جست‌وجوی استاد و پژوهشگر

Bahar Haghighatمشاهده پروفایل

استادیار

• Robotics
• Control Systems
• Artificial Intelligence
• +۱۱ مورد دیگر

Bahar Haghighat is a Tenure Track Assistant Professor in Robotics and Automation at the Faculty of Science and Engineering, University of Groningen. She leads the Distributed Autonomous Intelligent Systems (DAISY) Lab as Principal Investigator and contributes to academic governance as a Member of the Faculty Council. Her professional affiliations include the Royal Netherlands Institute of Engineers (KIVI), the Institute of Electrical and Electronics Engineers (IEEE), and editorial roles with Nature Portfolio Journal Robotics and Springer Nature Journal Autonomous Robots. Her educational background includes: PhD in Robotics, Control, and Intelligent Systems from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (2018) Master's degree in Electrical Engineering/Digital Electronics from Sharif University of Technology (SUT), Tehran, Iran Bachelor's degree in Electrical Engineering/Physics (double major) from Sharif University of Technology (SUT), Tehran, Iran Dr. Haghighat's research focuses on building novel miniaturized robotic swarms and algorithmic frameworks for sensing, surveying, and inspection applications. Her work spans mechatronics, electronics, embedded systems, embedded artificial intelligence and machine learning, and distributed systems. She envisions developing surface, aquatic, and aerial miniaturized robot swarms and small-scale intelligent devices for basic research and commercial applications including inspection of complex structures, environmental monitoring, space exploration, and search-and-rescue operations. Her recent publications demonstrate a strong focus on swarm robotics, particularly using particle swarm optimization techniques for multi-robot coordination, surface inspection tasks, and spacecraft hull inspection. Her research shows an interdisciplinary approach combining mechatronic design with advanced algorithms for self-assembly and collective decision-making in resource-constrained robotic systems. Her notable scientific achievements include: EPFL's PhD research award of Gilbert Hausmann for the best PhD thesis in mechanical engineering, electricity, and physics (2019) EPFL distinction of excellence for a PhD thesis in Robotics, Control, and Intelligent Systems (2018) Swiss National Science Foundation Postdoc Mobility Fellowship (2019) Swiss National Science Foundation Early Postdoc Mobility Fellowship (2017) Third place in EPFL's "My Thesis in 180 Seconds" competition (2017) EECS Rising Star recognition (2021 at MIT and 2019 at UIUC) Dr. Haghighat has served as Program Co-Chair for The International Symposium on Distributed Autonomous Robotic Systems (DARS) and has held visiting scholar positions at MIT and Harvard University. Her research has received media attention for applications in Mars rover technology and drone swarms for defect detection. She leads the DAISY Lab, which focuses on distributed autonomous intelligent systems for various inspection and monitoring applications.

Hamid M Saidمشاهده پروفایل

استاد

• Vitamin transport physiology
• Intestinal nutrient absorption
• Molecular mechanisms of biotin uptake
• +۵ مورد دیگر

Hamid M. Said, PhD, PharmD is a Distinguished Professor in the Department of Physiology & Biophysics at the University of California, Irvine School of Medicine. He also holds a joint appointment as Distinguished Professor in the Division of Nephrology, Hypertension and Kidney Transplantation within the Department of Medicine, and serves as Vice-Chairman for Basic and Translational Research in the Department of Medicine. Dr. Said's research focuses on the cellular and molecular mechanisms involved in gastrointestinal handling of water-soluble vitamins, particularly biotin (vitamin B7) and thiamin (vitamin B1). His pioneering work has established the sodium-dependent multivitamin transporter (SMVT) system as the primary mechanism for biotin uptake in human intestinal epithelial cells. His laboratory investigates how inflammation, bacterial products, and genetic factors affect vitamin transport processes in the gut, with significant implications for understanding inflammatory bowel disease and nutritional deficiencies. Analysis of Dr. Said's extensive publication record reveals a consistent focus on vitamin transport physiology, with recent work expanding into the interactions between gut microbiota and vitamin metabolism. His research spans molecular mechanisms, cell biology, animal models, and potential clinical applications. A key theme across his work is how inflammatory conditions disrupt normal vitamin absorption processes, creating potential vicious cycles in gastrointestinal diseases. Dr. Said has maintained continuous funding from the National Institutes of Health, particularly from the NIDDK (DK 56061 and DK58057), supporting his research for many years. His laboratory employs diverse methodologies including molecular biology, cell culture models, gene expression analysis, and animal studies to investigate the physiological relevance of vitamin transport mechanisms. His work has established important connections between nutrient absorption, gut microbiome function, and inflammatory processes in the gastrointestinal tract.

Marco Baiesiمشاهده پروفایل

دانشیار

• Nonequilibrium systems
• Polymers
• Biopolymers
• +۵ مورد دیگر

Marco Baiesi is an Associate Professor in the Department of Physics and Astronomy at the University of Padua. His research focuses on nonequilibrium systems, polymers, biopolymers, topology, and machine learning applications in physics and biophysics. He has contributed to understanding the statistical mechanics of complex systems, including polymer dynamics, topological effects, and non-equilibrium thermodynamics. His work spans interdisciplinary areas such as biophysics, soft condensed matter, and machine learning for medical diagnostics. Notable contributions include studies on knotted polymer behavior, entropy production in non-equilibrium systems, and the application of AI to EEG-based dementia classification. Baiesi’s publications frequently explore topics like fluctuation theorems, stochastic processes, and the interplay between topology and material properties. His research has been published in high-impact journals such as Science , Physical Review Letters , and New Journal of Physics .

Shunji Egusaمشاهده پروفایل

دانشیار

• Nanomaterials Synthesis
• Nanomedicine
• Plasmonics
• +۴ مورد دیگر

Shunji Egusa is an Associate Professor at the University of North Carolina at Charlotte. He holds a B.Sc. in Physics from The University of Tokyo and a Ph.D. in Physics from The University of Chicago. His postdoctoral research was conducted at MIT and the Cleveland Clinic. His research focuses on nanomaterials synthesis, nanomedicine, plasmonics, and their applications in cancer therapy and fluid dynamics at the nanoscale. Current projects include insulator-to-metal transitions in nanomaterials, protein-based biomaterials, and nanotechnology for leukemia treatment. Research Interests: Insulator-to-metal transitions in nanocrystals Luminescent protein-gold complexes Nanomedicine for cancer chemotherapy Nano-cluster physics and chemistry Nanoscale fluid mechanics Funding Sources: His work is supported by the National Science Foundation (NSF), National Institutes of Health (NIH), Army Research Office, NASA-NC Space Grant Consortium, Leukemia Research Foundation, and the PhRMA Foundation. Internal university grants have also been pivotal in early-stage research. Lab Activities: The Egusa Lab emphasizes interdisciplinary approaches, combining physics, chemistry, and biology to develop novel nanomaterials and their societal applications. Key facilities include advanced characterization tools for nanomaterials and biomaterials.

• Multiphase Flows
• Computational Fluid Dynamics
• Turbulence
• +۴ مورد دیگر

Dr. Lina Baroudi is an Associate Professor in Mechanical Engineering at Manhattan University. Her research focuses on multiphase flows, computational fluid dynamics, and turbulence, with applications in nuclear reactor thermal hydraulics and mesoscopic simulation techniques. She holds a Ph.D. from The City College of New York and a B.S. from Damascus University. Education: Ph.D., The City College of New York MPhil, The City College of New York M.S., The City College of New York B.S., Damascus University Her research interests include studying surface-tension-driven flows, particle-laden flows, and developing predictive models using advanced computational methods like Lattice Boltzmann (LB), Molecular Dynamics (MD), and parallel high-performance computing. She has contributed to understanding Taylor-Couette flow dynamics, bubble rising mechanics, and droplet coalescence phenomena. Dr. Baroudi has been awarded prestigious fellowships including the Nuclear Regulatory Commission Graduate Fellowship (2015-2016), MRSEC PREM Fellowship (2011-2015), and NSF Graduate Research Fellowship (2009-2010). Her work bridges fundamental fluid dynamics with industrial and nuclear engineering applications. She teaches courses such as Engineering Mathematics, Applied Heat Transfer, and Finite Element Analysis. Her lab focuses on multiphase flow modeling and high-performance computing, collaborating with ASME, APS, and other professional societies.

Pekka Peljoمشاهده پروفایل

دانشیار

• Electrochemistry
• Energy Storage
• Flow Batteries
• +۵ مورد دیگر

Pekka Peljo is an Associate Professor at Aalto University's Department of Chemistry and Materials Science, leading the Physical Electrochemistry and Electrochemical Physics (PhysElectrochemPhys) research group since September 2018. His work focuses on charge transfer mechanisms at solid-liquid interfaces and within solid materials, with a strong emphasis on developing advanced batteries for large-scale energy storage. Education: Master's degree in Engineering and Technology from Helsinki University of Technology His research bridges Electrochemistry and Energy Storage , particularly in Redox Flow Batteries and Hydrogen Production via hydrocarbon electrolysis. Current projects include computational modeling of redox potentials, experimental flow battery designs, and scalable synthesis of cellulose nanocrystals for electrochemical applications. Selected trends from his 75+ publications include Electron Transfer at interfaces, Operando Battery Monitoring , and Sustainable Energy solutions. His work aligns with UN Sustainable Development Goals (SDGs) for climate action and affordable clean energy. Scientific contributions are recognized through grants from the Academy of Finland, EU Horizon Europe, and strategic funding for projects like CompBat (2020-2023) and H2fromHE (2024-2028). He has presented at international conferences (e.g., ELCAT, Spain, 2011) and hosted collaborations with institutions like EPFL. As Principal Investigator, Peljo leads projects such as PREDICTOR (2024-2028) for high-throughput screening of battery materials and Bi3BoostFlowBat (2025-2026). His group also investigates Hydrogen Production from natural gas and Vitamin B6-based Electrolytes for aqueous batteries.

Ricardo Ruiz Baierمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Finite Element Methods
• +۷ مورد دیگر

Ricardo Ruiz Baier is a Professor of Computational Mathematics at Monash University in Melbourne, Australia, where he also holds an ARC Future Fellowship. He is affiliated with the Victorian Heart Institute and the Monash Data Futures Institute, highlighting his interdisciplinary research bridging mathematical theory with biomedical applications. His research focuses on the design and analysis of numerical methods for partial differential equations, particularly those that preserve the physical properties of natural phenomena. His expertise includes fundamental topics in numerical analysis and scientific computing such as analysis of finite volume and finite element methods using mixed and augmented formulations, space-time adaptivity and error estimation, perturbed saddle-point problems, multiphase flow and transport in porous media, cardiac electrophysiology and electromechanics, and interface problems. His recent publications reveal a strong emphasis on virtual element methods, poroelasticity models, and cardiac mechanics applications. His work spans theoretical numerical analysis, computational methods development, and practical biomedical applications, particularly in cardiac modeling. The research demonstrates a consistent focus on multiphysics problems and the development of robust numerical schemes for complex coupled systems. Scientific Awards: ARC Future Fellowship FT22 for 'Next-generation methods for transport in poroelastic media with interfaces' Australian Research Council Discovery Project DP21 for 'Towards predictive 4D computational models for the heart' Ruiz Baier actively supervises a large research group with numerous PhD students and postdoctoral researchers working on diverse aspects of computational mathematics. His group has secured funding from multiple sources including Monash Mathematics, the Australian Research Council, IITB-Monash Doctoral Programme, and international government scholarships. He frequently organizes major conferences and workshops, including the Computational Techniques and Applications Conference (CTAC 2024) and MATRIX workshops on numerical analysis. His research group operates at the intersection of mathematics, computational science, and biomedical engineering, with particular focus on developing computational models for cardiac function and mechanics. The group collaborates with international institutions including the University of Oxford and University of Oslo.

Georgia Ioannouمشاهده پروفایل

پژوهشگر

• Environmental Fluid Dynamics
• Industrial Fluid Dynamics
• Fluid Mechanics
• +۳ مورد دیگر

Georgia Ioannou is a Researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP) within the University of Cambridge. She is affiliated with the Environmental and Industrial Fluid Dynamics research group. Her work focuses on fluid dynamics phenomena, particularly involving yield-stress fluids and their applications in geophysical contexts. Education and Background: While specific educational details are not provided, her affiliation with DAMTP suggests advanced training in applied mathematics or theoretical physics. Research Interests: Georgia’s research explores the dynamics of complex fluids, including impact cratering processes and their implications in environmental and industrial settings. Her work bridges theoretical models with computational methods to analyze fluid behavior under extreme conditions. Publications: Her recent publication (2023) highlights contributions to understanding yield-stress fluid mechanics in geophysical contexts. This reflects a focus on interdisciplinary applications of fluid dynamics. Awards and Grants: No specific awards or grants are mentioned in the provided text. Labs and Teams: She collaborates within the Environmental and Industrial Fluid Dynamics group at DAMTP, contributing to collaborative research initiatives in fluid mechanics and geophysics.

Alexandros ALEXAKISمشاهده پروفایل

استاد

• Hydrodynamics
• Turbulence
• Magnetohydrodynamics
• +۳ مورد دیگر

Professor Alexandros ALEXAKIS is affiliated with the Physics Department at ENS-PSL, where he holds a Professor position at the ENS Physics Laboratory (LPENS). His research focuses on hydrodynamics and turbulence, particularly addressing topics such as turbulent condensates, magnetic reconnection, and large-scale self-organization in fluid systems. He explores fundamental aspects of energy cascades, intermittency, and nonlinear dynamics in both classical and magnetohydrodynamic (MHD) turbulence. His work bridges theoretical frameworks, numerical simulations, and experimental insights to understand complex fluid behaviors in geophysical and astrophysical contexts. Key research interests include the interplay between large-scale flows and turbulent dynamics, the role of helicity in MHD systems, and the statistical properties of turbulent cascades. Recent studies have addressed topics like the spreading mechanisms of turbulence, the impact of fractal forcings on intermittency, and the saturation of turbulent dynamos. His contributions span fluid dynamics, plasma physics, and nonlinear systems, with applications to astrophysical plasmas and geophysical fluid dynamics. Professor ALEXAKIS' research also involves the development of shell models and geometric microcanonical theories to describe turbulent equilibria. He has published extensively on the transition between three-dimensional and quasi-two-dimensional turbulence, the effects of rotation and stratification on energy transfers, and the statistical signatures of fluctuation relations in turbulent systems.

Stephen Ramseyمشاهده پروفایل

دانشیار

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +۶ مورد دیگر

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Nariman Sepehriمشاهده پروفایل

استاد

• Fluid Power Systems
• Robotics and Teleoperation
• Control Systems
• +۴ مورد دیگر

Dr. Nariman Sepehri is a Professor in the Department of Mechanical Engineering at the Price Faculty of Engineering, University of Manitoba, Canada. He has held significant administrative roles including Department Associate Head (Graduate Studies), Associate Dean of Engineering (Undergraduate Programs), and Acting Dean of Engineering. His research focuses on fluid power systems, robotics, and control with applications in rehabilitation and heavy machinery. Education: Post-Doctorate, Electrical & Computer Engineering, University of British Columbia, Canada (Tele-Robotics, Mechatronics) PhD, Mechanical Engineering, University of British Columbia, Canada (Control, Fluid Power Systems, Robotics) MSc, Mechanical Engineering, University of British Columbia, Canada (Computer-Aided Manufacturing Planning) BSc, Mechanical Engineering, Sharif University of Technology, Iran (Machine Design) Dr. Sepehri's research interests span Fluid Power Systems and Technology , Robotics and Teleoperation , Control Systems , Condition Monitoring , and Mechatronics of Rehabilitation Devices . His work integrates advanced control theory with practical applications in hydraulic and pneumatic systems, aiming to improve energy efficiency and reliability in robotics, manufacturing, aerospace, and healthcare. Notably, he has developed innovative rehabilitation devices using game-based interfaces for stroke and cerebral palsy patients. His recent publications (2022-2025) demonstrate a strong trend towards energy-efficient hydraulic systems, fault detection using machine learning, and the development of soft robotic actuators for rehabilitation. Key areas include electro-hydrostatic actuators, pump-controlled circuits, and the application of advanced algorithms for condition monitoring and control. Scientific Awards: Dean of Engineering’s Award for Superior Academic Performance University of Manitoba Rh Award for outstanding contributions to scholarships and research in Applied Sciences Fellow of the Canadian Academy of Engineering (CAE) Fellow of the American Society of Mechanical Engineers (ASME) Fellow of the Canadian Society for Mechanical Engineering (CSME) Dr. Sepehri has supervised over 100 graduate and postdoctoral students, contributing significantly to the field of fluid power and robotics. His research has been supported by major grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) and other sources, enabling the establishment of the Fluid Power Research Laboratory. This lab features state-of-the-art equipment including a human-robot-in-the-loop simulator and hardware-in-the-loop test facilities for condition monitoring. The Fluid Power Research Laboratory at the University of Manitoba, under Dr. Sepehri's leadership, is a hub for innovation in fluid power technology. The lab collaborates internationally with researchers in USA, Brazil, China, Hungary, Romania, Denmark, Sweden and France, and has developed interdisciplinary projects bridging engineering with healthcare applications.

Mark Tachieمشاهده پروفایل

استاد

• Turbulent Shear Flows
• Fluid Dynamics
• Boundary Layer Turbulence
• +۵ مورد دیگر

Dr. Mark Tachie is a Full Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. He holds a B.Sc. from Kwame Nkrumah University of Science and Technology (1993), M.Sc. (1998), and Ph.D. (2001) from the University of Saskatchewan. His research focuses on experimental fluid dynamics, particularly turbulent shear flows, boundary layers, and bluff body hydrodynamics. He operates a state-of-the-art lab with stereoscopic PIV and tomographic PIV systems. Notable awards include the 2010 Rh Award and Governor General's Gold Medal for academic excellence. Research interests include turbulent boundary layers, free surface flows, and flow separation phenomena. His work addresses industrial and environmental challenges like fish migration hydraulics and ice-jam dynamics. He has over 300 peer-reviewed publications and served as Associate Editor of the ASME Journal of Fluid Engineering (2010–2017) and Associate Head of the Mechanical Engineering Department (2011–2019). Key contributions include studies on wake dynamics of submerged cylinders, twin jets, and flow interactions with complex geometries. His lab's advanced PIV systems enable detailed turbulence visualization and analysis. Current projects explore turbulence modification in spillways and ice-covered flows, aiming to improve fish passage and environmental flow management.

Ronald Y. S. Pakمشاهده پروفایل

استاد

• Geotechnical Engineering
• Earthquake Engineering
• Soil Dynamics
• +۶ مورد دیگر

Ronald Y. S. Pak is a Professor in the Department of Geotechnical Engineering & Geomechanics at the University of Colorado. He holds the position of Professor in the School of Civil, Environmental and Architectural Engineering. His research focuses on geotechnical earthquake engineering, dynamic soil-structure interaction, wave propagation, and constitutive modeling in porous media. Education: Ph.D., California Institute of Technology, Pasadena (1985) M.S., California Institute of Technology, Pasadena (1980) B.E., McMaster University, Canada (1979) Research Interests: Dynamic soil-structure interaction and wave propagation in geotechnical systems Rock mechanics under dynamic and cyclic loading conditions Poroelasticity and boundary element methods for multi-layered media Seismic response of structures and canyons to oblique ground motion Experimental and analytical modeling of geotechnical systems Key Contributions: Development of advanced computational frameworks for soil-structure interaction Studies on water weakening mechanisms in saturated rocks Analysis of seismic amplification effects in complex topographies Awards & Affiliations: NSF Presidential Young Investigator (1985) Association of Professional Engineers Gold Medal, Ontario, Canada Editorial Board Member, ASCE Journal of Engineering Mechanics Member, American Society of Civil Engineers Facilities & Location: Office: ECOT 423, University of Colorado Contact: 303-492-8613 | pak@colorado.edu

Christopher Greenمشاهده پروفایل

استادیار

• Applied Mathematics
• Complex Analysis
• Fluid Mechanics
• +۳ مورد دیگر

Dr. Christopher Green is an Assistant Professor of Applied Mathematics at Wichita State University's Fairmount College of Liberal Arts and Sciences, Department of Mathematics, Statistics & Physics. He holds a PhD from Imperial College London (supervised by Prof. Darren Crowdy) and has held postdoctoral positions at the University of California San Diego and Queensland University of Technology. Previously, he served as a Lecturer in Applied Mathematics and ARC DECRA Fellow at Macquarie University in Sydney, Australia. His research focuses on computational and applied complex analysis, particularly in multiply connected domains. Key interests include the Schottky-Klein prime function, ideal fluid mechanics, and free boundary problems. His work bridges classical function theory with modern computational methods. Recent publications emphasize fluid dynamics applications such as Hele-Shaw bubble dynamics, harmonic measure computations, and airfoil potential flow. His research has been published in high-impact journals across applied mathematics and fluid mechanics. Christopher Green has received the ARC DECRA Fellowship, a prestigious early-career award. His advising and grants include contributions to computational methods in complex analysis and fluid dynamics. He maintains active collaborations internationally, leveraging both theoretical and numerical approaches to geometrically complex problems.

Qurat-ul-Ain Azimمشاهده پروفایل

استاد آموزشی

• Fluid Dynamics
• Biomedical Engineering
• Mathematical Modeling
• +۳ مورد دیگر

Qurat-ul-Ain Azim is an Assistant Teaching Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. She holds a PhD in Mathematics from Imperial College London (2016). Her research focuses on fluid dynamics, mathematical modeling in biomedical contexts, porous media applications, and heat transfer in complex fluid systems. Dr. Azim's work spans theoretical and applied studies, including computational models for biomedical systems like breast cancer epidemiology and renal tubule dynamics. She also investigates non-Newtonian fluid flows (e.g., Jeffery, PTT, and Oldroyd fluids) in engineering and biological settings. Her contributions address challenges in porous medium analysis, thin film coatings, and peristaltic pumping mechanisms. Her publications highlight interdisciplinary applications of fluid mechanics, with recent work emphasizing disease modeling and porous media interactions. Collaborative projects involve biomedical engineering, polymer rheology, and thermal analysis of fluid systems. While no specific awards or grants are listed, her extensive publication record reflects continuous engagement with cutting-edge research in applied mathematics and mechanical engineering.