جست‌وجوی استاد و پژوهشگر

Kalyani Nairمشاهده پروفایل

استاد

• Biomedical Engineering
• Biomechanics
• Tissue Engineering
• +۳ مورد دیگر

Kalyani Nair is a Professor in the Mechanical Engineering Department at Bradley University's Caterpillar College of Engineering & Technology, based in the Business and Engineering Convergence Center (BEC 3265). She can be contacted at knair@bradley.edu or (309) 677-4562. Her educational background includes: Ph.D. in Mechanical Engineering from Drexel University B.S. in Biomedical Engineering from Cochin University Dr. Nair's research focuses on biomedical engineering with expertise in biomechanics and tissue engineering . She investigates myofascial tissue mechanics in inflammatory conditions like ankylosing spondylitis, develops medical devices for spinal pathologies, and creates biomaterial scaffolds for tissue regeneration. Her work bridges engineering principles with clinical applications through techniques like myotonometry, electromyography, and computational modeling. Analysis of her recent publications (2015-2025) reveals persistent themes in musculoskeletal biomechanics, particularly spinal disorders and myofascial tissue properties, alongside tissue engineering for tendon regeneration and cancer models. Key trends include quantification of tissue mechanical properties, medical device innovation for pediatric neurosurgery, and scaffold optimization for regenerative medicine. Within the department, Dr. Nair serves as Coordinator of the Biomedical Concentration and sits on the Committee on the Use of Human Subjects in Research. She teaches courses spanning engineering design (ME 102), biomedical fundamentals (ME 280), CAD applications (ME 448, ME 648), and advanced topics in biomechanics (ME 580) and tissue engineering (ME 591).

Leonid Goubergritsمشاهده پروفایل

استاد

• Cardiovascular Modeling
• Computational Fluid Dynamics (CFD) in Medicine
• Hemodynamics
• +۱۰ مورد دیگر

Leonid Goubergrits is a Professor of Cardiovascular Modeling and Simulation at the Einstein Center Digital Future and Charité – Universitätsmedizin Berlin . With a background in applied mathematics and physics from the Moscow Institute of Physics and Technology, he has dedicated his career to applying computational fluid dynamics (CFD) to cardiovascular medicine since immigrating to Germany in 1995. His work bridges fundamental research and clinical applications, aiming to integrate numerical models into everyday medical practice to enhance diagnostics and reduce invasiveness. Doctorate at Technische Universität Berlin (2000) Habilitation at Technische Universität Berlin (2016) His research spans blood flow modeling in coronary vessels, cerebral aneurysms, heart valves, and the aorta, alongside artificial organ development and blood damage modeling . He leads a research group at Charité and the German Heart Center Berlin, focusing on patient-specific simulations and their translation to clinical settings. Recent publications highlight his work on deep learning integration for hemodynamic analysis, 4D Flow MRI validation , and medical device optimization using computational models. His team’s research includes virtual therapy planning for aortic valve replacements, hemolysis modeling , and pulmonary artery pressure sensors . Leonid actively contributes to education, redesigning TU Berlin’s Fluid Mechanics in Medicine curriculum and fostering interdisciplinary collaboration between engineers, physicians, and computer scientists. His vision emphasizes the digital transformation of medicine through computational modeling and simulation.

• Embedded Systems
• Software Verification and Validation
• Model Checking
• +۵ مورد دیگر

Stefan Kowalewski serves as Professor of Embedded Software at RWTH Aachen University, leading the Chair of Embedded Software (Informatik 11) within the Department of Computer Science. His research spans critical domains including medical cyber-physical systems, automotive software, and industrial automation, with over 150 publications demonstrating sustained scholarly impact. Professor Kowalewski's work focuses on three interconnected research pillars: Embedded Systems Verification: Pioneering model checking techniques for PLC code, particularly addressing state space challenges in GRAFCET-based specifications Medical Cyber-Physical Systems: Developing safety-critical software for mechanical ventilation, extracorporeal membrane oxygenation, and ARDS diagnosis systems with strong clinical collaborations Automotive Software: Creating verification frameworks and safety architectures for automated vehicles through projects like UNICARagil Recent publications reveal an increasing integration of AI techniques with traditional verification methods, particularly for medical applications involving neonatal care and critical respiratory support. His 2024-2025 work shows particular emphasis on timing isolation in vehicle communication systems, middleware performance evaluation, and robust AI models for medical diagnosis. Professor Kowalewski maintains active collaborations with RWTH Aachen University Hospital's medical departments and automotive industry partners. His laboratory operates specialized facilities including the Cyber-Physical Mobility Lab for vehicle research and in-vivo testing setups for medical device validation. He has supervised numerous doctoral candidates, with recent students focusing on topics like ARDS classification algorithms, GRAFCET verification techniques, and safety architectures for software-defined vehicles. His educational contributions include developing remote teaching platforms for cyber-physical systems education.

Alla Shefferمشاهده پروفایل

استاد

• Geometry Processing
• Computer Graphics
• Discrete Geometry
• +۷ مورد دیگر

Alla Sheffer is a Professor and Associate Head of Faculty Affairs in the Department of Computer Science at the University of British Columbia, Faculty of Science. She is affiliated with multiple research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Institute of Applied Mathematics, and ICICS (Institute for Computing, Information and Cognitive Systems). B.Sc., Hebrew University, Jerusalem (1991) M.Sc., Hebrew University, Jerusalem (1995) Ph.D., Hebrew University, Jerusalem (1999) Postdoctoral Research Associate, University of Illinois, Urbana-Champaign (1999-2001) Assistant Professor, Technion, Israel (2001-2003) Assistant Professor, University of British Columbia (2003-2008) Associate Professor, University of British Columbia (2008-present) Professor Sheffer's research focuses on geometry processing, addressing algorithmic challenges in digital shape modeling and manipulation. Her work primarily deals with discrete geometry representations, specifically meshes (polygonal model representations), with applications in computer graphics and computer-aided engineering. She utilizes tools from computational and differential geometry, discrete mathematics, and graph theory to generate, manipulate, and edit discrete geometric models. Her research spans virtual and augmented reality, visual computing, and 3D modeling, with significant contributions to sketch-based modeling, mesh processing, and cloth simulation. The 15 most recent publications reveal a consistent research trajectory in geometry processing, with recent work focusing on vector sketch processing, VR drawing tools, and advanced mesh manipulation techniques. Her work demonstrates a strong connection between human perception and computational methods, particularly in the interpretation of freehand sketches and the generation of perceptually-accurate geometric representations. The recurring themes across her publications include flowlines, curve networks, mesh parameterization, and the application of perceptual studies to improve algorithmic outputs. Eurographics Fellow ACM Fellow IEEE Fellow Royal Society of Canada Fellow SIGGRAPH Academy Member UBC Killam Research Prize NSERC Discovery Accelerator Supplement IBM Faculty Award Professor Sheffer has supervised numerous doctoral and master's students, with recent theses focusing on geometric mesh processing, vector sketch interpretation, VR drawing tools, and garment modeling. Her research group maintains strong connections with industry through various partnerships and has received substantial grant funding to support their innovative work in geometry processing and computer graphics. She teaches courses in computer graphics, geometric modeling, and video game programming, contributing significantly to both undergraduate and graduate education in computer science.

Nikita Kavokineمشاهده پروفایل

استادیار

• Nanofluidics
• Quantum Transport
• Solid-Liquid Interfaces
• +۵ مورد دیگر

Nikita Kavokine serves as Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences . His dual appointments span the Institute of Chemical Sciences and Engineering (ISIC) and the School of Chemical Sciences and Engineering (SCGC) , where he leads the Quantum Plumbing Lab (LNQ) and contributes to graduate teaching. Based at Building CH A2 398 in Lausanne, he maintains active research and instructional roles across EPFL's chemistry and chemical engineering programs. His research pioneers quantum nanofluidics and nanoscale transport phenomena , focusing on electron-ion coupling mechanisms in confined geometries. Key investigations include quantum friction in water-carbon interfaces, hydroelectric energy conversion through nanochannels, and plasmon-hydron resonances in two-dimensional materials. His work bridges condensed matter physics, electrochemistry, and fluid dynamics to develop fundamental principles for next-generation nanofluidic devices and quantum sensors. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research thrusts: quantum-enhanced energy conversion (evident in hydroelectric drag and electron cooling studies), non-classical ion transport (including ionic Coulomb blockade and interaction confinement), and emergent quantum hydrodynamics (momentum tunneling, collective modes). These publications consistently integrate advanced numerical methods with nanoscale experimental systems, establishing new paradigms for solid-liquid quantum interactions. Kavokine currently supervises three PhD students: Gispert Peter , Lu Hao , and Rigaux Killian David . His teaching portfolio includes graduate courses in Statistical Mechanics for Chemistry and Nanofluidics , emphasizing theoretical frameworks for many-particle systems and nanoscale fluid dynamics. Research funding supports his laboratory's exploration of quantum effects in nanofluidic channels, though specific grant details are not provided in source materials. The Quantum Plumbing Lab (LNQ) operates at the forefront of nanoscale quantum transport research, utilizing advanced nanofabrication and characterization techniques to probe electron-ion coupling phenomena. The lab's interdisciplinary team combines expertise in quantum physics, electrochemistry, and fluid dynamics to investigate fundamental limits of energy conversion and transport at atomic scales, with particular focus on graphene-based systems and angstrom-scale confinement.

• Photon Counting Detectors
• Spectral X-ray Imaging
• Grating-based X-ray Phase-contrast Imaging
• +۳ مورد دیگر

Daniel Berthe is a Researcher affiliated with the Department of Physics at the Technical University of Munich , operating under the Faculty of Medicine . His work focuses on advanced X-ray imaging techniques such as grating-based phase-contrast and spectral X-ray imaging , with applications in medical diagnostics and dentistry . Specializes in photon counting detectors and dark-field imaging Collaborates with institutions like the Munich Institute of Biomedical Engineering Develops simulation frameworks for improving panoramic dental imaging His research spans breast-CT , mammography , and bone mineral density estimation , leveraging grating-based X-ray phase-contrast for enhanced tissue visualization. Recent publications highlight his contributions to non-destructive testing in industrial contexts and self-supervised denoising algorithms in imaging. Presentations include talks at the SpecXray 2024 conference in Geneva and the IMXP 2023 in Munich on spectral X-ray applications in dental imaging.

• Structural Health Monitoring
• Steel-Concrete Composite Structures
• Physics-Informed Machine Learning
• +۶ مورد دیگر

Dr. Xinqun Zhu is an Associate Professor at the University of Technology Sydney (UTS) in the School of Civil and Environmental Engineering . He has held academic positions at Western Sydney University (2016-2017), University of Western Australia (2005-2009), and University of Manchester (2001-2005). His research spans structural health monitoring, steel-concrete composite structures, physics-informed machine learning, and advanced sensor systems.

• Model-Based Design
• Design Automation
• Optimization
• +۴ مورد دیگر

Marc C.W. Geilen is an Associate Professor at the Electronic Systems group , Eindhoven University of Technology. He leads the Model-Based Design Lab and contributes to the CompSOC Lab and High Tech Systems Center . His work focuses on model-based design methods, design automation, and optimization for real-time and embedded systems. Research Keywords: Cyber-Physical Systems, Real-Time Systems, Embedded Systems, Performance Analysis, Design Automation Key Collaborations: EU ECSEL TRANSACT project, SAM-FMS project, Arrowhead Tools initiative His recent publications address weakly-hard timing constraints in server-based systems, hybrid performance modeling for cyber-physical systems, and neural network optimization for communication. Article trends span Real-Time Scheduling , Trustworthy Modeling , Neural Network Efficiency , and Resource Allocation in distributed environments. Scientific Awards : Partial-Order Reduction for Performance Analysis (2018) Teaching activities include courses in Computational Modeling , Embedded Signal Processing , and Discrete Mathematics . He collaborates across projects like TRANSACT, SAM-FMS, and Arrowhead Tools, focusing on flexible manufacturing and cloud-to-edge transitions.

• Computational Chemistry
• Artificial Intelligence in Chemistry
• Molecular Modeling
• +۶ مورد دیگر

Professor Neil Berry is a distinguished academic and researcher in the Department of Chemistry at the University of Liverpool's School of Physical Sciences. He currently serves as Head of Department (2018-2024) and has held various significant administrative roles including Director of Post Graduate Research for the School of Physical Sciences (2015-2018) and Departmental PGR Lead. His academic journey began at Exeter College, University of Oxford where he earned his MChem in Chemistry (1999) followed by a DPhil (2002) under the supervision of Professor Paul Beer. Professor Berry's research expertise spans computational chemistry with a focus on applying AI, machine learning, and molecular modeling to solve complex problems in chemistry. His work primarily centers on four key areas: medicinal chemistry (particularly antimalarial and antiparasitic drug discovery), materials chemistry (including metal-organic frameworks and supramolecular gels), reaction mechanisms, and chemoinformatics. His group adopts a rational approach to research through molecular and material design, integrating computational modeling with experimental validation through close collaborations with the Liverpool School of Tropical Medicine, University of Washington, and industry partners including GSK, Bayer, and Unilever. His publication record demonstrates a strong focus on applying computational methods to drug discovery for neglected tropical diseases and advanced materials science. Recent work shows increasing integration of machine learning techniques across all research areas, with significant contributions to antimalarial drug development, snakebite treatment, and materials science applications. His research consistently bridges computational prediction with experimental validation, demonstrating the practical impact of his work. Treasurer - Royal Society of Chemistry Chemical Information and Computer Applications Group (2021 - present) Invited committee member - Royal Society of Chemistry Chemical Information and Computer Applications Group (2015 - present) Fellow of Higher Education Academy (2012 - present) Member of Royal Society of Chemistry (2005 - present) Referee for journals including Nature Communications, Journal of Medicinal Chemistry, and Journal of Computer Aided Molecular Design As an educator, Professor Berry has supervised numerous PhD students and postdoctoral researchers, with a particular emphasis on integrating computational approaches with experimental chemistry. His teaching innovations include Chemtube3D (web-based interactive 3D simulations of organic reactions), lecture recording systems, and ChemPreLab (a pre-lab interactive tutoring system). His research group operates at the intersection of chemistry, biology, and computer science, securing substantial funding from EPSRC, MRC, Wellcome Trust, and industry partners.

Sebastian von Mammenمشاهده پروفایل

استاد

• Games Engineering
• Virtual Reality
• Interactive Simulations
• +۳ مورد دیگر

Prof. Dr. Sebastian von Mammen is a tenured professor at the University of Würzburg's Institute for Computer Science, where he heads the Games Engineering research group and contributes to the Chair for Human-Computer Interaction. His group leads the Games Engineering academic program. Previously, he completed his habilitation (2012-2016) at the University of Augsburg's Chair of Organic Computing and was a postdoctoral fellow at the University of Calgary. His research spans: Real-Time Interactive Systems : Visual programming, immersion techniques, software engineering Interactive Simulations : Serious games for healthcare/logistics/construction Artificial Life : Self-organisation, adaptive systems, evolutionary computation Artificial Intelligence : Agent-based modeling, procedural content generation Recent publications (2023-2025) demonstrate strong focus on: Virtual reality applications in education (femtoPro optics simulator, BrainBuilder neuroanatomy) Healthcare technology platforms (VIA-VR for medical serious games) Game mechanics analysis (Match-3, Jump'n'Run flow) AI-driven emotion recognition and interactive systems Computational modeling of biological systems He leads the Games Engineering research group and previously participated in the Evolutionary and Swarm Design group (Calgary) and LINDSAY project. His lab develops VR simulations for scientific training and serious games applications.

Amir Miriمشاهده پروفایل

استادیار

• 3D Bioprinting
• Tissue Engineering
• Biomaterials
• +۴ مورد دیگر

Dr. Amir K. Miri is an Assistant Professor in the Department of Biomedical Engineering at New Jersey Institute of Technology (NJIT) and Director of the Advanced Biofabrication Lab. His work focuses on additive manufacturing for biomedical applications, particularly bioprinting technologies for tissue regeneration and disease modeling. After receiving his PhD in Mechanical Engineering from McGill University (2013) and completing postdoctoral training at the MIT-Harvard Division of Health Sciences and Technology, he began his academic career at Rowan University before joining NJIT. PhD, Mechanical Engineering, McGill University (2013) MSc, Mechanical Engineering, Sharif University of Technology (2007) BSc, Mechanical Engineering, Iran University of Science and Technology (2005) Dr. Miri's research spans advanced bioprinting platforms, including multi-axial extrusion, handheld printers, and digital light projection systems. His work emphasizes the development of biomimetic models for cancer, vocal fold tissue, and vascular systems, with a particular focus on microfluidic integration and material optimization for bioprinting. He has pioneered low-cost prototyping solutions for resource-limited settings and explored the role of extracellular matrix mechanics in cellular behavior. Key trends in his publications include 3D bioprinting for tumor modeling, microfluidic device applications in drug screening, and the use of hydrogels like GelMA in cancer research. His group has also advanced acoustic metasurface technology for biomedical wave manipulation and investigated the interplay between biomaterial rheology and bioprinting resolution. Dr. Miri leads a research team at NJIT focused on biofabrication and microfluidics, though specific student advisees are not listed in the provided information. His lab emphasizes interdisciplinary collaboration, particularly in the development of multi-material and multi-scale tissue constructs.

Satyajit Ambikeمشاهده پروفایل

دانشیار

• Biomechanics
• Human motor control
• Dynamical systems
• +۳ مورد دیگر

Satyajit Ambike is an Associate Professor in the Department of Health and Kinesiology at Purdue University , with courtesy appointments in the Department of Speech, Language, and Hearing Sciences. His research focuses on biomechanics , human motor control , and dynamical systems . PhD in Mechanical Engineering from The Ohio State University MS in Mechanical Engineering from The Ohio State University BE in Mechanical Engineering from University of Pune Dr. Ambike investigates human locomotion and prehension across the adult lifespan, analyzing how aging affects movement stability and the stability-agility tradeoff in daily activities. His work uses synergistic control frameworks to develop biomarkers for neuromuscular pathologies like Parkinson’s Disease. Recent publications emphasize adaptive gait analysis , prehensile control , and sensor-based mobility assessment using IMUs. Themes include aging, neuromuscular disorders, and movement optimization. Scientific Awards: Outstanding Graduate Faculty Teacher (2018) Presidential Fellowship (2009) Professional Affiliations: Advisory Board Member, International Society of Motor Control Advisory Committee Member, Center for Research on Brain, Behavior, and NeuroRehabilitation (CEREBBRAL) Faculty Associate, Center on Aging and the Life Course (CALC) Dr. Ambike’s lab, the Human Motor Behavior Group , trains PhD and MS students in biomechanical research, with graduates pursuing academic and clinical roles in physical therapy, neuroscience, and biomedical engineering.

Mahmoud Moradiمشاهده پروفایل

استاد

• Biomolecular Simulations
• Molecular Dynamics
• Protein Conformational Dynamics
• +۵ مورد دیگر

Mahmoud Moradi is a Professor of Physical Chemistry at the University of Arkansas, holding the distinguished position of Bruker Analytical Science Professor in the Department of Chemistry & Biochemistry within the College of Arts & Sciences. With a strong background in physics and computational chemistry, he leads the Biomolecular Simulations Lab (BioSimLab) focusing on protein dynamics and membrane transport mechanisms. Education: Ph.D. in Physics from North Carolina State University M.Sc. in Physics from Sharif University of Technology, Iran B.Sc. in Physics from Sharif University of Technology, Iran Postdoctoral Associate at Beckman Institute and Department of Biochemistry, University of Illinois at Urbana-Champaign (2011-2015) Professor Moradi's research centers around two inter-related questions: (i) how do proteins function by changing their conformation and undergoing concerted motions? and (ii) how can we simulate these functionally important conformational changes at an atomic level? His lab develops and employs Molecular Dynamics (MD) based enhanced sampling techniques to tackle both problems. They are particularly interested in the study of large-scale conformational changes of proteins such as those involved in membrane transport and signal transduction. A novel combination of nonequilibrium and equilibrium MD based techniques are employed to reconstruct the slow biomolecular processes such as inward- to outward-facing structural transition of membrane transporters at an atomic level. This research has implications for understanding disease mechanisms at a molecular level and improving computational methodologies for biomedically relevant applications. Professor Moradi's recent publications demonstrate a strong focus on membrane protein dynamics, particularly examining cholesterol-protein interactions, GPCR mechanisms, and membrane transporter functions. His work increasingly integrates experimental and computational approaches, with a notable emphasis on SARS-CoV-2 spike protein dynamics during the pandemic years. The publications consistently apply advanced molecular dynamics techniques to investigate protein conformational changes, with growing applications in drug delivery systems and computational drug design. Scientific Awards: NIH MIRA (R35) Award, 2022-2027 (as PI): Physics-based characterization of functionally relevant protein conformational dynamics NSF I-Corps Award, 2021-2022 (as PI): Physics-Based Binding Affinity Estimator NSF CAREER Award, 2020-2025 (as PI): Riemannian Reformulation of Collective Variable Based Free Energy Calculation Methods NIH R15 Grant, 2020-2023 (as PI): Molecular Characterization of the Influenza Hemagglutinin Mediated Membrane Fusion DOE Grant, 2020-2023 (as co-PI): Protein Targeting to the Chloroplast Thylakoid Membrane NSF HDR Grant, 2019-2022 (as PI): Atomic Level Structural Dynamics in Catalysts Connor Endowed Faculty Fellowship, 2018 Fulbright College Outstanding Researcher Award for 2023/24 academic year Professor Moradi has successfully mentored numerous graduate students through their PhD programs, with recent graduates including Ehsaneh Khodadadi, Shadi Badiee, and Ugochi Isu. His research is supported by substantial grants from NIH, NSF, and DOE, totaling millions of dollars in funding. His NIH MIRA award represents a significant long-term commitment to his research program, while his NSF CAREER award recognizes both research excellence and educational contributions. The Biomolecular Simulations Lab at the University of Arkansas is a vibrant research group that combines computational and experimental approaches to study protein dynamics, maintaining strong collaborations with experimental groups both within the university and at other institutions.

• Hydrology
• Hydrogeology
• Soil Physics
• +۵ مورد دیگر

Christine Stumpp is a Professor at the Institute of Soil Physics and Rural Water Management , affiliated with the University of Natural Resources and Life Sciences Vienna (BOKU) . Her work integrates hydrology , soil physics , and stable isotope analysis to address critical issues in groundwater recharge , climate change impacts on water systems , and microplastic transport in soils .

Amaresh Sahuمشاهده پروفایل

استادیار

• Soft Matter Physics
• Biological Membranes
• Continuum Mechanics
• +۵ مورد دیگر

Amaresh Sahu serves as an Assistant Professor in the Chemical Engineering Department at the University of Texas at Austin, leading the Sahu Lab which focuses on theoretical investigations of soft and living matter systems across multiple length and time scales. His research integrates concepts from chemical engineering, physics, computer science, and applied mathematics to address fundamental questions about how microscopic interactions produce emergent phenomena at larger scales. Dr. Sahu's educational background includes a Ph.D. in Chemical Engineering from the University of California at Berkeley (2022), where he worked with Professor Kranthi Mandadapu, followed by a postdoctoral fellowship in Physiology & Biophysics at Weill Cornell Medicine (2022-2023) with Professor Emre Aksay. He completed his undergraduate studies at Princeton University (2013) with a B.S.E. in Chemical Engineering and minors in Engineering Physics and Applied Mathematics, working with Professor Howard Stone. His research methodology combines analytical theory development with advanced numerical techniques including the finite element method and molecular dynamics simulations. A distinctive aspect of his work involves creating physics-based machine learning approaches that strictly adhere to fundamental physical laws and balance equations. The group frequently draws from continuum mechanics (both fluid and solid mechanics), transport phenomena, statistical mechanics, irreversible thermodynamics, and electrodynamics. Dr. Sahu's publication record demonstrates significant contributions to understanding biological membranes, with multiple papers in Physical Review Letters addressing membrane instabilities, non-equilibrium fluctuations, and computational methods. His recent work on the Arbitrary Lagrangian-Eulerian finite element method represents an important advancement in computational techniques for membrane dynamics. The Sahu Lab actively recruits graduate students through the UT Austin Chemical Engineering program and welcomes postdoctoral scholars and undergraduate researchers interested in theoretical and computational approaches to soft matter physics. The lab emphasizes deep scientific thinking over prior research experience, particularly for undergraduate students.