Find Academic Supervisors

• Hydrometeorology
• Tropical Meteorology
• Climate Modeling
• +3 more

Dr. Marlon Maranan is a postdoctoral researcher at the Institute for Meteorology and Climate Research - Tropospheric Research (IMKTRO) , Karlsruhe Institute of Technology (KIT). His work focuses on hydrometeorology, tropical meteorology, and climate modeling, particularly in West African regions. He leads research on rainfall patterns, extreme weather events, and climate data validation. Education: PhD in Meteorology and Climate Research from Karlsruhe Institute of Technology (KIT) via his 2019 dissertation on "Rainfall types over southern West Africa". Dr. Maranan's research spans tropical rainfall dynamics, mesoscale convective systems, and satellite precipitation estimation. He investigates how tropical waves influence rainfall modulation, droughts, and heatwaves, with a focus on West Africa's monsoon systems and climate variability. His recent publications highlight advancements in geostatistical simulation of rainfall fields, validation of satellite data (GPM IMERG), and benchmarking ensemble precipitation forecasts. Key subfields include storm classification, coastal pollutant transport, and interactions between convection and moist vortices. Dr. Maranan has contributed to the DACCIWA project, analyzing radiosonde data's impact on weather models and exploring atmospheric-aerosol-chemistry-cloud interactions. He utilizes data from conferences and field campaigns to refine climate predictions. Collaborative efforts with institutions like the American Meteorological Society and European Geosciences Union are evident through conference presentations and peer-reviewed journals. His work bridges observational data with climate modeling to improve regional weather forecasting.

Lindsey KuperView profile

Assistant Professor

• programming languages
• distributed computing
• concurrency
• +5 more

Lindsey Kuper is an Assistant Professor in the Computer Science and Engineering Department at the Baskin School of Engineering, University of California, Santa Cruz. Her research bridges programming languages, distributed systems, and software verification with a focus on developing programming-language-based approaches to building concurrent and distributed software systems that are elegant, correct, and efficient. Her research interests center around programming languages, distributed computing, concurrency, parallelism, and software verification. Recent projects include library-level choreographic programming (in Haskell, Rust, and TypeScript), dependently-typed diagrams for inductive reasoning about concurrent executions, and expressing and verifying causal message delivery with refinement types. Her group's research has been supported by an NSF CAREER Award, a Stellar Development Foundation Academic Research Grant, a Google Faculty Research Award, and a gift from Amazon Web Services. She leads the CASL (Concurrency and Safety Lab) group, part of the larger Languages, Systems, and Data (LSD) Lab at UC Santa Cruz. NSF CAREER Award Stellar Development Foundation Academic Research Grant Google Faculty Research Award ICFP 2023 Distinguished Paper Award Professor Kuper advises multiple PhD students including Jonathan Castello, Tim Goodwin, Nathan Liittschwager, Patrick Redmond, Gan Shen, and Yan Tong. She previously supervised MS student Shun Kashiwa (who completed his thesis on ChoRus in 2024) and BS student Ali Ali (who graduated in 2024). She teaches courses including Foundations of Programming Languages, Distributed Systems, and Programming Abstractions at UC Santa Cruz. The CASL research group (which stands for Concurrency and Safety Lab, Creative, Ambitious Systems and Languages, or other creative expansions) focuses on building reliable distributed systems through programming language techniques. The group's work emphasizes safety, correctness, and efficiency in concurrent and distributed programming contexts.

• Transfusion Medicine
• Blood Banking
• Immunohematology
• +5 more

Robert S. Makar, MD, PhD is Associate Professor of Pathology at Harvard Medical School and Director of the FDA-licensed Blood Transfusion Service at Massachusetts General Hospital (MGH). He concurrently serves as Associate in Pathology at MGH, where he oversees a multi-disciplinary team responsible for transfusion support, therapeutic apheresis, and histocompatibility testing across the hospital’s transplant, trauma, cardiac surgery, and oncology programs. Education & Certification MD – UT Southwestern Medical School Residency – Massachusetts General Hospital, Pathology Fellowship – Massachusetts General Hospital, Blood Banking / Transfusion Medicine Board Certified – Blood Banking/Transfusion Medicine, American Board of Pathology Board Certified – Clinical Pathology, American Board of Pathology Research Interests Dr. Makar’s laboratory and translational research focuses on three interconnected themes: (1) immunologic mechanisms driving HLA and red-cell alloimmunization following transfusion; (2) evidence-based screening strategies to mitigate transfusion-related acute lung injury (TRALI); and (3) clinical translation of cellular immunotherapies—particularly CAR-T cells—for autoimmune and malignant diseases. His group integrates high-resolution HLA typing, cellular immunology assays, and large-scale transfusion databases to refine risk prediction models and to design safer blood products. Publication Themes Over the past decade Dr. Makar has published extensively on thrombotic microangiopathies (TMA), validating the widely adopted PLASMIC score for rapid TTP risk assessment and exploring recombinant ADAMTS13 as targeted therapy for immune-mediated TTP. Recent manuscripts also address germline determinants of transplant-associated TMA, non-alloimmune causes of platelet refractoriness, and optimization of apheresis protocols for CAR-T manufacturing at MGH. Scientific Awards & Honors No specific awards or named lectureships were identified in the provided text; however, his authorship in New England Journal of Medicine , Lancet Haematology , and other high-impact journals attests to peer recognition in transfusion medicine and hematology. Leadership & Clinical Service Director, Blood Transfusion Service, MGH (FDA-licensed, AABB-accredited reference laboratory) Medical Director oversight for ~70,000 blood-component transfusions and >13,000 whole-blood donations annually Clinical consultation services for apheresis, transfusion management, and pre-transplant compatibility assessment Supervision of resident physicians and fellows rotating through transfusion medicine Laboratory & Team Dr. Makar leads the integrated Blood Transfusion Service, encompassing the Kraft Family Blood Donor Center, Outpatient Infusion Unit, Apheresis Unit, and ASHI-certified Histocompatibility Laboratory. The clinical team includes attending physicians, resident pathologists, specialized nurses, and research coordinators who collectively support adult and neonatal transfusion needs as well as cutting-edge cellular-therapy trials.

Mihaela Ribičić PenavaView profile

Professor

• Mathematical Inequalities
• Applied Mathematics
• Numerical Analysis
• +2 more

Mihaela Ribičić Penava is a Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. Her research focuses on mathematical inequalities and their applications in numerical analysis. PhD (2009), MSc (2005): Department of Mathematics, University of Zagreb BSc (2001): Department of Mathematics, University of Osijek Her research interests span mathematical inequalities, convex functions, and quadrature methods, with a particular emphasis on Hermite-Hadamard, Fejér, and Ostrowski-type inequalities. She has developed novel integral identities and error bounds for numerical integration techniques. Recent publications analyze generalized inequalities, Grüss-type bounds, and quadrature formulae for higher-order convex functions. These works frequently utilize Chebyshev functionals and Montgomery identities to refine numerical approximation accuracy. Professional activities include: Member of the Editorial Board, Osječki matematički list (since 2017) Chair/Member of organizing/programming committees for mathematics education conferences (2016-2022) She teaches courses in elementary mathematics, set theory, convex functions, and integral calculus at the School of Applied Mathematics and Informatics. Her academic service also includes participation in winter math schools and science festivals.

• Islet transplantation
• Immune tolerance
• Type-1 diabetes therapy
• +4 more

Norma Sue Kenyon, Ph.D., is the Martin Kleiman Professor of Surgery in the DeWitt Daughtry Family Department of Surgery at the University of Miami Miller School of Medicine, with secondary appointments in Microbiology & Immunology, Biomedical Engineering, and Biochemistry & Molecular Biology. She concurrently serves as Vice Provost for Innovation university-wide and Chief Innovation Officer of the Miller School of Medicine, and she is Executive Director of the Wallace H. Coulter Center for Translational Research. Education 1979 – B.S. in Zoology, Duke University 1986 – Ph.D. in Immunology, Medical College of Virginia, Virginia Commonwealth University 1987 – Post-doctoral Fellowship, University of California, Los Angeles 1990 – Post-doctoral Fellowship, University of Miami School of Medicine Research Interests Dr. Kenyon’s laboratory focuses on strategies to achieve durable insulin independence after islet transplantation for type-1 diabetes, with particular emphasis on eliminating life-long systemic immunosuppression. Her work integrates costimulatory blockade agents, mesenchymal stem-cell co-therapies, and bioengineered implantable niches to promote engraftment, revascularization, and immune tolerance. These investigations span mechanistic studies in rodent and non-human primate models to first-in-human clinical trials. Recent Publication Trends Between 2022 and 2025, Dr. Kenyon’s team published pivotal studies in Transplantation , Advanced Science , Nature Reviews Endocrinology , Science Translational Medicine , and Nature Communications . Collectively, these papers advance a translational pipeline that moves from GLP-1 receptor modulation and immune-devices in large animals to refined stem-cell-enhanced subcutaneous implants, underscoring a trajectory toward clinical application without chronic immunosuppression. Scientific Awards & Honors Virginia Commonwealth University Alumni Star Award Medical College of Virginia Healthcare Hero Award Greater Miami Chamber of Commerce Provost's Award for Scholarly Activity Martin Kleiman Chair in Diabetes Research Senior Laboratory Research Award, University of Miami Martin Kleiman Investigator Award, University of Miami Funding & Entrepreneurial Leadership Dr. Kenyon has continuously secured competitive NIH grants from NIAID and NIDDK, as well as support from the Juvenile Diabetes Research Foundation International (JDRF), the Diabetes Research Institute Foundation, and multiple industry partners. As Vice Provost for Innovation, she oversees the Office of Technology Transfer and the Coulter Center, catalyzing record numbers of licensing agreements, start-ups, and the new ‘Cane Angel Network’ to fund early-stage ventures across all 11 University of Miami schools and colleges. Laboratory & Teams The Kenyon Laboratory is embedded within the Diabetes Research Institute, a multidisciplinary center housing clinicians, basic scientists, and bioengineers. The team collaborates closely with the Preclinical Cell Transplantation Core and the Clinical Islet Transplant Program, providing seamless translation from bench to bedside.

• Protein Structure Prediction
• Protein Interactions
• Drug Design
• +4 more

Yuedong Yang is a Professor at the School of Data and Computer Science, Sun Yat-sen University since August 2017. His academic journey includes a Research Assistant Professor position at Indiana University (2011-2013) and Research Fellow at Griffith University's Institute for Glycomics (2013-2017), following postdoctoral training at Indiana University School of Medicine (2006-2011). His primary research focuses on Protein Structure Prediction and Refinement , Protein Interactions with biomolecules and ligands, and Classification of Human Genetic Variations . His work bridges computational biology, machine learning, and structural bioinformatics, with emphasis on developing AI-driven methods for biomolecular analysis. Recent publications demonstrate strong integration of geometric deep learning, language models, and physics-based approaches. Analysis of his 15 most recent publications (2024-2025) reveals dominant trends in spatial transcriptomics , protein structure-function prediction , foundation models for genomics , and interpretable AI for drug discovery . His work increasingly combines multimodal data integration with causal learning frameworks. Over 50 publications in top journals including PNAS, Genome Biology, Nucleic Acids Research, and Bioinformatics Active community service as Associate Editor for BMC Bioinformatics Extensive peer review activity across 46 publications/grants in 35+ journals His research is supported by multiple major grants including National Natural Science Foundation of China (61772566), National Health and Medical Research Council (1121629), and Australian Research Council (LP150100137). He has advised numerous researchers through collaborative projects in computational biology and bioinformatics. Dr. Yang leads research in protein informatics and multi-omics integration, with current projects focusing on geometric deep learning for biomolecular structure prediction and foundation models for single-cell genomics. His lab maintains strong international collaborations between China, USA, and Australia.

Marc RovitoView profile

Assistant Professor

• Oncology
• Cancer Research
• Clinical Trials
• +6 more

Marc Rovito, MD serves as an Assistant Professor in the Department of Medicine with a research focus spanning oncology, epidemiology, and pandemic response systems. His work primarily investigates cancer patient outcomes during global health crises, particularly through large-scale collaborative initiatives. Research interests center on cancer-pandemic interactions , evidenced by high-impact studies on COVID-19's clinical impact in oncology patients. His fingerprint reveals expertise in melanoma (100%), malignant neoplasms (76%), breast cancer (66%), and overall survival metrics (38%). Key methodologies include phase III clinical trials (OlympiA), multi-institutional cohort studies (CCC19), and systematic framework development for rapid data acquisition. Publication trends demonstrate leadership in translational oncology with emphasis on therapeutic interventions across diverse cancer types. His 2020-2023 work shows significant citation impact, particularly the Lancet cohort study (1,409 Scopus citations) and OlympiA trial (161 citations), indicating substantial influence in clinical oncology guidelines and policy. Rovito's collaborative network spans global institutions through the COVID-19 and Cancer Consortium, with research referenced in 3 clinical guideline sources, 31 policy documents, and 145+ news outlets. His work contributes to UN Sustainable Development Goals related to health equity and pandemic resilience. Current activities involve quality assurance systems for cancer patient data during health emergencies, therapeutic outcome analysis in melanoma/breast cancer, and clinical trial methodology refinement. Research outputs show consistent engagement with high-impact journals including The Lancet, Annals of Oncology, and Cancer Cell.

Alexey VikhlininView profile

Lecturer

• Galaxy Clusters
• Cosmology
• X-ray Astronomy
• +5 more

Alexey Vikhlinin is a Lecturer and SAO Astrophysicist at the Harvard-Smithsonian Center for Astrophysics (CfA), where he serves as Deputy Associate Director of the High Energy Astrophysics Division. His research focuses on X-ray observations of galaxy clusters to advance cosmological models and understand intergalactic medium physics. Key projects include the 160/400d cluster surveys, studies of cluster mergers via Chandra, and collaborations with the South Pole Telescope team. Education 1993: M.S. in Space Physics (summa cum laude), Moscow Institute of Physics and Technology. 1995: Ph.D. in Astronomy, Institute for Space Research, Moscow. 2003: Doctor of Sciences, Russian Academy of Sciences. Research Focus Vikhlinin investigates galaxy clusters as cosmological probes, specializing in X-ray mass determinations, dark energy constraints via cluster mass function evolution, and intracluster gas dynamics. His work integrates multi-wavelength data (X-ray, optical, SZ) and numerical simulations to refine cluster mass calibrations and baryonic physics models. Publications & Collaborations His recent articles (2009–2010) emphasize cluster cosmology, X-ray survey methodologies, and gravitational physics. Trends include mass function evolution, modified gravity tests, and multi-telescope data fusion (Chandra, INTEGRAL, MMT). He co-leads the science definition for Lynx, a next-generation X-ray observatory. Awards Zeldovich Medal (COSPAR, 2004) State Prize of the Russian Federation (2003) Rossi Prize (AAS, 2008; shared for cluster cosmology and cold front discoveries)

Michael SuckowView profile

Professor

• Aviation Training
• Pilot Training
• Competency Based Training
• +3 more

Michael Suckow serves as Professor of Practice and Associate Head for Engagement at Purdue University's School of Aviation and Transportation Technology, where he teaches flight operations and senior capstone courses while leveraging over 8,000 flight hours and an Airline Transport Pilot (ATP) certificate with three type ratings alongside Certified Flight Instructor credentials. He holds a Master of Business Administration (MBA) degree that informs his interdisciplinary approach to aviation education leadership. His research pioneers the harmonization of task-based and competency-based training frameworks to elevate graduate job readiness in aviation, utilizing iterative small-group trials to validate efficacy against FAA safety standards through evidence-based methodology refinement. Recognition includes multiple Polytechnic Research Awards: Polytechnic Research Award (February 2024) Polytechnic Research Award (January 2024) Polytechnic Research Award (October 2022) Polytechnic Research Award (September 2022) In his administrative role, Suckow drives engagement initiatives while mentoring students through practical flight instruction and capstone projects, with research funding derived from internal Polytechnic awards supporting his framework development for collegiate pilot training enhancement.

Gozdem KilazView profile

Associate Professor

• Aviation Biofuels
• Sustainable Energy
• Alternative Liquid Transportation Fuels
• +4 more

Gozdem Kilaz is an Associate Professor in the School of Engineering Technology at Purdue University with a courtesy appointment in Aviation and Transportation Technology. She serves as the Chief Scientist for the Air Transportation Institute for Environmental Sustainability (AirTIES) and established the Fuel Laboratory of Renewable Energy (FLORE) for chemical identification and properties testing of aviation fuels. She is also a faculty member of the Laboratory of Renewable Resources Engineering (LORRE) and a Faculty Advisor for the Global Aviation Leadership Association (GALA) student organization. Education: Post-doc Mechanical Engineering Technology, Purdue University (2012-2014) Ph.D. Chemical Engineering, Purdue University (2005) M.S. Chemical Engineering, Bogazici University, Istanbul, Turkey (1999) B.S. Chemical Engineering, Bogazici University, Istanbul, Turkey (1997) Dr. Kilaz's research focuses on aviation biofuels and sustainability, with emphasis on alternative liquid transportation fuels development, testing, and approval. Her work centers on understanding the relationship between chemical composition and fuel performance properties, particularly for aviation applications. She utilizes advanced analytical techniques including comprehensive two-dimensional gas chromatography and mass spectrometry to achieve detailed chemical characterization of fuels. Her research has significant implications for sustainable aviation and environmental impact reduction through renewable fuel development. Analysis of Dr. Kilaz's recent publications reveals a strong focus on aviation fuel composition analysis, alternative biofuels, and sustainable energy solutions. Her work consistently applies advanced analytical techniques to understand how chemical composition relates to fuel properties and performance. A significant portion of her research involves developing methods to characterize hydrocarbons in aviation fuels, predict fuel properties, and create sustainable alternatives to conventional jet fuels. Her work spans from fundamental chemical characterization to practical applications in sustainable aviation. Scientific Awards: 2019 Outstanding Graduate Mentor School of Engineering Technology 2019 Polytechnic Institute Outstanding Graduate Mentor 2016 Outstanding Faculty in Discovery, School of Engineering Technology 2016 Seed for Success Award at Excellence in Research, Purdue University 2015 Outstanding Faculty in Discovery, School of Aviation and Transportation Technology 2015 Seed for Success Award at Excellence in Research, Purdue University 2014 Polytechnic Dean's Instrument Award 2014 Courtesy Faculty of Laboratory of Renewable Resources Engineering 2013 Faculty Fellow, Purdue Polytechnic Initiative Dr. Kilaz has secured significant research funding from multiple sources including the Department of Energy, Office of Naval Research, Federal Aviation Administration, and industry partners. Her grants portfolio includes the $3 million NEPTUNE Center for Power and Energy Research Phase II, $800,000 for Alternative Aviation Fuels Fire Safety research, and $297,500 for Multidimensional Gas Chromatography with Mass Spectrometry for Aviation Fuels. She has served as PI or Co-PI on numerous projects totaling over $10 million, demonstrating her leadership in sustainable aviation fuel research. As Faculty Advisor for GALA, she mentors students interested in aviation leadership and sustainability. Dr. Kilaz established and directs the Fuel Laboratory of Renewable Energy (FLORE), an interdisciplinary research facility focused on chemical identification and properties testing of aviation fuels. She collaborates extensively with the Laboratory of Renewable Resources Engineering (LORRE) and serves as Chief Scientist for the Air Transportation Institute for Environmental Sustainability (AirTIES). She is also a co-leader of Purdue Polytechnic's Realizing the Digital Enterprise research impact area, which explores systems at the intersection of social impact, human actors, and technology.

• Formal Methods
• Relational Algebra
• Term Graph Rewriting
• +4 more

Professor Wolfram Kahl is a faculty member in the Department of Computing and Software at McMaster University . He has served as an instructor for courses such as Logical Reasoning for Computer Science , Formal Specification Techniques , and Certified Programming with Dependent Types , reflecting his expertise in formal methods and educational technologies. Research Interests : His work focuses on Relational algebraic approaches to software verification Term graph rewriting systems Haskell-based tool development for formal specification Category theory applications in computer science Interactive learning tools for discrete mathematics Parallel and distributed system modeling Publication Trends : Over the last decade, his publications have concentrated on formal verification techniques, graph transformation systems, and educational tool development. Notable works include mechanized relational algebraic proofs, parallel multicore verification frameworks, and contributions to Haskell module design for type class systems. Collaborations : Professor Kahl has collaborated extensively with researchers like Christopher Anand, Jacques Carette, and Alan Wassyng, and has contributed to major conferences including Relational and Algebraic Methods in Computer Science (RAMiCS) .

Karolina GórnickaView profile

Assistant Professor

• Superconductivity
• Magnetism
• Intermetallics
• +7 more

Dr. Karolina Górnicka is an Assistant Professor at the Institute of Nanotechnology and Materials Engineering within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology. Her research focuses on superconductivity, magnetism, and materials science, with particular expertise in rare earth compounds, intermetallics, and spinel oxides. She works in the Department of Solid State Physics and maintains an active research program with numerous publications in high-impact journals. Her research interests span superconductivity, magnetism, intermetallics, spinel oxides, Heusler compounds, and electrocatalysis. Dr. Górnicka's work often involves crystal growth, structural characterization, and measurement of physical properties of novel materials. She has particular expertise in studying rare earth compounds and their magnetic and superconducting properties, as well as developing spinel-based materials for electrocatalytic applications like oxygen evolution reaction in water splitting systems. Analysis of her recent publications reveals a strong focus on anisotropic magnetic behavior in rare earth compounds, superconductivity in various material systems including Heusler phases and Laves compounds, and the development of spinel oxide catalysts for energy applications. Her research combines experimental techniques like crystal growth, X-ray diffraction, and physical property measurements with theoretical modeling. Dr. Górnicka has secured competitive research funding through projects such as 'Superconductivity in the alkaline earth metal-based Laves phase compounds' (PRELUDIUM) and 'Superconductivity and magnetism in new binary compounds R-Rh and R-Ir (R-rare earth)' (DIAMENTOWY GRANT). She collaborates extensively with researchers including Prof. Tomasz Klimczuk and international collaborators from institutions like Princeton University. She is actively involved in the research community, with 54 publications to her name as of the latest data, and her work has been viewed over 6,000 times. Her research contributes to fundamental understanding of quantum materials while also addressing practical applications in energy technologies.

Sandro StuckiView profile

Lecturer

• Programming Languages
• Formal Methods
• Type Systems
• +4 more

Sandro Stucki is a Lecturer in the Department of Computer Science and Engineering at Chalmers University of Technology. He has previously worked as an applied scientist at Amazon and as a postdoctoral researcher at Chalmers University of Technology and the University of Gothenburg. He completed his doctoral studies at the Programming Methods Laboratory (LAMP) at EPFL under the supervision of Professor Martin Odersky. His research focuses on programming languages, with particular interest in formal methods, type systems and theory, and the semantics and implementation of domain-specific languages. He applies formal methods and type theory to problems in privacy and security, investigates type safety of Scala and related type systems, and develops type soundness proofs using Agda. His work also includes designing domain-specific languages for modeling probabilistic and stochastic systems, especially biochemical systems. He has contributed to the Scala ecosystem by developing a GNU/Emacs mode for Kappa, a modeling language for systems biology. His recent publications demonstrate strong expertise across programming language theory, formal verification, privacy-preserving systems, and applications in systems biology. His work bridges theoretical foundations with practical applications, particularly in the Scala programming language ecosystem. Stucki is actively involved in academic service, having served on program committees for numerous conferences including ECAI, GPCE, NWPT, and as a steering committee member for the Scala Symposium series. He has also organized several academic events, including the Scala Symposium 2016. He currently teaches courses on Data Science and AI, Fundamentals of Program Development, and Neuro-symbolic AI at Chalmers/Gothenburg University, and has previously taught courses on Parallel Functional Programming, Principles of Concurrent Programming, and Types and Programming Languages.

Ning TianView profile

Professor

• Synaptic Development
• Circuit Assembly
• Synaptic Plasticity
• +6 more

Ning Tian is a Professor of Ophthalmology and Visual Sciences at the University of Utah , with adjunct appointments in Neurobiology and Biomedical Engineering. Their research focuses on synaptic development, circuit assembly, and molecular regulation of the retina as a model for CNS function. Education : MD from Yichang School of Medicine, PhD from State University of New York at Buffalo Research explores visual circuit architecture , synaptic plasticity , and neurodegenerative disease mechanisms through trans-synaptic staining, confocal imaging, and genetic models. Findings highlight activity-dependent refinement of retinal circuits and disease-specific vulnerabilities. Recent work examines Campana cell signaling , CD3ζ neuroprotection , and type-specific susceptibility to injury . The lab develops methods for retinal repair in conditions like glaucoma and macular degeneration.

• Analytic number theory
• Lattice-point problems
• Discrete geometry
• +3 more

Gerald Kuba is ao. Univ. Prof. (Associate Professor) at the University of Natural Resources and Life Sciences, Vienna (BOKU) , Institute of Mathematics, Gregor-Mendel-Straße 33, 1180 Wien. His research centres on analytic number theory, lattice-point problems, enumeration of discrete structures such as metric spaces, topologies, and Hamel bases, and set-theoretic real analysis. He has been involved in three Austrian Science Fund (FWF) projects led by Werner Georg Nowak, serving as sub-project leader or scientific staff between 1998 and 2012, all devoted to lattice points and analytic number theory. Since then he has continued an active solo publication record with over 80 refereed articles. Research interests Analytic number theory & lattice-point asymptotics Enumerative combinatorics of metric, ultrametric and ordered spaces Set-theoretic real analysis – decompositions of ℝ, Cantor sets, saltus functions Functional equations and didactics of mathematics Recent publications (2025-2021) explore connected Hamel bases in Hilbert spaces, functional equations of Cauchy type, Cantor sets as fields, and counting discrete structures, illustrating a persistent focus on combining classical analysis with enumerative problems. Presentations & outreach Invited talk “On the differentiability of certain saltus functions” , Mathematics Colloquium, University of Vienna, 2009 No doctoral students or supervised theses are recorded in the BOKU database under his name; no personal grants after 2012 are shown. He remains affiliated with the Institute of Mathematics and continues to publish actively, hence is regarded as an active faculty member.