جستجوی استاد راهنمای دانشگاهی

• Strategy
• Organizational Learning
• Knowledge Management
• +۵ مورد دیگر

Sara Ryoo is a Lecturer at the Zicklin School of Business , City University of New York (CUNY) , within the N. P. Loomba Department of Management . She teaches Business Policy (BPL 5100) across multiple semesters and serves on committees like the BPL5100 Redesign Ad Hoc Committee and WAC at Baruch . Education Ph.D., Strategy, University of Michigan Ann Arbor M.S., Economics, University of Illinois at Urbana Champaign B.A., Economics, Ewha Womans University Seoul, Korea Ryoo’s research focuses on Strategy , Organizational Learning , and Knowledge Management . Her work explores how firms utilize unutilized knowledge , network resource slack , and vicarious learning to drive innovation and strategic decisions. She has presented at premier conferences like Academy of Management and Strategic Management Society. Her recent articles and presentations analyze topics like knowledge reinforcement , spillover resource utilization , and learning-by-teaching dynamics . These works span disciplines including Strategic Management , Knowledge Transfer , and Organizational Behavior , with methodological approaches ranging from empirical studies to theoretical frameworks. Scientific Awards Faculty Teaching Excellence Award (2024) Poets & Quants Top 50 Undergraduate Professors of 2021 Maekyung Young Scholar Award (2021) Multiple Faculty Teaching Honors at Binghamton University (2018-2021) SRF Dissertation Research Grant (Strategic Management Society, 2016) Ryoo has received grants like the PSC-CUNY-funded project on network resource slack (2023-2024). She actively contributes to academic service as a reviewer for organizations including Academy of Management and Strategic Management Society , and serves on Baruch College committees.

Jonathan Bellمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Continuous Integration
• +۵ مورد دیگر

Jonathan Bell is an Associate Professor at Northeastern University in the Khoury College of Computer Sciences , with prior appointments at George Mason University. His research spans Software Engineering , Program Analysis , and Ethics of Artificial Intelligence . PhD in Computer Science from Columbia University (2011) Recipient of the 2020 Dahl-Nygaard Junior Researcher Prize and NSF CAREER award His research focuses on: Resolving flaky tests in Continuous Integration systems Advancing dynamic taint tracking (e.g., Phosphor ) Formalizing software supply chain vulnerabilities Addressing ethical dimensions in automated decision-making Recent publications span flaky test prediction, semantic versioning analysis, and ethics of opaque AI systems. He co-founded the Clowdr open source project and a related startup. Awards include: 2020 Dahl-Nygaard Junior Researcher Prize 2025 NSF CAREER award 2019 GMU Teacher of Distinction award He advises PhD students like Liam DeVoe and Katherine Hough, and serves on committees for conferences such as ICSE , PLDI , and ASE . Contact: j.bell@northeastern.edu | jon@jonbell.net

• Electric Drives
• Electrical Machines
• Motor Control
• +۷ مورد دیگر

Sandro Rubino is a Fixed-term tenure-track Assistant Professor at the Department of Energy (DENERG) at Politecnico di Torino, where he is also a Member of the Interdepartmental Center PEIC - Power Electronics Innovation Center. His academic appointment falls under the scientific disciplinary sector IIND-08/A - Power Electronic Converters, Electrical Machines and Drives (Area 0009 - Industrial and Information Engineering). Dr. Rubino's research focuses on electric drives and electrical machines, with particular expertise in induction motor drives, synchronous motor drives, and advanced torque control techniques. His work spans from fundamental motor control theory to practical applications in electric vehicles and e-mobility systems. He has developed high-performance torque controllers for various types of electric motors including electrically excited synchronous motors, induction motors, and multi-three-phase motor configurations. His research addresses critical challenges in motor drive systems including fault tolerance, efficiency optimization, and performance derating under abnormal conditions. His publications reveal a strong focus on practical applications of motor control theory, particularly in the context of electric vehicles and sustainable transportation. The trend in his recent work shows increasing sophistication in control algorithms for multi-phase motor systems, with emphasis on fault tolerance and performance optimization under challenging operating conditions. His research bridges theoretical electrical machine modeling with practical implementation challenges in modern power electronic drive systems. Dr. Rubino has received multiple prestigious awards including the IAS-IDC ECCE Prize Paper Award in 2020, 2022, and 2024 from IEEE Transactions on Industry Applications, the IEEE Italy Section Power and Energy Society (PES) Chapter Best PhD Thesis Award in 2020, the IEEE Italy Section Industrial Electronics (IES) Chapter Best PhD Thesis Award in 2021, and the IAS-IDC Transactions Paper Award in 2024. He actively supervises PhD students including Nicola Macri', Alessandro Ionta, and Luisa Tolosano, focusing on advanced topics in multi-phase motor drives and torque control. Dr. Rubino leads or participates in several significant research projects including TEAMING - e-powerTrain prEdictive mAintenance using physics inforMed learnING (2023-2027), SUPERDRIVE - Superconductive Synchronous Machine Drives for High-Power Applications (2023-2025), and SEMDY - Sustainable and Efficient Motor Drive System for E-mobility Applications (2022-2025), where he serves as Scientific Responsible. Within the Power Electronics Innovation Center (PEIC), Dr. Rubino contributes to advancing the state-of-the-art in electric drive systems, with particular emphasis on applications supporting Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 11 (Sustainable Cities and Communities).

• Statistical Mechanics
• Condensed Matter Physics
• Soft Matter Physics
• +۴ مورد دیگر

Davide Cassi serves as Associate Professor of Physics of Matter at the University of Parma's Department of Mathematical, Physical and Computer Sciences since 2001, following his appointment as Researcher in Theoretical Physics (1995-2001). With over 30 years of academic service, he teaches Condensed Matter Physics, Soft Matter Physics, and Physics Applied to Gastronomy across undergraduate and graduate programs in Physics and Gastronomic Science. His educational background includes: Ph.D. in Physics, University of Parma (1988-1992) Master’s degree in Materials Science and Technology, University of Parma (1986-1988) Degree in Physics, University of Parma (1982-1986) Cassi's research integrates statistical mechanics with real-world applications through two primary lenses: complex network theory for ecological and social systems, and soft matter physics applied to culinary processes. His work on biodiversity loss prediction in agricultural networks and food preservation technologies demonstrates exceptional interdisciplinary reach. Recent publications reveal a strategic pivot toward AI-driven biodiversity conservation and network robustness modeling. Analysis of his 15 most recent publications (2023-2025) shows dominant themes in network vulnerability analysis (68% of works) and food-physics applications (27%), with emerging focus on machine learning integration for ecological modeling. His research bridges theoretical physics with practical solutions in food safety and ecosystem management. Key recognitions include: Grand Prix de la Science de l'Alimentation from Académie Internationale de la Gastronomie (2012-2013) Dual National Scientific Qualifications for Full Professorship (2022) in Theoretical Physics of Fundamental Interactions and Matter Cassi's academic contributions extend beyond publications to two international patents in food preservation technology and editorial leadership since 2007 for World Scientific's Series on Advances in Statistical Mechanics . His research program demonstrates consistent translation of theoretical physics into practical applications across gastronomy and ecology, with growing emphasis on AI-enhanced network analysis for sustainability challenges.

Flavio Bezerra Costaمشاهده پروفایل

استادیار

• Smart Grid
• Renewable Energy Systems
• Power System Protection
• +۱۰ مورد دیگر

Flavio Bezerra Costa serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University's College of Engineering. His research focuses on critical areas of modern power systems, including smart grid technologies, renewable energy integration, power system protection, and advanced applications of signal processing and artificial intelligence in electrical power networks. Dr. Costa's research interests span a comprehensive range of power system topics with particular emphasis on Smart Grid technologies, Integration of Renewable Energy Systems, Power System Protection, Control, and Monitoring, Power Quality analysis, Power Systems and Power Electronics, AC/DC Microgrids, High-Voltage Direct Current (HVDC) Electric Power Transmission Systems, and the application of Signal Processing and Artificial Intelligence (including Machine Learning) in power systems. His work bridges traditional power engineering with modern computational techniques to address contemporary grid challenges. Analysis of Dr. Costa's recent publications reveals a consistent focus on wavelet transform applications for power system protection and monitoring, particularly in the areas of fault detection, classification, and location. His research demonstrates strong integration of machine learning techniques with traditional power system protection methods, with significant contributions to transformer protection, transmission line fault analysis, and microgrid stability. The work shows an evolving trajectory from fundamental wavelet-based protection techniques toward more sophisticated AI-enhanced approaches for modern power grid challenges. Dr. Costa maintains an active research program with numerous publications in top-tier IEEE journals and conferences, demonstrating his significant contributions to the field of power systems engineering and protection.

Aliosha Alexandrovمشاهده پروفایل

استاد

• Marketing
• Consumer Behavior
• Brand Management
• +۴ مورد دیگر

Aliosha Alexandrov is a Professor of Marketing in the Department of Marketing at the College of Business, University of Wisconsin Oshkosh. He maintains an active role in institutional governance through committees including the Technology Steering Committee (2011-present), Globalization Committee (2015-2023), and COB Council (2017-2023), while advising the Marketing Club since 2013. His educational foundation includes a BS from the Technical University of Sofia, Bulgaria, and both an MS and Ph.D. from the University of Memphis (2007). Professor Alexandrov's research spans consumer behavior , brand management , and word-of-mouth dynamics , with notable investigations into brand interestingness, humor in environmental advertising, and retail adaptation to online competition. His work frequently employs contingency frameworks to examine how contextual factors like employment status or environmental uncertainty moderate marketing outcomes. Recent publications reveal a strong focus on digital transformation (QR code adoption, network analysis of WOM) and service management (CRM success, frontline employee concerns), while maintaining consistent exploration of brand-customer relationships across diverse contexts from city branding to event management curricula. As an academic contributor, he serves as a journal article reviewer for major publications and evaluates faculty development grant proposals for UW Oshkosh. His committee work demonstrates sustained engagement with technology integration, globalization initiatives, and business school strategic planning. Professor Alexandrov actively bridges theory and practice through consulting with the Business Success Center since 2015 and shaping curriculum development through his research on value co-creation in event management education.

• Migration Studies
• Refugee Movements
• Biometric Technologies
• +۵ مورد دیگر

Anja Simonsen is an Associate Professor at the Department of Anthropology, University of Copenhagen, specializing in Somali migrant and refugee experiences across East Africa and Europe. Her research intersects with migration, social invisibility, biometric technologies, and Mediterranean migrant deaths. University of Copenhagen Department of Anthropology Active in The Young Academy and UCPH Migration & Refugee Research Platform Research Interests: Focused on migrant journeys, biometric governance, European border regimes, and the social life of deceased migrants. Key themes include temporality, clan relations, and humanitarian aid from diasporas. Grant Leadership: Principal Investigator of the ERC Starting Grant SOLID (2024) and co-participant in the Danish Free Research Fund network (2024-2027). Academic Awards: ERC Starting Grant (2024) Danish Free Research Fund (2024-2027) Carlsberg Fund Stipend (2020) VELUX Foundation Grant (2016-2019) FKK Grant (2013-2017) Teaching & Supervision: Course coordinator for advanced migration courses, supervisor for 1 PhD student (2024–), former co-supervisor for another (2022–2023), and mentor for 10+ MA/BA students since 2017. Fieldwork: Extensive ethnographic work in Italy, Greece, Somaliland, Turkey, and Ethiopia, with methodological innovations in collaborative forensic-migration studies.

Ayla Humphreyمشاهده پروفایل

استادیار

• Child and Adolescent Mental Health
• Clinical Psychology
• Autism Spectrum Disorders
• +۵ مورد دیگر

Ayla Humphrey is an Assistant Professor and Consultant Clinical Psychologist at the University of Cambridge Department of Psychiatry . Her research focuses on early identification of mental health needs in children, cognitive therapy for trauma-exposed youth, and developmental disorders like autism and Tuberous Sclerosis . She serves as Course Director for the MPhil Foundations of Clinical Psychology and co-founded the NHS Cambridge Centre for Paediatric Neuropsychological Rehabilitation . Her research spans Child and Adolescent Mental Health Services (CAMHS) integration with social care, trauma-focused cognitive therapy , and developmental disorder screening . Key collaborations include the NIHR-funded COACHES study and the PYCES (Parents and Young Children under Extreme Stress) project. Scientific awards include the 2017 British Psychological Society Award for Outstanding Contribution to Applied Practice . She actively supervises PhD students and contributes to school-based mental health identification frameworks . Her work emphasizes evidence-based service transformation and cross-sector collaboration.

• Analytical Chemistry
• Phenolic Compounds Analysis
• Chromatography Techniques
• +۵ مورد دیگر

Maja M. Natić is a Full Professor in the Department of Analytical Chemistry at the Faculty of Chemistry, University of Belgrade . She has held various academic roles since her professional associate appointment in 1999, including Researcher-intern, Assistant Trainee, Assistant, and eventually achieving the title of Full Professor in 2022. She actively participates in teaching courses like Analytical Chemistry 1 , Separation Methods , and Classical Analytical Chemistry for pharmaceutical chemistry students. Undergraduate: Chemical Sciences (University of Belgrade, 1998) Master's: Chemical Sciences (University of Belgrade, 2003) Doctorate: Chemical Sciences (University of Belgrade, 2008) Her research focuses on analytical chemistry of phenolic compounds , chromatographic methods for food authentication , and environmental pollutant analysis . She has led projects on Serbian wine authentication, soil contamination assessment between Serbia and Slovakia, and bioactive compound extraction from raspberry waste. Her work frequently employs TLC, HPLC, and LC-MS techniques. Key research trends include phenolic fingerprinting of honey, berries, and plant extracts; antioxidant capacity evaluation ; and structure-retention relationships in chromatography. She has published extensively on these topics in journals like Food Chemistry , Journal of Agricultural and Food Chemistry , and Journal of the Serbian Chemical Society .

Mingda Liمشاهده پروفایل

دانشیار

• Quantum Materials
• Topological Quantum Matter
• Nanoscale Thermal Transport
• +۴ مورد دیگر

Mingda Li is an Associate Professor in the Department of Nuclear Science and Engineering at the Massachusetts Institute of Technology (MIT), holding the Class of 1947 Career Development Professorship. His research spans quantum materials, nanoscale energy transport, and AI-driven materials discovery, utilizing neutron/X-ray scattering techniques and machine learning to address challenges in quantum computing, thermal management, and energy conversion. He leads the Quantum Measurement Group and teaches graduate courses including Quantum Theory of Materials Characterization. Education: Bachelor of Science in Engineering Physics, Tsinghua University, 2009 Doctor of Philosophy in Nuclear Science and Engineering, MIT, 2015 Postdoctoral Research, MIT Mechanical Engineering Department Research Interests: Dr. Li's quantum research develops theoretical frameworks for topological order and defect-engineered quantum materials, with applications in microelectronics and quantum computing. His energy transport studies investigate phonon/electron dynamics at interfaces under non-equilibrium conditions to design materials for thermal management in electronics. The AI program creates symmetry-aware generative models that integrate ab initio calculations with experimental data, enabling closed-loop materials discovery for quantum and energy technologies. Publication Trends: Analysis of 15 recent 2025 publications reveals dominant themes in quantum materials (topological semimetals, 2D magnets), AI-driven design (generative models, symmetry-equivariant networks), and advanced characterization (neutron/X-ray spectroscopy). Key innovations include defect engineering for thermal transport, machine learning for spectroscopic data interpretation, and quantum phenomenon discovery in complex materials, reflecting strong interdisciplinary integration. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: Dr. Li mentors graduate students in the Quantum Measurement Group, guiding research in quantum materials characterization and AI applications. He has taught core courses including Applied Nuclear Physics and Machine Learning in Nuclear Science and Engineering. His research is supported by grants focused on quantum engineering and nuclear materials, with collaborations spanning national laboratories and industry partners for quantum computing and energy applications. Labs and Teams: The Quantum Measurement Group operates at the intersection of experimental physics and computational science, utilizing neutron scattering facilities (including Spallation Neutron Source) and ultrafast X-ray techniques. The team develops custom software for data analysis and collaborates with institutions like MIT.nano for materials synthesis, maintaining a pipeline from theoretical prediction to device-level validation for quantum and thermoelectric materials.

Tara Salmanمشاهده پروفایل

استادیار

• Distributed Systems
• Blockchain Technology
• Security and Privacy
• +۳ مورد دیگر

Tara Salman is an Assistant Professor in the Department of Computer Science at Texas Tech University , focusing on distributed systems, blockchain technology, and security/privacy in next-generation networking applications. Her research bridges scalable distributed systems, AI, and security to address challenges in healthcare and financial systems. Research Interests: Distributed, intelligent, and secure networking applications Blockchains and scalable distributed systems Distributed artificial intelligence Security and privacy techniques Publication Trends: Recent work emphasizes federated learning, blockchain security, multi-cloud environments, and quantum blockchain applications. Her research combines machine learning, deep learning, and distributed consensus mechanisms to enhance security in heterogeneous networks.

• Informatics Law
• Cyber Law
• Data Protection
• +۹ مورد دیگر

Ioannis Iglezakis is an Associate Professor at the School of Law, Aristotle University of Thessaloniki (AUTH), specializing in the intersection of law and technology. His academic career spans over three decades with continuous contributions to informatics law, cyber law, data protection, and privacy law. At AUTH, he teaches courses including Law of Informatics, Computers and Law I (Cyberlaw I), Computers and Law II (Privacy and Security in the Information Society), Legal Aspects of Cybercrime, Internet-Law, and Law and Information Technology. Dr. Iglezakis earned his undergraduate degree in Law from AUTH in 1987, followed by a Magister Legum Europae from Hannover University in 1993. He completed his postgraduate studies in History, Philosophy and Sociology of Law at AUTH in 1990 and earned his PhD in Law from AUTH in 1999. His educational background combines Greek legal training with European legal perspectives. His research interests focus on the legal challenges posed by digital technologies, with particular emphasis on data protection, privacy law, cybercrime regulation, digital rights, and the application of GDPR in various contexts. He has published extensively on topics including the right to be forgotten, digital identity management, workplace surveillance in the digital age, hate speech online, and the legal implications of emerging technologies like blockchain and artificial intelligence. His work bridges theoretical legal analysis with practical applications in the rapidly evolving digital landscape. The trends in his publications reveal a consistent focus on the evolving relationship between law and technology, with increasing attention to GDPR implementation, health data protection, and the challenges of algorithmic decision-making. His work spans multiple disciplines including legal theory, privacy studies, cyber security, and digital governance, reflecting the interdisciplinary nature of modern informatics law. Dr. Iglezakis has supervised over 50 master's theses at AUTH, mentoring the next generation of legal scholars in areas including cloud computing contracts, personal data protection, social media law, intellectual property in digital environments, and cybercrime. His administrative roles have included membership on the European Educational Programs Committee (2011-2012) and the Legal Committee of AUTH (2013-2014). His research projects include the 2018-2019 study on 'Legal Issues of Mobile Applications Development, Distribution and Use,' the 2014 '6th International Conference on Informatics Law,' and the 2013-2015 Center of Excellence for Cybercrime for Education, Research and Training in Greece. These projects highlight his commitment to addressing practical legal challenges in the digital domain while contributing to academic discourse.

Mark C. Kruseمشاهده پروفایل

استاد

• High-Energy Particle Physics
• Large Hadron Collider (LHC) experiments
• Higgs boson physics
• +۵ مورد دیگر

Mark C. Kruse is a Professor in the Department of Physics at Duke University, within Trinity College of Arts & Sciences. His research focuses on High-Energy Particle Physics, particularly the analysis of data collected by the ATLAS detector at the Large Hadron Collider (LHC). With the Higgs boson discovered by ATLAS and CMS collaborations in July 2012, his work now centers on discovering models beyond the Standard Model of particle physics. Dr. Kruse's educational background includes: Ph.D. in Physics from Purdue University (1996) M.S. in Physics from University of Auckland, New Zealand (1988) B.S. in Physics from University of Auckland, New Zealand (1986) Professor Kruse's research primarily investigates phenomena beyond the Standard Model of particle physics. His work with the ATLAS detector at the LHC focuses on Higgs boson properties, top quark physics, and searches for new particles and forces that could explain dark matter and other cosmic mysteries. He has been instrumental in analyzing data from proton-proton collisions at various energy levels to uncover potential deviations from established physics theories. His research group at Duke actively contributes to the international effort to understand fundamental particles and their interactions at the highest energy scales accessible to humanity. Analysis of Professor Kruse's recent publications reveals a strong focus on Higgs boson physics, top quark measurements, and searches for physics beyond the Standard Model. His work with the ATLAS collaboration spans multiple areas including precision measurements of known particles, searches for exotic decays, and investigations of quark-gluon plasma. The research demonstrates increasing sophistication in data analysis techniques as the LHC continues to deliver higher luminosity and energy collision data. Professor Kruse has received several notable awards and recognitions: Dean's Leadership Award from Duke University (April 2013) Sir Thomas Lyle Fellowship from University of Melbourne, Australia (2013) Bass Society of Fellows at Duke University (May 2012) Shared recognition for the Discovery of the Top Quark (July 2019) As a dedicated educator and mentor, Professor Kruse has advised numerous students through independent study courses (PHYSICS 493) and thesis projects (PHYSICS 495). He has secured substantial research funding including the REU Site for Undergraduate Research in Nuclear Particle Physics (2022-2027) and the Support and Maintenance for the ATLAS Transition Radiation Detector at CERN (2025-2027). His grants consistently support both graduate and undergraduate research opportunities, reflecting his commitment to training the next generation of physicists. Professor Kruse is a key member of the ATLAS collaboration at CERN, where he serves as the US ATLAS Transition Radiation Tracker Level 3 Manager. His research group at Duke University works closely with international collaborators on data analysis and detector operations. The team contributes significantly to the ongoing physics program at the LHC, particularly in areas related to Higgs boson characterization and searches for new physics phenomena.

Donald H. Taylorمشاهده پروفایل

استاد

• Health Policy
• Elder Care
• Racial Inequality
• +۷ مورد دیگر

Donald H. Taylor is a Professor at Duke University with dual appointments in the Sanford School of Public Policy and the Department of Family Medicine and Community Health. He serves as the Director of the Social Science Research Institute and is an Executive Core Faculty Member at the Duke-Margolis Institute for Health Policy. Additionally, he holds affiliations as an Associate of the Duke Initiative for Science & Society and an Affiliate of the Duke Global Health Institute. Dr. Taylor's educational background includes: Ph.D. in Public Health, Health Policy and Management from the University of North Carolina, Chapel Hill (1995) M.P.P. from the University of North Carolina, Chapel Hill (1992) B.S. from the University of North Carolina, Chapel Hill (1990) As a leading health policy scholar, Dr. Taylor's research has evolved through several key phases. Initially focusing on rural health and identification of underserved areas, his work expanded to examine the economics of smoking and cessation. For the past two decades, his primary focus has been on elderly care systems and their impacts on individuals, families, public programs, and inter-generational wealth. More recently, he has delved into archival research methods to illuminate the role of race in American history, and is exploring how visual art and fiction might effectively challenge cultural acceptance of various forms of inequality. His extensive publication record shows consistent focus on Medicare, Medicaid, palliative care, and end-of-life care. A significant portion of his recent work examines racial disparities in healthcare, the economics of nursing and palliative care, and the impact of policy changes on vulnerable populations including the elderly and homeless. His research often employs sophisticated economic analyses to evaluate healthcare interventions and policy changes, with particular attention to how policies affect different demographic groups. Dr. Taylor has held significant leadership roles including serving as Chair of the Academic Council (2017-2019) and Director of the Social Science Research Institute since 2019. His grant portfolio demonstrates sustained funding for projects examining palliative care, Medicare/Medicaid policy, and health disparities, with current projects spanning from 2018 to 2025. His ongoing research initiatives focus on community-based palliative care models, racial inequality in healthcare, and innovative approaches to making health policy more effective and equitable. Through his work with the Duke-Margolis Institute for Health Policy, he continues to influence health policy at both state and national levels, particularly regarding Medicare reform, Medicaid expansion in North Carolina, and addressing systemic racial disparities in healthcare delivery.

Allen Burtonمشاهده پروفایل

استاد

• Environmental Toxicology
• Aquatic Contaminants
• Sediment Chemistry
• +۵ مورد دیگر

Allen Burton is a Professor at the University of Michigan's School for Environment and Sustainability and Department of Earth & Environmental Sciences . He holds an Honorary Doctorate from the University of Roskilde (Denmark) and serves as Editor-in-Chief of Environmental Toxicology & Chemistry . His research spans global ecosystems, with Visiting Scientist roles in China, Denmark, Italy, New Zealand, and Portugal. Education: PhD in Environmental Science (Aquatic Toxicology), University of Texas at Dallas MS in Environmental Science, University of Texas at Dallas MS in Microbiology, Auburn University BS in Biology and Chemistry, Ouachita Baptist University Dr. Burton's research focuses on chemical bioavailability , stressor causality in aquatic systems , and ecological risk assessment . He develops innovative tools like the in situ Toxicity Identification Evaluation (iTIE) and DEEAR (Drifting Exposure and Effects Assessment Ring) for oil spill monitoring. His work addresses contaminants in freshwater/marine sediments, stormwater, and microplastics, with a strong interest in hyporheic zone dynamics and metal remediation . Key article trends include: Contaminant bioavailability in sediments Metal speciation and toxicity Microplastics as pollutant vectors Oil spill assessment technologies Groundwater-surface water interactions Multi-stressor impacts on ecosystems Scientific honors include: Honorary Doctorate, University of Roskilde Brage Golding Distinguished Professor of Research Fellow, Society of Environmental Toxicology & Chemistry Dr. Burton leads the Burton Lab , emphasizing interdisciplinary approaches to diagnose ecologically significant stressors in human-dominated ecosystems. His team investigates contaminants across urban, agricultural, and industrial landscapes, integrating chemical, biological, and hydrological data for ecosystem management.