جستجوی استاد راهنمای دانشگاهی

Carlo Menonمشاهده پروفایل

استاد

• Wearable Technology
• Electronic Textiles (E-textiles)
• Bio-signal Processing
• +۴ مورد دیگر

Prof. Carlo Menon is a Full Professor and Head of the Biomedical and Mobile Health Technology Lab at ETH Zürich. His expertise spans wearable technology, e-textiles, and bio-signal processing for healthcare and sports applications. He holds a Laurea in Mechanical Engineering and a PhD in Space Sciences from the University of Padua, with prior roles at Carnegie Mellon University and Simon Fraser University. His lab focuses on next-generation wearables for personalized medicine and neuromuscular rehabilitation. Prof. Menon has secured over 80 grants and published 400+ works, co-founding two startups to commercialize his research. Education: Laurea in Mechanical Engineering, University of Padua PhD in Space Sciences and Technologies, University of Padua Research Interests: His lab develops innovative materials for e-textiles, computational methods for bio-signal analysis, and wearables for sports and medical monitoring. Key projects include motion tracking via triboelectric textiles, privacy-preserving health sensors, and stroke rehabilitation technologies. His work bridges engineering and clinical needs, emphasizing translational research. Awards & Recognition: Tier I Canada Research Chair CIHR and MSFHR Career Awards Advising & Grants: As lab head, he oversees 40+ researchers in the Menrva Group. His funding portfolio includes competitive grants totaling over CHF 8 million, supporting projects in wearable energy harvesting and clinical validation. Labs & Collaborations: Leads the ETH Zurich Biomedical and Mobile Health Tech Lab, collaborating with ESA and industry partners. His Menrva Research Group focuses on multi-disciplinary wearable tech solutions.

• Mechanical Engineering
• Automotive Engineering
• Structural Optimization
• +۵ مورد دیگر

Erol Gültekin is an Assistant Professor in the Department of Mechanical Engineering at Turkish Air Force Academy University, affiliated with the Faculty of Engineering. His research focuses on structural optimization, engine design, and battery safety, with applications in automotive, aerospace, and materials science. He collaborates with institutions like Bursa Uludağ University on projects involving lattice structures and engine mechanisms. Key research interests include topology optimization, fuel additive effects on engine performance, and lattice structure analysis for battery housing. He employs tools like HyperWorks and SolidWorks for simulations and prototyping. Recent studies highlight advancements in rhombic-drive engine mechanisms, fuel additives for SI engines, and lattice structures for crashworthiness. His work addresses energy efficiency, mass reduction, and safety in mechanical systems. No scientific awards are listed, but his contributions span multiple peer-reviewed publications since 2019. Collaborations with co-authors like Mehmet Yahşi and Alper Calam drive innovations in structural and automotive engineering.

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۶ مورد دیگر

Lily Popova Zhuhadar is a Professor of Analytics & Information Systems at Western Kentucky University's Gordon Ford College of Business, where she also serves as Director of the WKU Center for Applied Data Analytics and Coordinator of the Undergraduate Business Data Analytics Program. Her academic journey began with a Master of Sciences in Computer Science from Western Kentucky University in 2004, followed by a Doctor of Philosophy in Computer Engineering and Computer Science from the University of Louisville in 2009. Dr. Zhuhadar's educational background includes: Doctor of Philosophy, Computer Engineering and Computer Science, University of Louisville (2009) Master of Sciences, Computer Science, Western Kentucky University (2004) Her research interests span Machine Learning, Artificial Intelligence, Data Mining, Pattern Recognition, Data Science, Analytics, Semantic Web, Smart Cities, and Computers in Human Behavior. Dr. Zhuhadar's work bridges theoretical computer science with practical applications in healthcare, business analytics, and educational technology. She has made significant contributions to semantically enriched e-learning resources, intelligent tutoring systems, and data analytics for crisis management, with particular expertise in applying analytical techniques to solve complex real-world problems across multiple domains. Dr. Zhuhadar's publication record demonstrates a consistent focus on applying advanced data analytics techniques to solve real-world problems. Her recent work has increasingly focused on healthcare applications, including stroke prediction, diabetes diagnosis, and ecosystem management. She has also maintained a strong interest in educational data mining, particularly in understanding student success pathways in STEM disciplines. Her research methodology often combines semantic web technologies with traditional data mining approaches to create innovative solutions. Her scientific achievements have been recognized through numerous awards: College Faculty Award for Research & Creativity (2023-2024) College Faculty Award for Service (2023-2024) College Faculty Award for Research & Creativity (2022-2023) College Faculty Award for Teaching (2021-2022) University Award for the Most Prolific Grant Proposer (2014-2015) Dr. Zhuhadar has secured over $600,000 in external research funding and more than $100,000 in internal grants. She has served as Principal Investigator on diverse projects ranging from AI applications in healthcare to financial fraud detection. Her mentorship of undergraduate students through the WKU Faculty-Undergraduate Student Engagement program has resulted in numerous collaborative research projects and conference presentations, with over 15 students co-authoring publications and presentations with her in the past two years alone. As Director of the WKU Center for Applied Data Analytics, Dr. Zhuhadar has built a thriving research infrastructure that supports faculty and student research across multiple disciplines. Under her leadership, the Center secured over $101,000 in research grants in 2022-2023, with 33% of funds allocated to support student educational pursuits. She has organized multiple webinar series and research enrichment programs to build data analytics capacity across the university community.

Ilkka Nissiläمشاهده پروفایل

پژوهشگر

• Biomedical Optics
• Neuroimaging
• Optical Tomography
• +۷ مورد دیگر

Ilkka Nissilä, Ph.D., is a Staff Scientist at the Department of Neuroscience and Biomedical Engineering , Aalto University. With a career spanning over two decades, his work focuses on diffuse optical tomography , near-infrared spectroscopy , and neonatal brain imaging . He served as a Principal Investigator for the Academy of Finland-funded project Multimodal neuroimaging of children (2016–2018) and has collaborated internationally through visiting researcher appointments. Education : Doctoral Degree in Engineering, Helsinki University of Technology (2004) Master's Degree in Engineering, Helsinki University of Technology (1998) Research Themes : Biomedical optics and optical tomography for brain imaging Neurovascular coupling and hemodynamic responses Developmental neuroscience in infants/children Emotional and sensory processing in early life Algorithm development for image reconstruction Integration of NIRS with TMS/MEG/EEG Article Trends : Recent work combines deep learning with diffuse optical tomography for improved brain imaging Studies maternal mental health impacts on child brain development Advances frequency-domain data utilization and 3D anatomical modeling in neonatal studies Activities : Visiting Researcher (2001–2008) at multiple foreign institutions Conference Presentations Media Impact : 2023: AI-Mind General Assembly participation 2022: Co-developed a skin-stroking device for alcohol cravings 2019: Maternal anxiety effects on infant brain covered in Finnish media Collaborations : International partnerships in biomedical optics Interdisciplinary work with pediatric and psychiatric researchers

Dheeraj Gandhiمشاهده پروفایل

استاد

• Neurointerventional Surgery
• Cerebrovascular Disorders
• Neuroradiology
• +۴ مورد دیگر

Dheeraj Gandhi is a Professor at the University of Maryland School of Medicine , with primary appointments in Diagnostic Radiology and Nuclear Medicine and secondary appointments in Neurology and Neurosurgery . He serves as Vice Chair for Academic Affairs and Director of Neurointerventional Surgery , focusing on cerebrovascular disorders such as brain aneurysms, strokes, and neuropathic pain. MBBS from Maulana Azad Medical College, New Delhi (1994) Residency in Radiology (2000) and Fellowships in Neuroradiology and Neurointerventional Surgery (2002-2004) His research integrates neurointerventional surgery , MRI-guided focused ultrasound , and stroke management , with over 260 publications in journals like New England Journal of Medicine , Lancet , and Radiology . He leads investigator-initiated trials for Focused Ultrasound applications and national studies like SOFAST and RESTORE. Notable awards include: Magna Cum Laude and Summa Cum Laude (ASNR) Certificate of Merit (RSNA) Fellow of American College of Radiology (FACR) Rueben S Mezrich Award (2024) He has directed neuroimaging for major trials and established two ACGME-accredited neurointerventional fellowships, emphasizing patient safety and technical innovation.

• Molecular Cell Biology
• Signal Transduction
• Gene Expression Regulation
• +۵ مورد دیگر

Shim Jae-kyung serves as Assistant Professor in the Department of Bioindustry and Resource Engineering at Sejong University's School of Life Systems, where she has conducted research since 2015 following her prior appointment in the Department of Molecular Biology (2003-2014). Her work centers on nuclear signaling mechanisms and disease pathogenesis. Her academic foundation includes: Ph.D. in Biological Science from Korea Advanced Institute of Science and Technology (2000) M.S. in Biochemistry from Yonsei University (1994) B.S. in Biochemistry from Yonsei University (1991) Research focuses on nuclear signal transduction and gene expression regulation , particularly examining Notch/STAT3 pathway crosstalk , nuclear membrane protein functions (Emerin), and RNA modification mechanisms (YTHDF2). Her laboratory employs zebrafish developmental models , mammalian cell systems , and plant stress response studies to investigate disease mechanisms including cancer progression and developmental disorders. Current work reveals how spatial control of signaling molecules at the nuclear membrane regulates transcriptional outcomes. Publication analysis shows consistent emphasis on nuclear signaling hubs since 2014, with recent work (2021-2024) demonstrating triptolide's dual regulation of Notch/STAT3 in cancer and development, Emerin's spatial control of STAT3, and YTHDF2's post-transcriptional regulation of Notch. Plant research complements this through stress response mechanisms in crops. Professor Shim leads the Molecular and Cellular Biology Laboratory (Chung1127), supervising master's thesis research while teaching courses including General Biochemistry, Biopolymer Engineering, and Antibody Engineering. Her consultation hours are Monday, Wednesday, and Friday 3:00-5:00 PM.

• Neuroscience
• Neurorehabilitation
• Motor Learning
• +۵ مورد دیگر

Mahyar Firouzi is a Researcher at Vrije Universiteit Brussel, affiliated with the department of Physiotherapy, Human Physiology and Anatomy and the Brain, Body and Cognition research group. His work focuses on neurorehabilitation, motor learning, and the application of non-invasive brain stimulation (e.g., tDCS) in neurological conditions like Parkinson’s disease. He is the principal investigator of the ongoing project 'Neural networks underlying implicit motor sequence learning in Parkinson's disease: effects of non-invasive brain stimulation' (2021–2025). His research integrates cognitive neuroscience with clinical rehabilitation, exploring topics such as cerebellar function, dual-task gait performance, and exoskeleton design for aging populations. Firouzi has supervised two Master’s theses examining perioperative pain management strategies and lumbar radiculopathy. He actively participates in academic events, including organizing symposiums on portable technology and presenting at conferences on neurostimulation. Key contributions include systematic reviews on stroke rehabilitation electrotherapy and tDCS effects in Parkinson’s disease, as well as developing exergames and functional cerebellum atlases. He received the Best Presentation Award at the C4N PhD Day in 2020 and holds a FWO Fundamental Research Fellowship.

• Heat Transfer
• Internal Combustion (I.C.) Engines
• Torque Converters
• +۴ مورد دیگر

Carl L. Anderson is a Professor at the Department of Mechanical Engineering, Michigan Technological University. He holds a Ph.D. from the University of Wisconsin - Madison. His research focuses on heat transfer, internal combustion engines, torque converters, and microwave telemetry techniques for automotive applications. Key research areas include spray impingement signatures in diesel engines, cavitation detection in torque converters, and piston heat transfer in two-stroke engines. He has developed innovative microwave telemetry systems for measuring temperature, pressure, and strain in rotating/reciprocating machinery. His publications emphasize automotive engineering challenges, including emission reduction strategies for snowmobiles and structural analysis of turbine blades. Research methods involve advanced instrumentation and computational modeling to address durability and thermal management issues in engine components.

• Industrial Design
• Human-Centered Design
• Product Development
• +۳ مورد دیگر

Craig Stehle is a Professor of Industrial Design at Savannah College of Art and Design (SCAD) in Atlanta since 2019. He co-founded Lobe Innovation Management in 2014, focusing on innovation and design strategy. Previously, he held adjunct roles at Georgia Institute of Technology and Northwestern University, and taught in China through the Jiang China Human-Centered Design Program. His career spans over two decades in product development, design research, and academic leadership. Education: M.I.D. in Industrial Design, North Carolina State University B.F.A. in Graphic Design, East Carolina University Research Interests: Craig’s work emphasizes human-centered design, particularly in healthcare and assistive technologies. He explores strategies to enhance product usability for populations such as stroke survivors, integrating ergonomic principles and user-centric approaches. His academic contributions bridge design theory with practical innovation in product lifecycle management. Publications/Presentations: His 2008 study on stroke survivor product design and 2004 presentation on strategic design processes highlight his focus on merging design with healthcare and business strategy. Grants & Advising: No specific grants or advising details were provided, but his roles in academia and industry suggest extensive mentorship in design education and innovation. Labs/Teams: Co-founder of Lobe Innovation Management, a firm specializing in innovation management and product development consulting.

Ville Kolehmainenمشاهده پروفایل

استاد

• Computational Inverse Problems
• Uncertainty Quantification
• Medical Imaging
• +۶ مورد دیگر

Ville Kolehmainen is a Professor at the Department of Technical Physics within the Faculty of Science, Forestry and Technology at the University of Eastern Finland (UEF). His research focuses extensively on computational inverse problems and uncertainty quantification , with applications in advanced medical imaging techniques such as X-ray tomography , diffuse tomography , and MRI . He actively collaborates with clinical experts and engineering specialists to develop novel imaging modalities for 3D/4D imaging with sparse data Electrical impedance tomography (EIT) Multi-energy CT reconstruction Thermal tomography Ville Kolehmainen leads the Inverse Problems research group (active since 2010) and contributes to the Neuro-Innovation project (2021-2026). His work integrates Bayesian statistical inversion , parallel level sets , and nonlinear reconstruction methods to address challenges in Medical tomography Optical diffusion tomography Thermal conductivity estimation Atmospheric remote sensing Recent publications highlight his contributions to electrical impedance tomography for hemorrhagic stroke monitoring, dual-modality imaging of two-phase flows, and deep learning post-process corrections in remote sensing. His methodological innovations include model error compensation , sparsity-promoting inversion , and anatomical prior integration in image reconstruction. Collaborations span University of Eastern Finland , University College London , and Harvard Medical School researchers.

• Applied Electromagnetics
• Antennas and Propagation
• Microwave Imaging
• +۳ مورد دیگر

David Orlando Rodriguez Duarte is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin (Politecnico di Torino), Italy. He is a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab and actively contributes to the applied electromagnetics research group. His academic work bridges electromagnetic theory with practical medical applications, particularly in developing innovative imaging technologies for healthcare. Dr. Rodriguez Duarte is completing his Ph.D. degree with the Department of Electronics and Telecommunications at Politecnico di Torino while holding a prestigious Marie Sklodowska-Curie Fellowship. He is deeply involved in the EMERALD project, which focuses on modeling and designing microwave imaging systems for cerebrovascular diseases. The department's research group has over 10 years of experience advancing both theoretical and applied electromagnetism, with significant contributions in electromagnetic theory, wave propagation, and applications in communication systems and radar technology. His research spans multiple interconnected domains in applied electromagnetics. He specializes in antenna design specifically tailored for medical applications, with particular expertise in microwave imaging systems for neurological conditions. His work in electromagnetic field theory focuses on biomedical contexts, especially stroke monitoring and detection. He develops practical implementations that bridge theoretical concepts with clinical applications, addressing critical healthcare challenges. His research directly supports SDG Goal 3: Good health and well-being through the development of accessible diagnostic technologies. Dr. Rodriguez Duarte's scholarly output demonstrates a clear progression toward developing practical, portable microwave imaging solutions using off-the-shelf components. His recent work increasingly integrates machine learning techniques with traditional microwave sensing approaches, enhancing diagnostic accuracy for neurological conditions. There's a strong emphasis on creating real-time imaging solutions that can be deployed at the bedside for immediate patient care, particularly for time-sensitive conditions like stroke. Marie Sklodowska-Curie Fellowship for research on microwave imaging systems for cerebrovascular diseases Dr. Rodriguez Duarte serves as primary supervisor for two doctoral candidates: Alex Ramiro Masaquiza Caiza (40th cycle, 2024-present) and Martina Gugliermino (39th cycle, 2023-ongoing). Their research focuses on 'EM field study in medicine: characterization of materials for phantoms and stroke monitoring algorithms.' He has secured research funding through the EMERALD European project (2018-2021) and continues to develop grant-supported work in biomedical microwave imaging. His ERC sector alignments include PE7_6 (Communication technology), PE7_11 (Medical applications), and PE7_3 (Simulation engineering). He is an integral member of the PolitoBIOMed Lab - Biomedical Engineering Lab, where his team develops microwave imaging technologies for brain stroke monitoring. The lab focuses on creating practical implementations of electromagnetic theory for medical diagnostics, with emphasis on point-of-care applications. Their work addresses a critical healthcare need as stroke affects approximately one in six people worldwide and requires prompt diagnosis for effective treatment, making their research vital for improving patient outcomes through early detection technologies.

• Adult Neurogenesis
• Brain Development
• Neuroinflammation
• +۳ مورد دیگر

Francis Szele is an Associate Professor of Developmental Biology at the University of Oxford and co-Head of OxStem Neuro. His research focuses on molecular mechanisms regulating adult neurogenesis, particularly in disease and injury contexts. He previously held positions at Northwestern University and the University of Pennsylvania.

• Energy Systems Engineering
• Combustion Diagnostics
• Tribology
• +۴ مورد دیگر

Matthias Stark serves as Professor of Energy Systems Engineering at the Institute of Thermal and Fluid Engineering, School of Engineering and Environment, FHNW University of Applied Sciences and Arts Northwestern Switzerland (Windisch) since 2020. Previously, he was Team Leader for Future Technologies at Winterthur Gas and Diesel (2016-2020) and Research Engineer at Wärtsilä Ltd (2005-2016). His research spans combustion diagnostics, tribology/rheology, and advanced measurement/sensor technologies for energy systems. Key areas include lubrication systems in marine diesel engines, oil film thickness measurement via ultrasonic methods, injector design optimization, and the impact of alternative fuels on engine tribology and emissions. He integrates experimental methods with theoretical analysis to enhance engine efficiency and reduce environmental impact. Analysis of his recent publications shows a consistent focus on large two-stroke marine diesel engines. His work addresses tribological challenges under new fuel regulations (e.g., sulfur cap 2020), develops real-time optical sensors for lube oil, and optimizes lubricant flow to reduce particulate emissions. The research combines numerical simulation, experimental testing, and advanced diagnostics. Stark is an active member of the Institute of Thermal and Fluid Engineering at FHNW, where he leads research in energy systems and teaches courses including thermodynamics, heat transfer, and advanced experimental methods.

Bjørn Christian Dueholmمشاهده پروفایل

پژوهشگر ارشد

• Diesel Engine Technology
• Lubrication Systems
• Marine Propulsion
• +۶ مورد دیگر

Bjørn Christian Dueholm is a Research Fellow at Aalborg University's Department of Materials and Production within The Faculty of Engineering and Science. His work focuses on advanced engineering solutions for marine propulsion systems and pharmaceutical manufacturing. He maintains an active research profile with recent publications spanning diesel engine technology, lubrication systems, and aseptic production methodologies. His primary research interests include: Diesel Engine Technology and Marine Propulsion Systems Numerical Simulation of Engine Processes Lubrication Systems for Two-Stroke Engines Scavenging Process Optimization Aseptic Pharmaceutical Manufacturing Industrial Metaverse Applications Dueholm's publication trends demonstrate consistent expertise in mechanical engineering with a specialization in marine diesel engine systems. His recent work shows increasing diversification into pharmaceutical manufacturing innovation and digital production systems. The research output spans high-impact journals and conference proceedings with strong industry relevance. Current projects include: AP2030: BRD Aseptic Factory 2030 (2023-2027) - focusing on aseptic production systems for pharmaceutical applications Recent completion of Cylinder Lubrication of two-stroke diesel engines project (2020-2023) His research methodology combines advanced numerical simulation with experimental validation, particularly in the areas of fluid dynamics and thermal engineering as applied to engine systems and production technology.

• Biomedical Engineering
• Computational Fluid Dynamics
• Flight Physics
• +۴ مورد دیگر

Dr. Tamas Jozsa is a Lecturer in Computational Fluid Dynamics at Cranfield University 's Centre for Computational Engineering Sciences. He joined Cranfield in early 2023 after a research fellowship at Amsterdam University Medical Centres and postdoctoral/mentoring roles at the University of Oxford (2018-2023) for the EU HORIZON2020 INSIST project. His academic journey began with a Mechanical Engineering BSc from Budapest University of Technology and Economics (2012), followed by MSc studies at Cranfield University and Budapest University of Technology and Economics. His career trajectory spans positions from PhD research (University of Edinburgh 2014-) in marine coating technology to medical applications of CFD in stroke research. Education Mechanical Engineering BSc (BUT 2012) MSc Computational Fluid Dynamics (Cranfield 2014) MSc Mechanical Engineering Modelling (BUT 2014) Dr. Jozsa's work bridges two major domains: aerodynamic drag reduction (marine coatings, wind tunnels) and biomedical CFD applications for stroke research. His research spans: Biomedical Engineering Cerebral blood flow modeling In silico clinical trials Osmotherapy for stroke treatment Microthrombi impact analysis Computational Fluid Dynamics Lattice Boltzmann methods Porous media modeling Wall turbulence control High-fidelity simulations Clinical Integration INSIST EU project Medical imaging data assimilation Physiological parameter quantification Stroke treatment optimization His peer-reviewed publications demonstrate expertise in: Developing and validating CFD models for clinical applications Combining 1D arterial flow with 3D tissue perfusion models Applying lattice Boltzmann methods to medical problems Quantifying hypoxia and tissue damage in stroke patients Optimizing brain oxygen transport through computational models Validating simulation frameworks for regulatory applications Dr. Jozsa's collaborative network spans institutions including: Amsterdam UMC University of Oxford University of Edinburgh European partners in the INSIST consortium International collaborators in medical imaging and computational physiology