Daniela Brigitte Schuster is a Professor and Deputy Dean of the University Institute of Pharmacy at Paracelsus Medical University in Salzburg, Austria. She serves as Head of the Department of Pharmaceutical and Medicinal Chemistry and holds roles in the Rectorate . Her research focuses on pharmacology , toxicology , and drug discovery , particularly investigating mechanisms of drug action, pesticide toxicity, and natural product-based therapies. She leads projects like ZNS-Toxizität (CNS toxicity studies) and contributes to initiatives such as Phytoniq exploring phytochemicals. Her academic contributions span 542 publications and 6 research projects , with recent work emphasizing pharmacophore modeling for predicting drug interactions and environmental toxin effects. She actively engages in academic outreach, delivering 53 lectures and presentations , including invited talks on immunotoxicity and drug development pathways. Key research themes include: Anthelmintic phytochemicals and microtubule inhibition mechanisms Janus kinase inhibitors and pesticide-induced immunotoxicity Computational methods for drug discovery and toxicity assessment Endocrine disruptor modeling via homology studies She coordinates interdisciplinary teams and maintains an active presence in both original research (59% of publications) and review articles , contributing to both scientific discourse and practical drug development strategies.
Jacquelyn Michelle Noronha-Hostler serves as Associate Professor in the Department of Physics at the University of Illinois Urbana-Champaign and holds a parallel appointment as Associate Professor at the National Center for Supercomputing Applications (NCSA), demonstrating her dual expertise in theoretical nuclear physics and high-performance computational methods. Her research program leverages supercomputing infrastructure to model extreme states of matter created in relativistic nuclear collisions. Her primary research domains encompass Quantum Chromodynamics (QCD), relativistic hydrodynamics, heavy-ion collision dynamics, and quark-gluon plasma characterization. She specializes in developing computational frameworks for smoothed particle hydrodynamics to investigate collective flow phenomena, conservation laws for quantum numbers (baryon number, strangeness, charge), and precision signatures of phase transitions in nuclear matter. Her work bridges theoretical predictions with experimental data from facilities like the Relativistic Heavy Ion Collider and Large Hadron Collider. Analysis of her 2025 publications reveals three dominant research thrusts: (1) precision studies of collectivity using exotic isotopes like neon-20 in small collision systems, (2) Bayesian statistical approaches to locate the QCD critical point through holographic duality methods, and (3) jet quenching phenomena in quark-gluon plasma characterized by nuclear modification factors and elliptic flow. These efforts consistently involve large international collaborations, as evidenced by multi-institutional authorship across her 124 total research outputs. No scientific awards were documented in the provided materials. While student advising details are absent from the scraped content, her active grant-funded research program (implied by NCSA affiliation and computational focus) likely supports graduate researchers. Specific grant mechanisms remain unmentioned in the available text. Her NCSA appointment indicates leadership within computational physics teams utilizing supercomputing resources for nuclear theory simulations. Though specific laboratory names aren't provided, her work inherently connects to the Blue Waters and Delta supercomputing initiatives at NCSA, where she contributes to developing hydrodynamic frameworks like v-USPhydro for relativistic collision modeling.
Dr. Chen Wang serves as an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Hong Kong, with visiting appointments at the University of Cambridge Faculty of Economics during June-August 2024, July-August 2022, and July-December 2019. His academic position and active research output confirm his status as a current faculty member engaged in interdisciplinary statistical research. His core research focuses on: Random Matrix Theory for high-dimensional covariance estimation Time Series Analysis in complex stochastic systems High-dimensional Data Analysis methodologies These statistical frameworks provide foundational tools for modern data-intensive scientific domains. Analysis of his 2022-2025 publications reveals a strategic expansion into biomedical AI applications, particularly in single-cell genomics and spatial biology. His work demonstrates consistent innovation in developing AI agents for biological experimentation (e.g., PerTurboAgent for Perturb-seq, SpatialAgent) and advancing molecular design through diffusion models. This trajectory shows a deliberate integration of his statistical expertise with cutting-edge computational biology challenges. No scientific awards or honors were documented in the provided materials. The available information contains no details regarding graduate student supervision, research grant funding, or laboratory affiliations. His visiting positions at Cambridge suggest collaborative international research activities, but specific advising relationships or grant mechanisms remain unreported in the source text.
Mengfei Ho serves as a Research Assistant Professor and Senior Research Scientist in the Department of Microbiology at the University of Illinois. With 55 total research outputs, Dr. Ho has established expertise in bacterial pathogenesis and toxin mechanisms, particularly focusing on Pasteurella multocida Toxin and cytotoxic necrotizing factors. Dr. Ho's research spans multiple critical areas of microbiology and molecular pathogenesis. Their work investigates how bacterial toxins interact with host cellular machinery, with specific emphasis on: Mechanisms of cytotoxic necrotizing factor (CNF) toxins Protein modification through deamidation and transglutamination Endosomal escape pathways of bacterial toxins Microbial genomics of drug-resistant pathogens Development of computational methods for toxin identification Molecular interactions between bacterial toxins and host G proteins Recent publications demonstrate Dr. Ho's innovative approaches combining molecular biology, biochemistry, and computational methods to address fundamental questions in bacterial pathogenesis. Their 2024 work on hierarchical determinants in CNF toxins and machine learning applications for toxin identification represents cutting-edge research in the field. Dr. Ho actively collaborates with Dr. B. A. Wilson and other researchers, with publications appearing in high-impact journals including mBio, Molecular Systems Biology, and Journal of Biological Chemistry. Their research has garnered significant attention, with multiple publications receiving substantial readership on academic platforms like Mendeley and coverage in news outlets. The research fingerprint analysis confirms Dr. Ho's specialization in Pasteurella multocida Toxin (100% weighting), Pasteurella multocida (86%), and G Protein interactions (47%), positioning them at the forefront of bacterial toxin research. Current work appears focused on understanding molecular determinants of toxin function and developing novel approaches for identifying and characterizing bacterial virulence factors.
Feargal Brennan is the James Blyth Distinguished Professor of Offshore Engineering at the University of Strathclyde, within the Faculty of Engineering, Department of Naval Architecture, Ocean and Marine Engineering. He serves as Research Director of the Wind & Marine Systems and Structures (WAMSS) Centre for Doctoral Training, Principal Investigator of Ocean-Refuel, and Co-Investigator of CoTide UKRI/EPSRC Programmes. He is actively involved in national and international energy policy and research leadership. His research focuses on offshore renewable energy systems, particularly wind and tidal energy technologies. Key areas include structural integrity of marine systems, hydrodynamics of floating platforms, digital twin applications for risk-based inspection, and fluid-structure interaction in wave energy converters. His work integrates experimental, computational, and real-world engineering solutions to advance sustainable offshore infrastructure. The recent publications highlight a strong trend in wave and tidal energy conversion, material degradation in marine environments, and digital twin integration for offshore safety. These works span journals in energy, ocean engineering, and applied mechanics, reflecting interdisciplinary expertise in mechanical, ocean, and energy engineering with a focus on sustainability and resilience. CEng (Chartered Engineer) FIMechE (Fellow of the Institution of Mechanical Engineers) James Blyth Distinguished Professor Expert Witness, London Court of International Arbitration Member, UK Government Department of Energy Security and Net Zero Science Expert Group Director and Offshore Wind Champion, EPSRC Supergen Offshore Renewable Energy Programme UK Standing Member and Leader, International Ship and Offshore Structures Congress (ISSC) Board Member, Global Underwater Hub (GUH) Member, Scottish Offshore Wind Energy Council (SOWEC) Academic Advisory Board Member, Net Zero Technology Centre (NZTC) Brennan leads and co-investigates multiple funded research projects, including Strathclyde Inspire Gate Awards for commercialization and patent development, and large-scale programs like CoTide and Supergen ORE Hub. He supervises PhD students through the WAMSS CDT and has advised numerous researchers, as evidenced by co-authorships and project roles. His grants are primarily funded by EPSRC, UKRI, and industry partnerships. He contributes to major research initiatives such as the Wind & Marine Systems and Structures (WAMSS) Centre for Doctoral Training and collaborates across institutions and industries to advance offshore renewable technologies. His team engages in experimental, numerical, and policy-oriented research, with datasets shared via Zenodo and participation in international conferences like the International Conference on Computational Methods in Marine Engineering.
Diego Vidaurre Henche is a Professor in the Department of Clinical Medicine at Aarhus University's Center of Functionally Integrative Neuroscience in Denmark. His research focuses on using modeling and machine learning techniques to characterize and better understand self-generated activity in the brain, and how this activity shapes our perception and our relation to the world. His areas of expertise include: Computational neuroscience Machine learning Statistics Dr. Vidaurre's research spans multiple neuroscience domains with a strong focus on functional connectivity (100%), functional magnetic resonance imaging (88%), magnetoencephalography (70%), hidden Markov models (58%), brain networks (47%), behavior (46%), electroencephalography (35%), and dynamic functional connectivity (19%). His publication record shows consistent productivity with 60 research outputs spanning from 2007 to 2025, with increasing output in recent years. His scientific impact is evident through social media mentions (Bluesky, X, Facebook), news coverage, and academic readership on Mendeley. His work appears in high-impact journals including Nature Neuroscience, eLife, and Human Brain Mapping, demonstrating significant contribution to the field of computational neuroscience. Dr. Vidaurre has supervised PhD students and maintains active international collaborations across multiple countries, reflecting the global relevance of his research on brain dynamics and neural communication.
Dr. Robin Wijsman is a researcher at the University of Groningen's Faculty of Medical Sciences, specializing in the Personalized Cancer Treatment department. With 80 research outputs and 15 professional activities documented, Dr. Wijsman focuses on optimizing radiation therapy protocols for lung cancer patients, particularly investigating proton therapy applications and treatment outcomes. Research interests center on non-small cell lung cancer treatment modalities, with specific expertise in proton therapy (72% of research footprint), chemoradiation therapy (67%), and radiation therapy (33%). Current work examines cardiac structure dosing effects, quality of life recovery post-treatment, and immunotherapy-radiation combinations. Recent publications demonstrate a clear trajectory toward personalized radiation oncology, with emphasis on model-based patient selection for proton therapy, dose escalation strategies, and biomarker identification for treatment response prediction. The research consistently addresses Stage III NSCLC treatment challenges through multi-institutional collaborations. Professional activities include academic presentations on proton therapy implementation (2023-2024) and contributions to studies examining cardiac function after thoracic irradiation, reflecting active engagement in both clinical application and physiological impact research. Dr. Wijsman leads the Personalized Cancer Treatment research group, collaborating extensively with radiation oncology specialists across multiple institutions to refine cancer treatment protocols and improve patient outcomes through evidence-based radiation therapy approaches.
Dorothy Richards serves as a Lecturer in the Department of Accounting and International Business at the University of Houston-Downtown (UHD), teaching core accounting courses including Financial Accounting, Managerial Accounting, and Intermediate Accounting series since at least 2010. Her teaching philosophy centers on accounting's structured nature and the transformative 'AH-HA' moments when students overcome conceptual barriers. Education: MS in Accounting, University of St. Thomas BS in Mathematics, University of Oklahoma Her research spans practical accounting applications, business intelligence, and specialized taxation. Engaged in consulting for BioTierra Biodiversity Research Gardens' Projects since 2008, her work bridges academic theory with real-world business challenges across diverse sectors including non-profits and manufacturing. She emphasizes how accounting principles create tangible business value through precise financial structuring. Her scholarly output (2010-2017) reveals consistent focus on accounting's evolving role in business ecosystems - from equity method standardization and business intelligence integration to entrepreneurial tax planning and career development pathways. This portfolio demonstrates applied research connecting classroom theory with industry practice, particularly in niche areas like artist taxation and hobby-to-business transitions. Scientific Awards: No scientific awards, fellowships, or medals documented Ms. Richards maintains an active consulting practice since 1992, serving as accountant/consultant for BioDiversity Research Laboratory (non-profit), Eagle Metalizing Company, Triangle Recycling LLC, Pine Needle IV LLC, and other entities. Departmentally, she coordinated Financial Accounting courses (2022-2023) and served on the ACCI Annual Performance Evaluation Committee (2021-2022), while providing public service as Accountability Advisor for West Houston Animal Rescue since 2008. Within UHD's academic framework, she contributes to curriculum development through course coordination and implements modern teaching technologies including Blackboard, Respondus, and Zoom - reflecting continuous engagement with evolving pedagogical standards in accounting education.
Dimitrios Bakas is an Associate Professor in Economics at the Department of Economics, Nottingham Business School, Nottingham Trent University. He serves as an Associate Editor for Economic Issues and holds a Research Fellowship at the Rimini Centre for Economic Analysis (RCEA). Current role: Associate Professor (2021–present) Previous roles: Senior Lecturer (2017–2021), Lecturer (2015–2017) Professional affiliations: UK Higher Education Academy (HEA), RCEA Research Focus: Empirical Macroeconomics and Applied Econometrics, with emphasis on macro-financial linkages, inflation dynamics, labor market fluctuations, and commodity price volatility. His work explores how economic uncertainty, financial crises, and policy shocks affect global markets and growth trajectories. Article Trends: His publications (2012–2025) span commodity markets , macroeconomic uncertainty , financialization , and labor dynamics , with recurring themes in econometric modeling and policy implications for international economies. Scientific Contributions: Developed frameworks for understanding commodity price volatility as leading economic indicators Analyzed microcredit impacts in Sub-Saharan Africa Investigated unemployment hysteresis and labor reallocation mechanisms Examined trade disintegration effects post-NAFTA Contributed to financialization theory through credit-debt paradox analysis
Charles Courtney is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath and a member of the Centre for Integrated Materials, Processes and Structures (IMPS). His research focuses on ultrasound applications in non-destructive testing (NDT), structural health monitoring (SHM), and microparticle manipulation. Key collaborations: Innovate UK, EU Horizon 2020, and EPSRC Current projects include AI-driven battery management systems using ultrasonic digital twins, aircraft noise reduction with metamaterials, and rapid inspection of complex geometries. Research Interests Ultrasound technology for lithium-ion battery monitoring, structural integrity of carbon-fiber composites, and acoustic particle manipulation. His work aligns with UN Sustainable Development Goals through energy storage innovation and aerospace safety. Publications Recent outputs include ultrasonic battery diagnostics, piezoelectric micro-robotics, and edge-wave damage detection in composites, demonstrating interdisciplinary expertise in acoustics, materials science, and sustainable engineering. Collaborations Active partnerships with EU Horizon Europe, Innovate UK, and industry stakeholders for battery management and aerospace material testing. Supervision Accepting doctoral students in ultrasonic NDT, SHM, transducer design, and acoustofluidics.
Jiliu Zhou is an active academic researcher with a focus on medical imaging, artificial intelligence, and biomedical engineering. His work spans topics such as PET image reconstruction, radiotherapy dose prediction, and domain adaptation, often employing advanced deep learning techniques like GANs, Transformers, and diffusion models. Collaborations with experts like Yan Wang, Xi Wu, and Dinggang Shen highlight his interdisciplinary approach. Research interests include Medical Imaging: Developing algorithms for PET and MRI reconstruction. Deep Learning: Applying GANs, Transformers, and diffusion models to medical data. Domain Adaptation: Enhancing robustness in multi-source environments. Image Processing: Innovating segmentation and super-resolution methods. His recent publications demonstrate trends in semi-supervised learning , contrastive strategies , and multi-task frameworks for medical applications. Despite no explicit awards or grants mentioned, his prolific output in top journals and conferences underscores significant contributions to biomedical image analysis.
Ilya Auslender is an Assistant Professor in the Department of Physics at the University of Trento, focusing on interdisciplinary applications of artificial intelligence to neuroscience. His research bridges computational modeling, mathematical physics, and optogenetics, with a particular emphasis on reservoir computing techniques for neuronal network analysis. Current faculty at the University of Trento Department of Physics affiliation Active research in AI-driven neuroscience Research interests include: Decoding neuronal connectivity and functionality Optogenetic stimulation localization Advanced electrophysiological data analysis Dynamic modeling of synaptic ensembles Development of AI-integrated experimental setups Beam quality optimization in diode pumped alkali lasers Recent publications analyze: Reservoir computing for neuronal network prediction In vitro optogenetic experiments Memory induction through photonic projection Beam quality dependencies in Cs DPAL systems Flowing-gas laser dynamics Key collaborative projects involve: Neural photonic interfaces Hybrid computational-biological systems Multi-electrode data modeling
Semih Beyçimen is a Lecturer in the Department of Control and Automation Engineering at Istanbul Technical University, College of Engineering. His research focuses on autonomous systems, robotics, and mechanical dynamics, with applications in unmanned ground and aerial vehicles. His research interests include: Autonomous Navigation and Control Sensor Fusion (LiDAR, Vision) Terrain Traversability for UGVs Structural Vibration Analysis End-to-End Learning for Robotics The recent publications (2020–2024) reflect a strong trend in autonomous vehicle perception and navigation, combining computer vision and point cloud data, along with fundamental mechanical modeling of cracked structures. His work appears in IEEE, AIAA, and international engineering journals. Scientific contributions include: h-index of 30 (Scopus) 4 research outputs in 5 years International collaborations (UK, Russia) He advises no publicly listed students and participates in research on intelligent systems and structural mechanics. No grant or award information is available. He is actively contributing to the advancement of autonomous systems and mechanical modeling.
Josip Mikulić is a full Professor at the Department of Tourism, Faculty of Economics and Business, University of Zagreb, and serves as a scientific advisor at the Institute of Tourism in Zagreb. He held the position of Head of Department of Tourism for three consecutive terms (2016-2022). Current affiliations: University of Zagreb (Department of Tourism), Institute of Tourism Zagreb Academic rank: Professor Languages: English, German, French Research Interests span tourism economics, destination branding, customer satisfaction analysis, sustainable tourism development, and spatial economic impacts of tourism. His work addresses methodological challenges in structural equation modeling while maintaining practical relevance through strategic advisory roles in Croatian tourism organizations. Scientific Awards include: State Award for Science (2012, 2023) Alexander von Humboldt Fellowship (2023/2024) His Publications focus on asymmetric relationships in tourism research, economic leakages analysis, and tourism's impact on housing markets. Key journals include Annals of Tourism Research , Tourism Management , and International Journal of Contemporary Hospitality Management . Additional roles: Member, Executive Board of Croatian Academy of Sciences and Arts (HAZU) Tourism and Space Council Member, Croatian Science Foundation (HRZZ) Complaints Committee Active in governmental working groups for national tourism strategy Contributor to expert studies for tourism organizations Columnist on hrturizam.hr and Lider magazine
Craig Liddicoat is a Research Fellow in the Department of Biological Sciences at Flinders University , affiliated with the College of Science and Engineering . He conducts interdisciplinary research at the intersection of environmental microbiomes, restoration ecology, and human health, with a focus on DNA-based environmental surveys. He is a member of Dr. Martin Breed’s research lab and contributes to the 'People, Cities & Nature' program in Aotearoa New Zealand. His educational background includes: PhD in Bioscience (Biodiversity, Environmental Microbiomes and Human Health), University of Adelaide (awarded 2019) Bachelor of Environmental Science Bachelor of Engineering (Mechanical, First Class Honours) Liddicoat's research centers on understanding how soil microbial communities influence ecosystem and human health, particularly in the context of post-mining restoration and urban greening. He applies genomics and digital soil mapping techniques to assess microbiome health and inform restoration strategies. His work supports several UN Sustainable Development Goals, including those related to health, sustainable cities, and life on land. His recent publications (2024–2025) emphasize the role of soil microbiota in ecosystem restoration, microbial community assembly in plant systems, bioenergetic profiling of microbiomes, and predictive modeling of native flora distributions. These works span journals such as Biological Reviews , Science of The Total Environment , and Ecology and Evolution , indicating a strong trend toward integrative, solution-oriented environmental science. His scientific awards include: Bradshaw Medal (2023) University Doctoral Research Medal, University of Adelaide (2019) School of Biological Sciences Postgraduate Academic Achievement Award, University of Adelaide (2019) Liddicoat has extensive experience in natural resource management and has contributed to national digital soil assessment initiatives through TERN and the Australian Collaborative Land Evaluation Program. Though no formal students are listed, he collaborates widely across disciplines, including public health and data science. He also holds an adjunct position as Senior Fellow in the School of Public Health at the University of Adelaide. His research is supported by robust publication output and external recognition, indicating active grant engagement and collaborative leadership. He is a key contributor to research networks focused on environmental health, microbial ecology, and sustainable land use, operating within interdisciplinary teams at Flinders University and beyond.
