جستجوی استاد راهنمای دانشگاهی

Abozar Nasirahmadiمشاهده پروفایل

استاد

• Digitalization in Agriculture
• AI-driven Farm Management
• Agricultural Robotics
• +۳ مورد دیگر

Abozar Nasirahmadi is a Professor of Digitalization in Agricultural Engineering at the Swedish University of Agricultural Sciences (SLU). His expertise spans AI-driven solutions, agricultural robotics, and smart sensing technologies. He holds a Professor title since 2023 and completed his Habilitation (habil.) at the University of Kassel. Education: 2023: Professor, SLU Habilitation (habil.), University of Kassel Research Assistant, Newcastle University Dr. agr., University of Kassel MSc. Agric. Eng., Ferdowsi University Of Mashhad Research Interests: Focuses on digital transformation in agriculture, including automation, robotics for crop/livestock farming, and machine learning applied to agricultural data. Leads research in smart farming technologies and agricultural technology innovation. Grants & Labs: Active in agricultural technology research groups at SLU, though specific grants or lab names are not detailed here.

Adeolu Ogunleyeمشاهده پروفایل

پژوهشگر ارشد

• Environmental Toxicology
• Molecular Biology
• Epigenetics
• +۳ مورد دیگر

Adeolu Ogunleye is a Research Fellow at Uppsala University's Department of Organismal Biology (Physiology and Environmental Toxicology), affiliated with the Evolutionary Biology Centre (EBC). His research focuses on environmental toxicology, molecular mechanisms of disease, and computational biology. Key areas include studying the effects of environmental contaminants like PFAS on organisms using zebrafish models, exploring transgenerational epigenetic changes, and applying machine learning to predict cancer drug responses. Research Interests His work bridges environmental science and health, emphasizing how pollutants impact gene expression, behavior, and fitness across generations. Recent studies examine PFAS-induced neurobehavioral and transcriptomic changes in zebrafish, while earlier studies explored mineral imbalances in diabetes and lipid profiles in hypertensive Nigerian populations. Publications Adeolu’s recent publications (2024) highlight PFAS exposure’s multi-generational effects, DNA methylation responses to cancer therapies, and predictive models for drug resistance. Earlier work (2010–2014) addressed metabolic disorders in Nigerian populations through epidemiological studies. Awards & Grants No awards or grants explicitly listed in the provided texts. Labs & Affiliations Affiliated with the Evolutionary Biology Centre (EBC), Uppsala University, where his research integrates experimental and computational approaches to environmental health challenges.

• Information Theory
• Coding Theory
• Digital Communications
• +۳ مورد دیگر

Erik Agrell is a Full Professor in Communication Systems at Chalmers University of Technology, Department of Electrical Engineering. He is a Fellow of the IEEE and co-founder of the Fiber-Optic Communications Research Center (FORCE). His research focuses on information theory, coding theory, and their applications in optical communications, aiming to enhance fiber-optic network efficiency. He also explores lattice theory and sphere packing in engineering and physics contexts. Affiliations: Chalmers University of Technology, FORCE Key Research Areas: Information Theory, Coding Theory, Optical Communications, Lattice Theory Recent work emphasizes geometric shaping in optical systems, phase noise mitigation, and machine learning integration for polarization sensing. His publications span 346 works, including studies on lattice quantizers, probabilistic shaping, and multi-core fiber transmission. Awards: IEEE Fellow Agrell advises on projects involving network optimization, resource allocation, and FPGA implementation of distribution matching. His labs focus on advancing optical communication technologies and interdisciplinary research in FORCE.

• Nano-optics
• Biophotonics
• Optical antennas
• +۷ مورد دیگر

Mikael Käll is a Professor of Nano- and Biophysics at Chalmers University of Technology. His research focuses on nano-optics, biophotonics, and plasmonic systems with applications in biosensors, nanorobotics, and optical manipulation. He leads a research group funded by the Swedish Research Council and the Knut and Alice Wallenberg Foundation. Research Interests : His work spans optical antennas, metasurfaces, thermoplasmonic effects, and light-driven nanomotors. Key areas include surface-enhanced Raman spectroscopy (SERS), nano-optical force engineering, and quantum light-matter interactions. Current projects explore directional fluid control via laser-induced bubbles and synchronized nanorotor systems. Grants & Funding : - Swedish Research Council grants for plasmonic biosensors and nanomotor systems - Wallenberg Foundation support for metamaterials and nano-optical devices - EU Horizon projects on light-driven nanoscale systems Labs & Teams : - Chalmers Nano-Photonics Lab (specializing in metasurface fabrication) - Biophotonics Group (developing single-molecule detection tools) - Nanorobotics Team (designing light-powered micromachines)

• Marine Environmental Chemistry
• Microplastics and Nanoplastics
• Pollution Dynamics
• +۳ مورد دیگر

Martin Hassellöv is a Professor at the Department of Marine Sciences, University of Gothenburg. His research focuses on marine environmental nanochemistry, particularly the study of marine pollution in solid forms, including microplastics, nanoparticles, and their interactions with ecosystems. He leads a research group investigating pollution dynamics across scales, from nanometer-level processes to ecosystem-wide impacts. Key interests include ocean acidification, climate change effects, and pollution sources like shipping, road runoff, and industrial emissions. His work bridges analytical chemistry, environmental toxicology, and modeling. Notable contributions include studies on microplastic distribution in Arctic waters, ship-induced turbulence effects, and nanoparticle behavior in aquatic environments. He collaborates internationally on projects like the NanoFASE initiative, addressing nanomaterial fate and policy frameworks for plastic debris categorization. Publications highlight innovative methods for microplastic analysis (e.g., deep learning for spectral reconstruction) and interdisciplinary approaches to pollution monitoring. His research underscores urgent environmental challenges like exceeding planetary boundaries for novel entities (e.g., synthetic pollutants). Martin advises on policy-relevant topics, such as marine litter management and sustainable shipping practices. He has developed protocols for microplastic extraction from tissues and sediments, enhancing global monitoring capabilities.

• Nuclear Reactor Modelling
• Neutron Transport
• Fluid Dynamics
• +۴ مورد دیگر

Christophe Demazière is a Professor at Chalmers University of Technology, leading the DREAM task force focused on deterministic reactor modelling. His work integrates neutron transport, fluid dynamics, and numerical methods to advance nuclear reactor simulation tools and safety. He teaches courses on nuclear reactor physics, emphasizing multi-physical and multi-scale system analysis. Active in pedagogical innovation, he co-leads the GRE@ T-PIONEeR project promoting hybrid/flipped learning methods in nuclear education. Research interests span reactor noise analysis for core diagnostics, machine learning applications in nuclear data analysis, and cross-disciplinary collaboration via projects like CORTEX and McSAFER. Member of the American Nuclear Society, he publishes extensively on topics including neutron noise simulations, educational technology, and advanced reactor verification schemes. Notable contributions include development of the CORE SIM+ solver for neutron noise simulations and validation studies using zero-power reactors like AKR-2. His work bridges academic research with industrial needs through partnerships focused on workforce development and knowledge management in the nuclear sector.

Sudhanshu Kutheمشاهده پروفایل

پژوهشگر

• Advanced Processing
• Augmented Reality
• DFT
• +۵ مورد دیگر

Sudhanshu Kuthe is a postdoctoral researcher at KTH Royal Institute of Technology, Sweden, affiliated with the Department of Materials Science and Engineering (MSE) within the School of Industrial Technology and Management (ITM). He holds a PhD and Master’s in Materials Science and Engineering from KTH, with a Swiss-European mobility grant enabling research at ETH Zurich’s Laboratory of Composite Materials and Adaptive Structures (CMAS). His work focuses on digitalizing metallurgical processes, particularly within EU projects such as INEVITABLE, HIYIELD, and MEDALS. Key research areas include advanced processing, Industry 4.0, DFT, and quantum computing. He has held roles as a PhD program representative (2020–2022) and PI of four projects under NAISS and EUROHPC. Teaching responsibilities include courses like Materials Processes I and Advanced Process Science. Active in networks like the Swedish Quantum Society and Swedish Mining Innovation PhD Student Network, he emphasizes interdisciplinary collaboration and innovation. Education: B.Tech in Metallurgical & Materials Engineering from VNIT Nagpur (India), followed by academic and research pursuits in Sweden. Notable contributions include 3D printing advancements, data-driven steelmaking optimization, and computational modeling of bulk metallic glasses. His research integrates cutting-edge technologies like machine learning and augmented reality to address industrial challenges. Professional activities include supervising courses and advising on projects, alongside publishing impactful work in materials processing and digitalization. His unique blend of academic rigor and industrial relevance positions him at the forefront of modern materials engineering.

• Metamaterials Design
• Aerospace Technology
• Acoustic Materials
• +۸ مورد دیگر

Huina Mao is an Assistant Professor at the Department of Engineering Mechanics, KTH Royal Institute of Technology. She works within the School of Aerospace, Maritime and Transport Engineering and focuses on metamaterials design and aerospace technology. Her research includes numerical modeling of acoustic metamaterials, inverse estimation methods, and sustainable structural design. She has contributed to projects like the AERIALIST initiative for noise reduction in turbofan nacelles and the SEAM project involving nanosatellite development. She teaches courses such as Experimental Structure Dynamics and Spacecraft Dynamics. Education: PhD in Engineering Mechanics from KTH (2017), post-doctoral research (2017-2021) focused on acoustic metamaterials and finite element modeling. Key research interests include metamaterials for aerospace applications, structural dynamics, and sustainable design. Her work integrates machine learning, 3D printing, and computational methods. Recent publications (2025-2020) emphasize structural identification frameworks, anisotropic metamaterials, and vibration suppression. She collaborates with industry via the KTH Industrial Transformation Platform. No scientific awards listed, but active in funded EU projects and academic-industry partnerships.

• Fatigue Analysis
• Materials Science
• Structural Mechanics
• +۴ مورد دیگر

Gustav Hultgren is a Postdoctoral Researcher at the Royal Institute of Technology (KTH), affiliated with the Department of Materials and Structural Mechanics. His work focuses on fatigue analysis, fracture mechanics, and the application of machine learning in engineering mechanics. He teaches courses such as Advanced Design of Welded Structures (SD2420) and assists in Data-driven Methods in Engineering Mechanics (FSM3001 and SM2001). His research emphasizes probabilistic modeling of welded joints, material aging effects, and the integration of advanced manufacturing techniques like High-Frequency Mechanical Impact (HFMI). Research Interests: Fatigue analysis of welded joints, fracture mechanics of materials, machine learning for stress identification, probabilistic modeling of structural components, and material durability under cyclic loading. Publications highlight his contributions to understanding fatigue life prediction, weld geometry impacts, and the role of manufacturing defects in composite materials. His work bridges experimental measurements, numerical simulations, and data-driven approaches to improve structural reliability in engineering systems.

• Aeroacoustics
• Noise Control Engineering
• Signal Processing
• +۳ مورد دیگر

Elias Zea Marcano is an Assistant Professor of Engineering Acoustics at the Marcus Wallenberg Laboratory for Sound and Vibration Research (MWL) at KTH Royal Institute of Technology. His research focuses on noise source separation, aeroacoustics, room acoustics, sparse signal processing, and data-driven methods. He reviews for prominent journals like the Journal of the Acoustical Society of America and serves as a Guest Editor for the Journal of Theoretical and Computational Acoustics. His work is supported by the Swedish Research Council and the European Commission. He teaches courses such as Room Acoustics and Spatial Audio and has supervised numerous graduate students and postdocs in areas like sustainable aviation noise reduction and acoustic material characterization. He actively participates in international conferences and publishes cutting-edge research on topics such as fan noise measurement and data-driven speech enhancement.

• Vehicle Dynamics
• Autonomous Vehicles
• Fault-Tolerant Control
• +۳ مورد دیگر

Mikael Nybacka is an Associate Professor at the Department of Engineering Mechanics at KTH Royal Institute of Technology, specializing in Vehicle Dynamics. He leads the Research Concept Vehicles initiative within the Integrated Transport Research Lab (ITRL) and advises the KTH Formula Student team. His roles include Programme Director for the Master's Programme in Vehicle Engineering (2020–present) and Director of the TRENoP strategic research area (2022–2024). Education: PhD in Engineering (2009) from Luleå University of Technology, focusing on automotive winter testing technologies. Research Interests: Vehicle validation, autonomous vehicle systems, fault-tolerant control, urban vehicle concepts, and driver-vehicle interaction. Current projects include PREDICT (zero-emission vehicle validation), REDO2 (remote driving), and iCOMSA (vehicle dynamics evaluation). Publications Highlight: Recent work explores remote driving systems, autonomous path planning, and sensor-based vehicle control, emphasizing safety and efficiency in next-generation vehicles. Grants and Funding: Active in strategic initiatives like EIT Urban Mobility and SAFER Vehicle Safety Centre. Supervised over 10 PhD students, including graduates at Scania and Volvo Cars. Labs/Teams: Leads ITRL's research vehicles program and collaborates with industry partners in automotive innovation.

• Numerical Linear Algebra
• Data Assimilation
• Covariance Matrices
• +۳ مورد دیگر

Jemima M. Tabeart is an Assistant Professor at TU Eindhoven, affiliated with the Centre for Analysis, Scientific Computing and Applications . Her research focuses on numerical linear algebra, data assimilation, and covariance matrices. She actively contributes to outreach and scientific crafting, and advises students on final projects in computational science. Education: PhD (2016–2019): University of Reading (supervised by Prof. Sarah Dance and others) MRes (2015–2016): Mathematics of Planet Earth CDT (Imperial College London/Reading) MMath (2011–2015): University of Bath with study abroad at Université Grenoble Alpes Research Interests: Large-scale numerical linear algebra and its applications Development of efficient preconditioners for 4D-Var and data assimilation systems Treatment of covariance matrices in computational models Interdisciplinary applications in environmental and meteorological modeling Teaching & Leadership: Organizing a 2025 Research Semester Programme at CWI on numerical analysis and machine learning Teaching courses on calculus, linear algebra, and optimization at TU Eindhoven Co-lecturing the MasterMath course on Advanced Numerical Linear Algebra Professional Activities: Member of the 4TU.AMI SRI in Bridging Numerical Analysis and Machine Learning Principal investigator in a network funded by the INI Network Support for Mathematical Sciences Advocate for low-carbon travel, documenting her journeys on her blog

• Medical Imaging
• Artificial Intelligence
• Computational Biology
• +۳ مورد دیگر

Joana Palés I Huix is a Researcher (Industry doctoral student) at the Division of Computational Science and Technology, KTH Royal Institute of Technology. Her work focuses on interdisciplinary applications of artificial intelligence in medical imaging, computational biology, and biomechanics. She is affiliated with the Lindstedtsvägen 5 campus and can be contacted at joanaph@kth.se . Her research interests span AI-driven medical diagnostics, semi-supervised learning in pathology imaging, and genomic element prediction using deep learning. Recent projects include validation of AI models for ovarian cancer detection via ultrasound and developing marker-less biomechanical analysis protocols for pedaling motion. Her publications reflect a trend toward applying advanced machine learning techniques in healthcare contexts, including semi-supervised glomeruli segmentation and foundational model adaptions for medical image classification. No scientific awards are explicitly mentioned in the provided text. Though no advising or grant details are available, her doctoral work likely involves collaborations between academia and industry partners. Her affiliation with the Division of Computational Science and Technology suggests involvement in cross-disciplinary technological research initiatives.

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +۵ مورد دیگر

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.

• Muscle Physiology
• Environmental Physiology
• Orthopaedics
• +۷ مورد دیگر

Hans Berg is a Visiting Professor at Karolinska Institutet , affiliated with the Department of Physiology and Pharmacology and the Department of Clinical Science, Intervention and Technology. His research spans multiple domains including Muscle Physiology , Environmental Physiology , Orthopaedics , and Space Physiology . Expert in flywheel exercise technology for microgravity environments Pioneered research on muscle atrophy and bone loss in spaceflight and bedrest models Conducted international randomized clinical trials on fracture treatments Involved in machine learning applications for trauma mortality prediction Led translational research on small joint implants for cartilage lesions Recent publications highlight his work in: Trauma epidemiology (4/2024) Microgravity countermeasures (2023) Prosthetic device evaluation (2022) Fracture pattern analysis (2021-2023)