جست‌وجوی استاد و پژوهشگر

Rachel Martinمشاهده پروفایل

دانشیار

• Compensation and Performance Evaluation Incentives
• Psychological/Sociological Influences on Control Design
• Judgment and Decision-Making
• +۳ مورد دیگر

Dr. Rachel Martin is an Associate Professor at the School of Accountancy within Utah State University's Jon M. Huntsman School of Business. She holds a PhD in Accounting from the University of Wisconsin-Madison (2015), an MAcc and BBA from the University of Arkansas-Fayetteville (2007). Prior to academia, she worked at Walmart Stores, Inc., focusing on strategy development, budgeting, and sustainability. Her research explores compensation incentives, psychological/sociological influences on control systems, and decision-making dynamics. She teaches advanced managerial accounting courses (ACCT 6310/3310 series) and strategic finance topics. Her work bridges behavioral economics and organizational practices, with notable contributions to executive compensation securitization links and AI's role in accounting education. Key research contributions include analyzing target-setting behaviors influenced by compensation discretion, contractual framing effects on performance, and investor perception studies. Her teaching spans over 15 years with focus areas like cost management systems and managerial decision-making frameworks. Dr. Martin's work addresses contemporary issues such as AI's impact on educational assessment and ethical considerations in managerial compensation structures. Her publications span top journals in law, finance, and accounting, with peer-reviewed works addressing financial crisis dynamics, executive pay structures, and experimental finance methodologies. Current research continues exploring judgment biases in organizational systems and incentives for sustainable business practices.

Andrew Hemmingsمشاهده پروفایل

دانشیار

• Equine Behavioral Neuroscience
• Animal Welfare
• Neurophysiology
• +۳ مورد دیگر

Dr. Andrew Hemmings is an Associate Professor in Equine Research Leadership at the Royal Agricultural University (RAU). He holds a PhD in The Neurobiology of Equine Stereotypic Behaviour from Aberystwyth University, complemented by an MSc and BSc in Equine/Animal Science. His research focuses on equine behavioral neuroscience , particularly the neurobiological basis of stereotypic behaviors, welfare indicators, and cognitive profiling. He leads collaborative projects on topics like stable lighting effects, racehorse welfare, and neurocognitive differences between horse breeds. Roles: Chair of Research Ethics Committee, Student Support Champion Education: PhD: The Neurobiology of Equine Stereotypic Behaviour (Aberystwyth University) MSc: Equine Science (Aberystwyth University) BSc (Hons): Equine/Animal Science (2:1) Research Interests: Dr. Hemmings pioneers non-invasive techniques such as blink rate analysis to study dopaminergic systems and equine welfare. His work bridges neuroscience and applied equitation science, aiming to improve animal management practices. Key areas include stress physiology, cognitive dysfunction, and the development of brain-based welfare indicators. Collaborations: His projects involve institutions like Hartpury University, Bristol Vet School, and Charles Sturt University. Notable studies include: - Environmental impact of horse grazing systems - Neurocognitive phenotypes of stereotypic behaviors - Predictors of competition performance in equine athletes Teaching & Engagement: He emphasizes knowledge transfer through workshops and public lectures, ensuring research findings inform practical horse management. His lab supports both undergraduate and postgraduate research, with over a dozen supervised students completing MScR and PhD programs. Grants & Impact: His work on blink detection technology and genetic variants in racehorses demonstrates applied research potential. Recent studies address rider weight impacts and equine stress biomarkers, contributing to evidence-based practices in equine welfare.

Edward Carpenterمشاهده پروفایل

استاد

• Marine Phytoplankton Ecology
• Ocean Acidification
• Microbial Ecology
• +۶ مورد دیگر

Edward Carpenter is a retired Professor at San Francisco State University, continuing to teach part-time. His research focuses on marine phytoplankton ecology, ocean acidification impacts, microbial ecosystems in Antarctic environments, and the influence of river plumes on tropical Atlantic plankton communities. He leads the Carpenter Lab, investigating Antarctic glacial meltwater microbial mats, Emiliania huxleyi calcification responses to acidification, and Amazon River plume effects on phytoplankton dynamics. Education: Ph.D. from North Carolina State University. Research locations include the Antarctic Dry Valleys, Amazon River plume regions, and Australian coastal waters. He has pioneered studies on microplastic biofilm interactions and diazotroph databases contributing to global nitrogen cycling models. Key research themes include: microbial adaptation in extreme environments, ocean acidification physiology, and the role of riverine inputs in shaping marine biogeochemistry. Future projects aim to explore Amazon River plume ecology and dust aerosol impacts on phytoplankton. Awards: Not explicitly listed in provided texts. Grants include collaborative NSF-funded projects on Antarctic microbial mats and Alaska coastal observatories. His work integrates field studies, molecular techniques, and satellite remote sensing to address climate change impacts.

Natalie Haynesمشاهده پروفایل

استاد

• Hospitality Revenue Management
• Hotel Pricing Strategy
• Big Data Applications in Tourism
• +۴ مورد دیگر

Natalie Haynes serves as Division Head for Global Business, Hospitality and Tourism Management within Sheffield Business School at Sheffield Hallam University, leading academic programs in international business, hospitality management, tourism management, and aviation. Her leadership spans recruitment, employability, and international partnerships since assuming the role in 2024. Her research expertise focuses on Hospitality Revenue Management , Hotel Pricing Strategy , and Big Data Applications in Tourism , with significant contributions to understanding how data-driven systems impact pricing decisions. She examines revenue management across diverse sectors including hotels, campsites, and visitor attractions, while also exploring gender dynamics in the event industry. Analysis of her 15 most recent publications reveals a strong emphasis on post-pandemic revenue recovery , temporal pricing models , and ethical considerations in hospitality operations . Her work bridges theoretical economic principles with practical revenue management applications, increasingly incorporating big data analytics while questioning over-reliance on automated systems. Senior Fellow of the Higher Education Authority Editorial Board Member, Journal of Tourism Futures Natalie actively supervises DBA and PhD students in innovation and smart services while serving as an external examiner for other institutions. Her industry background in hotel sales, marketing, and revenue management with major brands provides practical grounding for her academic work, particularly evident in her collaborative white paper on hospitality management education with the Council of Hospitality Management Education.

• Economics
• Quantitative Analysis
• Econometrics
• +۱ مورد دیگر

Yiyi Zhou is an Associate Professor in the Department of Economics at Stony Brook University. He holds a tenure-track position and is affiliated with the Social and Behavioral Sciences Building (Office N-625). His contact information includes a publicly listed email address and an academic webpage. While his formal academic affiliation is in Economics, his published research demonstrates expertise in high-energy physics and particle detection technologies, particularly through contributions to the ATLAS experiment at CERN. His work focuses on analyzing multiparticle correlations, collision dynamics, and detector performance in heavy-ion and proton-proton collisions. Zhou's research outputs from 2016-2019 highlight advancements in understanding collective phenomena in small collision systems, centrality fluctuations, and the performance of trigger systems in high-energy environments. His studies often employ advanced statistical methods like subevent cumulant analysis to probe fundamental aspects of quantum chromodynamics.

Bin Zhangمشاهده پروفایل

دانشیار

• Prognostics and Health Management
• Fault Detection and Isolation
• Failure Prognosis
• +۸ مورد دیگر

Dr. Bin Zhang is an Associate Professor in the Department of Electrical Engineering at the Molinaroli College of Engineering and Computing, University of South Carolina. With over 20 years of experience in prognostics and health management, intelligent systems and control, and robotics, he has established himself as a leading researcher in battery management systems, power electronics, and fault-tolerant control systems. Dr. Zhang's educational background includes: Ph.D. in Electrical Engineering from Nanyang Technological University, Singapore M.E. in Mechanical Engineering from Nanjing University of Science and Technology, China B.E. in Mechanical Engineering from Nanjing University of Science and Technology, China His research focuses on active approaches to achieve intelligent smart systems with self-situational-awareness and self-adapting capabilities. Primary interests include prognostics and health management (PHM), which covers fault detection and isolation, failure prognosis, and fault tolerance; robotics and unmanned systems; intelligent systems and control; and dynamic systems design, modeling, simulation and control. His work integrates physics-based models with data-driven techniques and computational intelligence, including pattern recognition and machine learning. Analysis of Dr. Zhang's recent publications reveals a strong emphasis on battery modeling (particularly lithium-ion batteries), power electronics control (including fractional order delay and virtual variable sampling techniques), and deep learning methods (including graph neural networks, deep residual convolutional neural networks, and deep belief networks). His research spans multiple application domains including power grids, batteries, aircraft, helicopters, and manned/unmanned vehicles. Dr. Zhang serves as Associate Editor for prestigious journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Neurocomputing. He is a Senior Member of IEEE and a member of ASME. As director of the Resilient Systems Laboratory, Dr. Zhang advises numerous graduate students working on cutting-edge research in battery technology, power cable insulation, and control systems. His lab is equipped with advanced facilities including an 8-channel ARBIN BT-Smart battery testing system, power electronics control systems, cable/wire testing systems, rotating machinery testing systems, and unmanned vehicles including quadrotors and hexacopters.

Jinjun Shanمشاهده پروفایل

استاد

• Dynamics
• Control Systems
• Navigation
• +۱۱ مورد دیگر

Professor Jinjun Shan is a Full Professor of Space Engineering and former Department Chair (2018-2023) in the Department of Earth and Space Science and Engineering at York University's Lassonde School of Engineering. An internationally recognized expert in dynamics, control and navigation, he joined York University as an Assistant Professor in 2006, was promoted to Associate Professor in 2011, and became a Full Professor in 2016. Dr. Shan received his B.Eng., M.Eng., and Ph.D. degrees from Harbin Institute of Technology, China, in 1997, 1999, and 2002, respectively. Before joining York, he was a Post-Doctoral Fellow at the University of Toronto Institute for Aerospace Studies (2003-2006) and a Research Assistant at City University of Hong Kong (2002-2003). His research focuses on dynamics, control and navigation, autonomous systems, multi-agent systems, smart materials and structures, space instrumentation, active vibration control, and orbit dynamics. Dr. Shan has made significant contributions to national and international space missions including NEOSSat and has attracted over $5 million in research funding from governmental agencies and industry partners. His laboratory, the Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab), which he founded in 2006, conducts cutting-edge research in space engineering. Dr. Shan's extensive publication record includes over 200 peer-reviewed journal and conference papers, with his most recent work focusing on multi-agent formation control, autonomous vehicle decision-making, quadrotor control systems, and smart material applications. His research shows a clear progression from fundamental dynamics and control theory toward increasingly complex multi-agent systems and real-world applications in autonomous vehicles and space engineering. Fellow of Canadian Academy of Engineering (CAE) Fellow of Engineering Institute of Canada (EIC) Fellow of American Astronautical Society (AAS) Associate Fellow of AIAA Alexander von Humboldt Research Fellowship JSPS Fellowship Lassonde Educator of the Year Award (2022) Named in Stanford's list of world's top 2% researchers Dr. Shan has successfully mentored numerous graduate students and post-doctoral fellows, with current advisees working on cutting-edge projects in multi-agent systems, UAV control, and smart materials. His research is supported by substantial funding from NSERC, CSA, and industry partners. As the founding director of SDCNLab, he has built a comprehensive research facility for spacecraft dynamics, control, and navigation, recently expanding to include autonomous unmanned vehicle research through a CFI JELF award. His laboratory continues to make significant contributions to both theoretical advancements and practical applications in space engineering and autonomous systems.

• Social Psychology
• Cyberpsychology
• Behavior Change
• +۵ مورد دیگر

Professor John McAlaney is a Chartered Psychologist and Chartered Scientist at Bournemouth University's Department of Psychology. He leads the Cyberpsychology research group and is Programme Leader for the BSc Cyberpsychology degree. His research focuses on social psychology and behavior change, particularly in areas like digital addiction, problematic gambling, and socio-technical systems. He holds a PhD from the University of West of Scotland (2007) and has held academic roles at the University of Bradford and London School of Hygiene and Tropical Medicine. He collaborates with the Department of Computing to study human factors in cybersecurity and online social dynamics. Education: Bachelor's degree: University of Stirling MSc: University of Strathclyde PhD: University of the West of Scotland (2007) Research Interests: Social norms approach to behavior change Cyberpsychology applications in digital addiction and gambling Role of human factors in cybersecurity/hacktivism Socio-technical systems and fake news Advising & Grants: Leads the Cyberpsychology research group, oversees the BSc Cyberpsychology program, and collaborates with industry/charities (e.g., Gordon Moody Association for problem gambling). Labs/Teams: Cyberpsychology Research Group, BSc Cyberpsychology Program.

Amanda Jonesمشاهده پروفایل

دانشیار

• Organic Chemistry
• Catalysis
• Gold Complexes
• +۳ مورد دیگر

Amanda Jones is an Associate Professor in the Chemistry Department at Wake Forest University, where she holds an office in Salem Hall. Her research focuses on understanding the mechanisms of gold(I) catalysis, particularly ligand effects on reactivity and stability of gold complexes. She earned her A.B. from Princeton University in 2001 and Ph.D. from the University of Wisconsin-Madison in 2007, followed by an NIH postdoctoral fellowship at the California Institute of Technology. Education: A.B., Princeton University, 2001 Ph.D., University of Wisconsin-Madison, 2007 NIH Postdoctoral Fellow, California Institute of Technology, 2007-2010 Her research interests include gold-catalyzed alkene activation, ligand design for enhanced catalytic efficiency, and spectroscopic studies of organolithium reactivity. Key areas of investigation involve developing cost-effective gold catalysts and understanding structure-reactivity relationships in gold complexes. Her work bridges mechanistic insights with practical applications in pharmaceutical synthesis. Dr. Jones has published extensively on gold π-complexes, ligand effects in catalysis, and enantioselective synthesis. She received the NSF Career Award (2014-2019) for her innovative studies on catalytic cascades and sigmatropic rearrangements. Her lab focuses on synthetic methodology development, with ongoing projects exploring trimetallic systems and tandem reaction cascades. She collaborates on projects involving natural product synthesis and mechanistic NMR studies.

Daniela Delli Castelliمشاهده پروفایل

دانشیار

• Molecular Imaging
• MRI Technology
• Nanomedicine
• +۵ مورد دیگر

Roles and Affiliations : Associate Professor at the University of Torino, Department of Molecular Biotechnologies and Health Science. Member of the Molecular Imaging Center. Specializes in developing advanced MRI contrast agents (CEST) for molecular imaging and diagnostic applications. Research Focus : Leads research on CEST agents, including LipoCEST and ParaCEST systems, with applications in cancer imaging, pH-mapping, and targeted drug delivery. Innovates in pH-responsive probes (e.g., YbHPDO3A) for tumor microenvironment analysis and diagnostic tests like LICIA. Current projects include heteronuclear CEST agents to enhance sensitivity and spatial resolution. Labs and Teams : Heads the Delli Castelli Lab, focusing on molecular imaging and nanosystems. Collaborates on interdisciplinary projects involving biomedicine, engineering, and chemistry. Grants and Awards : While specific grants are not listed, her work reflects sustained funding for MRI innovation and nanomedicine. Recognized for contributions to CEST agent development and clinical translation.

Chadi Assiمشاهده پروفایل

استاد

• Wireless Networks
• Information Security
• Cybersecurity
• +۶ مورد دیگر

Chadi Assi is a Professor and Tier II Concordia Research Chair at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on wireless networks, information security, and smart grid systems, with particular emphasis on reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), cybersecurity for electric vehicles (EVs), and machine learning-driven network optimization. He has pioneered work on mitigating cyber-physical attacks in power grids and IoT ecosystems, while advancing cooperative communication protocols like RSMA and NOMA. His technical contributions span theoretical frameworks for energy efficiency maximization in hybrid SDMA/NOMA schemes, low-complexity RIS element selection algorithms, and adversarial PINN models for grid dynamics. He also investigates vulnerabilities in EV charging infrastructure and O-RAN synchronization protocols, proposing robust detection mechanisms like PEACE and Grid Mirror. His interdisciplinary work bridges communications, power systems, and AI, addressing challenges in 5G/6G security and resilient IoT provisioning. Key Research Areas: RIS-enabled ISAC networks, EV cybersecurity, meta-learning in communications, IoT malware analysis Current Projects: Grid resilience against load-altering attacks, Movable antenna optimization, federated learning for AGC systems Recent publications (2024-2025) emphasize deep reinforcement learning frameworks for RIS-aided networks, cooperative RSMA performance enhancement, and defense mechanisms against dynamic trigger-based attacks. He has also developed novel datasets for advanced persistent threats and frameworks like ChargePrint for EV charging security analysis. His work is published in top venues including IEEE Transactions on Smart Grid, IEEE JSAC, and IEEE ICC, reflecting contributions to both theoretical advancements and practical system implementations.

Chan Liمشاهده پروفایل

استاد

• Auditing
• Accounting Regulation
• Internal Controls
• +۳ مورد دیگر

Chan Li is the C.A. Scupin Professor of Accounting at the University of Kansas School of Business. She holds a Ph.D. in Accounting from the University of Kansas, an M.S. in Management Information Systems from the University of Akron, and a B.A. in Business English from Sichuan International Studies University, China. Prior to joining KU, she was a tenured professor at the University of Pittsburgh. Her research focuses on archival auditing, including the economic consequences of auditing, regulatory impacts on audit environments, auditor judgment, and audit quality. Key areas of interest include internal controls, SOX compliance, and the effects of audit regulations on financial reporting. She has published over 30 articles in top journals such as The Accounting Review, Journal of Accounting Research, and Journal of Accounting and Economics. Teaching interests include Accounting Information Systems, Financial Accounting, and Auditing. Her recent work explores topics like PCAOB inspection deficiencies, auditor experience with distressed clients, and the role of internal control audits in operational efficiency. She has also investigated ESG rating activities by accounting firms and the implications of foreign component auditors on financial reporting quality. Her research consistently addresses regulatory challenges and their implications for audit quality, corporate governance, and financial transparency. Chan Li’s contributions span theoretical and applied dimensions of auditing, with a focus on bridging academic insights with practical audit practices.

Mahmood Azimi-Sadjadiمشاهده پروفایل

استاد

• Digital Signal Processing
• Machine Learning
• Distributed Sensor Networks
• +۳ مورد دیگر

Dr. Mahmood Azimi-Sadjadi is a full Professor in the Department of Electrical and Computer Engineering at Colorado State University (CSU), affiliated with the Walter Scott, Jr. College of Engineering. He leads the Digital Signal/Image Processing Laboratory , focusing on advanced signal processing, machine learning, and underwater acoustics research. His work spans sonar systems, distributed sensor networks, and remote sensing applications. Educational Background: B.S. in Electrical Engineering, University of Tehran (1977) M.S. and Ph.D. in Electrical Engineering, Imperial College of Science and Technology, University of London (1978, 1982) Research Focus: His research emphasizes statistical signal/image processing, machine learning, and underwater target detection/classification using sonar. He has pioneered methods like manifold-based UXO classification and Bayesian occupancy grids. His lab develops both theoretical frameworks (e.g., canonical correlation analysis) and applied systems (e.g., acoustic tomography). Recent Publications Trends: Recent work includes adaptive machine learning for underwater UXO classification, wildfire prediction via satellite data, and autonomous systems navigation. His publications blend signal processing fundamentals with cutting-edge AI techniques. Awards & Affiliations: 1999 Abell Faculty Teaching Award (College of Engineering) Fellow of CIRA (Center for Information and Remote Sensing Research) Member of IEEE (Life Member) and IEEE Neural Network Society Advising & Labs: Directs the Digital Signal/Image Processing Lab, which collaborates on projects like acoustic source localization and sensor network optimization. His research has been supported by grants from agencies like SERDP (e.g., MR-2416 project).

Christopher S. Hoagمشاهده پروفایل

استاد

• Financial Economic History
• Banking History
• Financial Markets
• +۴ مورد دیگر

Christopher S. Hoag is the George M. Ferris Professor of Corporation Finance and Investments at Trinity College's Department of Economics. He has been affiliated with Trinity College since 2010. His education includes a Ph.D. from the California Institute of Technology (Caltech) and a B.A. from Amherst College. Hoag's research focuses on financial economic history, particularly banking and financial markets in the U.S. during the 19th and 20th centuries. His work examines pre-Federal Reserve crisis management mechanisms like clearinghouse loan certificates, bank window dressing practices, and technological advancements in capital market information systems. He also contributes to applied microeconomic theory. His recent publications analyze historical financial crises (e.g., 1884, 1893), interbank lending systems, and the role of telegraph technology in market information flows. Collaborative works include methodological econometric studies and analyses of executive decision-making during crises. Hoag's research has been published in journals such as the International Journal of Economics and Finance, North American Journal of Economics and Finance, and the Journal of Economic History. He maintains an active presence in academic discourse through working papers and conference presentations. No scientific awards or grants are explicitly mentioned in the provided materials. He advises no listed students but collaborates with researchers like Mark Stater and Kamal Lamsal. His office is located at Downes Memorial 302, and his email is Christopher.Hoag@trincoll.edu .

Michael Aschnerمشاهده پروفایل

استاد

• Neurotoxicology
• Metal-induced neurodegeneration
• Genetics and environment interactions
• +۳ مورد دیگر

Michael Aschner, Ph.D., is a Professor in the Department of Molecular Pharmacology, Dominick P. Purpura Department of Neuroscience, and Department of Pediatrics at Albert Einstein College of Medicine. He holds the Harold & Muriel Block Chair in Molecular Pharmacology and directs the Einstein Center of Toxicology. His research focuses on metal-induced neurotoxicity mechanisms, particularly mercury and manganese, and their interactions with genetic factors and dopamine signaling. He investigates environmental triggers of neurodegeneration using models ranging from C. elegans to human MRI studies. Key areas include oxidative stress pathways, Parkinson’s disease risk factors, and developing improved disease models through environmental science insights. Research highlights include studying Nrf2’s role in combating methylmercury-induced injury and exploring how PARK2 genetic variants influence manganese toxicity. His work aims to identify therapeutic targets for neurodegenerative disorders and understand metal deposition impacts in neonatal brains. Aschner’s lab employs cutting-edge techniques like single-cell RNA sequencing to analyze methylmercury effects on neurodevelopmental processes. Professional affiliations include leadership roles at Einstein College of Medicine and Montefiore Health System. His contributions bridge environmental toxicology with clinical neurology, focusing on translating basic science findings into clinical applications for neurodegenerative diseases.