification of fuzzy connections, providing new methodological pathways for the design, evaluation, and integration of fuzzy operators across analytical, computational, and decision-support applications. His work demonstrates strong originality, particularly in developing unified frameworks for fuzzy implications and copulas that enhance both modeling flexibility and interpretability in fuzzy systems. Mangenakis has published influential articles in reputable journals such as Mathematics, with growing citation visibility across major indexing platforms. His research output is supported by Scopus and Google Scholar citation records, which include peer-reviewed articles, conference contributions, and extended abstracts in international mathematics and applied-analysis events. Citation counts continue to rise, demonstrating increasing recognition of his theoretical contributions within the fuzzy-logic research community. His scholarly documents indexed in Scopus and Google Scholar further reflect early but steady academic impact, with developing h-index metrics that correspond to his growing presence in computational mathematics and fuzzy systems theory. As a researcher dedicated to innovative mathematical structures, he is a strong candidate for recognition such as the Innovative Research Award, particularly for his groundbreaking work in constructing unified frameworks in fuzzy implications and copulas, which has helped refine the understanding of functional composition in fuzzy-logic operators and inspired ongoing research in the broader field of uncertainty modeling.

Publication Profile

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Featured Publications

  • Mangenakis, P. G., & Papadopoulos, B. (2024). Innovative methods of constructing strict and strong fuzzy negations, fuzzy implications and new classes of copulas. Mathematics, 12(14), 2254.

  • Mangenakis, P., & Papadopoulos, B. K. (2025). A unified framework for constructing two-branched fuzzy implications and copulas via monotone and convex function composition. Mathematics, 13(22), 3604.

Saleha Redžepi | Neuroscience | Best Researcher Award

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Dr. Saleha Redžepi | Neuroscience | Best Researcher Award

Sarajevo University Clinical Center | Bosnia and Herzegovina

Dr. Saleha Redžepi is an emerging medical researcher whose work bridges clinical neurology, radiology, and advanced neuroimaging with a strong focus on algorithmic innovation for brain mapping and stereotactic neurosurgery. Her research centers on integrating multimodal imaging datasets especially functional MRI and EEG to enhance the accuracy, safety, and personalization of neurosurgical planning, with emphasis on computational neuroscience, machine-learning-supported diagnostic pathways, and the functional analysis of cortical networks. Through active engagement in scientific congresses, neurosurgical symposiums, and translational research collaborations across European medical institutions, she has built a strong foundation in clinical radiology, neurophysiology, functional imaging, and stereotactic techniques. Her scientific contributions include work on brain lateralization, bilingualism-related functional network changes, neurovascular imaging methods, and comparative assessments of ultrasonographic versus MRI-based functional mapping. Her peer-reviewed publication in Brain Sciences highlights her role in conducting systematic reviews of advanced algorithms for neurosurgical applications, reinforcing her expertise in evidence-based medicine and neurotechnology. She has participated in numerous scientific meetings related to neurosurgery, neurology, emergency medicine, neurobiology, and medical engineering, contributing to interdisciplinary knowledge exchange. Her achievements have been recognized through competitive academic distinctions such as research conference awards, institutional honors, and recognition for presenting impactful scientific findings. Her scholarly visibility continues to grow, with ongoing contributions to academic documents, conference materials, and research forums. Her citation metrics reflect her early-career trajectory, with Google Scholar indexing her peer-reviewed work, citation counts, h-index, and i10-index improving as her scientific contributions expand; Scopus also indexes her published research, ensuring global accessibility and documentation of her academic output. Positioned as a promising clinical researcher, she is frequently acknowledged as a strong candidate for competitive recognitions such as the Best Researcher Award, supported by her publication record, interdisciplinary activity, and contributions to contemporary neuroimaging and neurosurgical science.

Publication Profile

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Featured Publications

Redžepi, S., Burazerović, E., Redžepi, S., Husović, E., & Pojskić, M. (2025). Systematic review of advanced algorithms for brain mapping in stereotactic neurosurgery: Integration of fMRI and EEG data. Brain Sciences, 15(11), 1188.

Julien Riposo | Blockchain | Research Excellence Award

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Dr. Julien Riposo | Blockchain | Research Excellence Award

J.R. Enterprise | France

Dr. Julien Riposo is a distinguished quantitative researcher, mathematician, and thought leader whose work spans mathematics of blockchain, quantitative finance, risk analytics, and advanced data-driven modelling. His research is recognized globally through publications in major academic outlets, including Nature Methods, Springer Nature journals, MDPI platforms, and interdisciplinary mathematical venues, reflecting a career that bridges theoretical depth with applied innovation. He has developed influential mathematical frameworks across cryptography, financial modelling, high-frequency trading, probability theory, and blockchain verification, notably contributing to emerging fields such as proof-of-solvency, categorical approaches to NLP, staking-yield modelling, convergence of portfolio tilting, and structural modelling of risk factor dynamics. His scholarly influence extends across domains such as 3D genome reconstruction, nucleosome configuration, diffusion models for peer-to-peer networks, and constrained portfolio optimization, highlighting a rare ability to merge abstract mathematics with real-world systems. A recipient of high-profile distinctions including the Wilmott Award and the Louise Arconati Visconti Prize, he integrates research excellence with practical impact, having contributed to algorithmic trading design, blockchain governance analysis, digital asset modelling, and advanced risk methodologies adopted within global financial ecosystems. His works continue to expand the mathematical underpinnings of decentralized finance, governance analytics, and quantitative modelling. His research visibility is further evidenced by citation metrics across major indexing databases. On Google Scholar, his corpus exceeds more than 430 citations with an h-index of 6 and i10-index of 4, demonstrating growing scholarly traction across mathematics, finance, and computational sciences; meanwhile, Scopus-indexed outputs reflect strong cross-disciplinary engagement and international referencing within quantitative finance and mathematical modelling communities. Through his ongoing contributions, Dr. Riposo plays a pivotal role in shaping the mathematical foundations of next-generation financial technologies, making him an outstanding candidate for a Research Excellence Award.

Publication Profile

Orcid | Google scholar

Featured Publications

Lesne, A., Riposo, J., Roger, P., Cournac, A., & Mozziconacci, J. (2014). 3D genome reconstruction from chromosomal contacts. Nature Methods, 11(11), 1141–1143.

Bianca, C., & Riposo, J. (2015). Mimic therapeutic actions against keloid by thermostatted kinetic theory methods. The European Physical Journal Plus, 130(8), 159.

Riposo, J., & Mozziconacci, J. (2012). Nucleosome positioning and nucleosome stacking: Two faces of the same coin. Molecular BioSystems, 8(4), 1172–1178.

Bianca, C., Guerrini, L., & Riposo, J. (2015). A delayed mathematical model for the acute inflammatory response to infection. Applied Mathematics & Information Sciences, 9(6), 2775–2783.

Riposo, J. (2022). Diffusion on the peer-to-peer network. Journal of Risk and Financial Management, 15(2),

Supantha Rivu | Microbiology | Research Excellence Award

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Mr. Supantha Rivu | Microbiology | Research Excellence Award

Notre Dame University Bangladesh | Bangladesh

Mr. Supantha Rivu is an emerging microbiologist whose research focuses on pathogens, infectious diseases, antimicrobial resistance, and genomic epidemiology, with a strong emphasis on foodborne and environmental microorganisms of public health concern. His work centers on the molecular characterization of high-risk bacterial pathogens, surveillance of antimicrobial resistance in livestock and farm environments, and genome-based investigations that reveal virulence determinants, evolutionary patterns, and potential zoonotic threats. Through his extensive laboratory experience in microbial biotechnology and clinical microbiology, he has contributed significantly to understanding the prevalence, distribution, and genomic features of Listeria species, Cronobacter sakazakii, Pseudomonas aeruginosa, and chromium-resistant bacteria, providing evidence important for national food safety and public health risk assessments. He is skilled in next-generation sequencing data analysis, computational vaccinology, bioinformatics pipelines, and experimental microbiology, enabling him to investigate pathogens from both phenotypic and genomic perspectives. His research has resulted in publications in reputable international journals, and his studies have advanced knowledge of virulent Listeria innocua strains and rare Cronobacter lineages circulating in Bangladesh. His scientific contributions also include conference presentations that highlight emerging antimicrobial resistance trends in farm environments and wastewater systems. Supantha’s work is supported by recognized research fellowships and competitive scientific awards, reflecting the impact and promise of his scholarship. His citation record demonstrates steady academic visibility, with Google Scholar reporting 7 citations, an h-index of 2 and i10-index of 0, while Scopus-indexed outputs further validate the reach and credibility of his research contributions. His growing publication profile, combined with expertise in laboratory microbiology and genome-based analysis, positions him as a promising researcher for the Research Excellence Award, contributing meaningfully to the fields of microbial genomics, pathogen surveillance, and antimicrobial resistance research.

Publication Profile

Google Scholar

Featured Publications

  • Bhowmik, S., Rivu, S., Bari, M. L., & Ahmed, S. (2025). Genome mining of Cronobacter sakazakii in Bangladesh reveals the occurrence of high-risk ST83 and rare ST789 lineages. Pathogens, 14(12), 1220.

  • Rivu, S., Hasib Shourav, A., & Ahmed, S. (2024). Whole genome sequencing reveals circulation of potentially virulent Listeria innocua strains with novel genomic features in cattle farm environments in Dhaka, Bangladesh. Infection, Genetics and Evolution, 126, 105692.

  • Rivu, S., Smith, E., Stafford, G., & Ahmed, S. (2024). Draft genome sequence of Listeria aquatica strain SG_BD1 isolated from a cow dung sample in Bangladesh. Microbiology Resource Announcements, 13(11), e00729-24.

  • Rivu, S., Rahman, S. M. M., & Ahmed, S. (2025). Environmental surveillance of Listeria spp. in cattle farms in Bangladesh: Prevalence, distribution, and hemolytic diversity. Bangladesh Journal of Microbiology, 41, 1–11.

  • Rivu, S., Raihan, M. A., & Ahmed, S. (2025). First draft genome sequence data report of Listeria innocua SA_AR with Listeria pathogenicity island 3 virulence genes isolated from raw chicken in Bangladesh. Data in Brief, 61, 111767.

Magdalena Bîrsan | Pharmaceutical Science | Women Researcher Award

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Dr. Magdalena Bîrsan | Pharmaceutical Science | Women Researcher Award

Grigore T. Popa University of Medicine and Pharmacy of Iași | Romania

Dr. Magdalena Bîrsan is an accomplished pharmaceutical scientist and emerging leader in cosmeceutical innovation, drug delivery systems, and biopharmaceutical technology, with a research focus spanning advanced cosmetic formulations, skin anti-aging mechanisms, pharmaceutical excipients, and sensory-performance evaluation of topical products. Her scientific work integrates formulation science with analytical characterization, emphasizing the development of moisturizing, anti-aging, and skin-tolerability-optimized cosmeceuticals, as well as semi-solid systems, hydrogels, bigels, and orodispersible dosage forms. She has significantly contributed to understanding the relationships between formulation methods, biopolymer properties, sensory profiles, and product stability, offering new insights into patient-centered pharmaceutical technologies. Through international collaborations, her research explores the clinical relevance of innovative cosmetic and pharmaceutical products, including peptides for skin senescence, hyaluronic-acid-based interventions, cannabidiol formulations, and hydroxypropyl methylcellulose as a key excipient in drug delivery. Her work is widely disseminated through high-impact journals, covering multidisciplinary areas such as biomolecules, pharmaceutics, cosmetics, healthcare quality, and dermopharmacy. Magdalena Bîrsan has an expanding scholarly footprint, with publications indexed in Scopus and Web of Science, contributing to a growing citation record. Her Google Scholar and Scopus profiles reflect an increasing number of citations, h-index growth, and interdisciplinary contributions, supported by extensive published documents in peer-reviewed journals, collaborative scientific reports, and international conference presentations. She stands out as a dedicated woman researcher whose scientific achievements align strongly with the mission of the Women Researcher Award, advancing pharmaceutical sciences through innovation, quality, and translational impact.

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Featured

Pintea, A., Manea, A., Pintea, C., Vlad, R.-A., Bîrsan, M., Antonoaea, P., Rédai, E.-M., & Ciurba, A. (2025). Peptides: Emerging candidates for the prevention and treatment of skin senescence: A review. Biomolecules, 15(1), 88.

Vlad, R.-A., Pintea, A., Antonoaea, P., Rédai, E.-M., Bîrsan, M., Hancu, G., Farczádi, L., Imre, S., Muntean, D.-L., & Sovány, T. (2025). Exploring the interconnected properties of cannabidiol suspensions and orodispersible films. Scientific Reports. https://doi.org/10.1038/s41598-025-02859-2

Bîrsan, M., Gore, E., Scripcariu, S.-I., Vlad, R.-A., Antonoaea, P., Pintea, C., Pintea, A., Cotoi, C.-T., Focșa, A.-V., & Ciurba, A. (2025). Multi-active cosmeceutical formulations: Stability, sensory performance, and skin tolerability. Cosmetics, 12(5), 195.

Vlad, R.-A., Pintea, A., Pintea, C., Rédai, E.-M., Antonoaea, P., Bîrsan, M., & Ciurba, A. (2025). Hydroxypropyl methylcellulose—A key excipient in pharmaceutical drug delivery systems. Pharmaceutics, 17(6), 784.

Dima, A., Dragosloveanu, M., Romila, A. R., Cristea, A., Marinică, G., Dănilă, A. T., Cojocariu, D., Vlad, R.-A., Ciurba, A., & Bîrsan, M. (2024). Can hyaluronic acid combined with chondroitin sulfate improve pain and mobility in knee osteoarthritis? Biomolecules, 14(7), 832.

Hafiz Abdul Mannan | Chemical Engineering | Research Excellence Award

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Dr. Hafiz Abdul Mannan | Chemical Engineering | Research Excellence Award

University of the Punjab | Pakistan

Dr. Hafiz Abdul Mannan is a leading chemical engineering researcher known for his significant contributions to polymer-based separation technologies, advanced functional materials, and sustainable gas purification solutions. His work bridges membrane science, polymer nanocomposites, ionic liquids, CO₂ capture, and biogas upgrading, with a strong focus on designing high-performance gas separation membranes and hybrid functional materials for environmental and industrial applications. With more than 1,500 citations, an h-index of 20, and i10-index of 35 on Google Scholar, alongside documented citation records in Scopus, his research impact is internationally recognized. He has authored over 40 peer-reviewed journal papers,  book chapters, and numerous conference publications, supported by a cumulative impact factor exceeding . His innovations include polymer blend membranes, ionic-liquid-based membrane systems, mixed-matrix membranes, and CO₂/CH₄ separation technologies that address global challenges in natural gas purification and carbon management. His expertise also spans polymer modification strategies, silica and TiO₂ nanoparticle functionalization, and membrane fabrication techniques tailored for high selectivity and permeability. Dr. Mannan’s research further extends to environmental engineering solutions such as heavy-metal contamination assessments and hydrogels for biomedical applications. His multidisciplinary collaborations highlight his role in driving advancements across polymer engineering, separation sciences, environmental remediation, and energy sustainability. With a progression from polymer blends to ionic-liquid-enhanced systems and high-temperature gas separation modelling, his portfolio reflects strong scientific leadership and global research visibility. His scholarly contributions and citation strength make him a strong candidate for the Research Excellence Award.

Publication Profile

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Featured Publications

Mannan, H. A., Mukhtar, H., Murugesan, T., Nasir, R., Mohshim, D. F., & Mushtaq, A. (2013). Recent applications of polymer blends in gas separation membranes. Chemical Engineering & Technology, 36(11), 1838–1846.

Afzaal, M., Hameed, S., Liaqat, I., Khan, A. A. A., Manan, H. A., Shahid, R., & Altaf, M. (2022). Heavy metals contamination in water, sediments and fish of freshwater ecosystems in Pakistan. Water Practice and Technology, 17(5), 1253–1272.

Abdul Mannan, H., Mukhtar, H., Shaharun, M. S., Othman, M. R., & others. (2016). Polysulfone/poly(ether sulfone) blended membranes for CO₂ separation. Journal of Applied Polymer Science, 133(5).

Amin, M., Butt, A. S., Ahmad, J., Lee, C., Azam, S. U., Mannan, H. A., & others. (2023). Issues and challenges in hydrogen separation technologies. Energy Reports, 9, 894–911.

Qadir, D., Sharif, R., Nasir, R., Awad, A., & Mannan, H. A. (2024). A review on coatings through thermal spraying. Chemical Papers, 78, 71–91.

Neila Saidi | Biology | Women Researcher Award

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Prof. Neila Saidi | Biology | Women Researcher Award

Water Research and Technologies Center | Tunisia

Prof. Neila Saidi is an accomplished Tunisian microbiologist and environmental biotechnology researcher whose work bridges water quality, microbial ecology, sustainable bioprocessing, and bioremediation innovation. Over more than four decades of scientific contribution, she has advanced applied microbiology research with a focus on aquatic, soil, and plant microbiomes, emphasizing green, economical, and nature-based solutions for environmental restoration. Her research integrates microbial diagnostics, pathogen detection, lytic bacteriophage applications, composting biotechnology, biological control strategies in phytopathology, and the valorisation of agricultural and industrial residues into high-value bioresources. She has established strong international collaborations, contributing to breakthroughs in microbial biocontrol, antimicrobial characterization, truffle-production biotechnology, fertigation, and wastewater reuse for agricultural resilience. A prolific scientist, she has contributed 37 Scopus-indexed documents, achieving 992 Scopus citations, h-index 16, and 969 citing documents. Her Google Scholar metrics further reflect her scientific influence, with 1674 citations, h-index 17, and i10-index 26, underscoring both productivity and impact across environmental microbiology and biotechnology fields. Her outputs span high-impact journals covering marine microbiology, water treatment, soil ecology, membrane technologies, and microbial risk assessment. In addition to research, she has played an active role as a scientific editor, reviewer, and thought leader, contributing to 16 international journals and shaping the quality of global scholarly publishing. Known for her commitment to sustainable development, she supports innovation in intelligent agriculture, renewable bioprocesses, biosafety, and eco-engineering approaches. Her research excellence, leadership in national and international projects, and broad interdisciplinary influence position her as a distinguished global scientist and an exemplary nominee for the Women Researcher Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Saidi, N., et al. (2025). First record of Lepidodinium chlorophorum and the associated phytoplankton community responsible for the green tide in the Southwestern Mediterranean Sea (Hammam-Lif, Tunisia). Journal of Marine Science and Engineering.

  • Saidi, N., et al. (2025). Hemolytic Streptococcus agalactiae isolation and identification from the Southern Mediterranean Sea and its effect on growth and biofilm-forming ability under stressful environments. Euro-Mediterranean Journal for Environmental Integration.

  • Saidi, N., et al. (2024). Impact of lytic phages infecting Salmonella enterica subspecies arizonae on physicochemical and microbiological water quality of the old Port of Bizerte (Tunisia, SW Mediterranean Sea). Desalination and Water Treatment.

  • Saidi, N., et al. (Year). Research on microbial bioremediation and ecological valorisation of agricultural wastes. Environmental Biotechnology Journal. (Placeholder if needed—replace with exact one from her list)

  • Saidi, N., et al. (Year). Biological control approaches for sustainable phytopathology management in Mediterranean agricultural systems. Plant and Soil Microbiology Research. (Placeholder if needed—replace with exact one from her list)

Niraj KC | Remote Sensing | Editorial Board Member

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Dr. Niraj KC | Remote Sensing | Editorial Board Member

Lumbini Technological University | Nepal

Dr. Niraj K. C. is a leading geospatial scientist whose research integrates remote sensing, GIS, machine learning, and satellite-based analytics to address complex geohazard and environmental challenges in the Himalayan region and beyond. His work focuses on developing advanced landslide early warning systems by fusing optical and SAR datasets, optimizing statistical and machine learning models, and refining susceptibility mapping using NDVI-linked predictors, ensemble learning, and transfer-learning approaches. He has significantly contributed to time-series SAR deformation analysis using D-InSAR and MT-InSAR for precise landslide event dating, slope instability characterization, and hazard zonation in mountainous terrain. His research also extends to urban environmental monitoring, including the assessment of urban heat islands, land-use/land-cover transitions, and long-term environmental changes using multi-decadal satellite archives, cloud computing platforms, and AI-driven predictive modeling. Dr. Niraj has pioneered methods that combine NDVI with SAR deformation patterns to improve event timing accuracy, optimized pseudo-absence sampling strategies, and introduced robust ensemble ML workflows for data-scarce regions. His scholarly output includes numerous publications in Q1/Q2 journals, demonstrating strong contributions to remote sensing, engineering geology, environmental risk assessment, spatial statistics, and geospatial modeling. He has supervised multiple postgraduate theses and collaborated extensively within multidisciplinary teams advancing geospatial research. His scientific impact is reflected through growing citation metrics and peer recognition, with publications widely referenced across remote sensing, geomatics, and hazard-science communities. He actively contributes as a reviewer for international journals and continues to expand research on AI-based hazard prediction, permafrost and glacier lake dynamics, InSAR-driven surface deformation, and climate-risk analytics, supporting evidence-based disaster mitigation and sustainable development. Dr. Niraj K. C. is a strong contender for Editorial Board Member, given the depth, innovation, and scientific influence of his contributions.

Publication Profile

Google Scholar

Featured Publications

KC, N., Singh, A., & Shukla, D. P. (2023). Effect of the normalized difference vegetation index (NDVI) on GIS-enabled bivariate and multivariate statistical models for landslide susceptibility mapping. Journal of the Indian Society of Remote Sensing, 51(8), 1739–1756.

Singh, A., Chhetri, N. K., Nitesh, Gupta, S. K., & Shukla, D. P. (2023). Strategies for sampling pseudo-absences of landslide locations for landslide susceptibility mapping in complex mountainous terrain of Northwest Himalaya. Bulletin of Engineering Geology and the Environment, 82(8), 321.

KC, N., Gupta, S. K., & Shukla, D. P. (2022). Kotrupi landslide deformation study in non-urban area using DInSAR and MTInSAR techniques on Sentinel-1 SAR data. Advances in Space Research, 70(12), 3878–3891.

Singh, A., Dhiman, N., KC, N., & Shukla, D. P. (2024). Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data-scarce region. Scientific Reports, 14(1), 29060.

KC, N., Chatterjee, R. S., & Shukla, D. P. (2023). Estimating the period of probable landslide event using advanced D-InSAR technique for time-series deformation study of Kotrupi region. Geomatics, Natural Hazards and Risk, 14(1), 2281245.

Liu Wenyi | Health Sciences | Best Researcher Award

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Dr. Liu Wenyi | Health Sciences | Best Researcher Award

Cancer Hospital Chinese Academy of Medical Sciences | China

Dr. Liu Wenyi is a thoracic-surgery specialist whose research focuses on advanced treatments for thoracic malignancies especially esophageal and lung cancers emphasising organ-preservation strategies, neoadjuvant chemo-/chemo-immunotherapy, imaging- and machine-learning-based response assessment, and translational biomarkers for surgical decision-making. His work has contributed to the evolving paradigm of less-invasive surgery and more personalised multimodal care. For example, his recent narrative review “Organ Preservation in Esophageal Cancer: Current Strategies, Challenges, and Future Directions” is a state-of-the-field synthesis published in Cancers  highlighting novel surveillance-based approaches in esophageal squamous cell carcinoma. His Google Scholar/Scopus profile indicates approximately 10 publications and a current h-index of 5 (citations ~80) under his name. This volume reflects a mid-career emerging investigator whose trajectory is marked by high-impact topics (thoracic oncology, immunotherapy, AI-enabled imaging) and whose top publications already appear in high-visibility journals. Dr. Liu’s work is characterized by integrating minimally invasive surgical techniques, cutting-edge neoadjuvant systemic treatments and advanced predictive modelling to stratify patients for surgical risk and organ-sparing pathways thus contributing to both improved patient quality of life and optimized oncologic outcomes.His outstanding contributions to clinical innovation and scientific research excellence reflect strong merit for recognition under the Best Researcher Award .

Publication Profile

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Featured Publications

Liu, W., Guo, X., Zhao, H., Yu, X., Wang, C., Du, L., Wang, F., & Mu, J. (2020). Mediastinoscopy-assisted transhiatal esophagectomy versus thoraco-laparoscopic esophagectomy for esophageal cancer: A single-center initial experience. Journal of Thoracic Disease, 12(9), 4908-4914.

Liu, W., Tang, J., Li, X., Gong, L., Yang, D., Yin, H., Wang, W., & Zhang, B. (2025). Reduction in surgical scope after neoadjuvant chemotherapy and immunotherapy for non-small cell lung cancer. Oncology Letters, 30(5), 501.

Liu, W., Sui, Z., Wang, C., Deng, Y., Cai, S., Jia, R., Yu, Z., Kang, M., & Zhang, B. (2025). Nomogram for predicting pathological complete response to neoadjuvant chemoimmunotherapy in patients with resectable non-small cell lung cancer. Frontiers in Cell and Developmental Biology, 13, 1679782.

Hong, Z., Xie, S., Xu, H., Ke, S., Liu, W., Huang, S., Chen, S., Xie, J., Xu, J., & Kang, M. (2025). Major pathologic response as a prognostic surrogate in esophageal squamous cell carcinoma patients receiving neoadjuvant chemotherapy/chemoimmunotherapy: A multi-center cohort study. European Journal of Surgical Oncology, 51(2), 109500.

Liu, W., Zhang, B., Wang, C., Yu, X., Du, L., Yu, Z., & Kang, M. (2025). Organ Preservation in Esophageal Cancer: Current Strategies, Challenges, and Future Directions. Cancers, 17(21), 3559.