Find Academic Supervisors

Claudia Rawn is a Research Professor and Joint Faculty Member in the Department of Materials Science and Engineering at the University of Tennessee, Knoxville (UTK), affiliated with the Tickle College of Engineering. She is also a Senior Research Staff Member at Oak Ridge National Laboratory (ORNL). Her research focuses on neutron and X-ray diffraction techniques, ceramic synthesis, crystal structure analysis, and thermophysical properties of materials, with notable contributions to gas hydrates, biomaterials, and phase transition studies. Education: PhD in Materials Science and Engineering, University of Arizona (1995) MSc in Chemistry, George Mason University (1991) BSc in Materials Engineering, Virginia Tech (1986) Research Interests: Dr. Rawn’s work integrates experimental and computational methods to explore material behavior. Key areas include: Neutron/X-ray diffraction for in-situ structural analysis Phase transitions in ceramics and metallic alloys Biomimetic synthesis of nanomaterials (e.g., hydroxyapatite composites) Gas hydrate formation/decomposition mechanisms Thermal expansion and microstructural evolution in additively manufactured materials Awards: 2019, 2013, 2012 MSE Excellence in Service Award 2017 TCE Outstanding Faculty Advisor 2006 UTK Outstanding Young Researcher (Materials Science) ASM International Fellow Advising & Grants: Advises graduate students in materials science and collaborates on projects funded by DOE, NASA, and NSF. Leads educational outreach through the UT Materials Advantage Chapter and co-organizes ASM’s annual Materials Camp for K-12 students. Labs & Collaborations: Active in ORNL’s Materials Science and Technology Division, focusing on neutron scattering and advanced characterization. Serves on editorial boards for crystallography journals and professional committees.

• Neutron and X-ray diffraction
• Ceramic synthesis
• Structure-property relations
• +6 more

Dr. Hanqing Jin is an Associate Professor in the Mathematical Institute at the University of Oxford, specializing in Mathematical Finance and Applied Stochastic Analysis. His research focuses on investor decision-making under non-utility behavior, dynamic portfolio optimization, and stochastic control problems in financial markets. Prior to Oxford, he held an Assistant Professorship at the National University of Singapore. He has contributed to foundational work on mean-variance portfolio selection, behavioral finance, and the application of stochastic processes to financial modeling. His academic background includes extensive work on continuous-time portfolio optimization, risk management frameworks, and the intersection of behavioral economics with quantitative finance. Notable contributions include studies on optimal lockdown policies during pandemics, blockchain consensus algorithms analysis, and the development of novel biomarker detection techniques using Raman spectroscopy. Dr. Jin's research integrates advanced mathematical techniques with real-world financial challenges, bridging theoretical models with practical applications in areas such as robo-advising systems and cryptocurrency frameworks. His work on transaction cost analysis and dynamic mean-variance strategies has been widely cited in both academic and industry contexts.

• Mathematical Finance
• Stochastic Analysis
• Portfolio Optimization
• +3 more

Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +3 more

Robert Szafron serves as a Scientist in the High Energy Theory group at Brookhaven National Laboratory's Physics Department since 2021, having progressed from Assistant Scientist (2021-2022) to Associate Scientist (2023-2024) before attaining his current position in 2025. Prior to BNL, he held research appointments at CERN (Senior Research Fellow, 2019-2020), TU Munich (Postdoctoral Fellow, 2016-2019), and the University of Alberta (Postdoctoral Fellow, 2012-2016). His research centers on theoretical high-energy physics with core expertise in collider physics , precision computations , and effective field theories . Specialized areas include bound state physics, QCD and QED corrections, power corrections, and gravitational soft theorems. His methodological approach combines advanced perturbative techniques with resummation methods to address precision Standard Model calculations and beyond-Standard-Model phenomena. Analysis of his publication record (2011-2023) reveals consistent contributions to leading journals like Journal of High Energy Physics and Physical Review Letters, with recent work focusing on N3LO cross sections, muon g-2 anomalies, subleading-power corrections in B-physics, and wino dark matter calculations. His research demonstrates strong international collaboration patterns and addresses critical precision frontiers in particle physics. No scientific awards were mentioned in the available documentation. Information regarding student advising, research grants, or specific mentorship activities was not provided in the source materials. Szafron operates within Brookhaven National Laboratory's High Energy Theory group, a U.S. Department of Energy national lab facility specializing in theoretical particle physics. His work contributes to BNL's broader mission in advancing fundamental understanding of particle interactions through rigorous mathematical frameworks and computational techniques.

• Collider Physics
• Precision Computations
• Effective Field Theories
• +4 more

Claudia Weidenthaler , now an Associate Professor at the University of Duisburg-Essen and group leader at the Max Planck Institut für Kohlenforschung , is renowned for her work in heterogeneous catalysis and materials science . Her research focuses on structure-property relationships of functional materials using in situ diffraction and X-ray spectroscopy . Studied geology, mineralogy, and crystallography at the University of Würzburg Completed her doctorate under Reinhard X. Fischer at the University of Mainz Postdoctoral work at the Universities of Bremen and Frankfurt Moved to Max Planck Institute in 1999, establishing solid-state analytics Her research spans mechanochemical synthesis , energy storage materials (e.g., aluminum hydrides), and solid-state transformations . Recent work includes CO2 hydrogenation , nanoparticle characterization , and metal phosphide synthesis . In 2023, she was honored with the Agricola Medal for her contributions to applied mineralogy. She actively promotes equal opportunities and science outreach as an Equal Opportunities Officer and coordinator of the institute's "Girls' Day" initiative. Advisees include PhD candidates Christos Sidiropoulos and Teja Yanamandram Recipient of the Agricola Medal (2023) Developed unconventional methods combining mechanosynthesis with synchrotron X-ray diffraction Her publications highlight in situ/operando methods for studying catalysts under real conditions, with applications in hydrogen storage , electrocatalysis , and nanomaterials .

• Heterogeneous Catalysis
• Materials Science
• Crystallography
• +3 more

Tade Souaiaia serves as Assistant Professor of Cell Biology at SUNY Downstate Health Sciences University's School of Graduate Studies. His research integrates computational biology with mental health investigations, focusing on gene expression dynamics in development and psychiatric disorders. He teaches graduate-level statistics and algorithm analysis courses delivered virtually via YouTube. Dr. Souaiaia's primary research centers on computational method development for multi-omics integration (gene expression, isoform-level data, microRNA, ChIP-Seq) to unravel schizophrenia etiology. His secondary research applies kinematic modeling to athletic performance (sprint/long jump), connecting cellular mechanisms with environmental training models. This dual focus bridges molecular neuroscience with practical biomechanics applications. Analysis of his 2020-2025 publications reveals three dominant research trajectories: (1) Psychiatric genetics through multi-ancestry studies of autism/schizophrenia, (2) Polygenic risk score innovation (notably BridgePRS for cross-ancestry portability), and (3) Primate neurogenomics investigating anxious temperament via orbitofrontal cortex and amygdala transcriptomics. His work consistently emphasizes translational applications of computational genomics to mental health. No scientific awards were documented in the provided materials. Dr. Souaiaia teaches Scientific Computing in Python (GRSC 6974) and Graduate Statistics (GRSC 0120), with virtual instruction accessible on YouTube. While specific grant details and student advising records are unreported, his laboratory actively develops computational frameworks for psychiatric genomics. His research program demonstrates strong interdisciplinary collaboration between neuroscience, psychiatry, and bioinformatics teams. He leads a research laboratory specializing in computational analysis of multi-omics datasets, with particular emphasis on primate brain tissue studies. The lab develops novel algorithms for integrating genomic, transcriptomic, and epigenomic data to model mental health disorders, maintaining active partnerships with neuroscience and clinical psychiatry research groups.

• Computational Biology
• Gene Expression Analysis
• Schizophrenia Research
• +5 more

PD Dr. Frieder Ladisch serves as an Associate Professor at the Institute for Mathematics within the Faculty of Mathematics and Natural Sciences at the University of Rostock, Germany. His institutional affiliation includes membership in the Geometry working group (AG Geometry), with office location at Ulmenstraße 69, Haus 3, Room 231, and contact via university email and phone. His research program centers on Quantum Physics and Quantum Information , with specialized expertise in: Non-Hermitian quantum systems and PT-symmetry phenomena Topological photonic implementations including Su-Schrieffer-Heeger lattices Non-Abelian geometric phases and quantum holonomy Quantum random number generation using solid-state photon sources Experimental quantum optics with integrated photonic circuits Analysis of his 15 most recent publications (2019-2025) reveals consistent focus on PT-symmetry breaking experiments, quantum walk implementations in topological photonic structures, and quantum random number generation using hexagonal boron nitride emitters. His work bridges theoretical non-Hermitian quantum mechanics with practical photonic implementations. Dr. Ladisch operates within the Geometry working group at Rostock's Institute for Mathematics, where his research integrates mathematical geometry concepts with quantum information processing through photonic chip technologies and single-photon source applications.

• Quantum Physics
• Quantum Information
• Photonics
• +2 more

Nikos Varelas serves as Senior Vice Provost for Academic Programs, Student Success, and Effectiveness and LAS Distinguished Professor of Physics at the University of Illinois Chicago (UIC), within the College of Liberal Arts and Sciences Department of Physics. His leadership spans institutional administration and international particle physics collaborations. His academic foundation includes a PhD in Physics from the University of Rochester (1994) and a BS in Physics from the University of Athens (1985). Prof. Varelas' research centers on experimental high energy particle physics , specializing in precision Quantum Chromodynamics (QCD) measurements and searches for physics beyond the Standard Model. His work investigates dark matter candidates, extra spatial dimensions, quantum black holes, and Higgs boson properties through the CMS experiment at CERN's Large Hadron Collider. As a key contributor to the 2012 Higgs boson discovery, his group developed critical CMS trigger systems including the Level-1 Calorimeter and High-Level Trigger. Recent publications reveal intense focus on top quark physics, Higgs characterization, and QCD precision measurements using advanced machine learning techniques. His work leverages full LHC datasets to probe new physics signatures while refining Standard Model parameters through multidifferential cross-section analyses. His scientific recognition includes: Fellow of the American Association for the Advancement of Science University of Illinois Scholar Senior Fellow of the LHC Physics Center at Fermilab Prof. Varelas has held pivotal roles including CTEQ Collaboration co-spokesperson, American Physical Society Division of Particles and Fields Executive Committee member, and Fermilab Users Executive Committee Chair. As current President of the Association for Undergraduate Education at Research Universities and Noble Schools Board Director, he demonstrates deep commitment to academic leadership beyond research. His Senior Vice Provost role underscores institutional impact on student success initiatives. He leads the UIC High Energy Particle Physics Group within the CMS collaboration, driving technical innovations in trigger systems while mentoring next-generation physicists through cutting-edge LHC research.

• Particle Physics
• High Energy Physics
• Experimental High Energy Physics
• +5 more

Professor Viktoria Stray is a leading figure in agile software development at the University of Oslo 's Department of Informatics and serves as a senior researcher at SINTEF Digital . With over 15 years at UiO and 8 years at SINTEF, she combines academic rigor with industry expertise in large-scale agile transformations. Her work bridges empirical software engineering, generative AI integration, and coordination mechanisms in distributed teams. PhD in Informatics (2014), MSc in Computer Engineering (2007) Executive Guest Editor for Information and Software Technology special issue on Generative AI Her research focuses on: Generative AI in developer workflows Large-Scale Agile coordination Autonomous Teams dynamics Human Factors in software testing Digital Transformation in public sector Recent publications analyze trends in agile coaching, hybrid team communication, and empirical studies on coordination mechanisms. She supervises numerous PhD and master's students while teaching large cohorts in courses like IN2000 (680+ students). As Deputy Head of Department and leader of the Gemini Center for Software Engineering, she shapes both institutional and industry-wide practices.

• Agile Software Development
• Generative AI
• Coordination in Distributed Teams
• +7 more

Christopher M. Moretti is a Senior Lecturer in the Department of Computer Science at Princeton University's School of Engineering and Applied Science. He has taught foundational courses including COS126 (Introduction to Computer Science), COS217 (Systems Programming), COS326 (Functional Programming), and COS333 (Software Engineering) since joining Princeton in 2010. He serves as academic advisor for computer science majors (classes of 2017, 2021, 2024) and freshman engineering students (classes of 2016, 2017), and holds the role of department placement officer. His educational background includes: Ph.D. in Computer Science and Engineering, University of Notre Dame (2010) M.S. in Computer Science and Engineering, University of Notre Dame (2007) B.S. in Computer Science, College of William and Mary (2004) Dr. Moretti's research centers on Computer Science Education and Distributed Computing and Storage . In education, he develops advanced K-12 professional development content and innovative teaching methodologies. His distributed systems work focuses on scalable frameworks for campus grids, cloud computing, and storage solutions like the Chirp filesystem. He directs undergraduate independent work projects across distributed computing, sports analytics, and software engineering. His publication history reveals consistent contributions to practical distributed systems infrastructure, with recent emphasis on educational applications and bioinformatics scalability. Key themes include abstraction layers for heterogeneous computing environments and pedagogical approaches for complex CS concepts. He has received significant recognition for teaching excellence: SEAS Excellence in Teaching Award (2024) SEAS Excellence in Teaching Award (2023) Dr. Moretti actively mentors undergraduate researchers through independent work projects, though specific student names are not documented. His grant activities likely support distributed systems research and educational initiatives, though explicit funding details are absent from the source material. He maintains strong connections to the Cooperative Computing Lab from his Notre Dame doctoral work under Professor Doug Thain. Outside academia, he participates in Princeton sports culture (particularly hockey), enjoys tennis and trivia competitions, and travels with a focus on zoological institutions. A Notre Dame athletics enthusiast, he previously contributed to sports statistics and media relations during graduate studies.

• Computer Science Education
• Distributed Computing
• Storage Systems
• +1 more

Ewelina Rupnik is a prominent researcher in photogrammetry and remote sensing, currently holding a researcher position at the Laboratory on Geographic Information Science (LaSTIG) at the French National Institute of Geographic and Forest Information (IGN) since 2017. She also serves as an associate researcher at the Paris Institute of Earth Physics (IPGP). Rupnik has established herself as a leading expert in historical imagery processing, neural radiance fields, and bundle adjustment techniques. Her educational background includes a PhD in photogrammetry from the Vienna University of Technology (2015), an MSc in Engineering in Photogrammetry from AGH University of Science and Technology, Poland (2005-2010), and an Erasmus exchange at the Technische Universitaet Muenchen, Germany (2009/2010). She recently completed her Habilitation from Université Gustave Eiffel in June 2025. Rupnik's research focuses on advancing photogrammetric techniques for processing historical imagery, developing novel neural radiance field approaches for satellite imagery, and improving bundle adjustment methodologies. Her work bridges traditional photogrammetry with modern deep learning techniques, particularly in the context of sparse satellite views and historical multi-epoch imagery. She has made significant contributions to the open-source MicMac photogrammetry software project. Her recent publications demonstrate a strong trend toward integrating deep learning with traditional photogrammetric methods, with a particular emphasis on satellite and historical imagery analysis. The research spans from fundamental algorithm development (like SparseSat-NeRF and Pointless Global Bundle Adjustment) to practical applications in earth sciences (landslide, earthquake, and glacier volume mapping). 2022 EuroSDR PhD Award for Corona satellite imagery processing Best Paper Award for BRDF-NeRF research Outstanding Reviewer at CVPR 2025 Rupnik actively contributes to the academic community through editorial and leadership roles, including serving as Editor-in-Chief of the French Journal for Photogrammetry and Remote Sensing (2021-2025), Advisory Board Member of the International Journal of Photogrammetry and Remote Sensing (2024-present), and Co-chair of the ISPRS Working Group on Image Orientation and Sensor Fusion (2022-2026). She regularly teaches at Université Paris Cité & ENSG (~30 hours/year since 2015) and has conducted numerous workshops worldwide on photogrammetry with historical images and MicMac software.

• Photogrammetry
• Pose Estimation
• Image-based 3D Reconstruction
• +7 more

Dr. Anna Louise Smith is an Associate Professor in the Reactor Physics and Nuclear Materials section at the Radiation Science and Technology department of Delft University of Technology (TU Delft). She is a physical chemist and materials scientist specializing in nuclear materials, with expertise in both experimental and computational approaches to studying advanced nuclear fuel systems. Dr. Smith earned her "diplôme d'ingénieur" from Chimie ParisTech in 2011, conferring a Master of Science in Chemistry and Chemical Engineering. She simultaneously completed an M.Phil. in Advanced Chemical Engineering from the University of Cambridge. She received her PhD in Materials Science and Metallurgy from Cambridge in 2015, after spending three years at the Joint Research Centre in Karlsruhe, Germany, where she developed expertise in nuclear fuel chemistry and chemical thermodynamics of actinide materials. Her research focuses on the chemistry of advanced nuclear fuels, including ceramics (oxides) and molten salts (fluorides and chlorides), with particular interest in structure-property relationships. She combines experimental and computational studies to investigate physico-chemical properties from atomic to macroscopic scales, with applications to next-generation nuclear reactor technologies emphasizing safety and sustainability. Her current interests include the chemistry of fission products in oxides and molten salts, interaction chemistry between fuel, coolant, and cladding materials, and corrosion issues at high temperatures in nuclear reactor environments. Analysis of Dr. Smith's recent publications (2022-2025) reveals a strong focus on thermodynamic properties of molten salt systems, particularly those relevant to nuclear fuel cycles. Her work spans fundamental studies of actinide chemistry in molten fluorides and chlorides, corrosion mechanisms between molten salts and structural materials, and the development of thermodynamic models for complex multi-component systems essential for molten salt reactor design. She has made significant contributions to understanding the behavior of thorium-based fuel systems and corrosion products in high-temperature environments. Dr. Smith has established a research team and laboratory at TU Delft specifically designed for handling uranium and thorium materials. Her work contributes to several major European projects focused on advanced nuclear technologies, including the MIMOSA and ENDURANCE projects that explore the safety and performance of molten salt reactors for deployment in the European Union. She collaborates extensively with researchers across Europe and has published over 50 research outputs including articles, book chapters, and review papers.

• Nuclear materials chemistry
• Experimental thermodynamics
• Computational thermodynamics
• +9 more

Dr. Veronika Kuchta is an Assistant Professor at Florida Atlantic University's Department of Mathematical Sciences, specializing in post-quantum cryptography and its applications to blockchain. She holds a PhD in applied cryptography from the University of Surrey (2016) and has held roles including Honorary Research Fellow at The University of Queensland (UQ) School of Mathematics and Physics (2020–2022), Research Fellow at Monash University (2018–2020), and postdoc at Université libre de Bruxelles (2016–2018). Education: PhD in Applied Cryptography, University of Surrey, UK (2016) Diploma in Mathematics, Heidelberg University, Germany (2010) Research Interests: Her work focuses on constructing quantum-resistant cryptographic primitives, including lattice-based schemes, zero-knowledge proofs, and their integration into real-world systems like blockchain. She explores topics such as post-quantum verifiable random functions, cryptographic accelerators, and privacy-preserving authentication protocols. Key Projects: Formal Verification of Post-Quantum Cryptographic Primitives (UQ Cyber Seed Funding, 2021–2023) Algorand Centre of Excellence on Sustainability Informatics (2022–2023) Grants & Funding: Noted for contributions to blockchain security and lattice-based protocols, her work is supported by industry and institutional grants, including the Monash University Open Grant for the Algorand Centre of Excellence. Labs/Teams: Collaborates with interdisciplinary teams on cryptographic protocol design and hardware-accelerated cryptography (e.g., TPU-based cryptographic acceleration).

• Post-Quantum Cryptography
• Mathematical Cryptography
• Blockchain Security
• +3 more

Morten S. Risager is a Professor in the Department of Mathematical Sciences at the University of Copenhagen. His research focuses on intersections of analytic number theory , automorphic forms , and mathematical physics , particularly in quantum chaos and hyperbolic geometry . He has held positions at Aarhus University and the Institute for Advanced Study, Princeton. Education: Ph.D. in Mathematics (2003, University of Aarhus), M.Sc. in Mathematics (2001, University of Aarhus). Research interests include modular symbols , Eisenstein series , lattice counting problems , and Selberg's conjecture . His recent work analyzes equidistribution in hyperbolic groups and spectral deformations. Publications (2014–2025) cover topics like shifted convolution sums , iterated integrals of modular forms , and hyperbolic circle problems . Collaborations with Petridis and Nordentoft highlight trends in spectral theory and number theory. Scientific awards : Steno Research Fellow (2005–2008) at Aarhus University. Teaching areas encompass linear algebra , analysis , elliptic curves , and analytic number theory .

• Analytic Number Theory
• Spectral Theory for Automorphic Forms
• Spectral Deformations
• +7 more

Lauren O'Connell is an Associate Professor in the Department of Biology at Stanford University, where she investigates how genetic and environmental factors contribute to biological diversity and adaptation. Her research focuses on the neural basis of parent-offspring communication, spatial cognition evolution, and toxin sequestration mechanisms in amphibians. She earned her Ph.D. in Cellular and Molecular Biology from the University of Texas at Austin (2011) B.S. in Biological Sciences from Cornell University (2006) A.A. in Natural Sciences from Tarrant County Community College (2004) Research interests span evolutionary neuroscience and physiology, particularly exploring: Neural mechanisms of parent-offspring communication in poison frogs Spatial cognition evolution in amphibians Physiological adaptations for chemical defense acquisition Vertebrate pair bonding mechanisms Her work integrates field studies in Ecuador, Madagascar, and Australia with laboratory experiments on brain function and toxin metabolism. Recent publications highlight innovations in Amphibian electrophysiology methods Microbiome interactions with alkaloids Neural correlates of social behavior Chemical defense ecology Scientific honors include 2023 Camille Dreyfus Teacher-Scholar Award 2018 Frank A. Beach Award 2015 For Women in Science Fellowship 2013 Capranica Prize 2012 Young Investigator Award 2011 Early Career Award She mentors a diverse team across multiple projects, emphasizing inclusivity and equity in science training programs. Her lab supports community college students through NSF-funded initiatives and engages in international collaborations with institutions like Flinders University and Centro Jambatu.

• Evolutionary Neuroscience
• Physiology
• Chemical Ecology
• +4 more