Find Academic Supervisors

• Molecular Materials
• Supramolecular Chemistry
• Nanoscience
• +4 more

James D. Wuest is a Full Professor (Professeur titulaire) in the Department of Chemistry at Université de Montréal's Faculty of Arts and Sciences. He holds the Canada Research Chair in Supramolecular Materials and is affiliated with strategic research centers like CCVC (Centre en chimie verte et catalyse) and CQMF (Centre québécois sur les matériaux fonctionnels). His research focuses on molecular tectonics, supramolecular chemistry, and nanoscience, leveraging organic/inorganic synthesis to explore materials science and crystal engineering. Key academic roles include teaching courses like CHM-2302 Structure et réactivité moléculaire and supervising over 50 graduate students since 1990. Awards include the Prix Urgel-Archambault (2008) and membership in the Royal Society of Canada (1996). Notable grants include NSERC Discovery Grants (since 1994) and strategic initiatives like the $8.8M infrastructure project for molecular materials research (2021). Research trends emphasize polymorphism screening, mixed-crystal crystallization, and green synthesis of energy materials. Major contributions include designing porous molecular networks and studying fullerene interactions. Collaborations span Quebec’s functional materials community, with interdisciplinary projects in nanotechnology and sustainable chemistry. Grants: Over $10M in funding for molecular materials, energy storage, and infrastructure projects. Labs/Teams: Lead researcher in the Canada Research Chair program and core member of CCVC/CQMF networks.

Robert RandView profile

Assistant Professor

• Quantum Computing
• Formal Verification
• Quantum Programming
• +3 more

Robert Rand is an Assistant Professor of Computer Science at the University of Chicago, affiliated with the Programming Languages Research Group and the Chicago Quantum Exchange . His research bridges programming languages, formal verification, and quantum computation. Dr. Rand focuses on Quantum Computing , Formal Verification , and Quantum Programming . He develops tools like QWIRE for quantum circuit representation and VOQC for verified quantum compilers. Current work includes a textbook on verified quantum programming. His publications span quantum compiler verification, algebraic quantum languages, and formal methods in quantum computing. Recent projects involve error-correction, type systems, and quantum-classical interoperability through Qunity . Scientific Awards 2023 AFOSR Young Investigator Research Program Award France and Chicago Collaborating in the Sciences Award 2022 Keynote Speaker, Compiler Construction Distinguished paper awards: PLDI 2021, POPL 2019 Victor Basili Postdoctoral Fellowship (UMD) Dr. Rand actively collaborates on NSF-funded EPiQC (Enabling Practical-Scale Quantum Computing) and teaches advanced topics in quantum programming languages. He is currently working on a textbook on verified quantum programming and maintains active research groups in both Programming Languages and Quantum Computing.

Rachel NewtonView profile

Associate Professor

• Number Theory
• Rational points on algebraic varieties
• Local-global principles
• +3 more

Rachel Newton is a Reader (Associate Professor) in Number Theory at King’s College London’s Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. She holds a Future Leaders Fellowship from UKRI. Her research focuses on rational points on algebraic varieties, local-global principles, Brauer groups, and arithmetic statistics. Education: PhD in Mathematics from the University of Cambridge (2012 under Tim Dokchitser), followed by postdoctoral positions at Universiteit Leiden, Max Planck Institute for Mathematics (MPIM Bonn), and IHÉS. Previously, she held roles at the University of Reading. Research interests include: Brauer-Manin obstructions and transcendental Brauer groups Genus numbers of abelian fields Prescribed norms in number fields Applications of machine learning to modular multiplication Grants: Active projects include a UKRI Future Leaders Fellowship (2021-2025) and EPSRC funding (2021-2022). Her work bridges arithmetic statistics with cohomological methods. Labs/Teams: Collaborates internationally on Diophantine equations and local-global principles. Her research contributes to King’s strong number theory tradition.

• Parallel Algorithms
• External-Memory Algorithms
• Large-Scale Data Systems
• +3 more

Jamshed Khan is an Assistant Research Scientist at the University of Maryland (College Park) in the Department of Computer Science. He completed his PhD in December 2024 at the same institution under the advisement of Dr. Rob Patro. His research bridges theory and systems, focusing on resource-efficient computational solutions for genomic data challenges. Research interests span several interconnected domains: Parallel Algorithms : Developing multi-core and distributed computing techniques External-Memory Systems : Creating algorithms optimized for SSD/disk storage hierarchies Large-Scale Data Structures : Designing indexes for genomic sequences and graphs Algorithm Engineering : Implementing practical solutions for computational biology His work consistently targets scalability challenges in genomic analysis pipelines. Publication trends demonstrate extensive contributions to: Parallel construction of genomic indexes (de Bruijn graphs, suffix arrays) Memory-efficient algorithms for sequence search and alignment Scalable systems for processing single-cell and bulk sequencing data Work is frequently published in premier venues including SPAA, ISMB, and Bioinformatics. Recognitions include: Ian Lawson Van Toch Memorial Award (ISMB/ECCB 2021) Outstanding Research Assistant Award (UMD 2021-2022) Excellence in Teaching Assistance Award (2018-2019) Seeks postdoctoral positions in high-performance parallel computing and large-scale data management, continuing work at the theory-systems intersection.

• Traffic Engineering
• Control Theory
• Applied Mathematics
• +3 more

Nour Khoudari is a Golomb Visiting Assistant Professor in the Department of Mathematics at Purdue University, affiliated with the College of Science. Their research focuses on traffic engineering, control theory, and applied mathematics, with a particular emphasis on integrating vehicle dynamics, energy models, and sparse control systems. They have conducted field experiments involving connected and automated vehicles (CAVs) to improve traffic flow and reduce congestion. Key projects include traffic smoothing experiments with 100 CAVs and validation of energy models using real vehicle data. Khoudari's work spans multi-scale analysis of traffic systems, from microscopic vehicle interactions to macroscopic traffic patterns. They have developed frameworks for hierarchical control designs and explored the macroscopic impacts of traffic waves. Their research also intersects cyber-physical systems, human factors in live traffic experiments, and mathematical modeling of complex systems like non-holomorphic maps. Publications highlight contributions to traffic flow optimization, energy dynamics simplification, and experimental validation of control algorithms. While no specific awards are listed, their active engagement in both theoretical and applied research demonstrates significant scholarly impact in transportation and control systems. Advising and grants are not explicitly detailed in the provided materials, though their involvement in large-scale field experiments suggests potential collaborative projects. No specific lab affiliations or teams are mentioned, though their interdisciplinary work likely involves cross-departmental collaborations within Purdue’s College of Science and engineering schools.

• Geotechnical Engineering
• Finite Element Analysis
• Soil Mechanics
• +6 more

Murat HAMDERI is a Professor at the Department of Civil Engineering, Faculty of Engineering, Turkish-German University since 2024. He previously held roles as Assistant Professor (2015–2020) and Associate Professor (2020–2024) at the same institution. His academic journey includes a Ph.D. from Drexel University (2010), focusing on geotechnical engineering, following M.Sc. and B.Sc. degrees from Boğaziçi University and Istanbul Technical University, respectively. Key affiliations include: Supervisory Engineer at Istanbul Regional Directorate of State Hydraulic Works (2000) Senior Consultant at a Dutch geotechnical firm (2012–2015) Consultant for the Akkuyu Nuclear Power Plant (2012) Research/Teaching Assistant at Drexel University (2004–2010) Research interests span geotechnical engineering, finite element analysis, soil mechanics, and foundation engineering. His work emphasizes retaining wall design, soil-structure interaction, and numerical modeling of geotechnical systems. He has conducted studies on colloidal silica applications for soil improvement and seismic response of reinforced soil structures. Recent publications focus on displacement methods for cantilever walls, p-y curves in sand, and lateral earth pressure coefficients, published in journals like Applied Sciences and International Journal of Geomechanics . No scientific awards or grants are explicitly mentioned in the provided text.

• Homotopy Theory
• Algebraic Geometry
• Combinatorics
• +3 more

Kyle Ormsby is an Associate Professor of Mathematics and Department Chair at Reed College. His research focuses on homotopy theory, algebraic geometry, and combinatorics, with particular interests in operads, equivariant homotopy, and geometric data analysis. He teaches courses like Math 111 (Calculus), Math 201 (Linear Algebra), and Math 411 (Advanced Analysis). His work bridges abstract algebraic structures and combinatorial methods, often involving collaborations with students and researchers in homotopical combinatorics. Ormsby's research explores topics such as transfer systems, N∞ operads, and motivic homotopy theory, with applications to algebraic K-theory and geometric data analysis in neuroimaging. He has organized conferences like the 2024 Homotopical Combinatorics MRC and co-founded the Project Project lab for visualizing mathematical concepts. His publications span journals like Glasgow Mathematical Journal and Homology, Homotopy and Applications , with a focus on combinatorial and categorical approaches to homotopy theory. Ormsby mentors undergraduate research, resulting in student-authored papers such as Equivariant Linear Isometries Operads and Injectivity and Surjectivity of the Dress Map . His work emphasizes interdisciplinary connections, blending pure mathematics with computational tools and visualization.

Arnaldo CamuffoView profile

Professor

• Strategic Decision-Making
• Entrepreneurship
• Lean Management
• +3 more

Arnaldo Camuffo is a Full Professor of Management at Bocconi University's Department of Management & Technology. He serves as Co-Director of the ION Management Science Lab at the SDA-Bocconi School of Management and has held visiting positions at MIT's Industrial Performance Center and the University of Michigan, Dearborn. His educational background includes a Master of Science (SM) from MIT Sloan School of Management (1989) and a PhD from the University of Venice (1990). Camuffo's research focuses on strategic decision-making processes in entrepreneurial contexts, lean management systems, and modularity in product and organizational design. He also explores strategic human capital dynamics and interorganizational relationships, particularly in manufacturing industries. His work emphasizes evidence-based methodologies, including randomized control trials (RCTs), to validate management practices and entrepreneurial strategies. In 2023, his co-authored paper 'Curbing the Addition Bias: Scientific Approaches and Propensity to Subtract in Entrepreneurial Ideas Development' received the Best Empirical Paper Award from the Entrepreneurship Division at the Academy of Management Conference. This reflects his commitment to empirical research in entrepreneurship and strategic management. Teaching: 30211 LEAN MANAGEMENT 41017 STRATEGIC HUMAN RESOURCE MANAGEMENT & HUMAN CAPITAL 20869 STRATEGIC DECISION MAKING Camuffo has contributed to editorial boards of leading management journals and actively participates in scholarly community roles. His research datasets from RCTs 1-4 on entrepreneurial decision-making are publicly available for academic use.

Alex BiryukovView profile

Professor

• Applied Cryptography
• Cryptanalysis
• Authenticated Encryption
• +4 more

Alex Biryukov is a full professor in Cryptography and Information Security at the University of Luxembourg, affiliated with the Computer Science and Communications Research Unit (CSC) and the Interdisciplinary Centre for Security, Reliability and Trust (SnT). Previously, he served as an associate professor and visiting professor at K.U.Leuven, contributing to European standards (NESSIE) and ECRYPT consortia. His expertise spans applied cryptography, cryptanalysis, lightweight cryptography for IoT, cryptocurrency security, and privacy technologies like Tor and blockchain. Biryukov has held roles as program chair for FSE'07, SAC'10, and INDOCRYPT'15, and is a program committee member for top conferences including CRYPTO and CCS. He leads the FNR CORE project ACRYPT on lightweight cryptography for IoT and contributes to the COST Action IC1403 on cryptanalysis of ubiquitous systems. His teaching focuses on symmetric cryptography, network security, and real-world applications. Biryukov earned his M.Sc. and Ph.D. from the Technion and completed postdoctoral research at the Weizmann Institute under Adi Shamir. Research interests include cryptanalysis of block ciphers (e.g., AES, SIMON, SPECK), cryptocurrency protocols, and privacy-enhancing technologies. He has pioneered attacks on AES variants and contributed to lightweight algorithms like SPARX and Argon2. Biryukov's work bridges theoretical cryptography with practical implementations, addressing security in embedded systems and blockchain.

• Paleontology
• Ediacaran Period
• Geological Time Scale
• +5 more

Dr. Guy M. Narbonne is a Professor at Queen's University, specializing in the origin and early evolution of animals and ecosystems from 700-500 million years ago. His work integrates paleontology, sedimentology, and geochemistry to explore the interplay between biological evolution and global environmental changes during the Ediacaran-Cambrian transition. His research spans fieldwork in Newfoundland, NW Canada, Australia, and Namibia, including the Science cover story on modular development of early multicellular life. He co-authored the international standard for the Cambrian Period and co-defined the Ediacaran Period, a first in over a century. Current affiliations include leadership roles in the UNESCO-IUGS International Geoscience Program and the Deep-Time Digital Earth initiative. Earth Science in Canada Leader Award (2023) Neale Medal, Geological Association of Canada (2017) Bancroft Award, Royal Society of Canada (2014) Fellow, Royal Society of Canada (2010) Elkanah Billings Medal in Paleontology (2009) Active in public outreach, he collaborated with David Suzuki and Sir David Attenborough on documentaries, served as Chief Scientist for the UNESCO World Heritage Site nomination of Mistaken Point, and continues to influence global geological timescale development.

• System-on-Chip (SoC) Design
• FPGA-Based High-Level Synthesis
• Real-Time Embedded Systems
• +5 more

Timo Hämäläinen is a Professor of Computer Engineering at Tampere University, leading the Unit of Computing Sciences within the Faculty of Information Technology and Communication Sciences. He is a core member of the System-on-Chip research group and the Computer Engineering Team, actively contributing to the System-on-Chip Hub initiative. His research focuses on System-on-Chip (SoC) design methodologies, FPGA-based high-level synthesis, real-time embedded systems, and open-source hardware-software co-design frameworks like RISC-V and HEVC encoding. He has pioneered work on agile SoC development processes and validation techniques for large-scale hardware systems. Key research areas include: High-level synthesis (HLS) optimization for FPGAs Real-time processor architectures and context-switching latency reduction Formal verification of IP-XACT-compliant SoC designs Resilient RISC-V MPSoC implementations Hardware-accelerated algorithms for signal processing and networking His recent publications (2023-2025) emphasize agile SoC development frameworks, hardware-software co-design for real-time systems, and validation methodologies for large-scale embedded systems. He has contributed to open-source projects like Kvazaar HEVC encoder and the Kactus2 IP-XACT toolchain. Academic advising includes students such as Santéri Mäki-Äijö (formal verification), Arto Oinonen (RISC-V tooling), and Sakari Lahti (processor modeling). His work integrates academic research with industrial collaboration through frameworks like the Fault-slip-Through quality assessment methodology.

Granville AndrewView profile

Professor

• Combinatorics
• Analytic Number Theory
• Arithmetic Geometry
• +3 more

Granville Andrew is a distinguished Professor of Mathematics at University College London (since 2015) and holds the Canada Research Chair at the University of Montreal (since 2002). He has held academic roles including Chair of Mathematics at the University of Georgia (1995–2002) and visiting positions at institutions such as Trinity College Cambridge and the Institute for Advanced Study. His research focuses on combinatorics, analytic number theory, and arithmetic geometry, with notable contributions to sieve methods, multiplicative functions, and prime distribution theories. Andrew has supervised 27 PhD students and advised 32 postdoctoral researchers, delivering over 100 plenary lectures globally. He is an elected member of the Royal Society and a Fellow of the American and Royal Societies of Canada. Key awards include the CRM-Fields-PIMS Prize (2021) and the Chauvenet Prize (2008). His work bridges pure mathematics with applications in cryptography and computational number theory. Education: PhD in Mathematics, Queen's University (1987), advised by Paulo Ribenboim MSc in Mathematics, Trinity College Cambridge (1984) Research Interests: Exploring the interface between combinatorics and number theory, particularly probabilistic combinatorics applied to additive number theory Study of multiplicative functions and their spectral properties Analysis of prime distribution and limitations in equidistribution patterns Investigations into abc conjecture implications and Siegel zeros Applications of dynamical systems in arithmetic geometry Academic Impact: Proved infinitude of Carmichael numbers, resolving a longstanding conjecture Pioneered 'pretentious' approach to analytic number theory Contributed foundational work on character sums and L-functions Grants & Advising: Recipient of Canadian Research Chair funding since 2002 Presidential Faculty Fellowship (1994–1999) from President Bill Clinton Supervised 27 PhD students and advised 32 postdoctoral researchers across his career

• Soft Robotics
• Architectural Design
• Computational Design
• +3 more

Valentina Soana serves as Lecturer in Architectural Design and Architectural Computation at University College London's Bartlett School of Architecture, where she leads Research Cluster 2 – Soft Robotic Architecture and supervises MSc students. Concurrently, she is completing her PhD in soft robotics and lightweight materials within UCL's Department of Mechanical Engineering. Education: Master of Architecture, KTH Royal Institute of Technology, Stockholm (Distinction) Master of Science, Integrative Technologies and Architectural Design Research (ITECH), University of Stuttgart (Distinction) Her pioneering research centers on Elastic Robotic Structures (ERS) – large-scale intelligent systems that leverage material elasticity to achieve shape-morphing capabilities through strategic robotic actuation. This work bridges computational design and physical behavior to create adaptive architectural environments that respond dynamically to human interaction and environmental stimuli, minimizing resource consumption while enabling complex transformations. Analysis of her publication trajectory reveals consistent innovation in bending-active systems, pneumatic-hybrid structures, and aerial robotics since 2020. Her Nature-published work on autonomous construction drones demonstrates cross-disciplinary impact, while recent 2024-2025 papers establish foundational frameworks for shape-morphing elastic systems in architectural applications. Professional Recognition: Master's degrees earned with Distinction from two leading European institutions Commissioned work exhibited at Venice Biennale (2021) International presentations across robotics, physics, and architecture venues As academic supervisor for MSc students and leader of Research Cluster 2, Soana develops next-generation designers through hands-on exploration of robotic architecture. Her research methodology combines theoretical frameworks with physical prototyping, resulting in over 20 functional ERS demonstrations that inform both academic discourse and practical applications. Her experimental work operates through dual UCL laboratories: the Soft Haptics and Robotics Lab and the Mechanics of Lightweight Materials and Structures Lab, where interdisciplinary teams advance the integration of material science, robotics, and architectural design.

Reda MohammedView profile

Lecturer

• TESOL
• Applied Linguistics
• Heritage Language Maintenance
• +6 more

Reda Mohammed is a Full-time Lecturer in the Writing for Non-Native Speakers of English program at Case Western Reserve University's Department of English (College of Arts and Sciences). She holds a PhD in English Studies with a specialization in Linguistics and TESOL from Illinois State University and an MA in Literature from the University of Wyoming. Her interdisciplinary research bridges Linguistics, Composition Studies, and Literary/Cultural Studies, focusing on multiliteracies, identity negotiation in language use, and systemic inequities affecting heritage language maintenance. Key areas include Arabic heritage language development, family language policy, and linguistic diversity in educational contexts. She emphasizes equitable pedagogy and resource accessibility in her teaching. Her recent work (2021-2023) explores Midwestern language ideologies, Islamic school dynamics, and the intersection of identity, pedagogy, and cultural capital. Over 15 published articles reflect her commitment to understanding sociolinguistic challenges faced by marginalized language communities and improving educational practices for multilingual learners. Teaching focuses include creating inclusive environments that leverage students’ diverse linguistic backgrounds. While no specific grants or awards are listed, her research consistently addresses underrepresented topics in applied linguistics and multicultural education.

• Ship Technology
• Ocean Engineering
• Computational Fluid Dynamics
• +7 more

Prof. Bettar Ould el Moctar is a Full Professor for Ship Technology and Ocean Engineering at the University of Duisburg-Essen, Germany, where he has served as Head of the Institute of Sustainable and Autonomous Maritime Systems (INAM) since 2008. He also directs the Model Basin: Development Centre for Ship Technology and Transport Systems (DST) in Duisburg. His academic career spans naval architecture, ocean engineering, and computational fluid dynamics with extensive industry experience in maritime technology. Prof. el Moctar earned his Graduate Engineer Degree in Naval Architecture & Ocean Engineering from the University of Hamburg (1990-1997), followed by a PhD in Computational Fluid Dynamics from the Hamburg University of Technology (1997-2001). His doctoral research focused on "Numerical Computation of Flow Induced Forces Acting on Manoeuvring Ships." Prof. el Moctar's research spans ship technology, ocean engineering, computational fluid dynamics, cavitation, hydrodynamics, and hydroelasticity. His work addresses critical challenges in maritime systems including wave-structure interactions, fluid-structure dynamics, cavitation control, and energy harvesting from marine environments. He has pioneered research in computational methods for seakeeping problems and developed innovative approaches for analyzing wave-induced loads and hydroelasticity effects. His extensive publication record demonstrates significant contributions across fluid dynamics, ship technology, and ocean engineering. Recent work shows a strong focus on cavitation phenomena, energy harvesting from marine environments, hydroelasticity of floating structures, and advanced computational methods. His research integrates experimental, numerical, and data-driven approaches to solve complex maritime engineering challenges. Georg Weinblum-Award (for dissertation, 2001) Landrini Award (for research activities, 2005) Prof. el Moctar has served as Editor in Chief of the Journal of Ship Technology Research and holds editorial positions with several prominent journals. His professional activities include membership on numerous advisory boards including the German Research Ships "Meteor" and "Merian," the German Academic Exchange Service (DAAD), and the Federal Ministry for Economic Affairs and Climate Action. He previously held leadership positions at Germanischer Lloyd AG and DNV GL SE before his academic appointment. As Director of INAM and the Model Basin DST, Prof. el Moctar oversees advanced research facilities for maritime technology development. His institute conducts cutting-edge research in sustainable and autonomous maritime systems, with capabilities in computational modeling, experimental testing, and technology transfer to industry partners.