جست‌وجوی استاد و پژوهشگر

• Internet of Things (IoT)
• Wireless Networks
• Quality of Service (QoS)
• +۷ مورد دیگر

Francisco M. Delicado is an Associate Professor in the Department of Sistemas Informáticos at Universidad de Castilla-La Mancha, Spain, where he has been employed since 2007. He earned his PhD in Computer System from the same institution, with his doctoral work beginning in 1999. His research spans several key areas in computer science and engineering, particularly focusing on Internet of Things (IoT) , Wireless Networks , Quality of Service (QoS) , and Environmental Monitoring . He has developed low-cost IoT ecosystems for detecting glyphosate in water and monitoring agrochemical spray drifts. Additionally, his work extends to medical IoT (IoMT), blockchain applications in e-government, and machine learning for vector monitoring. His recent publications show a strong trend toward applying IoT and machine learning to environmental and public health challenges. Earlier works focus on QoS mechanisms in wireless and mobile networks, including WiMAX (IEEE 802.16), TDMA/TDD, and HIPERLAN/2, with contributions to bandwidth allocation, contention resolution, and video transmission resilience. He has no listed scientific awards in the provided data. Francisco M. Delicado has collaborated extensively with researchers such as Teresa Olivares, Javier Aira, and Luis Orozco-Barbosa. While no formal advising roles or grants are mentioned, his long-standing publication record suggests active research leadership. There is no mention of specific labs or research teams, but his work implies involvement in networking and IoT-focused research groups at his university.

• Assistive Robotics
• Rehabilitation Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Viviane Pasqui is a Lecturer and researcher at Sorbonne Université, affiliated with the Institute of Intelligent Systems and Robotics (ISIR), where she is a member of the ASIMOV research team. Her work focuses on assistive and rehabilitation robotics, particularly technologies for elderly support and mobility assistance. Her research interests include assistive robotics, rehabilitation engineering, human-robot interaction, smart walkers, postural stability, gait analysis, and gerontechnology. She has conducted extensive research on mobility assistance devices, including sit-to-stand support systems and intelligent walking aids, with an emphasis on user-centered design and clinical validation. The 15 most recent publications highlight a consistent focus on robotic assistance for rehabilitation and elderly care, with recurring themes in human motion modeling, transparency in control, real-time monitoring, and evaluation of assistive devices. Her work integrates robotics, biomechanics, and clinical insights to develop practical solutions for mobility challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no mention of students, advising roles, or research grants in the provided information. However, her long-standing collaboration with multidisciplinary teams suggests active participation in funded research projects, particularly in robotics and biomedical engineering. Labs and Teams: Viviane Pasqui is a core member of the ASIMOV team at ISIR, which specializes in assistive robotics and human-robot interaction. The team develops innovative robotic systems for rehabilitation and daily living support, combining engineering, medical, and human factors expertise.

Simon Leglaiveمشاهده پروفایل

استادیار

• Audio Signal Processing
• Machine Learning
• Speech Enhancement
• +۷ مورد دیگر

Simon Leglaive is a tenured Assistant Professor at CentraleSupélec in Rennes, France, and a researcher in the AIMAC team at the IETR laboratory (CNRS UMR 6164). He holds a PhD in Audio Signal Processing from Télécom Paris (2017), and previously served as a postdoctoral researcher at Inria Grenoble Rhône-Alpes. His academic affiliations include CentraleSupélec, Télécom Paris, and CNRS, with research collaborations across institutions including Inria, GIPSA-lab, and Sorbonne University. His research focuses on the intersection of signal processing and machine learning, particularly for audio and speech applications. Key areas include probabilistic generative models, deep learning, low-dimensional representation learning, and weakly or semi-supervised learning. His work enables advanced multimodal machine perception tasks such as speech enhancement, audiovisual speech analysis, and human mesh recovery. He teaches machine learning, deep learning, and audio signal processing at CentraleSupélec. The 15 most recent publications highlight a strong trend in deep generative modeling, especially using variational autoencoders (VAEs) and masked autoencoders, for tasks like speech enhancement, source separation, emotion recognition, and human pose recovery. There is a clear emphasis on disentangled and interpretable latent representations, multimodal fusion, and unsupervised or weakly supervised methods. Applications span from speech technology to computer vision, reflecting a cross-disciplinary approach centered on fundamental representation learning. Coordinator and Principal Investigator, DEGREASE project (ANR-23-CE23-0009) Partner, DEESSE project (ANR-24-CE23-2229) Elected member, IEEE AASP Technical Committee (2023–2025) Organizing committee, CHiME-7 UDASE challenge (2023) Conference area chair, ICASSP (2024, 2025), WASPAA (2023, 2025) Simon Leglaive advises multiple PhD students and has served on the IETR laboratory council since 2022. His academic service includes extensive reviewing for top journals and conferences in signal processing and machine learning. His research is supported by competitive grants from the French National Research Agency (ANR). He is actively involved in collaborative research through the AIMAC team at IETR and partnerships with Inria and industry labs.

• Mechanical Engineering
• Railway Systems
• Multibody Dynamics
• +۳ مورد دیگر

Eduardo Corral Abad is an Associate Professor in the Department of Mechanical Engineering at Carlos III University of Madrid, specializing in multibody dynamics, railway systems, and contact mechanics. His research spans industrial heritage, vibration analysis, and educational technology. Railway axle monitoring and crack detection using advanced signal processing Dynamic modeling of mechanical systems with nonlinear contact and friction forces Development of interactive teaching applications for engineering education Use of parallel computing and GPU acceleration in mechanical simulations His contact email is eduardo.corral@uc3m.es . Recent work includes publications on railway diagnostics, helical gear transmissions, and Android-based educational tools.

• Movement Disorders
• Myoclonus
• Tremor
• +۵ مورد دیگر

Dr. Jan Willem Elting is a researcher at the University of Groningen's Faculty of Medical Sciences, specializing in movement disorders and neurological conditions. His work focuses on understanding the mechanisms and developing diagnostic tools for conditions such as myoclonus, tremor, dystonia, and cerebral autoregulation disorders, contributing to several UN Sustainable Development Goals related to health and well-being. His primary research interests include: Myoclonus and other movement disorders Tremor analysis and classification using advanced technologies Cerebral autoregulation and brain blood flow dynamics Application of machine learning in neurological diagnosis Dystonia and deep brain stimulation efficacy Neurophysiological testing methodologies Dr. Elting's recent publications demonstrate a strong trend toward integrating machine learning techniques with traditional neurological assessment methods. His work bridges computational approaches and clinical neurology, particularly in the classification and diagnosis of movement disorders. He has made significant contributions to understanding benign idiopathic myoclonus as a distinct clinical entity and exploring viral associations with movement disorders in children. His research employs various methodologies including accelerometry, near-infrared spectroscopy, and neurophysiological testing to quantify movement abnormalities. His scientific achievements have been recognized with: Publication Price 2018 for established researchers (awarded March 2019) Top 5 best publications in 2018 by the Journal of the American Society of Nephrology Dr. Elting actively contributes to academic mentoring, currently serving as co-supervisor for PhD student Celina Brunsch. His research has received significant attention, being picked up by 9 news outlets, blogged about by 2 sources, and referenced by multiple Bluesky users and Mendeley readers. He has presented his work at numerous academic conferences, focusing on tremor quantification using accelerometry in Parkinson's disease patients. His work is conducted within research groups focused on movement disorders and neurological diagnostics, collaborating with experts in neurology, machine learning, and clinical research. His fingerprint analysis shows strong expertise in myoclonus (100%), tremor (80%), cerebral autoregulation (64%), autoregulation (47%), brain blood flow (47%), subarachnoid hemorrhage (46%), dystonia (46%), and near-infrared spectroscopy (44%).

Jaime Camelioمشاهده پروفایل

استاد

• Cyber-Physical Systems Security
• Smart Manufacturing
• Statistical Process Control
• +۷ مورد دیگر

Jaime Camelio is a Professor at the University of Georgia's School of Electrical & Computer Engineering, specializing in cyber-physical systems security, smart manufacturing, and statistical process control. His work integrates advanced technologies like machine learning, reinforcement learning, and Bayesian inference to enhance manufacturing resilience and safety. He focuses on vulnerabilities in production systems, digital twin applications, and data-driven quality control. His research spans aerospace composites, IIoT-enabled worker well-being monitoring, and synthetic data frameworks for manufacturing simulations. Research interests include cybersecurity in additive manufacturing, occupational safety monitoring via statistical control charts, and innovative approaches to fault detection in assembly systems. He leads projects funded by NSF CPS initiatives, such as collaborative research on manufacturing security and cyber-physical vulnerability assessments. His work bridges theoretical advancements with real-world applications in aerospace, automotive, and industrial IoT sectors. Scientific contributions include frameworks for digital thread integration in product lifecycle management and NURBS-based statistical monitoring of manufacturing surfaces. Publications emphasize both technical innovations and systemic risk mitigation strategies for modern manufacturing ecosystems. His lab explores cutting-edge topics like LLM applications in manufacturing workflows and random sampling strategies to counteract cyber-physical attacks.

Katie Skinnerمشاهده پروفایل

استادیار

• Field Robotics
• Underwater Robotics
• Space Robotics
• +۵ مورد دیگر

Prof. Katie Skinner is an Assistant Professor of Robotics at the University of Michigan, leading the Field Robotics Group (FRoG). Her research focuses on enabling autonomy in dynamic environments through advancements in perception, multi-sensor fusion, and robot learning. She specializes in underwater and space robotics, with applications in marine archaeology, autonomous vehicles, and planetary exploration. Her work has led to innovations in sonar-based perception, underwater SLAM, and neural radiance fields for 3D reconstruction. She has secured prestigious grants, including the NSF CAREER Award, and actively mentors PhD students like Advaith Sethuraman and Anja Sheppard. Prof. Skinner collaborates with institutions such as NOAA and NASA, contributing to real-world field deployments like the Thunder Bay National Marine Sanctuary surveys. The FRoG lab has developed datasets like AI4Shipwrecks, advancing machine learning for underwater exploration. Her educational background and prior roles are not explicitly detailed in the provided texts, but her extensive conference presentations (IROS, CVPR, ICRA) and leadership in major robotics initiatives underscore her expertise. She emphasizes bridging simulation and real-world deployments, with recent work on GPU-accelerated underwater simulation frameworks (OceanSim) and radar/sonar fusion techniques. Her lab’s contributions span both theoretical advancements and practical tools for autonomous systems in challenging environments. Awards: NSF CAREER Grant Key Collaborations: NOAA Ocean Exploration Program, Thunder Bay National Marine Sanctuary Labs/Teams: University of Michigan Field Robotics Group (FRoG)

Linda Bjedovمشاهده پروفایل

دانشیار

• Forest Protection
• Forest Rodents
• Population Dynamics
• +۳ مورد دیگر

Linda Bjedov is an Associate Professor at the Faculty of Forestry and Wood Technology, University of Zagreb. She holds a PhD and has conducted postdoctoral research since 2015. Her professional career spans over 15 years in academic and applied research roles, including work on the Biodiversity Project Ötscher at BOKU (Vienna). She currently teaches courses on zoonoses and animal behavior in natural and urban habitats. Her research focuses on forest protection with emphasis on rodent population dynamics, zoonotic diseases (e.g., hantavirus, tick-borne encephalitis), and wildlife management. Key areas include monitoring of invasive species like beavers and small rodents, as well as studying their ecological and public health impacts. Recent work emphasizes Tick-Borne Encephalitis epidemiology, rodent-borne zoonoses, and conservation strategies for endangered small mammals like the Balkan Snow Vole. She has pioneered methodologies for monitoring forest dormice and evaluating rodent damage prevention measures in Croatian forests. Her publications highlight interdisciplinary approaches combining ecology, virology, and wildlife management. Notable projects include long-term rodent population monitoring in state forests and studies on public perception of beaver reintroduction programs.

Dijana Petrovskaمشاهده پروفایل

مدرس

• Biometrics
• Speech Processing
• Computer Vision
• +۳ مورد دیگر

Dijana Petrovska is a Lecturer at Telecom SudParis, part of the Université Paris-Saclay. Her work focuses on biometric systems, medical diagnostics, and privacy-preserving technologies. She has contributed to projects like the EMPATHIC Virtual Coach, aimed at improving elderly health through AI-driven virtual assistants. Her research interests include facial recognition, speech processing, and cryptographic key regeneration using biometrics. Notably, she has pioneered methodologies for early-stage Parkinson's disease detection via facial action units and voice analysis. She also explores secure authentication systems combining biometrics with cryptography, emphasizing privacy preservation. Publications span over two decades, with recent work emphasizing cross-disciplinary applications of AI in healthcare and security. While no specific academic awards are listed, her impactful contributions to the field of biometric and medical AI are evident through her prolific publication record and active project leadership. Her involvement in collaborative projects like SpeechXRays and EMPATHIC demonstrates a commitment to bridging technical innovation with real-world societal needs. Though no student advisees are listed, her work likely impacts both academic and industry research ecosystems.

• Mathematical Modeling
• Microfluidics
• Gene Regulatory Networks
• +۷ مورد دیگر

Claudiu Vasile Giuraniuc is a Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, where he has been actively contributing since 2010. His interdisciplinary research bridges physics, biology, and computational modeling, with a strong emphasis on microfluidics, gene regulatory networks, and medical image analysis. BSc in Physics, “Al.I. Cuza” University, Iasi, Romania MSc in Physics, Lille 1 University, France PhD in Physics, Katholieke Universiteit Leuven, Belgium (2006) His research focuses on mathematical modeling of biological systems , particularly in developmental biology and microbial pathogenesis. He applies microfluidics and lab-on-a-chip technologies to study cellular behavior under dynamic conditions, including chemical gradients and electrical stimulation. His work in gene regulatory networks and Wnt signaling has provided insights into embryogenesis and tissue development. Additionally, he contributes to orthopedic research through statistical shape modeling of the hip joint and its relation to osteoarthritis. The 15 most recent publications reflect a strong trend toward interdisciplinary systems biology , combining experimental microfluidics with computational modeling. Key themes include cell signaling dynamics , developmental morphogenesis , genetic regulation of bone shape , and synthetic biology applications . The work spans from fundamental physics-based models to translational biomedical research. Scientific contributions are recognized through publications in high-impact journals such as eLife , mBio , and Journal of Bone and Mineral Research . Notable collaborations include work with researchers in immunology, orthopedics, and synthetic biology. As a Principal Investigator, he has led projects such as Microfluidic tools for personalized medicine (NHS Endowment grant) and industry partnerships with ibidi® . He has also served as Co-Investigator on grants related to nanoparticle-embedded membranes and nerve-muscle co-cultures. He mentors research through collaborative projects, though no formal students are listed. His lab integrates microfluidic culture systems , mathematical modeling , and image analysis pipelines to study complex biological phenomena across scales.

• Infectious Diseases
• Immunology
• Tick-borne Diseases
• +۴ مورد دیگر

Alexia Belperron is an Associate Dean of Science and QR Education in Yale College, serving as a Research Scientist in Rheumatology, Instructor in Molecular Biophysics & Biochemistry, and Lecturer in Molecular, Cellular & Developmental Biology at Yale School of Medicine. Her research focuses on Lyme disease and tick-borne infections, with expertise in immune responses, spirochete motility, and diagnostic development. She holds a PhD from Dartmouth College (1998) and a BS from Cornell University (1990). Education: PhD in Biochemistry, Dartmouth College, 1998 BS in Biochemistry and Business Management, Cornell University, 1990 Research Interests: Investigates immune responses to Borrelia burgdorferi, spirochete biomechanics using optical tweezers, and diagnostic innovations for Lyme disease. Collaborates with engineering and physics departments on spirochete movement studies and with L2 Diagnostics on testing advancements. Explores other tick-borne pathogens like Babesia and Borrelia miyamotoi. Labs/Teams: Uses intra-vital microscopy and optical tweezers in collaboration with the Dufresne Lab. Active in interdisciplinary teams studying vector-borne diseases and immunology.

• Control Engineering
• Electric Drive Technology
• Power Electronics
• +۴ مورد دیگر

Prof. Dr.-Ing. Rudolf Mecke is a Professor of Control Engineering and Electrical Drives at Harz University of Applied Sciences since 2006. His affiliations include the Faculty of Automation and Information and the Department of Automation and Computer Science. Studied Electrical Engineering at Otto von Guericke University Magdeburg (1985–1990) Doctorate in Electrical Engineering (1995) focusing on stator flux-oriented control Research interests span control engineering , electric drive technology , power electronics , and energy conversion/storage . Key contributions include: Dynamic control systems for three-phase drives Model-based state variable determination Inductive contactless power transmission Energy-efficient control strategies Power converter topologies for renewable energy EMC analysis for industrial systems His publications focus on power electronics, wireless energy transfer, and efficiency optimization. Recent work includes multilevel inverters and SiC/GaN semiconductor applications. Research groups under his supervision explored topics like: Contactless energy transmission systems PWM inverter topologies Rotor flux control in induction machines Converter integration in PV/wind systems EMC behavior of IGBT systems High-frequency drive analysis

Matthias Labrenzمشاهده پروفایل

استاد

• Microbial Ecology
• Bacterial Taxonomy
• Microplastics Pollution
• +۳ مورد دیگر

Prof. Dr. Matthias Labrenz is a Professor at the University of Rostock and heads the Environmental Microbiology working group at the Leibniz Institute for Baltic Sea Research (IOW) in Rostock, Germany. He holds a Diplom in Biology (1995) and a PhD (1999) from Christian-Albrechts-University Kiel, followed by postdoctoral research at the University of Wisconsin-Madison and the German Research Center for Biotechnology. He completed his Habilitation in Microbiology at the University of Rostock in 2008. His research focuses on: Microbial diversity in extreme environments Microplastics pollution and environmental impacts Pathogenic Vibrio ecology in the Baltic Sea Bacterial taxonomy and biogeochemical cycling Development of in situ microbial technologies Labrenz leads major projects including OTC-Genomics (BMBF) for environmental DNA monitoring and BaltVib (EU) on pathogenic Vibrio control. He has published extensively on microbial responses to pollutants, nutrient cycling in redox zones, and microplastic-biofilm interactions. He directs IOW's genetic engineering facility and oversees doctoral researchers in microbial ecology. His group develops innovative methods like microplastic immobilization techniques and autonomous sampling systems.

• Connected and automated vehicles
• Electric vehicles
• Vehicle dynamics
• +۵ مورد دیگر

Aldo Sorniotti is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino . He serves as a Scientific Responsible for multiple research projects and leads academic advising for Automotive Engineering programs. His work spans connected and automated vehicles, electric vehicle systems, and advanced vehicle dynamics control. Current research focuses on model predictive control and adaptive control strategies for electric powertrains, autonomous driving, and sustainable mobility solutions. Key projects include EFFEREST (2024-2026) for energy management and CliMAFlux (2024-2026) on axial flux motor drives. His 15 most recent publications (2023-2025) emphasize predictive control algorithms , traction systems , and energy efficiency in electric vehicles, with applications in tire technology, suspension systems, and V2X connectivity. Award highlights include patents like the Traction control system with road preview information . He supervises PhD students in mechanical engineering and contributes to curriculum development in autonomous vehicle technologies.

Holm Zaehresمشاهده پروفایل

مدرس ارشد

• Stem Cell Engineering
• Induced Pluripotent Stem Cells (iPS)
• Neural Differentiation
• +۳ مورد دیگر

Holm Zaehres is a Senior Lecturer at the Max Planck Institute for Molecular Biomedicine in Münster, Germany, leading the Stem Cell Engineering Laboratory . His work focuses on reprogramming somatic cells to pluripotency using transcription factors like OCT4, SOX2, and KLF4, with significant contributions to induced pluripotent stem (iPS) cell generation from neural and hematopoietic progenitors. Key Research Areas: Stem cell engineering, iPS cell differentiation, genome editing, and disease modeling (including Frontotemporal Dementia and Duchenne Muscular Dystrophy). Publications: Authored 10+ seminal works in Nature , Cell , and Stem Cells , establishing methods for efficient cellular reprogramming and organoid-based disease studies. Collaborations: Partnered with institutions like University of Bonn, German Cancer Research Center (DKFZ), and academic hospitals in neurology and hematology.