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Till RequateView profile

Professor

• Environmental Economics
• Competition Policy
• Experimental Economics
• +3 more

Till Requate is Professor for Innovation, Competition and New Institutional Economics at Kiel University's Faculty of Business, Economics, and Social Sciences since 2002, following his professorship in Environmental Economics at Heidelberg University (1996-2002). He served as Associate Dean for Study Programs (2004-2010) and Dean of the Faculty (2016-2020), and currently co-edits the Berkeley Electronic Journal of Economic Analysis and Policy while serving on Germany's Commission of Experts for Research and Innovation since 2020. His academic background includes: Graduation in Mathematics and Philosophy from Bielefeld University (1985) Ph.D. in Economics with thesis on game theory and industrial organization (1989) Habilitation (1994) Requate's research centers on environmental economics, competition policy, and experimental economics, with significant contributions to climate policy design, emissions trading systems, and market mechanisms. His work bridges theoretical modeling and experimental validation, particularly examining institutional frameworks for environmental regulation and innovation. The experimental laboratory at Kiel University supports his empirical investigations into strategic behavior and policy effectiveness. His publication record (2014-2021) reveals strong interdisciplinary trends, connecting environmental economics with public health (pandemic response), energy systems (renewable integration), and behavioral insights (labor market reciprocity). Key thematic clusters include climate policy innovation (Flexcap mechanism, stranded assets), regulatory design (Montero mechanism), and market structure analysis (Cournot competition, emission permit markets), demonstrating consistent application of experimental methods to real-world policy challenges. Major recognitions include: von-Bennigsen-Foerder-Preis (1990) Eric-Kempe Prize from EAERE (2004) German Association of Health Economics Best Paper Award (2012) As former Editor-in-Chief of the Journal of Environmental Economics and Management (2013-2018) and current BEJEAP Co-Editor, Requate shapes scholarly discourse while applying expertise through consultancy for the World Bank, OECD, German Federal Ministry of Research, and Danish Ministry for Agriculture. His leadership extends to directing Kiel's Experimental Laboratory and influencing national climate policy through the EFI Commission. Requate maintains active research collaborations through Kiel University's Experimental Laboratory, focusing on behavioral responses to environmental regulations and market design experiments that inform real-world policy implementation across European and international contexts.

Amy G FroelichView profile

Associate Professor

• Statistics Education
• Psychometrics
• Educational Assessment
• +3 more

Amy G Froelich serves as Associate Professor and Director of Undergraduate Studies in the Department of Statistics at Iowa State University, where she has taught over 3,000 students since joining in 2000. Her academic leadership includes curriculum development for undergraduate statistics programs and oversight of degree requirements. Ph.D. in Statistics, University of Illinois, Urbana-Champaign (2000) B.S. in Secondary Mathematics Education, University of Illinois, Urbana-Champaign (1994) Dr. Froelich specializes in statistics education, psychometrics, and educational assessment with particular expertise in categorical data analysis and probability instruction. Her research develops innovative teaching methodologies for introductory statistics courses and focuses on training future secondary mathematics teachers through specialized curriculum design. She investigates how electronic assessments and resampling techniques enhance student learning outcomes in statistical reasoning. Her publication record (2008-2018) demonstrates consistent contributions to statistics pedagogy, emphasizing practical classroom applications, assessment design, and teacher preparation. Key themes include the development of engaging activities (e.g., M&M's weight analysis, iPod randomness testing), psychometric methods for educational measurement, and curriculum reforms for mathematics educators. Waller Education Award from the American Statistical Association (2010) Multiple teaching and advising awards at Iowa State University Dr. Froelich has secured significant research funding from the National Science Foundation, U.S. Department of Agriculture, and U.S. Department of Education to support her statistics education initiatives. As Director of Undergraduate Studies since 2018, she mentors students through curriculum development projects and advises on academic pathways in statistics. Her co-authorship of Business Statistics and Analytics in Practice (9th ed., 2019) extends her impact to textbook development.

• Electronic Structure Theory
• Machine Learning in Materials Science
• Data Driven Materials Science
• +6 more

Professor Patrick Rinke leads the Chair of AI-based Materials Science at the Technical University of Munich (TUM), within the TUM School of Natural Sciences and Department of Physics. His research group develops advanced electronic structure and machine learning methods to address critical challenges in materials science, surface science, physics, chemistry, and nanoscience. Professor Rinke's research spans multiple cutting-edge domains including electronic structure theory development, machine learning applications for materials science, data-driven materials discovery, biomaterials engineering, atmospheric science applications, clean energy materials, and hybrid materials systems. His work integrates advanced computational methods with practical applications across diverse scientific fields, particularly focusing on how artificial intelligence can transform traditional materials research. Analyzing his recent publications reveals strong trends in applying machine learning techniques to materials discovery, with particular emphasis on Bayesian optimization methods, active learning approaches for molecular data, and efficient dataset generation strategies. His research spans from fundamental electronic structure theory to practical applications in biomaterials, atmospheric science, and renewable energy technologies. Professor Rinke has received several prestigious awards including the August-Wilhelm Scheer visiting professorship (2017), a German Science Foundation research scholarship (2007), the Outstanding Postdoctoral Research Achievement Award from UC Santa Barbara (2009), recognition as an Outstanding Referee for Physical Review journals (2014), and the Institute of Physics Computational Physics Group Thesis Prize (2003). Professor Rinke actively contributes to the academic community through teaching and supervision. For the Winter term 2025/26, he is teaching courses including Academic Writing Skills, Introduction to Machine Learning for Materials Science, Current Topics in AI-Based Materials Science, and Machine Learning for Natural Sciences. His research group includes several team members working on diverse projects spanning the intersection of AI and materials science.

Adi NatanView profile

Researcher

• Ultrafast X-ray Imaging
• Quantum Dynamics
• Light-Matter Interaction
• +5 more

Dr. Adi Natan is a Staff Scientist at SLAC National Accelerator Laboratory and Principal Investigator at Stanford PULSE Institute, Stanford University. His research focuses on imaging ultrafast atomic motion and quantum dynamics in complex systems using X-ray free-electron lasers (LCLS) and advanced computational tools. Education: PhD in Physics, Weizmann Institute of Science M.Sc. in Biological Physics, Weizmann Institute B.Sc. in Physics, Hebrew University Dr. Natan’s work uncovers light-matter interactions at atomic scales, particularly in strong-field environments and transition metal catalysis . His team develops real-space inversion and super-resolution methods to bypass traditional diffraction limits, enabling spatiotemporal imaging of molecular processes like photodissociation , non-adiabatic transitions , and electron delays . Key findings include: Observing Fe(CO)₅ photodissociation dynamics and energy redistribution. Characterizing deformational isomers in bridged metal complexes using ultrafast X-ray solution scattering. Mapping sub-femtosecond molecular vibrations and attosecond electron motion . His methodologies integrate X-ray scattering , Legendre decomposition , and Fourier analysis to resolve quantum processes in real space , advancing applications in catalysis , quantum control , and ultrafast chemistry . Dr. Natan’s group at PULSE includes postdoctoral researchers , graduate students , and collaborators , focusing on experimental and computational protocols for emerging X-ray facilities like LCLS-II.

• Crystal structure determination
• Powder X-ray diffraction
• Solid-state NMR spectroscopy
• +6 more

Professor Kenneth Harris is a Distinguished Research Professor in the School of Chemistry at Cardiff University, specializing in the fundamental properties of solids and the development of advanced experimental techniques for materials characterization. His work bridges the gap between traditional crystallography and modern analytical methodologies, with a particular focus on overcoming limitations in structural analysis of complex materials. His research spans three primary interconnected themes: the development of techniques for determining crystal structures of organic solids directly from powder X-ray diffraction data; the advancement of in-situ solid-state NMR strategies for monitoring crystallization processes in real time; and the investigation of structural properties of anisotropic materials using polarized X-ray beam techniques, including the pioneering development of X-ray Birefringence Imaging (XBI). This work has significant implications for pharmaceutical development, materials science, and understanding biological crystallization processes. Analysis of his recent publications reveals a consistent trajectory toward increasingly sophisticated multi-technique approaches to materials characterization. His work increasingly integrates 3D electron diffraction, powder XRD, solid-state NMR, and computational methods like DFT calculations to solve previously intractable structural problems. A notable trend is the application of these methods to biologically relevant molecules (xanthine, riboflavin, L-tyrosine) and the development of techniques to monitor dynamic processes like crystallization and phase transitions in real time. His research demonstrates a shift from purely structural determination toward understanding the dynamic processes that govern material formation and transformation. Distinguished Research Professor title at Cardiff University Key contributor to the development of X-ray Birefringence Imaging Significant contributions to NMR crystallography methodologies Extensive publication record in top chemistry and materials science journals Professor Harris leads a research group focused on developing and applying cutting-edge techniques for materials characterization. His work has significant implications for pharmaceutical development, where understanding crystal structure and polymorphism is critical for drug efficacy and safety. His group has developed innovative approaches to monitor crystallization processes in real time, which has applications in both industrial manufacturing and understanding natural biomineralization processes. The group maintains strong collaborations with researchers across multiple disciplines, including physics, biology, and engineering, reflecting the interdisciplinary nature of modern materials science research.

Debabrota BasuView profile

Assistant Professor

• Machine Learning
• Reinforcement Learning
• Bandit Algorithms
• +6 more

Debabrota Basu is a tenured faculty member (Inria Starting Faculty Position - ISFP) at the Scool team (previously called SequeL) of Inria Centre at University of Lille in France. He teaches postgraduate-level courses on privacy, responsible machine learning, and research methods in AI at École normale supérieure-PSL University, Université de Lille, and Centrale Lille. He is also a member of the ELLIS Society (European Laboratory for Learning and Intelligent Systems) and the Paris unit of ELLIS. Dr. Basu earned his PhD in Computer Science from the Department of Computer Science, School of Computing, National University of Singapore, advised by Stéphane Bressan and Pierre Senellart. Prior to that, he obtained a B.E. degree with Honours in Electronics and Telecommunication Engineering from Jadavpur University. Before joining Inria, he was a postdoctoral researcher at Chalmers University of Technology's Data Science and AI Division. Dr. Basu's research focuses on constructing algorithms for developing efficient, robust, private, and ethical learning machines that solve real-world problems. His methodological approach blends statistics, machine learning, and optimization. His application interests span sustainable agro-ecology, medical and pharmaceutical applications, energy-efficient autonomous systems, and algorithmic audits. Recent collaborations include the Inria-Indian Statistical Institute associate team SeRAI for developing Sequential Testing and Learning Algorithms for Verifiably Robust and Responsible AI, and the Inria-INRAE collaboration on Resilient Agricultural Decision Making under Environmental Risks. His publication record demonstrates expertise in bandit algorithms, reinforcement learning, and privacy-preserving machine learning. Recent work shows a strong theoretical foundation with practical applications, particularly in pure exploration bandits, differential privacy mechanisms, constrained optimization, and fairness verification. His research bridges the gap between theoretical guarantees and real-world deployment challenges across multiple domains. Dr. Basu has received notable recognition for his contributions: Best Student Paper Award at ACM EAAMO 2022 for 'On Meritocracy in Optimal Set Selection' Young researcher (JCJC) grant from the French National Research Agency (ANR) in 2022 in 'Artificial Intelligence and Data Science' He leads the project 'RL under Real-life Constraints: Regrets and Algorithms' and supervises PhD students and postdoctoral researchers. His research is supported by multiple projects including REPUBLIC ('Vers l'IA responsable avec l'apprentissage par renforcement sous contraintes') and 'Foundations of robustness and reliability in artificial intelligence.' Dr. Basu actively collaborates with institutions worldwide, including establishing the RELIANT associate team with Kyoto University for investigating structured multi-armed bandit problems.

• Intelligent Control Systems
• Fault and Anomaly Detection
• Virtual and Robust Sensors
• +5 more

Dr. José Luis Calvo Rolle serves as a Professor in the Department of Industrial Engineering at the School of Engineering, Universidade da Coruña (UDC), specializing in Systems Engineering and Automation. His research focuses on intelligent control systems, fault detection, and virtual instrumentation within the Cybernetic Science and Technology Research Group. Teaches across multiple programs including Master's in Industrial Computing and Robotics, Textile Technology, and Occupational Risk Prevention Coordinates thesis supervision across Industrial Engineering and related disciplines His research spans intelligent control systems and optimization, with significant contributions in virtual sensors, fault detection, and AI-driven modeling for industrial applications. Current projects integrate machine learning with industrial processes for naval construction, wastewater treatment, and precision livestock farming, demonstrating cross-disciplinary impact from energy systems to agricultural technology. Recent publications reveal strong trends in applying deep learning to industrial metaverse frameworks, wastewater optimization, and livestock monitoring systems. His work bridges theoretical control engineering with practical implementations in energy management, naval manufacturing, and sustainable agriculture, frequently utilizing dimensionality reduction and one-class classification techniques. Dr. Calvo Rolle actively mentors students through thesis supervision across multiple engineering disciplines and coordinates research projects with diverse funding sources including the European Commission, Spanish National Research Agency, and industrial partners like Navantia and Telefónica. His laboratory work centers on the Cybernetic Science and Technology Research Group, developing testbeds for industrial automation, virtual instrumentation, and AI-driven monitoring systems. Current initiatives include digital twin implementations for naval manufacturing and smart energy management systems.

K. George ThomasView profile

Professor

• Nanomaterials
• Photochemistry
• Plasmonics
• +5 more

Prof. K. George Thomas is a distinguished Professor and J C Bose National Fellow at the School of Chemistry, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). He currently serves as the Dean of Faculty Affairs and has been instrumental in building IISER TVM since its inception in 2010, having previously served as the founding Dean of Academics and Faculty Affairs (2010-2015) and as Director (additional charge) in 2013-2014. His leadership extends internationally as President of the Asian and Oceanian Photochemistry Association. Prof. Thomas received his academic training at prestigious Indian institutions: B.Sc. (First Class) from Kerala University (1981) M.Sc. (First Class) from Savitribai Phule Pune University (1983) Ph.D. from University of Kerala (1990) Prof. Thomas's research focuses on light-matter interactions at the nanoscale, with particular emphasis on molecular systems, plasmonic nanostructures, and semiconductor quantum dots. His group employs advanced spectroscopic techniques including steady-state and time-resolved methods, as well as single-molecule and particle spectroscopy/microscopy. Key research thrusts include plasmon-exciton coupling, chiroptical properties of nanostructures, and the organization of molecules on 2D surfaces. His work bridges fundamental photophysics with practical applications in sensing and energy conversion. Analysis of his recent publications reveals a strong focus on quantum dot photophysics, particularly InP and perovskite nanocrystals as environmentally friendly alternatives to traditional materials. His group has made significant contributions to understanding chiral phenomena at the nanoscale and developing plasmon-enhanced spectroscopic techniques for practical sensing applications. Prof. Thomas has received numerous prestigious accolades recognizing his contributions to nanoscience and photochemistry: Shanti Swarup Bhatnagar Prize in Chemical Sciences (2006) J C Bose National Fellowship (2014-2019 and 2019-2024) Elected Fellow of Indian Academy of Sciences (2008) Elected Fellow of Indian National Science Academy (2015) Materials Research Society of India (MRSI) Medal (2005) Chemical Research Society of India (CRSI) Bronze Medal (2004) MRSI-ICSC Superconductivity & Materials Science Prize (2015) C. N. R. Rao Prize Lecture in Advanced Materials (2020) Prof. Thomas has supervised twenty doctoral students, all of whom now hold important positions in prestigious academic institutions worldwide. His research is generously supported by the Department of Science and Technology (DST) and Science and Engineering Research Board (SERB) through multiple research projects. He has served on numerous national scientific committees and advisory boards, including the editorial advisory committee of the Journal of Physical Chemistry of the American Chemical Society (2012-2015). His group has developed innovative technologies, including a surface-enhanced spectroscopy based device for rapid detection of pesticide residues. Leading the KGT Research Group at IISER TVM, Prof. Thomas oversees a vibrant research environment focused on cutting-edge nanoscience. The group collaborates extensively with theoretical scientists from IISER TVM, Argonne National Laboratory (USA), University of Parma (Italy), and Jawaharlal Nehru Centre for Advanced Scientific Research (India). Their laboratory is equipped with state-of-the-art facilities for nanomaterials synthesis and advanced optical characterization, supporting both fundamental research and translational applications in sensing and energy technologies.

Grzegorz GreczynskiView profile

Professor

• Materials Science
• Thin Film Physics
• Surface Science
• +3 more

Grzegorz Greczynski is a Professor and Head of the Unit of Fundamental Science of Thin Films at the Department of Physics, Chemistry and Biology (IFM) at Linköping University. A pioneer in high power impulse magnetron sputtering (HiPIMS) and X-ray Photoelectron Spectroscopy (XPS), he focuses on low-energy ion/surface interactions for nanostructure control during thin film growth, particularly for transition-metal-based nitrides, borides, and carbides. His work bridges industrial applications and academic innovation, with collaborations spanning the University of Illinois (USA) and Aachen University (Germany). PhD in Materials Physics (2001) from Linköping University MSc in Materials Physics (1997) from University of Science and Technology, Krakow, and Linköping University Research interests include: Development of non-destructive XPS analysis methods High-power impulse magnetron sputtering (HiPIMS) for thin film deposition Surface charging mitigation in insulating thin films Phase evolution in nitride and diboride thin films Mechanical properties of multilayer coatings Binding energy referencing in spectroscopy Scientific contributions highlight trends in: Advancements in XPS reliability and calibration Energy-efficient magnetron sputtering techniques High-entropy alloy thin films for extreme environments Space mission plasma probe technology Nanostructured coatings for oxidation resistance Surface analysis of catalytic materials Awards: Fellow of the American Vacuum Society (2018) Collaborations include researchers like Prof. Lars Hultman (LiU), Prof. Joe Greene (University of Illinois), and Prof. Jochen Schneider (Aachen University). His work impacts industries ranging from space exploration to biomedical coatings.

Nelly PanteView profile

Professor

• Cell Biology
• Developmental Biology
• Virology
• +5 more

Nelly Pante is a Professor in the Department of Zoology at the University of British Columbia, Faculty of Science. Her research focuses on nucleocytoplasmic transport, particularly the nuclear import of viral genomes and the molecular characterization of nuclear pore complexes (NPCs). Education: Ph.D. from Brandeis University; M.Sc. from The Venezuelan Institute for Scientific Research (IVIC); B.Sc. (Hons.) from Simon Bolivar University Research highlights include: Investigating bidirectional macromolecular transport through NPCs using cellular and molecular techniques, fluorescence, and electron microscopy Studying viral nuclear import of Influenza A, Hepatitis B, baculoviruses, and parvoviruses to develop antiviral strategies Developing the Xenopus oocyte model system for high-resolution nuclear transport studies Structural analysis of nucleoporins like Nup153 and Nup358/RanBP2 in NPC architecture Her lab employs advanced imaging methods and has contributed to understanding how viruses exploit nuclear transport mechanisms and how NPCs maintain cellular function in health and disease. Contact: pante@zoology.ubc.ca

• Music Composition
• New Opera
• Musical Theatricality
• +3 more

Dr Catherine Kontz is a London-based composer and professor at the Royal College of Music, specializing in nonlinear forms, visual/spatial elements, and musical theatricality in contemporary composition. She serves as a Doctoral Supervisor and is currently an artist-in-residence at King's College London's Engineering Department. Born 1976 BMus (Hons), MMus, PhD from Goldsmiths Her research spans: Audio technology applications in composition Multimedia operatic productions Site-specific sound installations Interdisciplinary collaboration strategies Cultural synthesis in musical theatre Temporal experimentation in performance Her work has been performed by prestigious ensembles and artists including Solistes Européens Luxembourg, BBC Scottish Symphony Orchestra, ensemble recherche, Exaudi, and Naomi Woo. Current projects include collaborative research with Professor Zoran Cvetkovic exploring audio technologies and human intelligence processes. Notable achievements: Shortlisted for Quattropole Music Prize Commissioned for European Capital of Culture program Doctoral research connecting Deleuzian theory with mime opera Regular Tête-à-Tête opera festival participant Director of multimedia opera productions Academic contributions include: Supervising doctoral composition students Developing interdisciplinary research projects Teaching contemporary composition techniques Creating large-scale collaborative works Advancing audio technology applications Mentoring emerging composers

Fernando A. EscobedoView profile

Professor

• Colloids and Interfacial Science
• Polymers and Soft Matter
• Statistical Mechanics and Molecular Simulation
• +3 more

Fernando A. Escobedo is a Professor in the Department of Chemical Engineering at Cornell University's College of Engineering, holding the Marjorie Hart Chair of Engineering since joining the faculty in 1998. His research pioneers computational methodologies for understanding entropy-driven self-assembly in complex soft matter systems, with applications spanning solar cells, battery electrodes, and advanced membranes. His educational background includes: B.S. in Chemical Engineering from Universidad de San Agustin, Peru (1986) M.S. in Chemical Engineering from University of Nebraska-Lincoln (1993) Ph.D. in Chemical Engineering from University of Wisconsin-Madison (1997) Professor Escobedo's work centers on molecular-level simulations of thermodynamic and kinetic properties, with particular emphasis on entropy's role in forming intermediate-ordered phases like liquid crystals and block copolymer mesophases. His group develops novel computational frameworks to establish structure-property relationships for nanoscale building blocks, enabling rational design of materials with tailored mechanical, optical, and transport properties. This research bridges statistical mechanics with practical engineering challenges in nanomaterials synthesis. Analysis of his 2023-2025 publications reveals three dominant trends: (1) machine learning integration for multiscale materials design, (2) entropy-controlled phase behavior in non-additive colloidal mixtures, and (3) molecular engineering of liquid crystalline oligomers for enhanced ion transport. Key advancements include heuristic rules for nanoparticle superlattice stability and diffusionless transition mechanisms in faceted colloids. His scientific recognition includes: Fellow, American Physical Society (2014) AIChE Computational Molecular Science & Engineering Impact Award (2012) Alfred P. Sloan Foundation Fellowship (2004) NSF CAREER Award (2001) Camille & Henry Dreyfus Foundation New Faculty Award (1999) College of Engineering Teaching Excellence Award (2003) Professor Escobedo has secured sustained funding through competitive grants including the NSF CAREER award and Sloan Fellowship, supporting his computational research group's high-impact publications in top journals. His mentorship focuses on training graduate students in advanced simulation techniques, with research outputs frequently appearing in Journal of Physical Chemistry and Macromolecules . While no dedicated lab name is specified, his work operates at the intersection of Cornell's Chemical Engineering department and nanomaterials research initiatives, emphasizing collaborative approaches to entropy-driven assembly problems.

Erik Henning ThiedeView profile

Assistant Professor

• Theoretical Chemistry
• Computational Chemistry
• Machine Learning in Chemistry
• +11 more

Erik Henning Thiede is an Assistant Professor of Chemistry at Cornell University, affiliated with the Department of Chemistry and Chemical Biology. He joined the faculty in Summer 2023 and leads the Thiede Lab, which focuses on understanding protein motion and function through computational tools that integrate machine learning, molecular simulation, and chemical physics. PhD in Chemistry from the University of Chicago (advised by Profs. Aaron Dinner and Jonathan Weare) Postdoctoral Research at Flatiron Institute CCM (collaborating with Prof. Risi Kondor, Dr. Pilar Cossio, and Dr. Sonya Hanson) The lab's research spans several key areas: Developing algorithms to extract free energies from cryo-EM data Creating permutation-equivariant machine learning models for chemical systems Improving error estimation in molecular simulation frameworks like MBAR Applying Wasserstein flows and probabilistic methods to cryo-EM analysis Expanding cryo-EM capabilities for disordered protein regions Integration of experimental data with computational simulations His lab's publications highlight trends in computational chemistry, including the application of graph neural networks, Bayesian inference, and advanced statistical methods to molecular dynamics. These works bridge chemical physics, machine learning, and structural biology. As an academic advisor, Thiede mentors a diverse group of graduate students and postdoctoral researchers. His lab actively collaborates with interdisciplinary teams across Cornell and other institutions, with current projects involving chemical engineering, applied mathematics, and biophysics. The Thiede Lab at Cornell is committed to open and inclusive science. Values include curiosity, openness to new ideas, mutual support in research, and active inclusion of diverse backgrounds. The lab occupies space at 214 Baker Lab and maintains a research website at thiedelab.github.io .

• Computational Physics
• Density Functional Theory (DFT)
• Atomistic Simulations
• +9 more

Jaakko Akola is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational materials science, particularly density functional theory (DFT) and atomistic simulations of materials, nanoparticles, molecules, and interfaces. He leads significant projects such as "SIDI" (inoculation in cast iron), "Infinity-RETIS" (chemical rare events), and "AllDesign" (rational alloy design), alongside coordinating EU-funded initiatives like "CritCat" for catalyst development. The Materials Theory group under Akola employs DFT, molecular mechanics, and Monte Carlo methods to explore atomic-scale structures and functions in technological applications. Key research areas include platinum-free catalysts for hydrogen energy, amorphous semiconductors for memory devices, noble metal nanoparticles in biological environments, and alloy design for cast iron and aluminum. Recent work integrates machine learning to advance theory-driven material design, reducing reliance on experimental trial-and-error. Akola's publications highlight advancements in hydrogen evolution catalysis, phase-change memory materials, and alloy precipitation. His projects often involve interdisciplinary collaborations with experimental teams. He teaches Quantum Physics 1 (FY2045) and Computational Physics (TFY4235) at NTNU, reflecting his commitment to education alongside research.

Emmanuelle Anne Boehm CourjaultView profile

Lecturer

• Materials Science
• Civil Engineering
• Concrete Technology
• +2 more

Emmanuelle Anne Boehm Courjault is a Lecturer and Scientific Collaborator at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Construction Materials Laboratory (LMC). She works within the SMX-ENS teaching unit and participates in intermediate bodies such as the STI Faculty Council and SCI-STI-JVH Group. Her research focuses on materials science, particularly concrete degradation mechanisms like Alkali-Silica Reactions (ASR). PhD Thesis Supervision Teaching in Materials Science and Construction Materials Her research investigates concrete deterioration through advanced microscopy techniques, including Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM), focusing on early-stage ASR products and their structural and chemical properties. Her work has demonstrated similarities between field and accelerated ASR product analyses, validating laboratory methods for studying concrete degradation. Research includes testing supplementary cementitious materials (fly ash, calcined clay) to mitigate ASR expansion. She is actively involved in teaching and academic governance at EPFL, contributing to the development of materials science education and research protocols.