جست‌وجوی استاد و پژوهشگر

Stefanie Sydlikمشاهده پروفایل

استادیار

• Polymer Chemistry
• Materials Science
• Graphene Research
• +۴ مورد دیگر

Stefanie Sydlik is an Assistant Professor of Chemistry and Biomedical Engineering (courtesy) at Carnegie Mellon University's Mellon College of Science, Department of Chemistry. She joined CMU full-time in summer 2015 after completing a postdoctoral fellowship with Professor Robert Langer at MIT, where she developed biomimetic block copolymers for cartilage repair. Her research group focuses on the synthesis of novel polymers and materials through molecular design principles, with applications spanning electronic, mechanical, and biological materials. Dr. Sydlik's research interests center on polymer chemistry and biomaterials development, particularly in creating functional graphene-based materials for tissue engineering applications. Her work bridges the gap between fundamental molecular design and practical biomedical applications, with emphasis on bone regeneration, stem cell scaffolds, and degradable polymer systems. The Sydlik Group explores how molecular architecture influences material properties and biological responses, developing innovative solutions for regenerative medicine. Analysis of her recent publications reveals a strong focus on graphene functionalization techniques, particularly for bone regeneration applications. Her research demonstrates how tailored surface chemistry of graphene materials can direct stem cell behavior and enhance tissue integration. The trend shows increasing sophistication in material design, moving from basic graphene composites to precisely engineered peptide-functionalized systems that mimic natural extracellular matrices. American Chemical Society PMSE Young Investigator Award National Institutes of Health Ruth L. Kirschstein Postdoctoral Fellowship (2014-2015) National Science Foundation Graduate Research Fellowship (2008-2011) MIT Department of Chemistry Award for Outstanding Teaching (2008) Beckman Scholars Program Award Recipient (2006-2007) Professor Sydlik actively mentors a diverse group of students, including PhD candidates, master's students, and undergraduates working on projects ranging from macrocyclic ring-opening polymerizations to peptide-functionalized graphene materials. Her lab has received funding through prestigious fellowships and grants that support undergraduate research initiatives. The Sydlik Group maintains well-equipped laboratory facilities including chemical fume hoods, biosafety equipment, and advanced microscopy capabilities, supporting their interdisciplinary research at the chemistry-biology-materials science interface.

• Wide Bandgap Semiconductors
• Diamond Electronics
• III-V Materials
• +۷ مورد دیگر

Professor David Moran is Professor of Advanced Semiconductors in the School of Engineering at the University of Glasgow, specializing in Electronic & Nanoscale Engineering. He leads the Advanced Semiconductor Materials and Devices research group, focusing on cutting-edge semiconductor technologies for next-generation electronic applications. His research spans multiple areas of semiconductor physics and engineering, with particular emphasis on diamond-based electronics and wide bandgap materials. His work includes significant contributions to understanding surface transfer doping mechanisms, developing high-performance diamond FETs, and exploring applications of materials like GaN, AlGaN, Ga2O3, and 2D dichalcogenides in power electronics, quantum technologies, and radiation detection systems. Professor Moran has published extensively on diamond surface science, hydrogen termination processes, and the development of novel semiconductor devices. His recent work demonstrates a strong focus on advancing diamond electronics while expanding into 2D materials for energy applications. His research bridges fundamental materials science with practical device engineering. He leads an active research group at the University of Glasgow, collaborating with researchers internationally to develop next-generation semiconductor technologies that overcome limitations of traditional silicon-based devices. His laboratory likely includes advanced capabilities for semiconductor device fabrication, materials characterization, and electrical testing.

• Graph Neural Networks
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Fabian Jogl is a PreDoc Researcher at the Vienna University of Technology (TU Wien) within the Faculty of Informatics, holding dual affiliations in the Department of Databases and Artificial Intelligence (Institute E192) and the Department of Machine Learning (Institute E194). His work centers on theoretical and applied aspects of graph neural networks under the StruDL (2023–2027) and VHH (2019–2023) research projects. His research focuses on the expressivity limits of graph neural networks, particularly investigating whether enhanced expressivity translates to better predictive performance. Key areas include outerplanar graph analysis, path-based GNN architectures, global feature integration, and connections to the Weisfeiler-Lehman hierarchy. He examines structural properties of GNNs through homomorphisms and graph transformations to advance graph representation learning. Recent publications reveal trends toward unifying theoretical expressivity frameworks with empirical validation across diverse graph datasets. His work bridges geometric deep learning for cell complexes and practical applications like historical film analysis via the Historian dataset. Jogl actively contributes to major conferences including NeurIPS, ICML, and LoG while co-supervising student projects in machine learning algorithms. As a core member of the StruDL project, he investigates deep learning model structures for graph data, extending prior work on historical film annotation under the VHH project. His technical contributions include novel GNN simulation techniques and methods for enhancing message-passing architectures through graph transformations.

Roman Manetschمشاهده پروفایل

استاد

• Medicinal Chemistry
• Antimicrobial Agents
• Antiparasitic Drug Development
• +۳ مورد دیگر

Roman Manetsch is a Professor of Chemistry and Chemical Biology at Northeastern University, with a joint appointment in the Bouvé College of Health Sciences. His research focuses on medicinal chemistry, particularly developing novel therapies for neglected parasitic diseases like malaria and leishmaniasis, as well as antibacterial agents targeting drug-resistant pathogens. He leads the Manetsch Lab, which integrates mass spectrometry-based approaches with synthetic chemistry to optimize drug candidates. Expertise includes kinetic target-guided synthesis, protein crosslinking strategies for neurodegenerative diseases, and the discovery of compounds targeting Plasmodium species. Notable contributions include advancements in antimalarial drug design, development of streptothricin F as a novel antibiotic, and synthetic methodologies like sulfo-click and seleno-click amidation. Recipient of the 2023 TIER1 Seed Grant for innovative drug discovery research Leading multidisciplinary projects with the Barnett Institute of Chemical and Biological Analysis Collaborations in both biomedical research and pharmaceutical sciences Research trends emphasize translational applications of synthetic chemistry, with recent work exploring multifragment screening for protein interaction modulators and biocompatible reaction systems for targeted drug delivery. His lab’s publications consistently address critical gaps in treating neglected tropical diseases and antibiotic-resistant infections.

• 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.

• Biomaterials Engineering
• Plant Chemistry
• Analytical Chemistry
• +۳ مورد دیگر

John Adams Sebastian is a Research Assistant Professor of Biomolecular Sciences and Faculty Instructor at the University of Mississippi's School of Pharmacy, Department of Biomolecular Sciences. He holds a Ph.D. in Botany from Bharathidasan University (2018) and is affiliated with the GlyCORE (Glycoscience Center of Research Excellence). His research focuses on biomaterials engineering, plant chemistry, and analytical techniques such as HPTLC, LC-QToF, and advanced microscopy. He has contributed to studies on nanobiocomposites, plant metabolomics, and ethnobotanical conservation strategies. His work bridges biomaterials development with pharmaceutical applications, including biocompatible polymers and microbial bioconversion processes. Key research areas include: biomaterials synthesis (e.g., carbon nanotube-reinforced composites), plant-derived drug discovery (e.g., curcumin bioconversion), and glycoscience imaging technologies through the GlyCORE initiative. He also investigates ethnobotanical practices in regions like the Western Ghats and Andaman Islands, emphasizing traditional knowledge integration with modern analytical methods. His publications span 2010–2025, covering topics from herbal quality assessment to microbial metabolite production. Notable projects include the development of cytocompatible nanobiocomposites and the application of energy-dispersive X-ray spectroscopy in botanical characterization. He is based in Oxford, Mississippi at Faser Hall.

• Power-law distributions
• Normal-Laplace distributions
• Circular distributions
• +۶ مورد دیگر

William J. Reed is a Professor in the Department of Mathematics and Statistics at the University of Victoria, with a distinguished career spanning theoretical and applied statistics. His work bridges mathematical theory with real-world applications across ecology, finance, and biology, focusing on distributional phenomena in complex systems. Dr. Reed earned his Ph.D. from the University of British Columbia and has maintained an active research program for over three decades. His scholarly contributions are characterized by rigorous statistical modeling of natural and socioeconomic patterns. Research centers on probability distributions—particularly power-law, Normal-Laplace, and circular distributions—with applications in forest fire dynamics, income inequality, gene family evolution, and financial markets. His work explains why power-laws emerge universally across disciplines through mechanistic stochastic models. Recent publications emphasize survival analysis with bathtub-shaped hazard rates and directional data modeling. His publication trend (2000-2010) reveals interdisciplinary innovation: developing the double Pareto-lognormal distribution for size phenomena, modeling sexually transmitted disease networks, and creating Brownian-Laplace motion for financial applications. These works consistently connect theoretical distribution theory to empirical patterns in nature and society. Scientific Awards: No specific awards documented in source material Dr. Reed has supervised six graduate students on distribution-focused theses, including Peter Ott (1995) on animal abundance estimation, Tony Ho (1997) on wildfire modeling, and Fan Wu (2008) on Normal-Laplace applications. While grant details aren't specified, his collaborative work with B.D. Hughes demonstrates sustained research productivity across mathematical biology, economics, and environmental science.

• Thermal Energy Storage
• Process Engineering
• Environmental Engineering
• +۶ مورد دیگر

Prof. Jörg Worlitschek is Head of the Institute of Mechanical Engineering and Energy Technology (IME) and Professor at the Lucerne School of Engineering and Architecture, part of Lucerne University of Applied Sciences & Arts. He holds a PhD in Thermal Process Engineering from ETH Zurich and has extensive industry experience, including roles at Mettler Toledo. His research focuses on thermal energy storage (TES), crystallization processes, and sustainable energy systems. Education: Studies in Chemical Engineering at University of Erlangen M.Sc. in Energy and Process Engineering from Technical University of Berlin PhD in Thermal Process Engineering from ETH Zurich (2003) Research Interests: Thermal Energy Storage (TES) systems for buildings and grids Phase Change Materials (PCMs) for latent heat storage Integration of solar and PV systems with TES Decarbonization of heating systems Process optimization in crystallization and heat transfer Achievements & Projects: Founder of the Competence Center Thermal Energy Storage (CC TES) Co-founder of SpinOff Cowa (compact energy storage solutions) Key contributor to projects like SWEET PATHFNDR and SwissSTES Over 150 peer-reviewed publications and 6 patents Awards: Recipient of the Best Paper Award at the 2015 Greenstock Conference for contributions to energy storage research. Labs/Teams: Leads the IME Institute and collaborates with SCCER Heat & Electricity Storage and international networks like IEA Annex 35.

• Semantic Web
• Data Integration
• Ontology Matching
• +۴ مورد دیگر

Dominique Ritze is a Research Fellow at the Data and Web Science Group of the University of Mannheim. Her research focuses on ontology alignment, semantic web technologies, linked open data integration, and knowledge organization systems. She collaborates with Prof. Dr. Christian Bizer and Prof. Dr. Kai Eckert on projects like InFoLiS II, aiming to advance data integration and semantic web applications. Education: MSc Computer Science (Diplom-Informatikerin) Research Interests: Dominique’s work bridges theoretical and applied aspects of semantic web technologies. Key areas include ontology evaluation frameworks, cross-domain data integration, and the development of tools for provenance tracking and data reuse. She has contributed to methodologies for aligning knowledge organization systems (KOS) and enhancing discovery systems with linked data. Publications Trends: Her articles from 2010-2015 emphasize ontology alignment (e.g., OAEI evaluations), semantic web applications, and data integration techniques. Notable contributions include the ICE-Map visualization for KOS evaluation and the Mannheim Search Join Engine for cross-website table integration. Awards: No scientific awards explicitly listed in the provided texts. Projects & Teams: Active in the Data and Web Science Group, leading projects on web table matching and semantic data integration. Collaborates with global research networks through initiatives like the Ontology Alignment Evaluation Initiative.

Emil Kolevمشاهده پروفایل

استاد

• Finite Element Method
• Structural Mechanics
• Dynamics and Vibrations
• +۴ مورد دیگر

Prof. Emil Kolev is a Professor of Technical Mechanics at Schmalkalden University of Applied Sciences, specializing in Finite Element Methods (FEM), structural mechanics, and robotics. He holds a Prof. Dr.-Ing. habil. degree and has over 20 years of expertise in FEM analysis, structural optimization, and failure prevention in mechanical components. His career includes roles at TU Ilmenau and as a project leader in technology transfer. Education: 1984–1985: Mechanical Engineering, Gabrovo Technical University (Bulgaria) 1985–1990: Technical and Biomedical Cybernetics (specializing in Computer Science), Ilmenau University of Applied Sciences (Germany) Research Focus: His work centers on FEM-driven analysis and optimization of mechanical systems, including vibrations, material strength, and robotics. Key areas include worm-like locomotion systems, deformable magnetic actuators, and structural integrity verification through simulation-experiment correlation. Publications highlight advancements in FEM modeling for robotics, thermal analysis in food processing, and multi-body system dynamics. Patents & Innovation: Developed novel tripod mechanisms and cutting tools for the meat industry Contributed to magnetic locomotion prototypes and ferrofluid-based actuator designs Key Contributions: His research bridges theoretical FEM methodologies with practical applications in industry and robotics, emphasizing interdisciplinary approaches to mechanical system design and validation.

• Gravitational Wave Physics
• General Relativity
• Astrophysics
• +۳ مورد دیگر

Elisa Maggio is a Research Fellow at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam, Germany. She holds a PhD from Sapienza University of Rome, where her thesis, Probing new physics on the horizon of black holes with gravitational waves , earned multiple awards including the Amaldi Research Center Prize, Giulio Rampa Prize, and Fubini Prize. Her work focuses on testing general relativity in extreme environments using gravitational waves, particularly investigating the nature of black hole horizons and alternative theories of gravity. As a Marie Curie Fellow, she contributes to the ThorGW project, exploring horizon properties with future detectors like LISA and the Einstein Telescope. Her research involves modeling gravitational wave signals from compact object mergers, analyzing ringdown phases, and developing parametrized waveform models for precision tests. Notable contributions include studies on horizonless compact objects and their gravitational wave signatures. Maggio’s position is supported by grants from the Leibniz Prize (DFG) and Marie Skłodowska-Curie Actions. Elisa has been recognized with prestigious honors such as the Laura Bassi Prize for early-career women in physics (2024) and the Sapienza University of Rome’s thesis prize (2025). Her work bridges theoretical physics with observational challenges, advancing our understanding of gravity’s limits in strong-field regimes.

Miriam Clincyمشاهده پروفایل

استاد

• Mathematics Education
• Physics Education
• STEM Teacher Training
• +۳ مورد دیگر

Prof. Miriam Clincy is a Professor of Mathematics, Physics, and STEM Teacher Training at Hochschule Esslingen University of Applied Sciences. She holds roles as University Representative for Higher Education and Associated Member of the Tübingen School of Education (TüSE). Her work focuses on innovative educational technologies, particularly online assessment systems like STACK in Moodle, and teacher training methodologies. Education: PhD in Physics, University of Edinburgh (2003) Physics Diploma (M.Sc. equivalent), Universität Heidelberg & University of Edinburgh (2000) Research Interests: Prof. Clincy bridges theoretical physics and STEM education. Key areas include online testing innovations, peer feedback systems, and teacher training through simulation-based assessments. She also maintains research on non-equilibrium systems from her earlier work in statistical mechanics. Publications: Recent work emphasizes educational technology (e.g., sandbox testing environments, Moodle integration) alongside foundational physics contributions in driven systems and phase transitions. Awards: Baden-Württemberg-Zertifikat für Hochschuldidaktik (2020) Advising & Grants: As Dean of Study (2019–2021), she oversaw TVET teacher training accreditation. Current projects include collaborative initiatives with the University of Tübingen and participation in the „Lehre hoch n“ network for educational innovation. Labs/Teams: Active in Hochschule Esslingen’s Basic Sciences faculty, contributing to curriculum development and assessment frameworks.

• 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.

• Space Efficiency in Skyscrapers
• Timber Construction
• Tall Building Design
• +۳ مورد دیگر

Emre Ilgin is a Postdoctoral Researcher specializing in Civil Engineering, focusing on sustainable architectural design and timber construction. His work contributes to UN Sustainable Development Goals related to affordable housing and climate action. Key research interests include space efficiency in skyscrapers, integration of renewable energy systems in tall buildings, and innovative wood-based materials for construction. Collaborations involve institutions in Finland and international conferences like World Conference on Timber Engineering. Recent publications explore topics such as glulam structural behavior, fire-resistant thermal insulation, and productivity improvements in industrial wood apartment construction. His research bridges architectural design, material science, and sustainable building practices.