جست‌وجوی استاد و پژوهشگر

Chengguo Zhangمشاهده پروفایل

دانشیار

• Mining Engineering
• Geomechanics
• Numerical Analysis
• +۶ مورد دیگر

Associate Professor Chengguo Zhang is a researcher at the University of New South Wales (UNSW Sydney) specializing in Mining Engineering and Geomechanics . His work focuses on improving mining safety and sustainability through fundamental and applied research on dynamic rock mass failures , groundwater-mining interactions , and data-driven visualization technologies . He currently serves as the Postgraduate Research Coordinator for the School of Mining Engineering. PhD in Mining Engineering from UNSW Sydney (2015) Coordinates postgraduate research programs Recipient of multiple teaching and research awards Research Interests: Zhang's work addresses critical mining industry challenges through: Quantification of energy sources and dissipation in rock masses for rockburst management Integration of AI data analytics and 3D visualization for geotechnical risk assessment Mine subsidence and coupled hydro-mechanical behavior of rock discontinuities Development of digital ground control management systems Article Trends: His recent publications demonstrate expertise in: Numerical modeling of rock fracturing mechanisms Nonlinear fluid flow analysis in fractured rock masses Shotcrete and ground support system evaluation Hydro-mechanical coupling during shear processes Energy-based coal burst risk classification Scientific Awards: Tim Shaw Award for Innovation in Teaching (2024) International Outstanding Young Scholar Award (2023) UNSW Education Excellence Award (2021) UNSW Research Excellence Award (2018) Research Supervision: Supervises 12 active PhD students (9 as primary/joint supervisor) and has guided 11 PhD completions (7 as primary/joint supervisor), including 3 Dean's Award recipients. Focuses on numerical modeling, data visualization, and machine learning applications in mining geomechanics.

• Systems Biology
• Cancer Research
• Drug Resistance
• +۷ مورد دیگر

Sampsa Hautaniemi is a Professor at the Department of Biochemistry and Developmental Biology within the Faculty of Medicine at the University of Helsinki. He serves as Principal Investigator of the Systems Biology of Drug Resistance in Cancer research group and holds docentship in the Faculty of Medicine. Professor Hautaniemi actively supervises doctoral students across multiple programs including the Doctoral Programme in Biomedicine, Doctoral Programme in Clinical Research, and Doctoral Programme in Integrative Life Science. His research focuses on systems biology approaches to understand drug resistance mechanisms in cancer, particularly ovarian cancer. His work integrates computational biology, genomics, epigenetics, and bioinformatics to develop precision medicine approaches for cancer treatment. His laboratory develops innovative computational methods and experimental models including patient-derived organoids to study tumor evolution, identify therapeutic targets, and predict treatment responses. Analysis of his recent publications reveals a strong emphasis on understanding tumor heterogeneity, clonal evolution during therapy, and the development of computational tools for cancer genomics. His work spans multiple disciplines including cancer biology, computational biology, immunology, and precision medicine, with a particular focus on high-grade serous ovarian cancer as a model system. Scientific Awards: The Anders Jahre Medical Prize to young medical scientists (2014) for outstanding research on systems biology and cancer The Finnish Medical Foundation 50-years jubileum award (2010) Professor Hautaniemi has supervised numerous doctoral students and early-career researchers, contributing significantly to cancer research education. His research is supported by multiple active projects including the DECIDER project (Clinical Decision via Integrating Multiple Data Levels to Overcome Chemotherapy Resistance in High-Grade Serous Ovarian Cancer) funded until 2026, as well as projects from the Academy of Finland, Cancer Foundation, and industry partners like Orion Corporation. His laboratory maintains a patient-derived organoid biobank for high-grade serous ovarian cancer and develops computational tools like Jellyfish for visualizing tumor evolution.

Stephan A. Sieberمشاهده پروفایل

استاد

• Bioorganic Chemistry
• Antibiotic Development
• Chemical Proteomics
• +۵ مورد دیگر

Professor Stephan A. Sieber is a leading researcher in bioorganic chemistry at the Technical University of Munich (TUM), where he holds the Chair of Organic Chemistry II within the TUM School of Natural Sciences. His research program focuses on developing new drugs against multidrug-resistant bacteria through a multi-disciplinary approach that integrates synthetic chemistry, functional proteomics, microbiology, and protein biochemistry. His laboratory has made significant contributions to identifying unprecedented antibacterial targets beyond the scope of current antibiotics and exploiting these for chemical manipulation. Recent work has increasingly incorporated machine learning approaches to accelerate antibiotic discovery, with notable publications on AI-guided pipelines, drug-target interaction prediction, and high-throughput screening optimization. Sieber's research has resulted in the discovery of new active substances, some of which are currently being optimized for medical applications. His group's publications reveal a strong focus on chemical proteome mining, natural product mode of action studies, and novel antibacterial target identification. The lab has published extensively in top journals including Nature Chemistry, Nature Communications, and ACS Central Science. Inhoffen Medal (2024) Max Bergmann Medal (2023) ERC Advanced Grant (2023) Merck Future Insight Prize (2020) Klaus Grohe Prize (2020) ERC Consolidator Grant (2016) Professor Sieber leads an active research group that maintains a strong presence in the scientific community through regular publications, conference presentations, and collaborations. His laboratory website and BlueSky presence (@sieberlab.bsky.social) demonstrate ongoing research activities and engagement with the broader scientific community. He has successfully secured significant research funding including multiple ERC grants that have supported his innovative work in antibiotic discovery.

Charlie Ryanمشاهده پروفایل

دانشیار

• Micropropulsion Systems
• Electric Propulsion
• Electrospray Thrusters
• +۳ مورد دیگر

Dr Charlie Ryan is an Associate Professor in the School of Engineering at the University of Southampton , specializing in low-cost micropropulsion systems for small spacecraft. He leads the Astronautics Group and has a primary research focus on electrospray thrusters , Hall-effect thrusters , and small chemical propulsion systems using hydrogen peroxide. PhD in electrospray voltage effects from Queen Mary University of London (2011) Postdoctoral work on MEMS electrospray thrusters for cubesats (2011-2013, European Commission FP7 'MicroThrust') Post Doctoral Research Fellow at University of Surrey’s Space Centre (2014-2015) developing low-cost Hall-effect thrusters His recent research involves experimental characterization of ionic liquid ion sources , porous electrospray thrusters , and in-situ lunar propellants . Current projects include Protolaunch and SPRINT (Research England), Cryptalabs , and collaborations with SmallSpark. He has supervised 10 PhD students in propulsion technology and related fields. Publications demonstrate expertise in: Electrospray thruster diagnostics Dual-species ion emission mechanisms Flight-ready microthruster development Alternative propellants for Hall thrusters Lunar regolith-derived propulsion Modular thruster design Research funded by EPSRC , Royal Society , and Research England . His hardware has flown on space missions including the International Space Station.

Ryo Suzukiمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Augmented Reality (AR)
• Virtual Reality (VR)
• +۵ مورد دیگر

Ryo Suzuki is an Assistant Professor at the ATLAS Institute within the University of Colorado Boulder's Computer Science department. His research focuses on innovative intersections of Human-Computer Interaction (HCI), Augmented Reality (AR), and robotics. He explores systems that blend AI, haptics, and shape-changing interfaces to create enriched user experiences. Key areas of investigation include embedding interactivity into static educational materials (e.g., textbooks), developing AI-driven AR tools for procedural instruction, and creating shape-changing robotics for tactile feedback. His work often emphasizes practical applications in education, remote collaboration, and creative industries. Recent projects include MapStory (LLM-driven map animation), RealityEffects (3D volumetric video augmentation), and HoloDevice (holographic cross-device collaboration).

• Corrosion Science
• Materials Degradation
• Zinc Alloys
• +۳ مورد دیگر

Professor James Sullivan is a corrosion science expert at the Faculty of Science and Engineering, Swansea University , specializing in zinc alloys for galvanic protection. He developed an in-situ time-lapse imaging technique to visualize corrosion mechanisms, presented at the Gordon Research Conference in 2012. As co-director of the Materials Academy , he secured £15M in grants to train industry professionals and researchers, collaborating with Tata Steel, European Space Agency, and The Royal Mint. Research Focus: Microstructure-corrosion relationships in metallic coatings Key Projects: Novel zinc alloy coatings, additive manufacturing corrosion performance His recent publications analyze Zn-Mg-Al and Zn-Mg-Ca systems , antimony/germanium alloying effects, and additive manufacturing material optimization. Supervision includes PhD/EngD students working on galvanic coatings, high-entropy alloys, and sustainable materials. Teaching: Modules like Materials Degradation and Protection and Interpersonal Skills for Engineers .

Yan Chenمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computer Science Education
• Real-Time Data Analysis
• +۳ مورد دیگر

Yan Chen is an Assistant Professor at the Virginia Tech College of Engineering , where he leads the PRIME Lab (Programming with Intelligent Machines & Environments) . His work focuses on creating interactive Human-AI systems to enhance real-time data analysis and programming education, particularly addressing barriers in collaborative learning environments. University of Toronto (Postdoctoral Fellow) University of Michigan (Ph.D., Information Science) University of Colorado, Boulder (BS/MS in Applied Math & Electrical & Computer Engineering) His research bridges Human-Computer Interaction (HCI) and Computer Science Education , with a focus on real-time data analysis , AI-driven programming assistance , and scalable learning tools . He employs LLMs and human-centered design to simplify complex computational processes, enabling data workers to detect critical patterns efficiently. Recent publications highlight trends in generative AI for education , proactive AI programming support , and collaborative analytics . Key themes include real-time classroom insights , intergenerational smartphone learning , and automated feedback systems . Scientific recognition includes: 🏆 Best Paper at L@S 2024 🏅 Best Paper Honorable Mention at CHI 2023 🏅 Best Paper Honorable Mention at UIST 2022 🏆 Best Short Paper at VL/HCC 2020 He mentors a team of PhD and MS students in projects spanning AI-assisted education, web automation, and collaborative coding tools, with active recruitment for future research directions.

Valerio Pascucciمشاهده پروفایل

استاد

• Big Data Management
• Scientific Visualization
• Computational Topology
• +۷ مورد دیگر

Valerio Pascucci is a Professor at the University of Utah's School of Computing and a DOE Laboratory Fellow at Pacific Northwest National Laboratory. He directs the Center for Extreme Data Management Analysis and Visualization (CEDMAV) and previously led projects at Lawrence Livermore National Laboratory and University of Texas at Austin. PhD in Computer Science (Purdue University, 2000) MSc in Electrical Engineering (University 'La Sapienza', Rome, 1993) As a pioneer in Big Data Management , Scientific Visualization , and Computational Topology , his work connects topological methods with progressive algorithms to enable interactive exploration of petascale datasets. His research spans climate modeling , neuroscience , materials science , and precision agriculture , focusing on multi-resolution techniques and geometric compression . Recent publications show specialization in web-based visualization and AI-driven analytics for climate data, with emphasis on equity in data access and FAIR data principles . His ViSUS project enables real-time data streaming from supercomputers to desktops, while NAPA explores GPU-based architectures for streaming algorithms. Scientific Awards : Best Paper Award, IEEE Pacific Visualization 2011 Best Application Paper Award, IEEE VIS 2006 DOE Laboratory Fellow He advises numerous graduate students and leads collaborations across national laboratories , universities , and industry . Funded by NSF Grant #2127548 , he develops technologies for exascale computing and geospatial intelligence .

XiuJun Liمشاهده پروفایل

استاد

• Microfluidics
• Nanotechnology
• Lab-on-a-Chip
• +۹ مورد دیگر

Dr. XiuJun Li is a Professor in the Department of Chemistry and Biochemistry at The University of Texas at El Paso (UTEP) within the College of Science. He leads the Li Microfluidic Lab-on-a-Chip & Nanotechnology Group, focusing on the development of cutting-edge, low-cost diagnostic technologies for applications in bioanalysis, biomedical engineering, forensic science, and environmental science. His work is highly interdisciplinary, bridging chemistry, engineering, and biology. Dr. Li's primary research interests lie in microfluidics, nanotechnology, lab-on-a-chip systems, and point-of-care diagnostics. His lab specializes in creating paper and polymer hybrid microfluidic devices for the ultrasensitive detection of cancer biomarkers, infectious diseases (such as SARS-CoV-2 and pertussis), and environmental toxins. A significant focus is on making these devices instrument-free and affordable, particularly for use in resource-limited settings and rural areas. His recent work on a $3 paper-based cancer detector has garnered significant media attention, including features in the New York Post and local TV stations. The trend in Dr. Li's recent publications reveals a strong emphasis on developing portable, visual, and quantitative diagnostic platforms. His research frequently involves the integration of nanomaterials for signal amplification, the use of microfluidic chips for controlled reactions, and innovative readout methods like bar-chart displays and smartphone-based detection, all aimed at creating practical tools for real-world healthcare challenges. Dr. Li has received substantial recognition for his contributions to science, including being named one of the World's Top 2% of Cited Researchers by Elsevier and a Top Scholar by ScholarGPS. He is an Editorial Board Member for Microsystems & Nanoengineering (Nature Publishing Group) and has been awarded a Travel Grant from GEM on the Road’s PFI Programming. He holds patents for his inventions in biosensing and photothermal detection. Dr. Li is a dedicated mentor and educator. He has advised numerous PhD and Master's students, many of whom have gone on to prestigious postdoctoral positions at institutions like Harvard, UPenn, and MD Anderson. He is also the Director of the Forensic Science program at UTEP, where he organizes outreach events to engage students. His lab is actively involved in research, with multiple postdoctoral fellows and graduate students currently working on projects related to cancer detection and infectious disease study.

Christoph Heinzlمشاهده پروفایل

استاد

• Scientific Visualization
• Visual Analytics
• Immersive Analytics
• +۳ مورد دیگر

Christoph Heinzl is a Professor of Cognitive Sensor Systems at the University of Passau since September 2022. He leads the Knowledge-based Image Processing research group at the Fraunhofer Development Center X-ray Technology (EZRT) . His academic background includes a PhD in Informatics and a Habilitation in 2022 , both from TU Wien . Research Focus: Scientific visualization, visual analytics, immersive analytics, virtual/augmented reality, machine learning, and X-ray computed tomography (XCT). Key Trends: Development of novel visualization techniques for complex volumetric data (e.g., dynamic volume lines, visual coherence frameworks), parameter space analysis, and cross-virtuality collaboration tools. Applications: Aerospace component inspection, defect analysis in composites (CFRP, GFRP), porosity quantification, and 4DCT time-series exploration.

• Public displays
• Human-Computer Interaction
• Interactive Digital Storytelling
• +۳ مورد دیگر

Sandy Claes is an Assistant Professor in the Department of Communication Science at KU Leuven, affiliated with the Faculty of Social Sciences. She serves as a researcher in the Media Culture & Policy Lab and is a member of the DigiSoc – KU Leuven Digital Society Institute. Her roles include Co-Promotor and Promotor in various research projects, and she is an invited member of the Council of the Faculty of Social Sciences. Claes’ work focuses on public displays, Human-Computer Interaction, interactive storytelling, participatory design, and media design. Her research projects span topics like environmental data visualization, participatory design for science engagement, and the role of mixed reality in fostering community. Notable projects include 'Designing Interactive Data Stories to Uncover Uncertainty' and 'Aerial and Airing: Mapping Environmental Data'. Claes’ publications highlight themes such as uncertainty communication in science, immersive dome experiences, and co-creating public spectacles. She actively contributes to conferences like the EGU General Assembly and Design Research Society events. Her advising and grants involve leading multiple projects with roles as Promotor or Co-Promotor, emphasizing interdisciplinary collaboration. She is part of the Media Culture & Policy Lab and the Digital Society Institute, exploring intersections between technology, culture, and policy.

Hope Michelsenمشاهده پروفایل

دانشیار

• Combustion Science
• Thermo Fluid Sciences
• Air Quality
• +۴ مورد دیگر

Dr. Hope Michelsen is an Associate Professor in the Department of Mechanical Engineering at the University of Colorado Boulder, specializing in Thermo Fluid Sciences and Air Quality. Her research focuses on carbonaceous particle formation mechanisms, combustion diagnostics, and their environmental impacts. She leads efforts in developing laser/X-ray-based diagnostic tools for studying soot evolution in flames and atmospheric systems. Research Interests include soot inception/growth, black carbon climate effects, and particle synthesis control. She has pioneered studies on resonance-stabilized radicals' role in soot formation and developed novel sampling techniques like jet-entrainment methods. Her work bridges fundamental combustion science with practical applications in air quality and climate mitigation. Awards: Fellow, American Physical Society Fellow, The Optical Society Alameda County Women’s Hall of Fame Inductee Lab facilities include advanced diagnostics at ECME 1B68/ECNW 180. Research collaborations involve multi-scale modeling of emissions and atmospheric transport. Current projects address wildfire soot dynamics and Arctic methane monitoring through inverse modeling techniques.

Jung-Ho Yuمشاهده پروفایل

استادیار

• Bioanalytical Chemistry
• Nanotechnology
• Molecular Imaging

Jung-Ho Yu is Assistant Professor of Chemistry at the University of Waterloo, specializing in nanoscale bioanalytical platforms. His research develops nanotechnology for multiplexed molecular monitoring in biological systems, with applications in cancer imaging and diagnostics. Research focuses on: Design of excretable nanoparticle contrast agents Multiplexed tumor imaging using surface-enhanced Raman spectroscopy Advanced microscopy techniques for deep-tissue visualization Professional associations include the American Chemical Society and World Molecular Imaging Society. Teaches courses in Multi-Component Analysis and Analytical Chemistry.

Tom F.A. de Greefمشاهده پروفایل

استاد

• Synthetic Biology
• Molecular Computing
• Engineered Living Systems
• +۴ مورد دیگر

Tom F.A. de Greef is a Full Professor at Eindhoven University of Technology's Biomedical Engineering department, leading pioneering research at the intersection of synthetic biology, molecular computing, and engineered living systems. He founded the Center of Living Technologies and serves as a Core Professor at the Institute for Complex Molecular Systems (ICMS). Key research areas: Biological Computing Devices, DNA-based Data Storage, Engineered Living Materials, Synthetic Cell Engineering, Digital Chemistry, and Protocell Communication. His work has resulted in over 100 publications in Nature , Nature Chemistry , and Nature Nanotechnology , supported by prestigious awards including ERC Consolidator, Starting, and PoC grants, as well as NWO's VICI, VIDI, and VENI grants. He received the Cram-Lehn-Pedersen Prize in 2017 and was named a Groundbreaking TU/e Researcher in 2022. Leadership roles: Founding member of Center of Living Technologies, Principal Investigator at TU/e, and Fellow of the Netherlands Academy of Engineering. He supervises a large research group with >15 PhD students and leads collaborations across international institutions, focusing on programmable molecular systems and sustainable technologies aligned with UN SDGs.

• Microbiology
• Microscopy
• Methanotrophy
• +۳ مورد دیگر

Associate Professor Simon McIlroy is a microbial ecologist at Queensland University of Technology's Faculty of Health, School of Biomedical Sciences , specializing in visualization and characterization of microorganisms in their natural environments. PhD in Microbiology from La Trobe University Postdoctoral research at Aalborg University's Centre for Microbial Communities Senior Postdoctoral Fellow at University of Queensland's Australian Centre for Ecogenomics Current ARC Future Fellow at QUT's Centre for Microbiome Research His research combines meta-omics and single-cell visualization to investigate anaerobic methanotrophic archaea in freshwater sediments, focusing on: Novel respiratory strategies in archaeal lineages Methane oxidation biogeochemical cycles Environmental microbiology of wastewater systems Microbial community imaging techniques Recent publications demonstrate expertise in: Fluorescence in situ hybridization Multi-heme cytochrome functions Iron-methane redox interactions Protozoal-microbiome dynamics Viral ecology in marine systems Microbial life cycle analysis Scientific recognition includes: ARC Future Fellow for methane-oxidizing archaea research Available for supervision in areas including: Strain-level microbiome characterization Fluorescence microscopy applications Adaptive evolution of methanotrophic archaea Cell sorting and confocal microscopy