Belen Cueto Martin | Physical Education | Research Excellence Distinction Award

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Ms. Belen Cueto Martin | Physical Education | Research Excellence Distinction Award

Facultad de Ciencias del Deporte, Granada | Spain

Ms. Belen Cueto Martin is a researcher and academic specializing in sports science, physical education, health promotion through sport, and the physiological and motivational determinants of athletic performance. Her work focuses on the evaluation of training processes, assessment of physical conditioning, psychophysiological responses to sport participation, and the role of educational models in shaping motivation and engagement among students and athletes. She has contributed extensively to studies examining motivational regulation, basic psychological needs in sport education, and the influence of innovative pedagogical methodologies on student outcomes. Her research also explores health-related initiatives in national and international sports federations, particularly within swimming, highlighting the challenges and responsibilities of these organizations in promoting athlete well-being and public health. She has collaborated on multidisciplinary investigations addressing the impact of fortified nutrition on cognitive performance in youth, the effects of joint physical activity programs on family health, and the analysis of physical performance indicators among adolescents. Additionally, her scholarly contributions extend to the study of eating disorder risks in young athletes, especially within female basketball populations, helping to advance early detection and preventive approaches within youth sport. Her expertise is further reflected in work evaluating warm-up strategies, altitude-training physiological markers, and psychometric tools for assessing physical education environments. Through consistent involvement in academic research groups, scientific collaborations, and international dissemination, Belén Cueto-Martín has established a strong profile in applied sport science, educational innovation in physical activity, and evidence-based health promotion in athletic contexts.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Valenzuela-Farias, K. I., de la Cruz-Márquez, J. C., Ávila-Cabreja, J. A., Cueto-Martín, M. B., & Siquier-Coll, J. (2025). Prevalence and risk factors for eating disorders in adolescent female basketball players. Nutrients.

Valenzuela-Farias, K. I., de la Cruz-Márquez, J. C., Ávila-Cabreja, J. A., Cueto-Martín, B., & Siquier-Coll, J. (2025). Incidence of eating disorders in female basketball players aged 10 to 18 years in Grenada: An exploratory pilot study. Preprints.

Burgueño, R., Cueto-Martín, B., Morales-Ortiz, E., & Medina-Casaubón, J. (2020). Influence of sport education on high school students’ motivational response: A gender perspective. Retos.

Burgueño, R., Cueto-Martín, B., Morales-Ortíz, E., & Medina-Casaubón, J. (2020). Influence of sport education on high school students’ motivational response: A gender perspective. Retos. Scopus EID: 2-s2.0-85078771078

Burgueño, R., Morales-Ortíz, E., Macarro-Moreno, J., Medina-Casaubón, J., & Cueto-Martín, B. (2020). Effects of the “MAMI Deporte®” family sports program on parents’ motivation towards sport participation: A randomized controlled intervention. Sustainability, 12(18).

Tun Naw Sut | Chemical Engineering | Best Researcher Award

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Dr. Tun Naw Sut | Chemical Engineering | Best Researcher Award

Sungkyunkwan University | South Korea

Dr. Tun Naw Sut is a nanomedicine and chemical engineering researcher whose work integrates biomimetic membrane science, lipid nanoarchitectonics, and advanced biointerface engineering to address challenges in diagnostics, biosensing, and therapeutic design. His research focuses on constructing lipid-based biomimetic membrane platforms, investigating lipid self-assembly mechanisms, and elucidating how lipid–protein and lipid–nanomaterial interactions influence membrane structure, stability, and function. He has made notable contributions to understanding antimicrobial lipid mixtures, multivalency-driven membrane deformation, cholesterol-dependent membrane behavior, and the mechanobiology of extracellular vesicle mimetics. His extensive publication record spans high-impact journals in nanotechnology, materials science, and biointerfaces, demonstrating expertise in supported lipid bilayers, bicelle-mediated membrane fabrication, plasmonic biosensing platforms, antiviral lipid systems, and membrane-disruptive nanostructures. Professionally, he has engaged in interdisciplinary research environments advancing membrane technologies for biosensing, virus detection, antimicrobial strategies, and therapeutic delivery. He has also contributed to scientific leadership as a guest editor and topic editor in reputable journals, supporting the dissemination of emerging work in biomimicry, functional materials, and membrane science. His research portfolio reflects robust experience in experimental design, membrane characterization, microfluidic lipid nanoparticle development, and the translation of lipid-based systems toward diagnostic and therapeutic applications.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Sut, T. N., Yoon, B. K., & Jackman, J. A. (2025). Synergistic membrane disruption of E. coli tethered lipid bilayers by antimicrobial lipid mixtures. Biomimetics, 10(11), Article 739.

Sut, T. N., & Yoon, B. K. (2024). Editorial for the Special Issue: “Biomimicry and Functional Materials—First, Second, and Third Editions”. Biomimetics, 9(7), 437.

Moon, S., Sut, T. N., Yoon, B. K., & Jackman, J. A. (2024). Unraveling how antimicrobial lipid mixtures disrupt virus-mimicking lipid vesicles: A QCM-D study. Biomimetics, 9(2), 67.

Sut, T. N., Jackman, J. A., & Cho, N.-J. (2023). Cholesterol-enriched hybrid lipid bilayer formation on inverse phosphocholine lipid-functionalized titanium oxide surfaces. Biomimetics, 8(8), 588.

Park, H., Sut, T. N., Yoon, B. K., Zhdanov, V. P., Kim, J. W., Cho, N.-J., & Jackman, J. A. (2022). Multivalency-induced shape deformation of nanoscale lipid vesicles: Size-dependent membrane bending effects. Journal of Physical Chemistry Letters, 13.

Taehyou Oh | Analog | Best Researcher Award

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Prof. Dr. Taehyou Oh | Analog | Best Researcher Award

Professor | Kwangwoon University | South Korea

Prof. Dr. Taehyou Oh is an accomplished scholar in high-speed integrated circuit design with distinguished expertise in advanced I/O architectures, equalization techniques, and multi-channel communication systems. His research centers on high-performance high-speed I/O circuits, including MIMO-based equalization, crosstalk cancellation, far-end crosstalk suppression, adaptive calibration algorithms, and low-power high-data-rate transceiver architectures for next-generation memory and chip-to-chip interfaces. He has made influential contributions to the development of multichannel I/O systems, including innovative analog-IIR receiver designs, FIR transmit drivers, quadrature DFE verification frameworks, and architectures employing signal reutilization for enhanced bandwidth efficiency. His work integrates deep theoretical modeling, algorithm development, mixed-signal circuit implementation, and prototype validation in advanced CMOS technologies. Prof. Oh has authored widely cited journal articles in leading venues such as the IEEE Journal of Solid-State Circuits and has delivered multiple award-winning conference papers presenting breakthroughs in MIMO equalization and high-speed I/O performance optimization. He is also the author of a specialized monograph on multi-channel high-speed I/O circuits published by an international scientific press. His professional experience spans academic research laboratories and global semiconductor companies, where he contributed to channel modeling, timing analysis, and high-speed link verification for advanced computing systems. His technical skill set includes analog and mixed-signal IC design, behavioral modeling, high-frequency simulation, algorithmic prototyping, and expertise with industry-standard tools such as Cadence, ADS, and MATLAB. Prof. Oh’s work continues to shape the evolution of high-speed interface technologies and next-generation communication solutions.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Oh, T., & Harjani, R. (2013). A 12-Gb/s multichannel I/O using MIMO crosstalk cancellation and signal reutilization in 65-nm CMOS. IEEE Journal of Solid-State Circuits, 48(6), 1383–1397.

Oh, T., & Harjani, R. (2011). A 6-Gb/s MIMO crosstalk cancellation scheme for high-speed I/Os. IEEE Journal of Solid-State Circuits, 46(8), 1843–1856.

Oh, T., & Harjani, R. (2010). A 5 Gb/s 2×2 MIMO crosstalk cancellation scheme for high-speed I/Os. In Proceedings of the IEEE Custom Integrated Circuits Conference (pp. 1–4).

Oh, T., Ward, D., & Dutton, R. (1980). IEEE JSSC (SC-15, 636–643). IEEE Journal of Solid-State Circuits.

Oh, T., & Harjani, R. (2015). Adaptive techniques for joint optimization of XTC and DFE loop gain in high-speed I/O. ETRI Journal, 37(5), 906–916.

Tomasz Lechowicz | Economics | Innovative Research Award

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Mr. Tomasz Lechowicz | Economics | Innovative Research Award

Wyzsza Szkola Biznesu National Louis University | Poland

Mr. Tomasz Lechowicz is an economist whose research focuses on the financial mechanisms shaping real estate markets, with particular emphasis on comparative analyses between Poland, the United Kingdom and Central and Eastern Europe. His work explores how monetary policy, banking supervision, interest rates and financial crises influence housing markets, mortgage accessibility and property financing structures. He has authored books examining the role of financial institutions in real estate market dynamics and published numerous peer-reviewed articles on residential and commercial property financing, housing loans, securitization, the macroeconomic determinants of property cycles and the impact of financial sector decisions on market stability. His research often integrates empirical data with institutional analysis, offering insights into how central banking strategies and regulatory frameworks affect market behaviour, household financing capacity and enterprise investment conditions. Beyond academic contributions, he has accumulated extensive managerial experience across international production, logistics and service sectors, allowing him to combine theoretical economic perspectives with practical organizational knowledge. His professional background includes operational leadership, shift management, team coordination and process optimization in diverse industries. In academia, he teaches subjects related to management, finance, economics, corporate finance, banking, logistics and human resource management, bridging research expertise with applied teaching. His interdisciplinary approach, combining real-world managerial insight with scholarly analysis of financial systems and property markets, positions him as a specialist in understanding how economic policies translate into market outcomes and how organizational efficiency affects competitiveness. He continues to contribute to academic discourse through research, teaching and engagement with institutional and market analyses.

Profiles: Scopus | Orcid

Featured Publications

Kozlovskyi, S., Dluhopolskyi, O., Kozlovskyi, V., Sabat, A., Lechowicz, T., Zayukov, I., & Oliinyk, L. (2025). Assessment of the association between industrial production indicators and business expectations: Implications for sustainable economic development. Sustainability, 17(22), 10087.

Borysiak, O., Brych, V., Manzhula, V., Lechowicz, T., Dluhopolska, T., & Putsenteilo, P. (2025). Synergy of energy-efficient and low-carbon management of the logistics chains within developing distributed generation of electric power: The EU evidence for Ukraine. Energies, 18(20), 5512.

Liashenko, O., Pavlova, O., Pavlov, K., Lechowicz, T., Szarota, R., Nagara, M., & Hrytsiyk, N. (2025). Unveiling tipping points in European sustainability: A nonlinear MARS approach to people, planet, and prosperity. Sustainability, 17(19), 8692.

Lechowicz, T. (2024). Charakterystyka rynku kredytów mieszkaniowych w Polsce i Wielkiej Brytanii latach 2003–2017. Problems of Economics and Law, 2024(7), Article 520.

Lechowicz, T. (2023). Koniunktura na rynku nieruchomości mieszkaniowych i rynku kredytów mieszkaniowych w Polsce i Wielkiej Brytanii. Problems of Economics and Law, 2023(12), Article 519.

Tadele Buraka | Agricultural science | Editorial Board Member

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Assist. Prof. Dr. Tadele Buraka | Agricultural science | Editorial Board Member

Researcher | Addis Ababa University | Ethiopia

Assist. Prof. Dr. Tadele Buraka is an emerging scholar in environmental science with a focus on soil degradation, watershed dynamics, and land-use change impacts in Ethiopia’s vulnerable landscapes. His research advances the understanding of how shifting land-cover patterns influence soil erosion risks, hydrological processes, and ecological sustainability, particularly within highland watershed systems. Through the integration of GIS, remote sensing, geospatial modelling, and field-based assessments, he develops practical, data-driven insights that support sustainable land management and erosion mitigation strategies. His notable contribution includes examining soil erosion susceptibility in complex terrains, offering evidence-based recommendations for conserving natural resources and guiding policy interventions. His scientific work appears in recognized international journals and has received growing academic attention, reflected in citations from interdisciplinary research communities. In addition to his publication record, he collaborates with researchers across environmental geology, landscape ecology, and natural resource management, strengthening the multidisciplinary relevance of his work. He is committed to generating impactful knowledge that informs decision-making for climate-resilient agriculture, sustainable watershed planning, and environmental protection. His professional experience includes academic roles in teaching and research, where he mentors students, contributes to departmental research initiatives, and engages in community-focused environmental problem solving. Through his applied research, he aims to address pressing environmental challenges by linking scientific evidence with practical land management solutions, positioning his work as a valuable resource for scholars, practitioners, and policy developers working toward the sustainable use of Ethiopia’s natural resources.

Profile: Scopus

Featured Publication

Buraka, T,. (2024). Assessment of soil erosion risks in response to land-use and land-cover changes in Coka watershed, Southern Ethiopia. Geology, Ecology and Landscapes.

Chen Ru | Climate Change | Editorial Board Member

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Dr. Chen Ru | Climate Change | Editorial Board Member

Tsinghua University | China

Dr. Chen Ru is a scholar specializing in ecological economics, environmental management, and climate-related sustainability transitions, with research spanning carbon footprint analysis, agricultural sustainability, and policy-driven environmental performance. His work offers influential insights into how production systems particularly agricultural and food sectors interact with carbon emissions, climate risk, and broader environmental impacts. He has contributed substantially to advancing carbon footprint methodologies, especially through investigations of variable system boundaries, total factor productivity perspectives, and greenhouse gas accounting frameworks across diverse socio-ecological contexts. His studies explore whether agricultural production functions as a carbon sink or source, evaluate climate-neutral pathways for regional agricultural systems, and assess the carbon effects of modern agricultural cooperatives. Beyond agricultural systems, he has examined links between stringent environmental regulations, air pollution, and corporate innovation, revealing how policy design shapes organizational response and environmental outcomes. His research also addresses the role of compensation policies, cooperation mechanisms, and government intervention in enhancing farmers’ livelihood resilience, mitigating risk shocks, and improving cooperative performance under carbon-constrained conditions. Through interdisciplinary approaches blending ecological indicators, cleaner production principles, and environmental policy analysis, Dr. Chen provides actionable knowledge that bridges scientific assessment and real-world decision-making. His scholarly contributions support more sustainable production models, improved environmental governance, and enhanced climate resilience, positioning him as an important voice in the evolution of ecological sustainability and low-carbon development strategies.

Profile: Google Scholar

Featured Publications

Chen, R. (2024). Carbon footprint assessment of agricultural production systems under the variable system boundary scenarios. In Carbon Footprint Assessments: Case Studies & Best Practices (pp. 201–236).

Chen, R., & Kong, Y. (2022). Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system. Ecological Indicators, 144, 109540.

Chen, R., & Kong, Y. (2023). A comprehensive review of greenhouse gas based on subject categories. Science of The Total Environment, 866, 161314.

Chen, R., Zhang, R., & Han, H. (2021). Where has carbon footprint research gone? Ecological Indicators, 120, 106882.

Chen, R., Zhang, R., Han, H., & Jiang, Z. (2020). Is farmers’ agricultural production a carbon sink or source?–Variable system boundary and household survey data. Journal of Cleaner Production, 266, 122108.

Shamsa Jabeen | Microbiology | Editorial Board Member

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Mrs. Shamsa Jabeen | Microbiology | Editorial Board Member

Researcher | University of the Punjab | Pakistan

Mrs. Shamsa Jabeen is a zoology researcher whose work centers on probiotic biology, toxicology, and organismal health, with a particular focus on beneficial microbes, natural bioactive compounds, and their restorative effects on animal physiology. Her research contributions span histopathology, microbial applications, and experimental models that explore how locally isolated Lactobacillus species improve growth performance, muscle regeneration, bone development, intestinal health, and enzymatic responses in mammals and aquatic organisms. She has also contributed substantially to understanding the protective potential of Syzygium cumini fruit extracts against fluoride-induced toxicity, demonstrating their ameliorative effects on testis tissue, hepato-nephronal systems, neuromotor activity, erythrocyte integrity, and bone structure in mice. Her studies extend to the growth and health of honeybees and fish through the use of probiotics and organic acids, reflecting an applied interest in enhancing productivity and resilience across species. She has explored the biochemical optimization, acid-bile tolerance, and colony-forming dynamics of Lactobacillus strains, advancing knowledge relevant to functional foods and microbial therapeutics. Her work in food microbiology also includes identifying endospore-forming bacteria in milk and assessing their implications for quality and safety. With publications across zoology, nutrition, food bioscience, and biotechnology, she brings multidisciplinary insight into how microbial and plant-derived interventions can support physiological recovery, performance, and overall organismal well-being. Her research trajectory highlights an integrative approach linking microbiology, animal science, and natural product therapeutics to promote health, sustainability, and improved biological outcomes across systems.

Profiles: Scopus | Google Scholar

Featured Publications

Ahmad, K. R., Nauroze, T. N., Raees, K. R., Abbas, T. A., & others. (2012). Protective role of jambul (Syzygium cumini) fruit-pulp extract against fluoride-induced toxicity in mice testis: A histopathological study. Journal name unavailable.

Hasan, A., Qazi, J. I., Muzaffer, N., Jabeen, S., & Hussain, A. (2022). Effect of organic acids and probiotics on growth of Apis mellifera workers. Pakistan Journal of Zoology, 54(6), 2577–2583.

Ahmad, K. R., Noor, S., Jabeen, S., Nauroze, T., Kanwal, M. A., Raees, K., & Abbas, T. (2017). Amelioration by jambul fruit extract of fluoride-induced hepato-nephronal histopathologies and impaired neuromotor capacity in mice. Fluoride, 50(1), 2–?. (Page range incomplete.)

Sharif, A., Ahmed, E., Munawar, M. A., Jabeen, S., Khan, M. A., Begum, R., & others. (2011). Facile syntheses of bioactive 5-arylidenethiobarbituric acids. Journal of the Chemical Society of Pakistan, 33, xx–xx. (Page range unavailable.)

Jabeen, S., & Qazi, J. I. (2023). Oral administration of a locally isolated Lactobacillus rhamnosus (NR_113332.1) improves regeneration of extensor digitorum longus muscle in mice. Nutrition, 114, 112110.

Dattatreya Kadam | Agricultural Engineering | Editorial Board Member

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Dr. Dattatreya Kadam | Agricultural Engineering | Editorial Board Member

Indian Council of Agricultural Research-Central Institute for Research on Cotton Technology | India

Dr. Dattatreya Kadam is a distinguished Principal Scientist recognized for his extensive contributions to food process engineering, machine design, nanotechnology applications in food systems, and innovative drying technologies. His research has significantly advanced foam-mat drying, convective drying, solar-assisted drying, and thin-layer drying modeling across a wide range of fruits, vegetables, and medicinal plants. He has made notable strides in improving product quality, nutrient retention, and functional properties in dried foods, particularly in tomato, mango, pineapple, guava, basil, mint, and mandarin. Dr. Kadam’s work also extends to the development of innovative food packaging solutions, including nanotechnology-enabled active and intelligent packaging materials, reinforcing whey protein films with advanced nanostructures, and studying antimicrobial characteristics of engineered nanoparticles. His research integrates experimental design, mathematical modeling, physical property evaluation, and quality assessment to optimize food processing operations. He has also contributed to improvements in agricultural and food machinery, thermal systems, and postharvest processing of crops such as maize, cauliflower, and cottonseed. Dr. Kadam’s publications highlight his multidisciplinary expertise, addressing product stability, shelf-life enhancement, sensory quality, and physicochemical transformations during processing. His collaborative work has strengthened the scientific understanding of how process variables influence structural, biochemical, and functional attributes of food materials, helping industry and researchers adopt more efficient, sustainable, and quality-oriented technologies. Through his leadership roles and scientific output, he continues to influence advancements in food engineering, value addition, and nanotechnology-driven innovations, contributing to the modernization of agro-processing and supporting the development of high-quality food products with improved safety, functionality, and consumer acceptability.

Profile: Google Scholar

Featured Publications

Kadam, D. M., & Balasubramanian, S. (2011). Foam mat drying of tomato juice. Journal of Food Processing and Preservation, 35(4), 488–495.

Kadam, D. M., Pratibha, K., & Ramesh, K. (2012). Evaluation of guava products quality. International Journal of Food Science and Nutrition Engineering, 2(1), 7–11.

Kadam, D. M., Wilson, R. A., & Kaur, S. (2010). Determination of biochemical properties of foam-mat dried mango powder. International Journal of Food Science and Technology, 45(8), 1626–1632.

Mlalila, N., Kadam, D. M., Swai, H., & Hilonga, A. (2016). Transformation of food packaging from passive to innovative via nanotechnology: Concepts and critiques. Journal of Food Science and Technology, 53, 3395–3407.

Kadam, D. M., Goyal, R. K., Singh, K. K., & Gupta, M. K. (2011). Thin layer convective drying of mint leaves. Journal of Medicinal Plants Research, 5(2), 164–170.

Rajani Kumari Vaddepalli | Data Engineering | Editorial Board Member

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Mrs. Rajani Kumari Vaddepalli | Data Engineering | Editorial Board Member

Senior Data Engineer | Callaway Golf | United States

Mrs. Rajani Kumari Vaddepalli is a senior data engineer whose research and professional work span data engineering, artificial intelligence, machine learning, and cloud-native systems, with a strong emphasis on scalable, reliable, and ethically aligned data ecosystems. Her scholarly contributions explore advanced topics such as real-time stream processing, schema drift adaptation, hybrid consensus blockchain models, AI security, cross-platform interoperability, culturally adaptive AI visualizations, and responsible data governance. She has also advanced methods in anomaly detection, automated feature engineering, explainable AI, and federated learning for secure multi-institutional collaboration. Her publications demonstrate a consistent focus on integrating technical innovation with practical industry challenges, offering frameworks that bridge regulatory expectations, operational efficiency, and organizational trust in AI-driven decision systems. Complementing her academic footprint, her professional background reflects deep expertise in designing enterprise-grade data pipelines, optimizing cloud data warehousing, and ensuring resilient distributed architectures across diverse sectors including healthcare, retail, finance, logistics, and public governance. She brings a strategic understanding of how AI, metadata automation, and dynamic fault-tolerance mechanisms can enhance the transparency and reliability of modern data platforms. Through both research and practice, she contributes to building data and AI systems that are scalable, culturally aware, fair, and aligned with global standards for security and accountability, making her a significant voice in the evolving landscape of intelligent data engineering.

Profile: Google Scholar

Featured Publications

Vaddepalli, R. K. (2022). Streaming vs. batch at scale: How Snowflake’s real-time processing stacks up against on-premises data warehouses. ISCSITR – International Journal of Cloud Computing (ISCSITR-IJCC), 3(1), 9–26.

Vaddepalli, R. K. (2024). Toward a greener blockchain for document verification: Balancing energy efficiency and security with hybrid consensus models. European Journal of Advances in Engineering and Technology, 11(4), 186–191.

Vaddepalli, R. K. (2024). Moving beyond generic solutions: Crafting industry-tailored ethical frameworks for unbiased generative AI in B2B sales. Journal of Scientific and Engineering Research, 11(6), 173–179.

Vaddepalli, R. K. (2021). Adaptive AI-driven data integration: Navigating regulatory challenges in healthcare, finance, retail, and logistics. International Journal of Artificial Intelligence and Machine Learning (QIT Press).

Vaddepalli, R. K. (2023). AutoSchema: A self-learning framework for detecting and adapting to schema drift in real-time data streams. European Journal of Advances in Engineering and Technology, 10(7), 94–100

Murat Emec | Ecology Informatics | Editorial Board Member

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Dr. Murat Emec | Ecology Informatics | Editorial Board Member

Istanbul University | Turkey

Dr. Murat Emec is an accomplished researcher whose work sits at the intersection of artificial intelligence, data science, health informatics, sustainability, and the Internet of Things, with a strong emphasis on applying machine learning to real-world societal challenges. His research portfolio spans advanced deep learning models for intrusion detection in IoT networks, ensemble machine learning approaches for air quality prediction, potable water quality forecasting for sustainable resource management, and the development of specialized IoT datasets aimed at improving cybersecurity analysis. He has contributed to innovative methods in hyperparameter optimization, feature engineering, and data preprocessing, supporting the development of robust predictive systems across multiple domains. Dr. EMEÇ’s work extends into medical and biochemical applications, including machine learning-based LDL prediction, radiomics-driven diagnostic modelling in oncology and neurology, and prognostic modelling using MRI data. His research also covers complex environmental and agricultural modelling, such as global wheat water footprint estimation using ensemble learning. Beyond technical fields, he has explored the societal impact of generative AI, healthcare insurance cost prediction models, and behavioural and gait analysis using sensor-based systems. He has co-developed machine learning solutions for transportation analytics, including large-scale airline ticket price prediction, and contributed to studies on pandemic data modelling. His scholarship reflects a consistent focus on designing data-driven, adaptive, and intelligent systems that enhance sustainability, healthcare decision-making, cybersecurity resilience, and smart environments. Overall, his research demonstrates a multidisciplinary orientation, integrating computational innovation with practical applications in health, environment, and digital transformation.

Profile: Google Scholar

Featured Publications

Emeç, M., & Özcanhan, M. H. (2022). A hybrid deep learning approach for intrusion detection in IoT networks. Advances in Electrical and Computer Engineering, 22(1), 3–12.

Emeç, M., & Yurtsever, M. (2024). A novel ensemble machine learning method for accurate air quality prediction. International Journal of Environmental Science and Technology.

Yurtsever, M., & Emeç, M. (2023). Potable water quality prediction using artificial intelligence and machine learning algorithms for better sustainability. Ege Academic Review, 23(2), 265–278.

Emeç, M., & Özcanhan, M. H. (2023). ROUT-4-2023: RPL based routing attack dataset for IoT.

Emeç, M., & Tecim, V. (2016). RFID teknolojisi kullanarak kampüs harcama sistemlerinin tasarlanması ve uygulanması: Üniversite örneği. Yönetim Bilişim Sistemleri Dergisi, 2(1), 77–90.