Eva Malinverni | Engineering | Research Excellence Award

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Eva Malinverni | Engineering | Research Excellence Award

Università Politecnica delle Marche | Italy

Prof. Eva Savina Malinverni is a Full Professor of Geomatics (SSD ICAR/06) at the Faculty of Engineering, DICEA, Università Politecnica delle Marche. Her research focuses on multiple areas of Geomatics, including Cultural Heritage documentation, land use analysis, digital acquisition techniques, and the management of complex spatial data through GIS, (H)BIM, 3D modeling, and CityGML. She is actively involved in international research initiatives, collaborating with CNR-ISPC and participating in several MAECI projects related to UNESCO and heritage sites across Europe, the Middle East, Southeast Asia, and South America. She leads major international and European projects, including bilateral scientific cooperation initiatives and EU-funded research on combating illicit cultural heritage trafficking through artificial intelligence. An active member of ICOMOS and Expert Member of CIPA-HD, she has also contributed to COST Actions focused on cyberparks and underground built heritage. With an extensive scientific output and strong interdisciplinary collaborations, she has co-founded university spin-offs and works closely with several interdepartmental research centers, contributing significantly to innovation, heritage preservation, and applied geomatics research.

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Featured Publications


A survey of augmented, virtual, and mixed reality for cultural heritage

– Journal on Computing and Cultural Heritage, 2018


From TLS to HBIM: High quality semantically-aware 3D modeling of complex architecture

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015


Deep convolutional neural network for automatic detection of damaged photovoltaic cells

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018


A benchmark for large-scale heritage point cloud semantic segmentation

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020

Toh Yen Pang | Engineering | Research Excellence Award

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Toh Yen Pang | Engineering | Research Excellence Award

RMIT University | Australia

Prof. Dr. Toh Yen Pang is a researcher specialising in systems design, biomechanical modelling, and digital twin development for advanced biomedical applications. His work integrates advanced technologies and simulation methods to create bioengineered models and devices that support personalised solutions while reducing reliance on costly and time-intensive animal testing and clinical trials. He serves as a Theme Leader within the RMIT Digitalisation Network, focusing on human-centred design and workforce wellbeing, and has secured significant competitive research funding from major government, medical, and defence-related organisations.

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Featured Publications

Mohamed Taieb Krakdia | Engineering | Best Researcher Award

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Mohamed Taieb Krakdia | Engineering | Best Researcher Award

University of Gabes | Tunisia

Mr. Mohamed Taieb Krakdia is a distinguished Tunisian academic and educator with a long and impactful career in the Ministry of Education, where he has served in various capacities, including Distinguished Senior Professor of Exceptional Degree, Senior Professor Emeritus of Secondary Education, and Senior Secondary School Teacher in Sidi Bouzid. Beginning his teaching career after earning the CAPES diploma, he has dedicated more than two decades to shaping the educational landscape in Tunisia while also pursuing advanced research in renewable energy and electrical engineering. He holds a Professional Master’s Degree in Renewable Energies and Energy Efficiency from ISET Sidi Bouzid, an Engineering Master’s Degree in Electrical Engineering from Université Elhadj Lakhder in Algeria, and is currently engaged in doctoral studies at ENIG Tunisia, focusing on the optimization of renewable energy resources in microgrids. His research interests revolve around integrating renewable energy sources such as photovoltaic systems, wind power, and solid oxide fuel cells into advanced microgrid structures with efficient energy storage and control strategies. He has contributed to the academic literature with publications including “Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell, and Battery Storage” and “Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer), and Three-Phase Four-Leg Inverter.” Alongside his academic pursuits, he is proficient in a range of technical and simulation tools such as MATLAB, Autocad, C/C++, and microcontroller programming, underscoring his commitment to both theoretical advancement and practical innovation in renewable energy systems.

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Featured Publications

  • Krakdia, M. T., & Sbita, L. (2024). Sliding-mode and Lyapunov function based control for a DC microgrid with renewable generation, a solid oxide fuel cell and battery storage. In Advances in Renewable Energy and Power Systems  Springer.

  • Krakdia, M. T., & Sbita, L. (2025). Control for a DC microgrid for photovoltaic–wind generation with a solid oxide fuel cell, battery storage, dump load (aqua-electrolyzer) and three-phase four-leg inverter (4L4W). Clean Technologies, 7(3), 79.