جست‌وجوی استاد و پژوهشگر

Abu Bakar Dawoodمشاهده پروفایل

پژوهشگر

• Soft Robotics
• Soft Sensors
• Surgical Robotics
• +۵ مورد دیگر

Dr Abu Bakar Dawood is a Postdoctoral Research Associate at the Centre for Advanced Robotics (ARQ) within the School of Engineering and Materials Science at Queen Mary University of London. He works on UKRI and EU-funded projects like PALPABLE , focusing on soft robotic systems, tactile sensor skins, and their applications in minimally invasive surgery. PhD in Mechanical Engineering (Robotics), Queen Mary University of London (2023) MSc in Design and Manufacturing Engineering, National University of Sciences and Technology (NUST), Pakistan BE in Mechatronics Engineering, NUST Pakistan His research integrates soft robotics with tactile sensing to develop medical devices for surgical applications. Key innovations include capacitive and optical tomography-based sensor skins, dynamic force sensors for tissue palpation, and steerable eversion robots with pneumatic actuators. His work bridges robotics , materials science , and biomedical engineering . The article titles reflect a strong focus on soft robotics , sensor design , and clinical applications . From 2017 to 2025, his contributions span manufacturing techniques, tactile sensing tools, and real-time pressure estimation systems, emphasizing minimally invasive surgery and soft sensor modeling . His affiliations include the Centre for Advanced Robotics (ARQ) at Queen Mary University of London, where he contributes to advanced robotics research in the Engineering G16 lab at Mile End.

Cedric D'Melloمشاهده پروفایل

استاد

• Structural Engineering
• Composite Structures
• Dynamics of Structures
• +۵ مورد دیگر

Professor Cedric D'Mello is a distinguished Professor of Structural Engineering at City, University of London, where he has been serving since 2012. He previously held positions as Senior Lecturer (1999-2012), Lecturer/Teaching Fellow (1987-1999), and various leadership roles including Associate Dean for Education (2009-2014), Associate Dean for Learning & Teaching (2007-2009), and Assistant Dean for Civil Engineering Programmes (2002-2007). He was also an elected member of University Senate until 2013. Professor D'Mello received his BSc (Hons) in Structural Engineering (1976) and DPhil in Structural Engineering (1981), both from the University of Sussex. His academic journey began as a Research Assistant at Sussex (1976-1980), followed by positions as Lecturer in Structural Engineering (1980-1981), Postdoctoral Research Assistant at Ocean Engineering Research Centre (1981-1986), and Associate Consultant at OTEC (UK) Ltd (1988-1990). His research primarily focuses on very large scale testing of structures, with particular emphasis on composite structures and dynamics of structures. His work spans from grouted connections in offshore structures to long span composite floors in buildings, with current research centered on ultra slim floor beams where the floor slab is incorporated within the beam depth. His recent work has expanded into steel structural fire engineering, particularly thermo-mechanical damage modeling for predicting steel deterioration under fire conditions. Professor D'Mello's extensive publication record demonstrates a clear research trajectory from offshore structures to composite floor systems, with increasing focus on structural fire engineering in recent years. His work shows strong industry collaboration, with many projects supported by UK/European funding bodies and industry partners. His research has practical applications in building cost reduction and sustainable construction through innovative structural designs. Professor D'Mello has made significant contributions to structural engineering through his books on jack-up platforms and dynamics of structural systems, along with numerous journal articles and conference papers. He has also filed a patent on structural beam design, demonstrating the practical application of his research. As an academic leader and educator, Professor D'Mello has supervised PhD students including Eric Cheilletz and Sam Tariverdi, and has contributed to engineering education through his leadership roles in curriculum development and educational strategy at City University London.

Silke Glasمشاهده پروفایل

پژوهشگر ارشد

• Reduced basis method
• Variational inequalities
• Wave equations
• +۳ مورد دیگر

Silke Glas is a Postdoctoral Researcher at the Institute of Numerical Mathematics, Ulm University, a position she has held since July 2018. Previously, she served as a Research Assistant at the same institute from April 2016 to July 2018 and at the Chair of Energy Trading and Finance, University of Duisburg-Essen (2012-2016), funded by the German Research Foundation's Priority Programme 1324. Her research visits include the Institut Henri-Poincaré in Paris and SISSA in Trieste. Her educational background features: Diploma in Mathematics and Economics from Ulm University (2006-2012), thesis on "Reduced Basis Method for Variational Inequalities" Master of Mathematics from the University of South Florida (2009-2010) Dr. Glas specializes in model reduction for nonlinear problems, with core expertise in reduced basis methods applied to variational inequalities, wave equations, Hamilton-Jacobi-Bellman equations, and space-time formulations. Her work bridges theoretical numerical analysis with practical applications in energy markets, particularly intraday electricity trading. She has developed novel approaches for noncoercive and parabolic systems, addressing challenges in error estimation and computational efficiency. Her publication trajectory reveals evolving sophistication in handling time-dependent nonlinear systems, with increasing emphasis on financial applications. Early work focused on theoretical foundations of variational inequalities, while recent publications integrate model reduction with optimal control for energy trading problems, demonstrating cross-disciplinary impact. Scientific recognition includes: No formal awards documented in source material Research funding has been secured through the German Research Foundation's Priority Programme 1324. No student advising activities are mentioned, though her collaborative work involves prominent researchers like K. Urban and Anthony T. Patera. Her primary research environment at Ulm University's Institute of Numerical Mathematics supports her focus on computational mathematics and real-world applications.

Chris J Buddمشاهده پروفایل

استاد

• Nonlinear Mathematics
• Industrial Mathematics
• Numerical Analysis
• +۷ مورد دیگر

Professor Chris J Budd OBE is a distinguished Professor of Applied Mathematics at the University of Bath's Department of Mathematical Sciences, where he serves as Director of Knowledge Exchange for the Bath Institute for Mathematical Innovation (IMI). He is also Professor of Mathematics at the Royal Institution of Great Britain and a former Gresham Professor of Geometry. His leadership extends to directing the Centre for Nonlinear Mechanics and serving as Super Champion of the KE Hub. His educational background includes a gap year with Marconi that profoundly shaped his career, followed by undergraduate studies at Cambridge and a DPhil at Oxford. This industry experience during his formative years established his lifelong commitment to industrial mathematics and knowledge exchange. Budd's research focuses on nonlinear mathematical problems with industrial applications, particularly adaptive moving mesh methods for meteorology and climate modeling, data assimilation, non-smooth dynamical systems, and the mathematics of machine learning. He approaches linear problems as 'for cissies,' preferring the challenges of nonlinear systems that better represent real-world phenomena. His work bridges theoretical mathematics with practical applications across meteorology, environmental science, and engineering. His recent publications reveal a strong trend toward integrating machine learning with traditional numerical methods, particularly in climate modeling and solving partial differential equations. This includes Fourier Neural Operators, adaptive mesh methods enhanced by graph neural networks, and mathematical frameworks for understanding climate tipping points through non-smooth dynamics. OBE for services to mathematics National Teaching Fellowship (NTF) Knowledge Transfer Award for work with the Met Office Fellow of the Institute of Mathematics and its Applications (FIMA) Chartered Mathematician (C Math) British Science Association award for best science festival (2009) As principal investigator of the £3.5M EPSRC Programme Grant 'Maths4DL' on the Mathematics of Deep Learning, Budd leads a major collaborative effort between Bath, Cambridge, and UCL. He actively supervises numerous PhD students across diverse projects including climate modeling, machine learning applications, and industrial mathematics problems. His commitment to knowledge exchange is exemplified through V-KEMS (Virtual Forum for Knowledge Exchange in the Mathematical Sciences), which he co-founded to address challenges like the COVID-19 pandemic through mathematical approaches. Budd directs the Centre for Nonlinear Mechanics at Bath, fostering interdisciplinary research through mathematical modeling of complex systems. He also leads the Bath Institute for Mathematical Innovation's knowledge exchange activities, connecting academic mathematics with industrial and societal challenges. His work with V-KEMS has proven particularly effective during the pandemic, mobilizing teams of mathematicians to address urgent real-world problems.

Birsen Sirkeciمشاهده پروفایل

استاد

• Wireless Communications
• Sensor Networks
• Statistical Signal Processing
• +۱ مورد دیگر

Birsen Sirkeci is a Professor in the Department of Electrical Engineering at San Jose State University (SJSU), San Jose, CA. She holds a PhD from Cornell University (2006), an MSc from Northeastern University (2000), and a BSc from Middle East Technical University, Turkey (1998). Prior to joining SJSU, she was a postdoctoral researcher at UC Berkeley. Her educational background includes: PhD in Electrical Engineering, Cornell University, Ithaca, NY (2006) MSc in Electrical Engineering, Northeastern University, Boston, MA (2000) BSc in Electrical Engineering, Middle East Technical University, Ankara, Turkey (1998) Professor Sirkeci's research spans wireless communications , sensor networks , statistical signal processing , and machine learning . Her work focuses on developing advanced algorithms for cognitive radio networks, spectrum sensing, and cooperative communication systems. She has pioneered applications of neural networks in materials science (e.g., stress prediction in porous ceramics) and medical imaging (e.g., colon cancer detection), demonstrating exceptional interdisciplinary innovation. Analysis of her 2013-2021 publications reveals a dominant trend at the intersection of wireless communications and deep learning. Key themes include spectrum sensing via convolutional neural networks, cooperative broadcast strategies in dense networks, and physics-informed machine learning for materials engineering. Her work consistently addresses real-world constraints like channel estimation errors and hardware limitations using USRP SDRs. Her scientific contributions have been recognized with: Best Paper Awards at MILCOM 2005, WCECS 2010, and ICETEC 2013 IEEE ICME Outstanding Organizing Committee Member (2013) Applied Materials Teaching Award at SJSU (2014) As an advisor, she co-led the SJSU Spartans team to the DARPA Spectrum Challenge finals in 2013. While specific grants aren't detailed in source material, her award-winning publications and competition success indicate sustained research funding. She actively mentors students through capstone projects and competitive teams, emphasizing hands-on implementation. Professor Sirkeci leads wireless communications research within SJSU's Electrical Engineering department, with strong ties to industry through awards like Applied Materials. Her DARPA Spectrum Challenge involvement underscores leadership in translating theoretical research into competitive, real-world systems.

Sorin Mitranمشاهده پروفایل

استاد

• Computational simulation of multiscale, multiphysics systems
• Data-driven constitutive relations for hyperelastic materials
• Nonlinear mode reduction
• +۴ مورد دیگر

Sorin Mitran is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill. His research focuses on computational simulation of multiscale and multiphysics systems, data-driven constitutive relations for hyperelastic materials, and information geometry for reduced stochastic models. PhD in Aerospace Engineering from Politehnica University Bucharest (1995) Professional background includes fellowships at University of Tokyo (1993), Karlsruhe Institute of Technology (1998-1999), and University of Washington (1999-2002) His research develops numerical tools to predict macro-scale behavior from micro-scale interactions, such as plastic deformation of metals from lattice defect dynamics, microtubule mechanics from molecular dynamics, and protein folding from atomic-level simulations. Mathematical approaches include adaptive computation, machine learning for constitutive law prediction, and information geometry for stochastic process analysis. Recent publications (2023-2018) span computational biology, multiscale fluid dynamics, and medical applications of continuum mechanics. Articles frequently explore data-driven modeling, wave propagation in biological systems, and GPU-accelerated numerical methods like Lattice Boltzmann and Lattice Fokker-Planck formulations.

Benoit Delhayeمشاهده پروفایل

استاد

• Tactile Neuroscience
• Biomechanics of Skin Deformation
• Haptics
• +۳ مورد دیگر

Benoit Delhaye is a Professor at Universite catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and Mathematical Engineering Center (INMA) . His research bridges tactile neuroscience and biomechanics to understand how tactile receptors encode object information and how the brain uses these signals for dexterous manipulation. He also contributes to Institute Of NeuroScience (IoNS) . Email: benoit.delhaye@uclouvain.be Email: delhayeben@gmail.com His research focuses on three main areas: Tactile Signal Processing : Analyzing skin deformation patterns during object interactions using advanced imaging and computational models Neuroprosthetic Applications : Developing biomimetic afferent response simulations for bionic hand feedback systems Haptic Perception : Investigating how tactile receptors encode friction, slip, and edge orientation The articles demonstrate his contributions to understanding: tactile mechanics (6 papers), grip force adaptation (4 papers), skin strain patterns (5 papers), and neuroprosthetic simulations (3 papers). Key 2024 publications include collagen-induced anisotropy analysis and 3D fingertip deformation modeling. Benoit's technical innovations include: TouchSim - A MATLAB package for simulating tactile afferent responses Open-source instrumented objects for manipulation studies Advanced skin deformation measurement systems His collaborative network spans institutions in Belgium, the USA, and Germany, working with researchers in Philippe Lefevre 's and Jean-Louis Thonnard 's labs. Current teaching includes LEPL1506 Project and LGBIO2110 Clinical Engineering courses.

Anh-Vu Phanمشاهده پروفایل

استاد

• Boundary Element Methods
• Computational Mechanics
• Quantum Mechanics
• +۵ مورد دیگر

Dr. Anh-Vu Phan is a Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of South Alabama's College of Engineering. His work bridges computational mechanics, quantum physics, and biomechanics through advanced numerical methods. He maintains an active research program with numerous publications spanning several decades and teaches a wide range of mechanical engineering courses from undergraduate to graduate levels. Dr. Phan earned his B.S. in Mechanical Engineering from Ho Chi Minh City University of Technology, followed by an M.S. in Solid Mechanics from Grenoble Institute of Technology, and completed his Ph.D. in Mechanical Engineering from Ecole Polytechnique, University of Montreal. His academic journey has positioned him at the intersection of theoretical mechanics and practical engineering applications. Dr. Phan's research focuses on boundary element methods, particularly the Symmetric-Galerkin Boundary Element Method (SGBEM), applied to diverse problems including quantum mechanics (confined electron states in quantum structures), fracture mechanics (dynamic crack analysis), and biomechanics (cAMP signaling). His work demonstrates a remarkable ability to apply computational techniques across disciplinary boundaries, from nanoscale quantum phenomena to cellular-level biological processes. He has developed sophisticated numerical frameworks for analyzing energy eigenvalues, T-stresses, and fracture propagation in various materials systems. Analysis of his recent publications (2015-2025) reveals three primary research thrusts: continued development of boundary integral methods for quantum mechanical problems (particularly confined electron states in quantum dots), application of computational techniques to biological signaling processes (especially cAMP pathways), and ongoing work in dynamic fracture mechanics with emphasis on crack interactions and wave propagation. His work shows increasing interdisciplinary collaboration, particularly with biologists and systems engineers in recent years. Dr. Phan teaches a comprehensive range of mechanical engineering courses including Dynamics, Mechanics of Materials, Aerodynamics, Aircraft Structural Analysis, Thermodynamics, Finite Element Analysis, Vibration Analysis, and various graduate-level specialized topics. His teaching portfolio reflects both foundational mechanical engineering principles and advanced computational techniques, aligning closely with his research expertise in numerical methods and computational mechanics. Dr. Phan's research laboratory appears to focus on computational mechanics, with particular emphasis on boundary element methods and their applications across multiple domains. His collaborations with researchers in biomedical fields suggest interdisciplinary work at the intersection of mechanical engineering and cellular biology, particularly in modeling intracellular signaling processes. His recent work on quantum dot solar cells indicates expanding research into renewable energy applications.

• Structural engineering
• Steel structures
• Composite structures
• +۴ مورد دیگر

Mina Mortazavi is a Senior Lecturer at the University of Technology Sydney's School of Civil and Environmental Engineering with over 15 years of experience specializing in structural engineering. Her academic journey includes a PhD in Structural Engineering from Western Sydney University, an MEng in Structural Engineering from Amirkabir University of Technology in Tehran, and a BSc in Civil Engineering from Shahid Beheshti University in Tehran. Her research interests focus on three interconnected fields: cold-formed steel profile assessment and section optimization, modularization in construction, and prefabrication of seismic mounting systems for building services. Mortazavi has developed expertise in applying machine learning techniques to structural engineering problems, particularly in thermal buckling analysis, seismic performance evaluation, and concrete material behavior prediction. Her publication record demonstrates consistent output in high-impact journals such as Thin-Walled Structures , Automation in Construction , and Journal of Building Engineering . Recent research shows increasing integration of artificial intelligence methods with traditional structural engineering problems, particularly in thermal analysis, seismic performance evaluation, and material behavior prediction. Research Innovation Connection grant recipient Multiple contract research projects with industry partners Active PhD and Masters student supervision Mortazavi's teaching portfolio includes courses in Steel and Composite Design, Steel and Timber Design, Mechanics of Solids, and Application of Timber in Engineering Structures. Her industry collaborations demonstrate strong practical application of research findings to real-world structural engineering challenges.

Robert Eberleinمشاهده پروفایل

مدرس ارشد

• Mechanics of polymers and lightweight structures
• Finite element analysis
• Biomechanics
• +۴ مورد دیگر

Prof. Dr. Robert Eberlein is a Senior Lecturer in Mechanics at the ZHAW School of Engineering , specifically working at the Institute of Mechanical Systems (IMES) . He has served as Director of IMES since 08/2017, following previous roles as Senior Lecturer at IMES (11/2013-07/2017) and industry leadership positions including CTO of Angst+Pfister Group (06/2006-10/2013). Dr. Eberlein holds a Dr.-Ing. (PhD) in Numerical Mechanics from Darmstadt University of Technology (1992-1997) and completed an exchange program at UC Berkeley (1991-1992). Education: Dr.-Ing. (PhD) in Numerical Mechanics, Darmstadt University of Technology (07/1992-07/1997); Exchange Student at University of California, Berkeley (07/1991-06/1992) Professional: Director of Institute IMES (08/2017-today); Senior Lecturer at IMES (11/2013-07/2017); CTO & Group Executive Committee, Angst+Pfister Group (06/2006-10/2013); Group Leader in Biomechanics, Sulzer Innotec (07/1998-04/2006) Dr. Eberlein focuses on experimental and numerical modeling of solid polymers and lightweight structures. His research spans material modeling, finite element analysis, and fatigue life prediction for materials like POM gears, TPU and vulcanizates. Recent work explores digital twin development for rubber spring elements and machine learning enhanced process simulation in additive manufacturing. His projects include Lifetime prediction of POM gears , Measurement of human soft tissue properties , and Optimization of plastic gear geometry . Scientific achievements include: Professor ZFH (Fachhochschulrat) - 12/2019 Dr.-Ing. (PhD) summa cum laude - Darmstadt University of Technology - 07/1997 Graduate Assistantship - Darmstadt University of Technology - 01/1993 His work appears in journals like International Journal of Non-Linear Mechanics , Rubber Chemistry and Technology , and Journal of Loss Prevention in the Process Industries . Publications since 2015 show a consistent focus on material characterization , finite element modeling , and fatigue analysis with applications in industrial components and biomedical systems.

• Gas turbine engineering
• Jet engine seals
• Thermal management
• +۴ مورد دیگر

Professor David Gillespie is an Associate Professor of Engineering Science at the University of Oxford and Deputy Head of Department for New Buildings. He is also a Fellow of St Catherine's College and affiliated with the Oxford Thermofluids Institute. His research focuses on critical aspects of gas turbine and jet engine technology, particularly in thermal management and fluid dynamics applications. Professor Gillespie attended Jesus College Oxford as an undergraduate and obtained his doctorate in 1996. He has been the Rolls-Royce Fellow in Engineering Science since 2003, demonstrating a long-standing relationship with industry in advancing gas turbine technology. His primary research interests include: Development of advanced seals for jet engines and industrial gas turbines Tip clearance control mechanisms for gas turbines using thermal activation systems Heat exchanger design for intercoolers and recuperators in jet engines Engine-realistic internal cooling systems, including dendritic cooling and ribbed passages Effects of volcanic ash ingestion on engine components Advanced instrumentation methods using thermochromic liquid crystals and IR cameras Professor Gillespie's recent publication record shows a strong focus on ice crystal icing phenomena in turbomachinery, particle deposition in gas turbines, and advanced thermal management techniques. His work combines experimental, analytical, and computational approaches to address critical challenges in gas turbine operation under extreme conditions. A significant portion of his recent work involves the development of predictive models for ice accretion and particle deposition, which have important safety implications for aircraft engines. As a key member of the Oxford Thermofluids Institute, Professor Gillespie leads research that bridges fundamental fluid dynamics with practical engineering applications in the aerospace industry.

Dhirendra S. Kattiمشاهده پروفایل

استاد

• Biomaterials
• Controlled Drug Delivery Systems
• Tissue Engineering
• +۲ مورد دیگر

Dhirendra S. Katti is a Professor in the Department of Biological Sciences & Bioengineering at the Indian Institute of Technology Kanpur. He has established himself as a leading researcher in biomaterials science with significant contributions to drug delivery systems and tissue engineering applications. Education: PhD, University Of Mumbai, 1999 M.Sc. (Tech.), University of Mumbai, 1993 B.Sc., University of Pune, 1990 Professor Katti's research spans biomaterials science, controlled drug delivery systems, tissue engineering, and nanobiotechnology. His work focuses on developing nanofibrous materials that mimic the extracellular matrix, creating improved in vitro tumor models, and designing drug delivery systems that leverage reactive oxygen species for targeted cancer therapy. His interdisciplinary approach bridges materials science, biology, and medicine to address critical healthcare challenges, with particular emphasis on cancer treatment and tissue regeneration applications. Analysis of Professor Katti's recent publications reveals a strong focus on poly(lactide-co-glycolide) (PLGA) systems and surface modification techniques. His research consistently targets applications in cancer therapy and tissue regeneration, demonstrating expertise in three-dimensional scaffold design and mathematical modeling of biomaterial properties. The publications show an integrated approach that combines materials science with biological understanding to develop innovative medical solutions. Scientific Awards and Recognitions: Member of Expert Advisory Group (Subcommittee of DST – PAC on Instrumentation) for Medical and Health Care Instrumentation (2009-2012) Associate Editor – International Journal of Nanomedicine, Dove Press, UK (2009) 'P.K. Kelkar (batch of 1970) Research Fellowship' awarded by IIT-Kanpur (2009) Editorial board member - Journal of Biomedical Nanotechnology, American Scientific Publishers, USA (2007) Editorial board member - Trends in Biomaterials and Artificial Organs, Society for Biomaterials and Artificial Organs, India (2007) Professor Katti has established himself as a respected researcher with significant editorial responsibilities and advisory roles. His research has attracted funding that has supported numerous graduate students and postdoctoral researchers, though specific grant details aren't provided in the available information. His contributions to the field are evident through his publications in high-impact journals and his service to the scientific community.

Mohit Lawمشاهده پروفایل

دانشیار

• Machining dynamics
• Machine tool design and analysis
• Dynamic substructuring
• +۶ مورد دیگر

Mohit Law is an Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur. His research focuses on machining dynamics, machine tool design and analysis, vibration control, and manufacturing systems. With expertise spanning both theoretical modeling and practical applications, Dr. Law has established himself as a notable researcher in precision manufacturing technologies. PhD (2013), University of British Columbia, Canada. Thesis: "Position-dependent dynamics and stability of machine tools." MSc, Michigan Technological University, USA BE, Pune University, India Dr. Law's research spans multiple areas in manufacturing and mechanical engineering, with a strong focus on machining dynamics and machine tool performance. His work addresses critical challenges in precision manufacturing, vibration control, and advanced machining strategies. He has made significant contributions to understanding position-dependent dynamics in machine tools and developing innovative solutions for vibration damping and isolation. His research integrates analytical methods with experimental validation to improve machine tool performance and manufacturing efficiency. Dr. Law's publication record demonstrates a consistent focus on machine tool dynamics, particularly position-dependent behavior. His work bridges theoretical modeling with practical applications in manufacturing, with emphasis on substructuring techniques, vibration isolation, and stability analysis. He has developed novel approaches that have advanced the field of precision manufacturing, particularly in high-performance machining strategies. International Partial Tuition Scholarship, The University of British Columbia, 2009-2013 Graduate Scholar, Sustainable Futures Institute, Michigan Technological University, 2007-2008 Dr. Law has extensive industry experience as a Machine Tool Design Engineer at TAL Manufacturing Solutions (TATA) and Bharat Fritz Werner Ltd. He also served as a Research Associate at the Fraunhofer Institute for Machine Tools and Forming Technology in Germany. He maintains active professional affiliations as a CIRP Research Affiliate and SME Member. His research has practical applications in industrial manufacturing settings, particularly in improving machine tool performance and reliability. Dr. Law is associated with the Manufacturing Science and Solid Mechanics and Design research groups at IIT Kanpur. His work involves developing advanced modeling techniques and experimental methods to improve machine tool dynamics and manufacturing processes. He collaborates with international research institutions and maintains strong industry connections to ensure his research addresses real-world manufacturing challenges.

Supratik Mukhopadhyayمشاهده پروفایل

دانشیار

• Mechanics of composites
• Theory of damage and failure
• Numerical simulation of strain localization and fracture
• +۳ مورد دیگر

Supratik Mukhopadhyay is an Associate Professor in the Department of Mechanical Engineering at Indian Institute of Technology Kanpur (IIT Kanpur) . He specializes in the mechanics of composite materials, damage and failure theory, and advanced numerical simulation techniques including finite element and mesh-free methods. Education: PhD in Aerospace Engineering, University of Bristol (2016) M.Tech in Mechanical Engineering, IIT Kharagpur (2011) B.E in Production Engineering, Jadavpur University (2009) Research Interests: His work spans mechanics of composites , theory of damage and failure , numerical simulation of strain localization and fracture , finite element method , mesh-independent and mesh-free methods , and simulation of manufacturing processes . Publications Overview: His recent publications focus on experimental and numerical investigations into the failure and fatigue behavior of composite laminates, particularly those with embedded defects such as wrinkles and delaminations. His work contributes significantly to understanding composite durability and reliability under complex loading conditions. Awards & Honors: Commendation letter from Queens School of Engineering, University of Bristol Kenneth Harris James Prize from IMechE, UK Multiple medals and prizes from IIT Kharagpur and Jadavpur University for academic excellence Professional Experience: He served as a Post-Doctoral Research Associate at the University of Bristol from 2015 to 2018, and has been an Assistant/Associate Professor at IIT Kanpur since November 2018. He has also taught undergraduate courses at the University of Bristol.

Pinar Okumusمشاهده پروفایل

دانشیار

• Structural Engineering
• Earthquake Engineering
• Concrete Structures
• +۵ مورد دیگر

Pinar Okumus serves as Associate Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Her research focuses on advancing infrastructure resiliency through low-damage seismic systems, prefabricated concrete structures, and high-performance materials for rapid construction and repair of bridges and buildings. Her academic credentials include: PhD in Civil Engineering, University of Wisconsin, Madison (2012) MS in Civil Engineering, University of Wisconsin, Madison (2008) BS in Civil Engineering, Middle East Technical University (2006) Dr. Okumus' research integrates nonlinear structural analysis, material-scale testing, and in-situ monitoring to develop rapidly deployable infrastructure solutions. Her work emphasizes practical applications of pre-tensioned, post-tensioned, and reinforced concrete components for extreme event resilience, with particular focus on coastal infrastructure vulnerability and seismic retrofitting. The Dr. Okumus Research Group employs advanced methodologies including machine learning for structural assessment and optical fiber technologies for long-term monitoring. Recent publications (2023-2025) reveal strong thematic trends in corrosion effects on coastal infrastructure, 3D-printable cementitious composites for rapid repair, and tessellated structural-architectural systems. Her work increasingly incorporates machine learning for shear strength prediction and crack pattern analysis while maintaining core expertise in post-tensioned systems and seismic retrofit solutions. Research funding is secured through competitive grants from the National Science Foundation and Federal Highway Administration, supporting experimental validation of novel concepts like self-centering shear walls and ultrahigh-performance concrete retrofits. The group actively collaborates with transportation agencies to translate laboratory findings into field applications for bridge and building systems. The Dr. Okumus Research Group operates as an interdisciplinary team investigating structures that enable rapid reoccupation after extreme events. Current projects focus on modular systems with interlocking components, optical sensing integration for tendon force monitoring, and material innovations for climate-resilient infrastructure, maintaining strong connections with industry partners for practical implementation.