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Ramya Korlakai VinayakView profile

Assistant Professor

• Machine Learning
• Statistical Inference
• Crowdsourcing
• +2 more

Ramya Korlakai Vinayak is the Dugald C. Jackson Assistant Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. She also holds affiliations with the Department of Computer Science and the Department of Statistics at UW-Madison. Her research program bridges theoretical machine learning with practical applications in data science and crowdsourcing. Education: PhD in Electrical Engineering from California Institute of Technology (Caltech), advised by Prof. Babak Hassibi B.Tech in Electrical Engineering with minor in Physics from Indian Institute of Technology Madras (IIT Madras) Dr. Vinayak's research focuses on developing theoretically grounded machine learning tools for reliable inference using data from human sources. Her work spans machine learning theory, statistical inference, and crowdsourcing systems, with particular emphasis on preference learning, metric learning, and robust dataset construction. She has pioneered methods for learning from limited pairwise comparisons, auto-labeling systems, and human-in-the-loop out-of-distribution detection. Her recent publications reveal a consistent trajectory toward building practical machine learning systems that incorporate human feedback while maintaining theoretical guarantees. The pattern shows increasing focus on ethical considerations in AI, particularly regarding bias in generative models and reliable human-AI collaboration frameworks. Scientific Awards: Faculty for the Future fellowship (2013-2015) from Schlumberger Foundation NSF CAREER Award American Family Funding Initiative Award with Fred Sala Dr. Vinayak leads an active research group with multiple PhD students across ECE and CS departments. She has secured significant research funding including an NSF grant for "Uncovering the cognitive and neural fingerprints that make each of us unique" in collaboration with Tim Rogers, Rob Nowak and Brad Postle. She is also co-organizing the MidWest Machine Learning Symposium and NeurIPS tutorials on dataset construction. Her research group operates at the intersection of theory and practice, developing mathematically grounded frameworks that address real-world challenges in dataset construction, human-AI collaboration, and reliable machine learning systems.

Changxing DongView profile

Researcher

• Agent-based Modelling
• Agricultural Policy Simulation
• Ecosystem Services Modelling
• +3 more

Dr. Changxing Dong is a Research Associate at the Leibniz Institute of Agricultural Development in Transition Economies (IAMO) since November 2010, specializing in agent-based modeling and agricultural policy simulation. He previously worked at Martin-Luther-University Halle-Wittenberg. Current affiliation: IAMO Department of Structural Development of Farms and Rural Areas Prior affiliation: Martin-Luther-University Halle-Wittenberg His research focuses on: Agent-based modeling of agricultural systems Ecosystem services quantification Land market dynamics and resilience Policy simulation tools (AgriPoliS) Multifunctional agricultural land use Recent publications highlight trends in: Deep reinforcement learning integration with agent-based models AgriPoliS software sustainability Spatial analysis of grazing intensity in Kazakhstan Simulation games for policy evaluation He collaborates extensively on projects like AgEnRes, AgriPoliS, MULTAGRI, and Rehwinkel Resilience, working with Alfons Balmann, Ruth Njiru, and Franziska Appel on AI-enhanced agricultural simulations.

Renata Borovica-GajicView profile

Associate Professor

• Database Systems
• Machine Learning
• Artificial Intelligence
• +12 more

Renata Borovica-Gajic is an Associate Professor in Data Analytics and an ARC DECRA Fellow at the School of Computing and Information Systems (CIS), University of Melbourne. She also serves as Associate Dean (Diversity and Inclusion) for the Faculty of Engineering and IT, demonstrating leadership in both research and academic community development. Her research lies at the intersection of database systems, machine learning, and artificial intelligence, with a vision of creating adaptive, self-driving database engines that optimize query execution in real-time. Her work spans learned indexes, query optimization, data quality, and data-driven traffic optimization, aiming to reduce costs and improve performance in data analytics. The recent publications reflect a strong trend toward integrating machine learning into core database operations—particularly through learned indexes, bandit-based tuning, and reinforcement learning for traffic systems. These works emphasize automation, provable guarantees, and real-time adaptation, showcasing a cohesive research agenda focused on intelligent, self-optimizing data systems. Her scientific excellence is recognized by numerous awards, including: L'Oréal-UNESCO for Women in Science Fellowship (2023) Victorian Young Tall Poppy (2024) Test of Time Award at SIGMOD 2022 Multiple Research and Teaching Excellence Awards from the University of Melbourne Google Research Inclusion Award (2021) She actively mentors PhD students and leads significant research projects funded by the Australian Research Council, Google, and Telstra. Her service includes roles as Associate Editor for SIGMOD Record, conference organization (e.g., aiDM, ADC, VLDB), and leadership in diversity and inclusion initiatives. She has also contributed to influential publications such as a chapter in the 7th edition of Database System Concepts . Her research lab focuses on AI-powered databases, traffic optimization via reinforcement learning, and self-healing data systems, positioning her at the forefront of next-generation data management.

• Construction Materials Science
• Geopolymer and Alkali-Activated Binders
• Radioactive Waste Solidification
• +7 more

Dr. Katalin KOPECSKÓ is Associate Professor in the Department of Engineering Geology and Geotechnics , Faculty of Civil Engineering, Budapest University of Technology and Economics (BME) . She lectures on construction-materials chemistry, durability and advanced concrete technologies, and maintains an active research portfolio spanning radioactive-waste solidification, geopolymer binders, supplementary cementitious materials and fibre-reinforced cementitious composites. Education & Academic Career Long-standing faculty member at BME Faculty of Civil Engineering (exact degrees not specified in text). Regular instructor for master-level courses: Alkali Activated Materials in Civil Engineering , Chemistry of Construction Materials , Durability of Construction Materials , Structure–Property Relations of Concrete . Holds weekly consultation hours on Thursdays 12–14 in building K, basement level, room 10/5. Research Focus Her research integrates materials science , geotechnical engineering and nuclear-waste management . Recent investigations include: Development of alkali-activated recipes for borate-rich liquid radioactive waste using limestone-portland blends. Application of semi-adiabatic calorimetry to identify optimal cement types for radioactive waste cementation. Enhancement of 3D-printing performance of concrete via metakaolin and silica fume. Long-term geotechnical and hydraulic impacts of municipal solid-waste leachate on soils. Durability of natural-fibre and nanocellulose-reinforced geopolymer mortars. Corrosion behaviour of vitrified high-level waste glass under simulated repository conditions. Across 2022-2025 she has published more than 40 peer-reviewed articles, reflecting a clear shift toward sustainable construction materials , nuclear environmental safety and advanced testing methodologies . Laboratory & Collaborative Environment Dr. KOPECSKÓ operates within BME’s well-equipped Engineering Geology and Geotechnics laboratories, where calorimetry facilities, geopolymer synthesis rigs and microstructural analysis tools support her projects. Close collaboration exists with the Vásárhelyi Pál Doctoral School and the national nuclear-waste management programme at Paks NPP, evidenced by joint publications on cemented-waste testing laboratories. Grants & Awards While specific grant numbers are not listed, her sustained output in high-impact journals and participation in national projects (e.g., NVKP_16-1-2016-0019 “Increasing the Chemical Resistance of Concrete”) indicate continuous external funding. Contact Office: Building K, basement, room 10/5, Budapest University of Technology and Economics. E-mail: kopecsko.katalin@emk.bme.hu Phone: +36 1 463 2238

Adèle CARRADOView profile

Professor

• Solid State Physics
• Biomedical Engineering
• Materials Science
• +3 more

Dr. Adèle Carradò is a Full Professor in Solid State Physics at the University of Strasbourg (UNISTRA), affiliated with the Institute of Physics and Chemistry of Materials (IPCMS). Her research focuses on bioactive coatings, surface characterization of metallic and multi-layer systems, and mechanical properties of hybrid materials. PhD in Mechanics and Material Science (University of Reims, 2001) HDR (University of Strasbourg, 2004) Research Assistant (University of Ancona, 1997-1998) Post-doc (CEA Saclay, 2002) Her work includes over 70 original articles, two patents, and 50+ invited lectures. She specializes in: Residual stress analysis via neutron and synchrotron radiation Functional thin films for biomedical applications Mechanical behavior of metal/polymer/metal systems 3-layered sandwich structures for lightweight design Zn-Mg alloys for orthopedic implants Surface grafting techniques for biomaterials Recent publications highlight advancements in: Biodegradable Zn-Mg alloys with PMMA coatings ATUM-SEM for bone microstructure analysis Forming mechanics of steel-glass fiber-reinforced composites Residual stress optimization in extruded and drawn materials She actively participates in international conferences and serves on executive committees for biomedical materials symposia.

• Protein Engineering
• Biomaterials
• Biological Macromolecules
• +5 more

Sesilja Aranko is an Assistant Professor at Aalto University , affiliated with the Department of Bioproducts and Biosystems. Her research focuses on protein engineering, biomolecular condensates, and sustainable materials derived from biological macromolecules. Research Groups : Cellular Engineering Email : sesilja.aranko@aalto.fi Her work explores protein self-assembly mechanisms, particularly in spider silk and collagen systems, leveraging liquid-liquid phase separation for advanced biomaterial design. Recent studies investigate how polymer length and modular protein architecture control condensate properties, alongside developing bio-inspired adhesives from recombinant proteins and nanocellulose. She has pioneered the use of Catcher/Tag click-reaction tools for protein engineering and developed sustainable methods for spider silk production with inherent functionalization potential. Collaborative projects span marine biology (sea cucumbers) and keratin waste upcycling for textile applications. Key methodologies include intein-mediated protein splicing, segmental isotopic labeling, and structural characterization of protein ligation systems. Her research bridges fundamental biophysics with industrial applications in sustainable chemistry and biomimetic composites.

Daniel RobertzView profile

Professor

• Differential Algebra
• Difference Algebra
• Computer Algebra
• +5 more

Daniel Robertz is a University Professor of Algebra and Number Theory at RWTH Aachen University, Germany, with his office located at Pontdriesch 14/16, Room 102 in Aachen. He actively participates in several academic seminars including the Joint Algebra Seminar at RWTH Aachen University, the Kolchin Seminar in Differential Algebra (online/New York), and the Diff.-Equations and Singularities Seminar (online). Professor Robertz's research spans multiple mathematical disciplines with primary focus on Differential Algebra , Difference Algebra , Computer Algebra , Discrete Geometry , Simplicial Surfaces , Group Theory , Invariant Theory , and Algebraic Systems Theory . He has developed several influential Maple packages including Janet , Involutive , JanetOre , LDA , and OreModules that have advanced computational methods in algebraic analysis of differential systems. His scholarly output demonstrates a consistent focus on algorithmic approaches to differential equations with increasing interdisciplinary applications, particularly in structural engineering through discrete geometry and origami-inspired designs for carbon-reinforced concrete structures. This research trajectory shows how abstract mathematical concepts can solve practical engineering problems, especially in sustainable construction materials development. Editorial Board of Mathematics in Computer Science Special Issue in Honor of Vladimir Gerdt (2022) Applications of Computer Algebra (ACA 2017, Jerusalem) (2019) Professor Robertz has organized numerous international workshops on computational differential and difference algebra and maintains active research collaborations across mathematics, engineering, and materials science disciplines. His work on algebraic methods for structural design involves partnerships with researchers in civil engineering, architectural design, and materials science. He leads research activities in the Chair of Algebra and Number Theory at RWTH Aachen, where his team develops computational methods for algebraic analysis of differential systems. His group maintains strong international connections with research communities in computer algebra, differential algebra, and mathematical engineering applications.

Sławomir BorysiakView profile

Professor

• Physicochemistry of polymers
• Plastics processing
• Polymer recycling
• +9 more

Professor Sławomir Borysiak is a distinguished academic at Poznań University of Technology, where he serves as Head of the Polymer Department within the Faculty of Chemical Technology. With a career spanning over two decades, he earned his Master of Science in Engineering in 1996, PhD in Chemical Sciences in 2000, completed his habilitation in 2013, and achieved the rank of university professor in 2020. His work bridges academic research and industry applications, serving as Faculty Coordinator for Cooperation with Industry and as a member of the University Team for Cooperation with the Economy. Current Position: Professor, Head of Polymer Department Institution: Poznań University of Technology, Faculty of Chemical Technology Scientific Disciplines: Chemical Sciences (75%), Materials Engineering (25%) ORCID: 0000-0003-3485-4787 Professor Borysiak's research focuses on the physicochemistry of polymers, plastics processing and recycling, and polymer composites containing renewable fillers of plant origin. His work extends to structural studies of low molecular weight compounds, minerals, polymers and nanomaterials, with particular emphasis on the functional properties of plastics and composite materials. His laboratory investigates innovative approaches to wood-polymer composites, nanocellulose applications, and sustainable material development. Analysis of Professor Borysiak's publication record reveals a strong focus on sustainable polymer composites, with particular emphasis on lignocellulosic materials, nanocellulose applications, and renewable fillers. His recent work shows increasing integration of nanotechnology with traditional polymer science, particularly in developing antimicrobial properties, enhanced mechanical characteristics, and improved sustainability profiles for polymer composites. The research spans fundamental material science to practical applications in construction, packaging, and biomedical fields. Professor Borysiak has received recognition through his appointment as Vice-Chairman of the University Disciplinary Committee for Doctoral Students and as a member of the Board of the Polish Chemical Society, Poznań Branch. He also serves on the Polish Society of Calorimetry and Thermal Analysis and the Awards Committee of the Polish Chemical Society. As an educator, Professor Borysiak has supervised multiple doctoral dissertations, including those of Majka Odalanowska (2023) and Aleksandra Grząbka-Zasadzińska (2017). His teaching portfolio includes courses on physicochemistry of polymers, composites, nanomaterials, polymer materials technology, and chemical technology. He maintains active scientific collaborations with institutions including University of Edinburgh, Institute of Molecular Physics of the Polish Academy of Sciences, Casimir the Great University in Bydgoszcz, and several other Polish universities. His laboratory focuses on polymer research with particular expertise in wood-plastic composites, nanocellulose applications, and sustainable material development. Current projects involve developing antimicrobial polymer composites, enhancing material properties through novel hybrid fillers, and investigating the effects of various treatments on lignocellulosic materials.

• Dynamical systems and gradient flows
• Analysis of partial differential equations
• Stochastic analysis
• +2 more

Arnulf Jentzen is a distinguished mathematician holding dual positions as Presidential Chair Professor at the School of Data Science and Shenzhen Research Institute of Big Data at The Chinese University of Hong Kong, Shenzhen, and as Full Professor at the Faculty of Mathematics and Computer Science at the University of Münster, Germany. His research spans multiple institutions with significant contributions across mathematical disciplines. His primary research interests include dynamical systems and gradient flows (particularly geometric properties, domains of attractions, blow-up phenomena), analysis of partial differential equations, stochastic analysis (including stochastic calculus and well-posedness analysis), machine learning (with focus on mathematics for deep learning and stochastic gradient descent methods), and numerical analysis (particularly computational stochastics and computational finance). His work demonstrates a strong interdisciplinary approach bridging pure mathematics with practical computational applications. Jentzen's publication record shows a clear trend toward machine learning applications in solving complex mathematical problems, particularly in overcoming the curse of dimensionality in high-dimensional PDEs through deep neural networks. His research group actively publishes on optimization methods like Adam, convergence analysis, and applications of deep learning to partial differential equations and optimal control problems. ICBS Frontier of Science Award in Mathematics (2024) Fellow, Lamarr Institute (2023) ERC Consolidator Grant (2022) Joseph F. Traub Prize for Achievement in Information-Based Complexity (2022) Felix Klein Prize, European Mathematical Society (EMS) (2020) Professor Jentzen advises numerous PhD students across both institutions and serves on multiple editorial boards including SIAM Journal on Numerical Analysis, Journal of Complexity, and Communications in Computational Physics. His research group at Münster and CUHK-Shenzhen focuses on developing mathematical foundations for machine learning with applications to scientific computing problems. He has received significant research funding including an ERC Consolidator Grant, supporting his interdisciplinary work at the intersection of mathematics and artificial intelligence.

James A. SherwoodView profile

Professor

• Composite Materials
• Sports Engineering
• Finite Element Analysis
• +3 more

James A. Sherwood is a Professor and Associate Dean for Graduate Studies at the Francis College of Engineering, University of Massachusetts Lowell. He serves as Director of the Baseball Research Center and Co-Director of the Advanced Composite Materials and Textiles Research Laboratory (ACMTRL) and the Sports Collaborative for Open Research and Education (SCORE). Dr. Sherwood earned his B.S. in Engineering Science, M.S. in Applied Mechanics, and Ph.D. in Aerospace Engineering and Engineering Mechanics from the University of Cincinnati. With nearly 40 years of experience, he has established himself as an expert in finite element analysis and composite materials. His research interests focus on composite materials with specialty in the forming of composites, finite element modeling, sports engineering with emphasis on baseball and football, and constitutive modeling. Dr. Sherwood has developed novel modeling approaches for simulating composite forming using the finite element method and has expertise in characterizing textiles used for fabric-reinforced composites. His recent publications demonstrate a strong focus on wind turbine blade manufacturing, composite forming processes, and sports engineering applications, particularly in baseball equipment analysis. Fastballs, Flips and Physics - Science on the Sandlot - Baseball Hall of Fame Featured in ESPN Magazine for compliance testing of Major League Baseball E-Council Teacher of the Year for Mechanical Engineering (1999) E-Council Teacher of the Year for Mechanical Engineering (1998) Teacher of the Year for Mechanical Engineering (1997) Dr. Sherwood has led research projects totaling over $15 million, funded by NASA, AFOSR, NSF, DOE, US Army Natick Soldier Research Development and Engineering Center, NIST, Major League Baseball, Little League Baseball, NCAA, and various sporting goods companies. He currently leads the NIST FIBERS Consortium to address challenges faced by the U.S. Composites Manufacturing industry. His work bridges academic research with practical industry applications, particularly in wind energy and sports technology. As Co-Director of the Advanced Composites and Textile Research Lab (ACMTRL), Dr. Sherwood has built a research team focused on the structural behavior of composites and relating manufacturing processes to resulting structural stiffness. His Composites Forming research team has expertise in characterizing textiles for fabric-reinforced composites and has developed innovative approaches to simulating composite forming processes.

• Structural Engineering
• Construction Engineering
• Concrete Structures
• +3 more

Dr. Antoni Cladera Bohigas is a Full Professor in the Department of Industrial Engineering and Construction at the University of the Balearic Islands (UIB), where he serves as Deputy Director of the department since 2020. He holds a PhD in Construction Engineering from the Polytechnic University of Catalonia (2003), where he also received the Outstanding Doctorate Award. With over two decades of academic experience, he teaches various structural engineering courses across undergraduate and master's programs at UIB. His educational background includes: PhD in Construction Engineering from Polytechnic University of Catalonia (2003) Civil Engineering degree with specialization in Structural Engineering from Polytechnic University of Catalonia (1999) Civil Engineering degree from Polytechnic University of Catalonia (1997) Professor Cladera's research primarily focuses on structural engineering , with special emphasis on the behavior of deteriorated concrete structures and applications of shape memory alloys (particularly iron-based SMAs) for structural reinforcement. He has published over 85 scientific articles, collaborated on books and regulations, and participated in over 165 conferences. His research has evolved from fundamental work on shear strength models for reinforced concrete to innovative applications of shape memory alloys in structural rehabilitation, with recent work focusing on active continuity systems for hollow-core slabs and shear strengthening techniques using iron-based shape memory alloys. His scientific contributions have earned him significant recognition including inclusion in the Stanford University/Elsevier list of the 2% most cited scientists worldwide (2023-2024), the Mirko Roš silver medal award from Empa for his best paper in SMAR2015, and the Best Research Paper award for the journal "Hormigón y Acero" (2014-2016). He is also a member of the Leonardo Network of the BBVA Foundation in engineering (2018). Professor Cladera has supervised 4 completed doctoral theses with 3 more in progress. His academic leadership extends beyond research, having held significant administrative roles including Deputy Director of the Department of Industrial and Construction Engineering (2020-present), Coordinator of the Academic Commission of the PhD Program in Physics (2018-2021), and Associate Vice-Rector of University Infrastructures (2008-2012). He is actively involved in professional organizations, having served as Vice President of the Spanish Association of Structural Engineering (ACHE) from 2017 to 2022. He co-founded the educational YouTube channel 'Ingenia-ConStruct,' which has accumulated over 1.9 million views, demonstrating his commitment to disseminating structural engineering knowledge. His international experience includes research stays at the University of Toronto and EMPA (Swiss Federal Laboratories), as well as humanitarian engineering work in multiple developing countries.

Nick VirgilioView profile

Professor

• Thermodynamics
• Multiphase systems
• Surfaces, interfaces and thin layers
• +2 more

Nick Virgilio is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal . His research focuses on soft matter interfaces, polymer blends, and advanced hydrogel systems for biomedical and catalytic applications. Director, Research Laboratory on Surfaces, Interfaces and Soft Matter Member, Research Center for High-Performance Polymer and Composite Systems (CREPEC) Research interests include interfacial phenomena in multiphase systems, self-assembly of soft materials, nanoparticle-hydrogel composites, Pickering emulsions, and polymer microstructure engineering. Scientific awards include the 2010 Canadian Macromolecular Science Thesis Prize and the 2004 Polytechnique Montréal Master's Thesis Award. Recent publications highlight his work in macroporous hydrogels for cancer cell capture, nanoparticle synthesis in soft matrices, and interfacial control of polymer blends. His studies frequently appear in high-impact journals like ACS Applied Materials & Interfaces , Green Chemistry , and Macromolecules . Students under his supervision have explored topics from biofilm mechanics to lunar environment polymer systems across 4 PhD and 6 Master’s theses completed or ongoing.

Larry P HeckView profile

Professor

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +7 more

Larry P. Heck is a Professor with a joint appointment in the School of Electrical and Computer Engineering and School of Interactive Computing at the Georgia Institute of Technology. He holds the Rhesa S. Farmer Advanced Computing Concepts Chair and is a Georgia Research Alliance Eminent Scholar . Education: BSEE, Texas Tech University (1986) MSEE, Georgia Institute of Technology (1989) PhD EE, Georgia Institute of Technology (1991) His research focuses on conversational AI , dialogue systems , and machine learning applied to natural language processing and speech recognition . He pioneered early industrial applications of deep learning in speech processing and has contributed to advancements in multimodal interaction, knowledge distillation, and real-time question answering systems. Recent publications emphasize moral reasoning in AI , multimodal dialogue , and large-scale dataset creation for conversational systems. His work bridges language modeling , sensor fusion , and ethical AI through innovations in contextual reasoning and interface masking. Scientific Distinctions: IEEE Fellow (2020) IEEE Signal Processing Society Best Paper Award Academy of Distinguished Engineering Alumni, Georgia Tech (2017) Distinguished Engineer Award, Texas Tech University (2017) Fellow, National Academy of Inventors (2025) He has secured significant funding from DARPA and NSA for speaker recognition systems and has led cutting-edge research at institutions including Microsoft, Google, and Samsung. His lab focuses on conversational systems and deep learning for speech and multimodal data.

Philip RomeroView profile

Associate Professor

• Protein Engineering
• Computational Biology
• Machine Learning
• +3 more

Philip Romero, Ph.D., is an Associate Professor in the Department of Biomedical Engineering at Duke University. He earned his doctorate from the California Institute of Technology in 2012 and leads the Romero Lab, which relocated to Duke in 2023. His research focuses on developing computational and experimental methods for protein engineering, with applications spanning therapeutics, biocatalysis, and synthetic biology. Research Interests: Romero's work integrates machine learning, microfluidics, and high-throughput experimentation to study protein fitness landscapes. Key areas include: Self-driving laboratories for autonomous protein optimization Neural network models for predicting protein functions Therapeutic enzyme engineering (ACE2, caspases, lysins) Microfluidic platforms for deep mutational scanning His recent publications demonstrate a strong emphasis on machine learning-guided protein design, with 80% of post-2022 publications involving AI/ML methods. Therapeutic applications against infectious diseases (particularly SARS-CoV-2) and microbiome engineering represent emerging directions. Lab & Advising: The Romero Lab develops novel technologies for protein engineering, including custom gene library assembly platforms and droplet microfluidics systems. Romero mentors graduate students (e.g., Nishit, who recently defended a thesis on transcription factor engineering) and has collaborated with researchers across computational biology, metabolic engineering, and virology.

• Concrete Technology
• Durability of Materials
• Mechanical Behavior of Materials
• +3 more

Mouad JEBLI is an Associate Professor at CESI Engineering School in Aix-en-Provence, France, where he serves as a Teacher-researcher within the Engineering and Digital Tools research team. His academic focus centers on the chemomechanical behavior and durability of concrete materials, with particular expertise in interfacial transition zone (ITZ) characterization and degradation mechanisms. His educational background includes a Doctorate in Mechanics and Civil Engineering (2013-2016) from University of Montpellier/IMT Mines Alès, with research on local-scale mechanical properties of cement paste-aggregate interfaces, and a Specialized Master in Engineering and Project Management of Building and Public Works (2011-2012) from University of Montpellier 2 and Cadi Ayyad University, Morocco. Dr. JEBLI's research spans Concrete Technology, Durability of Materials, and Mechanical Behavior of Materials, emphasizing experimental characterization of chemomechanical degradation processes including leaching, internal sulfate attack, and interface mechanics. His work integrates multi-scale approaches from nanoindentation to structural testing, with significant contributions to cohesive zone modeling and composite repair techniques for concrete structures. Analysis of his 15 most recent publications (2018-2024) reveals consistent focus on experimental methodologies for concrete durability assessment, with strong emphasis on interface mechanics, degradation modeling, and sustainable repair solutions. Key thematic trends include the evolution of ITZ properties under chemical attack, development of predictive models for material interfaces, and application of natural fiber composites for structural rehabilitation. His scientific recognition includes: Best Poster Award at 36èmes Rencontres de l’AUGC (2018) Dr. JEBLI actively supervises graduate research, currently guiding PhD candidate MA TAZI (defending 2026) on composite patch repairs, and previously supervised PhD graduates S. NESRINE (2021) and A. Girboveanu (2020), along with multiple Master's students including Fabrice GBEWADE (2019) and Kim Quyen Nguyen (2016). His research is conducted through the Engineering and Digital Tools team, which develops advanced engineering methodologies for construction materials and structural systems.