جست‌وجوی استاد و پژوهشگر

Lisa Peschelمشاهده پروفایل

استاد

• Theatre Studies
• Holocaust Studies
• Survivor Testimony Analysis
• +۵ مورد دیگر

Professor Lisa Peschel holds the Chair of Research & Practice in Theatre at the University of York's Department of Theatre, Film, Television, and Interactive Media. Her research focuses on the cultural and theatrical life of the Terezín Ghetto during WWII, exploring how theatrical performance served as a survival mechanism and a means of preserving identity under extreme conditions. She has conducted extensive fieldwork in the Czech Republic, uncovering previously unknown scripts and oral histories from survivors. Education: PhD in Theatre Historiography (University of Minnesota, 2008), MFA in Playwriting (University of Texas, 2005), BSc in English Literature (University of Wisconsin, 1988). Postdoctoral fellowships at the US Holocaust Memorial Museum and Harvard University's Center for Jewish Studies preceded her appointment to York in 2011. Research interests include theories of emotion, trauma, and memory in Holocaust contexts. She has led major AHRC-funded projects like Performing the Jewish Archive (2014–2018) and Gido’s Coming Home! (2018–2019), which re-staged Terezín plays globally to educate about Holocaust history through performance. Her publications include A Holocaust Cabaret (2023), Performing (for) Survival (2016), and over 70 articles/chapters analyzing survivor testimony and theatrical scripts from the ghetto. She has been awarded the EHRI Fellowship in Holocaust Studies (2014). Teaching and pedagogy: Develops drama-based Holocaust education programs for schools, including workshops with the Holocaust Educational Trust. Advises on integrating historical theatre texts into curricula to foster empathy and historical understanding. Professional affiliations include the American Society for Theatre Research, Association for Jewish Studies, and Czechoslovak Studies Association. Active in international conferences on Holocaust memory, trauma studies, and performance in extreme contexts.

Andre R. Barbosaمشاهده پروفایل

استاد

• Performance-based earthquake engineering
• Structural reliability and risk analysis
• Multi-hazard resilience
• +۷ مورد دیگر

Andre R. Barbosa is the Cecil and Sally Drinkward Professor in Structural Engineering at Oregon State University's College of Engineering. He holds a Ph.D. from UC San Diego and degrees from Instituto Superior Técnico (IST), Portugal. His research focuses on earthquake engineering, structural reliability, and multi-hazard resilience, particularly in mass timber and advanced building systems. Notable awards include the 2023 J. James R. Croes Medal. Education : Ph.D., Structural Engineering, UC San Diego (2011) M.S., Structural Engineering, IST, Portugal (2002) Licenciatura in Civil Engineering, IST, Portugal (1998) Research Highlights : Barbosa leads the Barbosa Research Group, specializing in experimental testing and numerical tools for structural resilience. Recent work includes virtual damage assessment post-hurricanes, life-cycle assessment of mass timber buildings, and drone-based monitoring of seismic performance. Collaborations involve NSF, USDA, and industry partners like CoreBrace and Simpson Strong-Tie. Grants & Partnerships : Supported by NSF awards (e.g., 2120683) and USDA (Award No. 58-0204-9-165). Industry collaborations include KPFF, Holmes, and Freres Engineered Wood.

Ian Brownمشاهده پروفایل

استاد

• Energy Conversion
• Electric Machines
• Adjustable Speed Drives
• +۶ مورد دیگر

Ian Brown is a Professor of Electrical and Computer Engineering at Illinois Institute of Technology, part of the Armour College of Engineering. He holds a Ph.D. (2009), M.S. (2003), and B.S. (1999) in Electrical and Computer Engineering from the University of Wisconsin-Madison and Swarthmore College. His research focuses on energy conversion, electric machines, and renewable energy systems, with emphasis on sensorless control, machine design optimization, and traction motor development for electric vehicles. He has extensive industry experience as a principal engineer at A.O. Smith, contributing to electric machine and drive technologies. Research interests include adjustable speed drives, high-power density motors, and applications in sustainable energy. He has advised multiple graduate students and published over 50 peer-reviewed articles in IEEE Transactions and conferences. His recent work explores superconducting circuit breakers, thermal management systems, and advanced winding designs to minimize harmonic distortions. Brown's contributions bridge academic research with industrial applications, particularly in improving energy efficiency and reliability in power conversion systems. He is affiliated with the IEEE and has contributed to journal editorials on electric machines in renewable energy. His lab focuses on experimental prototyping and simulation-driven optimization of electric drives. Current projects include developing brushless capacitive excitation systems for traction motors and analyzing driving cycle-based machine design optimization strategies. Teaching responsibilities include graduate courses on electric machines and power electronics. He maintains active collaborations with industry partners like A.O. Smith and Siemens, emphasizing translational research with commercialization potential.

• Personality Psychology
• Well-being
• Psychometrics
• +۴ مورد دیگر

Rene Mõttus is a Professor of Personality Psychology at the University of Tartu's Faculty of Social Sciences, Institute of Psychology, and a Reader at the University of Edinburgh. He holds a prominent position in personality research, serving as Editor-In-Chief of the European Journal of Personality since 2020. Dr. Mõttus earned his PhD in Psychology from the University of Tartu in 2009, with a dissertation titled "Universal and specific aspects of personality traits in their various representations," supervised by Jüri Allik. He completed his Master's degree in Psychology at the University of Tartu in 2005, with a thesis on "The relationship of cognitive ability to the structure, variability and measurement of personality," supervised by Jüri Allik and Helle Pullmann. Professor Mõttus specializes in personality psychology, with research interests spanning personality structure, well-being, psychometrics, and the connections between physical and mental health. His work particularly focuses on the nuances of personality traits beyond the traditional Big Five framework, examining how these finer details predict life outcomes, relate to physical characteristics like body mass, and develop across the lifespan. He has made significant contributions to understanding the reliability of personality measures, the Dark Triad traits, and the relationship between personality and social media use. His recent publications demonstrate a strong focus on advancing personality research methodology while exploring the intricate connections between personality, health, and social behavior. Mõttus has pioneered research on personality nuances—finer-grained aspects of personality that go beyond traditional domains and facets—and their implications for understanding individual differences. His work often employs large-scale, multi-sample approaches and sophisticated statistical methods to address fundamental questions in personality science. Among his notable achievements, Mõttus received the Early-Career Award from the European Association of Personality Psychology in 2018. He has also been honored with the Erns Jaakson Scholarship (2010) and multiple publication awards from the Estonian Centre of Behavioural and Health Sciences (2006, 2008). As Editor-In-Chief of the European Journal of Personality since 2020, Mõttus plays a key role in shaping the direction of personality research globally. He has secured significant research funding for projects examining well-being and personality, including a major €540,000 grant from the Estonian Research Council (PRG2190) as principal investigator. His collaborative work extends across international boundaries, with numerous co-authored publications featuring researchers from multiple countries. Professor Mõttus leads research within the Estonian Center of Excellence of Well-Being Sciences and directs several projects focused on predicting, understanding, and promoting well-being through large-scale data analysis. His work bridges personality psychology with health sciences, aiming to develop practical applications for improving mental health and well-being.

Sven Scheweمشاهده پروفایل

استاد

• Automata Theory
• Game Theory
• Formal Verification
• +۱۲ مورد دیگر

Sven Schewe is a Professor in the Department of Computer Science at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science. He leads the AI Section and is a founding member and former leader of the Verification Group. He also has secondary affiliations with the Algorithms, Complexity Theory and Optimisation Group and the Institute for Risk and Uncertainty. Research Interests: His research centers on automata theory and game theory, particularly their applications in the verification and synthesis of reactive and safety-critical systems. He investigates infinite-duration games, automata over infinite words and trees, and develops algorithms and tools for automated verification, synthesis, and learning of optimal control strategies. His work extends to reinforcement learning with formal guarantees, cyber-physical systems, and AI safety. Recent Research Trends: His recent publications demonstrate a strong integration of formal methods with machine learning, particularly in adversarial training, neural network robustness, and model-free reinforcement learning under omega-regular objectives. He also applies formal reasoning to interdisciplinary domains such as chemical space exploration and materials science. Scientific Awards: Finalist for the ERCIM Cor Baayen Award 2010 Dr. Eduard Martin Preis 2009 GI Dissertation Award 2008 Advising and Grants: He actively supervises numerous PhD students and postdoctoral researchers. He is Principal Investigator (PI) or Co-Investigator (CI) on multiple major grants, including EPSRC Programme Grants, Royal Society Fellowships, and Horizon Europe projects. His funded research spans topics such as game theory, verification, synthesis, reinforcement learning, and risk analysis. He has hosted visiting researchers and collaborated internationally with institutions in Germany, France, India, Taiwan, and the US. Labs and Teams: He co-founded and led the Verification Group and previously led the AI Section at the University of Liverpool. These groups focus on formal methods, automata, games, and their applications in AI and safety-critical systems.

Joachim Hornمشاهده پروفایل

دانشیار

• Orthopaedics
• Pediatric Orthopaedics
• Biomechanics
• +۵ مورد دیگر

Joachim Horn is an Associate Professor in the Department of Orthopaedics at the University of Oslo. His work focuses on pediatric orthopaedics, biomechanical studies of bone fixation, and surgical techniques for limb deformities. He has contributed to research on femoral anteversion treatment, epiphysiodesis accuracy, and hip displacement in cerebral palsy patients. His recent studies (2020-2025) emphasize clinical outcomes of limb lengthening, growth plate modulation, and orthopaedic instrumentation improvements. Publications span biomechanical analysis, surgical case studies, and population-based epidemiological research in orthopaedic conditions. Key affiliations: Rikshospitalet Hospital, Oslo University Hospital Research interests include skeletal growth modulation, orthopaedic biomechanics, and pediatric trauma management. Collaborations involve multi-institutional studies on limb reconstruction and congenital bone disorders.

• Debt Contracting
• Corporate Disclosure
• Financial Reporting Quality
• +۷ مورد دیگر

Associate Professor Yun Lou is a Full-time Faculty member and Associate Dean (Research) at the School of Accountancy (SOA), Singapore Management University (SMU). She holds a PhD in Accounting from London Business School (2012). Her research focuses on debt contracting mechanisms and corporate disclosure strategies, with publications in top journals like Journal of Accounting Research and Management Science . She teaches courses on Accounting Thought, Governance, and Financial Statement Analysis. Education : PhD in Accounting, London Business School, 2012 Research Interests : Examines how corporate disclosure practices interact with debt contracts, exploring topics like litigation disclosures' impact on bond terms, accounting quality's role in debt markets, and governance mechanisms driving transparency. Her work bridges accounting information systems, executive compensation, and financial intermediation challenges. Awards : Tier 2 Academic Research Fund (AcRF), MOE Singapore SMU School of Accountancy Research Award (2018 and 2020) Grants & Advising : Guides PhD candidates in accounting research, including Cao Huijing (DBA) and Zhao Yuan (PhD). Her research is supported by Singapore's Ministry of Education funding. Labs/Teams : Contributes to SMU's strategic priorities in Digital Transformation and Sustainable Living through research on corporate governance frameworks and financial reporting innovations.

Harry M. Caldwellمشاهده پروفایل

استاد

• Criminal Law
• Criminal Procedure
• Trial Advocacy
• +۳ مورد دیگر

Harry M. Caldwell is Professor of Law and Director of Trial Advocacy at Pepperdine University’s Caruso School of Law, where he teaches Criminal Law, Criminal Procedure, and an array of trial-advocacy courses. A former trial prosecutor in Santa Barbara and Riverside counties, he now devotes much of his practice to representing condemned prisoners on appeal before the California Supreme Court and the U.S. Supreme Court. Education J.D., Pepperdine University, 1976 B.A., California State University, Long Beach, 1972, cum laude Research & Scholarship Caldwell’s scholarship sits at the intersection of criminal procedure, trial advocacy, and empirical legal studies. His work explores how psychological insights can sharpen trial techniques—whether in voir dire, opening statements, cross-examination, or closing arguments—and how systemic reforms can curb prosecutorial misconduct and coercive plea bargaining. He is a vocal critic of racial bias in jury selection and has proposed concrete measures to strengthen Batson protections. His empirical orientation distinguishes much of his recent writing, generating data-driven prescriptions for fairer trials and more reliable death-penalty decision-making. Across more than two dozen major articles and several influential textbooks, his research themes coalesce around three pillars: (1) refining the art of advocacy through scientifically grounded techniques; (2) exposing and remedying flaws in the administration of capital punishment; and (3) enhancing prosecutorial accountability to safeguard due-process values. Honors & Awards 2012 Howard A. White Award for distinguished teaching Luckman Distinguished Teaching Awards (multiple years) 2000 Richard Jacobson Award recognizing him as the nation’s premier trial-advocacy teacher Teaching, Advising & Service Beyond doctrinal courses, Professor Caldwell coaches Pepperdine’s nationally acclaimed interschool trial teams, mentoring students through intensive simulations and national competitions. He has co-authored a widely adopted series of practical texts— Ladies and Gentlemen of the Jury , And the Walls Came Tumbling Down , and The Devil’s Advocates —that distill legendary trials into teachable moments for future advocates.

• Communication and Information Theories
• Wireless Communications
• Energy-Efficient Wireless Networks
• +۱ مورد دیگر

Dr. Nghi Tran is a Professor in the Department of Electrical and Computer Engineering at the University of Akron's College of Engineering. His research focuses on communication and information theories, wireless communications, energy-efficient wireless networks, and security. He has published over 160 papers and served as an editor for multiple IEEE journals. Education: Ph.D. in Electrical & Computer Engineering (University of Saskatchewan, 2008) Education: M.Sc. in Electrical & Computer Engineering (University of Saskatchewan, 2004) Education: B.Sc. in Electrical Engineering (Hanoi University of Technology, 2002) Dr. Tran's research spans wireless communication systems, with special emphasis on physical layer security, energy-efficient networks, full-duplex technologies, and channel coding. His work bridges theoretical foundations with practical implementations in next-generation wireless systems. His recent publications (2023-2025) demonstrate expertise in physical layer security, full-duplex antenna design, polar codes for GNSS, and machine learning applications in MIMO systems. Key trends include optimization of wireless networks, robust error correction, and cross-layer security approaches. Scientific Awards: NSERC Postdoctoral Fellowship Professional Recognition: IEEE Senior Member As an ABET coordinator for ECE and frequent journal editor, Dr. Tran contributes to academic leadership. His research has received funding from the US National Science Foundation, Office of Naval Research, Air Force Research Laboratory, and industry partners.

Mateusz Zawadzkiمشاهده پروفایل

استادیار

• Historical GIS (HGIS)
• Spatial Humanities
• Old-Polish communication networks
• +۳ مورد دیگر

Mateusz Zawadzki is an Assistant Professor at the Department of Geomatics and Cartography, Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University (UMCS). He holds a Ph.D. in Geography (2019, UMCS) and an MA in History (2011, KUL). His career spans roles at UMCS (2017–present), GIS-Expert Sp. z.o.o. (2012–2017), and leadership in the "GIS across the border" research team (2013–2014). Education: Ph.D. in Geography (UMCS, 2019), MA in History (KUL, 2011) Employment: Assistant Professor (UMCS, 2021–present), Research Associate (UMCS, 2017–2021) His research focuses on Historical GIS (HGIS), Spatial Humanities, and reconstruction of Old-Polish communication networks using Web-GIS tools. He has contributed to digital repositories like Polegli1939.pl , analyzed 19th-century Polish military cartography, and explored WWII impacts on Białowieża Forest through interdisciplinary lenses. Recent publications address methodological challenges in multi-sheet historical map georeferencing and metadata frameworks for post-Paris Peace Conference boundary studies. He teaches GIS procedures, Web-GIS applications, and coordinates geoinformatics studies at UMCS. As a consultant for the "GIS in history" Dialog project (2018–2020) and coordinator of the DARIAH-PL digital infrastructure initiative (2021–2024), he bridges geospatial technology with humanities research. Collaborative works include Roman artifact mapping in Krajna region and 3D archaeological site modeling.

• Service Design
• Interaction Design
• Experience-centric Organizations
• +۴ مورد دیگر

Simon David Clatworthy is a Professor at the Department of Design, Oslo School of Architecture and Design. With a business leadership background, he pioneered interaction design and service design at AHO. His work focuses on experience-centric organizations, emphasizing service design's role in creating value through customer, user, and employee experiences. 20+ years service design research Co-founder of SFI projects: CSI & C3 Collaborations with Telenor, Posten, DNB Research spans service innovation, organizational transformation, and tangible design tools. Recent work explores service materials like aesthetics, culture, and experiential structures. He teaches service design at both bachelor and master levels. Publications include 15+ service design books/chapters, with 2023's The Materials of Service Design as a key contribution. His AT-ONE methodology remains foundational in service innovation. Current explorations involve sensory experiences in public spaces (2024's The Garden of Senses ) and cultural plurality in service design (2021's Narrating Service Design ).

Sándor Ádányمشاهده پروفایل

استاد

• Structural Engineering
• Computational Mechanics
• Finite Element Modeling
• +۳ مورد دیگر

Sándor Ádány is a Professor at the Department of Structural Mechanics , Budapest University of Technology and Economics. His work focuses on advanced structural analysis of thin-walled members and systems-based design methodologies. Research Interests: Specializes in buckling behavior of thin-walled structures, finite element modeling, cold-formed steel stability, and modal decomposition techniques. Key areas include Lateral-torsional buckling Displacement mapping in constrained FEM Stiffener optimization in plate structures Combined loading stability of tubular members Prebuckling deformation effects Fourier-based numerical methods Article Trends (2023-2025): Recent publications emphasize elastic stability analysis of thin-walled beams and tubular structures under complex loading conditions, with particular attention to prebuckling deflections, torsional rigidity effects, and numerical validation of analytical models. Innovations include Fourier-series displacement approximations and constrained finite element methodologies.

Kartik Nagarمشاهده پروفایل

استادیار

• Automated Formal Verification
• Program Analysis
• Programming Languages
• +۴ مورد دیگر

Kartik Nagar is an Assistant Professor at the Department of Computer Science and Engineering, IIT Madras . He specializes in developing verification and analysis techniques to enhance the reliability, security, and efficiency of computer systems, focusing on concurrent and distributed systems, computer architecture, and real-time systems.

Anjali Sandipمشاهده پروفایل

عضو هیئت علمی

• Computational Mechanics
• High-Performance Computing
• Machine Learning
• +۵ مورد دیگر

Anjali Sandip is a Teaching Assistant Professor in the Mechanical Engineering Department at the University of North Dakota's College of Engineering and Mines. She holds a Ph.D. in Mechanical Engineering from the University of Kansas and maintains an active research program in computational mechanics, high-performance computing, and machine learning. Her educational background includes a Doctor of Philosophy and Master of Science in Mechanical Engineering from the University of Kansas, and a Bachelor of Engineering in Mechanical Engineering from Osmania University in Hyderabad, India. She previously served as a post-doctoral researcher at the University of Nebraska, where she developed patient-specific computational models for peripheral artery disease treatment. Dr. Sandip's research spans computational mechanics, high-performance computing, uncertainty quantification, physics-informed machine learning, and multi-physics modeling. Her work has significant applications in ice sheet dynamics, medical device modeling, and multi-phase flow simulations. She has developed open-source software frameworks that integrate finite element and finite volume methods with uncertainty quantification tools. Her recent publications demonstrate a strong focus on developing computational frameworks for multi-physics problems, with particular emphasis on GPU acceleration, uncertainty quantification, and machine learning integration. The research shows consistent application of these methods to challenging problems in earth sciences, biomedical engineering, and traditional mechanical engineering domains. Scientific Awards: NSF EPSCoR Research Fellow (2024-25) Dr. Sandip actively mentors both undergraduate and graduate researchers, and she is currently seeking Master's and Ph.D. students interested in computational mechanics, applied mathematics, scientific machine learning, and earth sciences. She serves as an active member of the Association of Computational Mechanics (USACM & IACM) and has delivered numerous presentations at professional conferences. Her research has received support from prestigious organizations including the National Science Foundation (NSF), Department of Energy (DOE), and NVIDIA. She teaches courses including Introduction to Mechanical Engineering, Thermodynamics, Machine Component Design Laboratory, Advanced Finite Element Methods, Modeling Glaciers and Ice Sheets, Statics, and Engineering Ethics, demonstrating her broad expertise across mechanical engineering disciplines.

Joseph Glazمشاهده پروفایل

استاد

• Applied Probability
• Geometrical Probability
• Probability Approximations
• +۷ مورد دیگر

Joseph Glaz is a Professor in the Department of Statistics at the University of Connecticut. His work focuses on applied probability and statistical methodology, particularly in scan statistics and related inference techniques. Contact: joseph.glaz@uconn.edu Phone: (860) 486-4193 (Storrs Campus) Research highlights: Develops scan statistics for discrete , continuous , and conditional data frameworks Specializes in change-point detection for normal data mean/variance Innovates robust methods for outlier-prone datasets Extends scan statistics to network and graph structures Contributed to foundational texts like the Handbook of Scan Statistics Publication trends include: Scan statistics for genomic data (Hi-C translocation detection) Nonparametric and Bayesian extensions of scan methods Approximations and inequalities for sequential testing Applications in quality control , medical imaging , and sensor networks