Haipeng Yan | Mechanical Engineering | Research Excellence Award

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Dr. Haipeng Yan | Mechanical Engineering | Research Excellence Award

Hebei University of Science and Technology | China

Dr. Haipeng Yan is a dynamic mechanical engineering researcher whose work spans bearing dynamics, mechanical product design, digital design methodologies, and advanced product performance analysis. His research integrates theoretical models, computational simulations, and experimental validation, contributing significantly to high-speed ceramic bearings, nano-grinding mechanisms, digital twin systems, and intelligent manufacturing. With more than 30 academic publications in SCI-indexed and Chinese journals as first or corresponding author, he has demonstrated sustained productivity and rising influence in his field. His scholarly impact is reflected in 248 citations from 232 citing documents and an h-index of 10, underscoring his expanding international research visibility. His recent research advances include digital-twin-driven commissioning systems for intelligent detection lines, tribological and dynamic characteristics of full-ceramic ball bearings under extreme operating conditions, nano-scratching mechanisms in monocrystalline silicon, and surface engineering inspired by biological microstructures. Dr. Yan’s interdisciplinary collaborations bridge materials science, mechanical design, automation, and micro-manufacturing, leading to innovative solutions in precision machining, product reliability, and smart processing equipment. His works are extensively indexed in Scopus and Google Scholar, demonstrating consistent growth in citation metrics supported by an increasing h-index and i10-index, as well as recognition across international conferences and high-ranking journals. His research is frequently cited by scholars in nonlinear dynamics, intelligent manufacturing systems, micromachining, and digital engineering, further validating the relevance of his contributions. In addition, he has advanced intelligent production technologies through work on machine-vision-based detection, automated processing equipment, and functional surface engineering. His publications show methodological depth by integrating numerical simulations, experimental analysis, digital modeling, and structural optimization. With a strong cross-disciplinary portfolio and rising global impact, Dr. Haipeng Yan stands out as a promising contributor to mechanical engineering innovation, and his expanding scholarly footprint positions him as a strong candidate for distinctions such as the Research Excellence Award.

Publication Profile

Scopus | Orcid

Featured Publications

  • Niu, H. L., Yang, S., Yan, H. P., Wu, P., Zhang, J. Y., & Yang, J. J. (2025). Digital twin-driven virtual commissioning system research for the intelligent detection production line of sleeves. Equipment Intelligent Operation and Maintenance: Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance (Iceiom 2023).

  • Zhang, K., Li, K., Sun, Z., Yan, H., Song, Q., & Zhi, Z. (2025). Experimental study on sound field characteristics of circular and elliptic cyclone separators. Powder Technology.

  • Yan, H., Zhang, H., Cao, S., & Wang, C. (2025). Study on nano-grinding characteristics and formation mechanism of subsurface damage in monocrystalline silicon. Micromachines.

  • Xia, Z., Wu, Y., Sun, J., Yan, H., Tian, J., Wang, H., & Li, S. (2024). Analysis of cage dynamic characteristics for high-speed full ceramic ball bearing under non-lubrication condition. Nonlinear Dynamics.

  • Tian, H., Yan, S., Sun, Z., Wang, H., & Yan, H. (2024). Effect of nano-scratch speed on the removal behavior of single-crystal silicon. Diamond and Abrasives Engineering.

Tuniyazi Abudoureheman | Information Technology | Research Excellence Award

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Dr. Tuniyazi Abudoureheman | Information Technology | Research Excellence Award

Hiroshima University | Japan

Dr. Tuniyazi Abudoureheman is an emerging researcher in intelligent imaging technologies whose work integrates high-frame-rate (HFR) video processing, digital signal processing, and intelligent systems to address complex challenges in robotics, motion analysis, and biological detection. His research focuses on developing advanced computational frameworks capable of extracting subtle temporal and spatial features from high-speed visual data, with applications spanning vibration monitoring, multi-joint robotic manipulators, and biological motion recognition. Tuniyazi’s contributions involve creating novel image- and signal-processing algorithms designed to improve the accuracy, stability, and efficiency of automated systems operating in dynamic environments. His work on HFR-video-based vibration analysis offers enhanced diagnostic capabilities for flexible robotic structures, while his research on hornet detection using wing-beat frequency analysis demonstrates the potential of high-speed imaging for environmental and biological applications. Furthermore, his earlier work on multi-person tracking in complex backgrounds reflects his strong foundation in computer vision and predictive filtering. Tuniyazi’s scholarly visibility continues to grow, with citations indexed in Google Scholar and Scopus, reflecting early-stage but steadily increasing academic impact. According to Google Scholar metrics, his work has accumulated citations, maintaining an h-index of 1 and an i10-index of 0, which is consistent with researchers developing specialized expertise in a rapidly advancing technical domain. His research outputs contribute to international conferences and peer-reviewed journals, demonstrating a commitment to scientific rigor and innovation. Tuniyazi’s ongoing research trajectory aligns strongly with the objectives of the Research Excellence Award, showcasing high-impact potential in intelligent video processing, adaptive computational models, and robotics-oriented signal analysis, reinforcing his role as a promising contributor to next-generation smart robotic and imaging systems.

Publication Profile

Google Scholar

Featured Publications

  • Li, J., Shimasaki, K., Tuniyazi, A., Ishii, I., Ogihara, M., & Yoshiyama, M. (2023). HFR video-based hornet detection approach using wing-beat frequency analysis. IEEE Sensors, 1–4.

  • Abudoureheman, T., Wang, F., Shimasaki, K., & Ishii, I. (2025). HFR-video-based vibration analysis of a multi-jointed robot manipulator. Journal of Robotics and Mechatronics, 37(5), 1205–1218.

  • Tuniyazi Abudoureheman, T., & Abousharara, E. (2018). Multiple people tracking based on Kalman filter in complex background. Proceedings of the Shikoku-Section Joint Convention of Institutes of Electrical and Related Engineers.

Maria Economou | Digital Heritage | Best Researcher Award

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Prof. Dr. Maria Economou | Digital Heritage | Best Researcher Award

University of Glasgow | United Kingdom

Prof. Maria Economou is a leading scholar in Digital Cultural Heritage, serving as Professor at the University of Glasgow  in a joint appointment between Information Studies and The Hunterian, where she co-founded the Digital Cultural Heritage Arts Lab.  she has held the prestigious British Academy/Wolfson Professorial Fellowship, advancing innovative research on emotional engagement with museum collections through digital storytelling and participatory interpretation. Her distinguished career spans senior academic roles at the University of Glasgow , over a decade at the University of the Aegean as Director of the Museology Research Lab, and earlier positions at the University of Manchester and the Pitt Rivers Museum, University of Oxford. She holds a DPhil from Oxford for pioneering work on multimedia in museums, an MA from Leicester, and a BA from Aristotle University of Thessaloniki. Prof. Economou is internationally recognized for her contributions to digitisation, immersive technologies, and cultural interpretation, delivering invited talks worldwide and serving as European Commission Expert for Digital Cultural Heritage. She has held leadership roles including Vice-Chair of Universeum and membership in the Europeana Impact Task Force, alongside editorial service for major journals such as Memory, Mind & Media and Museum Worlds. Her influence extends across global funding bodies, PhD examinations, scientific committees, and advisory roles for major cultural projects including Unpath’d Waters and CHARTER. With 1,555 citations, an h-index of 17, and landmark publications such as Heritage in the Digital Age and Moving Beyond the Virtual Museum, she remains a driving force in shaping digital heritage scholarship. Prof. Maria Economou is recognized for her outstanding contributions to research excellence and innovation. She is proudly nominated for the Best Researcher Award in honour of her global impact.

Publication Profile

Orcid | Google Scholar | Scopus

Featured Publications

  • Economou, M. (2015). Heritage in the digital age. In A companion to heritage studies (pp. 215–228).

  • Economou, M., & Meintani, E. (2011). Promising beginning? Evaluating museum mobile phone apps.

  • Economou, M. (1998). The evaluation of museum multimedia applications: Lessons from research. Museum Management and Curatorship, 17(2), 173–187.

  • Perry, S., Roussou, M., Economou, M., Young, H., & Pujol, L. (2017). Moving beyond the virtual museum: Engaging visitors emotionally. Proceedings of the 23rd International Conference on Virtual System & Multimedia (VSMM), 1–8.

  • Economou, M., & Tost, L. P. (2007). Educational tool or expensive toy? Evaluating VR evaluation and its relevance for virtual heritage. In New Heritage (pp. 258–276).

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

Orcid

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

Orcid 

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.

Publication Profile

Orcid

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

Google Scholar

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.