جستجوی استاد راهنمای دانشگاهی

Brian Lawrenceمشاهده پروفایل

استادیار

• Arithmetic Geometry
• Number Theory
• Diophantine Geometry
• +۲ مورد دیگر

Brian Lawrence is an Assistant Professor in the Department of Mathematics at the University of Wisconsin–Madison, currently on leave as of 2025. Previously, he held positions at UCLA, the University of Chicago, and Columbia University, following doctoral studies at Stanford University under Akshay Venkatesh. His educational background includes: PhD in Mathematics from Stanford University (advisor: Akshay Venkatesh) Lawrence's research centers on arithmetic geometry, specializing in Diophantine problems through p-adic methods. His work develops innovative approaches to Mordell's conjecture, Shafarevich-type results, and rational point distribution using p-adic Hodge theory, étale cohomology, and period mappings. He bridges theoretical number theory with computational frameworks, particularly in algorithmic solutions for Diophantine equations. His publication trends reveal sustained focus on foundational Diophantine geometry problems, with recent work emphasizing conditional algorithms for the Mordell problem and sparsity phenomena in integral points. Collaborations with leading mathematicians like Venkatesh and Sawin demonstrate interdisciplinary engagement across number theory and algebraic geometry. Lawrence actively mentors undergraduate researchers, supervising projects on resultants, Hodge theory, and symmetric polynomials by students including Pramana Saldin, Yuchen Chen, Anuj Sakarda, and Spencer Dembner. His organizational roles include founding the Crystalline Cohomology seminar at Columbia and co-organizing the University of Chicago Number Theory Seminar, fostering collaborative research environments. He contributes extensively through expository notes on schemes, polynomials on lattices, and Fibonacci numbers modulo p, reflecting commitment to mathematical education and knowledge dissemination across multiple institutions.

• Quantum-safe cryptography
• Lattice-Based Cryptography
• Post-Quantum Cryptography
• +۴ مورد دیگر

Ron Steinfeld is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University, Australia. He holds editorial roles in Designs Codes and Cryptography (since 2017) and has served on technical committees for top-tier conferences like ASIACRYPT, CRYPTO, and EUROCRYPT. His research focuses on quantum-safe cryptography, lattice-based cryptography, and blockchain security, with over 80 refereed publications and AUD$4M+ in research funding. Education: BSc Mathematics and Physics (Monash University, 1998) BE (Hons., First Class) Electrical and Computer Systems (Monash University, 2000) PhD Computer Science (Monash University, 2003) Research Interests: Design and analysis of cryptographic algorithms, quantum-safe protocols, lattice-based security foundations, and blockchain applications. His work underpins NIST standard algorithms like Kyber and Dilithium through structured lattice problem research. Recent Articles Trends: Focus on privacy-preserving blockchain protocols, post-quantum signature schemes, encrypted data search, and cryptographic applications in adversarial AI. Recent work includes fair Bitcoin watchtower schemes and genomic database privacy solutions. Awards: ASIACRYPT 2015 Best Paper Award Advising & Grants: Supervises PhD projects on quantum-safe cryptography and blockchain security. Leads initiatives like the AUD$4M ARC-funded Quantum Information Technology project. Collaborates with industry partners including CSIRO/Data61. Labs/Teams: Key contributor to Monash’s cybersecurity and cryptography research groups, involving interdisciplinary projects on materials discovery ( Æinstein initiative) and post-quantum blockchain security.

Brian Conradمشاهده پروفایل

استاد

• Number Theory
• Arithmetic Geometry
• Algebraic Geometry
• +۳ مورد دیگر

Brian Conrad is a Professor of Mathematics at Stanford University, specializing in number theory and arithmetic geometry. He holds a position in the Department of Mathematics and has contributed extensively to algebraic geometry, algebraic number theory, and representation theory. His research encompasses foundational work on reductive groups, pseudo-reductive groups, and their applications in arithmetic contexts. Dr. Conrad is an editor for the Journal of the AMS, Algebra and Number Theory, and IMRN. He has organized numerous learning seminars, including those on étale cohomology and the BSD conjecture, and has taught advanced courses on algebraic geometry, class field theory, and modular forms. His work bridges classical algebraic geometry with modern arithmetic applications, emphasizing foundational proofs and geometric intuition. His editorial roles and seminar leadership reflect his commitment to advancing mathematical exposition and education. Education details are not explicitly provided in the texts, but his academic trajectory includes significant contributions to the field through publications and mentorship. Dr. Conrad's research has led to advancements in areas such as the classification of algebraic groups, étale cohomology, and the arithmetic of elliptic curves. His collaborative work with mathematicians like Chai, Oort, and Prasad has produced influential monographs, including Pseudo-reductive Groups and Complex Multiplication and Lifting Problems .

Guido Kingsمشاهده پروفایل

استاد

• Special Values of L-functions
• Tamagawa Number Conjecture
• Polylogarithms
• +۳ مورد دیگر

Prof. Dr. Guido Kings is a Professor of Pure Mathematics at the Faculty of Mathematics, University of Regensburg. His research focuses on Special Values of L-functions , Tamagawa Number Conjecture , and Polylogarithms , with significant contributions to Iwasawa Theory and Arithmetic Geometry . He has held leadership roles in research projects such as the CRC Higher Invariants. Prof. Kings has authored influential papers on topics like Eisenstein-Kronecker classes , p-adic interpolation , and regulators in arithmetic geometry . He received the Frontier of Science Award in recognition of his work. His team includes doctoral students and postdoctoral researchers, such as Bernadette Melichar and Julio de Mello Bezerra. Current Affiliations: Faculty of Mathematics, University of Regensburg Recent Courses Taught: Analysis II, Advanced Seminar in Arithmetic Geometry, and Modular Forms Research Group: Comprises scientific staff (e.g., Han-Ung Kufner) and doctoral students working on number theory and algebraic geometry. His publications are widely cited in Annals of Mathematics , Duke Mathematical Journal , and Inventiones Mathematicae , reflecting his expertise in connecting motivic cohomology with p-adic analysis.

• Machine Learning
• Deep Learning
• Foundation Models
• +۱۱ مورد دیگر

Bo Han is an Associate Professor in the Department of Computer Science at Hong Kong Baptist University's Faculty of Science, where he leads the Trustworthy Machine Learning and Reasoning (TMLR) Group. He also holds a visiting scientist position at the RIKEN Center for Advanced Intelligence Project (RIKEN AIP) in Japan. His research focuses on developing trustworthy and efficient machine learning systems, particularly under imperfect data conditions such as noisy labels, out-of-distribution data, and weak supervision. Bo Han's research interests span Machine Learning , Deep Learning , Foundation Models , Causal Representation Learning , Weakly and Self-supervised Learning , Robustness and Security in Machine Learning , Federated Learning , and AI for Science . His work aims to build intelligent systems that can reliably learn and reason from complex, imperfect real-world data. His recent publications reveal a strong trend toward trustworthy foundation models , robust reasoning with large language models , out-of-distribution detection , privacy-preserving learning , and causal robustness . His research integrates theoretical foundations with practical applications, often published in top-tier venues like NeurIPS, ICML, ICLR, and TPAMI. Notable Awards and Honors: Outstanding Paper Award, NeurIPS Most Influential Paper, NeurIPS IEEE AI's 10 to Watch Award IJCAI Early Career Spotlight INNS Aharon Katzir Young Investigator Award Dean's Award for Outstanding Achievement RGC Early CAREER Scheme Bo Han has been actively involved in the academic community, serving as a Senior Area Chair and Area Chair for NeurIPS, ICML, and ICLR, and as an Associate Editor for IEEE TPAMI, MLJ, and JAIR. He has advised numerous PhD and research students and leads a globally distributed research group. His work is supported by major grants from RGC, NSFC, GDST, RIKEN, and industry partners including Microsoft, Alibaba, Tencent, and Baidu. He also leads research initiatives in Trustworthy Machine Learning , including projects on federated learning, model unlearning, privacy-preserving AI, and robust foundation models, often in collaboration with industry and international institutions.

Markus Landمشاهده پروفایل

دانشگاهی

• Algebraic Topology
• Homotopy Theory
• K-Theory
• +۳ مورد دیگر

Markus Land is a Tenure Track Professor at the Department for Mathematics, Ludwig Maximilian University of Munich, affiliated with the Algebraic Geometry Working Group. His research bridges algebraic topology, homotopy theory, and K-theory, focusing on their interplay with L-theory and manifold topology. He has held postdoctoral positions at the University of Copenhagen (supported by an EU Marie Curie Fellowship and DFG Grant) and the University of Regensburg, and earned his PhD at the University of Bonn under Wolfgang Lück. Education : PhD in Mathematics (University of Bonn, 2016) Positions : Postdoctoral (University of Copenhagen, 2019–2022; University of Regensburg, 2016–2019) Research Interests : Markus Land explores algebraic topology and homotopy theory , particularly algebraic K-theory , hermitian K-theory , and their connections to L-theory and manifold topology . His work often applies infinity-categories to foundational problems in operator K-theory and geometric topology. Recent Publications : His research includes groundbreaking studies on chromatic localization in K-theory, Grothendieck-Witt groups in ring theory, and additivity in cobordism categories . Collaborations with leading mathematicians like Georg Tamme and Ulrich Bunke highlight interdisciplinary approaches to algebraic and geometric problems. Awards & Grants : EU Marie Curie Individual Fellowship (2020–2022) DFG Individual Research Grant (2019–2020) Teaching & Academic Leadership : He has designed advanced courses including Topology I–V , Algebraic K-Theory , and Condensed Mathematics , emphasizing homotopy theory and infinity-categories . Future initiatives include student seminars on arithmetic and algebraic geometry to foster academic collaboration. Working Group : As part of the Algebraic Geometry Working Group at LMU Munich, he contributes to seminars and research projects on arithmetic geometry , manifold classification , and spectral algebra .

Yvain Brunedمشاهده پروفایل

استاد

• Singular Stochastic Partial Differential Equations
• Regularity Structures
• Renormalisation Theory
• +۵ مورد دیگر

Yvain Bruned is a Professor of Mathematics at Université de Lorraine, Nancy, France, where he leads research in singular stochastic partial differential equations and related fields. He serves as Principal Investigator for the ERC Starting Grant LoRDeT (2023-2028), which focuses on advancing the theory of decorated trees and Hopf algebraic structures for solving singular SPDEs and dispersive PDEs at low regularity. Previously, he was a Lecturer at the University of Edinburgh (2019-2022) and completed postdoctoral work at Imperial College London and University of Warwick under Martin Hairer. His educational background includes: PhD in Mathematics (2012-2015), UPMC (Paris 6), on "Singular KPZ type equations" under Lorenzo Zambotti Master 2 in Probability and Statistics, ENS Cachan / Rennes 1, with honors Master 1 in Mathematics, ENS Cachan, with honors Bachelor in Mathematics and Computer Science, University of Rennes 1, with honors Student at ENS Cachan Brittany extension (2009-2013) Classes Préparatoires in Mathematics and Physics (2007-2009) Bruned's research centers on singular stochastic partial differential equations, with particular focus on Regularity Structures, renormalization theory, and their connections to Hopf algebras. His work bridges theoretical mathematics with applications in quantum field theory, wave turbulence, and numerical analysis. He has developed novel approaches using decorated trees to handle renormalization procedures for singular SPDEs and has extended these methods to dispersive PDEs with random initial data. His research program aims to establish existence and uniqueness results for quasilinear and dispersive SPDEs while developing algebraic tools through deformations of Hopf algebras. His extensive publication record demonstrates consistent contributions to the field of singular SPDEs, with a clear trajectory from foundational work on Regularity Structures to more recent applications in dispersive PDEs and numerical methods. The publications reveal a strong collaborative network with leading researchers in stochastic analysis, mathematical physics, and algebra. His work shows increasing sophistication in handling renormalization procedures through algebraic structures, with recent papers exploring connections between different mathematical frameworks. His major scientific recognition includes: ERC Starting Grant LoRDeT (2023-2028) Bruned actively supervises a large group of researchers, currently advising 4 PhD students and 2 postdoctoral researchers at Université de Lorraine, with several former PhD students having completed their degrees at the University of Edinburgh. His ERC grant has enabled him to organize multiple international workshops in Nancy, fostering collaboration between researchers in singular SPDEs, algebraic structures, and numerical analysis. The grant also supports the development of software platforms for decorated trees and their Hopf algebraic structures. As Principal Investigator of the ERC LoRDeT project, Bruned leads a vibrant research team based at the Elie Cartan Institute of Lorraine, which includes postdocs, PhD students, and visiting researchers. The team regularly organizes specialized workshops on topics including operads, symmetries for quantum field theory, and normal forms for singular dynamics, creating a dynamic research environment that bridges multiple mathematical disciplines.

David Thomasمشاهده پروفایل

استاد

• Event-driven Computing
• FPGAs
• Digital Architectures
• +۳ مورد دیگر

Professor David Thomas holds the position of Professor in Computer Engineering at the University of Southampton's Electronics and Computer Science Department. His research focuses on the intersection of software and hardware, particularly leveraging FPGAs for novel digital architectures and event-driven computing. He has a notable academic trajectory, having previously served as a Lecturer and Senior Lecturer at Imperial College London before joining Southampton in 2021. Dr. Thomas is actively involved in supervising PhD students and contributes to interdisciplinary research projects funded by the EPSRC, such as the SONNETS initiative exploring scalable event-triggered systems. Education: BSc in Computer Science (Imperial College London), PhD in Digital Architectures (Imperial College London). Postdoctoral roles included Research Associate and Research Fellow at Imperial's Department of Computing. Research Interests: Event-driven computing, FPGA-based systems, high-level synthesis, and high-performance computing. His work emphasizes practical implementations of theoretical models, such as custom processors and application-specific accelerators. Current projects include optimizing random number generation for FPGAs and exploring meta-programming techniques for hardware design. Advising and Grants: Supervises multiple PhD students in areas like neuromorphic computing and algorithm optimization. Active in securing funding for distributed system architectures and FPGA-based solutions. Labs/Teams: Member of the Cyber Physical Systems research group. Collaborates with interdisciplinary teams on projects like POETS (Partially Ordered Event-Triggered Systems) for large-scale parallel computing.

• Cryptography
• Blockchain Technology
• Cybersecurity
• +۴ مورد دیگر

Sri AravindaKrishnan Thyagarajan is a Lecturer at The University of Sydney's School of Computer Science, specializing in cryptography. He focuses on enhancing security and fairness in distributed systems, blockchains, and multi-party computations with applications in post-quantum cryptography. His work spans top-tier conferences like ACM CCS and IEEE SP. Education: B.Tech, Computer Science & Engineering, National Institute of Technology Trichy, India (2011–2015) M.Sc., Computer Science, Saarland University, Germany (2015–2016) Ph.D., Applied Cryptography, Friedrich Alexander Universität Erlangen-Nürnberg, Germany (2016–2021) Research Interests: Cryptography (classical and post-quantum), blockchain security, cryptocurrencies, fairness in multi-party computations, privacy-preserving protocols, and decentralized systems. Recent Articles: Focus on cryptographic protocols for blockchains, threshold cryptography, verifiable randomness, and secure atomic swaps. Recent work includes advancements in post-quantum signatures, distributed randomness generation, and privacy-preserving payment systems. Awards: Nominated for GI Dissertationspreis 2021 Advising & Grants: Advising Ankit Kapoor. Active in program committees for CCS, IEEE SP, and FC. Currently Program Chair for Crypto Valley Conference 2025. Labs/Teams: Part of the Sydney Blockchain Centre and cybersecurity cluster at the University of Sydney. Collaborates globally with institutions like NTT Research, Carnegie Mellon University, and Bocconi University.

Yuichiro Hoshiمشاهده پروفایل

دانشیار

• Arithmetic Geometry
• Anabelian Geometry
• p-adic Teichmüller Theory
• +۵ مورد دیگر

Yuichiro Hoshi is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS) , Kyoto University. His research focuses on arithmetic geometry , particularly anabelian geometry and p-adic Teichmüller theory , with a special emphasis on fundamental groups of algebraic varieties related to hyperbolic curves. Education: M.Sc. in Mathematics, Kyoto University (2006) D.Sc. in Mathematics, Kyoto University (2009) Research Interests: Yuichiro Hoshi's work delves into the deep connections between arithmetic geometry and Galois theory , exploring Grothendieck's anabelian conjecture , section conjecture , and p-adic Teichmüller theory . His research aims to understand the structure of fundamental groups of hyperbolic curves and their applications to number theory and algebraic geometry. Recent Publications: Hoshi has published extensively in top-tier journals, with recent works focusing on anabelian geometry of configuration spaces , hyperbolic curvoids , and inter-universal Teichmüller theory . His collaborations include notable mathematicians such as Shinichi Mochizuki and Shota Tsujimura. Scientific Awards: 28th Inoue Research Award for Young Scientists (2012) 1st IUT Innovator Prize (2024) International Engagement: Hoshi has held visiting positions at institutions such as the Isaac Newton Institute for Mathematical Sciences (Cambridge University), Université de Paris 6 , and Johann Wolfgang Goethe-Universität Frankfurt am Main . He actively organizes and participates in international conferences and seminars, contributing to the global advancement of anabelian geometry and related fields. Contact: Email: yuichiro@kurims.kyoto-u.ac.jp

Bianca Virayمشاهده پروفایل

استاد

• Arithmetic Geometry
• Number Theory
• Algebraic Geometry
• +۳ مورد دیگر

Bianca Viray is a Professor in the Department of Mathematics at the University of Washington. Her research focuses on arithmetic geometry, number theory, and algebraic geometry, particularly exploring rational points on varieties and Brauer-Manin obstructions. She actively organizes the UW Number Theory Seminar and collaborates on projects addressing the distribution of mathematical potential and inclusive education. Viray's work bridges theoretical advancements with pedagogical contributions, including workshops on effective mathematical communication and resources for academic success. Her research interests emphasize the intersection of arithmetic and algebraic geometry, with a focus on quadratic points, conic bundles, and the persistence of obstructions in rationality questions. She has contributed to foundational studies on Brauer groups, del Pezzo surfaces, and the arithmetic of curves, often involving collaborations on computational algebraic geometry tools like Magma and Sage. Viray's articles span topics like quartic del Pezzo surfaces, parameterized points on curves, and number fields generated by linear systems. She advocates for equitable mathematics education through initiatives rooted in Federico Ardila’s axioms, emphasizing dignity and accessibility in academic environments.

Fangzhou Jinمشاهده پروفایل

استادیار

• Algebraic Geometry
• Pure motives
• Mixed motives
• +۵ مورد دیگر

Fangzhou Jin is an Assistant Professor at the School of Mathematical Sciences, Tongji University. His research focuses on advanced topics in Algebraic Geometry , particularly in Motivic Homotopy Theory , Algebraic K-theory , and Real Algebraic Geometry . He has extensive experience in collaborative mathematical research, having worked with prominent mathematicians such as Frédéric Déglise, Enlin Yang, and Marc Levine. Education : Ph.D. in Mathematics (2016, École Normale Supérieure de Lyon), M.Sc. in Pure Mathematics (2012, Université Paris-Diderot), Diploma of ENS (2013) His work bridges Algebraic Cycles with Étale Cohomology , exploring Weight Structures in mixed motives and Chern Classes in motivic contexts. Jin has contributed to the theory of Trace Maps and Local Terms in motivic homotopy, as well as the study of Flat Cohomology and Real Schemes . Key trends in his publications include: 2025: Cohomology of singular varieties via real cycle class maps 2024: Trace maps and local terms in motivic homotopy 2023: Moving lemmas in homotopy colevel theory 2022: Quadratic conductors, perverse homotopy, and pro-Chern classes 2021: Rational motivic homotopy and Künneth formulas 2020: Gersten complexes and real flat cohomology 2018: Algebraic G-theory in motivic categories 2016: Borel-Moore homology and weight structures Scientific Awards & Grants : Fundamental Research Funds for Central Universities (2021-2025) National Natural Science Foundation of China Grants 12101455 (2022-2024), 12471014 (2025-2028) National Key R&D Program of China 2021YFA1001400 (2022-2026) DFG Priority Programme SPP 1786 & ERC Project QUADAG (2018-2020) Advising & Teaching : Jin has supervised exercise classes and seminars at multiple institutions, including Universität Duisburg-Essen and Tongji University. His teaching spans Algebraic Topology , Étale Cohomology , and Algebraic Geometry . Labs & Collaborations : Active in international collaborations, he is a key member of the Algebraic Geometry and Ramification Seminar at Tongji University and has participated in DFG Research Training Group 2553 during his postdoctoral period.

Jim Beuerleمشاهده پروفایل

دانشیار

• Group Theory
• Algebra
• Abstract Algebra
• +۷ مورد دیگر

Jim Beuerle is an Associate Professor of Mathematics and Chair of the Department of Mathematics and Statistics at Elon University since 2007, with prior roles as Assistant Professor (2000-2007) and Ursinus College faculty (1999-2000). He earned his B.S., M.A., and Ph.D. from Binghamton University, focusing on group theory, specifically Nonabelian Tensor Squares of metacyclic p-groups. Education: B.S., M.A., Ph.D. from Binghamton University His research spans group theory, Galois extensions, and mathematical education, with publications on power compositional polynomials, 2-adic numbers, and tensor squares of p-groups. He has advised numerous undergraduate research projects, including studies on encryption schemes, Fourier transforms, and PageRank algorithms. Recent articles analyze field extensions, Galois groups, and metacyclic p-groups, reflecting his expertise in abstract algebra and computational methods. He also explores educational strategies to enhance student engagement in calculus. Scientific Awards Patterson Prize for outstanding Research (2010) Beuerle leads the Elon University Mathematics Contest and serves as NCCTM State Math Contest Co-Chair. He contributes to AP Statistics Reading and has held roles as department chair, United Way co-chair, and webmaster for the MAA Southeastern Section.

• Data Science
• Artificial Intelligence
• Machine Learning
• +۱۰ مورد دیگر

Professor Zoheir Sabeur is Professor of Data Science and Artificial Intelligence at Bournemouth University (2019–present) and Head of the Processes and Behaviour Understanding (PRO_BU) Research Group. He concurrently serves as Visiting Professor of Data Science at Colorado School of Mines (2017–present) and held the position of Science Director at the IT Innovation Centre, University of Southampton (2009–2019). Over three decades he has led more than 30 large-scale projects as Principal Investigator, securing over £12 million of funding from the European Commission, UKRI, DSTL, NERC, EPSRC and industry. Education PhD in Theoretical Physics, University of Glasgow (1990) MSc in Theoretical Physics, University of Glasgow (1986) BSc First-Class Honours in Physics and Applied Mathematics, Université d'Oran (1984) Advanced Leadership Programme, Ashridge Business School (2011) Research Interests Professor Sabeur’s research focuses on the fundamental theory and application of data science and artificial intelligence to understand complex human, natural and industrial processes and behaviours. His work spans multi-modal sensing, big-data analytics and machine-learning algorithms that extract actionable knowledge from large heterogeneous datasets. Application domains include: Healthcare: AI-driven diagnostics and prognostics for chronic diseases such as COPD, asthma and cancers through omics and phenotypic data integration. Environmental & Climate: Earth-observation analytics for wildlife migration and climate-change impact assessment using satellite data and global grid systems. Maritime & Cyber-Physical Security: Real-time risk assessment for shipping in extreme environments, smart-city safety and critical-infrastructure protection using computer vision and sensor fusion. Recent research has produced novel AI classifiers that analyse lung-auscultation audio signals to grade COPD severity, as well as digital-twin frameworks for detecting malicious behaviour in urban spaces. Scientific Awards & Recognition Fellow of the British Computer Society (FBCS) Fellow of the Institute of Marine Engineering, Science & Technology (FIMarEST) Chartered Engineer (CEng) and Chartered Physicist (CPhys) Multiple ORS Awards (1987, 1988, 1989) Grants & Doctoral Supervision Professor Sabeur has secured and led more than 40 funded projects since 1996, including recent grants such as INSIGHT (NIHR, 2024) and S4AllCities (H2020, 2020). He currently supervises three ongoing PhD students at Bournemouth University and has successfully graduated three others, covering topics from computational hydrodynamics to AI-based respiratory-disease analytics. He welcomes enquiries from prospective postgraduate researchers interested in data science, AI and interdisciplinary applications under schemes such as UKRI and Horizon Europe.

David Lewisمشاهده پروفایل

استاد

• Materials Chemistry
• Nanomaterials
• Thermoelectrics
• +۶ مورد دیگر

David Lewis is the Head of the Department of Materials and Professor of Materials Chemistry at the University of Manchester. His research focuses on energy-generation materials, including inorganic thin films and nanomaterials for applications in thermoelectrics, photocatalysis, and photovoltaics. He leads an internationally collaborative group exploring solution-phase synthesis routes and additive manufacturing techniques. Lewis holds editorial roles at Scientific Reports and Materials Science in Semiconductor Processing . Education: PhD in Chemistry MSc in Chemistry (1st Class Hons), University of Birmingham Research Interests: Lewis’s work centers on designing low-temperature syntheses of nanomaterials using molecular precursors. Key areas include layered and 2D materials (e.g., MoS2, black phosphorus), high-entropy materials, and superhydrophobic nanomaterials. His lab pioneers scalable methods like aerosol-assisted CVD and liquid-phase exfoliation. Grants & Awards: Lewis has secured £3.1M+ in funding, including EPSRC grants for nanofabrication and corrosion-resistant electrocatalysts. He received the IAAM Medal (2021) and FIMMM fellowship. His group hosts students via scholarships like the Presidential Doctoral Scheme. Labs & Teams: His lab collaborates globally on energy materials. Capacity-building initiatives include the Royal Society-funded CaGSUMI project for African solar cell development.