Mrs. Hanane ABBOU | Biomedical Engineering | Research Excellence Award

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Mrs. Hanane ABBOU | Biomedical Engineering | Research Excellence Award

Mrs. Hanane ABBOU | Mohammed VI university of Sciences and Health | Morocco

Mrs. Hanane ABBOU is a PhD Candidate and Research Assistant in Medical Biotechnology at Mohammed VI University of Sciences and Health and the Mohammed VI Center for Research and Innovation. Her research focuses on computational investigations of cannabinoid-based therapeutics targeting the endocannabinoid system, with emphasis on Cannabis and Moroccan genetic diversity. She holds an MSc in Medical Biotechnology and has professional experience in pharmacovigilance and scientific publishing. Her scholarly profile reflects 14 citations by 13 documents, 7 published documents, and an h-index of 2, with the h-index view disabled in preview mode, highlighting her growing research impact in computational pharmacology.

Citation Metrics (Scopus)

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15

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14

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🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Prof. Dr. Chengli Sun | Artificial Intelligence | Best Researcher Award

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Prof. Dr. Chengli Sun | Artificial Intelligence | Best Researcher Award

Prof. Dr. Chengli Sun | Guangzhou Maritime University | China

Prof. Dr. Chengli Sun is a distinguished scholar in the field of signal and information processing, widely recognized for his significant contributions to intelligent acoustic technology and next-generation speech systems.To date, his work has accumulated 336 citations across 303 documents, demonstrating the broad recognition and adoption of his research outcomes by both domestic and international peers. With 46 published documents spanning high-impact journals His research encompasses speech recognition, speech enhancement, acoustic scene analysis, and computer vision, with a strong focus on advancing human–machine voice interaction under complex and noisy environments. He has led a series of high-impact scientific projects, including major National Natural Science Foundation of China grants and key provincial and municipal initiatives, driving breakthroughs in generative adversarial network models, dual-diffusion speech enhancement, sustainable learning-oriented vehicle voice interaction, and speaker-specific keyword spotting. These research outcomes have enabled practical advancements in intelligent transportation, robotics, smart devices, and public safety. Alongside his research achievements, Prof. Dr. Chengli Sun plays an integral role in academic development and scientific service by contributing to expert review committees and supporting the progress of information processing and acoustics disciplines. He remains committed to high-level talent cultivation through leadership in first-class undergraduate teaching programs and the promotion of interdisciplinary innovation in artificial intelligence and signal processing. Collectively, his sustained research efforts, academic influence, and dedication to education position him as a leading figure shaping the future of intelligent voice technologies.

Profiles: Scopus | Orcid

Featured Publications

  • Sun, M., Sun, C., Zou, C., Zhang, J., & Xiang, D. (2025). Modeling of multi-electrode epicardial electrograms for conductivity estimation in atrial fibrillation. IEEE Access.

  • Li, J., Xiang, D., Li, C., Mao, S., Chen, Y., Sun, M., He, W., Deng, Y., & Sun, C. (2025, December 3). Learning student knowledge states from multi-view question–skill networks. Symmetry.

  • Leng, Y., Zhang, E., Zhuang, J., Shen, C., Sun, C., Yuan, Q., & Pan, J. (2025, October). A topic-specific representation learning framework for acoustic scene classification. Applied Soft Computing.

  • Rao, Z., Sun, C., Sun, J., Chen, F., Leng, Y., Sun, M., & Guo, Q. (2025, October 16). A new speech enhancement model based on residual denoising diffusion. Circuits, Systems, and Signal Processing.

  • Wan, M., Zhu, J., Sun, C., Yang, Z., Yin, J., & Yang, G. (2024). Tensor low-rank graph embedding and learning for one-step incomplete multi-view clustering. IEEE Transactions on Multimedia.

 

 

Mrs. Elzbieta Raus-Jarząbek | Biomedical Engineering | Research Excellence Award

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Mrs. Elzbieta Raus-Jarząbek | Biomedical Engineering | Research Excellence Award

Mrs. Elzbieta Raus-Jarząbek | AGH University of Krakow | Poland

Mrs. Elżbieta Raus-Jarząbek is a highly accomplished Software and Electronic Engineer and emerging biomedical researcher, with 5 scientific documents, 4 citations by 4 documents, and an h-index of 1, reflecting her growing academic impact alongside a strong engineering career. She combines expertise in electronics, telecommunications, biomedical signal processing, machine learning, and computer science. Her professional background includes significant experience at Motorola Solutions, where she worked in Unix and Windows virtualization, software deployment, installation package creation for Linux and Windows platforms, and automated testing, including web-based systems, while troubleshooting complex multi-environment infrastructures. She later contributed to Noble Systems Corporation in Kraków as a Software Engineer, developing cross-platform telecommunication software and SIP-based VoIP desktop applications using network programming techniques. Alongside industry roles, she gained broad hands-on experience through consulting and freelance work, designing sensor-based electronic interfaces and creating systems for data acquisition, processing, and interpretation. Currently, as a PhD candidate at AGH University of Science and Technology, she focuses on designing and validating wearable ECG devices and developing advanced ECG signal-processing and HRV-based cardiovascular risk prediction approaches using nonlinear analysis and machine learning. Her multidisciplinary expertise bridges electronics, software, and biomedical science, demonstrating a strong commitment to technological innovation and impactful healthcare research.

Profile: Scopus

Featured Publication

Raus-Jarząbek, E. (2025). A practical guide to ECG device performance testing according to international standards. Electronics (Open access).

 

Assist. Prof. Dr. Manea Almatared | Civil Engineering | Civil Engineering Award

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Assist. Prof. Dr.Manea Almatared | Civil Engineering | Civil Engineering Award

Assist. Prof. Dr. Manea Almatared | Najran University | Saudi Arabia

Assist. Prof. Dr. Manea Mohammed Saleh Almatared is an Assistant Professor in the Civil Engineering Department at the Engineering School, Najran University, specializing in the application of advanced technologies in infrastructure, construction, and facility management. He holds a Ph.D. and M.Sc. in Civil Engineering from Western Michigan University, USA, and a B.Sc. in Civil Engineering from Najran University, KSA. His research interests encompass Digital Twin technologies in construction and infrastructure, Building Information Modeling (BIM), real-time virtual and physical data integration, and predictive maintenance driven by the Internet of Things (IoT) and Artificial Intelligence (AI). Dr. Almatared has produced impactful scientific contributions with 121 citations from 117 citing documents, 4 published documents, and an h-index of 4, reflecting the academic strength and relevance of his work. His research aims to improve efficiency, sustainability, and safety in built environments through the adoption of cutting-edge digital solutions in civil engineering. Alongside his research, he has contributed to academic and administrative roles, including involvement in scientific research committees, accreditation and quality teams, student development, and community engagement. With both academic and practical experience—enhanced by his work as Assistant Project Manager and Research Assistant at Western Michigan University—Dr. Almatared remains dedicated to academic excellence, technological innovation, and preparing the next generation of civil engineers to meet future industry challenges.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Hakimi, O., Liu, H., Abudayyeh, O., Houshyar, A., Almatared, M., & Alhawiti, A. (2023). Data fusion for smart civil infrastructure management: A conceptual digital twin framework. Buildings, 13(11), 2725.

Almatared, M., Liu, H., Abudayyeh, O., Hakim, O., & Sulaiman, M. (2023). Digital-twin-based fire safety management framework for smart buildings. Buildings, 14(1), 4.

Almatared, M., Liu, H., Tang, S., Sulaiman, M., Lei, Z., & Li, H. X. (2022). Digital twin in the architecture, engineering, and construction industry: A bibliometric review. Construction Research Congress 2022, 670–678.

Tang, S., Liu, H., Almatared, M., Abudayyeh, O., Lei, Z., & Fong, A. (2022). Towards automated construction quantity take-off: An integrated approach to information extraction from work descriptions. Buildings, 12(3), 354.

Almatared, M. (2024). An integrated digital twin framework and evacuation simulation system for enhanced safety in smart buildings. Doctoral dissertation, Western Michigan University.

Dr. Partha Ghosh | AI in Engineering | Best Researcher Award

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Dr. Partha Ghosh | AI in Engineering | Best Researcher Award

Dr. Partha Ghosh | Netaji Subhash Engineering College | India

Dr. Partha Ghosh is a seasoned academic and researcher with more than 22 years of professional experience in Computer Science and Information Technology, currently serving as Associate Professor in the Department of Information Technology and Head of the Department of Computer Science and Business Systems at Netaji Subhash Engineering College, Kolkata. His research expertise spans Computer Networking, Machine Learning, Cloud Computing, Intrusion Detection Systems, Optimization Algorithms, Feature Selection and Classification Techniques, with a focus on developing secure, intelligent and high-performance cloud-based computational environments. His scholarly impact is reflected through 16 SCOPUS-indexed documents, 194 citations by 173 documents and an h-index of 7. Additionally, his ORCID profile lists 20 research works, and according to Google Scholar he has 333 citations (244 since 2020), an h-index of 10 (9 since 2020) and an i10-index of 10 (9 since 2020), demonstrating consistent and growing research visibility. To date, he has authored 24 publications including indexed journal papers, international conference papers and book chapters. He has taught a wide range of core and advanced courses such as Computer Organisation, Computer Networks, Advanced Computer Networking, Microprocessors and Microcontrollers and Database Management Systems at undergraduate and postgraduate levels. His academic engagement also includes serving as Editor-in-Chief and Editorial Board Member of reputed journals and holding multiple Fellow and Life Membership roles across professional bodies, underscoring his continued commitment to research innovation, knowledge dissemination and academic leadership.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Ghosh, P., Mandal, A. K., & Kumar, R. (2015). An efficient cloud network intrusion detection system. In Information Systems Design and Intelligent Applications: Proceedings of …

Ghosh, P., Karmakar, A., Sharma, J., & Phadikar, S. (2018). CS-PSO based intrusion detection system in cloud environment. In Emerging Technologies in Data Mining and Information Security: Proceedings …

Ghosh, P., & Mitra, R. (2015). Proposed GA-BFSS and logistic regression based intrusion detection system. In Proceedings of the 2015 Third International Conference on Computer …

Ghosh, P., Sarkar, D., Sharma, J., & Phadikar, S. (2021). An intrusion detection system using modified-firefly algorithm in cloud environment. International Journal of Digital Crime and Forensics, 13(2), 77–93.

Ghosh, P., Debnath, C., Metia, D., & Dutta, R. (2015). An efficient hybrid multilevel intrusion detection system in cloud environment. IOSR Journal of Computer Engineering, 16(4), 16–26.

Ghosh, P., Shakti, S., & Phadikar, S. (2016). A cloud intrusion detection system using novel PRFCM clustering and KNN based dempster-shafer rule. International Journal of Cloud Applications and Computing, 6(4), 18–35.

Prof. Dr. Raziyeh Pourdarbani | AI in Engineering | Research Excellence Award

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Prof. Dr. Raziyeh Pourdarbani | AI in Engineering | Research Excellence Award

Prof. Dr. Raziyeh Pourdarbani | University of Mohaghegh Ardabili | Iran

Prof. Dr. Raziyeh Pourdarbani is a distinguished professor in the Department of Biosystems Engineering at the University of Mohaghegh Ardabili, highly regarded for her academic and research contributions in smart and sustainable agriculture. She holds a Ph.D. in Agricultural Mechanization Engineering from the University of Tabriz and has developed deep expertise in precision agriculture, image processing, artificial intelligence, and machine vision with a focus on non-destructive quality evaluation of agricultural products. Her work advances the use of hyperspectral imaging, convolutional neural networks, metaheuristic algorithms, and Vis-NIR spectroscopy to address key challenges such as fruit bruise detection, nitrogen stress monitoring in plant leaves, and estimation of internal chemical properties in horticultural crops. She has also contributed impactful studies on sustainable energy systems related to agriculture, including biomethane production, hybrid geothermal–solar power plant optimization, and exergy-based diesel engine performance enhancement. Her research portfolio consists of 45 scientific documents with 762 citations from 639 citing documents, supported by an h-index of 17, demonstrating strong global visibility and scholarly influence. Through her innovative work integrating computational intelligence with biosystems engineering, she plays a leading role in advancing intelligent agriculture technologies that enhance productivity, reduce environmental impacts, and support long-term sustainability in the agricultural sector.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Pourdarbani, R., Ghassemzadeh, H. R., Seyedarabi, H., Nahandi, F. Z., & others. (2015). Study on an automatic sorting system for Date fruits. Journal of the Saudi Society of Agricultural Sciences, 14(1), 83-90.

  • Alibaba, M., Pourdarbani, R., Manesh, M. H. K., Ochoa, G. V., & Forero, J. D. (2020). Thermodynamic, exergo-economic and exergo-environmental analysis of hybrid geothermal-solar power plant based on ORC cycle using emergy concept. Heliyon, 6(4).

  • Pourdarbani, R., Sabzi, S., Kalantari, D., Karimzadeh, R., Ilbeygi, E., & Arribas, J. I. (2020). Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data. Biosystems Engineering, 195, 136-151.

  • Pourdarbani, R., Sabzi, S., Kalantari, D., & Arribas, J. I. (2020). Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different stages. Chemometrics and Intelligent Laboratory Systems, 206, 104147.

  • Razieh Pourdarbani, D. K. J. M. M. M., Sabzi, S., Hernández-Hernández, M., & José Luis … (2019). Comparison of different classifiers and the majority voting rule for the detection of plum fruits in garden conditions. Remote Sensing, 11(2546).

  • Salimi, M., Pourdarbani, R., & Nouri, B. A. (2020). Factors affecting the adoption of agricultural automation using Davis’s acceptance model (case study: Ardabil). Acta Technologica Agriculturae, 23(1), 30-39.

 

 

Prof. Dr Adrian Tunduc | Internet of Things | Editorial Board Member

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Prof. Dr Adrian Tunduc | Internet of Things | Editorial Board Member

Prof. Dr Adrian Tunduc | Oradea University | Romania

Prof. Dr Adrian Tunduc is a distinguished academic, researcher, and managerial professional whose career spans higher education, strategic research, and successful leadership across multiple industries. As a senior lecturer at the University of Oradea’s Faculty of Environment, he has achieved an exceptional academic performance score, far exceeding standard benchmarks, while teaching and developing key disciplines such as forest management, forest economics, quality management, tourism management, furniture technology, and wildlife resource management for both graduate and master’s students. His academic excellence is complemented by extensive experience in applied research, notably during his tenure as an associate researcher at the National Economic Research Institute of the Romanian Academy, where he led impactful projects on marketing research, feasibility studies for bio-land certification, Horizon 2020 applications, and strategic planning for the Danube microregion. Beyond academia, he has demonstrated strong business leadership through management roles in hospitality, transport, and manufacturing sectors, including transforming Vila De la Lugas into a high-performing guest facility with exceptional customer ratings. His earlier management of production and transport companies further highlights his ability to grow businesses, optimize operations, and innovate within competitive environments. Throughout his career, he has consistently delivered excellence through strategic thinking, academic rigor, and strong organizational development skills.

Profile: Google Scholar

Featured Publications

1. T., Adrian. (2010). E-Marketing in the Romanian agriculture and rural development.

2. T., Adrian. (2021). Forest governance for the future health of the planet.

3. T., Adrian. (2021). Forest economics: From theory to sustainable applications.

4. Tunduc, A. (2010). Marketing electronic în agricultură şi dezvoltarea rurală. Editura Universităţii din Oradea.

5. T., Adrian. (2018). The cluster concept for a sustainable development of thermal spa in România. Analele Universităţii Oradea, Fascicula Protecţia Mediului, 31(23), 273–277.

6. T., Adrian. (2018). Romanian bioresources – The thermal waters as a contribution to the Romanian tourism development. Analele Universităţii Oradea, Fascicula Protecţia Mediului, 30(23), 259–262.

Mr. Oussama El Gharras | Sustainable Engineering | Innovative Research Award

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Mr. Oussama El Gharras | Sustainable Engineering | Innovative Research Award

Mr. Oussama El Gharras | National Institute for Agricultural Research | Morocco

Mr. Oussama El Gharras is a distinguished agricultural engineering specialist with extensive expertise in mechanization, conservation agriculture, and the development of farm machinery, supported by a research record featuring 57 citations by 55 documents, 8 published documents, and an h-index of 4. Born on 22 November 1962 in Marrakech, he earned his Ingénieur d’application degree from IAV Hassan II, followed by a Master of Science in Agricultural Engineering from Oklahoma State University and PHD coursework at the University of Nebraska–Lincoln, later strengthening his managerial background through the Cycle Supérieur de Gestion at ENCG Settat. His career at INRA encompasses major contributions to small farm mechanization, animal traction, food legume production mechanisation, and the design and industrial development of No-Till seed drills and feed block units. He managed the INRA agricultural engineering laboratory and coordinated several national and international initiatives, including the INRA-IAV-DERD No-Till project, AAAID-CRRA Settat program, AusAID-ACIAR-INRA collaboration, and ConServeTerra. As Vice President of AGENDA and an active member of AMAC and the National Commission of Agricultural Mechanization, he continues to play a pivotal role in advancing sustainable agriculture in North Africa. His scientific publications address conservation agriculture, weed dynamics, and resilient farming systems in semi-arid regions.

Profile: Scopus

Featured Publications

El Gharras, O. (2024). Perceptions and sociocultural factors underlying adoption of conservation agriculture in the Mediterranean. Agriculture and Human Values.

El Gharras, O., El Mourid, M., & Boulal, H. (2016). Conservation agriculture in North Africa: Experiences, achievements and challenges. In A. Kassam et al. (Eds.), Conservation agriculture for Africa: Building resilient farming systems in changing climate. CAB International.

Tanji, A., El Gharras, O., Mayfield, A., & El Mourid, M. (2017). On-farm evaluation of integrated weed management in no-till rainfed crops in semi-arid Morocco. African Journal of Agricultural Research, 12(16), 1404–1410.

Tanji, A., El Gharras, O., Ouabbou, H., & Mladen, T. (2017). Weed dynamics in no-till rainfed crops in Chaouia, semi-arid Morocco. Journal of Agricultural Science, 9(11).

El Gharras, O., El Brahli, A., & El Mourid, M. (2009). No-till system applied to Northern Africa rainfed agriculture: Case of Morocco. In Proceedings of the 4th World Congress on Conservation Agriculture (pp. xx–xx). New Delhi, India.

El Gharras, O., & Idrissi, M. (2006). Contraintes technologiques au développement du semis direct au Maroc. Options Méditerranéennes, Série A: Séminaires Méditerranéens, 69, 121–124.

El Gharras, O., Ait Lhaj, A., & Idrissi, M. (2004). Développement d’un semoir non labour industriel. In Deuxièmes Rencontres Méditerranéennes sur le Semis Direct (pp. 74–81). FERT/RCM; AGER.

 

Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

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Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

Dr. Gun Rae Cho | Korea Institute of Robotics and Technology Convergence | South Korea

Dr. Gun Rae Cho has significantly advanced the field of underwater robotics through pioneering research in autonomous marine systems, intelligent control, and mission-resilient subsea technologies. With 435 citations across 401 documents, 46 publications, and an h-index of 10, he has established a strong scientific footprint in marine autonomy and robotic innovation. His work encompasses robust control of AUVs, relative-motion–based multi-thruster coordination, and adaptive maneuvering strategies that ensure stability, precision, and reliability in turbulent, shallow-water, and highly turbid environments. Dr. Cho has led the development of digital-twin inspection systems for ports, dams, locks, and subsea infrastructure, integrating imaging sonar, inertial navigation, acoustic sensing, and AI-driven perception for high-fidelity autonomous inspection. He has also contributed to next-generation diver-assistance robotics and advanced teleoperation-assistance technologies for underwater manipulators, improving safety and efficiency in complex intervention tasks. Through leadership in major national R&D projects, he has strengthened Korea’s capabilities in maritime search operations, underwater infrastructure O&M, autonomous robotic fleets, and heavy-duty ROV industrialization. His extensive collaborations with universities, research institutes, and industry have produced practical robotic platforms and inspection solutions that support marine safety and technological growth. Collectively, his contributions position Korea at the forefront of intelligent ocean-technology development.

Profiles: Scopus | Orcid

Featured Publications

Cho, G. R., Kang, H., Li, J.-H., Kim, M.-G., Jin, H., Lee, M.-J., & Jin, S. (2025). Estimation of hydrodynamic coefficients for the underwater robot P-SUROII via constraint recursive least squares method. Journal of Marine Science and Engineering, 13(9), Article 1610.

Cho, G. R., Kang, H., Kim, M.-G., Lee, M.-J., Li, J.-H., Kim, H., Lee, H., & Lee, G. (2023). An experimental study on trajectory tracking control of torpedo-like AUVs using coupled error dynamics. Journal of Marine Science and Engineering, 11(7), Article 1334.

Li, J.-H., Kang, H., Kim, M.-G., Lee, M.-J., Cho, G. R., & Jin, H.-S. (2022). Adaptive formation control of multiple underactuated autonomous underwater vehicles. Journal of Marine Science and Engineering, 10(9), Article 1233.

Cho, G.-R., Ki, G., Lee, M.-J., Kang, H., Kim, M.-G., & Li, J.-H. (2021). Experimental study on tele-manipulation assistance technique using a touch screen for underwater cable maintenance tasks. Journal of Marine Science and Engineering, 9(5), Article 483.

Li, J.-H., Lee, M.-J., Kang, H., Kim, M.-G., & Cho, G. R. (2021). Design, performance evaluation, and field test of a water jet tool for ROV trencher. Journal of Marine Science and Engineering, 9(3), Article 296.

Cho, G. R., Ki, H., Li, J.-H., Lee, M., & Jee, S. C. (2018). Assisted teleoperation for underwater manipulation utilizing touch screen inputs. 2018 15th International Conference on Ubiquitous Robots (UR), 271–276.

 

Dr. Federica Perazzotti | Aerospace Engineering | Best Researcher Award

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Dr. Federica Perazzotti | Aerospace Engineering | Best Researcher Award

Dr. Federica Perazzotti | Alma Sistemi Srl – Engineering for Space | Italy

Dr. Federica Perazzotti is a dynamic researcher and project manager whose academic foundation in Natural Sciences and a PhD in Sustainable Development and Climate Change has shaped her multidisciplinary expertise across coastal geomorphology, climate evolution, and applied research for space engineering. With 8 citations by 6 documents, 5 documents, and an h-index of 2, she has contributed to diverse scientific discussions through numerous lectures, workshops, and conference presentations at national and international levels, including EGU, SGI, and the Swiss Geoscience Meeting. Throughout her doctoral journey, she engaged in geological fieldwork, numerical modelling collaborations, academic communication management, and international mobility at the University of the Balearic Islands. Her work spans coastal evolution during Late Pleistocene climatic phases, short-term beach profile modelling, and climate-related hazard interpretation. Following her PhD, she assumed the role of Project Manager in the Research and Development Department and Social Media Manager at ALMA SISTEMI – Engineering for Space, where she contributes to European research initiatives, outreach, and technical coordination. She has participated in major scientific and industry events such as the National Marine Geology Conference, ASI Horizon Europe Cluster 4, Remtech Expo, and EU project workshops, reflecting her commitment to bridging scientific research, technological innovation, and interdisciplinary communication.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Perazzotti, F., Del Valle, L., & Fornós, J. J. (2024). An overview of Upper Pleistocene coastal deposits on Mallorca Island. Quaternary International, 707, 60–71.

Perazzotti, F., Del Valle, L., Cossu, G., Pascucci, V., & Fornós, J. J. (2025). Paleoenvironmental changes and sea-level fluctuations record at Punta de s’Avançada, Mallorca Island. Quaternary International, 735, 109839.

Perazzotti, F., Del Valle, L., & Fornós, J. J. (2024). Upper Pleistocene in Mallorca: Sedimentary variability of littoral units in relation to different structural contexts. Quaternary International, 709, 1–14.

Del Valle, L., Perazzotti, F., & Fornós, J. J. (2025). Cliff-front dune development during the Late Pleistocene at Sa Fortalesa (Mallorca, Western Mediterranean). Geosciences, 15(7), 260.

Perazzotti, F., & Del Valle, L. (2025). Resilience by the sea: Coastline evolution in Latina, Latium. Journal of Marine Science and Engineering.

Perazzotti, F., Gómez-Pujol, L., Cossu, G., Pascucci, V., & Fornós, J. J. (2025). Pleistocene stratigraphy of aeolian deposits at the base of an energetic structural coastal slope: Sedimentology and OSL chronology (Port des Canonge, Mallorca, Western Mediterranean). Geomorphology, 110051.