جست‌وجوی استاد و پژوهشگر

• Pharmaceutical Analysis
• Biomedical Analysis
• Medicinal Chemistry
• +۵ مورد دیگر

Prof. Tomasz Bączek is a Professor and Head of the Department of Pharmaceutical Chemistry at the Medical University of Gdańsk since 2009. He previously served as Vice-Dean (2008–2012) and Vice-Rector for Science (2012–2020). He holds a PhD (2001) and habilitation (2007) from the Medical University of Gdańsk, becoming a full professor in 2014. His research focuses on pharmaceutical and biomedical analysis, medicinal chemistry, and proteomics, with over 200 publications (h-index 27). Education & Career: Bachelor's: Faculty of Pharmacy, Medical University of Gdańsk (1998) PhD: Supervised by Prof. Roman Kaliszan (2001) Habilitation in Pharmaceutical Analysis (2007) Postdoc at Northeastern University, USA (2002–2003) Research Interests: Prof. Bączek’s work centers on analytical methodologies for drug development, including nanotechnology applications, biomaterials, and clinical diagnostics. Key areas include: Nanoparticle-based drug delivery systems 3D-printed devices for sample preparation Biomedical analysis of hormones and metabolites Therapeutic monitoring of anticancer drugs Teams & Collaborations: Member of research teams: PRA 2: Cardiovascular regulation in health and disease PRA 3: Mass spectrometry and NMR analysis for metabolic studies He has led 6 projects, filed 10 patents, and advised 8 promoted theses. His work bridges analytical chemistry with clinical and biomedical applications, emphasizing innovation in drug analysis and diagnostic tools.

• Artificial Intelligence
• Machine Learning
• Multi-agent Systems
• +۶ مورد دیگر

Leandro Soriano Marcolino is a Lecturer (Assistant Professor) in Data Engineering at Lancaster University's Computing and Communications Department. He holds a PhD from the University of Southern California (USC), advised by Milind Tambe, and completed his master's in Japan under a Monbukagakusho Scholarship and his undergraduate studies at Universidade Federal de Minas Gerais in Brazil, where he graduated with top honors. His research focuses on multi-agent systems, machine learning, and robotics, emphasizing teamwork, online learning, and real-world applications in domains like swarm robotics, computer games, and architectural design. Education: PhD in Computer Science, University of Southern California (USC), 2016 Master's Degree in Japan (Monbukagakusho Scholarship) Undergraduate Degree in Computer Science, Universidade Federal de Minas Gerais (Brazil), 2009 Research Interests: Multi-agent teamwork and coordination Online learning and planning Robotics (swarm robotics, real-time strategy games) Applications in computer vision, social networks, and bioinformatics Highlights: Recipient of the Best Dissertation and Best Research Assistant Awards at USC (2016, 2015) Best Paper Nomination at AAMAS 2011 and Best Undergraduate Paper in Brazil (2009) Active in PhD supervision, mentoring students in AI, multi-agent systems, and robotics Co-founder of the COLAB research group at Lancaster University Labs/Teams: Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRAS), LIRA - Fundamentals, SCC (Data Science).

• Network Security
• Cyber Security for Operational Technologies (OT)
• Industrial Control Systems (ICS)
• +۷ مورد دیگر

Dr. Kieran McLaughlin is a Reader at Queen's University Belfast, leading research in cyber security for operational technologies (OT), including smart grids and industrial control systems (ICS). He focuses on threat analysis, intrusion detection/prevention, and digital twins for incident response. His work addresses SCADA systems, ICS protocols (e.g., IEC61850), and cyber-physical resilience. He leads projects like XANDAR (H2020) and CAPRICA, and collaborates with UK's RITICS institute. He teaches Network Security (CSC3064) and actively publishes in top-tier venues. His research spans over 100 publications, with recent focus on digital twins, AI-driven malware detection, and secure IoT communications. Projects include EU-funded initiatives targeting critical infrastructure security and embedded system safety. He advises on cybersecurity for energy sectors and contributes to global standards like DO-326A for avionics systems. Key areas of innovation include deception platforms using digital twins, lightweight AI for IoT security, and blockchain-based predictive maintenance in vehicular networks. His work integrates machine learning for automated response and explores novel networking architectures (e.g., Named Data Networking) to enhance security.

Peter H. Veltinkمشاهده پروفایل

استاد

• Biomechatronics
• Neural Engineering
• Rehabilitation Medicine
• +۷ مورد دیگر

Professor Peter H. Veltink is a faculty member at the University of Twente, Netherlands, serving as vice-dean of research for the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). He leads the Biomedical Signals and Systems Group, focusing on biomechatronics, neural engineering, and rehabilitation technologies. His academic career includes a B.Sc., M.Sc. (cum laude), and Ph.D. from the University of Twente, with sabbaticals at Case Western Reserve University and Aalborg University. Research Interests: Biomechatronics and artificial motor control systems Ambulatory sensing for human movement analysis Neurostimulation techniques for neuromodulation Development of wearable sensors for clinical applications Leadership & Projects: Coordinator of major EU projects including INTERACTION (FP7), eNHANCE (H2020), and training networks like ARNESCO. Currently coordinates STW projects PowerSensor and MiniSens, and participates in Symbionics and neuroCIMT programs. Has supervised 42 Ph.D. students with an H-index of 62. Awards & Recognition: Royal Shell Stimulating Prize (1997) for rehabilitation engineering contributions, Adjunct Professor at Northwestern University (since 2015), and Decade of Partnership Award from Xsens (2010). Publications: Over 140 peer-reviewed journal articles and numerous conference papers, with leadership roles at IEEE Transactions on Neural Systems & Rehabilitation Engineering and the International Functional Electrical Stimulation Society (IFESS). Current Focus: Advancing wearable sensor technologies for gait analysis, clinical decision-making in ACL rehabilitation, and improving neurostimulation therapies for chronic conditions like cluster headaches.

Badulescu Cameliaمشاهده پروفایل

دانشیار

• Environmental Engineering
• Waste Management
• Circular Economy
• +۵ مورد دیگر

Associate Professor Dr. Camelia Badulescu is affiliated with the Department of Environmental Engineering and Geology at the Faculty of Mining, University of Petroșani. Her work focuses on environmental engineering, waste valorization, biotechnology applications in mineral processing, and sustainable development. She specializes in industrial waste management, circular economy strategies, and pollution control technologies. Research interests include coal desulphuration, heavy metal extraction from industrial byproducts, water treatment methodologies, and the ecological conversion of mining residues. Her work bridges environmental science with practical industrial solutions, emphasizing resource recovery and sustainable practices. Key research trends across her publications include: (1) innovative techniques for waste-to-resource conversion, (2) microbial applications in mineral processing, (3) advanced water treatment systems for industrial effluents, and (4) cross-sectoral approaches to circular economy implementation. These studies often involve interdisciplinary collaborations addressing regional environmental challenges like Jiu Valley mining pollution. No scientific awards have been listed in available materials. Her teaching includes laboratory指导 for water, air, and soil analysis, reflecting her commitment to practical environmental education. While no specific grants or advising data is provided, her extensive publication record indicates active involvement in applied research projects related to mining waste management and energy sustainability. Her work contributes to both academic and industrial sectors through innovations in ecological brick production, FGD gypsum agricultural use, and alternative energy systems from waste materials. Current research likely continues exploring synergies between environmental protection and industrial efficiency in mining regions.

Sabrina Thaiمشاهده پروفایل

دانشیار

• Social Psychology
• Social Cognition
• Close Relationships
• +۷ مورد دیگر

Sabrina Thai is an Associate Professor in the Department of Psychology at Brock University, located in the Faculty of Social Sciences. Her research focuses on how people think about themselves and their close relationships, particularly in the context of social comparisons. Institution: Brock University Department: Department of Psychology Faculty: Faculty of Social Sciences Office: MCB 306 Contact: 905 688 5550 x4112 Her research explores how individuals respond to social comparisons within romantic, familial, and friendship relationships, and how these comparisons affect emotional well-being and relational dynamics. She employs a multi-method approach, integrating experimental, correlational, implicit, dyadic, and experience sampling methods to capture psychological processes in daily life. The recent publications and thesis defenses associated with her lab indicate ongoing research activity in social cognition and relationship science. Her work often investigates motivational aspects of cognition and how real-time data collection methods can enhance understanding of interpersonal dynamics. She is also interested in methodological innovation for studying psychological phenomena in naturalistic settings. Sabrina Thai supervises graduate students and leads the SCRAM Lab (Social Cognition and Relationships in Action and Measurement), which focuses on empirical studies of social comparison and relational well-being. She has contributed to research showing long-term benefits of maternal mental health interventions on infant outcomes. While no specific awards are listed in the provided text, her designation in impactful work and ongoing research suggest recognition within the academic community. She is actively involved in mentoring students, securing research funding, and disseminating findings through publications and academic events. Her lab uses innovative tools like experience sampling to study emotions and thoughts in real time. Future research directions likely include expanding the use of ecological momentary assessment and exploring cross-cultural aspects of relationship comparisons.

• Food Safety
• Analytical Chemistry
• Biosensors
• +۷ مورد دیگر

Natasha Logan is a Research Fellow at the Queen's University Belfast, School of Biological Sciences , specializing in food safety and contaminant detection. She employs advanced analytical techniques like Surface-Enhanced Raman Spectroscopy (SERS) , mass spectrometry , and chemometrics for rapid screening of mycotoxins, pesticides, and heavy metals in food and environmental samples. Her work integrates machine learning for geographical origin discrimination of black tea and Halloumi cheese authentication. Key Research Areas: Mycotoxin detection in agricultural products Mercury ion sensing via nanozymes Handheld spectrometry for in-field analysis Food fraud prevention (e.g., Sudan dye in palm oil) Hyperspectral imaging for beef maturity assessment Recent Publications focus on LC-QToF mass spectrometry for tea origin identification, SERS for pesticide analysis in rice, and chemometric modeling for cheese species authentication. Awards include a Lean Launch Program grant (2020) and multiple Safefood travel fellowships (2017, 2018). Scientific Awards: Food Safety & Nutrition Symposium 1st Place (£700) Lean Launch Program (£2655 fee + £1000 research funding) Safefood Training Fellowships (£2000 x2) Logan actively contributes to peer-review (e.g., Microchimica Acta , Nature Scientific Reports ) and participates in international conferences like the 45th Mycotoxin Workshop (2024) and World Mycotoxin Forum (2023). Her work addresses sustainable food systems through contaminant mitigation.

• Environmental Science
• Plant Physiology
• Toxicology
• +۵ مورد دیگر

Professor Sławomir Dresler is a faculty member at the Faculty of Biology and Biotechnology, University of Maria Curie-Skłodowska (UMCS), Poland. He works in the Department of Plant Physiology and Biophysics, focusing on environmental stress impacts on plants and analytical chemistry methodologies. His research interests include: Heavy metal toxicity and plant adaptation Antioxidant responses in metal-stressed organisms Development of electrophoretic and spectroscopic analytical methods Chemometric profiling of plant populations Phytochemical analysis of medicinal species Recent publications highlight his work on: Metal-induced oxidative stress mechanisms in lichens and plants Capillary electrophoresis for coumarin and furanocoumarin analysis Development of modified sorbents for plant sample extraction Comparative studies of metallicolous vs. nonmetallicolous plant populations Physiological responses to selenium biofortification and heavy metal exposure His work spans environmental science, analytical chemistry, and plant physiology, emphasizing chemometric approaches and stress biomarker identification.

Claire Wyatt-Smithمشاهده پروفایل

استاد

• Educational Assessment
• Teacher Education
• Digital Learning Assessment
• +۵ مورد دیگر

Claire Wyatt-Smith is Professor of Educational Assessment and Literacy and Director of the Institute for Learning Sciences and Teacher Education at Australian Catholic University (ACU). She also serves as Director of the Research Centre for Digital Data and Assessment in Education at ACU. Her leadership extends to major national initiatives including the Graduate Teacher Performance Assessment (GTPA) across 19 Australian higher education institutions. Professor Wyatt-Smith's research focuses on assessment standards, professional judgment, and the implications of digital disruption for teacher professionalism. Her work addresses critical issues in initial teacher education, assessment and learning analytics, human judgment and moderation practices, language and literacy education, and digital assessment. She has examined assessment through research, practice, and policy lenses with extensive cross-domain collaborations. Her recent publications reveal significant trends toward AI integration in educational assessment, post-pandemic assessment practices, teacher judgment development, and the intersection of large-scale and classroom assessment. These works demonstrate her focus on how digital technologies reshape assessment practices while maintaining attention to equity, professional judgment, and standards implementation across diverse educational contexts. 2020 European e-Learning Excellence Awards (second place) ACU Vice-Chancellor's Staff Excellence Medal (2018) Australian Council for Educational Leaders Queensland Honorary Fellowship (2015) Research Excellence Award, Griffith University Griffith University Arts, Education and Law Faculty Group Award (2012) As a Full HDR Supervisor, Professor Wyatt-Smith has secured substantial research funding from the Australian Research Council (including multiple Discovery and Linkage projects from 2011-2025), national and state governments, and international educational agencies. Her major projects include the ARC-funded study on teacher judgment of student samples, the GTPA initiative across six Australian states, and the NAPLAN review involving multiple Australian jurisdictions. She has published extensively in leading international journals and with major academic presses including Routledge, Sage, and Springer, where she serves as Foundation Editor for two book series. Professor Wyatt-Smith leads the Research Centre for Digital Data and Assessment in Education, which focuses on digital learning assessment, big data, and learning analytics. Her team collaborates with education authorities across Australian states and territories, industry partners, and international organizations including UNESCO on projects addressing assessment standards, teacher professionalism, and digital disruption in education.

• grassland bird population ecology
• early-successional bird ecology
• landscape conservation ecology
• +۶ مورد دیگر

Christopher Lituma is an Associate Professor in the Department of Wildlife and Fisheries Resources at West Virginia University. His research focuses on grassland and early-successional bird population ecology, landscape conservation, and the impacts of human expansion on avian conservation. He can be reached at cml0017@mail.wvu.edu or 310B Percival Hall. Bachelor’s in Biology from Millersville University Master’s in Wildlife and Fisheries Sciences from Texas A&M University Doctorate in Natural Resources from the University of Tennessee Lituma’s research explores: Conservation practices affecting bird populations Role of private lands in avian conservation Full life-cycle conservation of migratory birds Landscape ecology and wildland-urban interface impacts

Thomas Burelمشاهده پروفایل

مدرس

• Coastal Ecology
• Marine Biology
• Intertidal Ecology
• +۴ مورد دیگر

Thomas Burel is a Lecturer (Maître de conférences) at the University of Western Brittany, affiliated with the Institut Universitaire Européen de la Mer (IUEM) and the LEMAR Laboratory in Brest, France. His academic career focuses on marine biology with specialization in coastal ecology, particularly studying intertidal ecosystems and macroalgae communities through field research, molecular biology, and geospatial analysis. Dr. Burel completed his PhD between 2017 and 2020 at LEMAR with a thesis on "the effects of hydrodynamics on intertidal communities," supervised by Erwan Ar Gall, Gauthier Schaal, and Jacques Grall. His educational background demonstrates advanced training in marine ecological research methodologies and analytical approaches essential for contemporary coastal science. Dr. Burel's research program investigates coastal habitat functioning with emphasis on rocky foreshores dominated by Fucales, maërl beds, and eelgrass beds. He employs in situ sampling, Geographic Information Systems, and statistical analysis to monitor these habitats within frameworks such as REBENT, DCE, and DCSMM. His molecular biology expertise enhances understanding of macroalgae taxonomy and population genetics, while his work on non-indigenous species tracking addresses critical conservation challenges. Recent publications highlight growing concerns about canopy-forming species decline and non-indigenous species expansion along European coastlines. Analysis of Dr. Burel's publication record reveals methodological innovation through integration of traditional field sampling with hyperspectral imaging, drone technology, and advanced GIS analysis. His research demonstrates increasing focus on long-term monitoring of ecosystem changes and development of standardized approaches for marine conservation assessment, reflecting the urgent need for science-based management in rapidly changing coastal environments. Dr. Burel actively mentors doctoral candidates through substantive research collaboration: Anaëlle Bizien: Characterizing long-term changes in large algae on North-East Atlantic coasts Annaëlle Anquet: Investigating macroalgal strandings linked to marine weather events He leads significant biodiversity initiatives including cataloguing macroalgae diversity on Breton coasts and coordinating European monitoring of Non-Indigenous Species. His extensive collaborative network spans multiple French research institutions and international partners, demonstrating commitment to transdisciplinary marine science.

Ruud Wetzelsمشاهده پروفایل

استاد

• Data Science
• Bayesian Statistics
• Auditing Methodology
• +۳ مورد دیگر

Prof. Ruud Wetzels is a Professor of Data Science at Nyenrode Business University, affiliated with the Faculty Research Center for Accounting, Auditing & Control. He bridges academia and business by developing statistical methods for auditing and controlling, translating these into free software tools. His work focuses on Bayesian statistics, data analytics, and practical applications in auditing. He holds a PhD from the University of Amsterdam in Bayesian statistics and reinforcement learning. Beyond academia, he serves as a Director at PwC, specializing in data-driven strategies for businesses. His research emphasizes audit transparency, efficient sampling techniques, and integrating prior information into statistical analyses. Key contributions include Bayesian tools for audit sampling and methodologies to enhance audit efficiency through prior distributions. Education: PhD in Bayesian Statistics and Reinforcement Learning (University of Amsterdam). Research Interests: Statistical methods for auditing and control Bayesian hypothesis testing and inference Data analytics in business and auditing Development of open-source statistical tools Applications of machine learning in auditing Auditing Tools and Impact: Wetzels co-developed JASP for Audit, an open-source platform providing Bayesian tools for auditors. His work on prior distributions in Bayesian audits has advanced methodologies for integrating existing information into statistical analyses, improving audit efficiency and transparency. He has over 4,500 citations and has authored influential papers on Bayesian methods in auditing and psychology. Professional Roles: Combines academic research with industry expertise at PwC, focusing on data strategy, software implementation, and AI-driven business solutions. His dual role ensures practical relevance in academic research and theoretical rigor in professional practice.

• Textile Recycling
• Fiber Science
• Composite Materials
• +۵ مورد دیگر

Nawar Kadi is a Professor of Textile Technology at the University of Borås, Sweden, affiliated with the Department of Textile Technology within the Faculty of Textiles, Engineering and Business. He leads research in sustainable textile recycling, fiber science, and composite materials. Previously, he worked at the University of Aleppo (2002–2016) and earned his PhD in 2001 from the University of Metz (France). His teaching focuses on yarn, non-woven fabrics, and weaving technologies. Research interests include textile recycling innovations, hemp fiber processing using deep eutectic solvents, and sustainable materials development. He supervises doctoral students in these areas and collaborates on projects funded by Vinnova and the Knowledge Foundation. Recent work emphasizes eco-friendly degumming techniques for hemp fibers, machine learning applications in fiber analysis, and advanced composites from biopolymers. His contributions span over 50 peer-reviewed publications, addressing topics from fiber structure optimization to circular economy strategies in textiles. Key grants include Vinnova Project 2021-03719 and Knowledge Foundation Grant 20210067. He advises on projects at the intersection of material science and textile engineering, advocating for sustainable industrial practices.

• Chemical Oceanography
• Marine Biogeochemistry
• Isotope Geochemistry
• +۴ مورد دیگر

Hal Bradbury is an Assistant Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia. His research focuses on marine sedimentary environments, combining isotope geochemistry and numerical modeling to study early diagenesis and biogeochemical processes. He holds a PhD in Biogeochemistry from the University of Cambridge and previously served as a NERC Independent Research Fellow there. Education: MSci in Geology, Imperial College London (2009–2013) PhD in Biogeochemistry, University of Cambridge (2013–2017) Research Interests: Bradbury investigates processes such as organic matter oxidation in marine sediments and their impact on carbon mineralization. His work employs stable isotope measurements (e.g., calcium, strontium, carbon) to track diagenetic changes. Current projects include studying methane emissions linked to glacial retreat and reconstructing historical climate patterns using speleothems. Grants & Labs: Collaborates on interdisciplinary projects, including carbon cycle modeling and ocean alkalinity enhancement. His lab emphasizes fieldwork and reactive transport modeling, with funding support for graduate and postdoctoral researchers.

Yu-Lin Weiمشاهده پروفایل

عضو هیئت علمی

• Audio Signal Processing
• Wireless Communication
• Indoor Positioning Systems
• +۴ مورد دیگر

Yu-Lin Wei is a Teaching Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC). He holds a Ph.D. from UIUC (2024), and M.S. and B.S. degrees in Computer Science and Information Engineering from National Taiwan University (2016 and 2014, respectively). His research focuses on audio signal processing, IoT systems, wireless/visible light communication, and indoor positioning. He has been honored with the ECE Rambus Fellowship (2020-2021) and was a Young Researcher at the Heidelberg Laureate Forum (2019). He teaches CS/ECE 438: Communication Networks and CS/ECE 434: Real-World Algorithms for IoT and Data Science . His work spans innovations in acoustic augmented reality (Ear-AR), teeth activity sensing via earphones (EarSense), and positioning systems using polarized light (CELLI). His research group, SiNRG, explores signal processing and IoT applications under the advisement of Romit Roy Choudhury. Key contributions include MobiSys Best Demo Runner-up (2017) for CELLI and advancements in sample-constrained optimization for audio personalization. He has contributed to IEEE standards (e.g., 802.15.7r1) and served as a tutorial speaker at MobiCom and conference co-chair roles.