Find Academic Supervisors

Gonzalo Barluenga BadiolaView profile

Professor

• 3D Printing Materials
• Cement-Based Composites
• Self-Healing Concrete
• +5 more

Gonzalo Barluenga Badiola is a Professor at the Department of Architecture within the School of Architecture at the University of Alcalá. His research focuses on advanced construction materials, including 3D-printable mortars, self-healing concrete, phase change materials (PCM), and nanomaterials for sustainable architecture. He leads the 'Promarq' research group, specializing in architectural projects and building materials. He holds a Ph.D. from the Universidad Politécnica de Madrid (2002), with a thesis on joint systems in facade construction. His research interests emphasize material innovation for energy efficiency, structural health monitoring, and environmental adaptation. Key areas include bio-based composites, thermal/acoustic mortar properties, and the integration of nanotechnology into construction materials. Recent work explores post-fire self-healing mechanisms, PCM-enhanced mortars, and additive manufacturing applications. His publications (2023–2025) highlight advancements in 3D-printed cement-lime mortars, nano-modified self-compacting concretes, and fiber-reinforced composites. He investigates rheological properties of materials at early stages and their structural performance. No scientific awards are explicitly mentioned, but his work is widely cited in sustainable construction and materials science. Grants and collaborations are inferred from his research output, though specific funding details are not provided here. His lab, 'Promarq,' likely focuses on experimental and numerical analysis of building materials. No student advising records are listed in the provided data.

Dan SievenpiperView profile

Professor

• Artificial Media
• Electromagnetic Structures
• Antennas Design
• +5 more

Professor Dan Sievenpiper is a faculty member at the University of California San Diego (UCSD) in the Jacobs School of Engineering, Department of Electrical and Computer Engineering. He joined UCSD in 2010 and leads the Applied Electromagnetics Group. His research focuses on artificial media, electromagnetic structures, and antennas, with applications in metamaterials, plasma physics, and topological insulators. He has over 200 publications and 80 patents, and has held roles including Vice Chair of the ECE Department and membership in the UCSD Admissions Committee. Education: B.S. and Ph.D. in Electrical Engineering from UCLA (1994 and 1999) Research Interests: His work spans artificial media, metamaterials, non-reciprocal devices, and time-modulated surfaces. Recent innovations include photonic topological insulators and plasma-based systems. His group explores applications in antennas, wireless communication, and biomedical neuromodulation. Awards: URSI Isaac Koga Gold Medal (2008) IEEE Fellow (2009) John D. Kraus Antenna Award (2019) Advising & Labs: He supervises a dynamic group of graduate students and postdocs, with over 30 alumni in academia and industry. The Applied Electromagnetics Group collaborates with institutions like HRL Laboratories and the Air Force Research Lab. Service: Past roles include Associate Editor of IEEE Antennas and Wireless Propagation Letters, and Chair of the IEEE Antennas and Propagation Symposium (2017).

Kim O'SullivanView profile

Research Fellow

• Immunology
• Autoimmune Diseases
• Kidney Disease
• +13 more

Dr. Kim O'Sullivan is a Senior Research Fellow and head of the Translational Kidney Therapies Group at the Centre for Inflammatory Diseases (CID), Monash Health Translational Precinct, affiliated with Monash University’s Faculty of Medicine, Nursing and Health Sciences. She holds a PhD in Immunology from Monash University and completed her undergraduate and Master’s studies in Anatomy and Structural Biology at the University of Otago, New Zealand. Her work is centered on developing novel therapies for autoimmune kidney diseases, particularly ANCA-associated vasculitis (AAV), glomerulonephritis, and lupus nephritis. Her research focuses on: Neutrophil Extracellular Traps (NETs) and their role in inflammation Gene therapy using adeno-associated viral vectors to deliver DNase I Therapeutic potential of bacterial exosomes Gut microbiome interactions, especially Muribaculaceae and SCFAs Immune tolerance and host defense preservation Her recent publications (2023–2024) reflect a strong trend in translational immunology, with emphasis on microbiome-immune crosstalk, novel biologics, and gene-based interventions. She has published in high-impact journals such as Frontiers in Immunology , International Journal of Molecular Sciences , and Journal of Immunology . Her scientific contributions have been recognized through several awards: Australian and New Zealand Society of Nephrology Young Investigator Award (Winner, 2016) ANZSN Basic Science Award (Finalist, 2020) Multiple ANZSN Travel Awards (2014, 2016, 2017) Kim O'Sullivan actively supervises Honours and PhD students and leads multiple research projects funded by NHMRC and MRFF. She serves on the ANZSN Scientific Programme and Awards Committee (SPARC), is a Review Editor for Frontiers in Immunology , and sits on the editorial boards of International Journal of Molecular Sciences and Journal of Integrated Medicine in Nephrology and Andrology . She is also a peer reviewer for top journals including Journal of Clinical Investigation and Kidney International . She leads the CID weekly seminar series and chaired the ImmuMON21 symposium. Her commitment to equity in STEM includes mentoring through BrainSTEM and past involvement in the ANZSN Equity, Diversity and Inclusion Committee.

Siegrid LöwelView profile

Professor

• Systems Neuroscience
• Neural Plasticity
• Cortical Development
• +7 more

Siegrid Löwel is a Full Professor of Systems Neuroscience at the University of Göttingen, affiliated with the Department of Systems Neuroscience within the Johann-Friedrich-Blumenbach-Institute for Zoology and Anthropology. She is also a Board Member of the Göttingen Campus Institute for Dynamics of Biological Networks since 2021, highlighting her leadership in interdisciplinary neuroscience research. Her educational background includes a Dr. phil. nat. from the University of Frankfurt am Main, completed under Prof. Wolf Singer at the Max Planck Institute for Brain Research. Her career includes professorships at the University of Jena (2005–2010), a guest professorship at Magdeburg, and a research associate professorship at the University of California, San Francisco. Siegrid Löwel's research focuses on the development and plasticity of neuronal circuits in the mammalian cortex. Her lab employs optical and 2-photon imaging, electrophysiology, and viral gene knockdown to study how experience and learning shape neural networks. Her work has pivotal implications for brain regeneration and rehabilitation after injury or disease. She was among the first to demonstrate that correlated neural activity underlies long-range cortical circuit development—famously summarized as 'neurons that fire together, wire together.' The recent publications reflect a strong focus on structural and functional cortical plasticity, particularly in the visual system. Themes include silent synapses, critical period regulation, optogenetic interventions for blindness, and the impact of environmental enrichment and exercise on neural plasticity. These studies span molecular, cellular, and systems levels, contributing to both basic neuroscience and translational applications. Scientific awards and recognitions include: Hertie Excellence Program Scholarship in Neurosciences (2004–2005) Dorothea Erxleben Guest Professorship, University of Magdeburg (2003–2004) Löwel leads an active research group and is affiliated with the Göttingen Graduate Center for Neurosciences (GGNB) in multiple programs, including Systems Neuroscience and Sensory and Motor Neuroscience. She has secured long-term research support through institutional roles and collaborative networks. While specific grant details are not listed, her sustained publication record and leadership positions indicate robust funding and research activity. Her lab continues to explore mechanisms of neural plasticity with potential clinical applications in stroke recovery, amblyopia, and neurodegenerative conditions. She is associated with the research group homepage: http://systemsneuroscience.uni-goettingen.de .

Danika HillView profile

Research Fellow

• Immunology
• Vaccine Development
• Cellular and Molecular Mechanisms of Immunity
• +5 more

Danika Hill is a Senior Research Fellow in the Department of Immunology and Pathology at Monash University. Her research focuses on understanding cellular and molecular mechanisms of immune responses to vaccination and infection, particularly in T follicular helper cells and germinal center biology. She investigates pathogens such as Group A Streptococcus, malaria, and influenza using advanced techniques like high-parameter flow cytometry and single-cell sequencing. Education: BSc in Biomedical Science (University of Adelaide), PhD (Walter and Eliza Hall Institute). Postdoctoral training at the Babraham Institute (Cambridge) before joining Monash in 2020. Funded by NHMRC CJ Martin Fellowship and Michelson Prize. Recognized as a 'Rising Star in Immunology' by the Norwegian Society for Immunology. Research Interests T follicular helper cell dynamics and germinal center regulation Long-lived antibody responses and vaccine design Age-related immune dysfunction Immune responses to infectious diseases Awards Michelson Prize (2020) Margaret Baird Women in Immunology Award (2022) NHMRC CJ Martin Fellowship (2018) Best Oral presentation awards (2020, 2022) Grants & Projects "Discovering molecular signatures of human T follicular helper cells and antibody-producing B cells" (NHMRC, 2018–2023) "Structure-based antigen design for mRNA vaccines" (2023–2025) Labs/Teams: Leads her own lab at Monash, collaborating internationally on vaccine efficacy and immune mechanisms.

Philip DaviesView profile

Professor

• Intelligence Studies
• Security Studies
• Comparative Intelligence
• +5 more

Professor Philip Davies serves as Professor of Intelligence Studies and Director of the Brunel Centre for Intelligence and Security Studies (BCISS) at Brunel University London's Department of Politics and History within the College of Business, Arts and Social Sciences. A political sociologist specializing in intelligence institution-building, he co-founded BCISS and developed the MA in Intelligence and Security Studies program. His academic journey includes a PhD in Sociology from the University of Reading (1997), MA in Social and Political Thought from York University Canada (1987), and BA (Hons) in Sociology from Trent University Canada (1984). PhD Sociology, University of Reading (1997) MA Social and Political Thought, York University Canada (1987) BA (Hons) Sociology, Trent University Canada (1984) Postgraduate Certificate in Teaching and Learning in Higher Education, Brunel (2006) Davies' research focuses on the organization and governance of intelligence agencies, national intelligence cultures, intelligence professionalization, and doctrine development. His work bridges practical intelligence operations with academic theory, examining how intelligence institutions interact with government machinery, international allies, and defense structures. A pioneer in comparative intelligence studies beyond the Anglosphere, he developed the theory of 'intelligence culture' and has conducted extensive research on UK, US, Indian, and Malaysian intelligence systems. His current work centers on defense and military intelligence concepts, doctrine evolution, and cyber-security policy. Analysis of his 15 most recent publications reveals a dominant trend in comparative intelligence studies with strong emphasis on British and US intelligence systems, expanding to include Malaysia and India. His work consistently examines intelligence politicization, accountability mechanisms, and the practical implementation of intelligence doctrine. The publications demonstrate increasing focus on military intelligence integration (evident in ISTAR/ISR debates) and historical case studies of intelligence failures/successes. Davies has made significant impact through practical applications of his research: Provided foundational input for UK Joint Intelligence Doctrine (JDP 2-00) and JDP 04 Understanding Advised on 2016 Investigatory Powers Act as Home Office consultative panel member Led EU INTCEN's Basic Intelligence Assessment course (2013-2019) Contributed to UK military Joint Intelligence Doctrine development (2010-2012) Delivered impact case studies for REF 2014 and REF 2021 through BCISS As an educator, Davies convenes postgraduate modules on Intelligence Concepts and Counterintelligence, while directing BCISS as a University Interdepartmental Research Centre. His media presence includes regular commentary on intelligence matters for outlets like LBC, particularly regarding the ISC Russia Report and Edward Snowden disclosures. He serves on editorial boards for Intelligence and National Security and International Journal of Intelligence and CounterIntelligence, and chairs the UK Political Studies Association/BISA Security and Intelligence Studies Group.

Yun-Bao JiangView profile

Professor

• Supramolecular photochemical sensing
• Fluorescence chemosensors
• Chiral induction/amplification/memory
• +3 more

Professor Yun-Bao Jiang is a full Professor in the Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, China. Since obtaining his PhD from the same university in 1990 he has built an internationally recognized research programme in supramolecular photochemical sensing, chiral amplification and single-molecule fluorescence spectroscopy, publishing >200 papers and accumulating >7 000 citations. Education BS 1984 – Xiamen University MS 1987 – Xiamen University PhD 1990 – Xiamen University (Advisor: Prof. Chen Guozhen) Research interests Jiang’s group develops photo-induced electron/proton-transfer systems for fluorescence sensing and biomolecular recognition. Core themes include: (i) signal amplification via controlled aggregation; (ii) chiral induction, memory and amplification in helical supramolecular polymers; (iii) single-molecule detection by fluorescence correlation spectroscopy; and (iv) designer chemosensors for saccharides, amino-acids, anions and heavy-metal ions. Recent work Recent articles (2022-2025) exploit π-conjugated molecular tubes, Ag(I)-thiol coordination polymers and peptide-derived azamacrocycles to create unprecedented anti-S-shaped CD-ee correlations, heterochiral β-turn scaffolds and 2-D supramolecular arrays, pushing the envelope of chiral sensing and optical imaging. Honours & awards Ministry of Education Natural Science Second Prize Chinese Chemical Society Young Chemist Award China Youth Science & Technology Award (5th) Fok Ying-Tong Young Teacher Award Fujian “Yunsheng” Youth Science & Technology Award State Council Special Government Allowance Humboldt Foundation Fellowship Volkswagen Foundation Research Grant Fellow of the Royal Society of Chemistry (2014) Grants & advising He currently leads three ongoing NSFC projects (2023-2026) on sub-nanometre Ag + -thiol coordination polymers, 2-D π-tube arrays and precision construction of multi-level chiral materials. A 30-member team (post-docs, PhD and Master candidates) operates in four contiguous laboratories (Rooms 531-538) equipped with home-built nanosecond lifetime spectrometers, FCS setups and modern synthetic facilities. Editorial & outreach roles Jiang serves on the editorial/advisory boards of ACS Sensors , Supramolecular Chemistry , Photochem. Photobiol. Sci. , Analytical Chemistry and several Chinese journals, and is a council member of the Chinese Chemical Society.

Serban RaianuView profile

Professor

• Hopf Algebras
• Quantum Groups
• Algebra
• +5 more

Serban Raianu is a Professor in the Department of Mathematics at California State University Dominguez Hills since 2004. His research focuses on Hopf algebras , quantum groups , and their applications to algebraic structures. He has published extensively on topics such as graded rings , crossed coproducts , and co-Frobenius Hopf algebras , often collaborating with leading mathematicians like S. Dăscălescu and C. Năstăsescu. His work in number theory includes recent studies on arithmetic properties of 3-cycles in quadratic maps (2022), extending the abc conjecture and exploring connections to Diophantine equations . He has also contributed to linear algebra with a 2005 paper on Jordan forms and matrix optimization . Key research contributions: Hopf algebras acting on algebras and coalgebras Quantum groups and their representations Duality theories for finite Hopf algebras Dr. Raianu has received notable scientific awards , including the Gheorghe Titeica Prize from the Romanian Academy (2001) and the first prize in the annual scientific contest for students at the University of Bucharest (1981). He has advised undergraduate research projects on partition problems , harmonic number differences , and Green's theorem applications , supported by grants such as the PUMP Undergraduate Research Grant (2016-2017) and NSF-Cal State grant (2003-2006).

Emese LazarView profile

Professor

• Risk Measurement
• Model Risk
• Financial Econometrics
• +4 more

Professor Emese Lazar serves as Professor of Finance and Deputy School Director of Teaching and Learning at the ICMA Centre, Henley Business School, University of Reading. She joined the institution in 2005 and is an active member of the Econometrics with Data Science research cluster, focusing on quantitative finance applications. Her educational background includes: PhD in Finance from the University of Reading BSc in Finance and Banking from the University of Economic Studies, Bucharest BSc in Computer Science from the University of Bucharest Research interests span risk measurement and management , model risk , financial econometrics , derivatives pricing , green finance , climate risk in finance , and machine learning applications . Her work bridges theoretical finance with practical risk management challenges, particularly in climate-related financial risks and algorithmic risk modeling. Recent publications reveal a pronounced shift toward integrating climate risk metrics with traditional financial models and developing neural network-based forecasting for tail risk measures. Her research demonstrates consistent innovation in volatility modeling, model risk quantification, and climate finance applications across top-tier journals. Professor Lazar teaches postgraduate modules in Market Risk and Climate Change and Risk Management, supervising PhD students in her specialized research areas. She actively contributes to the Econometrics with Data Science research cluster, fostering interdisciplinary collaboration between finance, data science, and climate risk modeling.

• Photonics
• Optoelectronics
• Semiconductor Devices
• +7 more

Lynford L Goddard is a Professor at the University of Illinois at Urbana-Champaign , affiliated with the Grainger College of Engineering and the Department of Electrical and Computer Engineering . He serves as Associate Dean for Diversity, Equity, and Inclusion and previously directed the Institute for Inclusion, Diversity, Equity, and Access. His work bridges photonics, semiconductor devices, and nanofabrication with applications in sensing, metrology, and data processing. Education: PhD in Physics with minor in Mathematics, Stanford University (2005) His research interests focus on photonic systems for sensing and computation. The Photonic Systems Laboratory develops advanced fabrication techniques for lithium niobate modulators , 3D photonic integrated circuits , and gradient index optics , with applications in hydrogen detection , CO2 sensing , and optical metrology . Recent work explores volumetric photonic integration and machine learning applications in nanophotonics. Key publication trends span photonics-based sensing , high-precision metrology , and novel fabrication methods , emphasizing thin-film lithium niobate and 3D photonic structures . His awards include Presidential Early Career Award (PECASE) NSF CAREER Award OSA and SPIE Fellowships IEEE Senior Member As an educator , he has received multiple teaching recognitions and leads courses like ECE 329: Fields and Waves I . His patents cover innovations in photochemical etching , photonic nanojets , and 3D optical integration . Current projects include SCRIBE technology for micro-printing and DEI initiatives through the IDEA Institute.

• Autophagy
• Lysosomes
• Neuroinflammation
• +5 more

Marta Lipinski is an Associate Professor in the Department of Anesthesiology at the University of Maryland School of Medicine . She is also affiliated with the Shock, Trauma and Anesthesiology Research (STAR) Center , the Center for Stem Cell Biology and Regenerative Medicine , and the Center for Biomolecular Therapeutics . Her research focuses on the role of autophagy and lysosomal function in neurotrauma and neurodegenerative diseases . PhD in Cancer Biology, MIT Postdoctoral training at Harvard Medical School Her research keywords include Autophagy , Lysosomes , Neuroinflammation , Lipid Metabolism , Traumatic Brain Injury , Spinal Cord Injury , and Brain Aging . She investigates how autophagy disruption after CNS injury contributes to neuroinflammation and neuronal death , with recent work exploring the link between TBI and late-onset neurodegeneration as well as autophagy-lipid metabolism interactions . Her collaborative network spans departments and institutions, including Junfang Wu (Anesthesiology), Eugene Koh (Orthopaedics), Maureen Kane (School of Pharmacy), and Michael Cummings (UMD College Park). Active grants include NIH R33 AG076858 and R01 NS115876 , focusing on multi-omics platforms for brain aging and autophagy modulation in TBI.

Nan ChenView profile

Associate Professor

• Applied Mathematics
• Uncertainty Quantification
• Data Assimilation
• +7 more

Nan Chen is an Associate Professor at the Department of Mathematics, University of Wisconsin-Madison, and a faculty affiliate of the Institute for Foundations of Data Science (IFDS), a multi-University TRIPODS Phase II Initiative. His research spans applied mathematics with applications in atmosphere-ocean science, climate dynamics, and data science. Education: PhD from Courant Institute of Mathematical Sciences (CIMS) and Center of Atmosphere and Ocean Science (CAOS), New York University (NYU), May 2016 Postdoc research associate at CIMS, NYU (June 2016-May 2018) Master's degree from School of Mathematical Sciences, Fudan University, Shanghai Undergraduate in Mechanical Engineering, Fudan University, Shanghai Visited Department of Scientific Computing at Florida State University working with Dr. Max Gunzburger and Dr. Xiaoming Wang Nan Chen's research focuses on contemporary applied mathematics, particularly modeling complex systems, stochastic methods, numerical algorithms, and data science. He specializes in uncertainty quantification (UQ), data assimilation, and developing statistically accurate algorithms to address the curse of dimensionality in large-dimensional complex dynamical systems with strong non-Gaussian features. His work has significant applications in atmosphere-ocean science, including predicting phenomena such as the Madden-Julian Oscillation (MJO), monsoons, El Niño Southern Oscillation (ENSO), and sea ice dynamics. He has also extended his research to material science, neuroscience, and other complex systems. His recent publications demonstrate expertise in inverse problems, wave equations, numerical methods, and data compression techniques that blend mathematical theory with practical applications. Dr. Chen has authored a book titled "Stochastic Methods for Modeling and Predicting Complex Dynamical Systems --- Uncertainty Quantification, State Estimation, and Reduced-Order Models" published by Springer, and a tutorial paper "Taming Uncertainty in a Complex World: The Rise of Uncertainty Quantification — A Tutorial for Beginners" in the Notices of the AMS. Professional Activities: Organizing "Data Meets Dynamics: Workshop on Data Assimilation for Complex Systems and Applications" (August 21-22, 2025) Author of two articles in Elsevier's Reference Module in Earth Systems and Environmental Sciences Participant in Wisconsin Science and Computing Emerging Research Stars (WISCERS) program Judge for Outstanding Student Paper Award (OSPA) program at American Geophysical Union (AGU) fall meetings Involved in Madison Experimental Mathematics Lab (MXM Lab) Dr. Chen actively mentors undergraduate students for research during semesters and summers, encouraging them to present at the UW undergraduate symposium. He also offers reading and independent study courses for interested undergraduates. He is currently seeking highly motivated PhD students to join his research group with possible Research Assistantship support.

Dragoljub J. KecskicView profile

Professor

• Operator Theory
• C*-algebras
• Fixed Point Theory
• +3 more

Dragoljub J. Kecskic is a Full Professor at the Department of Mathematical Analysis, Faculty of Mathematics, University of Belgrade . He has held this position since 2019, following progressive academic appointments from trainee assistant (1995–1999) to associate professor (2013). His research focuses on Operator Theory on Hilbert Spaces , C*-algebras , and related subfields. Education: BSc in Theoretical Mathematics and Applications (1995, University of Belgrade) MSc in Elementary Mappings on Operator Ideals (1998) PhD in Elementary Operator Kernels and Images (2003) His research interests span operator theory, functional analysis, fixed point theory, and integral transforms. Key areas include orthogonality in operator spaces, elementary operator structures, and applications of fixed point theorems in mathematical analysis. The 15 most recent articles highlight a sustained focus on operator algebras (2023: C*-algebra orthographs; 2018: compact operators), fixed point theory (2012: symmetric spaces; 2010: quasi-contraction counterexamples), and functional inequalities (2019: noncompactness measures; 2005: Gateaux derivatives). Collaborations with Z. Lazović, I. Aranđelović, and S. Stefanović are prominent. No scientific awards or grants are explicitly mentioned in the provided texts.

• Fluid structure interaction
• Calculus of Variations
• Partial differential equations
• +1 more

Malte Laurens Kampschulte serves as Assistant Professor at the Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles University in Prague. He leads research within S. Schwarzacher's fluid structure interaction group and the OP JAK project FerrMion, following his role as Substitute Professor at the University of Leipzig during Summer 2024. His academic credentials include: B.Sc in Mathematics (2009) and Computer Science (2010) from RWTH Aachen M.Sc in Mathematics (2012) from RWTH Aachen Ph.D. in Mathematics (2018) with thesis "Gradient flows and a generalized Wasserstein distance in the space of Cartesian currents" Dr. Kampschulte's research centers on fluid structure interaction, calculus of variations, partial differential equations, and geometric measure theory. His work examines variational aspects of Eulerian-Lagrangian frameworks, relaxation methods for generalized solutions, topological invariants in PDEs, and current transport on manifolds. This integrated approach bridges theoretical analysis with physical applications in continuum mechanics. Analysis of his 2023-2024 publications reveals concentrated focus on three-dimensional fluid-structure systems with viscoelastic solids, compressible fluids, and self-collision phenomena. Key contributions include global weak solution frameworks for contact problems, variational approaches to hyperbolic evolutions, and regularity analysis for free surface dynamics—demonstrating both mathematical rigor and physical relevance. As Principal Investigator for the PRIMUS grant "Qualitative and quantitative Analysis for non-linear non-uniformly elliptic models" (previously held by Anna Balci), he oversees active research funding while mentoring through an open PostDoc position. His leadership extends to the FerrMion project where he develops mathematical frameworks for fluid-matter interactions. Based in the Department of Mathematical Analysis at Charles University, Dr. Kampschulte collaborates within S. Schwarzacher's research group to advance mathematical understanding of fluid-structure systems through both theoretical innovation and computational modeling.

• Experimental Seismology
• Seismic Tomography
• Seismic Anisotropy
• +7 more

Joachim Ritter is apl. Professor of Geophysics at the Karlsruhe Institute of Technology (KIT) , Geophysical Institute (GPI). He has been with KIT since 2002, after completing his habilitation at the University of Göttingen. His research integrates experimental seismology with field experiments across Europe and Africa. Education Diplom in Geophysics, University of Karlsruhe (TH), 1985–1991 Doctorate (Dr. rer. nat.), Faculty of Physics, University of Karlsruhe, 1996 Habilitation, Faculty of Physics, University of Göttingen, 2002 Research Interests Ritter’s work spans experimental seismology , seismic tomography , seismic anisotropy , and induced seismicity . He operates mobile broadband arrays to image Earth’s interior, studies deformation in the mantle and lithosphere, and monitors volcanic regions such as the Eifel volcanic field and the East African Rift. Additional foci include wind-turbine-induced ground motion and urban seismology . Publication Trends Recent publications (2022–2025) concentrate on volcano-seismic monitoring in Germany and Greece, wind-energy seismic emissions , shear-wave splitting beneath Central Europe, and fault imaging of active tectonic zones. The breadth reflects both methodological advances and targeted regional studies. Scientific Awards 2017 Faculty Teaching Award, KIT Advising & Committees Ritter has supervised numerous master theses and PhD projects, and he leads the KArlsruhe BroadBand Array (KABBA). He has served on national and international committees including the European Seismological Commission, AlpArray Science Council, and the German Geophysical Society Board. Labs & Teams He heads the Working Group on Analysis of Wind Turbines and previously acted as Spokesperson for the KIT Competence Field "Geosphere and Risk Management". His team operates dense seismological networks across Germany and Europe.