Samaneh Saeedinia | Advanced Photonic Sensors | Best Researcher Award

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Prof. Dr. Samaneh Saeedinia | Advanced Photonic Sensors | Best Researcher Award

Prof. Dr. Samaneh Saeedinia | ICNR | Iran

Samaneh Alsadat Saeedinia is an Iranian researcher and engineer with expertise in control electrical engineering, computational neuroscience, robotics, and artificial intelligence. She holds a Ph.D. and has contributed to advanced research in system stability analysis, neural networks, and signal processing, including works on precise limit-cycle stability in epileptor models and enhanced sound event detection using spiking neural networks. Her academic footprint spans high-impact outlets such as IEEE Transactions on Systems, Man, and Cybernetics: Systems and IEEE Access. Saeedinia’s Google Scholar profile reflects a significant research impact, with 99 citations and an h-index of 6, underscoring both productivity and influence within her fields of study . She has collaborated internationally, integrating computational and control methodologies to address complex problems in neural data analysis and intelligent system design. Beyond research, Saeedinia’s work bridges theoretical innovation and practical application, contributing to interdisciplinary advances at the intersection of engineering, neuroscience, and machine learning. Her scholarly presence is further supported by her GitHub contributions, reflecting engagement with open-source research tools and reproducible science. Saeedinia continues to expand her research portfolio, fostering cross-domain collaborations and mentoring emerging scientists while advancing foundational knowledge in intelligent and adaptive systems

Profile: Google Scholar

Featured Publications

Saeedinia, S. A., Jahed-Motlagh, M. R., Tafakhori, A., & Kasabov, N. (2021). Design of MRI-structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals. Scientific Reports, 11(1), 12064.

Saeedinia, S. A., Jahed-Motlagh, M. R., Tafakhori, A., & Kasabov, N. K. (2024). Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir spiking neural network, and NeuCube methods in a pilot study comparing epilepsy and migraine. Scientific Reports, 14(1), 10667.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S. A. (2024). Dynamic-structured reservoir spiking neural network in sound localization. IEEE Access, 12, 24596–24608.

Mohaghegh, M., Saeedinia, S. A., & Roozbehi, Z. (2023). Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles. Frontiers in Robotics and AI, 10, 1226028.

Saeedinia, S. A., & Tale Masouleh, M. (2022). The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision avoidance. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Murat Solak | Environmental Biophotonics Research | Innovative Research Award

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Assoc. Prof. Dr. Murat Solak | Environmental Biophotonics Research | Innovative Research Award

Assoc. Prof. Dr Murat Solak |  Düzce University | Turkey

Murat Solak is an Associate Professor of Environmental Engineering at Düzce University, affiliated with the Department of Environmental Technologies. His academic training encompasses undergraduate, master’s, and doctoral studies in environmental engineering, with research expertise centered on electrocoagulation processes, wastewater treatment, nutrient removal, and the optimization of electrochemical treatment systems for industrial and municipal effluents. His graduate research focused on phosphate removal and marble wastewater treatment using electrocoagulation, contributing to sustainable and efficient pollution control technologies. Throughout his academic career, he has undertaken progressive roles in higher education, including lecturer and assistant professor positions, and has played an active role in teaching, research supervision, and curriculum development in environmental protection, pollution control, and environmental technologies. His scientific output includes peer-reviewed journal articles that have gained recognition within the environmental engineering and water treatment research communities. According to international bibliometric databases, his scholarly impact is reflected by 346 citations in Google Scholar and 107 citations in Scopus, an h-index of 5 in both databases, and an i10-index of 5 in Google Scholar and 4 in Scopus, indicating consistent research productivity and citation influence in electrochemical wastewater treatment and environmental process engineering.

Profile: Google Scholar

Featured Publications

 

Solak, M., Kılıç, M., Hüseyin, Y., & Şencan, A. (2009). Removal of suspended solids and turbidity from marble processing wastewaters by electrocoagulation: Comparison of electrode materials and electrode connection systems. Journal of Hazardous Materials, 172(1), 345–352.

Yazıcı, M. S. H., & Kılıç, M. (2008). Biosorption of copper(II) by Marrubium globosum subsp. globosum leaves powder: Effect of chemical pretreatment. Journal of Hazardous Materials, 151(2), 669–675.

Kılıç, M., Yazıcı, H., & Solak, M. (2008). A comprehensive study on removal and recovery of copper(II) from aqueous solutions by NaOH-pretreated Marrubium globosum ssp. globosum leaves powder: Potential for utilizing biosorbents. Bioresource Technology, 100(7), 2130–2137.

Solak, M. (2023). Cost-effective processes for denim production wastewater: Dual criterial optimization of techno-economical parameters by RSM and minimization of energy consumption of photo-processes. Processes, 11(9), 1903.

Solak, M. (2007). Elektrokoagülasyon prosesi ile mermer atıksularının arıtılması (Master’s thesis). Süleyman Demirel University, Institute of Science.

Solak, M. (2023). Application of classical Fenton process and advanced photo electro-Fenton process for the degradation of COD from wood processing wastewater: A comparative study. Sakarya University Journal of Science, 27(3), 512.

Solak, M. (2023). Technoeconomic analysis of hybrid advanced-oxidation processes for the treatment of ultrafiltration filtrate wastewaters, a byprocess of yeast production. Journal of Environmental Engineering, 149(10).

Solak, M. (2019). Hibrit elektrokoagülasyon/elektrooksidasyon prosesleri ile denim ürün üretim atıksularının arıtımı. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 23(3), 780–786.

Solak, M., Baldan Pakdil, N., & Kılıç, M. (2018). Removal of phosphorus from potato chips processing wastewater by electrocoagulation process: Comparison of electrode material. Sakarya University Journal of Science.

Solak, M., & Tekin Karaköse, R. (2023). Modeling of E. coli inactivation from solutions using GInaFiT via hybrid electrode-connected electro-disinfection process. Bilge International Journal of Science and Technology Research, 7(2), 142–155.

 

Esra Demir Unal | Optical Bioimaging Research| Best Researcher Award

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Assist. Prof. Dr. Esra Demir Unal | Optical Bioimaging Research| Best Researcher Award

Assist. Prof. Dr. Esra Demir Unal | Ankara Yıldırım Beyazıt University | Turkey

Dr. Esra Demir Ünal is a board-certified neurologist and academic clinician serving as an Assistant Professor in the Division of Neurology at Ankara Yıldırım Beyazıt University School of Medicine and as Chief of the Movement Disorders Clinic at Ankara City Hospital. Her clinical expertise encompasses movement disorders and neurodegenerative diseases, including Parkinson’s disease, Huntington’s disease, multiple sclerosis, and stroke, with particular specialization in advanced device-assisted and infusion therapies such as Deep Brain Stimulation management, Duodopa intestinal gel, apomorphine pump treatments, and botulinum toxin applications for dystonia and tremor. Alongside supervising neurology residents and coordinating complex outpatient services, she leads translational neuroscience research within the AYBU Department of Neuroscience Laboratory. Her research integrates quantitative electroencephalography, artificial intelligence–based signal analysis, neuroimaging, and molecular biomarkers to identify early diagnostic and prognostic indicators of neurodegeneration, visual pathway dysfunction, atherosclerotic contributions in Parkinson’s disease, and oxidative stress markers in stroke. Dr. Demir Ünal has authored more than 30 peer-reviewed scientific documents, accumulating over 600 scholarly citations, with a current h-index of 18, reflecting sustained impact across clinical and translational neuroscience. Her work has received international recognition from professional neurological societies, and her academic vision centers on redefining early neurological diagnosis through the convergence of biophysical biomarkers, computational modeling, and clinically scalable technologies.

Profile: Orcid

Featured Publications

Demir Ünal, E. (2026). A neuroimmunological axis between systemic autoimmunity and Parkinson’s disease following long-COVID: A case series. Journal of Neuroimmunology.

Demir Ünal, E. (2025). Phytomedicine interventions in mental health: Mechanisms and implications. In Phytomedicine interventions in mental health. Springer.

Demir Ünal, E. (2025). The role of metabo-inflammatory syndrome and ferropathological processes in atherosclerotic plaque formation in Parkinson’s disease: Insights from high-resolution carotid duplex analysis. Turk Kardiyoloji Dernegi Arsivi–Archives of the Turkish Society of Cardiology.

Demir Ünal, E. (2025). Comparative prospective analysis of pharmacological modalities in Alzheimer’s disease. Meandros Medical and Dental Journal.

Demir Ünal, E., Dagdelen, Y. E. (2025). Multidimensional characterization of Parkinson’s disease subtypes through motor neuron excitability and peripheral immune dynamics: Insights from F-wave modulation metrics. Diagnostics, 16(1), 27.

Demir Ünal, E., Çamcı, M., Akdeniz, G. (2025). Multidimensional phenotyping and predictive neuropsychological modeling of socio-cognitive endophenotypes in early Parkinson’s disease. Brain Sciences, 15(11), 1223.

Demir Ünal, E. (2025). Current neuroinnovative techniques with machine learning algorithms in the diagnosis and classification of neurodegenerative diseases. In Advances in neuroinformatics. IGI Global.

Meliha Fındık | Biomarker Imaging Approaches | Best Researcher Award

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Assist. Prof. Dr. Meliha Fındık | Biomarker Imaging Approaches | Best Researcher Award

Assist. Prof. Dr. Meliha Fındık | balikesir üniversity | Turkey

Dr. Meliha Findik is an Assistant Professor of Emergency Medicine at the Faculty of Medicine, Balıkesir University, with a strong clinical and academic background in acute care medicine. She graduated from Kırıkkale University Faculty of Medicine and has since gained extensive professional experience by working in both public and private healthcare institutions, including Tokat Almus State Hospital, Bayındır Ankara Söğütözü Hospital, Başkent University Faculty of Medicine, and Cizre Dr. Selahattin Cizrelioglu State Hospital. Her clinical practice is complemented by active involvement in academic research, particularly in areas relevant to emergency medicine and patient management. Dr. Findik has contributed to the scientific literature with a growing body of scholarly work, reflected in a total of 31 scientific documents indexed in academic databases. Her research outputs have received 43 citations, demonstrating the relevance and impact of her work within the medical research community. She holds an h-index of 4, indicating consistent citation of her publications, and an i10-index of 1, highlighting at least one publication with significant citation influence. Proficient in English, Dr. FINDIK continues to balance clinical responsibilities with academic productivity, contributing to evidence-based emergency medicine through research, education, and institutional service.

Profile: Google Scholar

Featured Publications

  • Muratoglu, M., Kavalci, C., Kilicli, E., Findik, M., Kayipmaz, A. E., & Durukan, P. (2016). Serum neutrophil gelatinase-associated lipocalin levels in early detection of contrast-induced nephropathy. Clinical and Investigative Medicine, 39(3), E88–E94.

  • Kayipmaz, A. E., Findik, M., Kavalci, C., Akdur, A., Moray, G., & Haberal, M. (2017). Red blood cell distribution width increases during infection in renal and liver graft recipients. Experimental and Clinical Transplantation: Official Journal of the Middle East Society for Organ Transplantation, 15, 8–12.

  • Findik, M., Kayipmaz, A. E., Kavalci, C., Sencelikel, T., Muratoglu, M., Akcebe, A., et al. (2020). Why USB-endoscope laryngoscopy is as effective as video laryngoscopy. Clinical and Investigative Medicine, 43(2), E55–E59.

  • Aksel, G., Kavalcı, C., Kılıçlı, E., Fındık, M., & Kavalcı, G. (2014). Deli bal zehirlenmesi: Olgu sunumu. CausaPedia, (3), 790, 1–4.

  • Güngörer, B., Findik, M., & Kayipmaz, A. E. (2021). USB-endoscope laryngoscope is as effective as video laryngoscope in difficult intubation. Disaster and Emergency Medicine Journal, 6(2), 75–79.

Mritunjay Rai | Real-Time Imaging Solutions | Best Researcher Award

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Assist. Prof. Dr. Mritunjay Rai | Real-Time Imaging Solutions | Best Researcher Award

Shri Ramswaroop Memorial Univerity | India

Dr. Mritunjay Rai is an academic and researcher in Electronics and Communication Engineering with expertise in digital and thermal image processing, machine learning, and data science. He earned his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, focusing on developing and comparing real-time algorithms using thermal images for diverse applications. His research integrates image analysis and artificial intelligence, contributing to advancements in healthcare, surveillance, and intelligent transportation systems. He has published extensively in reputed SCI and Scopus-indexed journals on topics such as infrared image-based motion detection, early detection of diabetic foot ulcers, and smart traffic management using deep learning. Dr. Rai also led a government-funded project on thermal imaging-based smart healthcare for early diagnosis of diabetic complications. In addition to research, he plays an active role in academic quality assurance, innovation, and institutional development, promoting the integration of intelligent imaging technologies for practical and socially relevant problem-solving.

Profiles : Scopus | Orcid 

Featured Publications 

  • Maurya, T., Kumar, S., Rai, M., Saxena, A. K., Goel, N., & Gupta, G. (2025). Real time vehicle classification using deep learning—Smart traffic management. Engineering Reports.

  • Nain, V., Shyam, H. S., Kumar, N., Tripathi, P., & Rai, M. (2024). A study on object detection using artificial intelligence and image processing-based methods. In Mathematical models using artificial intelligence for surveillance systems (Chapter 6). Wiley.

  • Singh, S., Pandey, J. K., Rai, M., & Saxena, A. K. (2024). Advancements in facial expression recognition using machine and deep learning techniques. In Machine and deep learning techniques for emotion detection (Chapter 7). IGI Global.

  • Tripathi, P., Kumar, N., Paroha, K. K., Rai, M., & Panda, M. K. (2024). Applications of deep learning in healthcare in the framework of Industry 5.0. In Infrastructure possibilities and human-centered approaches with Industry 5.0 (Chapter 5). IGI Global.

  • Rai, M., Chandra, B., Tripathi, P., & Kumar, N. (2024). Artificial intelligence and image enhancement–based methodologies used for detection of tumor in MRIs of human brain. In Artificial intelligence in biomedical and modern healthcare informatics. Elsevier.

  • Veeraiah, V., Sharma, P., Saxena, K., Sahu, N. K., Sharma, K., Pandey, J. K., Yadav, R. K., & Rai, M. (2024). Brain tumor detection for recognizing critical brain damage in patients using computer vision. In Internet of things enabled machine learning for biomedical applications (Chapter 9). CRC Press.

  • Singh, S., Rai, M., Pandey, J. K., & Saxena, A. K. (2024). Emotional intelligence and collaborative dynamics in Industry 5.0 for human-machine interactions. In Human-machine collaboration and emotional intelligence in Industry 5.0 (Chapter 10). IGI Global.

Buddhika Sampath Kumara Sinhasana PS Naidelage | Fluorescence Imaging Methods | Best Researcher Award

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Mr. Buddhika Sampath Kumara Sinhasana PS Naidelage | Fluorescence Imaging Methods | Best Researcher Award

Queensland University of Technology | Australia

Mr. Buddhika Sampath Kumara Sinhasana PS Naidelage is a mechanical engineer and PhD researcher in Biomedical Engineering at Queensland University of Technology (QUT), Australia, supported by an Australian Research Council (ARC) scholarship. He specializes in developing nanostructured surfaces for biomedical implants to enhance biocompatibility and antimicrobial performance, working with Stryker and utilizing advanced cleanroom facilities at the Australian National Fabrication Facility (ANFF). With extensive experience in production plant design, fabrication, piping and instrumentation, and project management, he has led Sri Lanka’s first graphene manufacturing facility at SLINTEC and contributed to TiO₂ production, industrial mixer fabrication, and mineral-based process development. He has also provided consultancy for industrial process optimization, plant layout, and equipment design for multiple government and commercial projects. Recognized with numerous awards, including faculty recognition at Sabaragamuwa University, national scholarships, and research grants from the Asian Development Bank, he is a professional member of Engineers Australia and holds memberships in IEEE, IESL, and the Engineering Council of Sri Lanka. His expertise spans nanofabrication, additive manufacturing, surface engineering, mechanical design, and multidisciplinary project leadership, with a strong focus on innovation, translational research, and stakeholder collaboration.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications 

Ebenezer, P., Buddhika, S. P. S. N., Senevirathne, S. W. M. A. I., Bray, L. J., Wangchuk, P., Mathew, A., & Yarlagadda, P. K. D. V. (2025). Advancements in antimicrobial surface coatings using metal/metal oxide nanoparticles, antibiotics, and phytochemicals. Nanomaterials.

Department of Engineering Technology, Faculty of Technology, Sabaragamuwa University of Sri Lanka, Buddhika, S. P. S. N., & Department of Mechanical Engineering, Faculty of Engineering, University of Moratuwa. (2024). Design and development of a bowling machine for effective and efficient cricket batting training. Journal of Mechanical Engineering.

Samarathunga, A. I., Kulasooriya, W. G. C. M., Sewwandi, H. M. D. U., Vithanage, V., Induranga, A., Buddhika, S. P. S. N., & Koswattage, K. (2024). Experimental analysis of mechanical property enhancement of paper-pulp-based packaging materials using biodegradable additives. Sustainability.

Buddhika, S. P. S. N., Mirkhalaf, M., & Yarlagadda, P. K. D. V. (2024). Nano-roughness modification of 3D printed poly(lactic acid) polymer via alkaline wet etching towards biomedical applications. Journal of Applied Science and Engineering.

Wijesinghe, I., Wimalachandra, S., Chathuranga, H., Marriam, I., Buddhika, S. P. S. N., Kondarage, Y., Ponnuru, H., Abdolazizi, A., Tebyetekerwa, M., Bai, R., et al. (2024). Recent advances in MXene/elastomer nanocomposites: Synthesis, properties and applications. European Polymer Journal.

Buddhika, S. P. S. N. (2023). Comparative study on the mechanical properties of concrete by substituting cement with sugarcane bagasse ash. IEEE MERCON 2023.

Buddhika, S. P. S. N., Senevirathne, S. W. M. A. I., Mathew, A., Bray, L., Mirkhalaf, M., & Yarlagadda, P. K. D. V. (2023). Progress in nanostructured mechano-bactericidal polymeric surfaces for biomedical applications. Nanomaterials.

Afsaneh Shahbazi | Advanced Light Sources | Best Researcher Award

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Prof. Dr. Afsaneh Shahbazi | Advanced Light Sources | Best Researcher Award

Beheshti University | Iran

Prof. Dr. Afsaneh Shahbazi is an Associate Professor of Environmental Engineering at the Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran. She holds a Ph.D. in Environmental Engineering from Tarbiat Modares University, where she developed functionalized mesoporous silica nano-adsorbents for heavy metal removal, along with master’s and bachelor’s degrees in Environmental Engineering from the University of Tehran and Isfahan University of Technology. Her research focuses on wastewater treatment, adsorption and membrane technologies, water quality modeling, and environmental sustainability. She has undertaken international research collaborations in Germany and Belgium, investigating microplastic degradation, pollutant remediation, and catalytic oxidation. Dr. Shahbazi has published extensively in peer-reviewed journals, supervised numerous graduate students, and serves on editorial boards in her field. Recognized with multiple national and international research awards, she continues to contribute to innovative, sustainable solutions for water and soil pollution, integrating nanotechnology and environmental chemistry to promote cleaner production and sustainable resource management.

Profile : Scopus | Google Scholar

Featured Publications 

  • Nadi, A., Bijari, M., Dehghan, R., & Shahbazi, A. (2025). Photocatalytic degradation of Escherichia coli bacteria by graphitic carbon nitride: A comparative study under visible light and dark conditions in aqueous solutions. Journal of Water and Sustainable Development, 12(1), 14–25.

  • Mehrjo, F., & Shahbazi, A. (2025). Revolutionary dual nanofiller embedded nanofiltration membranes: Fabricated CQDs and PMO-PPD modified membranes for experimental design optimization of simultaneous removal of Pb(II), MO, and NaCl from wastewater. Environmental Science: Water Research & Technology, 11(2), 435–448.

  • Dousti, S., Bijari, M., Shahbazi, A., & Mahmoodi, B. (2025). A novel dual and synergetic effect of NH₃ and CO₂ atmospheric gases in the synthesis of a low-energy LED light-activated g-C₃N₄ photocatalyst for efficient organic pollutant degradation. New Journal of Chemistry, 49(32), 13805–13816.

  • Bijari, M., Shahbazi, A., Vatanpour, V., & Younesi, H. (2025). Single-layer vs multilayer MXene nanofillers: Comparing their influences on poly(ether sulfone) NF membrane performance in wastewater treatment. ACS Applied Polymer Materials, 7(5), 2898–2912.

  • Bijari, M., Shahbazi, A., & Kashani, M. R. (2025). Improved flux and anti-fouling performance of an MXene-blended polyethersulfone nanofiltration membrane for effective treatment of actual textile wastewater. Environmental Processes, 12(2), 26.

  • Kamari, S., Shahbazi, A., & Ghorbani, F. (2024). Adsorption optimization and modeling of Hg²⁺ ions from aqueous solutions using response surface methodology by SNPs–CS bionanocomposite produced from rice husk agro-industrial waste as a novel environmentally friendly bionanoadsorbent. Chemosphere, 351, 141279.*

  • Dousti, S., Mahmoodi, B., Bijari, M., & Shahbazi, A. (2024). Investigating the effect of various precursors in the synthesis and improvement of the photocatalytic performance of graphite carbon nitride in the degradation of Rhodamine B dye under visible light. Journal of Color Science and Technology, 18(2), 135–150.

 

Yasser Rajabi | Nonlinear Optical Applications | Best Researcher Award

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Assoc. Prof. Dr. Yasser Rajabi | Nonlinear Optical Applications | Best Researcher Award

Damghan university | Iran

Assoc. Prof. Dr. Yasser Rajabi is an Assistant Professor of Physics specializing in Optics and Laser at Damghan University, Iran. He earned his Ph.D. in Physics-Optics from the Institute for Advanced Studies in Basic Sciences (IASBS), where he conducted pioneering research on atmospheric turbulence, showing deviations from the classical Kolmogorov model and developing novel methods using differential and covariance analyses of angle-of-arrival measurements. His M.Sc. research focused on the Talbot Effect, exploring wavelength-dependent self-imaging phenomena and their application in determining the spectral response of CCDs, attracting industry attention for scientific imaging. His research interests span nonlinear optics, diffraction, holography, wavefront sensing, and optical instrument design. Dr. Rajabi has established a Laser Lab and an Advanced Optics Lab at Damghan University, collaborated with knowledge-based companies, and introduced specialized courses in laser physics, fiber optics, holography, interferometry, and applied optics. Recognized as an Outstanding University Professor in Teaching and consistently excelling academically, he combines innovative research with dedicated mentorship, significantly advancing both theoretical and applied optical sciences.

Profile : Scopus | Orcid | Google Scholar

Featured Publications 

  • Esmaili, S., & Rajabi, Y. (2022). Accurate determination of oscillating mass displacement in seismometry using the moiré technique. Instruments and Experimental Techniques.

  • Dadkhah, S., Rajabi, Y., & Zare, E. N. (2021). Thermal lensing effect in laser-nanofluids based on poly(aniline-co-orthophenylenediamine) @ TiO₂ interaction. Journal of Electronic Materials, 1–12.

  • Rajabi, Y., et al. (2021). Influence of preparation method on the structural, linear, and nonlinear optical properties of TiN nanoparticles. Journal of Materials Science: Materials in Electronics, 32, 19455–19477.

  • Nouroozi, A., Rajabi, Y., & Zare, E. N. (2020). Nonlinear optical properties of poly(aniline-co-pyrrole) @ ZnO-based nanofluid. Optical Materials.

  • Darabi, H., Adelifard, M., & Rajabi, Y. (n.d.). Characterization of nonlinear optical refractive index for graphene oxide–silicon oxide nanohybrid composite. Journal of Nonlinear Optical Physics & Materials, 28(01), 1950005.

  • Talebi, S., Rajabi, Y., & Ardyanian, M. (n.d.). Enhanced nonlinear optical properties of ZnO: WO₃ nanocomposites. Journal of Nanophotonics, 13(1), 016003.

  • Rasouli, S., & Rajabi, Y. (2016). Investigation of the inhomogeneity of atmospheric turbulence at day and night times. Optics & Laser Technology, 77, 40–50.

  • Rasouli, S., Niry, M. D., Rajabi, Y., Panahi, A. A., & Nemiela, J. (2014). Measuring anisotropy in atmospheric turbulence by means of moiré deflectometry. Journal of Applied Fluid Mechanics.

 

Xavier Munoz Berbel | Optical Biosensing Technologies | Advanced Sensors Award

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Dr. Xavier Munoz Berbel | Optical Biosensing Technologies | Advanced Sensors Award

Barcelona Institute of Microelectronics (IMB-CNM, CSIC) | Spain

Dr. Xavier Munoz Berbel is a scientist and associate professor at the Autonomous University of Barcelona (UAB) whose research focuses on developing innovative sensing technologies for healthcare, environmental monitoring, and food analysis. Combining expertise in microelectronics, photonics, electrochemistry, and microfluidics with microbiology and neuroscience, he has pioneered biosensing platforms for bacterial detection, including patented impedance spectroscopy systems and a novel electrochromic-based sepsis detection kit. His work also advances organ-on-a-chip devices for real-time cell monitoring and silk-fibroin biosensors compatible with CMOS fabrication, enabling durable and scalable biosensing solutions. With numerous scientific publications, patents, and leadership roles in national and European projects, Dr. Munoz Berbel bridges disciplines to drive innovation from lab to market. He serves as Associate Editor of Diagnostics (MDPI), advises technology companies, mentors young researchers, and actively promotes scientific communication, contributing significantly to the advancement of next-generation biosensing and point-of-care diagnostics.

Profile : Scopus | Orcid 

Featured Publications 

  • Marquez, A., Jimenez-Jorquera, C., Dominguez, C., & Munoz-Berbel, X. (2017). Electrodepositable alginate membranes for enzymatic sensors: An amperometric glucose biosensor for whole blood analysis. Biosensors and Bioelectronics, 97, 136–142.

  • Marquez, A., Aymerich, J., Dei, M., …, & Munoz-Berbel, X. (2019). Reconfigurable multiplexed point-of-care system for monitoring type 1 diabetes patients. Biosensors and Bioelectronics, 136, 38–46.

  • Dietvorst, J., Vilaplana, L., Uria, N., Marco, M.-P., & Munoz-Berbel, X. (2020). Current and near-future technologies for antibiotic susceptibility testing and resistant bacteria detection. TrAC Trends in Analytical Chemistry, 127, 115891.

  • Ferrer-Vilanova, A., Alonso, Y., Dietvorst, J., …, & Munoz-Berbel, X. (2021). Sonochemical coating of Prussian Blue for the production of smart bacterial-sensing hospital textiles. Ultrasonics Sonochemistry, 70, 105317.

  • Dietvorst, J., Ferrer-Vilanova, A., Iyengar, S. N., …, & Munoz-Berbel, X. (2022). Bacteria detection at a single-cell level through a cyanotype-based photochemistry reaction. Lab on a Chip, 22(2), 787–792.*

Salama Ahmed Yassen | Nanoscale Photonics Research | Best Scholar Award

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Ms. Salama Ahmed Yassen | Nanoscale Photonics Research | Best Scholar Award

Hodeidah University | Yemen

Ms. Salama Ahmed Yassen is a physicist and researcher specializing in nanomaterials, spectroscopy, and the physicochemical characterization of functionalized metal oxide nanoparticles. Her doctoral research explored the structural, bioactive, and physicochemical properties of metal oxide nanostructures for biomedical applications, contributing valuable insights to the field of nanotechnology and materials science. She has published multiple scientific papers and holds a patent on the synthesis and functionalization of cerium oxide nanoflakes for biomedical use. Alongside her research, Ms. Yassen has extensive teaching experience in physics, covering areas such as general physics, optics, and nuclear physics. She is highly skilled in analytical and spectroscopic techniques, including X-ray diffraction, FTIR, and UV–Vis spectrophotometry. Her active participation in international and national conferences reflects her dedication to scientific advancement, academic excellence, and collaboration within the global research community.

Profile : Scopus 

Featured Publications 

  • Yaseen, S. A., Alameen, A. S., Saif, F. A., Undre, S. B., & Undre, P. B. (2025). Synthesis of flake-like nanoceria, functionalization, and evaluation of their biological activity in vitro. Journal of the Indian Chemical Society, 101754.

  • Yaseen, S. A., Alameen, A. S., Saif, F. A., Undre, S. B., & Undre, P. B. (2022). Assessment of physicochemical properties of nanoceria dispersed in aqueous surfactant at 298.15 K. Chemical Papers, 76, 7693–7713.

  • Yaseen, S. A., Alameen, A. S., Saif, F. A., Undre, S. B., & Undre, P. B. (2021). Intermolecular dispersion potential of cerium oxide nanoflakes with aqueous polymer and amino acids studied using physicochemical and optical properties at 303.15 K. Journal of Molecular Liquids, 340, 117113.

  • Yaseen, S. A., Alameen, A. S., Saif, F. A., Undre, S. B., Khirade, P. W., & Undre, P. B. (2020). Dispersion and optical activities of copper (II) metal oxide nanoparticles with polyethylene glycol in aqueous medium studied with physicochemical properties and UV-Vis spectrophotometry. Integrated Ferroelectrics, 205(1), 131–145.

  • Yaseen, S. A., Alameen, A. S., Saif, F. A., Undre, S. B., & Undre, P. B. (2020). Study of volumetric and optical properties of cerium oxide nanofluid. Journal of Physics: Conference Series, 1644(1), 012030.

  • Yaseen, S. A., Alameen, A. S., Saif, F. A., Undre, S. B., & Undre, P. B. (2020, June). The study of CeO2 nanoparticles dispersed in water with folic acid. In AIP Conference Proceedings (Vol. 2244, No. 1, p. 070028).

  • Yaseen, S. A., Undre, P. B., Saif, F. A., Patil, S. S., & Khirade, P. W. (2017). Dielectric and FTIR studies on the hydrogen-bonded binary system of ester and alcohol. Ferroelectrics, 519(1), 49–60.

  • Al-Horaibi, S. A., Al-Odayni, A. B., Al-Saeedy, M., Al-Ostoot, F. H., Al-Salihy, A., Ghaleb, J. Q., Arwa, A., Saif, F. A., Yaseen, S. A., & Waseem, S. S. (2023). Enhancing photovoltaic efficiency with SQI-Br and SQI-I sensitizers: A comparative analysis. Open Chemistry, 21(1), 20230168.