Rachel Lyn-Salmon Frisbie is a Fixed Term Assistant Professor in the Department of Computational Mathematics, Science and Engineering at Michigan State University. Her research spans interdisciplinary domains, combining computational methods with astrophysics and educational innovation in software development. Research Focus: Astrophysics (galaxy clusters, X-ray astronomy, AGN jets) and computational education (sustainable software practices, collaborative learning). Teaching: Instructor for CMSE 201, focusing on computational modeling and data analysis. Publications: Contributions to galaxy cluster thermodynamics, AGN feedback, and pedagogical frameworks for computational education.
Shuowen Jin is a Research Fellow at the Department of Space Research and Technology (DTU Space), Danish Technical University, focusing on astrophysics and atmospheric physics. Her research explores galaxy formation, star formation processes, and high-redshift cosmic structures via multi-wavelength observations. Position: Research Fellow Institution: Danish Technical University (DTU) Department: Department of Space Research and Technology Research Interests include: Galaxy formation and evolution at high redshifts Dust emission in star-forming galaxies Protocluster dynamics and cosmic noon structures Spectral energy distribution analysis JWST and NOEMA survey contributions Recent publications address merging quiescent galaxies in the Cosmic Vine, spiral structures in z>1 galaxies, and dust-veiled systems at z=4.82. She supervises PhD student N. B. Sillassen on early universe galaxy physics projects. Email: shuji@dtu.dk
Rimantas Pupeikis is an Associate Professor and Affiliated Scientist at Vilnius University's Institute of Data Science and Digital Technologies (DMSTI), formerly known as the Institute of Mathematics and Informatics (MII). He is affiliated with the Global Optimization Group within the institute and has maintained a long-standing academic career spanning several decades. Dr. Pupeikis graduated in 1969 from the Faculty of Mechanical Technology at the Vilnius Branch of the Lithuanian State Industrial University, specializing in Complex Mechanization and Automation of Machine Production. He earned his Doctor of Technical Sciences degree in 1979 from the Scientific Council of KPI and was awarded the pedagogical scientific title of Associate Professor in 2000 by the Scientific Council of VGTU (Vilnius Gediminas Technical University). His research focuses on recursive identification of feedback dynamic objects, nonlinear systems, Wiener systems, delay identification, and dynamic object management. His work centers on the development and applications of the theory of identification and control of technological processes. Dr. Pupeikis has published extensively on system identification, signal processing, and control theory, with particular emphasis on adaptive tracking methods, convolution algorithms, and identification of nonlinear systems. His publication record shows a consistent research trajectory with significant contributions in the 2010s and 2020s, particularly in the areas of adaptive joint tracking of system parameters, revised convolution methods, and identification of nonlinear systems with time delays. His work demonstrates a strong mathematical foundation combined with practical applications in signal processing and control systems. Dr. Pupeikis has also been involved in pedagogical activities, teaching Digital Signal Processing and Databases at the VGTU Faculty of Electronics, delivering both lectures and exercises in English and Lithuanian. His professional career includes positions as Junior Researcher, Postgraduate Student, and Researcher at the Institute of Physical and Technical Energy Problems (1969-1979), work at the Department of Technological Process Control at MII starting in 1980, research at the Department of Mathematics, Institute of Mathematics, University of Bayreuth (1996-1998), and research at the Department of Automatic Control and Communication Systems at Linköping University (2002-2003).
Christos Chalkias serves as Professor and Vice-Rector for Research, Development and Lifelong Learning at Harokopio University's Department of Geography. Based in Athens, Greece, his academic office is located in the Library Building (Office 4.5). His educational background includes a Degree in Geology (1991) and PhD in Physical Geography & Geoinformatics (1996), both completed at the National and Kapodistrian University of Athens. His research encompasses diverse geospatial domains with particular emphasis on: Geographic Information Systems & Science – Developing spatial analysis methodologies Applied Geography – Solving real-world environmental and societal challenges Spatial Analysis – Examining geographic patterns and processes Environmental Modeling – Simulating physical phenomena Health Geography – Analyzing spatial health disparities Digital Cartography – Innovating map visualization techniques Recent publications (2023-2025) demonstrate strong focus on geospatial applications in health epidemiology, environmental monitoring, and disaster management. His work frequently employs remote sensing, spatial statistics, and GIS technologies to address Mediterranean-region challenges including cardiovascular disease patterns, light pollution, soil degradation, and earthquake impacts. Distinct research trends include historical geospatial reconstruction, nocturnal earth observation, and community-engaged environmental sensing.
Dr. Uros Puc is a researcher at the ZHAW Zurich University of Applied Sciences , affiliated with the School of Engineering . His work focuses on terahertz (THz) photonics , organic electronics , and photovoltaics , particularly in developing and characterizing organic crystals for THz wave generation and sensing applications. Research Interests : Puc's research spans terahertz technology , nonlinear optics , and molecular phonon engineering , with applications in materials testing, biomedical sensing, and sustainable technologies. He investigates how substituent groups and crystal structures influence THz phonon vibrations and nonlinear optical properties, aiming to enhance THz emission efficiency and stability. Publications highlight his contributions to broadband THz spectroscopy , organic crystal design , and analytical gas sensing . His work also extends to terahertz applications in circular economy and construction materials characterization .
Vince Lyzinski is an Associate Professor in the Department of Mathematics at the University of Maryland, College Park, with additional affiliations in the Applied Mathematics, Statistics, and Scientific Computation (AMSC) program. His work spans statistical network inference, graph matching algorithms, and machine learning applications to complex networks. Ph.D. in Applied Mathematics and Statistics (2013), M.S.E. (2011), and M.A. (2007) from Johns Hopkins University B.S. in Mathematics from University of Notre Dame (2006) His research focuses on statistical network inference , particularly graph matching and vertex nomination , with applications to connectomics and adversarial activity analytics. Supported by DARPA MAA , AFOSR , and JHU HLTCOE , he develops algorithms like iGraphMatch for graph alignment and analysis. Recent publications (2025-2023) explore vertex label error impacts, network trimming for robustness, and stochastic blockmodel extensions. Key papers include "Asymptotically Perfect Seeded Graph Matching" and "ACRONYM: Augmented Degree-Corrected Network Models" . Scientific Awards : Best Paper Award at GTA3 2018 Workshop He has advised 13 Ph.D. students and 1 postdoc across UMD , JHU , and Texas A&M , including Keith Levin (now at UW-Madison) and Jesus Arroyo (now at Texas A&M). His DARPA-funded team includes researchers from UMass, UMD, BU, and JHU.
Ivančica Bogdanović Radović serves as President of the Scientific Council and holds the position of Senior Scientist with Tenure at the Ruđer Bošković Institute (RBI) in Zagreb, Croatia. She is formally recognized as an Assistant Professor within the Division of Experimental Physics, specifically working in the Laboratory for Ion Beam Interactions. Faculty of Natural Sciences and Mathematics, University of Zagreb (BSc in Physics, 1984-1991) Faculty of Natural Sciences and Mathematics, University of Zagreb (MSc in Physics, 1991-1994) Faculty of Natural Sciences and Mathematics, University of Zagreb (PhD in Physics, 1994-1997) Dr. Bogdanović Radović's research focuses on Ion Beam Analysis techniques and Ion Beam Modification of Materials , with significant contributions to nuclear physics applications. Her work bridges fundamental nuclear physics with practical applications in materials science, forensic science, and nuclear fusion research. She has developed expertise in MeV SIMS (Secondary Ion Mass Spectrometry), Particle-Induced Gamma Ray Emission (PIGE), and other ion beam analytical methods, applying these techniques to diverse fields from cultural heritage conservation to plasma-facing materials for fusion reactors. Her recent publications demonstrate a strong focus on applying ion beam techniques to solve practical problems in nuclear fusion materials (particularly related to ITER and EUROfusion projects), forensic science applications, and advanced materials characterization. The research spans from fundamental atomic physics studies of ion-atom interactions to applied research on plasma-facing components for fusion reactors. Chair of the International Committee of Ion Beam Analysis conference Chair of the Ruđer Bošković Institute Scientific Committee Board member of the Nuclear Physics Division of EPS Classes Dr. Bogdanović Radović leads multiple significant research projects including the H2020 INFRARIA project RADIATE, an HrZZ project on capillary microprobe development, COST Action CA16101 MULTI-FORESEE for forensic science, and an IAEA CRP project on enhancing nuclear analytical techniques for forensic sciences. She serves as a Management Committee member from Croatia for the COST Action and as principal investigator for several major international collaborations. Her laboratory focuses on the Laboratory for Ion Beam Interactions, where she develops and applies advanced ion beam techniques for materials characterization across multiple disciplines.
Brandon Samuel Whitley is a Research Fellow at the Natural History Museum of Denmark, University of Copenhagen, specializing in Arctic Plant Diversity and Pollination Networks. His research employs molecular and computational tools to investigate ecological networks in high-latitude systems undergoing climate change. His primary research interests include: Arctic and community ecology Ecological network theory Plant-pollinator interactions Global change biology DNA metabarcoding techniques Biodiversity conservation applications Whitley's work focuses on building Arctic plant-pollinator interaction networks through DNA metabarcoding of pollinators collected in Greenland, comparing pollen DNA to custom barcode libraries. His research is critical for understanding climate change impacts on Arctic ecosystems and informing conservation policy. His recent publications examine bio-climatic drivers of vegetation change, harmonization of digitized herbarium data for Greenland's flora, and national DNA barcoding initiatives. These works span ecology, climate science, botany, and molecular biology with specific applications to Arctic biodiversity monitoring and conservation. Professional affiliations include: British Ecological Society, Conservation Ecology Group - PhD student representative Association of Polar Early Career Scientists (Danish Chapter) - Chair Te Tira Maurikura network for emerging researchers - Member Faculty Board of Natural History Museum of Denmark - PhD student representative He has co-supervised MSc students and served as teaching assistant for multiple university courses. His extensive fieldwork spans Greenland, Svalbard, Germany, France, Netherlands, and Belgium, focusing on plant-pollinator interactions and ecosystem monitoring.
Bjarni Gunnarsson is a composer and computer scientist from Iceland currently serving as faculty at the Institute of Sonology, Royal Conservatoire The Hague. He teaches algorithmic composition and computer music courses including Programming and Music 1, Programming and Music 2, and Composing with Algorithms. His academic work bridges the technical field of computer science with artistic composition practices. His educational background includes computer science studies at the University of Reykjavík and composition training with Gerard Pape, Trevor Wishart, Agostino Di Scipio, and Curtis Roads at CCMIX in Paris. He completed his master's degree in Sonology under the guidance of Paul Berg, Kees Tazelaar, and Richard Barrett. Gunnarsson's research focuses on the intersection of sound and computational processes, with particular interest in process-based sound, digital synthesis, and algorithmic composition. His work explores how sound emerges from interacting behaviors and the relationship between algorithms and musical behavior. He creates compositions that foreground behaviors, actions, and fuzzy materials, often developing systems where sound materials form, shift, and dissolve through interaction, memory, and transformation. His recent research projects demonstrate a trajectory toward increasingly sophisticated integration of computational methods in musical creation, with significant emphasis on live coding, persistent synthetic environments, database systems, and machine listening applications for sound synthesis. These projects reveal his consistent exploration of how computational processes can generate and transform sound in novel ways. Presented work at major international conferences including ICMC, ICLC, SMC, and xCoAx Performed at notable festivals such as Tectonics, Rewire, Today's Art, Sonar, and Présences Électroniques Music released on respected experimental labels including SUPERPANG, SØVN, 3LEAVES, Flag Day Recordings, Tartaruga, and Shipwrec Gunnarsson actively contributes to the academic community through teaching, research projects with the Lectorate Music group, and participation in the Joint Research Day events. His work demonstrates a sustained commitment to exploring the generative potential of sound through computational processes, creating environments where sound materials evolve through interaction with complex systems.
Prof. Dr. Jens Allmer is a full Professor of Medical Informatics and Bioinformatics at Ruhr West University of Applied Sciences (HRW) in Mülheim an der Ruhr, Germany. He previously held academic positions as Cluster Leader at Wageningen University and Research in the Netherlands (2017-2018) and as Assistant and Associate Professor at Izmir Institute of Technology in Turkey (2008-2016). His academic journey began with a PhD in Biology with distinction from the University of Münster in 2006. Prof. Allmer's research spans multiple omics disciplines with a primary focus on microRNA regulation and pathogen-host interactions. He employs machine learning techniques to explore these complex biological systems. His work has evolved from foundational bioinformatics methods to sophisticated integrative analyses, particularly in proteogenomics and computational miRNomics. He has made significant contributions to understanding microRNA detection algorithms, proteogenomic peptide mapping, and the development of comprehensive frameworks for omics data analysis. His recent publications demonstrate a strong trend toward integrative approaches that combine multiple data types, with increasing emphasis on machine learning applications in bioinformatics. The research spans from fundamental database development for noncoding RNAs to clinical applications in disease mechanisms, particularly in HIV infection and cancer pathways. His work shows consistent progression from method development to application in biological and medical contexts. Outstanding Young Scientist in Bioinformatics by the Turkish Academy of Sciences (2010) EMBO Short Term Fellowship Award (2013) DAAD Research Stays for University Academics and Scientists (2013, declined) Outstanding Young Researcher, Turkish Academy of Science (2010) Prof. Allmer has advised numerous doctoral and master's students throughout his career, primarily during his tenure at Izmir Institute of Technology. He has secured substantial research funding, with over 650,000 euros received for his projects. His teaching portfolio includes courses in medical informatics, bioinformatics, data mining, machine learning, and database systems across multiple institutions in Germany, Turkey, and through ERASMUS programs. He maintains active collaborations with researchers across Europe and continues to contribute significantly to both theoretical and applied aspects of bioinformatics.
Devin Schweppe is an Assistant Professor in the Department of Genome Sciences at the University of Washington. His research focuses on developing innovative proteomics approaches to understand protein interactions at a systems level, with particular applications in cancer research and drug development. Dr. Schweppe's research interests center on the interplay of chemical, cell, and systems biology through biologically-aware mass spectrometric technologies. His lab specializes in: Intelligent data acquisition in mass spectrometry Real-time database searching for spectral data analysis Quantitative proteomics of complex cellular matrices Protein-ligand interactions and small-molecule binding events Development of computational tools for proteomics (Nova, Helios, Orbiter) Large-scale proteomics databases (CysDB, XLinkDB, BioPlex, Oximouse) His current research focuses on cataloging how drugs interact with all proteins within cells, developing large-scale techniques for identifying both target and off-target protein-drug interactions that could lead to side effects, with particular emphasis on anti-cancer drugs in human cancer cell lines. His notable awards include: Pew Biomedical Scholar (2024) Andy Hill CARE Foundation Distinguished Researcher Cancer Consortium New Investigator Dr. Schweppe teaches GS 560 - Introduction to Statistical Genomics and GS 475 - Debates In Genetics. His lab actively recruits postdoctoral fellows with expertise in chemistry/biochemistry, cell biology, mass spectrometry/proteomics, or bioinformatics, and accepts graduate students through rotations in the Department of Genome Sciences and Molecular and Cellular Biology programs. The Schweppe Lab employs an interdisciplinary approach integrating cell biology, biochemistry, and proteomics to gain insights into protein regulation of essential cellular pathways, particularly in cancer contexts, developing cutting-edge approaches in computational and molecular biology to advance proteomics research.
Dr. Hooman Latifi is a Researcher at the Institute of Geography and Geology within the Faculty of Philosophy at University of Würzburg, Germany. He also maintains an affiliation with the Faculty of Geodesy and Geomatics Engineering at K. N. Toosi University of Technology in Tehran, Iran, where he is listed as a staff member with the email address hooman.latifi@kntu.ac.ir. Dr. Latifi has been working at the Chair of Remote Sensing at University of Würzburg since June 2012. Dr. Latifi received his educational background in Iran and Germany: Doctoral studies (Dr. rer. nat) at Albert-Ludwigs-Universität Freiburg (2008-2011), funded by a DAAD scholarship under the supervision of Prof. Dr. Barbara Koch M.Sc. in Natural Resources from University of Mazandaran, Iran (2003-2005), with thesis titled "Evaluating Landsat ETM+ data for forest-ecotone-rangeland mapping in the timberline of northern forests of Iran" B.Sc. in Natural Resources from University of Guilan, Iran (1999-2003) Dr. Latifi's research focuses on the application of remote sensing technologies, particularly LiDAR and satellite imagery, to forest ecology and management. His work spans multiple areas including forest inventory, biomass estimation, biodiversity assessment, and environmental monitoring. He has made significant contributions to understanding forest structure through advanced remote sensing techniques, with particular emphasis on temperate forests in Europe and forest ecosystems in Iran. His research often involves multi-sensor data fusion, combining optical, hyperspectral, and LiDAR data to improve forest parameter estimation. Analysis of Dr. Latifi's publication record from 2005 to 2022 reveals a strong focus on forest remote sensing applications. His early work focused on forest type mapping in Iran using Landsat data (2005-2008). After his doctoral studies in Germany, his research expanded to include LiDAR applications for forest structure analysis in European forests (2010-2014). In recent years (2015-2022), his work has broadened to include multi-sensor approaches, biodiversity assessment, and applications in various forest ecosystems worldwide, including agroforestry systems in Africa and invasive species mapping. His publications appear in leading remote sensing and forestry journals such as Remote Sensing, Forests, and International Journal of Applied Earth Observation and Geoinformation. Dr. Latifi has collaborated extensively with researchers across multiple institutions, particularly with colleagues at University of Würzburg (especially Prof. Barbara Koch and Dr. Markus Heurich), as well as international partners in Iran, India, Chile, and Africa. His work demonstrates a progression from regional studies in Iran to increasingly global applications of remote sensing in forest ecology. At University of Würzburg, Dr. Latifi is part of the Earth Observation Research Cluster within the Institute of Geography and Geology. His work contributes to advancing the operational application of remote sensing technologies in forest inventory and ecological monitoring, with a particular focus on transitioning research methods to practical forest management solutions.
Ryan Senger serves as Associate Professor in the Department of Biological Systems Engineering at Virginia Tech's College of Engineering, with courtesy appointments in Chemical Engineering (Virginia Tech) and Surgery (Virginia Commonwealth University School of Medicine). His research bridges metabolic engineering, synthetic biology, and biomedical diagnostics through innovative applications of Raman spectroscopy. Education: Ph.D., Chemical Engineering, Colorado State University, 2005 M.S., Chemical Engineering, Colorado State University, 2002 B.S., Chemistry, Millikin University, 1999 Senger's research focuses on developing bio-based technologies for sustainable chemical production, disease detection through urine analysis, and synthetic biology containment. His lab pioneers Raman spectroscopy-based chemometric urinalysis (Rametrix) for detecting diseases including bladder cancer, chronic kidney disease, Lyme disease, and Long COVID. Current projects involve bioelectrical system engineering in microbes, electron harvesting from waste biomass, and secure synthetic genetic material containment. His work integrates AI/ML for spectral analysis and genome-scale metabolic modeling. His recent publications demonstrate strong trends in veterinary diagnostics (canine cancer detection), neurological disease monitoring, and renal dysfunction profiling using Raman chemometrics. The research consistently applies spectral fingerprinting to translate complex biological data into clinical diagnostic tools. Awards: 2022-24: Celebrating Innovation Recognition (x4) 2023: Dean’s List of Instructors 2016: VT Knowledgeworks Innovation Challenge Winner 2009: The Gaden Award for Metabolic Engineering Senger actively mentors students through laboratory research and teaches courses including Thermodynamics of Biological Systems, Metabolic Engineering, and Bio-Raman Chemometrics. His funding portfolio includes NSF grants for metabolic modeling workshops and commercial projects with Rametrix Technologies (where he serves as CTO), focusing on dialysis patient monitoring, renal disease management, and aquaculture feed development. He directs the Rametrix Technologies research team that develops urine-based diagnostic devices and spectral analysis software, maintaining strong industry-academic partnerships for technology commercialization.
Rosario Iaria serves as an Associate Professor in the Department of Physics and Chemistry at the University of Palermo, Italy, where he maintains active teaching and research responsibilities. His academic profile demonstrates continuous engagement with the university since at least 2011, teaching specialized courses including High Energies Astrophysics with Laboratory and Planetary Volcanism across Physics and Georisks programs. His research expertise spans several critical domains in modern astrophysics: High energy phenomena in X-ray binary systems Neutron star physics and accretion processes Cyclotron line formation and variability in pulsars Time-domain analysis of transient cosmic events Development of machine learning techniques for X-ray spectral analysis Multi-messenger approaches to gamma-ray burst studies Analysis of his recent publications (2024-2025) reveals a strong methodological focus on spectral and timing techniques applied to extreme astrophysical environments. His work frequently utilizes data from major observatories including NICER, NuSTAR, XMM-Newton, and Fermi, with particular emphasis on orbital dynamics in X-ray binaries, cyclotron line physics, and reflection spectroscopy in compact object systems. Dr. Iaria's contributions extend to instrumental development projects such as HERMES (Gamma-ray burst and gravitational wave counterpart hunter) and theoretical investigations into quantum gravity phenomena. His research bridges observational data analysis with theoretical modeling, advancing our understanding of matter under extreme gravitational and magnetic fields.
Professor Fiona Lyng serves as Research Centre Manager at the Radiation and Environmental Science Centre (RESC) within the School of Physics, Clinical and Optometric Sciences at Technological University Dublin, while also holding School Associate and Hub Associate positions. With over 25 years of research experience since her PhD, she maintains active leadership in radiation science and cancer diagnostics. Her educational foundation includes a BSc in Physics and Chemistry (1st Class Honours) from Trinity College Dublin / Dublin Institute of Technology (1991) and a PhD in Biophysics from University College Dublin (1995). Postdoctoral training followed at Daresbury Laboratory (UK) and University College Cork through prestigious fellowships. Professor Lyng's research pioneers optical spectroscopy technologies for cancer applications, with emphasis on Raman spectroscopy for early detection, diagnosis, and radiation response assessment. Her fingerprint spans Raman Spectrometry, Cervical Cancer, Cell Line studies, Cytotoxicity, and Vibrational Spectroscopy, reflecting a multidisciplinary approach to translating biophotonics into clinical oncology solutions aligned with UN SDG3. Recent publications demonstrate consistent innovation in spectroscopic cancer diagnostics, including ex-vivo radiosensitivity detection, oral leukoplakia identification, and radiation effect mechanisms. These works highlight her leadership in applying spectroscopic methods to address unmet clinical needs in cancer care. Her accolades include the Enterprise Ireland ‘One to Watch’ award and multiple competitive fellowships. Professional leadership encompasses presidency of the European Radiation Research Society and current Secretary-Treasurer role at the International Association for Radiation Research. Professor Lyng has supervised 32 PhD and 2 MPhil students while mentoring 12 postdocs and 3 MSCA Fellows. Her €6 million funding portfolio from EU and national bodies supports over 20 major research projects, enabling translational work at the RESC facility. As Centre Manager since 2003, she directs a collaborative environment focused on radiation science applications for health innovation.
