جست‌وجوی استاد و پژوهشگر

• Analytical Chemistry
• Pharmaceutical Analysis
• Drug Quality Control
• +۳ مورد دیگر

Darija Knežević Ratković is a Senior Lecturer at the Faculty of Medicine of the University of Banja Luka, affiliated with the Department of Pharmaceutical Analysis . She specializes in analytical chemistry methodologies, particularly in hydrophilic interaction liquid chromatography (HILIC), green chemistry principles, and pharmaceutical quality control. Her research focuses on method development for drug analysis, including studies on caffeine, paracetamol, amitriptyline, amlodipine besylate, and lisinopril dihydrate. She also investigates the impact of environmental factors like pH on drug solubility and stability. Recent work emphasizes sustainable analytical practices and validation of HILIC methods for pharmaceutical impurity detection. Ratković collaborates on national projects, including the development of herbal medicine analysis techniques and radiotherapeutic agent efficacy studies. She has contributed to peer-reviewed journals like Acta Chromatographica and JOURNAL OF SEPARATION SCIENCE , with publications spanning 2017–2025. Her work bridges fundamental analytical chemistry with practical applications in pharmacy and healthcare quality assurance. She is active in professional conferences, presenting at events like the Congress of Pharmacists of Bosnia and Herzegovina and the International Scientific Conference Contemporary Materials. Current projects (2025–2027) focus on radiopharmaceutical response modeling and essential oil analysis from medicinal herbs in Herzegovina.

Ludovic Goudenegeمشاهده پروفایل

پژوهشگر ارشد

• Stochastic Partial Differential Equations
• Stochastic Processes
• Numerical Analysis
• +۳ مورد دیگر

Ludovic Goudenege is a CNRS Research Fellow assigned to the CentraleSupélec Mathematics Federation. His research focuses on stochastic partial differential equations (SPDEs), numerical analysis, and financial mathematics. He is affiliated with the Molecular and Macroscopic Energetics and Combustion Laboratory, contributing to interdisciplinary studies at the intersection of mathematics and applied sciences. His work spans theoretical and computational aspects of SPDEs, including stochastic processes, rare event simulation, and numerical methods for high-dimensional problems. Key applications include financial derivatives pricing (e.g., American options, variable annuities), risk management, and material science (e.g., phase field models for polymers). Collaborations with institutions like CNRS and CentraleSupélec underpin his interdisciplinary approach. Publications emphasize machine learning applications in finance, variance reduction techniques, and convergence analysis of numerical schemes for stochastic equations. Recent work explores non-Markovian systems, fractional noise models, and stochastic fluid dynamics. His research bridges fundamental mathematical theory with practical challenges in finance, engineering, and computational science.

• Multiphase Flows
• Turbulence
• Combustion
• +۵ مورد دیگر

Yannis Hardalupas is a Professor of Multiphase Flows at the Department of Mechanical Engineering, Imperial College London. His affiliations include the Centre for Translational Nutrition and Food Research, Climate and Health, Energy Futures Lab, and the Institute for Molecular Science and Engineering. He holds a PhD in Mechanical Engineering from Imperial College (1989) and has over 30 years of academic experience, including roles as Reader (2003–2009) and Advanced Research Fellow (1994–1998). His research focuses on multiphase flows, combustion, turbulence, and nanofluids. Notable interests include laser-induced flame dynamics, spray flow modeling, and energy systems. He has contributed to interdisciplinary fields like food engineering and sustainable energy, addressing challenges in thermal storage and alternative fuels. Recent work emphasizes data-driven approaches for cryogenic hydrogen release, hydrogen-ammonia combustion systems, and erosion-resistant wind turbine materials. His labs combine experimental diagnostics (e.g., PIV, chemiluminescence imaging) with computational modeling (LES, CFD). Hardalupas leads collaborations in climate resilience, energy transition, and material science, reflecting his role as a cross-disciplinary academic leader.

Daniel Oiمشاهده پروفایل

مدرس ارشد

• Quantum Information
• Quantum Computation
• Quantum Optics
• +۷ مورد دیگر

Daniel Oi is a Reader in the Computational Nonlinear and Quantum Optics (CNQO) group at the Department of Physics, University of Strathclyde, under the Faculty of Science. He is also affiliated with SUPA (Scottish Universities Physics Alliance), Ocean, Air and Space, and StrathCyber. He holds an honorary Senior Lecturer position at the University of Bristol's Merchant Venturers School of Engineering (2020–2023). He is actively involved in quantum research and is accepting PhD students. BSc Hons Physics, University of Western Australia (1995) BEng Hons Mechanical Engineering, University of Western Australia (1997) MASt (Part III Mathematics), University of Cambridge (1999) PhD in Quantum Channels, Mixed States, and Interferometry, University of Oxford (2002) Daniel Oi's research spans fundamental quantum theory, quantum engineering, quantum computation, and quantum space technologies. His work emphasizes quantum communication, quantum optics, and quantum information, with applications in space-based quantum key distribution and satellite quantum networks. He explores quantum retrodiction, entanglement, and quantum metrology, bridging theoretical models with experimental implementations. His research contributes to UN Sustainable Development Goals, particularly in education and technological innovation. His recent publications (2020–2025) show a strong focus on space quantum communication, including satellite QKD, quantum repeaters, atom interferometry, and radiation-hardened photodetectors. His work combines theoretical advances with practical engineering for space deployment, emphasizing performance under finite resources and real-world constraints. Key themes include quantum networking, entanglement distribution, and quantum-enhanced sensing using interferometric techniques. He received the recognition of being a founding member of QUISCO (Quantum Information Scotland Network) in 2008. Daniel Oi has been a principal or co-investigator on multiple research projects, including EPSRC-funded CASE accounts, the DTP 2224 studentship, NPL iCASE on quantum transduction, the Integrated Quantum Networks Hub, and ESA’s VOLT Mission. He has hosted academic visitors, organized workshops, and delivered invited talks globally. He supervises research students and contributes to datasets in quantum scheduling and state amplification. He is actively involved in professional activities, including organizing the INSQT Workshop 5, speaking at the Satellite Quantum Key Distribution event, and participating in quantum networks and gravity workshops. His lab, the CNQO group, focuses on computational and theoretical aspects of nonlinear and quantum optics, supporting satellite quantum technologies and foundational quantum research.

• Sociology
• Life Course Research
• Stratification
• +۹ مورد دیگر

Juho Härkönen is Professor of Sociology at Stockholm University and Visiting Professor at the University of Turku. He holds a PhD from the European University Institute (2007) and is Docent in Sociology at the University of Turku (2009). His academic career includes postdoctoral work at Yale University (2007–2009), followed by positions as researcher, Associate Professor (2012–2016), and full Professor (2016–present) at Stockholm University. He has held visiting appointments at the University of Turku since 2010 and has taught at institutions including Yale, ENSAE/CREST, University of Tampere, and Karolinska Institute. Research Interests: His research focuses on social inequalities over the life course, including the causes and consequences of divorce, family structure, educational and occupational mobility, health outcomes, and the intergenerational transmission of disadvantage. He specializes in quantitative methods applied to longitudinal and cross-national data. Publication Trends: His recent work centers on family dynamics, child outcomes, educational disparities, and health inequalities, often using large-scale cohort studies and comparative datasets. Themes include single motherhood, smoking in pregnancy, cortisol levels in breast milk, and cancer risk linked to socioeconomic status, reflecting an interdisciplinary approach bridging sociology, demography, and public health. Editorial Role: Since 2017, he has served as Co-Editor-in-Chief of Advances in Life Course Research . Teaching: He teaches quantitative methods (event history analysis, multilevel modeling), substantive courses in life course research, demography, stratification, and family sociology, as well as thesis writing. Scientific Contributions: His frequently cited works include studies on the educational gradient of divorce and intergenerational transmission of divorce across countries. Despite no listed awards, his publication record in top journals such as European Sociological Review , Demography , and Social Forces underscores his scholarly impact. Advising and Grants: While no students or grants are explicitly listed, his extensive collaborative research and editorial leadership suggest active mentoring and research funding engagement. His affiliations span multiple Nordic and international institutions, indicating broad academic integration. Labs and Teams: No specific labs or research teams are mentioned in the text, though his collaborations with researchers at Karolinska Institute and use of Finnish birth cohort data suggest involvement in interdisciplinary health and social science research groups.

Oscar Henrikssonمشاهده پروفایل

مدرس ارشد

• Theoretical Physics
• Particle Physics
• Cosmology
• +۳ مورد دیگر

Oscar Henriksson is a Senior Lecturer at the Faculty of Natural Sciences and Engineering, Physics Department, Åbo Akademi University. His research focuses on theoretical physics at the intersection of string theory, holography, and cosmology. Current affiliation: Åbo Akademi University, Physics Department Academic rank: Senior Lecturer Henriksson's research spans holographic models of quantum field theories, phase transitions in the early universe, and string theory applications to cosmological constants. Key areas include: Holographic duality (AdS/CFT correspondence) Black hole thermodynamics and D-brane dynamics Phase transition dynamics and bubble nucleation Cosmological constant problems and dark energy models Quantum criticality and strongly coupled systems Non-relativistic supersymmetric frameworks Recent publications (2024-2015) demonstrate a consistent focus on holographic methods, string theory applications, and cosmological modeling. His work often combines gravitational dualities with particle physics phenomena. Henriksson actively participates in academic events: Speaker at Holographic Duality Symposium (2024) Presenter on first-order phase transitions (2024) Peer-reviewer for 7 publications in 2024 Hosted academic visitor Mark Hindmarsh (2024) Participant in Nordic Network meetings on strings/branes (2024) His research fingerprint reveals deep expertise in fermi surfaces, branes, holography, cosmological constants, and phase transition physics.

Søren Krogh Andersenمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Visual Perception
• Selective Attention
• +۷ مورد دیگر

Søren Krogh Andersen is a Professor and Head of Unit in the Department of Psychology at the University of Southern Denmark, where he leads research in Health and Cognitive Psychology. He holds a PhD and is actively engaged in empirical and theoretical research on human visual cognition and attentional mechanisms. Research Interests: Cognitive Neuroscience Visual Perception Selective Attention Feature-based Attention Multiple Object Tracking Steady-State Visual Evoked Potentials (SSVEPs) EEG Fingerprinting His research investigates how attention modulates neural activity in early visual areas, with a focus on the temporal dynamics and spatial distribution of attention across visual features such as color and motion. He uses electrophysiological techniques, particularly EEG, to explore the neural basis of perception and attention. Recent publications show a consistent trend in studying attentional modulation in the visual cortex, the separation of luminance and contrast signals in SSVEPs, and the enhancement of perceptual abilities in specialized populations such as video game players. His work combines rigorous experimental design with advanced signal analysis to uncover fundamental principles of visual cognition. Scientific Engagement and Recognition: Active contributor to high-impact journals including PNAS , Journal of Cognitive Neuroscience , and Cerebral Cortex . Featured in media outlets such as TV 2 Fyn, indicating public engagement. ORCID: 0000-0002-7612-0127 Research widely accessed on platforms like Mendeley and Pure. He advises on cognitive neuroscience research and collaborates internationally, though specific students or grant funding are not listed. His work contributes significantly to the understanding of attention and perception, with potential applications in human-computer interaction, clinical psychology, and cognitive training.

Aaron Timpermanمشاهده پروفایل

استاد پژوهشی

• Microfluidics
• Nanofluidics
• Proteomics
• +۷ مورد دیگر

Aaron Timperman is a Research Professor in the Department of Bioengineering, leading the Timperman Research Group. His work bridges engineering, chemistry, biology, and physics to develop innovative microfluidic and nanofluidic systems with applications in human and environmental health. His research focuses on: Microfluidic and nanofluidic system development Mass spectrometry-based proteomics Single bacterial and mammalian cell analysis Microfluidic cell culture platforms Portable diagnostic devices Water purification technologies Recent research trends, as seen in his publications, emphasize advancements in AC electrophoresis techniques, particularly low-frequency and transverse configurations (TrACE), for improved bioanalytical separations. These efforts reflect a strong focus on fundamental electrokinetic phenomena and their practical integration into lab-on-a-chip systems. No scientific awards were mentioned in the provided text. Dr. Timperman advises a dynamic research group, mentoring students such as Yanjia, Hannah, Nelum, and Aline, supporting their academic progress including candidacy exams. While specific grants are not listed, his active publication record and lab operations suggest ongoing funded research projects. The Timperman Research Group fosters a collaborative environment, combining rigorous scientific inquiry with team-building activities like potlucks and rock climbing events, promoting a healthy and engaged lab culture.

• Labor Law
• Commercial Company Law
• Air Law
• +۷ مورد دیگر

Carlos Alberto Neves Almeida is an Assistant Professor in the Department of Political Economy at ISCTE - University Institute of Lisbon, under the School of Social Sciences and Humanities (ECSH). He is also an Integrated Researcher at DINÂMIA'CET-Iscte, a research center focused on socioeconomic change and territory, with thematic emphasis on governance, economy, and citizenship. PhD in Corporate Law, ISCTE-IUL (2009) Master’s in Law, Faculty of Law, University of Lisbon (1990) Bachelor’s in Law, Faculty of Law, University of Lisbon (1986) His research interests center on Labor Law, Commercial Company Law, and Air Law , with a specialized focus on aviation regulation, air carrier liability, passenger rights under EU law, and constitutional and administrative legal frameworks. His work bridges legal theory and practical regulatory application, especially in transport and public administration. The most recent articles (2022–2024) reflect a sustained engagement with air passenger rights , analyzing both Portuguese jurisprudence and European Court rulings, while questioning the future of EC Regulation 261/2004. Earlier works explore constitutional history, administrative courts, and Macau’s legal regime, demonstrating a broad yet coherent trajectory in public, corporate, and transport law. Scientific Awards: One award or honor received (specific name not disclosed) He has supervised or advised students, though specific names are not listed. He has been actively involved in academic events and research projects related to labor, aviation, and European law. His publications include a book, multiple book chapters, journal articles, and conference communications. He is affiliated with key research units and contributes to national and international scholarly discourse. He is associated with the research group Governance, Economy and Citizenship and participates in specialized seminars and conferences, particularly in Latin American and Iberian legal forums on aeronautical law.

Hyunmin Yiمشاهده پروفایل

دانشیار

• nanobiofabrication
• smart biopolymers
• BioMEMS
• +۳ مورد دیگر

Hyunmin Yi is an Associate Professor in the Department of Chemical and Biological Engineering at Tufts University, where he also serves as the undergraduate curriculum chair. He holds a Ph.D. from the University of Maryland (2003) and M.S./B.S. degrees from Seoul National University (Korea). His research focuses on nanobiofabrication, smart biopolymers, BioMEMS, and material science, with applications in biomedical, environmental, and biotechnology fields. Yi has authored over 80 peer-reviewed articles and holds multiple patents. Key research interests include controlled fabrication of functional materials at micro/nano scales, such as biosensors, biophotonic devices, and nanocatalysts. He has secured NSF grants for membrane engineering and viral-templated nanomaterials. Yi is active in professional service, organizing conferences like AIChE and KSEA events, and has delivered over 40 invited talks globally. His teaching portfolio includes courses on chemical separations, biotechnology, and materials science. Yi’s work bridges biological materials and engineering, emphasizing programmable properties for practical applications. His lab develops advanced fabrication techniques for customizable materials, including hydrogel-based systems and catalytic nanocomposites.

Parker Shectmanمشاهده پروفایل

استادیار

• Computational Engineering
• Operations Research
• Financial Engineering
• +۶ مورد دیگر

Parker Shectman, Ph.D., serves as an Assistant Professor of Engineering Management in the Department of Engineering Education at St. Mary's University, San Antonio. With over 30 years of academic and professional experience, he previously lectured at the University of Illinois at Urbana-Champaign and the University of Texas at San Antonio. His international consulting career spans Bulk Materials Handling, Mineral and Agricultural Processing, Industrial Simulation, and Risk Assessment across 48 facilities in 24 countries, including recent projects in Brazil (2013). His academic credentials include: Ph.D. in Mechanical & Industrial Engineering, University of Illinois at Urbana-Champaign (1999) M.S. in Mechanical & Industrial Engineering, University of Illinois at Urbana-Champaign (1995) B.S. in Engineering Science, Trinity University, San Antonio (1992) Dr. Shectman's research bridges industrial, mechanical, and financial engineering through computational methods for real-world applications. His primary focus areas include discrete-event simulations of bulk import/export terminals, discrete element modeling of bulk flow, economic assessment of engineering projects, and recreational mathematics. He applies advanced techniques in statistics, design of experiments, mathematical programming, facility layout, queuing processes, and discrete-event simulation to solve complex problems in ports, mining, agribusiness, and finance. Analysis of his publication history reveals a consistent interdisciplinary trajectory: early work (1990s-2000s) centered on mathematical programming and portfolio optimization, while recent publications (2011-2021) address critical port capacity issues in South American agribulk export systems. His research demonstrates seamless integration of operations research methodologies across engineering and financial domains. No scientific awards are documented in available sources. Dr. Shectman teaches Engineering Economy, Python Programming for Engineering, Industrial Statistics, and Engineering Project Management. While specific graduate student advising details are unavailable, his three decades of applied industry experience—including international project leadership—demonstrate significant professional engagement beyond traditional academia. His professional activities include participation in project teams at 48 industrial facilities across 24 countries, with expertise applied in ports & terminals, mining, and agribusiness sectors. Beyond engineering, he performs with the St. Mary’s SET Players and contributes to the Online Encyclopedia of Integer Sequences, reflecting his dual passion for music and recreational mathematics.

Daniela SUTEUمشاهده پروفایل

مدرس

• Dye sorption from aqueous environments
• Separation procedures
• Product quality
• +۷ مورد دیگر

Daniela SUTEU is a Lecturer at the Faculty of Chemical Engineering, Environmental Protection and Management at Gheorghe Asachi Technical University of Iasi. With over three decades of academic experience, she has progressed from Preparator (1991-1994) to Assistant (1994-1999), Senior Lecturer (1999-2012), and currently Lecturer since 2012. She teaches multiple courses including Biotechnologies in Environmental Protection, Food Product Quality, Pharmaceutical and Cosmetic Marketing, and Business Management at both undergraduate and master's levels. Her educational background includes a degree in Industrial Chemistry from the Politehnica University of Iasi (1991), a PhD in Chemistry from Gheorghe Asachi Technical University of Iasi (1998), and an MBA in Management and Business Administration from CETEX, Gheorghe Asachi Technical University of Iasi (2005-2007). Daniela SUTEU's research focuses on dye sorption from aqueous environments, separation procedures, product quality, university management aspects, and solid waste management and valorization. Her work bridges environmental engineering, chemical engineering, and applications in food science and dermatocosmetics. She has made significant contributions to biosorption technologies using various waste materials as biosorbents for pollutant removal from wastewater. Her recent publications demonstrate a strategic shift toward interdisciplinary research, particularly in dermatocosmetic applications of natural compounds and sustainable removal of pharmaceutical residues. The articles show a progression from traditional environmental engineering topics toward more specialized applications in cosmetic science and sustainable technologies, with a strong emphasis on valorizing waste materials for environmental and commercial purposes. Member of the Faculty Council (2008-2009; 2012-2015) Member of the Editorial Advisory Board of the Bulletin of the Politehnica University of Iasi Coordinator of accreditation documents for undergraduate and master's programs External evaluator for research projects in Latvia (2012) Reviewer for numerous international scientific journals She has coordinated student scientific events, supervised bachelor's and dissertation works, and served as a professional advisor for undergraduate and master's students. Her research has resulted in significant publications including monographs, chapters in edited volumes, and numerous papers in ISI-ranked journals. She has led or participated in 15 national/international research projects, demonstrating strong grant acquisition capabilities. Daniela SUTEU has been actively involved in developing teaching materials, with 7 published courses, 9 laboratory guides, and 1 problem collection. She has also developed online course materials for several disciplines. Her work extends to environmental management applications, particularly in waste valorization and sustainable technologies for pollutant removal from aqueous media.

Artur Caetanoمشاهده پروفایل

استاد

• Enterprise Engineering
• Enterprise Modeling
• Business Process Management
• +۶ مورد دیگر

Artur Caetano is a tenured Professor of Information Systems at the Department of Computer Science and Engineering, Instituto Superior Técnico (IST), University of Lisbon, Portugal. His research focuses on semantic data processing for enterprise modeling, digital preservation, and service-oriented systems. He works as a senior researcher at INESC-ID's Information and Decision Support Systems group and serves as a consultant at INOV's Centre for Organizational Design & Engineering. Affiliations: University of Lisbon, INESC-ID, INOV Research Areas: Enterprise Engineering, Business Process Management, Semantic Techniques, Digital Preservation His work spans European R&D projects like TIMBUS, E-ARK, and 4C, addressing challenges in business process continuity, digital curation cost modeling, and preservation of execution contexts. He contributes to international conferences (ACM SAC, ECIS, IEEE CBI) and journals (IEEE Transactions on SMC, Enterprise Information Systems), focusing on ontology-based enterprise architecture, model consistency, and legal constraints in digital preservation. He actively participates in academic service through editorial boards and conference track chairing, including ACM SAC Enterprise Engineering tracks and IEEE EDOC workshops. His academic affiliations are supported by memberships in ACM, IEEE, INCOSE, and CIAO Enterprise Engineering Network.

José Fragoso Santosمشاهده پروفایل

استادیار

• JavaScript Verification
• Formal Methods
• Symbolic Execution
• +۳ مورد دیگر

Welcome to my home page. I am an Assistant Professor at the Department of Computer Science and Engineering, Instituto Superior Técnico, University of Lisbon, and a researcher at INESC-ID's SAT group. My work focuses on embedding formal methods into software development, particularly for JavaScript programs. PhD in Computer Science, University of Nice Sophia Antipolis (2014) MSc in Information Systems and Computer Engineering, Instituto Superior Técnico (2008) My research spans JavaScript verification, symbolic execution, and separation logic. I developed JaVerT, the first separation-logic-based tool for JavaScript analysis, used by Amazon to verify the AWS Encryption SDK and recognized with a Facebook Research Award. Recent publications highlight trends in symbolic execution, JavaScript security, and WebAssembly analysis. Key projects include Gillian (multi-language symbolic execution platform), Rexstepper (regular expression debugger), and Wasmati (WebAssembly vulnerability scanner). Facebook Research Award Supervised students include PhD researcher Gabriela Cunha Sampaio and MSc students Pedro Lopes, Carolina Costa, and others. Current teaching subjects: Analysis and Synthesis of Algorithms, Object-Oriented Programming, Software Security. Affiliated with the SAT group at INESC-ID and the Verified Trustworthy Software Specification group at Imperial College London.

Michael H. Birnbaumمشاهده پروفایل

استاد

• Judgment and Decision Making
• Mathematical Models of Behavior
• Psychophysics
• +۳ مورد دیگر

Michael H. Birnbaum is a Professor at the California State University, Fullerton , Department of Psychology, specializing in judgment and decision making , psychophysical and social judgment , and mathematical models of behavior . He directs the Decision Research Center and has held leadership roles in multiple societies, including the Society for Mathematical Psychology , Society for Judgment and Decision Making , and Society for Computers in Psychology . Research Interests Violation of stochastic dominance Transitivity and independence properties Prospect theory and cumulative prospect theory Branch-splitting independence Gain-loss separability Recent Publications focus on testing critical properties of decision models, including priority dominance, lexicographic semiorders, and response variability. His work includes experiments on risk assessment , mixed gambles , and Internet-based behavioral research . Scientific Awards : 1991 : Outstanding Professor, CSUF 2014 : L. Donald Shields Award for Scholarship and Creativity Grants include multiple NSF awards (SBR-9410572, SES-9986436, BCS-0129453, SES-0202448). He has developed online decision calculators and experimental programs for public participation.