جستجوی استاد راهنمای دانشگاهی

Ryan Wagnerمشاهده پروفایل

استادیار

• Nanomechanics
• Optomechanics
• Scanning Probe Microscopy
• +۵ مورد دیگر

Ryan Wagner is a Research Assistant Professor in the School of Mechanical Engineering at Purdue University. He holds a B.S. (2008) and Ph.D. (2014) in Mechanical Engineering from Purdue University, with a minor in Physics. His research focuses on nanotechnology, microscopy, metrology, and dynamics, with applications in optomechanics and micro/nanotechnology. He has held postdoctoral positions at the National Institute of Standards and Technology (NIST) and Asylum Research, specializing in atomic force microscopy (AFM) instrumentation and optomechanical force standards. Education: B.S. in Mechanical Engineering, Purdue University (2008) Ph.D. in Mechanical Engineering, Purdue University (2014), Thesis: Advanced AFM Techniques for Cellulosic Nanomaterials Research Interests: Nanomechanics and optomechanics AFM-based material characterization Development of force/mass standards using optical cavities Biomedical applications of nanotechnology Articles Trends: Recent work emphasizes optomechanical systems, precision measurements in AFM, and interdisciplinary applications in biomedicine and materials science. Publications span Nature , Proceedings of the National Academy of Sciences , and Optics Express . Awards: National Research Council Postdoctoral Fellowship (2014) Office of Naval Research Summer Faculty Fellowship (2021) Charles C. Chappelle Fellowship (2009) Advising/Grants: Active in mentoring graduate students and securing grants for interdisciplinary projects. His lab focuses on applying vibration dynamics to multiphysics problems in collaboration with industry and national labs. Labs/Teams: Leads research in optomechanical force standards and AFM instrumentation development at Purdue’s School of Mechanical Engineering.

Carmel Majidiمشاهده پروفایل

استاد

• Soft Robotics
• Wearable Robotics
• Soft Electronics
• +۱۲ مورد دیگر

Carmel Majidi is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the Soft Machines Lab, where his research focuses on soft robotics, wearable computing, and advanced materials that mimic biological systems. His work enables robots and machines to safely interact with humans through soft, deformable technologies. Education: Ph.D. in EECS, University of California, Berkeley (2007) B.S. in Civil and Environmental Engineering, Cornell University (2001) His research interests span soft robotics, stretchable electronics, liquid metal materials, and bio-inspired engineering. He develops soft electromechanical materials for applications in haptics, medical devices, and human-machine interfaces. His group pioneers fabrication methods for soft composites and microfluidic systems that function as artificial skin, nervous tissue, and muscle. The recent trend in his publications highlights a strong focus on soft actuators, self-healing materials, liquid metal composites, and haptic interfaces for virtual and augmented reality. His work integrates materials science, robotics, and advanced manufacturing to enable scalable, robust, and practical soft systems. Scientific Awards: 2023 Inno Fire Award for Trailblazing Innovators, Pittsburgh Business Times Majidi leads a major research thrust in a new NSF Engineering Research Center (ERC) dedicated to improving robot dexterity, funded up to $52 million. He has been instrumental in developing soft robotic systems inspired by prehistoric organisms, such as the pleurocystitid, and in creating healthcare devices powered by body heat using liquid metal technologies. His research has been featured in Popular Science , Communications of the ACM , and Ars Technica . He is actively involved in advancing scalable manufacturing of soft electronics and enabling robust integration between soft materials and conventional microelectronics. His lab collaborates across disciplines to push the boundaries of physical AI and wearable robotics.

• Chemical Engineering
• Multiphase Systems
• Process Intensification
• +۴ مورد دیگر

Peter Martin is a Senior Lecturer in Chemical Engineering at the School of Chemical Engineering and Analytical Science, The University of Manchester. He leads the Multiphase Processing Group, which has secured over £4.1M in public and industrial funding. Current affiliation: The University of Manchester (2012–present) Prior roles: Lecturer (2007–2012), fixed-term Lecturer at University of Oxford (2004–2007) Education: PhD in Chemical Engineering, University of Cambridge (2002) MEng in Engineering Science, University of Oxford (1998) His research spans three themes: biosurfactant production/characterization, structured liquids/soft solids, and multiphase processes for MEG reclamation in oil/gas industries. He utilizes advanced techniques like Electrical Resistance Tomography and collaborates with Unilever and Cameron on industrial projects. Recent publications focus on membrane distillation for desalination, high-viscosity mixing analysis, and laser spectroscopy applications. He received the EPSRC Challenging Engineering award in 2011.

• Robotics
• Underwater Robotics
• Computer Vision
• +۷ مورد دیگر

Claire Dune is an Assistant Professor at the University of Toulon, affiliated with the COSMER Laboratory (Mechanical and Robotic Systems Design Laboratory). Her research focuses on robotics, computer vision, and underwater systems, with applications in environmental monitoring and human-robot interaction. She teaches computer science, numerical methods, image processing, and visual servoing. Institution: University of Toulon Laboratory: COSMER (Mechanical and Robotic Systems Design Laboratory) Academic Rank: Assistant Professor Email: claire.dune@univ-tln.fr Her research centers on perception for robot control, particularly in underwater robotics and computer vision. Key interests include visual servoing, SLAM, gesture recognition for diver-robot interaction, and autonomous capabilities in real-world marine environments. She applies deep learning and sensor fusion techniques to enhance underwater visual perception and navigation. The recent publications demonstrate a strong trend in underwater robotics, with focus areas including tether dynamics (catenary modeling), ROV localization using umbilicals and IMUs, long-term visual localization in deep-sea environments, and color restoration in underwater imagery. Her work bridges theory and real-world application, contributing datasets like 'Eiffel Tower' for benchmarking and advancing multi-agent SLAM systems. Claire Dune has contributed to leading journals such as IEEE Robotics and Automation Letters, Ocean Engineering, and The International Journal of Robotics Research. Her editorial and survey work highlights her leadership in the domain of deformable object manipulation. Retrieval of benthic habitat abundance and bathymetry from hyperspectral data (DESIS) in shallow waters ROV localization using ballasted umbilical equipped with IMUs MAM3SLAM: Towards underwater robust multi-agent visual SLAM Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization Challenges and Outlook in Robotic Manipulation of Deformable Objects Claire Dune actively collaborates with researchers such as Vincent Hugel, Juliette Drupt, and Andrew Comport. She has supervised or co-supervised numerous research projects and publications, particularly in underwater robotics and assistive technologies. Her work involves experimental robotics and system integration, often validated in real marine environments. She leads research in the COSMER laboratory focused on underwater robotics, including projects on tethered ROVs, diver-robot communication via gesture recognition, and environmental monitoring using visual and hyperspectral data. Her team develops practical solutions for marine science and offshore operations, emphasizing robustness and autonomy.

• Jurisprudence
• Legal Philosophy
• Human Rights
• +۶ مورد دیگر

Henrik Palmer Olsen is a Professor of Jurisprudence at the Faculty of Law, University of Copenhagen (UCPH), where he has been a central figure since earning his Cand.jur. in 1993. He is a co-founder and member of the Centre of Excellence for International Courts and Governance (iCourts), a leading research center in global legal studies. His academic leadership includes serving as Associate Dean for Research and Head of the PhD School at UCPH. Education: Dr.jur. (2005), Faculty of Law, University of Copenhagen PhD (1997), Faculty of Law, University of Copenhagen MA in Socio-Legal Studies (1994), University of Sheffield Cand.jur. (1993), Faculty of Law, University of Copenhagen Henrik Palmer Olsen's research lies at the intersection of legal philosophy, human rights, and international courts, with a growing emphasis on data science applied to legal analysis. His work explores the theoretical foundations of law, judicial legitimacy, and the methodological evolution of legal scholarship. He has pioneered the integration of quantitative methods—such as citation network analysis and corpus linguistics—into doctrinal legal studies, bridging traditional and computational approaches. His recent publications reflect a consistent trajectory in analyzing international courts, legal diplomacy, and legal methodology. Works like 'Can quantitative methods complement doctrinal legal studies?' and 'Providing Legal Pincite Recommendations using Language Representations' illustrate his innovative approach, combining jurisprudence with AI and data-driven legal research. This positions him at the forefront of the digital transformation in legal science. Scientific Engagement: Speaker, Regulating “AI” in the EU: The “Artificial Intelligence Act” (2021) Speaker, EURECO Distinguished Lecture Series (2010) Lecturer, Bristol Law School Annual Jurisprudence Lecture (2010) Olsen has held major research management roles, including co-founding the Center for Studies in Legal Culture and leading the PhD school at UCPH. He has secured recognition through extensive research output and collaborations across Europe. His work is referenced in academic databases, Mendeley, and multiple Wikipedia pages, indicating broad scholarly impact. He is actively involved in shaping legal education, particularly through his textbook on legal methodology. He is associated with research environments such as the Nordic Asylum Law & Data Lab and maintains strong international networks, especially in EU legal studies and global mobility law. His multilingual abilities (Danish, English, French) support his transnational academic engagement.

• Natural Language Processing
• Information Extraction
• Deep Learning
• +۱۰ مورد دیگر

Thien Nguyen is an Associate Professor in the Department of Computer Science at the University of Oregon, within the College of Arts and Sciences. His research focuses on natural language processing, information extraction, and deep learning, with an emphasis on multilingual and large-scale language models. Ph.D., Computer Science, New York University M.S., Computer Science, New York University B.S., Computer Science, Hanoi University of Science and Technology His research explores how computers can understand human language to perform cognitive tasks, particularly by distilling structured information from massive multilingual text. He is a pioneer in applying deep learning to information extraction and has developed influential models and datasets such as CulturaX , Vistral , and Okapi . His lab designs learning algorithms for NLP tasks including event detection, machine translation, and chatbots. The recent work centers on large language models, cross-lingual transfer, and continual learning. His 15 most recent publications reflect a strong trend in multilingual NLP , large language models , event and relation extraction , and active and continual learning . These works span dataset creation, model development, and evaluation frameworks, often leveraging transformer architectures and reinforcement learning. The research is highly interdisciplinary, combining data mining, machine learning, and linguistic analysis. NSF CAREER Award (2023) Best Demo Paper Award, EACL 2021 Outstanding Demo Paper Award, EACL 2021 IBM Ph.D. Fellowship (2016) Dean's Dissertation Fellowship, NYU Harold Grad Prize, NYU Dr. Nguyen advises multiple Ph.D. and M.S. students and has secured significant research funding from the NSF, IARPA, and Adobe Research. His lab, UO-NLP, is actively developing tools like Trankit and FourIE . He teaches courses in data structures, machine learning, and NLP, and serves on the program and senior committees of top-tier conferences such as ACL, EMNLP, and NeurIPS. He is deeply involved in advancing multilingual NLP and democratizing access to language technologies across diverse languages.

• Computer Vision
• Pattern Recognition
• Facial Analysis
• +۵ مورد دیگر

Jorge Manuel M. C. Pereira Batista is an Associate Professor at the Department of Electrical and Computer Engineering , University of Coimbra, Portugal. He serves as a senior researcher at the Institute for Systems and Robotics (ISR-UC) and leads the Computer Vision Group. His career spans academic roles, research coordination, and industry collaboration. Academic Affiliation: University of Coimbra (Electrical & Computer Engineering Department) Research Institute: Institute for Systems and Robotics (ISR-UC) His research focuses on Computer Vision , Pattern Recognition , and applications of Differential Geometry in these fields. Key subdomains include facial analysis, visual surveillance, real-time vision systems, and machine learning integration. From 2010–2023, his recent publications highlight advancements in probabilistic models , transformer architectures , multi-branch learning , and biomimetic robotics . He has coordinated multiple funded projects such as: STORK : Avian protection systems NeuroCity : Intelligent street lighting 4D Facial Dynamics : Identity recognition iTRAFFIC : BRISA highway traffic monitoring His work bridges theoretical innovation (e.g., Riemannian manifold applications) with practical deployments in transportation, energy, and healthcare sectors.

Shreyas S. Raoمشاهده پروفایل

دانشیار

• Biodegradable Polymers
• Bioengineering
• Biomaterials
• +۱۵ مورد دیگر

Dr. Shreyas S. Rao is an Associate Professor in the Department of Chemical and Biological Engineering at The University of Alabama, College of Engineering. He leads the Rao Laboratory, which is affiliated with the Polymers and Soft Materials Research Center. His research focuses on engineering 3D biomaterial scaffolds to model cancer microenvironments, particularly in metastatic breast cancer and brain metastases. Dr. Rao earned his Ph.D. and M.S. in Chemical Engineering from Ohio State University and a B.E. from R.V. College of Engineering, India. He joined The University of Alabama in 2015 after a postdoctoral position at the University of Michigan. His research interests lie at the intersection of biomaterials, cancer biology, and systems engineering. He develops hydrogel and porous scaffolds to mimic in vivo tissue conditions, enabling the study of tumor dormancy, drug resistance, and metastatic progression in physiologically relevant models. His lab integrates biomaterial design with systems biology to uncover mechanisms of therapeutic resistance and devise strategies to reprogram the tumor microenvironment. The recent publications from his lab highlight a strong focus on metastatic cancer, particularly brain metastasis in breast cancer, tumor dormancy, immune interactions, phage-based therapeutics, and biomimetic modeling. The work spans from fundamental biomaterial design to translational applications in drug screening and personalized medicine. CAREER Award, National Science Foundation, 2018 Grant recipient, Breast Cancer Research Foundation of Alabama, January 2024 Named 'Emerging Leader in Biological Engineering,' Journal of Biological Engineering, 2019 Reichhold-Shumaker Assistant Professorship, The University of Alabama, 2017 Ohio State College of Engineering’s Texnikoi Outstanding Alumni Award, 2024 National Academy of Inventors (NAI) Inductee, 2024 American Cancer Society Research Scholar Award METAvivor Early Career Investigator Award Dr. Rao has successfully advised numerous graduate and undergraduate students, many of whom have received national fellowships and awards. His research is supported by grants from the NSF, American Cancer Society, BCRFA, and METAvivor. He collaborates with researchers at institutions such as the University of Alabama at Birmingham, Ohio State University, and UNC/NCSU. The Rao Lab also engages in outreach, mentoring high school and undergraduate students through programs like Randall Research Scholars and REU. The Rao Laboratory operates within the Science and Engineering Complex and is part of a broader network of research centers including the Polymers and Soft Materials Research Center and the Integrative Center for Athletic and Sport Technology. The lab fosters interdisciplinary collaboration and innovation in bioengineering and cancer therapeutics.

Jeanne Crassousمشاهده پروفایل

استاد پژوهش

• Chiroptics
• Fundamental Chirality
• Molecular Engineering of Helicenes
• +۷ مورد دیگر

Jeanne Crassous is a CNRS Research Director at the Institut des Sciences Chimiques de Rennes , University of Rennes, France. She holds a prominent position in the field of chiral molecular materials, with a focus on helicenes and their applications in optoelectronics and fundamental chirality studies. Position: CNRS Director of Research (DR1) Institution: University of Rennes, Institut des Sciences Chimiques de Rennes (ISCR) Email: jeanne.crassous@univ-rennes.fr Office: 236, Building 10A, Campus de Beaulieu, Rennes Education PhD in Organic Chemistry, École Normale Supérieure de Lyon (1996) Research Habilitation, École Normale Supérieure de Lyon (2005) Post-doctoral Research, ETH Zurich (1997) Student, École Normale Supérieure de Lyon (1989) Research Interests Dr. Crassous specializes in the molecular engineering of helicenes , including organic and organometallic variants with chromophores or aggregating units. Her work explores chiroptics and fundamental chirality , with a focus on chiral organometallic complexes and vibrational circular dichroism (VCD) . She investigates how molecular chirality influences optical, electronic, and spin properties, enabling applications in advanced materials and quantum technologies. Publication Trends Her recent publications (2016–2023) reflect a strong focus on chiral luminescent materials , circularly polarized luminescence (CPL) , and chiral-induced spin selectivity (CISS) . She integrates synthesis, spectroscopy, and computational modeling (TDDFT) to design and characterize novel helicene-based systems for optoelectronics, spintronics, and parity violation experiments. Scientific Awards CNRS Silver Medal (2023) Distinguished Member of the French Chemical Society, senior category (2023) CNRS Talent (2023) Chemistry Europe Fellow (2020/2021) National Prize of the Organic Chemistry Division (SCF, 2020) Elected Member of the European Academy of Sciences (2021) Victor Grignard–Georg Witting Lecture Award (GDCh/SCF, 2024) Advising, Grants, and Collaborations Dr. Crassous leads and collaborates on numerous national and international research projects, including ANR-funded programs such as SMM-CPL, ChirON, and iCHIRALight. She mentors early-career researchers and collaborates with leading experts in France (ENS Lyon, Strasbourg, Angers) and abroad (USA, UK, Spain, Israel, Poland, Netherlands, Greece). Her work bridges organic, inorganic, and physical chemistry, fostering interdisciplinary innovation. Laboratories and Research Teams She is based at the Institut des Sciences Chimiques de Rennes (ISCR) , a leading French research institute in chemistry. Her team works within the Organométalliques et Catalyse (OMC) and Physique de la Matière Molle (PMM) groups, focusing on the synthesis and characterization of chiral molecular systems. The ISCR provides state-of-the-art facilities for spectroscopy, crystallography, and materials testing, supporting her cutting-edge research in chiral functional materials.

E. James Peterssonمشاهده پروفایل

استاد

• Chemical Biology
• Protein Folding
• Protein-Protein Interactions
• +۱۳ مورد دیگر

E. James Petersson is a Professor in the Department of Chemistry at the University of Pennsylvania, with affiliations in the Perelman School of Medicine and the Biochemistry and Molecular Biophysics Graduate Group. His research integrates organic synthesis, molecular biology, computational modeling, and biophysics to investigate protein folding, protein-protein interactions, and their roles in diseases such as Parkinson’s and antibiotic resistance. His research interests center on developing chemical tools to study protein dynamics, particularly through the use of unnatural amino acids, thioamide modifications, and fluorescent probes. His lab focuses on understanding the misfolding of proteins like α-synuclein, the mechanisms of bacterial SOS response in antibiotic resistance, and post-translational modifications such as arginylation and acetylation. These tools enable high-resolution studies of protein conformational changes, aggregation, and signaling pathways. The recent publications reveal a strong trend toward interdisciplinary approaches, combining synthetic chemistry, biophysics, computational modeling, and neuroscience. His work spans from fundamental protein engineering and probe development to applications in disease modeling and diagnostic imaging, including PET tracers for synucleinopathies. The use of machine learning for predicting amyloidogenesis and advanced FRET techniques for conformational analysis highlights the cutting-edge nature of his research. He is supported by major funding agencies including the NIH, NSF, and DOE, reflecting the significance and impact of his work. His collaborations span across departments and institutions, particularly in neuroscience and radiology. Professor Petersson’s lab actively trains students and researchers in chemical biology and biophysics. He contributes to outreach and education through his group’s active presence and participation in scientific communities.

• Computational Structural Mechanics
• Finite Element Analysis
• Composite Materials
• +۷ مورد دیگر

Riccardo Augello is a Research Fellow in the Department of Mechanical and Aerospace Engineering at Politecnico di Torino, Italy. He is actively involved in both research and teaching, serving as a course collaborator in aerospace engineering programs focusing on structural mechanics and spacecraft design. His academic work is centered on advanced computational modeling of complex structures using the Carrera Unified Formulation (CUF). His research interests include computational structural mechanics, finite element analysis, composite materials, aerospace structures, multilayered systems, and nonlinear structural behavior. He specializes in high-fidelity modeling of deployable space structures, sandwich panels, and reinforced concrete systems, with a strong emphasis on accuracy and computational efficiency. His recent publications (2023–2025) reveal a consistent focus on applying CUF to diverse structural problems, including damage analysis in concrete, folding of tape springs, global/local modeling of composites, and dynamic behavior of metamaterials. The work demonstrates a strong trend toward high-order, refined modeling techniques for both terrestrial and space applications, often validated against experiments. Scientific Responsible, NOVITAS project (2023–2026), EU-funded MSCA grant on nonlinear analysis of deployable composite booms. He is a core member of the MUL2 (Multilayered structures and Multifield analyses) research group, collaborating closely with Prof. Erasmo Carrera and other researchers. His teaching contributions include modules in Spacecraft Structures, Aeronautical Structures, and Additive Manufacturing for Aerospace Applications. No formal advisees or scientific awards are mentioned in the available texts.

• Accountable AI Systems
• Internet of Things (IoT)
• Data Provenance
• +۱۲ مورد دیگر

Dr. Milan Markovic is an Interdisciplinary Fellow at the School of Natural and Computing Sciences, University of Aberdeen, where he conducts research at the intersection of computing, sustainability, and societal impact. He is actively involved in teaching, supervising PhD students, and leading interdisciplinary research projects focused on transparency, accountability, and trust in intelligent systems. His research spans several key domains, including accountable AI, data provenance, IoT governance, and sustainable agri-food systems. He investigates how technologies like AI, blockchains, and semantic web can support transparent and ethical digital infrastructures. His work emphasizes real-world applications in healthcare data governance, smart cities, and environmental sustainability. The recent publications highlight a strong trend toward developing tools and frameworks for transparency and accountability, such as the Transparent Emissions Calculation (TEC) Toolkit, Farm Explorer, and semi-automated provenance tracking in Trusted Research Environments. These works integrate knowledge graphs, federated learning, and blockchain to ensure verifiable, auditable, and sustainable digital systems. Dr. Markovic has contributed to numerous collaborative research initiatives, including EATS (Enhancing Agri-Food Transparent Sustainability) and SARA (Semi-Automated Risk Assessment), which aim to improve data governance and sustainability in complex socio-technical systems. He supervises PhD students in computing science and collaborates with interdisciplinary teams across academia and industry. His leadership in projects like RAInS, TrustLens, and PROoFD-IT demonstrates a long-standing commitment to building trustworthy IoT and AI ecosystems. These projects explore user empowerment, data transparency, and compliance in digital systems, particularly in food safety, healthcare, and urban environments. He is affiliated with the Department of Computing Science and contributes to both theoretical and applied research, with a strong emphasis on open, reproducible, and socially responsible computing.

Lars BEEXمشاهده پروفایل

پژوهشگر

• Computational Mechanics of Solids
• Bayesian Inference
• Multiscale Methods
• +۵ مورد دیگر

Lars BEEX is a Senior Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine, Department of Engineering. He holds the right to supervise PhD students and has directed five to completion. His research focuses on computational mechanics of solids, including Bayesian inference, multiscale methods, and quasicontinuum approaches, with applications to materials like textiles, foams, and medical devices. His academic journey includes a PhD from Eindhoven University of Technology (2008-2012), supervised by Marc Geers and Ron Peerlings, as well as MSc and BSc degrees from the same institution. **Research Interests:** - Computational mechanics of solids - Bayesian inference and uncertainty quantification - Multiscale modeling (quasicontinuum method) - Mechanical modeling of fibrous and discrete materials - Phase-field damage models - Contact mechanics and elastoplasticity **Awards:** - Biezeno Solid Mechanics Award 2013 (Best PhD thesis in solid mechanics, Netherlands) - Cum laude distinction for both MSc and BSc degrees **Industrial Collaborations:** - SISTO Armaturen - IEE - Kiswire International **Teaching:** - Numerical methods for continuous optimization - Courses for Computer Science, Mathematical Modelling, and Engineering students **Lab/Affiliations:** - Legato Team (part of the University of Luxembourg's engineering research cluster)

Christian Wagnerمشاهده پروفایل

استاد

• Fluid Dynamics
• Complex Fluids
• Biophysics
• +۷ مورد دیگر

Prof. Dr. Christian Wagner is a Professor in the Department of Physics at Universität des Saarlandes, Faculty of Natural Sciences and Technology. He leads the Research Group for Dynamics of Fluids, focusing on complex and biological fluids, particularly red blood cells, granular matter, and non-equilibrium systems. His research integrates experimental techniques such as particle image velocimetry, rheometry, and optical tweezers. Research Interests: His work centers on understanding the self-organization and flow behavior of complex fluids, including polymers, gels, and blood. Key areas include red blood cell dynamics, aggregation, sedimentation, microfluidic transport, and the rheology of granular materials. He investigates both biological and synthetic systems under confinement and non-equilibrium conditions. Publication Trends: His recent publications (2023–2025) show a strong focus on red blood cell mechanics, with recurring themes in aggregation, deformability, sedimentation, and microcirculatory flow. Collaborative work with Prof. Lars Kaestner is prominent, and studies often bridge physics, biophysics, and clinical diagnostics. Techniques like microfluidics, optical tweezers, and rheometry are frequently employed. Scientific Awards: No awards are explicitly mentioned in the provided text. Advising and Grants: He supervises a large group of PhD and master’s students working on red blood cell dynamics, microfluidics, and granular flows. He leads or participates in major funded projects such as the DFDK doctoral school 'Living Fluids', the Research Unit FOR 2688 on pulsating flow instabilities (funded by DFG with €2.3 million), and the Interreg project PowderReg. These projects involve international collaboration and interdisciplinary research. Labs and Teams: His research group is based in Building E2.6 at Campus Saarbrücken, housing experimental setups for rheology, microfluidics, and optical manipulation. The team includes senior scientists, postdocs, PhD, and master’s students, and collaborates closely with other institutions in France, Luxembourg, Morocco, and beyond.

Torsten Johnمشاهده پروفایل

استادیار

• Biophysical Chemistry
• Computational Chemistry
• Biomolecular Self-Assembly
• +۴ مورد دیگر

Torsten John is an Assistant Professor of Physical Chemistry at the School of Science, Constructor University Bremen gGmbH, Germany. His research bridges biophysical chemistry and computational chemistry to engineer biomolecular systems for biomedical applications. PhD in Chemistry (2020) from Leipzig University (summa cum laude) Postdoctoral experience at Max Planck Institute, MIT, and Leibniz Institute of Surface Engineering Research focuses on biomolecular self-assembly and membrane interactions , with implications for antimicrobial strategies , nanomedicine , and neurodegenerative diseases . Articles show interdisciplinary work combining experimental and theoretical approaches . Publications include high-impact journals like Advanced Functional Materials and Nucleic Acids Research . His group develops bionanomaterials using peptide nanofibrils and DNA origami, with applications in viral particle isolation and exciton transport . Collaborations span institutions in Germany, USA, and Australia. Teaching includes Physical Chemistry (CO-440) and Physical Chemistry Lab (CO-446-B) .