جستجوی استاد راهنمای دانشگاهی

• Mechatronics
• Signal Processing
• Control Systems
• +۷ مورد دیگر

Jonas Sjöberg is a Full Professor of Mechatronics at Chalmers University of Technology, where he leads the Mechatronic research group in the College of Engineering. His research spans multiple aspects of mechatronic systems with a strong focus on automotive applications. Sjöberg holds leadership roles in numerous research projects related to autonomous vehicles, vehicle control systems, and transportation safety. His research interests encompass a broad spectrum of mechatronics applications, with particular emphasis on model-based methods, signal processing, control systems, system identification, and optimization for design and product development of mechatronic systems. Sjöberg's work bridges theoretical control engineering with practical automotive applications, especially in the domains of Automotive Active Safety and Hybrid Electric Vehicles. Analysis of Sjöberg's recent publications reveals a strong research trajectory focused on autonomous vehicle technologies, with particular attention to vehicle dynamics control, intersection safety, road surface condition estimation, and optimization of vehicle maneuvers. His work demonstrates a consistent approach of applying advanced control theory to solve real-world transportation challenges, with increasing emphasis on machine learning techniques integrated with traditional control systems. Sjöberg actively supervises research and education at both undergraduate and graduate levels while leading multiple research projects funded by VINNOVA, the European Commission, and other organizations. His research group collaborates extensively with both academic institutions and industry partners in the automotive sector. His laboratory work focuses on mechatronic systems development, particularly for automotive applications including autonomous bicycles, bus docking systems, and vehicle control algorithms. The research group maintains strong connections with the automotive industry, particularly in Sweden's robust vehicle technology ecosystem.

• Wireless Networking
• Mobile Ad Hoc Networks
• Mobility Modeling
• +۵ مورد دیگر

Tracy Camp is a Professor in the Department of Computer Science at Colorado School of Mines, College of Applied Science and Engineering. With a distinguished career spanning over three decades, she has established herself as a leading researcher in wireless networking, mobility modeling, and computing education. Her work has evolved from foundational research in mobile ad hoc networks to impactful contributions in broadening participation in computing. Dr. Camp's research interests span wireless networking, mobility modeling, machine learning applications in networking, and computer science education. Initially focusing on mobility models for ad hoc networks, she published seminal work including the widely cited survey 'A survey of mobility models for ad hoc network research' (2002). More recently, her work has shifted toward computing education, particularly broadening participation in computing, K-12 teacher preparation, and supporting underrepresented students through scholarship programs like S-STEM. Her recent publications reveal a strong emphasis on machine learning applications for network security, particularly in analyzing encrypted messaging applications and smart device traffic. Simultaneously, she has become a national leader in departmental strategies for broadening participation in computing, developing frameworks for BPC (Broadening Participation in Computing) plans that are now required by the NSF. Dr. Camp has been instrumental in developing the CS@Mines program, creating successful scholarship ecosystems for low-income and underrepresented students, and leading Colorado's strategic approach to prepare K-12 computer science teachers. Her work bridges technical research with practical educational initiatives that address critical challenges in the computing field. She has served in leadership roles for major computing education conferences including SIGCSE, where she has contributed to shaping the national conversation about computing education, enrollment surges, and diversity in the field. Her collaborative work with organizations like CRA-W (Computing Research Association-Women) demonstrates her commitment to addressing systemic issues in computing.

• Solar MagnetoHydroDynamics (MHD)
• Nonlinear Plasma Waves
• Solar Corona Heating
• +۷ مورد دیگر

Dr. Istvan Ballai is a Senior Lecturer in Applied Mathematics at the School of Mathematical and Physical Sciences , University of Sheffield. His research focuses on MHD waves in solar and interplanetary plasmas , particularly their role in energy transport, plasma heating, and diagnostics. University : University of Sheffield Email : i.ballai@sheffield.ac.uk His work encompasses linear and nonlinear wave phenomena in partially ionized plasmas, with applications to solar corona heating and wave-based plasma diagnostics. Recent publications highlight advancements in modeling Alfvén waves , solar vortices , and photospheric flux tubes . Articles span 2025–2022 , emphasizing numerical simulations and observational analysis of wave propagation, energy concentration, and instability dynamics. Dr. Ballai has received grants from Leverhulme , Royal Society , Nuffield , and STFC , and contributes to teaching in Differential and Difference Equations , Complex Analysis , and Numerical Methods .

Roy Harrisonمشاهده پروفایل

استاد

• Air Pollution
• Environmental Health
• Atmospheric Chemistry
• +۳ مورد دیگر

Professor Roy Harrison OBE FRS is the Queen Elizabeth II Birmingham Centenary Professor of Environmental Health at the University of Birmingham and holds an Adjunct Professor position at King Abdulaziz University, Saudi Arabia. With a 45-year academic career, he specializes in air pollution , focusing on emissions, atmospheric transformations, and health impacts of particulate matter. B.Sc. (Chemistry, 1969) Ph.D. (Organic Chemistry, 1972) D.Sc. (Environmental Chemistry, 1989) His research spans airborne particle characterization , chemical aging of aerosols, traffic emission mitigation technologies, and environmental policy development . Recent publications emphasize source apportionment , oxidative potential measurement , and machine learning applications in pollution modeling. Scientific recognition : Officer of the Order of the British Empire (2004) Fellow of the Royal Society (2017) Web of Science Highly Cited Researcher Professor Harrison has supervised 30+ doctoral researchers and serves on numerous advisory boards including DEFRA's Air Quality Expert Group and WHO air quality guidelines committees. He is Editor-in-Chief of Climate and Atmospheric Science (Nature) and maintains active roles in multiple editorial boards.

Junming Hoمشاهده پروفایل

دانشیار

• Computational chemistry
• Physical organic chemistry
• Catalysis
• +۳ مورد دیگر

Associate Professor Junming Ho is a computational chemist at the School of Chemistry, University of New South Wales (UNSW), specializing in physical organic chemistry and reaction catalysis. He develops advanced computational methods for solute-solvent interactions and hybrid quantum mechanics/molecular mechanics (QM/MM) simulations. Education: PhD and BSc Hons I (University Medal) from Australian National University (ANU); BSc from University of Western Australia (UWA) Previous roles: A*STAR International Research Fellow at Yale University (USA); Research Scientist at Agency for Science, Technology and Research (Singapore) His research focuses on computational chemistry simulations to understand molecular behavior in various environments. Key areas include: Solvent modeling for reaction mechanisms Hybrid QM/MM methods for complex systems Molecular dynamics simulations in catalysis High-level ab initio calculations for precision Recent publications emphasize PFAS remediation , nanoconfined electrochemistry , and accurate QM/MM modeling for biological and environmental systems. His work bridges quantum chemical predictions with real-world applications in drug design and sustainable technologies. Scientific recognition includes: UNSW Award for Outstanding Contributions to Student Learning (2023) RACI Physical Chemistry Lectureship (2022) ARC Discovery Early Career Researcher Award (DE160100807, 2016-2020) RACI Cornforth Medal (2012) He supervises five PhD students in computational chemistry and contributes to chemical education through innovative teaching materials in courses like Quantum Nature of Molecules (CHEM3011) and Medicinal Organic Chemistry (CHEM3051).

• Machine Learning
• Signal Processing
• Telecommunications
• +۳ مورد دیگر

Andrea Migliorati is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He specializes in telecommunications and industrial/information engineering (IINF-03/A - Area 0009), with a focus on machine learning applications in signal processing and neural network optimization. Academic Role: Assistant Professor Department: Electronics and Telecommunications Research Branch: Telecommunications (IINF-03/A) University: Politecnico di Torino Migliorati's research explores neural network sparsification, quantization techniques, and robust training methods for secure systems. His work bridges telecommunications engineering with modern machine learning, targeting applications in wearable biometrics and edge computing. Key trends include: Advancing sparse trainable neural networks through concave regularization Developing ternary/binary quantization approaches for model compression Enhancing gait identification systems for wearable devices Improving adversarial robustness via Gaussian class-conditional training

• Signal Processing
• Image Processing
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. Bilge Günsel is a distinguished Professor at the Electronics and Communication Engineering Department of Istanbul Technical University . With a career spanning over three decades, she has served in academic and administrative roles including Department Head (2007-2010) and Deputy Head (2005-2006). Her research focuses on Signal Processing , Image Processing , and Machine Learning , with recent work on dynamic convolutional neural networks and video object tracking. Education : PhD (1994) and BS (1985) from Istanbul Technical University in Electronics & Communication Engineering. Research Interests include: Dynamic CNNs for scene classification Video object tracking with deep learning Meta-learning approaches in object verification Transfer learning for crowd density estimation Recent Publications (2021-2024) demonstrate expertise in: Target-driven inference in video tracking Dynamic convolution techniques Instance segmentation integration Scientific Achievements : Scopus h-index of 18 Over 1252 citations Principal Investigator (PI) for two major BAP projects (2016-2019) Collaborations span Turkey and international institutions, with research outputs in partnership with IEEE and academic peers like Furkan Gurkan and Yavuz K. Hanoglu. She continues to lead cutting-edge research while maintaining active teaching and administrative duties.

Wojciech Solowskiمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Computational Geomechanics
• Numerical Modeling of Soils
• +۷ مورد دیگر

Dr. Wojciech Solowski is an Associate Professor at Aalto University , specializing in computational simulations of soils and granular materials with a focus on numerical methods and constitutive modeling. His research spans geotechnical engineering, environmental geomechanics, and computational mechanics. Research Interests : Numerical modeling (FEM/MPM), THMC behavior of soils, unsaturated soil mechanics, soil improvement, frost susceptibility, ground vibrations, and laboratory testing. Scientific Contributions : Dr. Solowski has extensively advanced the Material Point Method (MPM) for large deformation problems in geotechnics and developed the in-house finite element code Thebes for THMC coupling simulations. His work addresses critical challenges in nuclear waste repositories, soft soil stabilization, and offshore sediment characterization. Publication Trends : Recent articles focus on MPM for marine clay analysis, THMC coupling in bentonite barriers, 3D shrinkage deformation measurements, and geophysical-geotechnical integration for offshore wind farms. His research emphasizes practical applications in energy transition and infrastructure resilience. Affiliations : Mineral Based Materials and Mechanics research group at Aalto University. Committee Roles : International Secretary of the Finnish Geotechnical Society; member of ISSMGE TC106 (unsaturated soils) and ERTC7 (numerical methods).

• Automotive Engineering
• Automated Driving Systems
• Vehicle Dynamics
• +۵ مورد دیگر

Prof. Dr. Hermann Winner is a full Professor and Head of the Institute of Automotive Engineering (FZD) at Technische Universität Darmstadt since 2002. He previously held leadership roles in predevelopment and series development at Robert Bosch GmbH (1987–2001) and served on international standards committees like ISO/TC204/WG14. Education : Diplomphysicist (1981), Westfälische Wilhelms-Universität Münster Doctorate (1987), Westfälische Wilhelms-Universität Münster (Topic: Dynamics of domain walls in metal ferromagnetic materials) Research Interests : His work focuses on automated driving systems , automotive sensor modeling , and safety validation methodologies . Key contributions include modular safety frameworks (S2I2), behavior-semantic scenery descriptions for autonomous vehicle development, and advanced driver assistance systems (PRORETA 5). He has pioneered research on lidar sensor simulation, brake wear particle emissions, and motorcycle dynamics safety. Article Trends : Recent publications (2022–2024) emphasize automated urban driving safety , semantic scenario modeling , and sensor-based localization . Earlier works (2012–2021) established foundational concepts in fail-operational architectures , collision criticality metrics , and automotive system decomposition . Scientific Awards : IEEE-ITS Institutional Award (2012) for leadership in automated driving research Labs & Projects : He leads the Institute of Automotive Engineering (FZD) at TU Darmstadt and has been integral to projects like UNICARagil (disruptive vehicle architectures), PRORETA series (collision avoidance systems), and collaborations with institutions such as the Daimler und Benz Stiftung and the Bundesanstalt für Straßenwesen.

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
• +۴ مورد دیگر

Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

• Experimental High-Energy Particle Physics
• CP Violation Studies
• B-Physics and Strange Quark Physics
• +۴ مورد دیگر

Roger William Lewis Jones is a Professor and Head of the Department of Physics at Lancaster University . His career spans experimental high-energy particle physics, QCD research, and global computing infrastructure development for large-scale scientific projects like ATLAS and the Rubin Observatory. ATLAS experiment (LHC) for CP violation studies in B-physics NA62 experiment for strange quark physics LEGEND collaboration for neutrino research Leadership in GridPP and Worldwide LHC Computing Grid Research Focus : Experimental particle physics with emphasis on CP violation, QCD dynamics, and data-intensive computing systems. His work bridges hardware development (e.g., tracking detectors) and software innovation (e.g., Grid computing farms across UK institutions). Recent Publications highlight precision measurements in jet physics, Higgs decays, and searches for new particles like heavy neutral leptons. Articles span 2025 with collaborations on ATLAS and NA62, focusing on detector calibration, cross-section analysis, and beyond-Standard-Model signatures. Leadership Roles : Chair of NorthGrid Management Board Former Chair of STFC Particle Physics Advisory Panel (2019-2022) Chair of Institute of Physics Head of Department Forum Steering Committee (2019-2024) Key contributor to GridPP and Worldwide LHC Computing Grid

Albert Fornells Herreraمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Decision Support Systems
• +۷ مورد دیگر

Albert Fornells Herrera serves as Professor and Vice Dean of Academic Planning at IQS School of Management, Ramon Llull University, where he also leads the Department of Mathematics and Data Analytics. With an academic career spanning since 2003, he has held significant leadership roles in academic management, research coordination, and teaching quality improvement across multiple universities. His research centers on data science, AI-based decision support systems, and disruptive technologies addressing societal challenges. Current work focuses on improving cancer patients' quality of life through data analytics solutions, with applications in breast cancer, melanoma, and leukemia. His interdisciplinary approach spans education, tourism, and sustainability, demonstrating how data literacy drives real-world solutions. Dr. Fornells' publication portfolio shows strong emphasis on hospitality technology adoption, student competency development, and tourism impact analysis. His recent work reflects commitment to practical applications of data science across sectors, with publications appearing in high-impact journals in artificial intelligence, education, and tourism fields. ADAMIQS research group recognized as emerging group by Generalitat of Catalonia (SGR 2022) He has supervised five completed doctoral theses (three in AI, two in skills development) and currently mentors three PhD candidates working on leukemia patient quality of life and food packaging defect detection. His grant portfolio includes ALL-TARGET precision medicine trial (2024-2029), EcoHarmony project (2024-2027), and multiple tourism technology initiatives funded by Ramon Llull University and public entities. As a research leader, he founded the ADAMIQS (Applied Data Analytics and Maths IQS) group and transformed the Department of Quantitative Methods into the current Department of Mathematics and Data Analytics. He previously created the Department of Tourism and its research group at HTSI-URL (2018) and contributed to establishing the Tourism Tech cluster promoted by ACCIÓ (Generalitat de Catalunya).

Antony Rodriguezمشاهده پروفایل

دانشیار

• MicroRNA Biology
• Lung Disease
• Stem Cell Biology
• +۳ مورد دیگر

Antony Rodriguez, Ph.D., is an Associate Professor at Baylor College of Medicine, affiliated with the Department of Immunology, Allergy & Rheumatology and the Center for Translational Research on Inflammatory Diseases (CTRID). He holds roles as a Graduate Faculty Member in Immunology & Microbiology and Development, Disease Models & Therapeutics. His laboratory focuses on microRNA-mediated mechanisms in lung physiology and repair, particularly in COPD and interstitial lung disease (ILD). Education includes a PhD in Genetics, Development, and Programmed Cell Death from the University of Texas Southwestern Medical Center, followed by a postdoctoral fellowship at the Wellcome Trust Sanger Institute focusing on microRNAs, immunology, and stem cells. Research interests center on microRNA regulation of lung repair, stem cell dysfunction, and inflammation-driven injury. Key projects include let-7 miRNA's role in Tc17 differentiation and fibrogenic pathways. Techniques used include chimeric AGO2-eCLIP, single-cell RNA sequencing (scRNA-seq), and CUT&RUN. Active NIH-funded projects (NHLBI) investigate let-7's role in lung disease pathogenesis and AT2 cell homeostasis. No scientific awards are explicitly listed in the provided text. His work bridges basic science and translational medicine, aiming to develop novel therapies for severe lung diseases such as COPD and ILD.

Aline Normoyleمشاهده پروفایل

استادیار

• Digital Humans
• Character Animation
• Video Games
• +۴ مورد دیگر

Aline Normoyle is an Assistant Professor of Computer Science at Bryn Mawr College, where she leads the MOVR (Motion Capture and Virtual Reality) lab. Her research focuses on character animation, video game design, and analyzing human motion from video. She holds a B.Sc. from McGill University, and a M.Sc. and Ph.D. from the University of Pennsylvania. Prior to academia, she worked as a software engineer for 10 years, specializing in networking, graphics, and behavioral modeling. Her work bridges computational methods with experimental approaches to study non-player characters, avatars, and game mechanics. Normoyle’s contributions include open-source tools for sign language analysis and VR experiments, and she actively collaborates across disciplines including linguistics and psychology. She has been recognized with the Best Student Presentation Award at the 2013 Symposium on Applied Perception. Her teaching spans foundational computer science courses and specialized topics in game programming and animation. Education: B.Sc. in Computer Science, McGill University (1999) M.Sc./Ph.D. in Computer Science, University of Pennsylvania (2015) Research Interests: Procedural character animation and behavior Motion capture and analysis techniques Immersive VR/AR applications Game-based experimental platforms Accessibility in digital human modeling Recent Work Trends: Normoyle’s recent publications explore gesture-based user identification, controller effects in AR games, and the role of hand motions in virtual communication. Her work emphasizes interdisciplinary approaches, combining AI with traditional animation techniques to create more expressive and interactive virtual characters. Awards: Best Student Presentation Award, Symposium on Applied Perception (2013) Advising & Grants: Normoyle advises students in animation, VR, and game design, requiring foundational coursework in computer graphics and systems programming. She has received support for her research through collaborations with institutions like Clemson University and New York University. Labs & Teams: Director of the MOVR lab at Bryn Mawr, focusing on motion capture, VR experiments, and open-source tools for sign language analysis.

Javier F. Medinaمشاهده پروفایل

استاد

• Neural Circuits
• Computational Neuroscience
• Prediction Machines
• +۳ مورد دیگر

Javier F. Medina, Ph.D., is a Professor and Brown Foundation Chair in Neuroscience at Baylor College of Medicine. His research focuses on understanding how neural circuits implement supervised learning to make predictions, particularly in the context of motor control and cognitive functions. His laboratory combines experimental techniques such as electrophysiology, optogenetics, and two-photon imaging with computational modeling and artificial neural networks to uncover the computational principles underlying brain function. Education Postdoctoral Fellowship in Neuroscience, UCSF (2007) Ph.D. in Neuroscience, University of Texas, Houston (2000) Bachelor of Science in Computer Science and Physics, Drexel University, Philadelphia (1993) Research Interests Medina’s work integrates computational neuroscience with experimental approaches to study prediction and error correction in neural circuits. His lab investigates how the cerebellum encodes temporal information, processes sensory input, and adapts through learning. Key topics include supervised learning algorithms, neural coding in Purkinje cells, and the role of prediction errors in motor adaptation. Publications His research spans themes in cerebellar circuitry, motor learning, and computational modeling. Recent work includes deep learning strategies for cell-type identification and studies on cerebellar modules for predictive control. Grants & Labs Medina leads a lab at Baylor College of Medicine, focusing on experimental and theoretical neuroscience. His work has implications for motor disorders linked to learning deficits, such as ataxia and Parkinson’s disease.