SSSR Sarathbabu Duvvuri | Engineering | Research Excellence Award

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Dr. SSSR Sarathbabu Duvvuri | Engineering | Research Excellence Award

Shri Vishnu Engineering College for Women Bhimavaram | India

Dr. SSSR Sarathbabu Duvvuri is an accomplished researcher in electrical and power engineering with a strong record of contributions spanning power electronics, electrical machines, renewable energy systems, and intelligent control. The research output includes 56 scholarly documents, which have collectively received 302 citations from 216 citing documents, reflecting sustained academic impact, with an h-index of 9. The body of work demonstrates depth in state estimation, fault detection and diagnosis, optimization techniques, and applications of artificial intelligence and machine learning in electrical engineering systems. Significant contributions are evident in high-quality journals and book chapters published by Elsevier, IEEE, Springer, and other reputed outlets, covering areas such as load frequency control with communication delays, secure energy routing in microgrids, photovoltaic system performance, induction and synchronous machine diagnostics, and renewable energy integration. The research portfolio also includes an extensive set of Scopus- and Web of Science–indexed conference papers, highlighting sustained engagement with the global research community. In addition, multiple recently published patents in machine learning–based energy systems, malware detection, and healthcare monitoring demonstrate translational impact beyond academia. Overall, the research profile reflects a balanced blend of theoretical modeling, experimental validation, and intelligent system design with relevance to modern power and energy systems.

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Top 5 Publications

Crack-JPU-A Crack Segmentation Method using Atrous Convolution
– Measurement: Sensors, Vol. 32, 101080, 2024 (Elsevier, Scopus)

Design, Control and Performance of PI and ANFIS Controllers for BLDC Motor Driven Electric Vehicles
– Measurement: Sensors, Vol. 31, 101001, 2024 (Elsevier, Scopus)

Yang Li | Engineering | Research Excellence Award

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Dr. Yang Li | Engineering | Research Excellence Award

Qilu Medical University | China

Dr. Yang Li is an active researcher in advanced manufacturing and biomedical engineering, with a strong focus on high-temperature additive manufacturing, micromachining, and the mechanical behavior of advanced materials. The research portfolio comprises 28 scholarly documents, which have collectively received 338 citations, reflecting steady academic influence, and an h-index of 11, indicating consistent research quality and impact. Key contributions include pioneering studies on surface-modified CF/PEEK and PEEK composite structures fabricated via high-temperature air-assisted 3D printing for potential implant applications, published in leading journals such as Materials & Design and the Journal of the Mechanical Behavior of Biomedical Materials. Additional influential work addresses micromilling of Ti-6Al-4V alloys, focusing on high-aspect-ratio thin walls, dimensional accuracy, and online compensation systems, contributing to precision manufacturing science. Overall, the research output demonstrates a strong integration of materials science, mechanical performance analysis, and advanced manufacturing technologies, with growing relevance in biomedical and high-precision engineering applications.

 

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Featured Publications

Yizhao Li | Engineering | Research Excellence Award

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Ms. Yizhao Li | Engineering | Research Excellence Award

Shanghai University | China

Yizhao Li is a researcher specializing in biomechanics, biomedical instrumentation, and implant-related mechanics, with a research portfolio spanning orthopaedic implants, biofidelic physical models, and advanced sensing technologies. The research work focuses on in vitro wear testing of ankle prostheses, energy harvesting sensor packages for knee implants, knee joint contact mechanics related to meniscus root tears, and cadaver-based experimental validation of implant performance and durability. Earlier research contributions include the development of biofidelic instrumented headforms for head injury biomechanics, miniature optical fiber sensors for rapid intracranial pressure measurement, and image-based analysis of fuel–air explosive cloud growth. The research demonstrates strong integration of experimental mechanics, structural design, simulation, sensing, and measurement, with applications in injury biomechanics, orthopaedic engineering, and safety device evaluation. The scholarly output comprises peer-reviewed journal articles published in leading journals such as Journal of Biomechanics, Annals of Biomedical Engineering, Journal of Mechanical Behavior of Biomedical Materials, Journal of Biomechanical Engineering, and IEEE Transactions on Instrumentation and Measurement, along with multiple international conference publications. According to Google Scholar metrics, the research has received 84 citations, with an h-index of 5 and an i10-index of 3, reflecting growing impact and consistent contributions to biomechanics, biomedical engineering, and measurement science.

 

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Featured Publications

Offline and online measurement of the geometries of train wheelsets: A review.
– IEEE Transactions on Instrumentation and Measurement, 2022

 

Petro Pavlenko | Engineering | Research Excellence Award

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Prof. Dr. Petro Pavlenko | Engineering | Research Excellence Award

Zhejiang Ocean University | China

Prof. Dr. Petro Pavlenko is a distinguished researcher whose contributions span engineering design, CAD/CAM/CAE/PDM systems, digital manufacturing, and integrated information environments for industrial applications. With an h-index of 4, 27 documents, and 53 citations, his scholarship reflects both depth and sustained relevance across engineering and information technology domains. His research encompasses automation of design processes, digital 3D modeling, production data management, logical-dynamic models for information security, digital twins, robotics, energy lifecycle management, and industrial information system integration. He has produced more than 250 scientific publications, including 43 international journal papers, alongside 9 patents and multiple influential textbooks and monographs on mathematical modeling, information systems, and production automation. His leadership roles include chairing specialized academic councils, contributing to expert committees in informatics and cybernetics, directing research laboratories, and guiding PhD program development. Collaborations with universities and research centers across Ukraine, Kazakhstan, Germany, France, Latvia, and Russia have supported advancements in automated manufacturing, robot trajectory planning, and industrial data technologies. His recent works focus on additive manufacturing, microstructure–hardness modeling, digital energy systems, and intelligent information support, reinforcing his impact on modern engineering innovation and computational design methodologies.

 

 

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Featured Publications

Haiwei Wu | Engineering | Best Researcher Award

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Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Fucan Huang | Engineering | Excellence in Research Award

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Dr. Fucan Huang | Engineering | Engineering | Excellence in Research Award

Shandong University of Science and Technology | China

Dr. Fucan Huang is an emerging researcher in mechanical fault diagnosis, known for advancing intelligent diagnostic methods through deep learning, multi-attention mechanisms, and cross-domain adaptability. His work focuses on improving fault detection accuracy in complex industrial environments, particularly under fluctuating conditions, imbalanced datasets, and multi-source domain challenges. He has contributed significantly to Measurement Science and Technology and Machines, co-authoring several influential papers. His research includes the development of an adaptive attenuation self-attention adversarial network for cross-domain diagnosis, a multi-source domain collaborative bearing fault method guided by multi-attention mechanisms, and innovative dual-domain vision transformer frameworks. These contributions enhance the robustness, generalizability, and interpretability of diagnostic models, strengthening intelligent maintenance systems and promoting safer, more efficient industrial operations.

Profile : Orcid

Featured Publications

An, Y., Zhang, D., Zhang, M., Xin, M., Wang, Z., Ding, D., Huang, F., & Wang, J. (2025). Residual attention-driven dual-domain vision transformer for mechanical fault diagnosis. Machines, 13(12), Article 1096.

Huang, F., Zhang, Q., Han, B., Wang, J., Zhang, Z., Ge, R., & Gong, H. (2025). Adaptive attenuation self-attention adversarial network for cross-domain fault diagnosis under imbalanced conditions. Measurement Science and Technology, 31 December 2025.

Ge, R., Zhang, Z., Wang, J., Wang, W., Fan, Z., & Huang, F. (2025). Multi-source domain bearing fault collaborative diagnosis method for unbalanced samples guided by multi-attention mechanism. Measurement Science and Technology, 30 November 2025.

Han, B., Huang, F., Qin, M., Qin, H., Wang, J., Zhang, Z., & Yu, Y. (2025). Dual-domain fused vision transformer for mechanical fault diagnosis under fluctuating working conditions. Measurement Science and Technology, 30 April 2025.

Zilin Zhong | Engineering | Excellence in Research Award

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Dr. Zilin Zhong | Engineering | Excellence in Research Award

Guangzhou Railway Polytechnic | China

Dr. Zilin Zhong is a dedicated researcher whose scholarly contributions span advanced structural dynamics, intelligent materials, and applied artificial intelligence. With 6 h-index, 132 citations, and 13 documents, the research portfolio demonstrates a growing international impact in civil and mechanical engineering domains. His work focuses on the dynamic stability of arch structures, parametric and resonance instability, piezoelectric intelligent structural control, and AI-based recognition techniques, complemented by studies in vocational education. Dr. Zhong has published influential papers in high-ranking journals such as Thin-Walled Structures, Engineering Structures, International Journal of Mechanical Sciences, Journal of Sound and Vibration, and Composite Structures. His investigations include sub-harmonic and simultaneous resonance of thin-walled arches, nonlinear instability of plates and arches under multi-frequency excitation, and stochastic stability of viscoelastic systems. He has also contributed to understanding vibration impacts from metro-induced excitation and dynamic internal forces of arches. Beyond publications, he has developed practical innovations through patents and software, including resonance-based loading devices, piezoelectric transducers for railway vibration energy harvesting, and a track parameter evaluation system. Collectively, his research advances theoretical modeling, experimental validation, and engineering applications in dynamic instability and intelligent structural systems.

Profiles : Scopus | Orcid

Featured Publications

Shen, F., Zhong, Z., Xu, X., Li, J., Dong, Q., & Deng, J. (2025). In-plane simultaneous resonance instability behaviors of a fixed arch under a two-frequency radial uniformly distributed excitation. International Journal of Non-Linear Mechanics, 25(7), Article 105056.

Deng, J., Liu, A., Zhong, Z., & Guangzhou University. (2025). Numerical analysis of dynamic stability of flutter panels in supersonic flow. International Journal of Structural Stability and Dynamics, 25(18).

Zhong, Z., Liu, A., Guo, Y., Xu, X., Deng, J., & Yang, J. (2023). Sub-harmonic and simultaneous resonance instability of a thin-walled arch under a vertical base excitation at two frequencies. Thin-Walled Structures, 191, Article 111094.

Zhong, Z., Liu, A., Fu, J., Pi, Y.-L., Deng, J., & Xie, Z. (2021). Analytical and experimental studies on out-of-plane dynamic parametric instability of a circular arch under a vertical harmonic base excitation. Journal of Sound and Vibration, 500, Article 116011.

Zhong, Z., Liu, A., Pi, Y.-L., Deng, J., Fu, J., & Gao, W. (2021). In-plane dynamic instability of a shallow circular arch under a vertical-periodic uniformly distributed load along the arch axis. International Journal of Mechanical Sciences, 189, Article 105973.

Zhong, Z., Liu, A., Pi, Y.-L., Deng, J., Lu, H., & Li, S. (2019). Analytical and experimental studies on dynamic instability of simply supported rectangular plates with arbitrary concentrated masses. Engineering Structures, 196, Article 109288.

Prasoon Prasenan P | Engineering | Excellence in Innovation Award

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Assist. Prof. Dr. Prasoon Prasenan P | Engineering | Excellence in Innovation Award

College of Engineering Kidangoor | India

Assist. Prof. Dr. Prasoon Prasenan P is an emerging researcher with a growing academic footprint, reflected through 6 citations, an h-index of 1, and multiple scholarly documents spanning engineering, construction materials, and advanced concrete technologies. His contributions encompass a co-authored book on construction materials and an extensive portfolio of innovative patents, including UK-granted designs such as variable dosage digital medical atomizers, autonomous composite mortar gun systems, smart digital flow control valves, and multiple India-granted devices in physiotherapy, smart construction, and signal-quality analytics. He has also filed and published numerous patents in areas such as high-strength concrete, recycled aggregate applications, robotic construction technologies, prefab housing, and low-cost artificial sand development. His research outputs include several papers in Scopus-indexed and UGC Care-listed journals, covering self-curing high-performance concrete, sustainable concrete using recycled plastics, basalt fibre reinforcement, silico-manganese slag incorporation, red mud adsorption, hybrid-fibre-enhanced composites, and fly-ash–based artificial sand. He has also contributed to a major government project on river pollution abatement and rejuvenation, earning formal recognition. With presentations in national and international conferences on smart construction materials, fibre-reinforced composites, and sustainable engineering, his work demonstrates a strong commitment to advancing construction technology, sustainability, and innovative engineering solutions.

Profile : Google Scholar

Featured Publications

Experimental investigation on behaviour of self-curing HPC with bamboo fibre reinforcement and strengthening using HFRP. International Research Journal of Engineering and Technology (IRJET), (pp. 1400–1404). p-ISSN: 2395-0072, e-ISSN: 2395-0056.

Experimental investigation on effect of partial replacement of coarse aggregate by plastic aggregate on M40 grade self-compacting concrete. International Journal of Civil Engineering & Technology (IJCIET), 9(6), 955–963. ISSN 0976-6308 (Print), 0976-6316 (Online).

Durability properties of self-compacting concrete incorporating recycled high density polyethylene plastics. International Journal of Advanced Research in Engineering & Technology (IJARET), 11(11), 382–391. ISSN 0976-6480 (Print), 0976-6499 (Online).

Basalt fibre reinforced polymer for strengthening of self-compacting concrete compression member. Civil Engineering and Architecture, 10(3), 830–835.

Analysis of M60 grade concrete using silico-manganese slag as the partial replacement of coarse and fine aggregates. UGC Care Group I Journal, 12(08:04). ISSN 2347-7180.

Using red mud as an adsorbent to remove crystal violet dye. UGC Care Group I Journal, 12(08:04). ISSN 2347-7180.

Partial replacement of cement with sugar cane bagasse ash and hybrid fibers. UGC Care Group I Journal, 12(08:04). ISSN 2347-7180.

Development of process for creation of low-cost artificial sand from fly ash. UGC Care Group I Journal, 12(08:06). ISSN 2347-7180.

Partial replacement of cement, fine aggregates and coarse aggregates with fly ash, steel slag and recycled aggregates respectively in concrete. Emperor Journal of Applied Scientific Research, 4(09). ISSN 2581-964X.

Experimental study on fiber (hooked steel) reinforced concrete using M-20 grade. Dogo Rangsang Research Journal, 12(12:05). ISSN 2347-7180.

New retrofitting method for soft storey effect. International Journal of Creative Research Thoughts (IJCRT), 11(2). UGC Approved Journal No. 49023.

Kadriye Elif Maçin | Engineering | Best Researcher Award

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Dr. Kadriye Elif Maçin | Engineering | Best Researcher Award

Istanbul Technical University | Turkey

Dr. Kadriye Elif Maçin is an active environmental engineering researcher whose scholarly contributions focus on solid waste management, life cycle assessment, material flow analysis, zero-waste strategies, and the development of sustainable and circular systems for institutions and urban environments. She has produced impactful research spanning international journals, national publications, book chapters, and numerous conference proceedings. Her work advances techno-economic evaluation of digestate management, MFA-LCA frameworks for zero-waste institutions, campus decarbonization models, circular bioeconomy applications, and comprehensive waste characterization studies. Through extensive analyses of food waste, construction and demolition waste, municipal waste logistics, hospital waste, and biogas enhancement strategies, she contributes evidence-based insights supporting efficient waste minimization and resource recovery. Her publications also address sustainability performance metrics in universities, transportation-related GHG emissions, and environmental impacts of energy and industrial processes. Additionally, her research has been disseminated through more than twenty international symposiums and conferences, where she has presented findings on decarbonization strategies, life cycle impacts of waste-to-energy systems, campus sustainability, zero-waste education, and solid waste systems under changing environmental conditions. Overall, her body of work strengthens scientific understanding of circular economy approaches and supports practical pathways toward sustainable waste management.

Profiles : Scopus | Orcid

Featured Publications

Macin, K. E., & Özbayram, E. G. (2025). Assessing the water footprint of tea: Implications on Türkiye's freshwater ecosystems. Aquatic Research.

Macin, K. E., Özcan, F. K., Acuner-Turet, E., & Kose-Mutlu, B. (2025). Carbon footprint and decarbonization of university buildings: Operational and embodied emissions at Istanbul Technical University. Building and Environment.

Macin, K. E. (2025). Türkiye’nin karbonsuzlaşma politikaları kapsamında Düzce ili katı atık yönetiminin yaşam döngüsü değerlendirmesi. Doğal Afetler ve Çevre Dergisi.

Macin, K. E. (2025). Malzeme ve madde akış analizi ile illerin katı atık yönetiminin döngüselliğinin incelenmesi: Düzce ili örneği. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi.

Musluoğlu, A., Dereli, R. K., Arıkan, O. A., Guven, H., & Macin, K. E. (2025). Techno-economic assessment of digestate management for full-scale continuous dry anaerobic digestion plant. Bioresource Technology.

Macin, K. E., Arıkan, O. A., & Damgaard, A. (2024). An MFA–LCA framework for goal-oriented waste management studies: ‘Zero Waste to Landfill’ strategies for institutions. Waste Management and Research.

Macin, K. E. (2024). Circular food waste management in Türkiye to stay within planetary boundaries. E3S Web of Conferences.

Macin, K. E., Arıkan, O. A., Altınbaş, M., & Damgaard, A. (2024). Decarbonizing university campuses: A business model for food waste management at Istanbul Technical University (İTÜ) Ayazağa Campus, Turkey. Environmental Progress & Sustainable Energy.

Macin, K. E., Özçelik, K., Güven, H., & Arıkan, O. A. (2024). Waste characterization and recycling potential in a university campus: ITU Ayazağa Campus zero waste management practices. Journal of Material Cycles and Waste Management.

Macin, K. E. (2018). Kentsel dönüşüm sürecinde İstanbul’da inşaat ve yıkıntı (İY) atıkları yönetimi. Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi.

Verónica Córdoba | Chemical Engineering | Best Researcher Award

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Prof. Dr. Verónica Córdoba | Chemical Engineering | Best Researcher Award

Universidad Nacional del Centro de la Provincia de Buenos Aires | Argentina

Prof. Dr. Verónica Córdoba is a researcher whose work focuses on bioenergy, anaerobic digestion, biomethane modelling, and environmental sustainability, with a research portfolio that has earned 381 citations, an h-index of 8, and 8 i10-index publications, reflecting a steadily growing scholarly impact. She has contributed extensively to understanding methane production dynamics from diverse biomass sources, including swine wastewater, cheese whey, macroalgae, third-generation biomass, and agricultural residues. Her publications span high-impact journals with studies on mixture design for anaerobic co-digestion, neural-network-based prediction of biomethane production, thermal behavior of biofuel feedstocks, activated carbon production from biomass waste, and long-term methane emission modelling from waste treatment processes. Her involvement in R&D Project 03/E208 (2023–2025) focuses on the valorization of lignocellulosic residues for low-emission energy scenarios, underscoring her commitment to circular bioeconomy strategies. She also contributes to academic development through the supervision of doctoral fellows working on methane modeling and biomass conversion systems. Additional works include analyses of greenhouse gas emissions in waste management, kinetics of methane generation, renewable fuel drying behavior, and theoretical–practical assessments of electricity generation from biogas. Across more than a decade of scientific output, she has advanced sustainable energy research through rigorous modelling, experimental analysis, and interdisciplinary collaboration.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Córdoba, V., & Ottolina, G. (2025). Anaerobic co-digestion of swine wastewater, cheese whey and organic waste: Performance optimization through mixture design. Biomass.

Córdoba, V., Bavio, M., & Acosta, G. (2024). Biomethane production modelling from third-generation biomass. Renewable Energy.

Córdoba, V. E., Mussi, J., De Paula, M., & Acosta, G. G. (2023). Prediction of biomethane production of cheese whey by using artificial neural networks. IEEE Latin America Transactions.

Córdoba, V., Manzur, A., & Santalla, E. (2023). Thermal behaviour and emission characteristics of Arundo donax L. as potential biofuel. BioEnergy Research.

Jerez, F., Ramos, P. B., Córdoba, V. E., Ponce, M. F., Acosta, G. G., & Bavio, M. A. (2023). Yerba mate: From waste to activated carbon for supercapacitors. Journal of Environmental Management.

Córdoba, V. E., & Santalla, E. M. (2022). Estimation of long-term methane emissions from mechanical-biological treatment waste through biomethane potential test. Environmental Technology.

Córdoba, V., Manzur, A., & Santalla, E. (2022). Drying kinetics and mathematical modelling of Arundo donax L. canes, a potential renewable fuel. Research in Agricultural Engineering.

Ibarlucía, D. G., Santalla, E. M., & Córdoba, V. E. (2021). Evaluation of biomethane potential and kinetics modelling of green macroalgae from the South Atlantic Sea: Codium sp. and Ulva sp. Environmental Chemistry.

Córdoba, V., Fernández, M., & Santalla, E. (2018). The effect of substrate/inoculum ratio on the kinetics of methane production in swine wastewater anaerobic digestion. Environmental Science and Pollution Research.

Blanco, G., Santalla, E., Córdoba, V., & Levy, A. (2017). Generación de electricidad a partir de biogás capturado de residuos sólidos urbanos: Un análisis teórico-práctico. Report.

Blanco, G., Córdoba, V., Baldi, R., Fernández, M., & Santalla, E. (2016). Outcomes of the Clean Development Mechanism in Argentina. American Journal of Climate Change.

Córdoba, V., Colavolpe, M. B., Fernández, M., Santalla, E., & Albertó, E. (2016). Potential methane production of spent sawdust used in the cultivation of Gymnopilus pampeanus. Journal of Environmental Chemical Engineering.

Córdoba, V., Fernández, M., & Santalla, E. (2016). The effect of different inoculums on anaerobic digestion of swine wastewater. Journal of Environmental Chemical Engineering.

Santalla, E., Córdoba, V., & Blanco, G. (2013). Greenhouse gas emissions from the waste sector in Argentina in business-as-usual and mitigation scenarios. Journal Article.