Dynamic Systems Identification Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۷۶-۶۹۰ از ۱۲٬۱۵۲ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Scott Shaneمشاهده پروفایل

استاد

Case Western Reserve UniversityUnited States

Scott Shane is the A. Malachi Mixon III Professor of Entrepreneurial Studies and Professor of Economics at the Weatherhead School of Management, Case Western Reserve University, where he has been faculty since 2003. As the school's most highly cited researcher, his work bridges entrepreneurship, economics, and neuroscience with over 94 scholarly articles and 16 books including award-winning titles like Illusions of Entrepreneurship and Fool's Gold . Education: PhD, University of Pennsylvania (1992) Master of Science, University of Pennsylvania (1991) Master of Science, Georgetown University (1988) AB, Brown University (1986) Research Focus: Shane's work centers on five interconnected domains: (1) opportunity discovery and evaluation processes; (2) university spin-offs and technology commercialization; (3) business format franchising dynamics; (4) angel investment mechanisms; and (5) the genetic and neural underpinnings of entrepreneurial behavior. His research uniquely integrates biological perspectives with traditional entrepreneurship theory, challenging conventional wisdom through rigorous empirical analysis. Publication Trends: Recent work shows increasing interdisciplinary convergence, particularly in neuroscience applications to investor decision-making and founder behavior. His 2020-2025 publications demonstrate heightened focus on pitch dynamics, pandemic economic impacts, and genetic factors, while maintaining his signature critical analysis of entrepreneurship myths. The consistent appearance in top journals like Management Science and Academy of Management Journal underscores his field leadership. Scientific Recognition: Global Award for Entrepreneurship Research (2009) Weatherhead Enduring Impact Award (2015) Case Western Faculty Distinguished Research Award (2017) Multiple Best Business Book Awards for Illusions of Entrepreneurship and Fool's Gold Academy of Management Best Paper Award (2020, 2021) Professional Engagement: Beyond academia, Shane serves as Managing Director of the Comeback Capital Fund (investing in Heartland startups) and previously held board positions at JumpStart Inc. (2008-2009) and NorthCoast Angel Fund (2006-2018). He has consulted globally for organizations seeking innovation strategy guidance and taught executive education programs worldwide, while his classroom instruction focuses on entrepreneurial finance and technology strategy. Research Infrastructure: Shane's work is supported through the Greif Center for Entrepreneurship at Weatherhead, where he has directed major projects on technology commercialization and new venture finance. His current research leverages fMRI technology and genetic data to explore biological foundations of entrepreneurship, collaborating with interdisciplinary teams across economics, psychology, and neuroscience departments.

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Jay P. Goreمشاهده پروفایل

استاد

Purdue UniversityUnited States

Jay P. Gore is the Vincent P. Reilly Professor in Combustion Engineering at Purdue University's School of Mechanical Engineering, with courtesy appointments in Aeronautics & Astronautics and Chemical Engineering. He holds positions at the West Lafayette campus and leads the Gore Research Group, focusing on combustion, radiation heat transfer, and sustainable energy systems. Education: B.E. from University of Poona (1978), M.S. and Ph.D. from Penn State (1982, 1986), and a Postdoctoral Certificate from University of Michigan (1987). His research spans combustion fundamentals, CO2 recycling via char gasification, laser diagnostics, and propulsion systems. He pioneered the Summer Undergraduate Research Fellowship (SURF) program at Purdue. Research interests include turbulent reacting flows, biomedical heat transfer, and global energy policy. Key subfields are combustion diagnostics, flame structure analysis, and hydrogen storage. His work integrates experimental and computational methods, with applications in aerospace, energy, and environmental sectors. Awards: Purdue Innovator Hall of Fame (2014) Fellowships: AIAA (2009), ASME (2006) Reilly Chair Professor (2000) Presidential Young Investigator Award (1991) Grants & Collaborations: Supported by DoE, NASA, and industry partnerships. Leads interdisciplinary projects on CO2 utilization and renewable energy systems. Labs/Teams: Gore Research Group specializes in combustion diagnostics, laser-based measurements, and sustainable energy solutions. Collaborations include international conferences and policy initiatives.

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Tom Zickمشاهده پروفایل

پژوهشگر ارشد

Harvard UniversityUnited States

AI Governance
Privacy
Generative AI
+۴ مورد دیگر

Tom Zick serves as Director of Responsible AI at Charles Schwab and holds an academic affiliation as a Research Fellow at Harvard University's Berkman Klein Center for Internet & Society. Her work bridges technical AI development and legal frameworks, focusing on governance mechanisms for emerging technologies. She has advised organizations from startups to Fortune 500 companies while collaborating with frontier AI labs and public institutions like the City of Boston on AI deployment and data governance initiatives. Her educational foundation includes a JD from Harvard Law School and a PhD in Astrophysics from UC Berkeley, providing interdisciplinary expertise critical to her research. This dual background enables rigorous analysis of complex technology-policy intersections. Zick's research centers on creating accountable AI systems through technical oversight frameworks and regulatory compliance strategies. She investigates generative AI's societal impacts, reinforcement learning risks, and privacy-preserving identity solutions like personhood credentials. Her work emphasizes red teaming, model alignment, and global regulatory harmonization, addressing both immediate implementation challenges and long-term existential risks through law-technology integration. Analysis of her publication trajectory reveals escalating focus on governance scalability as AI capabilities advance. Early work examined foundational risks in reinforcement learning, while recent publications address generative AI's disruption of education systems and the urgent need for cross-jurisdictional regulatory frameworks. Her taxonomy development for AI regulation demonstrates systematic approaches to navigating fragmented global policy landscapes. As an advisor, Zick has guided corporate and municipal entities through AI implementation challenges, notably helping Boston operationalize data governance frameworks. Her Berkman Klein fellowship involved direct collaboration with major AI labs on alignment research and red teaming exercises. She contributes to industry-wide initiatives including Twitter's decentralized social media project (bluesky), focusing on protocol-level solutions for content integrity. Zick's collaborative ecosystem spans frontier AI companies, academic researchers, and public sector innovators. Her current work with the City of Boston demonstrates practical governance implementation, while ongoing personhood credentials research addresses AI-generated content verification challenges. These partnerships reflect her commitment to translating theoretical frameworks into operational systems across multiple sectors.

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Kevin Lynchمشاهده پروفایل

استاد

Northwestern UniversityUnited States

Kevin Lynch is a Professor of Mechanical Engineering and Director of the Center for Robotics and Biosystems at Northwestern University. He holds a Ph.D. in Robotics from Carnegie Mellon University and a B.S.E. in Electrical Engineering (with honors) from Princeton University. His research focuses on robotic manipulation, robot locomotion, physical human-robot interaction, and distributed control of robot swarms. He has pioneered advancements in exoskeleton control, swarm formation algorithms, and haptic interaction frameworks. Professor Lynch has received significant recognition, including the IEEE Fellow distinction (2010), the Harashima Award (2017), and the Charles Deering McCormick Professor of Teaching Excellence award (2007–2010). He serves as Editor-in-Chief of the IEEE Transactions on Robotics and has authored over 150 peer-reviewed publications. Key contributions include the development of safety-aware human-robot collaboration systems and self-healing swarm control algorithms. He created the ME 333 Introduction to Mechatronics course and the Mechatronics Design Laboratory, fostering interdisciplinary robotics education. His lab, the Center for Robotics and Biosystems, integrates biomechanics with advanced robotics to address challenges in rehabilitation and autonomous systems.

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Zhen Pengمشاهده پروفایل

پژوهشگر ارشد

Curtin UniversityAustralia

Dr. Zhen Peng is a Research Fellow at Curtin University's School of Civil and Mechanical Engineering, part of the Faculty of Science and Engineering. He holds an ARC Early Career Industry Fellowship (2025–2028), focusing on developing cost-effective bridge monitoring systems using computer vision and edge computing in collaboration with Main Roads WA. His work bridges structural engineering, IoT/edge computing, and machine learning to enhance infrastructure safety. Dr. Peng earned his PhD from Curtin University (Chancellor's Commendation, 2022). His research emphasizes structural dynamics, nonlinear damage detection, and mobile crowdsensing frameworks for infrastructure monitoring. He has published extensively in top journals like Engineering Structures and Structural Control and Health Monitoring , receiving notable awards such as the 2023 Best Paper Award and a Gold Medal in the China Postdoctoral Innovation Competition. His current projects include deploying IoT-driven systems for real-time bridge condition assessment and training students via available 2025 PhD scholarships. Dr. Peng teaches courses in civil engineering and structural analysis, contributing to both academia and industry through innovation in smart infrastructure technologies.

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Timothy W Curbyمشاهده پروفایل

استاد

George Mason UniversityUnited States

Timothy W Curby is a Professor in the Applied Developmental Psychology department at George Mason University . His research focuses on early childhood classroom experiences, teacher-child interactions, and the application of advanced statistical models to educational research. He leads the Development in School Contexts (DISC) Lab , which examines how teacher-student interactions drive children's emotional and social development, with a particular emphasis on creating observational measures like the Emotion Teaching Rating Scale (EMOTERS) . Dr. Curby is also involved in partnerships with institutions such as the University of Illinois at Chicago, supporting professional development for preschool teachers through coaching and learning communities. Education: PhD in Educational Psychology—Learning and Development (University of Virginia), MA in Teaching (University of Michigan), BS in General Biology (University of Michigan) Key Research Areas: Emotion-focused teaching, classroom quality measurement, trauma-informed practices, and statistical modeling of teacher-child interactions Grants: Co-Principal Investigator for the Chicago Early Childhood Preparation and Pathway Partnership (US Department of Education, 2019–2024); Statistician for NIH-funded studies on parent-adolescent interactions and substance use Students Supervised: Vera Hawa, Negar Fatahi, Laura Rose Elizabeth Stokes, and others Teaching: Courses in developmental psychology, longitudinal data analysis, and multivariate statistics

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Seth Kaplanمشاهده پروفایل

استاد

George Mason UniversityUnited States

Seth Kaplan is a Professor in the Department of Psychology at George Mason University. His research focuses on employee well-being, team effectiveness, virtual work, and occupational health through projects like NSF-funded emotion regulation interventions and Army Research Institute collaborations on affective forecasting. He directs the KA-Lab, studying team resilience, metaperceptions, and statistical methodologies. Recent publications analyze job boredom, cognitive reappraisal interventions, and personality measurement innovations. His book Crisis-Ready Teams (2024) synthesizes data from high-risk environments. Courses taught include Occupational Health, Organizational Change, Psychometrics, and Multivariate Statistics. Grants: National Science Foundation (Co-PI): Just-in-Time Adaptive Interventions for Emotion Regulation Army Research Institute (PI): Affective Forecasting Errors Recent Presentations: Personality and generative AI use at work (SIOP 2025) Work situation identification via NLP (SIOP 2025) Helicopter helping in teams (SIOP 2025)

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Jingsong Zhouمشاهده پروفایل

استاد

University of Texas at ArlingtonUnited States

Dr. Jingsong Zhou is a Professor of Kinesiology and Associate Director of the Bone-Muscle Research Center at The University of Texas at Arlington. Her research focuses on neuromuscular diseases, particularly Amyotrophic Lateral Sclerosis (ALS), with expertise in striated muscle physiology, calcium signaling, and mitochondrial dysfunction. She leads the Neuromuscular Diseases Lab, which develops genetic mouse models and molecular probes to study ALS mechanisms. Dr. Zhou’s work has been supported by NIH, MDA, DOD, and the ALS Association. She serves on the NIH SMEP study section and has over 20 years of academic experience, including postdoctoral training at Vanderbilt University College of Medicine and a PhD from Rush University School of Medicine. Education: Postdoctoral Fellow in Pharmacology, Vanderbilt University College of Medicine (2001) PhD in Molecular Biophysics and Physiology, Rush University School of Medicine (1997) Diploma in Medicine, Hunan Medical University (Xiangya Medical School) (1986) Research Interests: Mechanisms of calcium signaling and mitochondrial dysfunction in ALS Role of sarcolemma repair and autophagy in neuromuscular disease progression Development of therapeutic strategies targeting mitochondrial health and membrane integrity Grants and Funding: NIH grants focused on ALS pathogenesis and muscle-bone interactions Support from MDA, DOD, and ALS Association for translational research projects Labs and Teams: Director of the Neuromuscular Diseases Lab at UT Arlington Collaborations in developing mouse models and molecular tools for ALS research

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Joseph Akunnaمشاهده پروفایل

استاد

Abertay UniversityUnited Kingdom

Joseph Akunna is a Professor in Water and Environmental Engineering at Abertay University's Department of Built Environment and Life Sciences. He holds advanced qualifications including a PhD in Environmental Engineering, Chartered Engineer (CEng) status, and Fellowship of the Higher Education Academy (FHEA). He directs the Postgraduate Environment Education programs and the Urban Water Technology Centre. His research focuses on microbial processes for pollutant control, wastewater treatment innovation, anaerobic digestion, and sustainable waste management. Key areas include decentralized wastewater systems, landfill decay modeling, and environmental engineering solutions for developing countries. He has supervised over 20 PhD/postdoctoral projects and led numerous funded initiatives, including projects with the Scottish Government, SEPA, and industry partners like Diageo PLC. He serves as an external examiner for multiple UK universities, reviews for scientific journals, and advises international bodies such as the European Commission and the World Bank-funded Centre of Excellence in Togo. His expertise spans UN Sustainable Development Goals related to clean water, affordable energy, and sustainable cities. Key achievements include developing the GRABBR anaerobic wastewater treatment system, advancing anaerobic digestion of organic residues, and contributing to the Dundee Riverside Landfill transformation into a nature park. He has authored/co-authored over 70 publications and delivered international training programs in water and waste management.

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Luis C. Herreraمشاهده پروفایل

استادیار

State University of New York at BuffaloUnited States

Luis C. Herrera is an Assistant Professor in the Department of Electrical Engineering at the School of Engineering and Applied Sciences, University at Buffalo. Previously, he served as Assistant Professor at Rochester Institute of Technology (2016-2018) and as Research Engineer at University of Dayton Research Institute (2015-2016). PhD in Electrical Engineering (2015) from The Ohio State University BS in Engineering (2010) from University of Tennessee at Martin His research focuses on power electronics control , DC microgrids , fault detection via parameter estimation , and optimal energy utilization . Key projects include improving DC microgrid resiliency , time-scale separation control , and voltage balancer design for aerospace applications . Recent publications emphasize data-driven fault detection , unknown input observers , and quickest change detection in DC systems. He has received: NSF CAREER Award (2023) for DC microgrid control Two AFRL Summer Faculty Fellowships (2019, 2020) Current advisees include PhD students Richard Tarbell , Sarbajit Basu , and Patrick Johnson . Past advisees include Kaushik Gajula (now at Sonnen Inc.) and Lalit Marepalli (L&T Technologies).

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Marianne Nymanمشاهده پروفایل

دانشیار

Rensselaer Polytechnic InstituteUnited States

Marianne Nyman is an Associate Professor in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI), affiliated with the School of Engineering and the Center for Biotechnology and Interdisciplinary Studies (CBIS). Her research focuses on environmental engineering, water quality, biochemical processes, and biomaterials, with a strong emphasis on remediation technologies for organic pollutants, including polycyclic aromatic hydrocarbons (PAHs), endocrine disruptors, and aromatic amines. She has pioneered studies on peroxy-acid treatment for contaminant degradation and explores applications in bioremediation and energy production. Her work spans laboratory-scale innovations to field-scale environmental solutions, addressing challenges in water treatment, sediment remediation, and agricultural systems. Notable contributions include optimizing LED wavelengths for plant growth optimization and investigating CO 2 enrichment effects on leafy greens. Nyman’s research integrates chemical engineering principles with ecological and agricultural systems, reflecting her interdisciplinary approach to solving complex environmental problems. Her publications highlight advancements in advanced oxidation processes, sorption dynamics, and predictive modeling of contaminant behavior. While no specific awards are listed, her sustained contributions to environmental engineering are evident through her prolific and impactful research output. Her lab collaborates with CBIS to bridge biotechnology and environmental science, addressing emerging contaminants and sustainable remediation strategies.

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Mourad Zeghalمشاهده پروفایل

استاد

Rensselaer Polytechnic InstituteUnited States

Dr. Mourad Zeghal is a Professor in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI). His research focuses on computational geomechanics, seismic response monitoring, and geotechnical system identification. He leads projects addressing liquefaction mitigation, multiscale modeling of geosystems, and development of advanced computational tools for geotechnical analysis. Dr. Zeghal collaborates with RPI's Center for Network for Earthquake Engineering Simulation (CEES), Scientific Computation Research Center (SCOREC), and Inverse Problems Center (IPRPI). His work emphasizes reducing risks from natural hazards through improved design tools and model validation. Key projects include the Liquefaction Experiments and Analysis Projects (LEAP), which use centrifuge testing and machine learning to analyze soil behavior under seismic loads. Dr. Zeghal's research integrates experimental data with numerical simulations to enhance understanding of soil-structure interaction and lateral spreading during earthquakes. Research Interests: Soil liquefaction, multiscale modeling, inverse problem methods, computational geomechanics Key Collaborations: CEES, SCOREC, IPRPI, and global research networks Focus Areas: Centrifuge testing, model validation, seismic hazard mitigation His recent publications (2023–2025) highlight advancements in quantifying uncertainty in soil response, analyzing LEAP centrifuge experiments, and developing machine learning approaches for model calibration. Dr. Zeghal actively engages with industry and government labs to translate research into practical engineering solutions.

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Jianxi Gaoمشاهده پروفایل

دانشیار

Rensselaer Polytechnic InstituteUnited States

Jianxi Gao is an Associate Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). His research focuses on network science, particularly network resilience, robustness, and control, integrating network theory, control theory, statistical physics, and operations research. He also explores the intersection of network science and AI, including applications of AI to network analysis and vice versa. His work aims to understand, predict, and control the resilience of complex systems against cascading failures. Key research areas include network resilience in transportation systems, quantum networks, and biological systems, with applications to pandemic response and infrastructure optimization. Gao's contributions span theoretical frameworks and computational tools, such as the NuRsE MATLAB package for network resilience analysis. His GitHub repositories (e.g., NuRsE and NON) showcase his open-source contributions to network science and computational methods. His recent publications address topics like AI-driven network analysis, quantum network percolation, and pandemic-induced healthcare system stress. He actively collaborates on interdisciplinary projects, emphasizing real-world applications of network science principles.

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Udo Seifertمشاهده پروفایل

استاد

University of StuttgartGermany

Udo Seifert is a Professor in the II. Institute for Theoretical Physics at the University of Stuttgart, part of Faculty 08. His research focuses on stochastic thermodynamics, non-equilibrium statistical mechanics, and entropy production in complex systems. He has contributed significantly to understanding Markov networks, thermodynamic inference, and the interplay between fluctuations and irreversibility. His work bridges theoretical frameworks with experimental techniques, such as single-molecule experiments and motor-bead assays. Key areas of interest include entropy estimation in partially accessible systems, localization of entropy production, and the development of model-free entropy estimators. His recent studies explore the thermodynamic uncertainty relation, active matter systems, and the dynamics of biochemical oscillators. He has published extensively on topics like nonequilibrium fluctuations in chemical reaction networks, driven systems, and the application of stochastic processes to biophysical systems. Seifert's research also extends to membrane mechanics, with studies on fluid vesicle shapes and membrane-mediated interactions. His work emphasizes the integration of theoretical models with experimental data, aiming to uncover fundamental principles governing non-equilibrium phenomena. Despite the absence of listed awards or students in the provided text, his prolific publication record underscores his influential role in advancing stochastic thermodynamics and related fields.

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Jiaojiao Jiangمشاهده پروفایل

مدرس ارشد

University of New South WalesAustralia

Dr. Jiaojiao Jiang is a Senior Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW). She holds a Ph.D. from Deakin University (Melbourne, Australia) and has published over 45 articles with 1,100+ citations. Her research focuses on AI-driven cybersecurity solutions, particularly misinformation detection and modeling information propagation dynamics. She is affiliated with UNSW's Sydney campus and can be contacted at jiaojiao.jiang@unsw.edu.au . Education: Ph.D., Deakin University, 2010s Research Interests: Artificial Intelligence applications in cybersecurity Misinformation detection and network analysis Machine learning for network security Data privacy in IoT systems Publications span topics like fake news detection via graph neural networks, multiplex network robustness, and cyber threat intelligence frameworks. Her work bridges theoretical network science with practical cybersecurity challenges.

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