جست‌وجوی استاد و پژوهشگر

• Biomedical Electronics
• In-vitro Diagnostics
• Microfluidics
• +۳ مورد دیگر

Prof. Dr. Oliver Hayden holds the Heinz-Nixdorf-Chair for Biomedical Electronics at the TUM School of Computation, Information and Technology, Technical University of Munich. His research develops innovative in-vitro diagnostic techniques using interdisciplinary approaches spanning electronics, optics, microfluidics, and materials science. Current investigations focus on magnetic/optical diagnostics for blood cell analysis. Education includes a biochemistry degree and doctorate (1999) from the University of Vienna, postdoctoral work at Harvard University, and a teaching qualification in Analytical Chemistry. Professional experience encompasses positions at IBM Research Zurich and Siemens Healthcare, where he pioneered organic electronic techniques for medical diagnostics prior to joining TUM in 2017. Research explores biomedical electronics, microfluidic systems, and materials science for diagnostic applications. Recent publications demonstrate strong focus on quantitative imaging and magnetic cytometry for blood analysis, particularly in point-of-care diagnostics, COVID-19 severity assessment, and leukemia detection. Scientific Awards: European Inventor Award (2017) AMA Innovation Award (2016) Siemens NTF Award for Medical Imaging Patents (2013) Young Investigator Award, Society of Austrian Chemists (2002)

James Chelikowskyمشاهده پروفایل

استاد

• Computational Materials Science
• Quantum Mechanical Simulations
• Magnetic Materials
• +۴ مورد دیگر

James Chelikowsky is Professor and W. A. "Tex" Moncrief, Jr. Chair in Computational Materials at The University of Texas at Austin's Oden Institute for Computational Engineering and Sciences (ICES). His research pioneers quantum mechanical simulations for materials design and discovery across multiple domains. His educational background includes: B.S. in Physics from Kansas State University (1970) Ph.D. in Physics from University of California at Berkeley (1975) Chelikowsky's research spans computational materials science with focus on quantum models for functionalized nanostructures, simulations of liquids and crystal growth, "green magnetism" in dilute magnetic semiconductors, oxide defects, materials informatics, and high-performance electronic structure algorithms. His work bridges theoretical physics with practical materials engineering to solve complex problems in energy and electronics. Analysis of his 2012-2022 publications reveals evolving focus from fundamental quantum simulations toward machine learning integration for magnetic materials discovery, while maintaining strong contributions to two-dimensional materials and interfacial phenomena. Key trends include increased computational complexity and interdisciplinary collaboration with experimental groups. His distinguished honors include: Feynman Prize for Theory (2022) FMD John Bardeen Award (2021) Aneesur Rahman Prize (2013) Multiple society fellowships (MRS, AAAS, APS) Guggenheim Fellowship (1996) As leader of an active research group, Chelikowsky mentors graduate students in computational methods development. While specific grant details aren't provided, his sustained publication record and named chair position indicate substantial ongoing research funding. His group maintains strong industry and national laboratory collaborations evident in co-authorship patterns. The Computational Materials Group operates through ICES with research facilities supporting high-performance computing for materials simulations. Current projects focus on machine learning-guided materials discovery and quantum mechanical modeling of novel electronic materials.

Jay A. Guptaمشاهده پروفایل

استاد

• Condensed Matter Experiment
• Scanning Tunneling Microscopy (STM)
• Nanomaterials
• +۷ مورد دیگر

Prof. Jay A. Gupta is a Professor and Vice Chair for Graduate Studies and Postdoctoral Affairs in the Department of Physics at The Ohio State University. His research focuses on atomic-scale studies of novel materials using scanning tunneling microscopy (STM) to address challenges in energy conversion and advanced computing. Key areas include magnetic skyrmions in chiral systems, semiconductor defects, 2D materials, and spintronics. He leads a laboratory equipped with four advanced STM systems and collaborates on NSF NeXUS, an ultrafast science facility. Education: B.S. Chemistry/Physics (UIUC), Ph.D. Physics (UCSB) Lab Locations: Physics Research Building (labs 0101/0105/0178) Key Projects: Spin-polarized STM of MnGe, defect-mediated surface chemistry in semiconductors, ultrafast laser-material interactions His group has trained over 30 graduate/undergraduate students and postdocs, many now in academia and industry. Research is supported by NSF, Department of Energy, and industrial partnerships.

Marta Zlaticمشاهده پروفایل

پژوهشگر

• Systems neuroscience
• Circuit mechanisms of behaviour
• Learning and memory
• +۲ مورد دیگر

Dr. Marta Zlatic is a Principal Research Associate at the Department of Zoology , part of the School of Biological Sciences at the University of Cambridge. She leads the Zlatic Lab, focusing on the structural and functional relationships within neural circuits. Her research explores how nervous systems integrate sensory information and prior experiences to enable decision-making, emphasizing learning and memory , sensorimotor transformations , and connectomics . Using Drosophila melanogaster larvae as a model organism, her work combines optogenetics , electron microscopy , and functional imaging to decode circuit principles. Recent publications highlight trends in connectome analysis and behavioural neuroscience , with subfields spanning synaptic architecture , neural network modeling , and genetic manipulation techniques . She collaborates with interdisciplinary teams and maintains active research partnerships at the MRC Laboratory of Molecular Biology. Group members include Bernd Breuer, Nicolo Ceffa, Michael Clayton, and other researchers advancing understanding of Drosophila neurobiology. The lab contributes to Cambridge's Athena Swan Bronze Award initiatives for equality and inclusion in research environments.

Alisha Jonesمشاهده پروفایل

استادیار

• RNA Structural Dynamics
• Long Noncoding RNAs (lncRNAs)
• Protein-RNA Interactions
• +۴ مورد دیگر

Alisha Jones is an Assistant Professor of Chemistry at New York University, affiliated with the Department of Chemistry within the College of Arts & Science. She holds a Ph.D. in Chemistry from the University of Washington and dual Bachelor’s degrees in Chemistry and Zoology from Miami University of Ohio. Her research focuses on RNA structural dynamics, particularly the role of long noncoding RNAs (lncRNAs) in gene regulation and disease mechanisms. Dr. Jones employs a combination of biochemical, biophysical, and computational approaches to study RNA structure and function, including chemical probing, molecular dynamics simulations, and machine learning. Her group investigates how structural conformations of lncRNAs influence their biological roles, such as regulating gene expression through conformational changes. They also explore therapeutic strategies to target these RNA structures in diseases like cancer and viral infections. Notable projects include studying the Xist lncRNA’s A-repeats, SARS-CoV-2 methylation complexes, and the functional core of the lncRNA Cyrano. Publications highlight her work on RNA structure probing techniques, cooperativity effects in chemical experiments, and the interplay between RNA dynamics and biological function. Her lab, the Jonesy Research Group, emphasizes interdisciplinary approaches and hosts outreach initiatives to promote RNA science. Dr. Jones is based at NYU’s Silver Center, and her contact information includes aj3863@nyu.edu.

Xiang Wangمشاهده پروفایل

دانشیار

• Computer-Aided Drug Design
• Machine Learning
• Artificial Intelligence
• +۸ مورد دیگر

Xiang Wang is an Associate Professor in the Department of Pharmaceutical Sciences at Howard University College of Pharmacy, where he also directs the Artificial Intelligence and Drug Discovery Core Laboratory for the District of Columbia Center for AIDS Research (DC CFAR). With approximately 20 years of experience, his work bridges computational methods and pharmaceutical innovation. Dr. Wang's research focuses on advancing drug discovery through cutting-edge technologies. His expertise includes computer-aided drug design (CADD) , machine learning , structure-based drug design (SBDD) , high-throughput screening (HTS) , and biomolecular simulation . He has been actively integrating virtual reality (VR) , augmented reality (AR) , and artificial intelligence (AI) into both pharmacy education and research, reflecting a forward-looking interdisciplinary approach. He has secured over 20 grants from federal, state, university, and international funding bodies and has published around 50 peer-reviewed articles, reviews, book chapters, and patents, along with 190 conference abstracts and invited lectures. His scholarly impact is further amplified by his service as a reviewer for more than 45 major journals, including the Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling . National Institutes of Health (NIH) National Aeronautics and Space Administration (NASA) American Association of Colleges of Pharmacy (AACP) Alzheimer’s Drug Discovery Foundation (ADDF) Dr. Wang has served on review panels for prominent funding agencies such as the NIH, NASA, AACP, and ADDF, contributing to the evaluation and advancement of scientific research in his fields. His leadership in the AI and Drug Discovery Core underscores his role in building research infrastructure and mentoring in a high-impact domain. While specific advisees are not listed, his extensive grant activity and lab direction suggest active student and postdoctoral involvement. His work in developing immersive technologies for professional pharmacy education highlights a commitment to innovation in teaching. The convergence of AI, VR, and AR in his research program points to a vision of next-generation drug discovery and pedagogy.

Howard S. Neufeldمشاهده پروفایل

استاد

• Plant Physiological Ecology
• Air Pollution Effects on Plants
• Water Relations of Plants
• +۳ مورد دیگر

Howard S. Neufeld is a Professor in the Department of Biology at Appalachian State University, with expertise in plant physiological ecology and air pollution impacts. His research focuses on ozone effects on native flora in the Great Smoky Mountains National Park, water relations in plants, and invasive species ecology. Education Ph.D. from University of Georgia (1984) Neufeld's research examines plant responses to environmental stressors, particularly tropospheric ozone and water stress. His work on cutleaf coneflower, tall milkweed, and Galax urceolata has revealed critical insights into foliar injury mechanisms, antioxidant defenses, and seasonal adaptation strategies. He investigates how invasive species like Microstegium vimineum exploit light gaps and how hydraulic conductance affects plant drought tolerance. His publication record shows consistent focus on ozone impacts in southern Appalachian ecosystems, with recent work emphasizing seasonal variation in plant responses, stomatal behavior, and biochemical defense mechanisms. Key trends include the development of non-destructive monitoring techniques and spatial analysis of pollution effects across landscapes. Advising & Grants Directed 20 Master's theses on plant ecophysiology, invasive species, and pollution impacts Currently mentoring 7 graduate students on lichen nitrogen responses, heavy metal effects, and ozone physiology Funded by National Park Service, U.S. EPA, National Geographic Society, and Friends of the Smokies Collaborates with researchers from Auburn University, USDA, Oak Ridge, and international institutions Neufeld maintains active field research in the Great Smoky Mountains National Park and operates laboratory facilities for gas exchange and plant stress analysis, with ongoing projects examining nitrogen deposition effects on lichens and nickel pollution impacts on pines.

Tom Wenseleersمشاهده پروفایل

استاد

• Theoretical Biology
• Evolutionary Biology
• Behavioural Ecology
• +۷ مورد دیگر

Tom Wenseleers is a Professor at KU Leuven's Department of Biology within the Faculty of Science, where he leads the Laboratory of Socioecology and Social Evolution. His research spans theoretical and experimental approaches to evolutionary biology, with particular focus on social insect systems. Research spans social insects (ants, bees, wasps), microbes, viruses, and human systems Primary model organisms: social insects studying major evolutionary transitions Current projects examine caste determination, chemical communication, and evolutionary conflicts His research integrates theoretical modeling with experimental, behavioral, and comparative studies. Recent work combines genomic techniques and high-throughput GC/MS analysis to decipher chemical communication systems. Current trends show increasing interdisciplinary work spanning virology (SARS-CoV-2 variants), microbial ecology (antibiotic resistance), and robotics (pollinator behavior monitoring). The research demonstrates consistent application of evolutionary theory to diverse biological systems while maintaining social insects as the core model. Wenseleers actively mentors PhD students and postdocs, with recent graduates including Kamiel Debeuckelaere and Viviana Di Pietro. His lab receives substantial funding through multiple concurrent research projects, including Promotor roles on grants examining caste development in bee societies and microbial metabolite screening. The laboratory maintains strong international collaborations across Europe and South America. The lab operates within the Ecology, Evolution and Biodiversity Conservation unit at KU Leuven, with physical location at Naamsestraat 59, box 2466, 3000 Leuven. The research group maintains active outreach programs including science workshops for schools and public engagement events focused on insect conservation.

Saverio Mascoloمشاهده پروفایل

استاد

• Network Congestion Control
• Real-time Communication Systems
• Adaptive Streaming Protocols
• +۴ مورد دیگر

Saverio Mascolo is a Full Professor at the Polytechnic University of Bari , Department of Electrical and Information Engineering. He leads the Control of Computing and Communication Systems Lab (C3Lab) and contributes to IEEE/ACM Transactions on Networking as an Associate Editor. His research focuses on Future Internet, network congestion control, and real-time communication systems. Laurea in Electronic Engineering, Politecnico di Bari (1991) PhD in Electronic and Automatic Control, Politecnico di Bari (1995) Visiting researcher roles at UCLA (1995, 1999), INRIA (2004), and FTW (2004) Research spans network congestion control , adaptive video streaming , and real-time communication . His lab develops protocols like TCP Westwood+ and contributes to WebRTC standards. Current projects include low-delay protocols for immersive video streaming and autonomous systems control. Recent publications emphasize adaptive threshold mechanisms in congestion control, millimeter-wave radar datasets , and immersive teleoperation systems . Projects integrate nonlinear control , time-delay analysis , and cloud-based multimedia delivery . Scientific recognition includes: Elevated to IEEE Fellow (2018) for congestion control contributions Google Faculty Award (2014) for WebRTC research Cisco Research Award (2013) for video streaming control Best paper awards at MMSYS (2025, 2024, 2016) Grants fund research in cloud-based video platforms (MISE, 2017-2020), WebRTC optimization (MIUR, 2012-2015), and network control algorithms. His lab collaborates with institutions like Uppsala University (since 2001) and industry partners.

Marta Costa Figueiredoمشاهده پروفایل

استادیار

• Electrocatalysis
• Carbon Dioxide Reduction
• Sustainable Chemical Processes
• +۳ مورد دیگر

Marta Costa Figueiredo is an Assistant Professor in the Department of Chemical Engineering and Chemistry at Eindhoven University of Technology (TU/e), specializing in electrocatalysis and electrochemical synthesis for sustainable processes. Her research focuses on converting CO₂ and biomass into high-value chemicals like fuels and organic molecules. She holds a MSc from University of Porto and completed her PhD at the University of Barcelona in 2012, followed by postdoctoral positions at Aalto University, Leiden University, and University of Copenhagen. She joined TU/e in 2019 after industry experience at Avantium. Research Interests: Her work addresses challenges in CO₂ electroreduction, catalyst design (e.g., Cu-based bimetallic systems), and scaling-up electrochemical processes for industrial applications. Key topics include formate production via In₂O₃ doping, lignin-based electrode functionalization, and superparamagnetic ferrite electrolyzers. Her group emphasizes understanding reaction mechanisms at electrochemical interfaces and improving catalyst stability under practical conditions. Awards: ISE Travel Award for Young Electrochemists (2015) Advising & Grants: Supervises 18 students and contributes to courses on electrochemical energy storage and inorganic chemistry. Her work aligns with UN Sustainable Development Goals 7 (Affordable Energy) and 13 (Climate Action). Labs/Teams: Leads research in TU/e's Inorganic Materials Chemistry group and collaborates with industry partners like Avantium. Active in interdisciplinary teams focusing on electrochemical CO₂ conversion and green chemical synthesis.

Helge Steinمشاهده پروفایل

استاد

• Digital Catalysis
• Battery Research
• Materials Science
• +۳ مورد دیگر

Prof. Helge Stein is a Professor in the Department of Chemistry at the Technical University of Munich (TUM), leading the Professorship for Digital Catalysis. He holds a doctorate in mechanical engineering from Ruhr University Bochum (summa cum laude) and conducted postdoctoral research at Caltech before joining TUM in 2023. His research focuses on accelerating materials discovery and optimization through digital tools like machine learning, robotics, and data management, with applications in catalysis and battery systems. Stein has pioneered the development of Materials Acceleration Platforms (MAPs) to streamline experimental and computational workflows globally. Education: Bachelor/Master in Physics, Georg August University of Göttingen (2008–2013) Doctorate in Mechanical Engineering, Ruhr University Bochum (2017, summa cum laude) Postdoc, California Institute of Technology (2017–2020) Tenure-track Professor, Karlsruhe Institute of Technology (2020–2023) Research Interests: Integration of robotics and AI in materials research High-throughput experimentation for battery and catalysis systems Data-driven approaches to nonlinear material-behavior analysis Development of decentralized Materials Acceleration Platforms (MAPs) Key Awards: ACS Engineering Au Rising Star (2023) Kit Innovation Award (2023) Masao Horiba Award (2021) Eickhoff Prize (2018) Teaching: Leads courses on high-throughput methods, data management in chemistry, and digital catalysis seminars. Collaborates with interdisciplinary teams across TUM's School of Natural Sciences and the Munich Institute of Robotics and Machine Intelligence. Labs/Teams: Directs research groups focused on automated electrochemistry, materials robotics, and AI-driven battery design, with partnerships spanning academia and industry for global MAP implementations.

Anqi Zhaoمشاهده پروفایل

استادیار

• Causal Inference
• Experimental Design
• Survey Sampling
• +۳ مورد دیگر

Anqi Zhao is an Assistant Professor at Duke University's Fuqua School of Business and the Department of Statistical Science in Trinity College of Arts & Sciences. She holds a Ph.D. in Statistics from Harvard University (2016) and a B.S. from Peking University (2010). Her research focuses on causal inference, experimental design, survey sampling, and missing data analysis, with applications in social, biomedical, and business sciences. She has co-authored grants such as the 'Principal stratification methods and software for intercurrent events in clinical trials' (2023–2028). Her recent work includes studies on covariate adjustment in randomized experiments, rerandomization techniques for covariate balance, and factorial experiments. She teaches DECISION 610: Foundations of Business Analytics at Fuqua. Prior to Duke, she worked at McKinsey & Company and served as an assistant professor at the National University of Singapore. Key contributions include methodological advancements in split-plot designs, difference-in-differences frameworks, and instrumental variable approaches. Her work emphasizes bridging design-based and model-based causal inference to enhance practical applicability in complex experimental settings.

• Quantum Science and Technology
• Condensed Matter Experiment
• Superconductivity
• +۴ مورد دیگر

Kasra Sardashti is an Assistant Professor of Physics at the University of Maryland and Principal Investigator at the Laboratory for Physical Sciences. He holds a Ph.D. in Materials Science and Engineering from UC San Diego (2016), and previously served as Assistant Professor of Physics & ECE at Clemson University. His research focuses on hybrid superconductor-semiconductor systems for quantum information processing, sensing, and communication through the Laboratory for Band Engineering of Quantum Systems (LaBEQs). Key research areas include band engineering at superconductor-normal material interfaces, advanced materials growth, nanofabrication, and low-temperature physics. His work is supported by NSF, DOE, AFOSR, and DARPA. He has pioneered voltage-tunable superconducting devices and hybrid quantum systems, with applications in classical-quantum processors and sensors. Notable contributions include studies on niobium-germanium interfaces and epitaxial superconducting heterostructures. Education: Ph.D. in Materials Science & Engineering, UC San Diego (2016) Previous Roles: Research Scientist, Center for Quantum Phenomena, NYU He received the 2021 ORAU Powe Junior Faculty Enhancement Award. His lab actively recruits postdocs, graduate students (Physics/Chemistry/Engineering), and undergraduates. Recent milestones include the 2024 Summer Internship Program and graduating an M.S. student. LaBEQs emphasizes interdisciplinary collaboration, integrating materials science, quantum engineering, and cryogenics. Ongoing projects explore low-loss materials for superconducting electronics and piezo-acoustic quantum transduction in complex oxide heterostructures.

• Soft Robotics
• Microfluidics
• Nanofabrication
• +۳ مورد دیگر

Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .

Paul M. O'Neillمشاهده پروفایل

استاد

• Medicinal Chemistry
• Drug Discovery
• Anti-infective Agents
• +۵ مورد دیگر

Professor Paul M. O'Neill is a distinguished academic at the University of Liverpool with appointments spanning the Department of Chemistry and Pharmacology. With over 30 years of experience in medicinal chemistry and drug discovery, he has established himself as a leading researcher in anti-infective drug development, particularly for neglected tropical diseases. His research interests focus on synthetic organic chemistry, pharmacology, drug-design, chemical biology, and medicinal chemistry of anti-infectives. Professor O'Neill's work spans the entire drug discovery pipeline from hit identification through to clinical candidate selection. His group has developed several drug candidates that have progressed to clinical trials, including Isoquine for malaria and AWZ1066S for filariasis. Analysis of his recent publications reveals a strong focus on malaria drug discovery, tuberculosis research, and filariasis treatment. His work combines medicinal chemistry with chemical biology approaches to understand mechanisms of action and validate drug targets. A significant portion of his research involves collaborations with the Liverpool School of Tropical Medicine (LSTM). Royal Society of Chemistry Malcolm Campbell Award (2011) RSC Chemistry Biology Interface Horizon Prize: Rita and John Cornforth Award (2024) Queens Anniversary Prize in Pharmacology (2018) Professor O'Neill has supervised 52 PhD students to completion and authored 191 publications with impressive citation metrics (WOS h-index = 55, Google Scholar h-index = 70). His research has been supported by major grants including funding from GSK, MMV, Wellcome Trust, MRC, and Eisai Ltd. His laboratory operates at the interface of chemistry and biology, with active programs targeting malaria, tuberculosis, and filarial diseases, making significant contributions to anti-infective drug discovery for neglected tropical diseases.