جست‌وجوی استاد و پژوهشگر

• Machine Learning in Materials Science
• AI for Biomaterials
• Lignin-Carbohydrate Complexes
• +۳ مورد دیگر

Dr. Matthias Stosiek is a Lecturer and researcher at the Technical University of Munich (TUM) , affiliated with the TUM School of Natural Sciences , Department of Physics , and the Chair of AI-based Materials Science led by Prof. Dr. Patrick Rinke. His role involves both teaching and advanced research in applying machine learning to materials science and biophysical systems. Education: PhD (Dr. rer. nat.), Universität Regensburg , 2020. Dissertation: "Self-consistent-field ensembles of disordered Hamiltonians: Superconductor-Insulator Transition" under Prof. Dr. Ferdinand Evers. Research Interests: Dr. Stosiek's research integrates machine learning with materials science and biophysics . He focuses on understanding the structure-property relationships of Lignin-Carbohydrate Complexes (LCCs) , a key component in plant biomass. His work includes developing AI-driven models to predict and optimize material properties, contributing to sustainable materials and biorefinery processes. He also explores disordered systems and superconductivity , particularly the superconductor-insulator transition in 2D materials. Publications Overview: His recent publications (2018–2025) span machine learning applications in materials science , including datasets for LCCs, optimization of polymer actuators, and AI-guided biorefinery processes. Earlier works delve into quantum transport and superconductivity in disordered systems , highlighting his expertise in both fundamental physics and applied AI. Teaching: Dr. Stosiek co-teaches courses such as "Introduction to Machine Learning for Materials Science 2" and its associated computer tutorials. He also supervises student theses, fostering the next generation of interdisciplinary scientists. Labs & Teams: He is an integral part of the Chair of AI-based Materials Science , working alongside Prof. Rinke and a multidisciplinary team including Casper Larsen, Xiangzhou Zhu, Nitik Bhatia, and Prajwal Pisal. The group is located at the Garching campus, a hub for cutting-edge research in physics and materials science at TUM.

Cristin Welleمشاهده پروفایل

استاد

• Neural Interfaces
• Neuromodulation
• Brain-Computer Interfaces
• +۵ مورد دیگر

Cristin Welle is a Professor in the Department of Neurosurgery and Physiology & Biophysics at the University of Colorado Anschutz Medical Campus School of Medicine, where she also serves as Vice-Chair for Research in Neurosurgery. Her academic journey includes a PhD from the University of Pennsylvania (2010) and a BS from the College of William and Mary in Virginia (2004). Dr. Welle leads the BIOElectrics Lab which investigates how neurological medical devices interact with the nervous system. Her research focuses on dissecting circuit-level structural and functional implications of neuromodulatory and brain-computer-interface devices using advanced techniques including optogenetics, chronic electrophysiology, and longitudinal in-vivo imaging in animal models. The lab's primary goal is to understand the dynamic interactions between devices and neural circuits in the context of translational neurotechnology. Her recent publications demonstrate a strong focus on neural interfaces, with particular emphasis on vagus nerve stimulation mechanisms, chronic neural implant responses, and advanced imaging techniques for neural structures. The research spans from fundamental neural circuit investigations to practical applications for motor rehabilitation, brain injury assessment, and neural device safety. Dr. Welle is an active member of the Society for Neuroscience and has contributed to multiple high-impact collaborative projects including the Deep Brain Stimulation Think Tank. Her work bridges engineering, neuroscience, and clinical applications, with significant contributions to understanding how neural interface technologies can be optimized for therapeutic use. The BIOElectrics Lab maintains a multidisciplinary approach combining optics, electrophysiology, and neural interface technologies to push the boundaries of neurotechnology. Their research has been featured in prominent media outlets discussing emerging trends in neural stimulation and brain-computer interfaces.

Ali Karakusمشاهده پروفایل

پژوهشگر ارشد

• CFD
• high-order methods
• multiphase flows
• +۲ مورد دیگر

Ali Karakus serves as a Research Fellow at Argonne National Laboratory, actively contributing to the Computational Engineering Education and Design (CEED) project within the Exascale Computing Project framework. His work bridges advanced computational mathematics with high-performance engineering applications, specializing in GPU-accelerated numerical methods for fluid dynamics simulations. His research program centers on high-order discontinuous Galerkin methods, with particular expertise in multiphase flow modeling using adaptive level set techniques, polymer processing simulations, and exascale solver development. Key methodological innovations include local time-stepping algorithms, subcell stabilization approaches, and memory-optimized multigrid preconditioners that maintain design-order accuracy while maximizing GPU utilization. His publications consistently demonstrate rigorous validation against benchmark problems including dam-break scenarios, Rayleigh-Taylor instabilities, and thermal convection systems. Analysis of Karakus's 15 most recent publications (2020-2024) reveals three dominant research trajectories: (1) performance optimization of high-order methods for GPU architectures, (2) extension of discontinuous Galerkin frameworks to complex physical phenomena like weakly compressible flows, and (3) pioneering integration of physics-informed neural networks with traditional CFD solvers. This evolution reflects the broader computational science community's shift toward hybrid AI-numerical approaches while maintaining rigorous mathematical foundations. Within Argonne's computational mathematics division, Karakus collaborates with multidisciplinary teams on open-source software development including NekRS (spectral element solver) and libParanumal (high-order finite element library). His work directly supports Department of Energy initiatives for next-generation exascale applications, with documented performance improvements on Summit and Sierra supercomputers through the CEED project's milestone deliverables.

Barbara Wirthlمشاهده پروفایل

پژوهشگر

• Computational Transport Oncophysics
• Nanomedicine
• Immunotherapy
• +۵ مورد دیگر

Barbara Wirthl is a Researcher at the Institute for Computational Mechanics, Technical University of Munich (TUM), specializing in computational oncology and nanomedicine applications. She teaches advanced courses including Nonlinear Continuum Mechanics and Introduction to Current Research Topics in Computational Mechanics while conducting cutting-edge research on cancer therapy modeling. Her educational background includes: PhD in Mechanical Engineering, Technical University of Munich (2018-2023) Master of Science in Mechanical Engineering, Technical University of Munich (2018) Dr. Wirthl's research focuses on Computational Transport Oncophysics and Nanomedicine , with expertise in magnetic nanoparticle delivery systems , tumour growth modeling , and porous media mechanics . Her work integrates biomechanics with cancer immunotherapy, developing physics-based computational frameworks for optimizing nanoparticle-based treatments. She employs advanced techniques in sensitivity analysis and uncertainty quantification to address complex biological systems. Analysis of her 2020-2025 publications reveals a strong trajectory toward integrating multiphase porous media models with clinical oncology applications. Her recent work emphasizes solver-independent computational frameworks (QUEENS), magnetic hyperthermia integration, and immune cell manipulation using nanoparticles. The research consistently bridges engineering mechanics with translational medicine, demonstrating increasing sophistication in modeling tumor microenvironments and treatment response. Dr. Wirthl actively supervises graduate student research projects including Master's theses on computational angiogenesis modeling, term papers on interstitial fluid flow interactions, and MSE research internships on pharmacokinetics in tumor models. She has co-supervised multiple visualization and parameter study projects for tumor growth simulations with colleagues Jonas Nitzler and Johannes Kremheller. She operates within the Laboratory for Numerical Mechanics (LNM) under Prof. Wolfgang A. Wall at TUM's Institute for Computational Mechanics, contributing to a multidisciplinary team focused on computational biomechanics applications in medical science. Her work leverages high-performance computing resources for complex tumor microenvironment simulations and nanoparticle transport modeling.

Charles Q. Jiaمشاهده پروفایل

استاد

• Nanoporous Carbon Materials
• Environmental Engineering
• Waste Valorization
• +۳ مورد دیگر

Charles Q. Jia is a Professor in the Faculty of Applied Science and Engineering at the University of Toronto, serving as Associate Chair for Continuing Professional Development and Interim Associate Chair for Graduate Studies. He leads the Green Technology Laboratory as Principal Investigator, focusing on sustainable material innovation. His academic credentials include a B.Eng. and M.Eng. from Chongqing University and a Ph.D. from McMaster University, complemented by Professional Engineer (P.Eng.) licensure through Professional Engineers of Ontario. Professor Jia's research centers on developing nanoporous carbon materials from biomass and industrial waste for environmental and energy applications. His work spans air/water purification, capacitive energy storage, and waste valorization, with recent emphasis on structure-property relationships in biochar monoliths and carbon nanotubes. The Green Technology Laboratory pioneers negative emission technologies, creating functional materials for solar-driven desalination and renewable energy storage systems. His publication record reveals consistent innovation in sustainable materials, with recurring themes in mercury removal mechanisms, supercapacitor electrode design, and aerosol pollution modeling. Key trends include transitioning from fundamental carbon characterization (2010-2015) toward integrated device development (2016-2021), particularly in monolithic biochar applications. Major recognitions include: Fellow, Canadian Academy of Engineering (CAE) Fellow, Chemical Institute of Canada (CIC) As Principal Investigator, he directs multidisciplinary research teams in securing grants for carbon material synthesis and environmental impact studies. His mentorship focuses on graduate student training in sustainable engineering, though specific advisee names aren't publicly listed. Current projects emphasize industrial waste valorization and climate-responsive material design. The Green Technology Laboratory operates as a hub for experimental carbon engineering, featuring pyrolysis reactors, electrochemical test benches, and pollutant characterization tools. Ongoing work integrates machine learning with material science to optimize carbon structures for specific environmental applications.

• Pain Management
• Anesthesiology
• Neuromodulation
• +۳ مورد دیگر

Magdalena Anitescu is a Professor in the Department of Anesthesia and Critical Care at the University of Chicago. Her work focuses on pain management , particularly in neuromodulation and pharmacogenomics , with significant contributions to understanding spinal cord stimulation and opioid-free perioperative strategies . Education: MD, Medicine - University of Medicine 'Carol Davila', Bucharest, Romania (1992) PhD, Ophthalmology - University of Medicine Craiova, Romania (1997) Internship - University of Iowa Hospitals and Clinics (1999) Residency - University of Pittsburgh Medical Center (2002) Fellowship - Cleveland Clinic Foundation (2003) Her research spans chronic pain , postoperative pain , and multidisciplinary pain fellowship programs , particularly during the COVID-19 pandemic . Recent publications examine spinal cord stimulation waveforms , genicular artery embolization , and ketamine infusions for sickle cell disease . She has collaborated on pharmacogenomic decision support systems in perioperative care (ImPreSS Trial) and co-authored practice advisories on contrast agent use in interventional pain procedures. Her clinical focus includes neuropathic pain , electrical injury outcomes , and innovations in pain fellowship education . She actively engages in telehealth education and gender equity in neuromodulation conferences.

Gareth Conduitمشاهده پروفایل

استاد

• Strongly correlated electron systems
• Machine learning for materials discovery
• Machine learning for drug discovery
• +۵ مورد دیگر

Gareth Conduit is a Professor-level Research Fellow in the Theory of Condensed Matter Group at the Cavendish Laboratory, University of Cambridge, and a Fellow of Gonville and Caius College. He leads a multidisciplinary programme that couples condensed-matter theory with modern machine-learning methodology to accelerate the discovery of functional materials and pharmaceuticals. Education & Affiliations: Fellow of Gonville and Caius College, Cambridge Research Fellow, Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge Research Interests: Conduit’s work spans two major themes. The first is strongly correlated quantum matter , where he employs quantum Monte-Carlo techniques to explore itinerant ferromagnetism, superconductivity and few-fermion systems, often in collaboration with ultracold-atom experiments. The second is AI-driven materials & drug discovery , where his group develops the Alchemite™ probabilistic deep-learning platform to impute sparse, noisy experimental data and design new alloys, superalloys, concrete formulations and therapeutic candidates. Projects have led to the experimental validation of five proprietary alloy families and are now commercialised through the spin-out Intellegens . Publication Trends: His 2022-2025 output demonstrates a strategic shift toward large-scale, multi-task deep learning deployed on industrial data sets—ranging from 3-D woven composites and superalloy microchemistry to concrete strength and nicotine pharmacokinetics—while maintaining foundational contributions to quantum many-body theory and metamaterial design roadmaps. Scientific Awards: No awards are listed in the supplied material. Funding & Commercial Impact: Conduit has secured substantial industrial funding ( Rolls-Royce, Johnson Matthey, AstraZeneca, Unilever, etc.) to translate AI predictions into certified materials and drug candidates. The Alchemite engine is now embedded in industrial R&D workflows for aerospace alloys, battery electrodes and pharmaceutical formulations. Teams & Facilities: He leads an active research group within the TCM theory division, maintains close ties with the Cavendish’s ultracold-atom experimental programme, and collaborates globally through the OPTIMADE consortium for materials data interoperability.

• Inorganic Chemistry
• Solid State Chemistry
• Electrochemistry
• +۱ مورد دیگر

Maria de Lurdes Franco Ciriaco serves as an Associate Professor in the Department of Chemistry at the University of Beira Interior (UBI), Portugal. She is actively affiliated with the FibEnTech research unit (Fiber Materials and Environmental Technologies), focusing on sustainable materials and environmental solutions. Her teaching portfolio includes core chemistry courses such as Chemistry I, Inorganic Chemistry, and Materials Chemistry for the 2025 academic year, contributing significantly to undergraduate science education. Her research expertise spans: Inorganic and Solid State Chemistry, with emphasis on perovskite materials for electrochemical applications Electrochemistry, particularly advanced electrode materials and processes Environmental Chemistry, targeting electrochemical degradation of organic pollutants in water systems This interdisciplinary work bridges materials science and environmental engineering to develop innovative water treatment solutions through advanced oxidation processes. Analysis of her publication record (2001-2010) reveals consistent specialization in electrochemical water treatment technologies. Key research trajectories include: Development and optimization of boron-doped diamond electrodes for pollutant degradation Systematic investigation of structure-activity relationships across diverse organic contaminants Quantification of combustion efficiency and mineralization pathways in electrochemical oxidation Comparative studies of electrode materials (Si/BDD, Ti/Pt/PbO 2 ) for specific pollutant classes Her work demonstrates rigorous methodology in connecting chemical structure, operational parameters, and treatment efficacy, establishing her as a substantive contributor to environmental electrochemistry. No scientific awards were documented in the source material. The available information does not specify doctoral students supervised or research grants managed by Professor Ciriaco. Within the FibEnTech research unit, she contributes to multidisciplinary efforts developing fiber-based materials and environmental technologies, with particular focus on advanced oxidation processes for water purification and sustainable material solutions.

• Tourism Information Systems
• GIS Technologies in Tourism
• Personnel Management Information Systems
• +۵ مورد دیگر

Морозов Денис Миколайович is an Associate Professor and Head of the Department of Information Technologies in Tourism at Zaporizhia National Technical University's Faculty of Business Technologies and Economics. With a multidisciplinary background spanning engineering, economics, and management, he has been actively contributing to the university since 2007. His educational background includes three degrees: a Specialist in Personnel Management and Labor Economics from ZNTU's Faculty of International Tourism and Economics (2013), a Master of Mechanics from ZDTU's Faculty of Mechanical Engineering with specialization in Robotics (2000), and an Economist-Manager from ZSTU's Faculty of Economics and Management (2000). Морозов's research focuses on the intersection of information technologies and tourism, with particular expertise in GIS technologies for tourism, information systems in personnel management, and digital economy applications. His scholarly work demonstrates a clear evolution from early research in geometric modeling and finite element analysis toward contemporary digital transformation topics in tourism and business. His recent publications (2023-2024) reveal a strong emphasis on digital economy, blockchain applications in tourism, AI in HR analytics, and business digitalization during wartime conditions, reflecting adaptation to current technological and geopolitical realities. As an educator, he teaches a diverse range of subjects including Information Technologies in Personnel Management, Econometrics, Economic and Mathematical Models, Higher Mathematics, Internet Marketing, and Informatics. With active participation in annual scientific conferences "Week of Science" at ZNTU since 2009 and international conferences, Морозов maintains an ongoing scholarly presence while leading his department through technological changes in higher education and industry.

• Structural Optimization
• Isogeometric Analysis
• Finite Element Analysis
• +۷ مورد دیگر

Bastian Devresse is a Researcher at the Chair of Structural Analysis at the Technical University of Munich (TUM) , where he has worked since 2022. He holds a Master's degree in Civil Engineering from TUM (2019-2022) and a Bachelor's degree in Civil and Environmental Engineering from Hamburg University of Technology (2015-2019). His research focuses on advanced shape optimization techniques, particularly in structural mechanics and wind engineering. Research Interests : Node-based shape optimization Isogeometric analysis and B-Rep modeling Wind-induced vibrations and flexible membrane structures Lightweight and additive manufacturing optimization Multidisciplinary optimization frameworks Publications highlight his work in developing innovative parameterizations for bead-like features, applying Vertex Morphing methods to thin-walled structures, and integrating sensitivity filtering for robust optimization. Recent work extends to wind engineering simulations and membrane wing design. Teaching includes courses on finite element methods and nonlinear structural analysis. He has supervised theses on topics like robust shape optimization and isogeometric subdivision surfaces. Contact: bastian.devresse@tum.de | Office: Room 0101.Z1.019

• Biotechnology
• Protein Engineering
• Bacterial Inclusion Bodies
• +۴ مورد دیگر

Elena Garcia Fruitos is a senior researcher at the Institute of Agrifood Research of Catalonia (IRTA) , specializing in ruminant production biotechnology . Her work focuses on leveraging bacterial inclusion bodies for biomedical applications, protein nanomaterials, and sustainable agrifood technology. Key Projects: Antibiotic residue degradation in milk, protein-based antimicrobial surfaces, and dry-off period optimization in dairy cows Research Themes: Protein self-assembly, inclusion body engineering, food-grade microbial production systems Her 2025-2022 publications highlight innovations in antimicrobial peptides, thermoplastic surface activation, milk waste valorization, and advanced protein delivery systems. Scientific Collaborations include multidisciplinary teams in bioengineering, veterinary medicine, and nanotechnology.

• T Cell Biology
• Immunotherapy
• CRISPR Screening
• +۳ مورد دیگر

Sumana Sharma is a Wellcome Career Development Fellow and Group Leader at the MRC Weatherall Institute of Molecular Medicine (University of Oxford). Her research focuses on T-cell signaling and next-generation immunotherapy design , particularly through inhibitory receptor signaling manipulation . PhD in genetic screening (Wellcome Sanger Institute, University of Cambridge) Postdoc in computational analysis (EMBL-EBI, Cambridge) Former Sir Henry Wellcome Postdoctoral Fellow (MRC-TIDU, Oxford) Her work integrates CRISPR-based functional genomics , omics technologies , and primary T-cell editing to uncover regulatory mechanisms in immune suppression. Key contributions include developing CEN-tools for cancer gene analysis and creating high-throughput assays for T-cell signaling. Recent publications span 2025-2015 , emphasizing T-cell antigen detection , inhibitory signaling , and transcriptional reprogramming . Her research trends combine structural immunology , computational genomics , and therapeutic engineering . Wellcome Career Development Award Sir Henry Wellcome Postdoctoral Fellowship Her lab uses multidisciplinary approaches to study immune regulation in cancer and chronic infections , with potential applications in autoimmune disease and tumor immunotherapy .

Jacek Brodzkiمشاهده پروفایل

استاد

• Topological Data Analysis
• Noncommutative Geometry
• K-Theory of Operator Algebras
• +۷ مورد دیگر

Professor Jacek Brodzki, a faculty member at the University of Southampton since at least 2002, holds the title of Professor of Pure Mathematics and serves as Head of the School of Mathematical Sciences . He co-founded and directs the Centre for Geometry, Topology, and Applications (CGTA) , while leading the Southampton node of the £10M EPSRC-sponsored "Mathematical Foundations of Intelligence: An 'Erlangen Programme' for AI . His research spans topological data analysis , noncommutative geometry , and K-theory , with applications in medicine , physics , chemistry , and computer science . His work includes theoretical advancements in CAT(0) cubical spaces and applied projects like "Joining the Dots: From Data to Insight" , which integrates TDA, machine learning, and statistics for multidisciplinary challenges. Supported by grants from the EPSRC , Leverhulme Trust , and Alan Turing Institute , his research has produced groundbreaking applications in metasurface design , asthma biomarker discovery , and neural network analysis . Recent publications highlight his expertise in topological methods for disordered materials (2023), time-series analysis (2022), and stability of Mapper-type algorithms (2020). His theoretical work on the Baum-Connes conjecture and exactness of groups continues to influence geometric group theory. Scientific awards include Fellowship at the Alan Turing Institute (2019) . He actively supervises PhD students and collaborates across disciplines, spanning mathematics , physics , and precision medicine , and participates in the U-BIOPRED consortium for asthma research.

Vojkan Vidojkovicمشاهده پروفایل

دانشیار

• RF Integrated Circuits
• mm-Wave Communications
• Wireless Systems Architecture
• +۳ مورد دیگر

Vojkan Vidojkovic is an Associate Professor in the IC design group within the Electrical Engineering department at Eindhoven University of Technology (TU/e). With extensive experience bridging academia and industry, he contributes significantly to RF and mm-wave research and education at TU/e. Education: MSc degree from University of Nis, Serbia (1999) PhD degree from Eindhoven University of Technology, Netherlands (2007) Professor Vidojkovic's research focuses on RF integrated circuits and systems for wireless communications across multiple generations (2G through 5G and mm-wave). His work spans satellite communications, radar sensing technology, and next-generation wireless systems. He combines theoretical expertise with practical industry experience to develop power-efficient RF solutions for inter-satellite links, automotive radar, and communication systems. His recent publications demonstrate expertise in RF beamforming transmitters, low-power radar architectures, and mm-wave systems for communications and sensing. These works showcase advancements in efficiency, compactness, and performance for next-generation wireless applications. Scientific Recognition: TPC member of International Solid-State Circuit Conference (ISSCC) 2015-2016 Author of 3 books Holder of 5 patents Author of 3 journal papers, 3 invited papers, and 22 conference papers Professor Vidojkovic has successfully led multidisciplinary teams in both academic and industrial settings. His career path has interwoven scientific research with practical industry applications, resulting in multiple generations of transceivers that progressed from concept to high-volume production for leading phone manufacturers. He currently teaches courses including Electronic and Photonic Components, Components in Wireless Technologies, Fundamentals of Electronics, Advanced CMOS Design, and RF Transceivers 2: Design. Research Groups: RF Sensing & Communication Lab Integrated Circuits Group Center for Wireless Technology Eindhoven

Jeffrey A Cullyمشاهده پروفایل

استاد

• Implementation Science
• Mental Health Services Research
• Veterans Health
• +۵ مورد دیگر

Jeffrey A Cully, Ph.D., is a tenured Professor in Psychiatry and Behavioral Sciences at Baylor College of Medicine with secondary appointments in Medicine (Health Services Research). He maintains dual appointments as Staff Psychologist/Health Services Researcher at the Houston VA HSR&D Center of Innovation and Associate Director for Improving Clinical Care at the South Central Mental Illness, Research, Education and Clinical Center. Education: Ph.D. in Clinical Psychology, Saint Louis University (2002) Geropsychology Residency, Baylor College of Medicine (2002) Fellowship, Veterans Affairs Medical Center Houston (2003) Cully's research pioneers implementation science methodologies to integrate evidence-based mental health treatments into primary care and specialty medical settings, particularly within the Veterans Health Administration. His work focuses on hybrid effectiveness-implementation designs that simultaneously evaluate clinical outcomes while optimizing real-world adoption of interventions like brief cognitive behavioral therapy for depression, anxiety, and chronic disease comorbidities. Current projects address rural health disparities and cardiopulmonary-mental health integration through VA-funded initiatives. His publication portfolio demonstrates consistent leadership in translating evidence-based practices into operational healthcare systems, with emphasis on veteran populations. Key trends include development of computer-aided training systems, external facilitation strategies, and effectiveness-implementation hybrid trials that bridge research-practice gaps in complex healthcare environments. Scientific Awards: Four Baylor College of Medicine Faculty Excellence Awards (2009-2014) across educational leadership, research, and teaching domains VA HSR&D Career Development Awards (Level 1 & 2, 2003-2009) Cully directs two major VA-funded research programs: Creating Practice-Ready Evidence-Based Psychotherapies ($546,917, 2019-2023) and Effectiveness and Implementation of Brief CBT in VA Clinics ($1.1M, 2015-2020). His grant portfolio reflects sustained focus on generating implementation evidence within Veterans Affairs healthcare systems while mentoring junior researchers through structured career development pathways. His work operates at the nexus of the Houston VA HSR&D Center of Innovation and Baylor's academic infrastructure, leveraging multi-institutional partnerships to advance mental health services research with direct clinical impact.