جست‌وجوی استاد و پژوهشگر

• 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.

Paula Federicoمشاهده پروفایل

استاد

• Mathematical Ecology
• Computational Ecology
• Population Dynamics
• +۳ مورد دیگر

Paula Federico serves as a Professor in the Department of Mathematics, Computer Science & Physics at Capital University, where she has been a faculty member since 2009 following postdoctoral positions at the University of Tennessee Knoxville and Ohio State University's Mathematical Biosciences Institute. Her teaching responsibilities include Calculus I, Calculus III, Differential Equations, Introduction to Computational Sciences, and Linear Algebra. Her academic credentials include: Ph.D. in Ecology and Evolutionary Biology from the University of Tennessee Graduate Certificate in Applied Statistics from the University of Tennessee B.Sc. in Mathematics from Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina Dr. Federico's research program centers on mathematical and computational ecology, with specific applications to population dynamics, natural resource conservation, epidemic/epizootic modeling, and animal movement behavior. She emphasizes mathematics' relevance across disciplines and seeks to reveal its inherent beauty to students, particularly mathematics majors. Analysis of her publication record reveals consistent focus on developing mathematical frameworks for ecological challenges, especially in spatio-temporal population modeling, habitat quality assessment for mobile species, and migratory network dynamics. These works typically involve large interdisciplinary collaborations addressing conservation biology and wildlife management. No scientific awards are documented in the provided materials. Information regarding graduate student advising, research grants, laboratory facilities, or administrative roles was not included in the source text.

Ocean Cheungمشاهده پروفایل

دانشیار

• Porous Materials
• Inorganic Chemistry
• Nanotechnology
• +۹ مورد دیگر

Ocean Cheung is an Associate Professor and Senior Lecturer at the Department of Materials Science and Engineering, Uppsala University, Sweden. He is affiliated with the Division of Nanotechnology and Functional Materials at the Ångström Laboratory, where he leads the 'Cheungsters' research group focused on functional porous materials. Associate Professor in Engineering Physics (Nanotechnology and Functional Materials), Uppsala University, 2020 PhD in Materials Chemistry, Stockholm University, 2014 MChem in Chemistry, University of Warwick, UK, 2009 His research spans the synthesis and application of inorganic porous materials, particularly targeting environmental and biomedical challenges. Key interests include sol-gel synthesis , drug delivery systems , water treatment , and carbon dioxide capture . His group explores both micro and mesoporous frameworks with functional properties. The publication record shows a strong trend toward multifunctional materials, integrating environmental remediation and biomedical engineering , with a focus on sustainability and practical applications. Research themes include CO₂ sorption, catalytic degradation, and responsive drug carriers using inorganic carbonates. Ocean Cheung has been recognized with prestigious awards: Swedish King Gustaf's 50th Birthday Award for Sciences, Engineering and Environment (2018) Oscar Prize for young scientists (2020) He has mentored students and researchers within his group and secured research funding for projects in nanotechnology and functional materials. His work involves collaborations across Europe, including past affiliations with Heriot-Watt University and Stockholm University. He actively promotes scientific discourse through the MOFCast podcast and maintains a strong digital presence. The Cheungsters group operates at the intersection of chemistry, materials science, and engineering, contributing to sustainable solutions for global challenges in health and environment.

Thijs W. van de Laarمشاهده پروفایل

استادیار

• Probabilistic Programming
• Active Inference
• Bayesian Signal Processing
• +۴ مورد دیگر

Thijs W. van de Laar is an Assistant Professor at the Eindhoven University of Technology in the Department of Electrical Engineering , affiliated with the Bayesian Intelligent Autonomous Systems lab (BIASlab) and the EAISI Foundational and High Tech Systems groups. His research focuses on intelligent systems for decision-making under dynamic conditions, particularly through scalable probabilistic programming implementations of Active Inference. Academic Background : PhD (2019, TU/e) in automated Bayesian signal processing algorithm design; MSc in natural sciences (biophysics, science communication, Radboud University). Van de Laar's research integrates probabilistic programming with active inference to develop autonomous agents capable of real-time adaptation. Key methodologies include variational message passing , factor graph representations , and free energy minimization . His recent publications examine active inference formalisms, factor graph applications in AI, and uncertainty reduction strategies. Collaborative work spans hearing aid technology, autonomous navigation, and synthetic intelligence development.

Edessa Negera Gobenaمشاهده پروفایل

مدرس ارشد

• Clinical Immunology
• Haematology
• Microbiology
• +۷ مورد دیگر

Dr Edessa Negera Gobena is a Senior Lecturer in Clinical Immunology & Haematology at the University of East London, School of Health, Sport and Bioscience. He holds qualifications in biology, clinical public health, microbiology, and public health, with a PhD in clinical immunology. BSc (Hons) Biology BSc (Clinical Public Health) MSc (Microbiology) MSc (Public Health) PhD (Clinical Immunology) His research spans infection and immunity, vaccine development, big data analysis, and tropical disease immunopathology. Key contributions include redefining the pathogenesis of Erythema Nodosum Leprosum (ENL) and developing leishmaniasis treatment guidelines for the WHO. His recent work involves machine learning applications in tick-borne disease ecology. Dr Gobena has published over 30 articles and secured grants from the Royal Society of Tropical Medicine, Homes and Hospitals of St Giles (UK), and Ethiopian Science and Technology. Awards include the Tore Godal prize for public health impact in Ethiopia. Key Research Areas: Tropical immunology, vaccine efficacy, immune regulation, computational epidemiology CURRENT RESEARCH: Regulatory T cells in ENL, tick abundance modeling, leishmaniasis outbreaks He leads modules in clinical immunology, haematology, and data analysis, and provides statistical support to researchers. His work bridges laboratory science and public health policy in low- and high-income countries.

Pawel Mordakaمشاهده پروفایل

پژوهشگر

• Plant Metabolism
• Synthetic Biology
• Chloroplast Engineering
• +۳ مورد دیگر

Dr. Pawel Mordaka is a Postdoctoral Research Associate in the Department of Plant Sciences at the University of Cambridge. His research focuses on synthetic biology, genetic engineering, and plant metabolism, with a particular emphasis on chloroplast engineering and metabolic pathway optimization in model organisms like Chlamydomonas reinhardtii and Clostridium . Department: Plant Sciences Academic Rank: Researcher Email: pmm63@cam.ac.uk His work spans synthetic biology tool development (e.g., CpPosNeg selection systems, Start-Stop DNA assembly), transgene regulation in chloroplasts, and bioengineering of microbial-plant interactions. Recent publications highlight advancements in genetic code compression, promoter engineering, and heterologous pathway reconstruction for biofuel and biocatalysis applications. Dr. Mordaka's research intersects molecular plant biology and industrial biotechnology, leveraging algal chloroplasts as testbeds for radical metabolic rewiring. His methodologies include VIGS protocols, PVX expression vectors, and terminator analysis to refine transgene expression. Contact: pmm63@cam.ac.uk

Chris Gilliganمشاهده پروفایل

استاد

• Plant Disease Epidemiology
• Mathematical Modeling of Disease Spread
• Food Security
• +۱۰ مورد دیگر

Professor Chris Gilligan serves as Director of Research and Head of the Epidemiology and Modelling Group within the Department of Plant Sciences at the University of Cambridge. A Fellow of King's College since 1988, Professor Gilligan has dedicated over 40 years to advancing mathematical approaches for plant disease control and food security. His leadership extends to trustee roles at Royal Botanic Gardens, Kew and the James Hutton Institute, demonstrating significant influence in botanical and agricultural policy spheres. ScD, University of Cambridge (1999) MA, University of Oxford (1978) MA, University of Cambridge (1977) DPhil Plant Pathology, Wolfson College, University of Oxford (1974-1978) BA Agricultural & Forest Sciences, Keble College, University of Oxford (1971-1974) Professor Gilligan's research program focuses on developing theoretical epidemiological frameworks to predict and control outbreaks of plant pathogens and pests within changing agricultural landscapes. His work addresses critical food security challenges through innovative modeling approaches that have been deployed across multiple continents. Current projects target desert locust population dynamics, wheat rust pathogens across Africa and Asia, and disease threats to staple crops including cassava, banana and citrus. His research integrates environmental change considerations with practical surveillance systems to mitigate risks to global food production. Analysis of Professor Gilligan's recent publications reveals a sophisticated integration of mathematical modeling with real-world agricultural challenges across diverse systems. His work spans from developing early warning systems for wheat rusts deployed in Ethiopia to creating transferable models for citrus greening in the U.S. and comprehensive frameworks for aflatoxin contamination throughout maize supply chains. A notable trend is the increasing sophistication of spatially-explicit models that incorporate climate variables and human activity patterns to predict disease spread with greater precision. These models demonstrate remarkable transferability across different crop-pathogen systems while maintaining scientific rigor. CBE for Services to Plant Pathology in the field of Epidemiology (2015) R.W. Holley Lecturer, Cornell University (2012) Professorial Research Fellow, BBSRC (2005-2010) Fisher Lecturer, Rothamsted Research (2009) Honorary Fellow, American Phytopathological Society (2005) Professor Gilligan's research has attracted substantial funding from major international organizations including the Bill and Melinda Gates Foundation and UK Foreign, Commonwealth and Development Office. His current program provides practical disease surveillance applications across 15 sub-Saharan African countries, Bangladesh and Nepal. The wheat rust early warning system developed through this work has been successfully implemented in Ethiopia through collaboration with the UK Met Office, CIMMYT and the Ethiopian Institute of Agricultural Research, with expansion underway in Kenya, Bangladesh and Nepal. His models have directly informed policy decisions by the UK Government, United States Department of Agriculture, and Australian authorities on emerging pest and pathogen threats. As leader of the Epidemiology and Modelling Group, Professor Gilligan directs a comprehensive research program organized around three major thematic areas: Orchard Crops (focusing on citrus greening and avocado viroid), Stored Foods (addressing aflatoxin contamination), and Forestry and Urban Trees (managing threats like ash dieback and oak processionary moth). The group's work integrates field data with sophisticated mathematical models to create practical tools for disease prediction and management. Their recent development of an animation showing cassava brown streak disease spread across Nigeria demonstrates the group's innovative approach to visualizing complex epidemiological dynamics for practical decision support.

Svetlana Ignatovaمشاهده پروفایل

دانشیار

• Separation and Purification Technologies
• Counter-Current Chromatography
• Downstream Processing
• +۳ مورد دیگر

Dr. Svetlana Ignatova is a Reader in Advanced Bioprocessing at Brunel University London, within the Department of Chemical Engineering in the College of Engineering, Design and Physical Sciences. With over 30 years of experience, she specializes in separation and purification technologies and instrument design, focusing on counter-current chromatography (CCC) technology development and scale-up from analytical to industrial applications. Her educational background includes: MChem in Separation Sciences from Moscow State University PhD in Separation Sciences from the Russian Academy of Sciences Dr. Ignatova's research focuses on improving speed, throughput, economy, resolution and efficiency of downstream processing for various materials including metal recovery, (bio)pharmaceuticals, natural products, and waste streams valorization. She has played a key role in developing CCC technology at Brunel's Advanced Bioprocessing Centre through projects for National Cancer Institute (USA), Pfizer, Syngenta, Shell and GSK. Her work employs novel approaches using bio-ionic liquids and deep eutectic solvents to develop sustainable separation processes. Her publication record demonstrates consistent contributions to separation science, showing progression from fundamental method development to industrial-scale implementation across pharmaceuticals, natural products, and bioprocessing. Recent work shows increasing focus on sustainable and cost-effective separation processes with applications in natural product extraction and biopharmaceutical manufacturing. Dr. Ignatova currently serves as Director of Teaching and Learning (since February 2018), previously holding roles as Senior Tutor (2018-2021) and Interim Head of Department (January-June 2022). She is a founding member of the Department of Chemical Engineering at Brunel University, where she has contributed significantly to program development and accreditation. She leads research within the Bioprocess Engineering group and is affiliated with the Institute of Energy Futures and Health (IEHS) at Brunel. Her work connects strongly with industrial applications through the Advanced Bioprocessing Centre, facilitating technology transfer from academic research to commercial implementation.

Mathias Géryمشاهده پروفایل

مدرس

• Structured Information Retrieval
• Social Information Retrieval
• Multimedia Information Retrieval
• +۱ مورد دیگر

Mathias Géry is a Lecturer in Computer Science at Jean Monnet University, affiliated with the Computer Science Department within the Faculty of Science and Technology. He conducts research as a member of the Data Intelligence Group at the H. Curien Laboratory (UMR CNRS 5516) in Saint-Étienne, France. Research Focus: His work centers on advanced Information Retrieval systems, with four core pillars: Structured IR (specializing in textual IR, XML, hypertexts, and structured documents), Social IR (analyzing social networks and relationships), Multimedia IR (developing text-image fusion models and representation frameworks), and Web Mining (including usage analysis, corpus collection, and web analytics). His methodologies consistently integrate user profiles and social context to enhance personalized information access. Publication Trends: Recent publications (2015-2024) reveal a strong trajectory in personalized and social IR, with significant contributions to query expansion, language modeling, and social bookmarking systems. His interdisciplinary reach extends to health informatics (2024 RCT on sedentary adults), sports science (2023 gender-based endurance analysis), quantum physics (2021 turbulence study), and literary analysis (2019 Russian literature), demonstrating exceptional versatility across computational and humanities domains. Collaborative Environment: As an active researcher within the CNRS-affiliated H. Curien Laboratory, he contributes to the Data Intelligence Group's mission of advancing data-driven methodologies through structured, social, and multimodal approaches.

• Real-Time Embedded Systems
• Real-Time Scheduling
• Schedulability Analysis for single-core, multi-core, and networked systems
• +۶ مورد دیگر

Dr. Robert Davis is a Reader at the Real-Time Systems Research Group within the Department of Computer Science at the University of York, UK. He is renowned for his work in real-time embedded systems, particularly in scheduling theory and its applications to mixed-criticality and multi-core platforms. Current role: Reader, University of York Research group: Real-Time Systems Research Group Contact: Department of Computer Science, University of York, Deramore Lane, York YO10 5GH, UK Education DPhil in Computer Science, University of York (1995) Research Interests include real-time scheduling, mixed-criticality systems, cache-related preemption delays (CRPD), probabilistic real-time systems, and scheduling IDK classifiers. His work addresses the integration of schedulability analysis with worst-case execution time (WCET) analysis, focusing on systems with single-core, multi-core, and networked architectures. Article Trends show a focus on IDK classifiers, mixed-criticality systems, and multi-core schedulability. His recent work explores probabilistic timing, adaptive scheduling, and industry-driven real-time practices, often bridging theoretical analysis with industrial applications (e.g., automotive, avionics). Scientific Awards Outstanding paper at RTNS 2016, RTNS 2015, ECRTS 2015 Best paper at RTNS 2014, ECRTS 2011, RTCSA 2013 Influential paper award at RTNS 2017 Advising and Grants involve collaborations on European projects like HI-CLASS and MCC, and he has received funding from EPSRC and Inria International Chair. He co-founded three spin-out companies for technology transfer. Labs and Teams include the Real-Time Systems Research Group at York and collaborations with international institutions (e.g., Inria, France; NJIT, USA).

• Photonics
• Optics
• Laser Technology
• +۳ مورد دیگر

Dr. Michael Duparre is a Researcher at the Leibniz Institute of Photonic Technology, affiliated with the Fiber Photonics department. He is part of the Active Fiber Modules work group, focusing on advanced photonics and laser-matter interactions. His work involves designing binary diffractive optical elements for generating tailored 3D intensity distributions in optical trapping applications. In 2021, he co-authored research on vector optical bottle beams, demonstrating how polarization states can dynamically control laser radiation for applications in laser trapping and surface structuring. His contributions highlight expertise in paraxial optics and e-beam lithography manufacturing. Duparre’s technical work bridges theoretical modeling and experimental validation, with implications for laser manipulation technologies. His laboratory group, Active Fiber Modules, explores innovative photonic solutions for precision engineering tasks.

Szilvia Szeghalmyمشاهده پروفایل

مدرس

• Digital Image Processing
• Imbalanced Learning
• Machine Learning
• +۳ مورد دیگر

Dr. Szilvia Szeghalmy is a Lecturer at the University of Debrecen, Faculty of Informatics, Department of Computer Science. She can be contacted at +36 52 512 900 75116 or via email at szeghalmy.szilvia@inf.unideb.hu, located in room I116, floor 1 of the Faculty of Informatics building. Her research focuses on: Digital Image Processing Imbalanced Learning Recent publications highlight trends in: Imbalanced data handling and noise filtering techniques (2024) Medical imaging applications (2024) Driver-assistance systems and traffic sign recognition (2018-2019) Human-computer interaction using sensors (2013-2014)