Dr. Simon Beaumont is an Associate Professor in the Department of Chemistry at Durham University , with additional responsibilities as Associate Dean (PGR) in the Faculty of Science. His research program integrates heterogeneous catalysis , nanomaterials , and in situ spectroscopic techniques to develop sustainable chemical processes. BA & MSci Natural Sciences, University of Cambridge (2003-2007) PhD in Heterogeneous Catalysis, University of Cambridge (2010) Postdoctoral Fellowship at UC Berkeley (2010-2012) Research foci include mechanistic studies of catalytic processes, nanoparticle synthesis , and in situ characterization via X-ray absorption (NEXAFS), DRIFTS, and Raman. His work addresses challenges in CO2 hydrogenation , biomass conversion , and environmental remediation , supported by national/EU/industrial funding. Recent publications highlight trends in selective hydrogenation (furfural), multi-functional catalysts (acid-base systems), and nanoparticle stability under reactive conditions. All studies emphasize molecular-level understanding for practical catalyst design. Scientific awards include Leverhulme Trust and Addison Wheeler fellowships. Teaching portfolio spans first-year laboratories , organic chemistry tutorials , and advanced catalysis lectures . Supervision of five research postgraduates and leadership of industry-funded projects further demonstrate his academic impact.
Prof. Dr.-Ing. Rüdiger Daub serves as Professor and Chair of Production Engineering and Energy Storage Systems at the Technical University of Munich (TUM), operating within the Department of Mechanical Engineering. His leadership encompasses research direction, academic supervision, and strategic development of battery production technologies at TUM's Garching campus (Boltzmannstr. 15), with active industry collaborations driving innovation in sustainable manufacturing. Daub's research program pioneers advanced production methodologies for lithium-ion and solid-state batteries, focusing on electrode manufacturing, electrolyte filling, and cell assembly processes. His work investigates critical parameter interdependencies affecting battery safety and performance, developing inline monitoring systems and digital twin technologies for real-time process optimization. Key contributions include moisture control in electrode production, electrochemo-mechanical characterization of solid-state systems, and robotics solutions for deformable object assembly, all integrated with machine learning for quality assurance in industrial settings. Analysis of his 2023-2025 publications reveals a dominant research trajectory toward solving production bottlenecks in next-generation energy storage. The work demonstrates increasing integration of computational modeling with empirical validation, particularly in solid-state battery manufacturing and high-voltage electrolyte systems. A notable trend is the cross-pollination of robotics, computer vision, and uncertainty quantification techniques to address complex assembly challenges and distribution shifts in quality monitoring, reflecting industry's urgent need for adaptable, data-driven production systems. Leading TUM's specialized laboratories for battery cell production, Daub's team maintains comprehensive facilities for electrode calendering, electrolyte filling, and cell assembly with integrated tracking and tracing capabilities. The research infrastructure supports collaborative projects with automotive OEMs and battery manufacturers to develop scalable production processes, emphasizing environmental sustainability through water-based electrode production and footprint optimization. Current initiatives focus on digital factory modeling and prelithiation technologies for next-generation battery systems.
Alexei Kitaev is the Ronald and Maxine Linde Professor of Theoretical Physics and Mathematics at the California Institute of Technology (Caltech). His research focuses on quantum computation, topological quantum phases, anyons, topological insulators and superconductors, and the black hole information paradox. He has pioneered the concept of topological quantum computation, where quantum information is protected through topological properties of many-body systems. His recent publications explore quantum error correction, scrambling dynamics, and holographic principles in SYK-like models, reflecting his interdisciplinary impact on quantum physics, computer science, and condensed matter. His work on the Sachdev-Ye-Kitaev model has advanced understanding of quantum chaos and gravitational phenomena. Kitaev has received numerous accolades, including the MacArthur Award (2008), Breakthrough Prize in Fundamental Physics (2012), Dirac Medal (2015), and Oliver Buckley Condensed Matter Prize (2017). He has taught advanced courses such as 'Quantum Computation' and 'Advanced Condensed-Matter Physics' at Caltech. Scientific Awards: MacArthur Award (2008) Breakthrough Prize in Fundamental Physics (2012) Dirac Medal (2015) Oliver Buckley Condensed Matter Prize (2017)
Richard D. Noble is a Research Professor in the Department of Chemistry at the University of Colorado Boulder. His research focuses on advanced membrane technologies for gas and liquid separations, with particular expertise in ionic liquids, liquid crystals, and the application of external fields for selective separations. He maintains an active laboratory in Cristol Chemistry (room 357) and collaborates extensively with Professor Doug Gin on many research projects. Noble received his BE and ME from Stevens Institute of Technology in 1968 and 1969 respectively, followed by a Ph.D. from the University of California, Davis in 1976. His educational background in engineering has provided a strong foundation for his research in chemical engineering and materials science. Professor Noble's research program centers on three interconnected areas. His primary focus is on ionic liquids for gas separations , where he evaluates various ionic liquids and complexation chemistry to tailor material properties to specific feed mixtures. He explores composite polymer/IL structures and incorporation of complexation chemistry and zeolites, and has developed specialized apparatus to measure gas solubility and diffusivity in ionic liquids. This work is conducted in collaboration with Professor Doug Gin. His second research thrust involves the use of external fields for selective separations . Noble studies how electric or light energy can enhance separation processes by changing binding affinity of complexing agents. His notable achievement is an electrochemical pump with no moving parts that produces pressures exceeding 20 atm, with applications in lab-on-a-chip and micro-scale devices. He also develops charged polymer structures for membrane separators with wide temperature and chemical stability. His third major area focuses on liquid crystals organized to form nanostructured polymer network films. These cross-linked stable films are evaluated for nanofiltration applications, particularly in water filtration including treatment of water from fracking operations. This work often intersects with his ionic liquids research, creating composite structures with potential applications in electrochemical pumps. Noble's publication record from 2017-2019 shows consistent focus on membrane technologies for separation processes, with increasing sophistication in membrane design incorporating ionic liquids, liquid crystals, and novel materials like pillar[5]arenes. His work demonstrates a clear trend toward addressing practical industrial challenges, particularly in natural gas purification (CO 2 /CH 4 separation) and environmental applications (treatment of fracking wastewater). His collaborations have produced high-impact work published in top journals including Nature Materials , Journal of Membrane Science , and Angewandte Chemie . Professor Noble has received numerous prestigious awards recognizing his contributions: AIChE Institute Service to Society Award (2005) Alfred T. and Betty E. Look Professor of Chemical Engineering (2005-present) Multiple Outstanding Graduate Teaching Awards from the Chemical Engineering Department (2006-2008) ACS Industrial & Engineering Chemistry Division Fellow (2007) CU Boulder Inventor of the Year (2008) Barrer Lecture at Penn State University (2008) Fellow at the Renewable and Sustainable Energy Institute (2009-2012) Robert L. Stearns Award from CU Alumni Association (2010) Chair d'Excellence Pierre de Fermat at Paul Sabatier University, Toulouse (2010) AIChE Institute Excellence in Industrial Gas Technology Award (2010) And numerous others through 2015 While specific grant details aren't provided, Noble's extensive publication record with multiple co-authors suggests active research mentoring and well-funded projects. His work on sophisticated apparatus and high-quality publications indicates substantial research support. His collaborations, especially with Doug Gin, suggest a strong research group environment focused on membrane science and separation technologies. Professor Noble's research operates at the intersection of chemistry, chemical engineering, and materials science. His laboratory includes facilities for membrane fabrication, gas separation testing, and characterization of novel materials. The development of specialized apparatus for measuring gas properties in ionic liquids suggests dedicated equipment for fundamental property measurements. His work on electrochemical pumps indicates capabilities in microfluidics and device fabrication, with the collaborative nature of his research suggesting a team approach to tackling complex separation challenges.
Prof. Dr. Frank Pollmann is a Full Professor (W3) at the Department of Physics PH-I, Technical University of Munich (TUM), leading the Chair of Theoretical Solid-State Physics since 2022. His research focuses on condensed matter theory and quantum information concepts , particularly in systems of correlated electrons and quantum many-body dynamics . PhD: Max Planck Institute for the Physics of Complex Systems / TU Ilmenau (2006) Postdoc: UC Berkeley (2008-2010) Group Leader: MPIPKS Dresden (2011-2016) Associate Professor: TUM (2017-2022) His work spans topological phases , frustrated spin systems , and non-equilibrium quantum dynamics , utilizing tensor network methods and quantum information theory to study phenomena like many-body localization and Hilbert space fragmentation . His publications demonstrate trends in quantum scar states , Kardar-Parisi-Zhang hydrodynamics , and quantum transport anomalies . Scientific Awards : ERC Consolidator Grant (2017) Walter Schottky Prize (2015) Otto-Hahn Medal (2007) He teaches courses including Advanced Methods in Quantum Many-Body Theory , Solid State Theory , and Topology in Condensed Matter , while leading the Pollmann Group under the TUM School of Natural Sciences.
Dr. Adriana Bocchini is a Researcher at the University of Paderborn , affiliated with the Theoretical Materials Physics department and the Quantum Materials Modelling group. Her work focuses on computational modeling of materials, particularly crystal defects, surface adsorption, and electrochemical properties using advanced theoretical methods. Research Interests: Adriana's research spans Theoretical Materials Physics and Quantum Materials Modelling , with a focus on Defect modeling in ferroelectric materials Surface adsorption mechanisms Electronic structure calculations First-principles simulations Recent Publications: She has contributed to studies on radiation-induced defects in KTiOPO 4 , Mg doping effects in lithium niobate, phosphonic acid interactions with bismuth oxide, and electrochemical properties of doped RTP crystals, all leveraging computational approaches like Density Functional Theory (DFT). Labs & Teams: Adriana is actively involved in the Theoretical Materials Physics and Quantum Materials Modelling groups at the University of Paderborn, advancing computational studies in materials science.
Prof. dr. Steven Hoekstra is an Associate Professor of Atomic and Molecular Physics at the University of Groningen's Faculty of Science and Engineering, within the Van Swinderen Institute. His research focuses on precision measurements using cold molecules to explore fundamental physics, including Stark deceleration, laser cooling, and searches for physics beyond the Standard Model. He leads the NL-eEDM program at Nikhef, investigating the electron's electric dipole moment. Hoekstra is also involved in educational innovation, having received the Teacher of the Year award (2020) and a Senior Teacher Qualification (2023). He has supervised over 11 PhD theses and currently mentors 5 students. His work combines experimental techniques with theoretical insights, addressing questions like symmetry violations and quantum dynamics. Key projects include manipulating BaF molecules with electrostatic fields and exploring levitated nanoparticles as sensors. Hoekstra has secured major grants, including NWO VICI (2022) and VIDI (2013), and collaborates internationally on projects like the European Strategy for particle physics. Recent articles highlight advancements in molecular beam control, spin-precession methods for EDM searches, and opportunities in radioactive molecules. He actively participates in the Physics Olympiad Netherlands as chair, contributing to science outreach and education.
Umut Aydemir is an Associate Professor at the Department of Chemistry, Koç University , where he also serves as Director of KUBAM (Koç University Boron Application and Research Center) . His research focuses on Boron-Based High-Tech Materials, 2D Materials, Electrocatalysis, Thermoelectric Energy Harvesting , and Hydrogen Storage . PhD in Chemistry (2012), Dresden University of Technology MSc in Materials Science and Engineering (2006), Koç University BSc in Chemistry and Physics (2004), Koç University Umut’s work addresses structure-property relationships in advanced materials, with a particular emphasis on boron-containing compounds , MXenes , and thermoelectric systems . His recent publications highlight innovations in electrocatalytic water splitting , hydrogen storage materials , and sustainable coating technologies . His research trends include: Development of metal diborides for water splitting Engineering MXene/polymer composites for corrosion resistance Novel approaches to thermoelectric materials like MgAgSb and Zintl phases Designing hydrogenated borophene for environmental applications Awarded the 2024 Koç University College of Science Outstanding Faculty Award and 2019 TÜBA Young Scientist Award , Umut leads high-impact projects in materials science. He advises graduate students in Nanocatalysis and Advanced Material Synthesis and contributes to interdisciplinary initiatives at KUBAM.
Ronaldo I. Borja is a Professor in the Department of Civil and Environmental Engineering at Stanford University's School of Engineering. His academic career spans decades of research and teaching in theoretical and computational solid mechanics, geomechanics, and geosciences. He teaches undergraduate, graduate, and doctoral level courses including Geotechnical Engineering (CEE 101C), Mechanics and Finite Elements (CEE 281), Computational Poromechanics (CEE 314), and Plasticity Modeling and Computation (CEE 315). Professor Borja's research focuses on theoretical and computational solid mechanics, with particular emphasis on geomechanics and geosciences. His work includes the development of multi-scale discontinuity frameworks for crack and fracture propagation utilizing strong discontinuity and extended finite element methods; solution techniques for multi-physical processes such as coupled solid deformation-fluid diffusion in saturated and unsaturated porous media; stabilized finite element methods for solid/fluid interaction and nonlinear contact mechanics; and nanometer-scale characterization of the inelastic deformation and fracture properties of shales. His research spans multiple projects including shale characterization, poromechanics, and large deformation inelasticity. His recent publications demonstrate expertise across computational mechanics, geomechanics, and materials science, with a focus on finite element methods, constitutive modeling, and multi-scale analysis. His work bridges theoretical developments with practical applications in geotechnical engineering and earth sciences. 2016 ASCE Maurice A. Biot Medal for work in computational poromechanics Professor Borja serves as editor of two leading journals in his field: the International Journal for Numerical and Analytical Methods in Geomechanics and Acta Geotechnica. He has also authored the textbook 'Plasticity Modeling and Computation' published by Springer. His research is supported by multiple projects examining shale mechanics, poromechanics in unsaturated porous media, and large deformation inelasticity in crystalline materials.
Qian Yang is an Assistant Professor in Information Science at Cornell University, with a faculty appointment in Computer Science. Her research focuses on human-AI interaction, designing AI applications for healthcare, autonomous systems, and UX design. She holds a PhD in Human-Computer Interaction from Carnegie Mellon University and has industry experience in design consultancy (2007–2014). Yang co-directs the Cornell Digital and AI Literacy Initiative and is a Senior Fellow at the Cornell Brooks Tech Policy Institute. Her work emphasizes bridging AI technologies with societal needs, supported by awards like the Schmidt Futures AI2050 Fellowship. She leads the DesignAI research group, focusing on AI-driven design methods and tools for practitioners. Education: PhD in HCI (Carnegie Mellon), M.S. in HCI (CMU), M.Des in Design, B.Eng in Industrial Design (Shanghai Jiao Tong University). Research interests include AI ethics, healthcare decision support systems, and context-aware mobile services. Notable contributions include: Developing AI systems for life-critical healthcare decisions (e.g., artificial heart implants) Innovating UX design methods for integrating AI into practice Advancing human-centered AI evaluation frameworks Awards include the SIGCHI Outstanding Dissertation Award and AI2050 Fellowship. She actively collaborates across disciplines, with work published in top HCI venues like CHI and ACM Transactions.
Naresh N. Thadhani is a Professor and Chair of Materials Science and Engineering at Georgia Tech, with an adjunct role in the Woodruff School of Mechanical Engineering. His research focuses on shock-induced material changes, high-strain-rate mechanics, and dynamic compaction of powders. He leads a lab equipped with advanced facilities like gas guns and laser-accelerated systems for studying impacts up to 1200 m/s. Education: Ph.D., New Mexico Institute of Mining and Technology (1984); M.S., South Dakota School of Mines and Technology (1981); B.E., University of Rajasthan, India (1980). Research interests include shock compression of metals/ceramics, phase transformations in metallic glasses, and structural energetic materials. His work combines experimental diagnostics (e.g., VISAR, photonic Doppler velocimetry) with computational modeling (CTH/ALE3D codes). Key awards: APS Fellow (2007), ASM International Fellow (2000). Editorial roles include Associate Editor of Shock Waves and Key Reader for Metallurgical and Materials Transactions . Lab & Group: A team of 1 postdoctoral fellow, 11 PhD students, and 3 undergraduates. Over 30 graduates to date. Active in advisory roles for national/international conferences and industrial consultancies. Future work emphasizes nanocomposite magnets and meso-scale modeling of heterogeneous materials under shock.
Associate Professor Quek Su Ying is affiliated with the Department of Physics at the National University of Singapore (NUS) and serves as Assistant Dean (Special Duties). Her research focuses on theoretical and computational approaches to understanding the electronic, vibrational, and transport properties of emerging materials, particularly 2D and organic systems. Affiliations : Institute of High Performance Computing, Centre for Advanced 2D Materials, NUS Research Interests : First principles calculations (mean field and many-electron perturbation theory), interface science, electronic energy level alignment, and transport in emerging materials. Her work includes studies of exciton condensation, quantum emitters, and valleytronic control via magnetic fields. Article Trends : Recent publications highlight investigations into 2D materials, organic-inorganic interfaces, and quantum phenomena. Topics include exciton dynamics, defect engineering, charge density waves, and spin-dependent transport, employing advanced ab initio methods like GW theory. Scientific Awards : Singapore NRF Fellowship Advising & Collaborations : Her group develops state-of-the-art computational methods and collaborates with experimental teams. Notable affiliations include Google Scholar Profile and partnerships with institutions like the Institute of High Performance Computing. Labs & Teams : Associated with the Centre for Advanced 2D Materials at NUS, which supports interdisciplinary research on graphene and related 2D systems. Her work bridges theoretical modeling and experimental validation.
Prof. Baker Mohammad serves as Professor and Director of the System on Chip Lab in the Department of Computer and Information Engineering at Khalifa University. With over 15 years of industrial experience at Intel and Qualcomm designing microprocessors and DSP chips, he bridges academic research with real-world engineering challenges in high-performance computing and low-power systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Texas at Austin (2008) M.S. in Electrical and Computer Engineering, Arizona State University B.S. in Electrical Engineering, University of New Mexico Dr. Mohammad's research spans cutting-edge domains where VLSI design converges with AI acceleration and emerging memory technologies . His work pioneers Memristor applications in environmental sensing (radiation, vacuum, glucose) and neuromorphic computing, while advancing energy harvesting systems for wearable electronics. The integration of in-memory computing with security primitives represents a paradigm shift in hardware design, moving beyond traditional CMOS limitations. His publication trajectory reveals accelerating focus on self-powered neuromorphic systems and RRAM-based architectures, with recent work (2021-2023) emphasizing hardware-software co-design for edge AI. Over 75% of his recent publications involve cross-disciplinary collaborations spanning materials science, chemistry, and biomedical engineering. Notable scientific recognition includes: IEEE TVLSI Best Paper Award 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award Qualcomm Qstar Award for Performance Leadership KUSTAR IP Excellence Award Multiple SRC Techon Best Session Papers As a dedicated mentor, he has supervised over 15 graduate students while securing competitive funding from Khalifa University, ADEK, Qualcomm, Tii, and UAE space agencies. His grant portfolio demonstrates exceptional translational impact, converting fundamental research in memristive devices into drone flight computers and medical sensors. Current projects integrate academic rigor with industrial deployment timelines. The System on Chip Lab operates as a multidisciplinary hub where semiconductor physicists collaborate with AI researchers to develop RISC-V-based secure processors and piezoelectric nanogenerator systems. Recent expansions include partnerships with Tii for aerospace applications and medical device startups for glucose monitoring technology.
Prof. Dr. Markus Zimmermann leads the Chair of Product Development and Lightweight Design at the Technical University of Munich (TUM). With a background in mechanical engineering from TU Berlin and the University of Michigan, and a doctorate from MIT on solid-state singularities, he bridges academic rigor with industrial application. His career spans 12 years at BMW focusing on vehicle development before transitioning to academia. Specializes in solution space engineering for robust design Expert in additive manufacturing and systems engineering Develops methodologies for managing design complexity and uncertainty His research focuses on multidisciplinary design optimization and lightweight structures , particularly in robotics and automotive systems . His team applies digital twin frameworks and attribute dependency graphs to enhance design processes. Recent publications emphasize topology optimization in robotic systems and thermal management for medical X-ray sources. Key trends in his 2024-2025 publications include: Topological optimization for additive manufacturing and robotics Application of solution spaces to manage design uncertainty Development of compact X-ray systems for medical therapy Integration of digital twin technologies in industrial contexts
Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.
