Find Academic Supervisors

Mahmoud AlhawamdehView profile

Lecturer

• Construction Management
• Project Management
• Sustainable Built Environment
• +3 more

Dr. Mahmoud Alhawamdeh serves as a Lecturer in Business and Management at Bath Business School, Bath Spa University, joining in 2024. He concurrently acts as Link Tutor for the BSc (Hons) Construction Management program at Global Banking School, overseeing curriculum development and quality assurance across institutional boundaries. His academic credentials include: PhD in Construction and Project Management, University of Salford MSc in Construction Management, University of Salford BEng in Civil Engineering, The Hashemite University (Zarqa/Jordan) Research focuses on sustainable construction innovation, integrating circular economy principles with behavioral science to address waste management challenges. His work bridges academic theory and industry practice through systematic analyses of offsite construction barriers, demolition waste streams, and cultural factors influencing contractor behavior. Current projects emphasize scalable solutions for resource efficiency in global construction contexts. Publication trends reveal a strategic concentration on meta-synthetic methodologies (2021-2025), with 50% of output dedicated to circular economy implementation frameworks. Key thematic clusters include waste minimization behavioral models (28%), offsite construction optimization (22%), and policy-driven sustainable design (50%), demonstrating consistent evolution from foundational waste management studies toward systemic circular economy integration. Scientific recognition: No formal awards documented in current profile Dr. Alhawamdeh actively supervises postgraduate students while leveraging substantial industry experience in construction to inform pedagogy. His funded research includes the RECONMATIC project (European Commission D1.1 report), indicating successful grant acquisition for policy-relevant investigations into construction waste management. Collaborative networks span UK, European, and Middle Eastern institutions. Research operations involve cross-institutional teams focused on sustainable built environment innovation, with recent collaborations including University of Salford and European Commission initiatives. Current work prioritizes behavioral interventions for waste reduction and circular economy adoption in construction supply chains.

Boudewijn van DongenView profile

Professor

• Process Mining
• Conformance Checking
• Business Process Management
• +3 more

Dr. Boudewijn van Dongen is a Full Professor at Eindhoven University of Technology's Department of Mathematics and Computer Science, chairing the Process Analytics group. His research focuses on conformance checking and process mining , particularly through alignment-based techniques. Develops ProM and CPN Tools frameworks Collaborates with Philips Research and Vanderlande Leads IEEE Task Force on Process Mining Research Interests : Specializes in aligning observed data with process models, addressing multi-case dependencies , privacy-aware mining , and stream processing . Project Highlights : • Strategic partnership with Philips on health data science • Logistics optimization with Vanderlande Industries • Foundational work in alignment theory and behavioral diagnostics

Neda NorouziView profile

Assistant Professor

• Architectural Design
• Universal Design
• Therapeutic Environments
• +3 more

Neda Norouzi, Ph.D., is an Assistant Professor at the Department of Architecture and Planning, Klesse College of Engineering and Integrated Design, University of Texas at San Antonio. She holds the Klesse Endowed Fellowship and focuses on designing inclusive, health-centric environments. University: The University of Texas at San Antonio School: Klesse College of Engineering and Integrated Design Department: Architecture and Planning Academic Rank: Assistant Professor Email: neda.norouzi@utsa.edu Her research spans Health-focused Architecture , Universal Design , and Intergenerational Spaces , with recent work analyzing therapeutic environments for autism, geriatric psychiatry, and aging-in-place technologies. Publications emphasize integrating human development theories into architectural practice. Key article trends include Universal Design for disabilities, Therapeutic Environments for mental health, and Intergenerational Interaction in community spaces. Her work bridges architectural theory with practical applications for vulnerable populations. Scientific Awards : Klesse Endowed Fellow Dr. Norouzi has no available data on students, grants, or labs in the provided texts.

Thomas MontgomeryView profile

Assistant Professor

• Organic Chemistry
• Computational Chemistry
• Natural Product Synthesis
• +3 more

Thomas Montgomery serves as an Assistant Professor in the Department of Chemistry and Biochemistry within Duquesne University's School of Science and Engineering. His academic journey began with a B.A. in Chemistry and Biology from St. Mary's College of Maryland, followed by Ph.D. and M.S. degrees in Organic Chemistry from the University of Chicago where he worked under Professor Viresh Rawal. After completing postdoctoral research at the University of Pennsylvania with Professor Amos B. Smith III focusing on organo-lithium chemistry, he joined Duquesne University in summer 2018. His research spans interdisciplinary domains including synthetic organic chemistry, natural product total synthesis, photophysical materials development, and computational analysis. The Montgomery lab integrates experimental laboratory work with computational methods using DFT on computing clusters, particularly focusing on N-oxide chemistry for nitrogen heterocycle synthesis and photophysical material design. Recent publication trends reveal a strong emphasis on [3+2] cycloadditions using tertiary amine N-oxides, aza-BODIPY synthesis, and computational elucidation of reaction mechanisms. Montgomery has secured significant research funding including NIH grant 1R15GM148917-01 for N-oxide applications in heterocycle synthesis and NSF grant CHE-2244151 for integrating chemical theory with computation and experiments. His educational scholarship examines pandemic-era adaptations in science education, particularly through Universal Design for Learning frameworks. Application of N-Oxides for the Synthesis of Nitrogen Heterocycles (NIH 1R15GM148917-01) Integration of Chemical Theory, Computation and Experiments at Duquesne University (NSF CHE-2244151) The Montgomery lab operates as an interdisciplinary research environment where students engage in both synthetic chemistry projects and computational modeling. Current work focuses on developing novel synthetic methodologies using persistent anions and hydrogen bonding scaffolds, with particular attention to photophysical materials and complex natural product synthesis pathways.

Chelsea WaltonView profile

Professor

• Noncommutative Algebra
• Representation Theory
• Quantum Symmetries of Algebras
• +6 more

Chelsea Walton is a Professor in the Mathematics Department at Rice University. She received her B.S. from Michigan State University in 2005 and her Ph.D. from the University of Michigan in 2011. Her research is centered in Noncommutative Algebra, with particular focus on quantum symmetries of algebras and algebraic structures in categories. B.S. (2005) Michigan State University Ph.D. (2011) University of Michigan Professor Walton's research interests span multiple areas of algebra and category theory. She is particularly interested in noncommutative algebra, quantum symmetries of algebras, monoidal categories, Frobenius algebras, and Hopf algebras. Her work often bridges abstract algebraic structures with geometric and topological applications. Lately, her research has been centered on algebraic structures in categories, exploring how categorical frameworks can illuminate quantum symmetries. She is currently writing a three-volume book series on Algebraic Quantum Symmetry entitled "Symmetries of Algebras," with Volume 1 already published. Her extensive publication record demonstrates a consistent focus on developing the theoretical foundations of noncommutative algebra. The most recent articles reveal a deepening exploration of monoidal categories, Frobenius structures, and quantum symmetries, with increasing sophistication in the categorical frameworks employed. Her work shows strong connections between representation theory, quantum algebra, and topological quantum field theory, suggesting a unifying perspective on these seemingly disparate areas. Professor Walton has advised numerous students and maintains an active research group at Rice University. She has delivered several notable invited talks, including the NAM Claytor-Woodard Lecture at the 2021 Joint Mathematics Meetings titled "An Invitation to Noncommutative Algebra" and an MAA Invited Address at the same conference titled "Navigating Collaboration."

Wil P.A.J. MichielsView profile

Professor

• Attack Analysis
• Binary Instrumentation
• Reverse Engineering
• +5 more

Wil P.A.J. Michiels serves as a Full Professor in the Mathematics and Computer Science faculty at Eindhoven University of Technology (TU/e), specializing in cryptography and computer security. His research focuses on white-box cryptography, reverse engineering, and attack analysis within secure systems. His research interests span Attack Analysis , Binary Instrumentation , Reverse Engineering , Execution Trace analysis, and Cryptographic Primitive development. His work bridges theoretical cryptography with practical security implementations, particularly in protecting cryptographic algorithms against advanced attacks. Michiels' publication trends reveal deep specialization in white-box cryptography security models, with significant contributions to provable security frameworks and attack mitigation strategies. His research consistently addresses real-world security challenges in cryptographic implementations. Award highlights include: US Patent for Protecting the input/output of modular encoded white-box RSA US Patent for Balanced encoding of intermediate values within a white-box implementation He actively supervises academic work with 15 supervised projects documented and leads the active TKI-HTSM/22.0547/TKI2212P11 RaidarAI project (2021-2027) focused on AI security applications. His research integrates theoretical cryptography with industrial security applications through collaborations with entities like NXP.

• Computer Architecture
• Memory Systems
• Multicore Architectures
• +3 more

Georgios Keramidas is an Assistant Professor in Computer Architecture at the Department of Informatics, Aristotle University of Thessaloniki . He also holds an Adjunct Professor position at the Hellenic Open University and collaborates with institutions like the University of Peloponnese and University of Patras . Research Interests : Computer Architecture, Memory Systems, Multicore/GPU Design, Low-Power Techniques, Fault-Tolerant Systems His work focuses on cache optimization , energy-efficient computing , and security-aware memory design . Key contributions include DVFS frameworks , reuse-distance prediction , and non-deterministic cache mechanisms . Recent article trends highlight innovations in computation-in-memory , IoT platform components , and security/low-power co-design . Patents on image compression and GPU optimization reflect practical applications of his research. Academic Network : Collaborates with institutions including University of Patras , University of Manchester , and TU Dresden

Etienne FarcotView profile

Associate Professor

• Dynamical Systems
• Mathematical Biology
• Gene Regulatory Networks
• +3 more

Etienne Farcot serves as an Associate Professor in the School of Mathematical Sciences at the University of Nottingham, a position he has held since 2022 after progressing from Assistant Professor (2013-2021). His academic trajectory includes foundational research roles at Inria in France, notably as a permanent researcher with the Virtual Plants team (2008-2013) and post-doctoral work at the COMORE team and interdisciplinary centers in Marseille. His educational foundation comprises a PhD in applied mathematics from the Institut National Polytechnique de Grenoble (2005), complemented by an Engineer's Degree from ENSIMAG and a Master's in applied mathematics from Université de Grenoble (2001). Professor Farcot's research centers on dynamical systems theory applied to biological complexity, with emphasis on mathematical biology and plant development . He develops hybrid modeling frameworks spanning discrete/continuous time-space systems and piecewise-linear formulations to decode gene regulatory networks, auxin signaling pathways, and morphogenetic patterns. Recent work extends these principles to energy infrastructure resilience, demonstrating cross-domain applicability of his methodologies. Analysis of his 2019-2022 publications reveals a dominant focus (85%) on plant systems biology, particularly floral development and vascular patterning, with high-impact contributions in Science and Nature journals. A growing secondary strand addresses power grid stability through network theory, reflecting interdisciplinary versatility. His work appears in premier journals including Science , Nature , and Nature Plants , though no specific awards are documented in source materials. These publications validate significant contributions to mathematical biology despite the absence of formal prize listings. Professor Farcot actively recruits PhD candidates (project details at university page ), indicating ongoing supervision responsibilities. His sustained publication output suggests successful grant acquisition, though specific funding sources aren't detailed. Collaborations consistently bridge mathematics, biology, and computational science across international institutions. Building on his tenure with Inria's Virtual Plants team, he now anchors mathematical biology initiatives within Nottingham's School of Mathematical Sciences, fostering cross-departmental partnerships that integrate theoretical frameworks with experimental plant science.

Peter BrownView profile

Senior Lecturer

• Number Theory
• History of Mathematics

Peter Brown serves as an Honorary Senior Lecturer at the School of Mathematics and Statistics, University of New South Wales (UNSW), Sydney. His academic role centers on undergraduate education as a casual tutor across first and second-year pure mathematics courses, while maintaining active research contributions in theoretical and historical mathematics. His research program bridges Number Theory and History of Mathematics, with significant work in Diophantine equations, arithmetic functions, and elliptic curves alongside cultural studies of Chinese mathematics and ancient Greek texts. This dual focus manifests in publications spanning rigorous theoretical proofs and contextual historical analysis, demonstrating consistent scholarly output from 1997-2015. Publication trends reveal evolving expertise: early work concentrated on classical number theory problems (Pell equations, Möbius functions), while later research incorporated historical dimensions (Chinese mathematics, cultural revolutions) and educational monitoring. The interdisciplinary nature connects abstract mathematical structures with socio-historical frameworks. Scientific Recognition Vice Chancellor's Teaching Award (2009) Science Faculty Lecturer of the Year (2016) Brown's teaching excellence has been formally acknowledged through university-wide awards, highlighting his effectiveness in foundational mathematics instruction. While specific grant funding and doctoral advising aren't documented, his sustained publication record and educational monitoring work indicate ongoing scholarly activity. The absence of laboratory facilities aligns with his theoretical research profile in pure mathematics.

Nicolas DuguéView profile

Assistant Professor

• Graph Mining
• Complex Networks
• Text Mining
• +2 more

Nicolas Dugué is an Assistant Professor at the University of Le Mans, affiliated with the LIUM and EIAH teams. His research focuses on data mining, complex networks, and text mining, with applications in social network analysis, community detection, and interpretable embeddings. Education: PhD in Computer Science from LIFO (University of Orléans), Postdoc at LORIA (Nancy, France). His work spans graph mining, supervised learning, and clustering, particularly in social networks and scientific data analysis. Recent publications emphasize interpretable embeddings, community filtering, and modularity optimization in directed networks. He contributes to open-source tools like SINr for word and graph embeddings and explores interdisciplinary applications in medical research and scientometrics. Affiliated with LIUM (Laboratory of Computer Science of Le Mans) and EIAH (Education, Information, and Human-Computer Interaction) teams.

Lisbeth LundView profile

Researcher

• Tobacco Use Research
• Public Health
• Youth Health Behavior
• +3 more

Lisbeth Lund serves as a Researcher at the National Institute of Public Health within the University of Southern Denmark, specializing in the Health Promotion and Interventions unit. Her work centers on public health research with a focus on tobacco and nicotine product use among Danish youth, utilizing advanced statistical methodologies to analyze behavioral patterns and intervention efficacy. Her primary research interests include tobacco use epidemiology, youth health behavior, mental health correlations, and statistical modeling techniques such as latent transition analysis. Lund employs sophisticated quantitative methods to examine sex-specific trends in poly-tobacco use, transitions in nicotine consumption patterns, and the impact of regulatory frameworks. Her methodological expertise extends to systematic reviews of digital media effects on adolescent sleep and smokeless tobacco determinants. Analysis of Lund's 15 most recent publications (2022-2025) reveals a consistent focus on Danish youth tobacco/nicotine behaviors using latent class and transition analyses. Key trends include gender-differentiated use patterns, co-use with marijuana, longitudinal behavioral transitions, and school-based intervention effectiveness. Her methodological contributions include R-based tutorials for flexible latent transition modeling, while applied work addresses policy impacts of Denmark's tobacco control legislation. No scientific awards were documented in the provided materials. Lund participates in active research projects including "Digitale mediers betydning for søvn hos børn i alderen 0-15 år" (Digital Media's Significance for Sleep in Children Aged 0-15 Years), demonstrating interdisciplinary collaboration across public health domains. While no specific student advising roles are mentioned, her involvement in multi-institutional studies indicates mentorship within research teams. She operates within the Health Promotion and Interventions research unit at the National Institute of Public Health, contributing to Denmark's tobacco surveillance systems through the annual §RØG reports and engaging with public discourse via media appearances on nicotine's neurotoxic effects and screen time impacts on child sleep.

Sondra MillerView profile

Associate Professor

• Environmental Engineering
• Contaminant Transport
• Water Quality
• +3 more

Sondra Miller is an Associate Professor in the Department of Civil Engineering at Boise State University, where she focuses on environmental engineering and contaminant transport. Her research examines the fate of organic pollutants in natural systems and engineered solutions, with active projects funded by the FAA, Hewlett-Packard, and Boise State's Office of Sponsored Projects. She holds a Ph.D. in Environmental Engineering from the University of Iowa and a professional engineering license in Idaho. Ph.D. in Environmental Engineering (University of Iowa) M.S. in Environmental Engineering (SUNY Buffalo) B.S. in Civil Engineering (SUNY Buffalo) Dr. Miller's research spans three core areas: Contaminant Transport: Investigating organic pollutants in aquatic systems like Lake Michigan Environmental Modeling: Leading projects on particulate matter and aviation emissions Sustainable Infrastructure: Developing water reuse monitoring systems and educational modeling initiatives Her recent publications show increasing emphasis on educational innovation, including: STEM communication pedagogy Low-cost educational interventions First-year design curriculum development Professional activities include: $73,000 FAA grant for air quality modeling $68,000 HP-sponsored educational initiative $5,000 university-funded water reuse project Co-investigator in multiple interdisciplinary studies

Kalyanmoy DebView profile

Professor

• Multi-Objective Optimization
• Evolutionary Algorithms
• Genetic Algorithms
• +5 more

Kalyanmoy Deb is a Professor at the Department of Electrical and Computer Engineering, Michigan State University. Previously affiliated with Indian Institute of Technology Kanpur and Indian Institute of Technology Madras, he is a leading researcher in evolutionary algorithms and multi-objective optimization. Research Focus : Multi-Objective Optimization, Genetic Algorithms, Constraint Handling, Machine Learning-assisted Optimization Key Contributions : Development of NSGA (Non-dominated Sorting Genetic Algorithm) series, hybridization of machine learning with evolutionary algorithms, fidelity evaluation techniques Scientific Accomplishments : With over 347 publications and 19,618 citations, his work on NSGA algorithms has become foundational in evolutionary computation. His recent research explores mixed-fidelity evaluations, innovized knowledge extraction, and neural architecture search.

Joaquim Armando Pires JorgeView profile

Professor

• Computer Graphics
• Virtual Reality
• Human-Computer Interaction
• +5 more

Joaquim Armando Pires Jorge is a Full Professor at Instituto Superior Técnico, University of Lisbon, where he holds the UNESCO Chair on AI & Virtual Reality. He is also an Adjunct Full Professor at Victoria University of Wellington and an Honorary Invited Professor at the Catholic University of Rio de Janeiro. His career spans AI, VR, and human-centered computing, with leadership roles in IEEE Computer Society, ACM/SIGGRAPH, and Eurographics. Teaching: Computer Graphics, VR, and Human-Computer Interaction (HCI) Leadership: IEEE Computer Society Board of Governors (2023–present), ACM Europe Council (2015–2019) Research: 400+ peer-reviewed publications, focusing on VR, AI ethics, and interactive systems Jorge’s research bridges theoretical and applied computing, emphasizing ethical AI, reproducible science, and immersive technologies. His work includes foundational contributions to pseudo-haptics, gamification in education, and 3D user interfaces. He advocates for open science and global collaboration in XR (Extended Reality) development. His publications span topics like NFTs, remote assistance in MR (Mixed Reality), and gamified learning analytics, reflecting a career dedicated to innovation in graphics, interaction, and education. Notable awards include IEEE Fellow (2025), IEEE Golden Core (2024), and IFIP Silver Core (2014). He has supervised 18 doctoral theses and 70+ MSc dissertations, including Pedro Duarte Parreira’s Fraunhofer-winning MSc thesis (2016). As Editor-in-Chief of Computers & Graphics (since 2007) and IEEE Computer Society Publications Board member (2025–present), he shapes academic discourse in computing. Selected Awards IEEE Fellow (2025) Golden Core Award (2024) IFIP Silver Core (2014) Best Paper Award, IEEE CG&A (2011) Fellow, Eurographics Association (2010)

Xiaochun HeView profile

Professor

• High Energy Physics
• Nuclear Physics
• Cosmic Ray Studies
• +3 more

Xiaochun He is a Professor in the Department of Computer Science at Georgia State University, affiliated with the Nuclear Physics Group. Their research focuses on high energy nuclear physics, cosmic ray studies, and detector development for experiments like the Electron-Ion Collider (EIC), particularly through the ECCE detector project. Recent work includes analyzing space weather effects on muon flux, jet substructure in heavy ion collisions, and soil radon gas diffusion validation. Key contributions involve advancing detector technologies (e.g., modular RICH detectors), simulating cosmic ray distributions, and developing frameworks for radiation data analysis. They hold the position at SA 402 with contact at xhe@gsu.edu and are actively involved in global collaborations for space and particle physics research. Research interests integrate computational methods with experimental physics, addressing topics like Bose-Einstein correlations, direct photon measurements, and machine learning applications in data discovery. Ongoing projects include optimizing EIC detector designs and studying gluon spin-momentum correlations in transversely polarized protons.