جست‌وجوی استاد و پژوهشگر

Mostafa Mobliمشاهده پروفایل

مدرس

• Numerical Methods
• Fluid Dynamics
• Heat Transfer
• +۳ مورد دیگر

Mostafa Mobli is an Instructor and Lab Director at the Department of Mechanical Engineering within the Molinaroli College of Engineering and Computing at the University of South Carolina. His research focuses on developing numerical solutions for complex thermo-fluid problems involving reactive flows, phase change phenomena at micro/nano scales, and thermal analysis of glow discharge systems. He specializes in computational methods for fluid flow and heat transfer applications relevant to cooling technologies and plasma simulations. Education highlights: Ph.D. in Mechanical Engineering, University of South Carolina (2018) M.S. in Mechanical Engineering, University of South Carolina (2014) B.S. in Mechanical Engineering, University of Tehran (2012) Recent research trends include advanced thermal modeling of boiling processes and glow discharge systems, with publications demonstrating consistent focus on interfacial heat transfer, bubble dynamics, and high-pressure plasma behavior. His computational work provides insights into energy transfer efficiency in industrial applications. As laboratory director, he oversees undergraduate lab development and maintenance while serving on curriculum development committees. He actively advises graduate students including Malhar Joshi and Daniel Monteith on topics ranging from microchannel heat removal to bio-inspired aerodynamic designs.

Monirosadat Sadatiمشاهده پروفایل

استادیار

• Soft Materials Engineering
• Active Matter Systems
• Additive Manufacturing
• +۵ مورد دیگر

Monirosadat (Sanaz) Sadati is an Assistant Professor in the Department of Chemical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. She holds an affiliate faculty position in Biomedical Engineering. Her research focuses on soft materials engineering, with emphasis on active matter systems and additive manufacturing. She received her PhD in Materials Science from ETH Zurich (2012), followed by postdoctoral training at Harvard University (2012–2014) and the University of Chicago (2014–2018). Research Themes: Active Matter: Designing autonomous micromachines for drug delivery and environmental remediation in complex environments. Additive Manufacturing: Developing in-situ characterization techniques for 3D printing of soft materials with tailored properties for tissue engineering and responsive systems. Key Contributions: Her work integrates experimental and computational approaches to study liquid crystal self-assembly, chiral nanostructures, and responsive materials. Recent efforts include blue phase stabilization under confinement and MXene-based hybrid materials for energy applications. Awards: Swiss National Science Foundation Prospective Researchers Award (2012) Swiss National Science Foundation Advanced Postdoc. Mobility Award (2013) Lab Focus: The Sadati Lab explores structure-property relationships in soft matter systems using advanced fabrication techniques. Current projects address challenges in programmable materials, biohybrid constructs, and energy storage solutions.

Ahlam Al-Rawiمشاهده پروفایل

مدرس

• Surface Physics
• Nanoscale Physics
• Molecular Dynamics
• +۳ مورد دیگر

Ahlam Al-Rawi is an Associate Lecturer in the Department of Physics at the University of Central Florida (UCF), affiliated with the College of Sciences. Her work bridges physics and interdisciplinary research, focusing on molecular dynamics simulations, surface physics, and nanoscale systems. She holds a faculty position emphasizing both teaching and research. Research Interests: Dr. Al-Rawi specializes in computational studies of nanostructures, peptide-membrane interactions, and surface dynamics. Her research explores molecular mechanisms in materials science using advanced simulation techniques, including molecular dynamics and Monte Carlo methods. Key themes include nanomaterial behavior, biomolecular interactions, and surface thermal phenomena. Publications Overview: Her work spans over two decades, with contributions to understanding nano-island diffusion on metal surfaces, peptide channel formation in membranes, and vibrational dynamics of nanoparticles. Recent studies (2013) also address educational methodologies in physics pedagogy. Awards & Recognition: No scientific awards or fellowships are explicitly mentioned in her profile. Advising & Grants: While no advisees or grant details are listed, her publications indicate active collaboration in computational physics and biophysical chemistry research. Labs & Teams: Affiliated with the UCF Department of Physics labs focusing on theoretical and computational studies in surface physics and nanomaterials.

Daniel Landerمشاهده پروفایل

مدرس ارشد

• Fluid Mechanics
• Wind Engineering
• Bluff Body Aerodynamics
• +۴ مورد دیگر

Daniel Lander serves as a Senior Lecturer in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI), teaching Water Resources Engineering, Thermal-Fluid Engineering I, Wind Engineering, Fluid Mechanics for Civil Engineers, and Introductory to Engineering Design. Education B.S. in Civil Engineering, University of Sydney, Australia (2009) Research Focus : His work centers on fundamental fluid mechanics in wind engineering, specifically examining Reynolds number effects on laminar-to-turbulent transition in shear layers, vortex shedding from square prisms, and scale effects of free-stream turbulence on peak pressure generation in separating/recirculating flows. Key areas include Bluff Body Aerodynamics , Shear Layer Dynamics , and Vortex Shedding , with applications in structural wind loading and building design. Publication Trends : His 11 publications (2010-2021) reveal a dual trajectory: rigorous fluid dynamics research in premier journals (e.g., Journal of Fluid Mechanics) focusing on bluff body aerodynamics and shear layer phenomena, while recently expanding into engineering ethics through the 2021 co-authored report on social justice and climate action. This evolution reflects his commitment to both technical wind engineering and societal impact. Grants & Leadership NSF-funded proposal: "Model to Full-Scale Validation of Peak Pressure Mechanisms in Buildings that Cause Cladding Failures and Windstorm Damage" (advisory role) Co-organizer of RPI's Engineering the Anthropocene seminar series with Science and Technology Studies Co-founder of the Constellation Prize promoting engineers in social justice, human rights, and environmental protection Affiliations : Active member of RPI's Center for Materials, Devices, and Integrated Systems (CMDIS) and Troy Bike Rescue (board member, mechanic, volunteer).

Xinfang Jinمشاهده پروفایل

دانشیار

• Thermal fluids
• Transport phenomena
• Energy storage and conversion
• +۳ مورد دیگر

Xinfang Jin is an Associate Professor at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas , specializing in Mechanical Engineering. Her research bridges thermal fluids, transport phenomena, and energy storage/conversion technologies. Ph.D., Mechanical Engineering (2014), University of South Carolina M.S., Refrigeration and Cryogenic Engineering (2007), University of Science & Technology, Beijing B.S., Thermal and Dynamic Engineering (2004), University of Science & Technology, Beijing Dr. Jin focuses on multi-physics modeling and microstructure design for systems like solid oxide fuel/electrolysis cells, lithium-ion batteries, and redox batteries. Her work integrates electrochemical characterization and mathematical algorithm development , particularly for electric vehicle battery control. Recent publications highlight advancements in membrane reactor design , crack growth prediction in electrolysis cells, and non-aqueous redox flow battery optimization . Themes include energy efficiency, materials durability, and system integration. 2024 NSF CAREER Award 2019 UMass Lowell recognition for prolific publications Outstanding graduate and mentor awards from Beijing (2007, 2006) Her affiliations include the Mechanical Engineering Faculty and Jonsson School at UT Dallas, with research collaborations spanning electrochemical systems and renewable energy integration.

Eduardo Mirandaمشاهده پروفایل

استاد

• Computer Music
• Artificial Intelligence
• Brain-Computer Music Interface
• +۵ مورد دیگر

Professor Eduardo Miranda is a visionary academic and composer specializing in computer music, AI, and neuroscience. As Head of the Interdisciplinary Centre for Computer Music Research (ICCMR) at the University of Plymouth, he pioneers innovations like brain-computer music interfaces (BCMI) and quantum computing applications in music. His work bridges art and science, focusing on assistive technologies for people with disabilities and dementia through projects like RadioMe. He holds a PhD from the University of Edinburgh (1995), specializing in AI for music, and has supervised over 20 doctoral students globally. His research spans biocomputing, quantum music systems, and neurotechnology, with grants exceeding £5M. Notable collaborations include work with the BBC Concert Orchestra and Jarvis Cocker, and his opera Lampedusa uses particle physics data from the Large Hadron Collider. Research Interests: - AI and Machine Learning in Music - Quantum Computing for Creativity - Biocomputing and Living Organisms as Processors - Music Neurotechnology for Health - Ethical AI in Creative Industries - Historical Computing (e.g., Charles Babbage’s legacy) - Music-Based Palliative Care Projects & Impact: - RadioMe : AI-driven radio personalization for dementia patients. - QuTune : Quantum computing tools for musicians. - Music and the Brain research group at the Brain Research & Imaging Centre (BRIC). - Development of bio-inspired algorithms for composition and performance. Teaching: Courses in AI, quantum computing, unconventional computing, and music technology. Advising & Grants: Supervised 22+ PhD completions. Secured £5M+ in research funding. Doctoral alumni work globally in academia (e.g., McGill University) and industry (e.g., Arm microprocessors). Recognition: Featured in Forbes for quantum music innovation. Keynote speaker at Royal Institution and EG Conference. First classical composer to perform in the Metaverse.

• Electronics and Sensors
• Materials Engineering
• Acoustics and Wave Mechanics
• +۸ مورد دیگر

Tanju Yildirim is a Lecturer in the Faculty of Science and Engineering at Southern Cross University (SCU), specializing in the development of innovative solutions for scientific problems requiring sensors, actuators, materials synthesis, and instrumentation. His expertise spans multidisciplinary research areas including MEMS-based agricultural sensors, 2D materials physics, and acoustic olfactory systems. He maintains international collaborations across academia, government, and industry. Education Doctor of Engineering (2015–2017), University of Wollongong Bachelor of Engineering (2011–2014), University of Wollongong Research Interests Design and application of advanced sensors (MEMS, acoustic, gas/odor) Nonlinear dynamics and energy harvesting systems 2D materials physics (optoelectronics, strain engineering) Biomedical and environmental sensing technologies His recent work focuses on acoustic-based gas sensing, strain-modulated optoelectronic properties of 2D materials, and bio-inspired control algorithms. Tanju actively engages in teaching engineering skills aligned with real-world industry needs. Key Collaborations Partner universities in Japan, China, and Australia Government institutions and private firms for applied R&D projects

Xing Liuمشاهده پروفایل

استادیار

• Mechanical Engineering
• Materials Science
• Machine Learning Applications in Material Testing
• +۳ مورد دیگر

Xing Liu is an Assistant Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT), focusing on interdisciplinary research at the intersection of materials science, mechanical engineering, and machine learning. Education: Ph.D. in Materials Science from Brown University (2021) B.E. in Mechanical Engineering from Tsinghua University (2014) Their research develops innovative frameworks combining computational modeling, experimental validation, and artificial intelligence to address critical challenges in material behavior and mechanical reliability. Current work spans radiation-resistant composites, perovskite solar cells, and multiscale analysis of material interfaces. Recent publications emphasize fracture mechanics, with applications to advanced materials like metal-halide perovskites and amorphous electrolytes. The work integrates mechanics-informed machine learning, radiation response modeling, and experimental nanomechanical testing.

Franco Concliمشاهده پروفایل

دانشیار

• CFD Modeling
• Tribology
• Gearbox Efficiency
• +۳ مورد دیگر

Franco Concli is an Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano. He received his M.Sc. in Mechanical Engineering from Politecnico di Milano in 2009 and his Ph.D. in 2013, with research focused on gearbox efficiency and CFD modeling. His expertise includes computational fluid dynamics (CFD), finite element analysis (FEA), tribology, and additive manufacturing. He has held research positions at TU Munich and Politecnico di Milano and currently leads research on gearbox lubrication, bearing performance, and material characterization. Education: M.Sc. (2009), Ph.D. (2013) from Politecnico di Milano Research Focus: Gearbox efficiency, CFD simulations, tribology, additive manufacturing Key Roles: Tenured faculty, Material Characterization Lab affiliation Concli's research emphasizes reducing energy losses in mechanical systems through advanced modeling and simulation. He has developed innovative CFD tools to predict power losses in gearboxes and bearings, validated experimentally. His work on tapered roller bearings and oil-lubrication dynamics has earned prestigious awards, including the 2025 STLE Hunt Memorial Award and the 2023 Applied Sciences Early Career Award. Recent articles explore topics like hydrostatic bearing uncertainty analysis, oil-suspension phenomena in gears, and fracture locus determination for Cor-Ten steel. His contributions span over 28 peer-reviewed publications and a patented three-stage gearbox design with Lorenzo Maccioni.

Shaghayegh (Rose) Gomarمشاهده پروفایل

استادیار

• Bio-inspired neural networks
• Neuromorphic engineering
• Digital systems design
• +۳ مورد دیگر

Shaghayegh (Rose) Gomar is an Assistant Professor in the Department of Electrical and Computer Engineering at Carleton University. She holds a P.Eng. license and a Ph.D. from the University of Windsor. Previously, she served as faculty at Concordia University (2020–2022) and worked in telecommunication R&D as a digital designer. She chaired the IEEE Women in Engineering chapter in Windsor. Education: Ph.D. in Electrical and Computer Engineering, University of Windsor Her research focuses on bio-inspired neural networks, neuromorphic engineering, and embedded systems design. She actively explores FPGA applications and digital system optimization.

• Geotechnical Engineering
• Soil Stabilization
• Materials Science
• +۴ مورد دیگر

Dr. Arya Assadi Assadi Langroudi is an Associate Professor in the Department of Engineering at the University of East London, affiliated with the Architecture, Computing & Engineering research institute. His research focuses on geotechnical engineering, sustainable materials, and construction management, with a particular emphasis on soil stabilization, nanotechnology applications, and environmental adaptation of construction materials. He has contributed to advancements in nature-inspired solutions for ground engineering (NiSE) and the optimization of materials for small and medium enterprises (MSMEs) in the construction sector. His work integrates fractal geometry principles for sustainable design and explores the use of colloidal silica, nanobiosilica, and recycled materials to enhance soil properties. Notable projects include studies on pore-pressure effects in rocking foundations, liquefaction resistance of reinforced soils, and the formation of loess in UK environments. Dr. Langroudi's interdisciplinary approach bridges civil engineering, environmental science, and materials science to address challenges in sustainable infrastructure development. Research Interests : Geotechnical engineering, soil stabilization, biomimetic materials, construction supply chains, sustainable infrastructure, nanotechnology applications in geomechanics. Recent Trends in Articles : His recent work emphasizes sustainable material innovation, with a focus on colloidal nano-silica hydrosols for sand stabilization, fiber-reinforced soils for liquefaction resistance, and conceptual frameworks for MSME material procurement. He has also explored the environmental significance of loess deposits and the probabilistic modeling of ground properties for urban excavation projects.

Bhisham Sharmaمشاهده پروفایل

دانشیار

• Acoustic Metamaterials
• Additive Manufacturing
• Elastic Wave Propagation
• +۳ مورد دیگر

Bhisham Sharma is Associate Professor of Mechanical and Aerospace Engineering at Michigan Technological University, specializing in structural acoustics and advanced materials. Holding a Ph.D. in Aeronautics and Astronautics from Purdue University, he leads research at the intersection of structural mechanics, dynamics, and acoustics to develop safer, quieter engineering structures. Research programs focus on: Acoustic metamaterials and phononic crystals Additive manufacturing of functional materials Wave propagation in complex media Multiphysics modeling of material systems His publications demonstrate consistent innovation in acoustic material design, particularly through additive manufacturing techniques. Recent work explores triply periodic minimal surface structures, sustainable nanocellulose aerogels, and bio-inspired material systems for noise control applications. Current research translates fundamental discoveries into solutions for aerospace, automotive, and energy industries.

Neda Yaghoobianمشاهده پروفایل

دانشیار

• Environmental Fluid Dynamics
• Boundary Layer Meteorology
• Computational Fluid Dynamics
• +۵ مورد دیگر

Neda Yaghoobian is an Associate Professor in the Department of Mechanical Engineering at Florida A&M University-Florida State University (FAMU-FSU), associated with the Geophysical Fluid Dynamics Institute. She holds a Ph.D. from the University of California, San Diego, and has held postdoctoral positions at the University of Maryland and Johns Hopkins University. Her research focuses on environmental thermo-fluid dynamics, including land-atmosphere interactions, boundary layer meteorology, urban microclimates, fire dynamics, and energy efficiency. She leads the Environmental Thermo-Fluid Dynamics (ETFD) Lab, exploring multiscale phenomena such as firebrand transport, urban heat island mitigation, and natural structures' thermal functions. Dr. Yaghoobian teaches advanced courses in turbulent flow, aerodynamics, and numerical methods. She is an NSF CAREER awardee and actively mentors graduate and undergraduate students. Her work integrates computational fluid dynamics (CFD), large-eddy simulations (LES), and energy balance models to address challenges in wildfire safety, sustainable urban design, and bio-inspired engineering. She collaborates on projects like the 'Complex-environment Temperature and Moisture Predictor (CeTMP)' and investigates thermal functions of termite mounds. Key research areas include: Urban microclimatology and heat island mitigation strategies Firebrand transport dynamics in wildland-urban interfaces Diurnal effects on building energy use and urban pollution Thermal modeling of complex fuels and fire behavior prediction Bioinspired design of natural structures like termite mounds She has supervised numerous students and contributed to over 50 peer-reviewed publications. Her lab actively recruits graduate students with backgrounds in CFD and fluid dynamics.

Leslie Shorمشاهده پروفایل

استاد

• Microbial Systems Engineering
• Environmental Biotechnology
• Microfluidics & BioMEMS
• +۵ مورد دیگر

Leslie Shor is a Professor in the College of Engineering at the University of Connecticut, where she also serves as Vice Provost for Graduate Education and Dean of the Graduate School. Her research focuses on microbial systems engineering, environmental biotechnology, and microfluidics, with applications to sustainable agriculture, environmental remediation, and medical diagnostics. Current research projects include bio-inspired microplastic removal technologies using mussels and microbes, advanced optical methods for soil ecosystem analysis, and protist-mediated delivery systems for beneficial agricultural bacteria. Her work bridges microbial ecology with engineering innovation. Microbial Systems Engineering Environmental Biotechnology Microfluidics & BioMEMS Agricultural Biotechnology The Engineered Microhabitats research group, which she leads, investigates microbial interactions in complex environments. Recent publications highlight interdisciplinary applications of microfluidics, enzymatic processes, and optogenetic tools across environmental and biomedical domains. 2023 Finalist, Connecticut Women of Innovation 2022-2026 Centennial Term Professorship 2014-2017 DuPont Young Professor 2011 National Academy of Engineering Frontiers of Engineering Education 1996-1999 NIH Biotechnology Training Program Fellow Leslie Shor's research group trains students in microbial transport mechanisms, biofilm dynamics, and sustainable technology development. She has held leadership roles including Division Chair of the Environmental Division at AIChE and Associate Dean for Research & Graduate Education (2009-2024). Her lab collaborates on projects involving soil protist applications, optogenetic biofilm control, and microplastic remediation. Current work emphasizes scalable solutions for agricultural and environmental challenges.

Alexandros Giagkosمشاهده پروفایل

مدرس

• Bio-Inspired Computer Networks
• Network-Aware Multi-Robot Systems
• Developmental Robotics

Dr. Alexandros Giagkos is a Lecturer in Applied AI & Robotics at Aston University's College of Engineering and Physical Sciences. He is affiliated with the School of Computer Science and Digital Technologies and the Aston Centre for Artificial Intelligence Research and Application. Research interests: His work focuses on bio-inspired network systems, multi-robot coordination algorithms, and developmental approaches to robotic learning. Applications include UAV networks and humanoid robot cognition. Awards: Recognized with multiple honors including Distinguished Poster Award (ICDL-EPIROB 2016) and Best Paper Award (TAROS 2015).