Assoc. Prof. Dr. Xingyu Yang | Imaging Lidar Technology | Best Researcher Award 

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Assoc. Prof. Dr. Xingyu Yang | Imaging Lidar Technology | Best Researcher Award 

Assoc. Prof. Dr. Xingyu Yang | Shijiazhuang Tiedao University | China

Dr. Yang Xingyu is a distinguished researcher in Light Detection and Ranging (LiDAR), Artificial Intelligence, and Machine Vision, known for advancing high-resolution laser imaging, intelligent sensing, and non-scanning 3D radar technologies through impactful scientific and engineering contributions. His research spans optical coding, spatial–temporal multiplexing, weak-signal enhancement, beam-shaping optimization, and ultra-high-SNR 3D imaging, driving major improvements in detection accuracy, imaging quality, long-range sensing, and real-time data processing across diverse environments. He has published influential work in leading journals such as Optics and Lasers in Engineering, Applied Optics, Optics Communications, IEEE Photonics Technology Letters, and Chinese Physics B, covering innovations ranging from cluster LiDAR optimization to low-cost large-FOV infrared devices and non-line-of-sight object localization. His research outcomes integrate optical engineering with AI-driven algorithms, supporting applications in autonomous driving, robotics, intelligent transportation, UAV systems, electromagnetic environment assessment, and intelligent rail transit. He has contributed significantly to major scientific projects relating to laser radar development, road-network reliability, data-management platforms, ultra-high-voltage environment testing, and UAV cooperative planning. His portfolio also includes numerous invention patents and software copyrights, demonstrating strong translational impact from theory to practical systems. Dr. Yang has earned multiple competitive awards in provincial innovation competitions, robotics, AI design, autonomous systems, and digital-economy innovation, reflecting broad recognition of his technical leadership. He has guided student teams to national first prizes in intelligent vehicle design, AI challenges, robotics innovation, and other engineering competitions, highlighting his commitment to mentoring future innovators. His professional influence extends to academic and industrial communities through active service in artificial intelligence, ordnance technology, and UAV associations. With strong foundations in information engineering, optical sensing, and intelligent systems, Dr. Yang continues to advance cutting-edge research that strengthens the future of imaging radar, smart perception, and AI-empowered sensing technologies.

Profile: Scopus

Featured Publications

Yang, X., Hao, L., Wang, H., & Wang, Y. (n.d.). Spatial and temporal multiplexing array imaging lidar technique based on OOCDMA. Optics and Lasers in Engineering.

Yang, X., Hao, L., & Wang, Y. (n.d.). Improved imaging quality of cluster LiDAR by optimizing laser energy distribution using an effective optical approach. Optics Communications.

Yang, X., & Wang, Y. (n.d.). Low-cost, large-visual-field pyroelectric infrared linear device. Applied Optics.

Yang, X., Li, P., & Meng, X. (n.d.). Edge artifact improvement in multipixel LiDAR imaging via tailored optical beam shaping. Optics Communications.

Yang, X., Su, J., Hao, L., & Wang, Y. (n.d.). An optical OCDMA coding and 3D imaging technique for non-scanning full-waveform LiDAR system. Applied Optics.

Yang, X., Hao, L., & Wang, Y. (n.d.). Adjustable higher SNR and long-range 3D-imaging cluster LiDAR based on a coded full-waveform technique. Applied Optics.

 

Dr. Sang Bong Lee | Optical Bioimaging Research | Best Researcher Award 

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Dr. Sang Bong Lee | Optical Bioimaging Research | Best Researcher Award 

Dr. Sang Bong Lee | SimVista Inc. | South Korea

Dr. Sang Bong Lee is a distinguished researcher in nuclear medicine, molecular imaging, and biophotonics, focusing on the development of theranostic nanoplatforms for cancer and inflammatory diseases. He has pioneered NMDAR-targeted imaging probes for tracking M1 macrophages and immune cells, enabling precise visualization of disease processes. His work on radionuclide-embedded gold and silica nanoparticles has advanced the field of molecular diagnostics and image-guided therapy. Dr. Lee has established bioadhesive orthotopic and metastatic colorectal cancer models that closely mimic human clinical conditions, providing improved platforms for translational research. He has innovated 4D-printed microrobot-based drug delivery systems that enhance targeted therapy and personalized medicine. His research integrates nanomedicine, molecular imaging, and advanced biomaterials to develop clinically relevant therapeutics. In addition, he leads the creation of cardiovascular and neurovascular intervention simulators, which combine physical vascular models, pulsatile pumps, and AI-enhanced virtual X-ray imaging to offer realistic, radiation-free training for interventional cardiologists and neurointerventionists. Dr. Lee’s work spans fundamental science to translational applications, bridging multidisciplinary fields including chemistry, medicine, engineering, and materials science. He has published extensively in SCI/SCIE-indexed journals and holds multiple patents in theranostic nanocomposites, microrobot systems, and simulation technologies. His research has introduced new approaches in immune-cell and platelet tracking, mesoporous silica and gold nanoparticle theranostics, and nanomaterial-based imaging probes. By integrating experimental innovation with clinical relevance, Dr. Lee has significantly advanced personalized and precision medicine. His contributions continue to influence molecular imaging, drug delivery, and medical training worldwide, setting benchmarks for innovation in biophotonics research. His work fosters collaboration across institutions, promoting the translation of laboratory discoveries into real-world healthcare solutions. Through his research, Dr. Lee has made a lasting impact on diagnostics, therapeutics, and advanced medical education, shaping the future of molecular imaging and biophotonics.

Profile: Google Scholar

Featured Publications

Lee, S. B., Kim, H. L., Jeong, H. J., Lim, S. T., Sohn, M. H., & Kim, D. W. (2013). Mesoporous silica nanoparticle pretargeting for PET imaging based on a rapid bioorthogonal reaction in a living body. Angewandte Chemie International Edition, 52(40), 203.

Nguyen, K. T., Go, G., Jin, Z., Darmawan, B. A., Yoo, A., Kim, S., Nan, M., & Lee, S. B., et al. (2021). A magnetically guided self-rolled microrobot for targeted drug delivery, real-time X-ray imaging, and microrobot retrieval. Advanced Healthcare Materials, 10(6), 2001681.

Sachin, K., Jadhav, V. H., Kim, E. M., Kim, H. L., Lee, S. B., Jeong, H. J., & Lim, S. T., et al. (2012). F-18 labeling protocol of peptides based on chemically orthogonal strain-promoted cycloaddition under physiologically friendly reaction conditions. Bioconjugate Chemistry, 23(8), 1680–1686.

Darmawan, B. A., Lee, S. B., Go, G., Nguyen, K. T., Lee, H. S., Minghui, N., & Hong, A., et al. (2020). Self-folded microrobot for active drug delivery and rapid ultrasound-triggered drug release. Sensors and Actuators B: Chemical, 128752, 75.

 

Dr. ‪Ibrahim Karim Abbas | Environmental Biophotonics Research | Editorial Board Member

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Dr. ‪Ibrahim Karim Abbas | Environmental Biophotonics Research | Editorial Board Member

Dr. ‪Ibrahim Karim Abbas | University of Baghdad | Iraq

Dr. Ibrahim Karim Abbas is a plasma physics researcher whose work centers on advanced plasma systems, spectroscopic diagnostics, and plasma-assisted nanomaterial synthesis. He has developed and characterized a variety of plasma sources, including non-thermal plasma needles, dielectric barrier discharges, portable plasma medical devices, and atmospheric plasma jets, contributing to progress in both fundamental plasma science and applied technologies. His research spans antibacterial plasma applications, plasma–biological interactions, and the design of medical plasma tools supported by patented innovations. Dr. Abbas is widely recognized for synthesizing and analyzing diverse metal oxide nanoparticles—such as copper oxide, cadmium oxide, magnesium oxide, cobalt oxide, zinc oxide, calcium oxide, and nickel oxide—using atmospheric plasma and laser ablation methods, with structural, electrical, and spectroscopic investigations forming a core part of his work. His publications appear in numerous reputable Scopus- and Clarivate-indexed journals, covering themes like plasma parameter optimization, optical emission spectroscopy, and laser-induced plasma behavior. He has contributed to understanding how applied voltage, frequency, discharge conditions, gas flow rates, and laser energy influence plasma characteristics in different environments. His studies on plasma-assisted antibacterial activity and nanoparticle-related biomedical effects further broaden the impact of his research across interdisciplinary fields. Dr. Abbas also serves as a scientific reviewer for several international journals, reflecting his engagement with global scholarship and peer evaluation. His participation in conferences, scientific forums, and academic platforms demonstrates active involvement in research dissemination and community development. He maintains professional visibility across global indexing and academic networks, contributing to scientific dialogue and collaborative opportunities. His expertise in plasma diagnostics, nanomaterial engineering, and applied plasma technologies underscores his role in advancing modern plasma research with both theoretical and practical significance.

Profiles: Scopus | Orcid

Featured Publications

Abbas, I. K. (2025). Investigation of the characterization and synthesis of copper oxide nanoparticles by atmospheric plasma jet. Iranian Journal of Science.

Abbas, I. K. (2025). Investigation of the structural characteristics of cadmium oxide nanoparticles synthesised by laser ablation. Journal of Nano Research.

Abbas, I. K., & Aadim, K. A. (2024). Investigation of the impacts of laser energy on calcium plasma and calculated plasma parameters by using the O. E. S. technique. AIP Conference Proceedings.

Abbas, I. K. (2024, December 20). Effects of increasing applied voltage and frequency on plasma parameters in dielectric barrier discharge plasma. Physical Sciences and Technology.

 

Dr. Vahid Sabaghi | Biotechnology | Editorial Board Member

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Dr. Vahid Sabaghi | Biotechnology | Editorial Board Member

Dr. Vahid Sabaghi | Nanotechnology Promotion Institution of Auxin | Iran

Vahid Sabaghi is a nanochemist whose research focuses on the design, synthesis, and advanced characterization of multifunctional nanomaterials for theranostic, photocatalytic, and biomedical applications, with particular emphasis on porous structures, intelligent drug-delivery platforms, and tumor-microenvironment–responsive nanosystems. His work spans the development of metal oxide nanomaterials, MOF-derived nanostructures, MnO₂-based theranostics, lanthanide-enhanced imaging agents, and pH-responsive drug-delivery composites, contributing significantly to targeted therapy and multimodal imaging technologies. He has published impactful studies on ZnO-PEG-DOX nanocomposites, hierarchical α-MnO₂ platforms for MRI enhancement, and multifunctional MnO₂ systems capable of hypoxia modulation, optical biosensing, and controlled drug release. His contributions also extend to the synthesis of AlON composites, transparent ceramic materials, and photocatalytically active TiO₂ and copper sulfide nanomaterials with improved pollutant-degradation efficiency. Sabaghi’s expertise in structural and morphological analysis includes XRD, SEM, TEM, BET, thermal analysis, photoluminescence, and related characterization techniques. His research interests cover nanoparticle engineering, multifunctional nanoplatforms, porous material synthesis, imaging-guided therapy, photocatalysis, and nanotechnology-based biomedical innovations. He has been acknowledged for outstanding academic performance, national scientific excellence, and contributions to nanoscience education and research. His body of work reflects a strong commitment to developing next-generation nanosystems for precision medicine, environmental applications, and advanced material technologies, positioning him as a promising researcher in modern nanochemistry and nanotechnology.

Profile: Google Scholar

Featured Publications

Sabaghi, V., Davar, F., & Fereshteh, Z. (2018). ZnS nanoparticles prepared via simple reflux and hydrothermal method: Optical and photocatalytic properties. Ceramics International, 44(7), 7545–7556.

Davar, F., Shayan, N., Hojjati‐Najafabadi, A., Sabaghi, V., & Hasani, S. (2017). Development of ZrO₂–MgO nanocomposite powders by the modified sol‐gel method. International Journal of Applied Ceramic Technology, 14(2), 211–219.

Sabaghi, V., Davar, F., Rashidi-Ranjbar, P., & Abdi, A. (2023). Synthesis and evaluation of pH-responsive mesoporous ZnO/PEG/DOX nanocomposite based on Zn-HKUST-1 MOF nanostructure for targeted drug delivery. Journal of Porous Materials, 30(1), 201–209.

Sabaghi, V., Davar, F., & Taherian, M. H. (2019). Ultrasonic-assisted preparation of AlON from alumina/carbon core-shell nanoparticle. Ceramics International, 45(3), 3350–3358.

Sabaghi, V., Rashidi-Ranjbar, P., Davar, F., & Sharif-Paghaleh, E. (2023). Hierarchical design of intelligent α-MnO₂-based theranostics nanoplatform for TME-activated drug delivery and T1-weighted MRI. Journal of Drug Delivery Science and Technology, Article 104262.

Sabaghi, V., Davar, F., & Taherian, M. H. (2019). Preparation of alumina/AlON and AlON/AlN composites from Al₂O₃/carbon nanocomposite by solvothermal method. Ceramics International, 45(5), 6074–6084.

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.