جست‌وجوی استاد و پژوهشگر

• Antenna Engineering
• Radar Technology
• Electromagnetic Fields
• +۳ مورد دیگر

Prof. Dirk Heberling is a Universitätsprofessor at RWTH Aachen University, leading the Institute for High Frequency Technology. His research focuses on advanced antenna systems, radar technology, and electromagnetic field exposure assessment in 5G/6G networks. He specializes in high-frequency components, including leaky-wave antennas, reconfigurable intelligent surfaces, and robot-based antenna measurement systems. His work addresses challenges in antenna design, signal processing, and environmental compliance for next-generation communication infrastructure. Key research areas include: Development of wideband antennas for IoT and smart building applications Numerical analysis of near-field antenna measurements and phase recovery techniques Assessment of radio frequency exposure from massive MIMO base stations using digital twins Integration of radar systems with automotive technologies for self-localization and object detection Optimization of antenna arrays to mitigate grating lobes and phase synchronization issues His lab operates a state-of-the-art robot-based mm-wave test system capable of spherical near-field measurements and real-time auralization of aircraft noise. This infrastructure supports both fundamental research and industry collaborations in telecommunications, automotive radar, and environmental monitoring. Current projects emphasize: Exposure modeling for 6G networks considering increased base station utilization Generative adversarial networks for radar data synthesis Calibration techniques for polarimetric radar systems

• Smart Cities
• Sustainable Urban Planning
• Solar Energy
• +۷ مورد دیگر

Gabriele Lobaccaro is a Professor at the Department of Civil and Environmental Engineering at NTNU. He specializes in sustainable urban planning, energy-efficient architecture, and solar energy integration in built environments. His research focuses on smart cities, solar potential assessment, and climate-resilient urban design. Education: MSc in Building Engineering and Architecture from Politecnico di Milano (2008), PhD in Building Engineering from Politecnico di Milano and UNSW Sydney (2013). Former roles include Postdoctoral Research Fellow (2013-2017) and Researcher at the Department of Architecture and Technology (2017-2020). Research highlights include participation in international projects like REINVENT, RAMSES, and EERA Joint Programme Smart Cities. He leads efforts in solar neighborhood planning, façade engineering, and digital twin technology for energy systems. Awards: Åsgård Research Program (2018/2020), ISSNAF/CNI Scholarship (2014), and COST Action TU0902 Scholarship (2014). Teaching: Courses in Building Physics for Architects, Climate and Built Forms, and Urban Studies. Active in NTNU’s Smart Sustainable Cities@NTNU initiative and IEA SHC Task 51/63.

• Photonics
• Biosensors
• Nanotechnology
• +۳ مورد دیگر

Brian T. Cunningham is a distinguished academic holding multiple professorships and leadership roles at the University of Illinois at Urbana-Champaign. He serves as the Intel Alumni Endowed Chair in Electrical and Computer Engineering (ECE), Program Leader at the Cancer Center at Illinois, and Professor in departments including Bioengineering, Micro and Nanotechnology Lab, Biomedical and Translational Sciences, Nutritional Sciences (Affiliate), Chemistry, and the Beckman Institute for Advanced Science and Technology. He also directs the Center for Genomic Diagnostics at the Carl R. Woese Institute for Genomic Biology. His research focuses on advanced biosensor technologies, photonic crystal engineering, and nanotechnology-driven diagnostics. Key areas include photonic crystal-enhanced fluorescence, label-free detection systems, and portable point-of-care devices. His work integrates photonics, plasmonics, and DNA-based nanostructures for ultrasensitive viral and molecular diagnostics. Notable honors include AAAS Fellow (2016), AIMBE Fellow (2013), and IEEE Fellow (2012). He leads interdisciplinary teams in the Micro and Nanotechnology Lab and collaborates across engineering, biomedical, and genomic fields to advance diagnostic tools for healthcare and biomedical research. Research Themes: Photonic crystals, biosensors, nanotechnology, medical diagnostics, and DNA-based nanodevices. Labs/Initiatives: Micro and Nanotechnology Lab, Center for Genomic Diagnostics, Personalized Nutrition Initiative. Technology Highlights: PRAM (Photonic Resonator Absorption Microscopy), DNA NanoGripper, and smartphone-linked diagnostic platforms.

• Wireless Communications
• Radio Channel Modeling
• Millimeter Wave Propagation
• +۶ مورد دیگر

Jun-ichi Takada is a prominent researcher in wireless communications with extensive contributions to radio channel modeling, millimeter wave propagation, and wireless body area networks. His work spans over 15 years with consistent high-impact publications in IEEE journals and conferences. Dr. Takada's research focuses on several key areas in wireless communications: Advanced radio channel modeling for 5G/6G systems Millimeter wave propagation characteristics in various environments Wireless body area network (WBAN) channel characterization Channel sounding and measurement techniques Indoor and outdoor propagation modeling Antenna design and performance evaluation Wireless localization and spectrum sharing techniques Analysis of Dr. Takada's recent publications (2022-2025) reveals a strong focus on next-generation wireless systems, with particular emphasis on site-specific channel modeling for 5G/6G, millimeter wave applications, and innovative measurement techniques. His work increasingly integrates machine learning approaches with traditional signal processing methods for wireless channel analysis and human detection applications. Dr. Takada has collaborated extensively with researchers across Japan and internationally, demonstrating leadership in several major research projects related to wireless communications standardization and development.

Linus Wunderlichمشاهده پروفایل

مدرس

• Mathematical Finance
• Machine Learning
• Deep Neural Networks
• +۶ مورد دیگر

Dr. Linus Wunderlich is a Lecturer in Financial Mathematics at Queen Mary University of London (QMUL), affiliated with the School of Mathematical Sciences. He holds a PhD in Hybrid Finite Element Methods for Non-linear and Non-smooth Problems in Solid Mechanics from Technical University Munich. His research focuses on integrating machine learning with numerical techniques in mathematical finance, including solving high-dimensional PDEs via neural networks and accelerating risk computations through Chebyshev interpolation. He also explores the theoretical foundations of AI and its applications in finance, engineering, and education. Linus teaches courses such as Mathematical Tools for Asset Management and Masterclass in Business Analytics , emphasizing practical machine learning skills for business contexts. His work spans computational finance, numerical analysis, and interdisciplinary projects including Olympic medal prediction models and violin bridge modeling from CT scans. Research grants include a £10,800 project with Numerical Algorithms Group Ltd on efficient volatility interpolation (2018–2019). He collaborates with institutions like LSE, Birkbeck, and University College Dublin, presenting at conferences such as SIAM Financial Mathematics and the German Probability & Statistics Days. His activities include developing interactive art projects and teaching machine learning courses during the pandemic. No scientific awards are explicitly mentioned in the provided texts. His research interests and publications reflect a blend of mathematical rigor and applied innovation, bridging finance, engineering, and education.

• Oral Radiology
• Dental Implantology
• 3D Printing in Dentistry
• +۳ مورد دیگر

Vinicius Dutra, DDS, PhD, MBA is a Clinical Associate Professor at the Department of Oral Pathology, Medicine and Radiology within the Indiana University School of Dentistry. His work focuses on innovative applications of 3D printing, virtual reality, and artificial intelligence in dental education and clinical practice. He specializes in oral radiology, implantology, and orthodontics, with a strong emphasis on improving diagnostic accuracy and surgical precision through advanced imaging and digital tools. Dr. Dutra holds a Doctor of Dental Surgery (DDS), a PhD, and an MBA, reflecting his interdisciplinary expertise in clinical practice, research, and healthcare management. His research explores topics such as guided implant surgery, 3D-printed anatomical models for training, and the integration of machine learning into dental diagnostics. His recent studies include evaluations of virtual reality in dental education, the accuracy of guided implant placement techniques, and comparisons between cone-beam CT scans and histological analyses. He has also contributed to advancements in complete denture fabrication workflows and bone thickness measurement methodologies. Despite his extensive publication record, no scientific awards were explicitly mentioned in the provided materials. Dr. Dutra’s clinical and educational roles involve mentoring students and contributing to the development of cutting-edge dental technologies. His work bridges traditional dental practices with modern digital innovations, aiming to enhance patient outcomes and streamline clinical workflows.

Ingmar Ickerottمشاهده پروفایل

استاد

• Logistics Management
• Digitalization in Supply Chains
• Smart Glasses Applications
• +۳ مورد دیگر

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

• Artificial Intelligence
• Argumentation Theory
• Explainable AI (XAI)
• +۵ مورد دیگر

Professor Francesca Toni is a Professor in Computational Logic at the Department of Computing, Faculty of Engineering at Imperial College London. She leads research in Artificial Intelligence, focusing on explainable AI (XAI), argumentation theory, and neuro-symbolic systems. Her affiliations include the Centre for eXplainable AI (XAI), Argumentation-based Deep Interactive eXplanations (ADIX), and the Human-Like Computing initiative. Her work integrates computational logic with machine learning to develop interpretable models for healthcare, robotics, and decision support systems. Recent research emphasizes conflict analysis in neural networks, argumentative ensembling, and object-centric learning frameworks. Her research interests span AI ethics, formal argumentation, and the integration of symbolic reasoning with deep learning. Key contributions include neuro-argumentative learning architectures, benchmarking explainability methods (XAI-Units), and frameworks for robust recourse in model multiplicity scenarios. She actively explores applications in biomedical fraud detection (Pub-Guard-LLM) and personalized decision support via gradual bipolar argumentation. Her publications highlight trends in explainable AI, with a focus on visual debates, counterfactual explanations, and causal structure learning. She has pioneered systems like ProtoArgNet for interpretable image classification and DR-HAI for dialectical reconciliation in human-AI interactions. Her work bridges theoretical foundations (e.g., ABA semantics) with real-world applications in healthcare and legal reasoning. Notable projects include ROAD2H—an open-source XAI approach for managing comorbidities—and Cafe for conflict-aware feature explanations. She has contributed to legal AI systems (LawGIBA) and causal discovery methods. Current efforts focus on neuro-argumentative machine learning and object-centric representation learning.

• Artificial Intelligence
• Neuromorphic Computing
• Brain-inspired Computing
• +۱۳ مورد دیگر

Vittorio Fra is a Fixed-term Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, where he conducts research in artificial intelligence, neuromorphic computing, edge computing, and robotics. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and contributes to interdisciplinary research bridging engineering, nanotechnology, and smart urban systems. His research interests center on AI and neuromorphic computing for industrial and IoT applications , with strong emphasis on brain-inspired computing, memristive devices, and nanoscale technologies. His work spans from low-level hardware characterization to high-level algorithm design, integrating machine learning, bio-inspired computing, and scientific simulation. He actively explores neuromorphic solutions for real-world edge applications such as human activity recognition, smart traffic control, and assistive technologies like Braille readers. The trend across his recent publications (2022–2025) reveals a consistent focus on deploying spiking neural networks and neuromorphic architectures on commercial edge devices, optimizing neural execution, developing benchmarking tools (e.g., NeuroBench, WiN-GUI), and validating neuromorphic solutions on practical problems like Sudoku and the knapsack problem. His work bridges theoretical AI with applied engineering, targeting sustainability and innovation in infrastructure and urban communities. Scientific Awards: No scientific awards explicitly mentioned in the text. Advising and Grants: Vittorio Fra supervises Filippo Aisa , a PhD candidate in Electrical, Electronic, and Communications Engineering. He leads a commercially funded research project titled Supporto allo sviluppo di un smart digital water distributor monitoring system (2025–2026) , serving as the Scientific Responsible. His teaching roles include PhD instruction, course collaboration, and invited membership in academic councils across engineering and planning programs. Labs and Research Teams: He is a member of the PoliTO Interdepartmental Centre for Service Robotics (PIC4SeR) , a multidisciplinary research center focused on robotics for societal applications. His collaborations span multiple institutions and projects, involving teams working on neuromorphic ecosystems (e.g., Lava-Loihi), wireless sensor networks, and brain-inspired computing frameworks.

Mehran Masdariمشاهده پروفایل

مدرس

• Experimental Aerodynamics
• Aeroacoustics
• Heat Transfer Optimization
• +۹ مورد دیگر

Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.

John R. Dutcherمشاهده پروفایل

استاد

• Nanoscience
• Soft Matter Physics
• Biophysics
• +۴ مورد دیگر

John R. Dutcher is a Professor and Research Chair in Novel Sustainable Nanomaterials at the University of Guelph's Department of Physics. His work bridges soft matter physics, biophysics, and sustainable nanotechnology through experimental studies of polymers, biopolymers, and bacterial systems at surfaces and interfaces. PhD in Condensed Matter Physics (Simon Fraser University, 1989) NSERC Postdoctoral Fellow (University of Arizona, 1989-1990) Director of University of Guelph’s B.Sc. Nanoscience program Research focuses on: Phytoglycogen nanoparticles from sweet corn for biomedical/personal care applications Machine learning analysis of polymer degradation in cross-linked pipes Bacterial motility and biofilm formation via optical microscopy Hydration forces and mechanical properties of nanomaterials His lab employs state-of-the-art equipment including AFMs, SPRi, and rheometers, with industrial partnerships like HeatLink. Recent publications analyze β-VAE applications in IR spectroscopy, acid hydrolysis effects on nanomaterials, and bacterial colony dynamics. Scientific honors include: Tier 1 Canada Research Chair in Soft Matter and Biological Physics (2006) Fellow, American Physical Society (2007) University of Guelph Innovation of the Year (2017) He has co-founded spin-off company Mirexus Biotechnologies and mentored over 50 graduate/undergraduate researchers, with alumni holding faculty positions at Waterloo, McMaster, and Lakehead University. Lab facilities include: Custom self-nulling ellipsometer TA Instruments DHR-3 rheometer Brookhaven BI200-SM light scattering system Thermo/Nicolet Continuum infrared microscope Wyatt SEC-MALS system Advanced microbiology/Biophysics equipment

• Cancer Stem Cells
• Tumor Microenvironment
• Precision Medicine
• +۷ مورد دیگر

Giorgio Stassi serves as a Professor in the Department of Surgical and Oncological Disciplines at the School of Medicine and Surgery , University of Palermo . His research focuses on cancer stem cells (CSCs) across colorectal, breast, and thyroid malignancies, with emphasis on microenvironment interactions and therapy resistance mechanisms. Office hours are held weekly at the Laboratory of Cellular and Molecular Pathophysiology in Palermo. His research interests include: Precision Medicine applications in CSC-targeted therapies Immunological profiling of tumor microenvironments Epigenetic and metabolic drivers of chemoresistance Bioinformatic analysis of CSC phenotypes Drug repurposing for CSC eradication Recent publications demonstrate a clear trend toward computational oncology and immunomicroenvironment engineering , with notable work on tumor-on-chip systems, NGS-based prognostics, and macrophage-CSC crosstalk. Key journals include Magazine article and Review essay formats addressing clinical translation of laboratory findings. No scientific awards were documented in the provided materials. His supervisory activities include thesis guidance ("Tesi curate") and Erasmus program coordination, though specific students and projects aren't listed. Research is conducted primarily at the Laboratory of Cellular and Molecular Pathophysiology , with institutional support from the ATeN Center and ASCENT Advanced Studies Centre.

Jian Linمشاهده پروفایل

دانشیار

• Advanced Manufacturing
• 3D/4D Printing
• Smart Manufacturing
• +۶ مورد دیگر

Jian Lin is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Missouri (MU), with courtesy appointments in Electrical Engineering & Computer Science (EECS) and Chemical Engineering (ChBME). He leads an interdisciplinary research group focused on advanced manufacturing and materials for biomedical and energy applications. His work is supported by major funding agencies including the National Science Foundation, National Institutes of Health, U.S. Department of Energy, and U.S. Department of Agriculture. Education: PhD in Mechanical Engineering, University of California, Riverside MS in Electrical Engineering, University of California, Riverside BS in Mechanical and Automation Engineering, Zhejiang University Dr. Lin's research spans three core areas: smart manufacturing powered by artificial intelligence , soft materials and 3D/4D printing , and biomanufacturing . His group explores innovative fabrication techniques such as humidity-assisted 3D printing, VPP sustainability, and direct integration of electronics into everyday objects. The lab also develops medical devices for vital sign monitoring and soft tissue regeneration. His recent publications highlight a strong trend toward interdisciplinary innovation , combining materials science, AI, robotics, and biomedical engineering. Themes include sustainable manufacturing, smart implants, wearable health sensors, and autonomous inspection systems—reflecting a convergence of engineering disciplines to solve real-world challenges in healthcare and energy. Scientific Awards and Honors: 2015 ORAU Ralph E. Powe Junior Faculty Enhancement Award 2016 Emerging Investigator, Journal of Materials Chemistry 2019 Dean William R. Kimel and Mila Kimel Faculty Fellow, College of Engineering, MU Dr. Lin actively advises graduate students and leads the Advanced Manufacturing Lab at MU. His research is funded by multiple federal grants, enabling high-impact projects in biomanufacturing, smart materials, and sustainable fabrication. He mentors students in cutting-edge research, many of whom contribute to publications and innovations featured in university news. Current initiatives include AI-driven manufacturing systems, 4D-printed medical implants, and wearable health technologies.

Eileen R. Martinمشاهده پروفایل

دانشیار

• Computational Science
• Geophysics
• Applied Mathematics
• +۹ مورد دیگر

Eileen R. Martin is an Associate Professor at Colorado School of Mines, jointly appointed in Geophysics and Applied Math and Statistics with a 60/40 split. She collaborates with two industry-aligned consortia: the Center for Wave Phenomena (CWP) and the Center to Advance the Science of Exploration to Reclamation in Mining (CASERM). PhD, Institute for Computational and Mathematical Engineering, Stanford University (2018) MS, Geophysics, Stanford University BS, Mathematics and Computational Physics, University of Texas at Austin Her research bridges computational science and geophysics with applications to subsurface characterization using advanced sensing technologies. She focuses on distributed acoustic sensing (DAS) , seismic imaging , inverse problems , and machine learning for geoscientific data analysis. Recent work explores permafrost thaw monitoring , glacier hydrology , and mine seismicity through scalable algorithms. Selected 2024-2025 Publications : Modeling permafrost thermodynamics with differentiable computing DAS applications in cryoseismic cataloging and glacier monitoring Urban traffic monitoring via multicomponent seismic data Open-source DASCore Python library development Lossy compression effects on seismic data integrity Scientific Awards : NSF CAREER grant SIAM Geosciences Early Career Prize SEG J. Clarence Karcher Award Presidential Early Career Award for Science and Engineering (PECASE) Academic Leadership : Advising 13 graduate students (MS/PhD) across Geophysics, Applied Math, and Hydrologic Engineering Teaching courses in Parallel Scientific Computing, Digital Signal Processing, and Mathematical Geophysics Co-leading weekly group meetings with industry consortia integration Labs & Collaborations : Center for Wave Phenomena (CWP) at Mines CASERM: Mining Exploration to Reclamation Consortium Stanford Exploration Project (alumni) Lawrence Berkeley National Lab affiliate

M.A. Cabreraمشاهده پروفایل

پژوهشگر

• Civil Engineering
• Geotechnical Engineering
• Granular Material
• +۷ مورد دیگر

M.A. Cabrera is a Researcher at the Delft University of Technology within the Civil Engineering & Geosciences school and Geo-engineering department. His research focuses on geotechnical engineering, granular material behavior, and geo-environmental challenges. His work explores granular flows, soil mechanics, and centrifuge modeling, with applications to planetary science (e.g., Mars regolith) and disaster prevention in tropical environments. Recent studies highlight scientific machine learning integration and offshore wind anchor design. Notable trends in his 15 most recent publications include granular collapse dynamics, vibro-driver pile penetration, and submarine landslide impacts on infrastructure. These span disciplines like Civil Engineering , Geotechnical Engineering , and Planetary Science , with subfields focusing on grain size distribution, runout prediction, and fluid-particle interactions. Scientific awards include the Bienal prize on research (2021) Dejando Huella (2022) Marie Curie ESR Fellowship (2012) He chairs the program committee for the 5th European Conference on Physical Modelling (2024), contributing to geotechnical physical modeling advancements. His affiliations and collaborations with institutions like TU Delft underscore his expertise in experimental geomechanics.