جست‌وجوی استاد و پژوهشگر

• Pharmacology
• Drug Discovery
• Analytical Chemistry
• +۳ مورد دیگر

John Azietaku is a Research Fellow at Monash University's Department of Drug Discovery Biology, specializing in analytical methods for drug metabolism, traditional Chinese medicine (TCM) research, and pharmacokinetics. His work focuses on developing advanced LC-MS/MS and HPLC techniques for quantifying bioactive compounds in biological matrices, particularly in herbal extracts and pharmaceutical formulations. Key research interests include chemometric methods for herbal standardization, tissue distribution studies of natural products, and investigating enzyme inhibition (e.g., CYP450) effects of TCM preparations. He has conducted extensive pharmacokinetic analyses of compounds like bergapten, periplocin, and Columbianadin in rat models, emphasizing metabolite identification and bioavailability. His publications highlight methodological innovations in simultaneous quantification of multi-components and application of bioactivity-guided approaches for drug discovery. While no awards are explicitly mentioned, his contributions to analytical methodologies in TCM research are notable. He has no listed advisees or grants in the provided data. His research is closely tied to the Drug Discovery Biology team at Monash, focusing on translational applications of analytical chemistry in pharmaceutical development.

Yudi Pawitanمشاهده پروفایل

استاد

• Bioinformatics
• Statistical Genetics
• Genomics
• +۲ مورد دیگر

Yudi Pawitan is Professor at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, where he leads the research group on Statistical and Bioinformatics Analyses of High-Throughput Molecular Data. His work focuses on developing statistical methods for genomic studies including SNP/RNA arrays and next-generation sequencing. Education includes BSc in Statistics (Bogor Agriculture Institute, 1982), MSc in Statistics (UC Davis, 1984), and PhD in Statistics (UC Davis, 1987). Research interests span bioinformatics, cancer genomics, and statistical genetics with emphasis on high-dimensional data analysis, genetic correlations, and neural cell biology. His group addresses fundamental questions in genomic data interpretation and neurodegenerative processes. Publications demonstrate strong focus on genetic epidemiology, single-cell analytics, and statistical methodologies. Recent works explore machine learning applications in longitudinal data visualization, neural cell characterization, and cancer biomarker discovery. Awards: Not documented in provided texts. Supervises doctoral candidates including Linda Lindström and Ralf Kuja-Halkola. Manages the Live Imaging Facility at St. Vincent's Centre for Applied Medical Research. Research funded by Swedish Research Council and Swedish Cancer Society grants. Leads interdisciplinary collaborations through the Statistical and Bioinformatics research group, integrating computational biology with experimental neuroscience.

• Quantitative Finance
• Credit Risk
• Financial Engineering
• +۳ مورد دیگر

Roles and Affiliations: Alexander Herbertsson is a Senior Lecturer in Statistics and Quantitative Finance at the University of Gothenburg, affiliated with the CFF-Centre for Finance. He is based in the Department of Economics with Statistics, located at Vasagatan 1, Gothenburg. His work focuses on financial risk management, credit risk modeling, and quantitative finance methodologies. Education: Ph.D. in Economics: Quantitative Finance (2007), University of Gothenburg Licentiate of Engineering in Industrial Mathematics (2005), Chalmers University of Technology M.Sc. in Engineering Physics (Applied Mathematics specialty) (2001), Chalmers University of Technology Research Interests: Herbertsson's research emphasizes applied financial mathematics and statistical methods in finance. Key areas include credit risk modeling (default contagion, systemic risks), financial engineering, and the development of dynamic models for portfolio credit risk. His work often integrates Markov chain models, phase-type distributions, and stochastic processes to analyze dependency structures and pricing of credit derivatives. Recent studies explore saddlepoint approximations for portfolio risk analysis and risk management under exogenous shocks. Teaching: He teaches advanced courses in credit risk modeling, quantitative finance, and applied probability theory, emphasizing practical applications in risk management and financial markets. Grants and Labs: While specific grants are not detailed in the text, his affiliation with the CFF-Centre for Finance suggests involvement in collaborative financial research projects. His work often addresses real-world applications of theoretical models in systemic risk and portfolio hedging.

Jonathan Lusthausمشاهده پروفایل

دانشیار

• Cybercrime
• Cybersecurity
• Organized Crime
• +۳ مورد دیگر

Dr. Jonathan Lusthaus is an Associate Professor in Global Sociology at the University of Oxford, with a joint appointment in the Department of Sociology and the Oxford School of Global and Area Studies. He directs the Human Cybercriminal Project and serves as a Governing Body Member of St Antony's College. His research focuses on the socio-economic dimensions of profit-driven cybercrime, exploring criminal organizations, market structures, and geographic hotspots. He holds a doctorate in sociology from Oxford as a Clarendon Scholar. Education: PhD in Sociology (University of Oxford, Clarendon Scholar),硕士 and bachelor's degrees not explicitly stated but implied through doctoral status. Research Interests: Cybercrime's human dimensions, socio-economic foundations of cybercriminal industries, organizational structures of illicit groups, and policy interventions. His landmark book Industry of Anonymity (Harvard UP) details a seven-year global investigation involving 250 interviews with cybercriminals, law enforcement, and industry experts. Current projects include analyzing cybercrime market economics and the offline-local dimensions of digital crime. Teaching: Convenes core methods courses on Research Design and the Sociology of Cybersecurity, cross-listed with the MPhil in Global and Area Studies. Supervises DPhil students in cybercrime, cybersecurity, organized crime, and technology sociology, emphasizing qualitative methods and fieldwork in global hotspots. Awards: Clarendon Scholarship (University of Oxford). Publications: Over 20 peer-reviewed articles and book chapters on cybercrime networks, market dynamics, and policy solutions. Key projects include the World Cybercrime Index mapping global threats and experimental studies on disrupting illicit markets. Engagement: Regular speaker at major conferences (Black Hat, Enigma), advisor to law enforcement and tech companies, and founder of the Industry of Anonymity newsletter for cybercrime analysis.

Menake Piyasenaمشاهده پروفایل

دانشیار

• Bioanalytical Chemistry
• Microfluidics
• Biosensors
• +۳ مورد دیگر

Dr. Menake Piyasena is an Associate Professor in the Department of Chemistry at New Mexico Institute of Mining and Technology, where he leads the Bio-analytical and Microfluidics research group. His work focuses on developing novel analytical methods for environmental, biological, and chemical applications, including disease diagnostics and pollutant detection. Education: Postdoctoral Researcher, University of New Mexico, 2009 Postdoctoral Researcher, University of Maryland, 2007 Postdoctoral Fellow, California State University-Los Angeles, 2005 Ph.D., Analytical Chemistry, University of New Mexico, 2005 B.Sc., Chemistry, University of Kelaniya, 1997 Research Interests: Dr. Piyasena's research explores microsphere and polymer monolith-based bio-assemblies for disease diagnostics, acoustic focusing systems for biological particle separation, and microfluidic techniques for environmental contaminant removal. His group specializes in biosensors, acoustofluidic devices, and microfabrication techniques for analytical applications. Publication Trends: Recent work demonstrates a strong focus on environmental applications of microfluidics, particularly microplastic separation and pharmaceutical degradation analysis. His 15 most recent publications emphasize acoustofluidic particle manipulation, lipobead-based biosensors, and innovative microdevice fabrication for biological and environmental monitoring. Research Group: Leads the Bio-analytical and Microfluidics laboratory developing portable detection systems for environmental toxins and disease biomarkers.

Linda Bolمشاهده پروفایل

استاد

• Self-regulated Learning
• Metacognition
• STEM Education
• +۳ مورد دیگر

Linda Bol is a Professor in the Department of STEM Education & Professional Studies at Old Dominion University (ODU), affiliated with the Darden College of Education & Professional Studies. Her expertise spans self-regulated learning, metacognition, program evaluation, and research methods. She holds a Ph.D. in Educational Psychology from UC Berkeley (1991), an M.A. in Psychology from California State University, Fresno (1985), and a B.A. in Psychology from the same institution (1982). Bol has extensive research experience in education reform, including evaluations of school restructuring models, smaller learning communities, and grant-funded initiatives like the National Math and Science Initiative. Her work emphasizes teacher practices, assessment strategies, and the intersection of technology with learning environments. Key projects include the $26 million 'AdapText Interactive' initiative and evaluations of Teaching American History Grants. Her research interests focus on metacognitive strategies, calibration accuracy in student performance, and fostering academic engagement. Notable publications explore writing rubrics' impact on calibration, self-regulated learning in STEM contexts, and the influence of peer review on student performance. Bol has also contributed to studies on generational differences in academic integrity and the role of motivation in e-learning environments. Grants & Awards: Over $30 million in federal grants, including recognition for collaborative grants (2012), doctoral mentoring (2011), and the Tonelson Award (2004). Awards: Includes the Shining Star Award (2009), multiple mentoring accolades, and national recognitions for research excellence. Labs/Teams: Active in ODU's STEM education initiatives and collaborations with the National Institute for School Leadership. Bol's work bridges theoretical research and practical educational reform, with a focus on empowering both students and educators through evidence-based strategies.

Adam Edwardsمشاهده پروفایل

استاد

• Criminology
• Security Studies
• Urban Security
• +۵ مورد دیگر

Professor Adam Edwards is a leading academic in the School of Social Sciences at Cardiff University, specializing in criminology, security studies, and digital society. He serves as Director of Learning and Teaching and holds a PhD from Cardiff University (2017). His research focuses on the impact of emerging technologies (e.g., social media, smart cities) on legal and governance frameworks, particularly in urban security contexts. He has authored over 100 publications, including seminal works on transnational organized crime and European policing strategies. Key research areas include: Smart city governance and urban security strategies Multi-centred governance of crime control Social media analysis for policy development Comparative criminology across European city-regions Edwards has secured £2.5M+ in research funding, including projects on digital wildfire governance, cyber hate monitoring, and urban security policy. He supervises PhD students in areas like austerity-era community safety, corporate bribery regulation, and night-time economy policies. His editorial roles include the Routledge Research Series on Crime, Security and Justice and Policing and Society journal. Professional accolades include Visiting Fellowships at the University of California, Berkeley, and Leiden University. Notable grants include: European Union Urbis Project (£505k) ESRC Digital Wildfire (£248k) Department of Health Suicide Communication Study (£200k) He collaborates with international institutions like the Sir Arthur Lewis Institute and advises policy bodies on digital governance and crime prevention strategies.

Xiang Liمشاهده پروفایل

استاد

• Tourism Management
• Customer Loyalty
• Destination Marketing
• +۵ مورد دیگر

Xiang (Robert) Li is a Professor and Washburn Senior Research Fellow at Temple University's Department of Tourism and Hospitality Management within the School of Sport, Tourism and Hospitality Management. He directs the U.S.-Asia Center for Tourism and Hospitality Research, focusing on destination marketing, international branding, and tourism in Asia. With nearly 200 publications and $2.1M in research funding, his work addresses tourist behavior, customer loyalty, and technology's role in hospitality. Prof. Li earned his Ph.D. from Texas A&M University and previously worked in destination management in Nanjing, China. He advises global entities like the World Travel & Tourism Council and has been cited by major media outlets. His editorial roles span over 15 journals, and he holds adjunct positions in Australia, Hong Kong, and mainland China. Research Themes: Destination Branding, Tourism Technology, Cultural Tourism, Sustainable Development Key Collaborators: World Travel & Tourism Council, China’s Ministry of Culture and Tourism, Walt Disney Parks and Resorts Media Visibility: Associated Press, New York Times, Forbes His grants and consultancies emphasize practical tourism solutions, while his academic impact includes shaping research methodologies and global tourism policy debates.

Stephen Ramseyمشاهده پروفایل

دانشیار

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +۶ مورد دیگر

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Katharine Hunterمشاهده پروفایل

استادیار

• Plasma physics
• Nanomaterial synthesis
• Semiconductor processing
• +۲ مورد دیگر

Katharine Hunter is Assistant Professor of Teaching in Mechanical and Aerospace Engineering at University at Buffalo School of Engineering and Applied Sciences, specializing in plasma-based nanomaterial synthesis. Research develops nonthermal plasma techniques for quantum dot fabrication, core-shell nanostructures, and doped semiconductor nanocrystals. Recent advances include silicon-germanium heterostructures with tailored optoelectronic properties and plasmonic behavior in doped silicon nanocrystals. Experimental approaches combine plasma reactor design with advanced characterization methods including STEM-EDX mapping, high-energy XRD, and electron energy loss spectroscopy. Focuses on scalable green synthesis of functional nanomaterials. Teaching emphasizes hands-on laboratory instruction in vacuum technology, plasma processing, and nanofabrication methods. Education includes PhD in Mechanical Engineering (University of Minnesota), MS in Physics (Caltech), and BS in Physics (US Air Force Academy).

Alessandra Faillaمشاهده پروفایل

پژوهشگر

• Quantitative analysis of archival data
• Data visualization and digital storytelling
• User experience design for data presentation
• +۲ مورد دیگر

Alessandra Failla serves as a Research Collaborator in Digital Humanities at the Kunsthistorisches Institut in Florenz, part of the Max Planck Society. Her work bridges art historical scholarship with computational methods to enhance archival research. Her educational background includes: Master's degree in Digital Humanities and Digital Knowledge from the University of Bologna Bachelor's degree in European Art History from the University of Heidelberg Her research interests focus on the quantitative analysis of archival materials, data visualization techniques for digital storytelling, and user-centered design for presenting complex archival information. Her work particularly emphasizes making sophisticated data analysis accessible to researchers with varying technical expertise. At the Kunsthistorisches Institut, she contributes to the Digital Humanities Lab where she develops computational frameworks to analyze and visualize the institute's extensive photographic collections. Her previous work as a cataloguer at the institute's Photothek directly informed her 'Bürkelens' project analyzing Ludwig von Bürkel's photo collection and its impact on the Photothek's holdings. Technical expertise forms a core component of her methodology, utilizing Python and Jupyter Notebook to create user-friendly analytical tools that support researchers working with historical visual materials.

• Data Analytics
• Statistical Learning
• Computational Science
• +۴ مورد دیگر

Giuseppe Brandi is an Assistant Professor in Data Science at Northeastern University London and an Honorary Research Fellow at Imperial College London's Centre for Climate Finance & Investment. His research focuses on DataMetrics, a discipline blending Data Analytics, Statistical Learning, and Computational Science to analyze complex systems, particularly in finance and climate contexts. He emphasizes adapting models to data rather than forcing data into pre-existing theoretical frameworks. Dr. Brandi's work spans Climate Data Science, Econometrics, and Quantitative Finance. He critiques rigid theoretical models and advocates for interdisciplinary methods to extract insights from multidimensional data. His recent publications explore multiscaling in financial systems, tensor-based decomposition for multidimensional data, and liquidity contagion in interbank markets. His articles highlight trends in financial risk assessment, systemic risk modeling, and the application of tensor methods to complex datasets. Notably, he develops tools like the DisaggregateTS package for time-series analysis and visual warning systems for financial anomalies. Despite these contributions, no scientific awards are explicitly mentioned in the provided texts. Dr. Brandi's advising and grant activities remain undocumented here, though his academic roles suggest involvement in student mentorship and collaborative research projects. His affiliation with Northeastern's global network positions him to engage with interdisciplinary teams across multiple campuses.

Martin Kuentzمشاهده پروفایل

استاد

• Pharmaceutical Technology
• Drug Delivery Systems
• Oral Formulations
• +۳ مورد دیگر

Prof. Martin Kuentz is a Professor of Pharmaceutical Technology at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), leading the research group on Quality by Design of oral dosage forms. His primary affiliation is with the School of Life Sciences and the Institute for Pharma Technology and Biotechnology . He holds a Ph.D. in Pharmaceutical Technology from the University of Basel (1999) and a Pharmacist degree (1995). Prior to academia, he worked at F. Hoffmann-La Roche Ltd. as a Senior Scientist and Coordinator of Galenical Development Projects. Research Focus: His work centers on lipid-based formulations, amorphous solid dispersions, and computational tools for drug delivery. Key techniques include Raman spectroscopy, UV imaging, and molecular dynamics simulations. He has pioneered methods to enhance solubility of poorly water-soluble drugs using mesoporous silica, hydrophobic deep eutectic solvents (HDES), and machine learning-driven approaches. Publications & Awards: Prof. Kuentz has authored over 90 peer-reviewed articles and received awards such as the IPEC Foundation Best Manuscript Award (2014) and multiple Best Poster Awards at Swiss Pharma Science Days (2012–2015). He is a member of the American Association of Pharmaceutical Scientists (AAPS), Arbeitsgemeinschaft der Pharmazeutischen Verfahrenstechnik (APV), and the Swiss Society of Industrial Pharmacists (GSIA). Teaching: He teaches courses on industrial processes in life sciences, pharmaceutical chemistry, and quality management at both bachelor and master levels. He is certified in university didactics from the University of Basel (2008). Lab/Team: Leads the Oral Formulations for Chemical Drugs research team at FHNW. Grants/Advising: Supervises multiple Early Stage Researchers (ESRs) in the PEARRL network, including main supervision of ESR 2 and ESR 5, and co-supervision of ESR 1, 3, 4, and 6.

Karen Gedenkمشاهده پروفایل

استاد

• Marketing
• Pricing Strategies
• Promotions
• +۳ مورد دیگر

Prof. Dr. Karen Gedenk is a Professor of Marketing & Pricing at the University of Hamburg Business School. She holds a chair position and has previously served as a full professor at Goethe University Frankfurt (2000–2004) and University of Cologne (2004–2010). Her academic background includes studies at WHU Otto Beisheim School of Management, ESC Lyon, and Northwestern University, with a PhD and Habilitation from the University of Kiel. She has been a Visiting Scholar at institutions like Dartmouth’s Tuck School and INSEAD. Her research focuses on pricing strategies, promotions, and marketing instruments, emphasizing empirical studies using market data and surveys. Collaborations with fast-moving consumer goods and media industries are central to her work. Key areas include analyzing price cuts, store advertising synergies, referral programs, and the impact of promotions on consumer behavior. Publications appear in top journals such as Journal of Marketing Research and Journal of Marketing . Notably, her 1999 article in Journal of Retailing received the Best Paper Award. Her team includes researchers like Dr. Cord Otten and Lisa Hartten, supporting her work in the Hamburg-Cologne Marketing Camp and other initiatives. Academic advising and grant activities are integral to her role, though specific grants are not detailed here. She leads a research group examining retail strategies, consumer decision-making, and cross-industry marketing challenges.

• Marketing
• Numerical Analysis
• Marketing Communications
• +۴ مورد دیگر

Melih Can is a Lecturer at the Department of Industrial Engineering, Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University. He holds a Doctorate in Business Administration from Aydın Adnan Menderes University (2018), a Master’s in Management Engineering from Akdeniz University (2013), and a Bachelor’s in Business Administration from Suleyman Demirel University (2005). His research focuses on Marketing, Numerical Analysis, and Multi-Criteria Decision Making, with applications in tourism, banking, and retail sectors. Key areas include fuzzy decision models for SMEs, chatbot adoption in e-commerce, and integrated marketing communications. His work also addresses occupational safety in hospitality and employee well-being in education sectors. Recent publications highlight methodologies like Fuzzy AHP, ARAS, and Best-Worst Scaling for decision-making, alongside studies on Industry 4.0 adoption and cross-docking optimization in supply chains. His research blends quantitative techniques with real-world sectoral challenges. Melih Can has served on academic committees at Alanya Alaaddin Keykubat University, including Quality Board and Commission memberships. He teaches courses in Industrial Engineering and collaborates on projects involving marketing strategies and operational efficiency.