Assistant Professor Aljaž Zalar is affiliated with the University of Ljubljana at the Faculty for Computer and Information Science . His research focuses on Real Algebraic Geometry , Truncated Moment Problems , and Matrix Polynomials , with applications in Operator Theory and Positive Linear Maps . PhD in Mathematics, University of Ljubljana (2017) MSc and BSc in Mathematics, University of Ljubljana (2013, 2011) Zalar's work bridges theoretical mathematics and computational applications, including copositive matrices , positive semidefinite matrix completions , and noncommutative polynomial positivity . His recent projects address truncated moment problems on curves and algebraic structures in optimization . His publications from 2016–2025 span journals like Linear Algebra and its Applications , SIAM Journal on Applied Algebra and Geometry , and Integrable Equations and Operator Theory , emphasizing polynomial operator analysis and matrix inequalities . Zalar supervises postdoctoral and graduate students, including PhD candidate Rajkamal Nailwal and Igor Zobovič, and mentors undergraduate researchers. He leads the ARIS grant project J1-60011 on real algebraic geometry approaches to moment problems.
Mihael Grbić is an Associate Professor at the Department of Physics , Faculty of Science , University of Zagreb , Croatia. He leads research at the laboratory for solid-state NMR and high-frequency measurements (Room 010). Graduated in 2005, earned PhD in 2011, and has been with the institute since 2006 Research Interests His work focuses on high-temperature superconductivity in cuprates and pnictides, quantum magnetism in low-dimensional systems, and heavy fermion materials . He specializes in solid-state NMR/NQR and microwave conductivity measurements to probe quantum criticality and phase transitions. Projects Quantum CoreS CeNIKS (Center for Advanced Research in Complex Systems) MicroS - Croatian Science Foundation INSPINOR Instrumentation Expertise Developed advanced equipment for NMR experiments including: Two-axis goniometer for precise crystal orientation Elliptical cylindrical resonant cavity systems Optimized NMR antenna-receiver chains Microwave surface impedance measurement tools
Shota Nakamura is an Assistant Professor at Nagoya Institute of Technology's Graduate School of Engineering, specializing in condensed matter physics with a focus on chiral magnets and strongly correlated electron systems. He holds a PhD from the University of Tokyo (2018) and completed his undergraduate and master's studies at Hokkaido University. His research primarily investigates chiral magnetic materials, particularly rare-earth intermetallic compounds like DyNi 3 Al 9 , GdNi 3 Ga 9 , and YbNi 3 Al 9 , examining their magnetic structures, phase transitions, and electronic properties. His work combines experimental techniques including neutron scattering, X-ray diffraction, specific heat measurements, and magnetization studies to understand the complex magnetic ordering in these materials. Analysis of his recent publications reveals a strong focus on chiral helical magnetic structures, quadrupolar ordering phenomena, and the relationship between crystal symmetry and magnetic properties in rare-earth compounds. His research demonstrates expertise in both fundamental magnetic phenomena and the synthesis of specialized magnetic materials. 2019 Highly Cited Article of JPSJ (2020) - Giant Hall Resistivity and Magnetoresistance in Cubic Chiral Antiferromagnet EuPtSi 2019 Highly Cited Article of JPSJ (2020) - Field-rotational Magnetocaloric Effect Actinides2017 Student Poster Award (2017) - Magnetization Study on the Ising Ferromagnet URhGe Multiple Editors' suggestions from Physical Review B (2017) Dr. Nakamura leads several competitive research projects including 'Microfabrication of Chiral Helical Magnets and Cross-Correlation Phenomena' (Tatematsu Foundation, 2024-2027) and 'Control of Helical Period in Chiral Magnets for Electrical-Magnetic Cross-Correlation' (Hibi Foundation, 2024-2025). He is an active member of The Physical Society of Japan and frequently presents his work at international conferences including the International Conference on Magnetism.
Ján Mazák serves as Associate Professor in the Department of Computer Science at the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava. His office (M 255) is located at Mlynská dolina campus, reachable via phone 02/602 95 224. He maintains an active academic profile with current teaching duties and recent publications. Professor Mazák's research centers on Graph Theory with specialized focus on cubic graphs and snarks. His work investigates structural properties including cycle covers, oddness, resistance, and circumference deficit. This theoretical research bridges combinatorial mathematics and computer science, addressing fundamental problems in graph optimization and structural analysis. His publication record (2015-2022) demonstrates consistent output in top-tier journals like Electronic Journal of Combinatorics and Discrete Applied Mathematics . The research shows thematic continuity in cubic graph analysis, with increasing sophistication from 2015's snark studies to 2022's morphological investigations. Collaborative patterns indicate strong departmental ties with researchers Lukoťka, Mačajová, and Škoviera. No scientific awards are documented in the provided materials. Professor Mazák actively teaches Database Systems and Mathematical Propedeutics courses, maintaining a substantial teaching load with multiple weekly sessions across campus locations. While specific grant funding isn't mentioned, his sustained publication output suggests active research support. Prospective students should note his theoretical research orientation and contact him directly for supervision opportunities. The departmental structure provides standard academic resources, though no dedicated research laboratory is referenced in available information.
Sharon M. Frechette is an Associate Professor in the Department of Mathematics & Computer Science at the College of the Holy Cross, where she teaches across the undergraduate curriculum and develops innovative interdisciplinary seminars. Her educational background includes: Ph.D. in Mathematics from Dartmouth College (1997), thesis: "Decomposition of Spaces of Half-Integral Weight Cusp Forms" under Thomas Shemanske A.M. from Dartmouth College (1994) B.A. from Boston University (1988) with senior thesis advised by Paul Blanchard Frechette's research bridges number theory and combinatorics, with deep investigations into modular forms, L-functions, multiple Dirichlet series, and hypergeometric functions over finite fields. She explores connections between algebraic combinatorics and representation theory, and examines the relationship between elliptic curves and modular forms. Her work often reveals combinatorial structures within analytic number theory problems, particularly through the lens of Hecke operators and their traces. Analysis of her publication timeline (2000-2018) shows evolution from foundational work on half-integral weight modular forms to sophisticated studies of multiple Dirichlet series and finite-field hypergeometric functions, with consistent emphasis on combinatorial interpretations of number-theoretic objects. As an educator, Frechette has created the distinctive Montserrat cryptology sequence combining historical narrative with mathematical rigor, and regularly teaches advanced courses like Modern Algebra and Number Theory. Her commitment to undergraduate research is evident through supervision of senior theses and development of course-based research opportunities.
Smita Krishnaswamy is an Associate Professor of Genetics and Computer Science at Yale University with joint appointments in both departments. She is affiliated with multiple interdisciplinary programs including the Applied Mathematics Program, Computational Biology and Bioinformatics Program, Yale Center for Biomedical Data Science, Yale Cancer Center, and the Wu Tsai Institute. Her research bridges computational methods development with biomedical applications, focusing on unsupervised machine learning approaches for high-dimensional data analysis. Associate Professor of Genetics, Yale School of Medicine Associate Professor of Computer Science, Yale University Affiliated Faculty, Applied Mathematics Program Affiliated Faculty, Computational Biology and Bioinformatics Member, Yale Center for Biomedical Data Science Member, Yale Cancer Center Member, Wu Tsai Institute Dr. Krishnaswamy's research focuses on developing unsupervised machine learning techniques, particularly manifold learning and deep learning methods, to analyze high-dimensional biomedical data. Her lab creates algorithms for non-linear dimensionality reduction, data geometry learning, denoising, imputation, and inference of multi-granular structures from complex datasets. These methods are applied to diverse data types including single-cell RNA-sequencing, mass cytometry, electronic health records, and connectomic data across multiple biological systems. Her work spans several key application areas including immunology and immunotherapy, cancer research, neuroscience, developmental biology, and health outcomes analysis. The lab employs approaches from geometric deep learning, multiscale graph signal processing, and topological data analysis to extract meaningful biological insights from complex datasets. Recent publications demonstrate the lab's leadership in developing methods for spatial transcriptomics, brain-state trajectory modeling, and organ donation prediction. Excellence in Science Early-Career Investigator Award from FASEB (2022) Yale Cancer Center Class of '61 Cancer Research Award (2025) Dr. Krishnaswamy maintains active collaborations across Yale and secures research funding supporting her work in computational biomedicine. She advises students through multiple programs including Genetics, Computer Science, and the Biological and Biomedical Sciences Graduate Program, fostering interdisciplinary training at the intersection of computation and biomedicine. The Krishnaswamy Lab operates at the forefront of computational biomedicine, developing mathematical approaches that enable new biological discoveries from complex datasets.
Dr. Mariana STEFAN is a Scientific Researcher II at the National Institute of Materials Physics (NIMP), working in the Laboratory of Atomic Structures and Defects in Advanced Materials (LASDAM). She also serves as the responsible person for the EPR facility from the Romanian partner NIMP within the Central European Research Facility Consortium (CERIC). With expertise in electron paramagnetic resonance techniques, her work bridges fundamental materials science and practical applications in energy, sensing, and environmental technologies. Dr. STEFAN's educational background includes: PhD in Physics (Condensed State Physics), University of Bucharest, Romania (2002) Thesis title: Paramagnetic point defects in ionic crystals with structural phase transitions PhD supervisor: Prof. Dr. Sergiu V. Nistor BSc Physics (Electronic and Electrotechnical Materials and Components), Faculty of Physics, University of Bucharest, Romania (1991) Her research focuses on characterizing point defects in wide band gap semiconductors and insulating crystalline materials. She specializes in EPR probing of structural and chemical transformations, with particular expertise in multifrequency EPR analysis and computational interpretation of spectra. Her work extends to EPR investigations of nanostructured materials for applications in electronics, (photo)catalysis, and gas sensing, where she has made significant contributions to understanding defect structures and their impact on material properties. Her technical proficiency also includes single crystal growth using Czochralski and Bridgman techniques. Dr. STEFAN's publication record demonstrates consistent high-impact research across multiple domains of materials science. Her work shows a clear trajectory from fundamental studies of defect structures in semiconductor nanoparticles to applied research on energy storage devices, gas sensors, and photocatalytic materials. The integration of EPR with complementary techniques like XRD, STEM, and XPS in her research provides comprehensive materials characterization that has advanced understanding in multiple subfields. Her scientific recognition includes: Dragomir Hurmuzescu award of the Romanian Academy (2001) Dr. STEFAN has contributed to numerous collaborative research projects through CERIC and has co-authored multiple book chapters on semiconductor nanoparticles and defect structures. Her work with Research ID G-4068-2011 and ORCID ID 0000-0001-5272-4770 demonstrates sustained research productivity, with recent publications focusing on supercapacitor materials, gas sensing applications, and advanced EPR methodologies for nanomaterial characterization. As part of LASDAM at NIMP, Dr. STEFAN operates advanced EPR facilities that support both fundamental research on defect structures and applied research on materials for energy, sensing, and environmental applications. Her laboratory contributes significantly to the Romanian and European materials science communities through the CERIC consortium, providing specialized characterization capabilities for researchers across multiple disciplines.
Dr. Palade Petru is a Scientific Researcher II at the National Institute of Materials Physics in Romania, specializing in hydrogen storage materials, magnetic nanomaterials, and advanced characterization techniques. His work bridges fundamental physics with practical energy applications through extensive collaboration with European research networks. Education: PhD in Physics (Condensed Matter Physics), 2002 Master Degree in Physics (Physics of Semiconductors), 1995 Bachelor Degree in Physics (Technological Physics), 1994 Postdoc at University of Padova, Italy (2003-2006) His research focuses on developing hydrogen storage solutions using mechanochemical methods and wet chemistry synthesis of magnetic nanoparticles. He pioneers the application of Mössbauer spectroscopy for local electronic structure analysis, particularly through conversion electron techniques. His computational work employs WIEN2k for band structure calculations of solids and molecules. Current projects target rare-earth-free permanent magnets and nanoconfined complex hydrides for vehicular hydrogen storage. Analysis of his publication trends reveals consistent leadership in magnetic nanomaterial characterization, with recent emphasis on biomedical applications (hyperthermia, drug delivery) and sustainable energy solutions. His work shows strong interdisciplinary integration of materials synthesis, advanced characterization, and computational modeling. Awards: Dragomir Hurmuzescu Prize from the Romanian Academy (2008) for hydrogen storage research He has secured significant research funding through national projects including PCCA PNCDI-2 (rare-earth-free magnets), PARTNERSHIP PNCDI-2 (STOHICO hydrogen storage project), and IDEAS PNCDI-2 (electronic mechanisms in intermetallics). His laboratory develops patented technologies for hydrogen-storing materials and iron nitride magnetic composites. The Laboratory of Magnetism and Superconductivity maintains specialized capabilities in Mössbauer spectroscopy across multiple isotopes, Sievert method hydrogen storage measurements, and Rietveld refinement of XRD data using Maud software.
