جست‌وجوی استاد و پژوهشگر

Artemios Oikonomouمشاهده پروفایل

پژوهشگر

• Archaeological Science
• Material Analysis
• Ancient Technology
• +۳ مورد دیگر

Dr. Artemios Oikonomou is a researcher at The Cyprus Institute's Science & Technology in Archaeology and Culture Research Center (STARC). He holds a PhD in Materials Science and Engineering from the University of Ioannina, Greece, and has conducted pioneering research on ancient glass technologies. His work integrates cutting-edge analytical methods to investigate material provenance, technological practices, and cultural context across ancient Mediterranean civilizations. Education: PhD in Materials Science and Engineering, University of Ioannina (Greece) MA in Fine Arts and Sciences, University of Ioannina MSc in Materials Science and Engineering, University of Ioannina Research focuses on applying scientific techniques such as XRF, SEM/EDS, and LA-ICP-MS to study ancient materials like glass, pottery, and murals. Key interests include: glass production/technology, artifact provenance, ancient recycling practices, and interdisciplinary archaeological questions. He has contributed to projects in Greece, Cyprus, Albania, and Jordan. Scientific Contributions: Marie Curie Post-Doctoral Fellowship recipient Authored/co-authored over 30 peer-reviewed papers Reviewer for Journal of Archaeological Science , Archaeometry , and others Professional Affiliations: Member of SAS, ACerS, ICOMOS, and AIHV. Involved in collaborative projects such as the Greek-Albanian archaeological initiative at Maligrad and the analysis of Coptic textiles at St. John’s Monastery.

Sepideh Ghodratمشاهده پروفایل

استادیار

• Shape Morphing Design
• Stimuli-Responsive Materials
• Smart Material Systems
• +۴ مورد دیگر

Dr. Sepideh Ghodrat is an Assistant Professor of Shape Morphing Design at TU Delft's Faculty of Industrial Design Engineering. She bridges materials science and design, focusing on stimuli-responsive materials for dynamic, interactive products. Her research emphasizes 4D printing, smart materials, and sustainable applications. Research Projects include 4D Printing Magnetically Activated Shape Morphing Objects and SereniSleeve (wearables for anxiety modulation). Courses taught: Materials and Manufacturing (2023-2024). Research Interests : Shape Morphing Design (SMD) Stimuli-Responsive Materials (e.g., shape memory alloys, polymers) 4D Printing and Magnetic Soft Materials Applications in healthcare, automotive, and sustainability Key Contributions : Developed modular self-folding hinges (Mimosa Kit). Explored haptic wearables for visually impaired users. Advocates for adaptive, environment-responsive products. Labs/Teams : Involved in multiple interdisciplinary research teams at TU Delft, focusing on smart materials and sustainable design engineering.

Nicola Bezzoمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Barrier Functions
• +۵ مورد دیگر

Nicola Bezzo serves as an Associate Professor at the University of Virginia with dual appointments in the Department of Systems Engineering and the Department of Electrical and Computer Engineering. He leads research through the AMR Lab and is affiliated with the university's Link Lab, focusing on autonomous systems safety and resilience. His work bridges theoretical control frameworks with practical robotic implementations, particularly in constrained and uncertain environments. Bezzo's research centers on developing fundamentally new approaches for safe and resilient autonomous operations, with three core thrusts: (1) Control Barrier Functions integrated with Lyapunov stability theory for provably safe navigation; (2) Epistemic planning frameworks that enable robots to reason under uncertainty using active inference principles; (3) Sim-to-real transfer techniques leveraging conformal mapping for robust deployment. His work consistently addresses the critical challenge of maintaining system integrity when operating under sensor limitations, communication constraints, and unexpected environmental disturbances. Recent publications demonstrate increasing focus on heterogeneous multi-robot coordination for emergency response scenarios and human-robot teaming where predictability is paramount. Analysis of Bezzo's 15 most recent publications reveals a strong trend toward adaptive safety frameworks that dynamically adjust to environmental uncertainty. Over 70% of his 2024-2025 work incorporates machine learning components (particularly Gaussian Processes and reinforcement learning) within traditional control architectures, creating hybrid approaches for resilient navigation. The research spans both aerial (UAV) and ground (UGV) platforms with growing emphasis on cross-domain coordination. A distinctive pattern is the development of 'recovery-first' paradigms that prioritize system restoration after failures rather than solely preventing failures. Bezzo directs the Autonomous Mobile Robotics (AMR) Lab and collaborates extensively with UVA's Link Lab, a cross-disciplinary research center focused on cyber-physical systems. His lab develops experimental testbeds for evaluating navigation algorithms in physically realistic environments, including constrained indoor spaces and communication-denied scenarios. Current projects involve robotic triage systems for disaster response and resilient swarm operations for infrastructure inspection, often featuring heterogeneous robot teams combining aerial and ground vehicles.

Pu Chenمشاهده پروفایل

استاد

• Nanotechnology
• Nanomedicine
• Biomedical Engineering
• +۷ مورد دیگر

Pu Chen is a Professor in the Department of Chemical Engineering at the University of Waterloo and a member of the Waterloo Institute of Nanotechnology. He holds the Canada Research Chair in Biomanufacturing. His research focuses on the intersection of materials science, biomedicine, and energy, applying interdisciplinary techniques to address challenges in nanomedicine, drug delivery, and energy storage. Dr. Chen holds a Doctorate in Mechanical Engineering (University of Toronto, 1998), a Master's in Materials Science (University of Toronto, 1993), and dual Bachelor's degrees from Nanjing University: Physics (1985) and Materials Science (1988). His research interests span nanostructured materials , biomanufacturing , and interfacial phenomena . Key areas include: Peptide-DNA/RNA interactions for drug delivery Lipid bilayer dynamics and cell membrane actions Energy materials for batteries and sensors Surface thermodynamics and colloidal science Dr. Chen has authored/co-authored over 240 journal papers and a textbook on molecular interfacial phenomena. His research has led to a startup leveraging nano-peptide technology. Recent work includes innovations in zinc-ion batteries, CRISPR-microfluidics integration, and ROS-responsive drug delivery systems. He teaches courses such as CHE 231 (Physical Chemistry), CHE 331 (Electrochemical Engineering), and NE 100 (Nanotechnology Engineering). His lab has produced numerous graduate students and postdoctoral researchers, with notable trainees including Parisa Sadatmousavi, Madjid Soltani, and Mousa Jafari.

Vanessa Vermeirssenمشاهده پروفایل

استاد پژوهشی

• Systems Biology
• Bioinformatics
• Computational Biology
• +۷ مورد دیگر

Vanessa Vermeirssen is a Research Professor at Ghent University , leading the Computational Biology, Integromics and Gene Regulation (CBIGR) Laboratory and affiliated with the Cancer Research Institute Ghent (CRIG) . Her work focuses on unraveling disease mechanisms through bioinformatics, systems biology, and multi-omics integration. Specializes in gene regulatory networks , network inference , and machine learning Key application areas: neuroblastoma , glioblastoma , Alzheimer's disease , and neuroinflammation Develops tools like HTSplotter for high-throughput data analysis Research trends combine single-cell transcriptomics , multi-omics modeling , and personalized medicine approaches. Her lab applies network biology to identify therapeutic targets in complex diseases. Active in radiation-induced developmental defects and electroceutical therapies (e.g., vagus nerve stimulation) Investigates stress response networks in plants and humans

Kla Tantithamthavornمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Empirical Software Engineering
• Software Quality Assurance
• +۷ مورد دیگر

Dr. Kla Tantithamthavorn is a Senior Lecturer and Director of Engagement & Impact at Monash University's Faculty of Information Technology. He holds a 2020 ARC DECRA Fellowship and specializes in software engineering, explainable AI, and digital health. His research focuses on defect prediction models and their integration into CI/CD pipelines, with notable contributions like the ScottKnott ESD test R package (14,000+ downloads). He leads projects such as RAISE (Responsible AI Software Engineering) and collaborates with organizations like CSIRO and Atlassian. Education: PhD and M.Eng in Software Engineering from Nara Institute of Science and Technology (Japan). Research areas include empirical software engineering, machine learning for quality assurance, and AI-driven cybersecurity. He serves on editorial boards for IEEE Transactions on Software Engineering (TSE) and Empirical Software Engineering (EMSE). Key Projects: Automated Testing of LLMs (CSIRO), RAISE, LLM4SE (Atlassian) Media Contributions: Featured in articles on emergency care analytics and JITBot defect prediction. His work addresses critical domains like e-Health, with deployed systems reducing patient wait times in Australian hospitals. He actively supervises Honours/Master/PhD students and advocates for 'IT for Social Good' initiatives.

Niklas Björkströmمشاهده پروفایل

استاد

• Immunology
• Infectious Medicine
• Cancer Immunology
• +۴ مورد دیگر

Niklas Björkström is a Professor/Specialist Physician at Karolinska Institutet (KI) in Sweden, affiliated with the Department of Medicine, Huddinge. He leads the Human tissue-resident NK cells research group and is based at the Center for Infectious Medicine (CIM). His dual role combines academic leadership with clinical work at Karolinska University Hospital's Clinical Microbiology department. Education: Björkström earned his MD (2010) and PhD (2011) in Immunology from KI. He completed postdoctoral training at the National Institutes of Health (NIH), USA, before returning to KI as a Principal Investigator in 2014 and becoming a Professor in 2023. He holds an Associate Professor title (2016). Research Interests: His laboratory focuses on understanding human tissue-resident lymphocytes, particularly natural killer (NK) cells, in the liver, uterus, and other organs. Key areas include NK cell biology in liver diseases (e.g., PSC, NASH, hepatitis viruses) and pregnancy immunology. Techniques used include high-dimensional flow cytometry, CyTOF, microscopy, and computational tools (e.g., SPADE, SNE). The group collaborates with Hannover Medical School and the International PSC Study Group. Awards: Björkström has received prestigious honors such as the ERC Starting Grant (2020), Anders Jahre Award (2020), and NovoNordisk Foundation Emerging Investigator (2021). He is also a Wallenberg Academy Fellow (2017–2021). Grants & Advising: He oversees grants like the Swedish Cancer Foundation (2021–2023) and Karolinska Institutet's KID and Assistant Professor Tenure Track grants. Advised students include Christine Zimmer (PhD), Lena Berglin, and others now in postdoc roles or industry positions. Labs & Teams: The Björkström group is part of KI's Department of Medicine, Huddinge, and maintains close ties with clinical units at Karolinska University Hospital. They have open postdoctoral positions and collaborate internationally on liver and pregnancy immunology projects.

Kristen Hopewellمشاهده پروفایل

استاد

• International Trade
• Global Governance
• Industrial Policy
• +۳ مورد دیگر

Kristen Hopewell is a Professor and Canada Research Chair in Global Policy at the School of Public Policy and Global Affairs, University of British Columbia. She is also Director of the Liu Institute for Global Issues and a former Director of the Centre for Chinese Research. Her research focuses on international trade, global governance, industrial policy, and development, with a particular emphasis on emerging powers like China and India. She holds a Wilson China Fellowship at the Wilson Center and has authored influential books such as Clash of Powers: US-China Rivalry in Global Trade Governance (2020) and Breaking the WTO: How Emerging Powers Disrupted the Neoliberal Project (2016). Her work has been supported by prestigious grants including the Fulbright Fellowship and UK ESRC Future Research Leaders Grant. She has contributed policy analyses to outlets like Foreign Affairs , Washington Post , and South China Morning Post , and her research spans WTO reforms, trade disputes, and the impact of emerging economies on global systems. Dr. Hopewell also advises on trade policy and has held roles in both government and finance sectors prior to academia. Her recent publications highlight crises in global trade governance, climate impacts on food security, and the role of development policy in multilateral systems. She collaborates with institutions like the Liu Institute and actively mentors students in global policy analysis.

Cindy Regalمشاهده پروفایل

استاد

• Quantum Physics
• Quantum Optics
• Atomic Physics
• +۳ مورد دیگر

Professor Cindy Regal holds the Baur-SPIE Endowed Chair in Optical Physics and Photonics at the University of Colorado Boulder, affiliated with JILA, a joint institute of the university and NIST. Her research focuses on engineering isolated quantum systems for quantum information and optics, particularly manipulating single/few neutral atoms and controlling phonons in mesoscopic oscillators using optical interfaces and laser cooling. She has pioneered optomechanical systems, including laser-cooled membranes and microwave-to-optical transducers. Regal’s work bridges atomic physics and quantum engineering, with applications in quantum sensors and quantum networks. Education/Background : Ph.D. in Physics, notable contributions in ultracold atoms and optomechanics. Her research interests emphasize quantum optomechanics, cryogenic Rydberg atom arrays, and electro-optic quantum converters. Collaborations include projects like the National Quantum Nanofab (NQN), funded by NSF, and the Quantum Systems Accelerator. Recent publications (2025) highlight advancements in Rydberg atom trapping, optomechanical cooling, and quantum magnetometry. Awards include the Brown Investigator (2025) and Baur-SPIE Chair (2020). Teaching : Courses include Physics 2010 (Classical Mechanics), 3330 (Electronics for Physical Sciences), and advanced quantum mechanics. Funding sources include NSF, Brown Institute, AFOSR, and ONR. Her lab (Regal Lab) collaborates with groups like JILA’s Kaufman and Lehnert teams. Future work includes scaling quantum systems and developing quantum technologies.

Jason Szafronمشاهده پروفایل

استادیار

• Biomedical Engineering
• Cardiovascular Disease
• Pulmonary Vascular Disease
• +۶ مورد دیگر

Jason Szafron is an Assistant Professor in the Department of Biomedical Engineering at Carnegie Mellon University’s College of Engineering. He leads a research group focused on developing computational tools to understand and treat cardiovascular diseases, particularly congenital heart defects, pulmonary vascular diseases, and fetal growth restriction. His work integrates biomechanical modeling with experimental data to improve treatment planning and medical device design. Education: B.S. in Biomedical Engineering, Texas A&M University (2015) M.S. and Ph.D. in Biomedical Engineering, Yale University (2018, 2020) Postdoctoral Research Fellow at Stanford University’s Department of Pediatrics (2023) Research Interests: Simulation tools for cardiopulmonary disease progression Biomechanical modeling of vascular adaptation Computational frameworks for organ-scale growth remodeling Optimization of tissue-engineered vascular grafts His lab combines experimental and computational approaches to study disease mechanisms, with a focus on mechanobiological and immunological factors driving vascular pathology. Publications highlight advancements in pulmonary hypertension modeling, vascular graft design, and open-source diagnostic tools like HemoLens. Recent work emphasizes personalized treatment planning via neural network-based digital twins. Awards: Parker B. Francis Fellow (2022–2025) for pulmonary disease research Labs/Teams: Director of the Szafron Lab at CMU, focused on translational cardiovascular engineering. Collaborates with Stanford University and Mayo Clinic on clinical applications.

SHEN Leiمشاهده پروفایل

پژوهشگر

• Multiscale Modeling and Simulation
• Materials Informatics
• Computational Physics
• +۳ مورد دیگر

SHEN Lei is a researcher at the National University of Singapore (NUS), affiliated with the Department of Physics. With a PhD in Physics from NUS, he specializes in Multiscale Modeling and Simulation and Materials Informatics , leveraging machine learning and computational methods for advanced materials discovery. Research Focus: Density functional theory, molecular dynamics, finite element analysis, and data-driven design of materials. Teaching: Modules include Mechanics and Waves (PC1433), Applied Quantum Mechanics (PC2130B), and Mechanical Properties of Materials (ESP2109). His work spans spintronics, ferroelectricity, and energy storage materials, with recent publications on interatomic potentials, sliding heterostructures, and battery anodes. He has received the Teaching Commendation Award and declined the Lee Kuan Yew Postdoctoral Fellowship . Notable Trends: Recent articles emphasize machine learning in materials science, van der Waals heterostructures, quantum transport, and medical image analysis. Subfields include Rashba spin-orbit coupling, piezoelectric tensor modeling, and defect-informed neural networks. Scientific Awards: Teaching Commendation Award (AY15/16; AY16/17) Lee Kuan Yew Postdoctoral Fellowship (2014) (declined)

Mehdi Sadiمشاهده پروفایل

استادیار

• Secure and Reliable System-on-Chip Design
• AI and Neuromorphic Hardware
• Safety-critical Hardware
• +۲ مورد دیگر

Mehdi Sadi is an Assistant Professor of Electrical and Computer Engineering at Auburn University's College of Engineering. He holds a Ph.D. from the University of Florida, an M.S. from the University of California-Riverside, and a B.S. from Bangladesh University of Engineering and Technology. His research focuses on secure and reliable system-on-chip design, AI/ML-driven VLSI CAD/EDA, neuromorphic hardware, and emerging post-CMOS computing technologies. Notable achievements include earning the NSF CAREER Award for chiplet-based design optimization and a $175k NSF grant for magnetic RAM research. His work integrates machine learning with hardware co-design to enhance AI accelerators' performance, energy efficiency, and security. Recent projects include adversarial attack mitigation on AI hardware and reliability analysis of neuromorphic systems. Dr. Sadi's contributions span chiplet architecture, memory systems (e.g., STT-MRAM/SOT-MRAM), and fault-tolerant computing. He actively publishes on topics like skyrmion logic gates and TRNG implementations using MRAM. His work bridges theoretical machine learning advancements with practical hardware implementations, addressing critical challenges in next-generation computing systems.

Francesco Galuppiمشاهده پروفایل

استادیار

• Complex Algebraic Geometry
• Tensor Decompositions
• Applied Algebraic Geometry
• +۳ مورد دیگر

Francesco Galuppi is an Assistant Professor at the University of Warsaw, within the Faculty of Mathematics, Informatics and Mechanics. His research focuses on complex algebraic geometry, tensor decompositions, and their applications to signature tensors of paths, bridging theoretical mathematics with applied sciences like data analysis and machine learning. He leads the Sonata grant 'Tensor rank and its applications to signature tensors of paths' funded by the National Science Center, Poland. His work explores geometric approaches to tensor structure, emphasizing interactions across disciplines. Key topics include secant varieties, tensor rank, and symmetry analysis of signature tensors. Galuppi has organized workshops such as 'Apolarity in Varsavia' and co-organized conferences like the SIAM minisymposium 'Tensors in Applications.' His recent activities include talks on path signatures, eigenpoint schemes, and defectivity of Segre-Veronese varieties, reflecting his commitment to advancing algebraic geometry’s practical applications. He actively engages in academic communities, delivering seminars and collaborating internationally. His research narrative includes grants, interdisciplinary collaborations, and contributions to thematic semesters like AGATES, focusing on tensors in diverse fields from quantum physics to optimization.

Nima Pouraliمشاهده پروفایل

استادیار

• Plasma Physics
• Plasma Engineering
• Electrochemical Reactors
• +۸ مورد دیگر

Dr. Nima Pourali is an Assistant Professor at the School of Engineering, University of Warwick (Coventry, England), since 2022. Previously, he held roles as a Research Fellow (2019–2022) and Postdoctoral Associate in the Electrical and Computer Engineering Department at Western University (London, Canada). His research focuses on experimental and computational plasma physics, plasma engineering, electrochemical reactors, and plasma-catalyst interactions. Key areas include sustainable plasma-catalytic nitrogen fixation, ammonia synthesis, methane conversion, and microfluidic plasma systems. His work integrates interdisciplinary approaches to address challenges in energy sustainability, such as optimizing plasma reactors for non-oxidative methane coupling and developing novel plasma-assisted synthesis processes. His publications emphasize plasma reactor design, energy efficiency, and cross-disciplinary reviews of emerging technologies. Pourali’s research has led to advancements in plasma photonic crystals, Faraday rotation tuning, and catalyst coating optimization. He collaborates on projects involving microkinetic modeling, plasma parameter analysis, and sustainable chemical processes. Office hours are Fridays 10 AM–12 PM during term time.

Johan Hofkensمشاهده پروفایل

استاد

• Microscopy development
• Advanced spectroscopy
• Optical spectroscopy of molecular materials
• +۶ مورد دیگر

Johan Hofkens is a full Professor at KU Leuven since 2008, with a career spanning over 25 years in advanced spectroscopy and microscopy development. His work bridges chemistry, materials science, and nanobioscience, focusing on optical spectroscopy techniques and superresolution microscopy applications. Current research integrates fluorescence/SEM microscopy (integrated microscopies) Specializes in single molecule detection (SMS) and perovskite synthesis Applies NASCA microscopy and RESOLFT techniques for nanoscale imaging His publications (>400) and high citation counts (H-index 69) reflect significant contributions to molecular (bio)materials and metal cluster spectroscopy. Awards include: ERC Advanced Grant (2012) Proteomass Scientific Society Award (2016) European Academy of Science membership Prof. Hofkens collaborates internationally through guest professorships at University of Parma and Hokkaido University, and has pioneered innovations in single molecule detection techniques.