Find Academic Supervisors

• Behavioral economics
• Experimental economics
• Economic history
• +4 more

Peter Martinsson is a Professor at the Department of Economics with Statistics, University of Gothenburg. His research focuses on behavioral economics, experimental economics, economic history, environmental economics, development economics, and health economics. He teaches courses in behavioral economics, experimental economics, and microeconomics. His work often involves field experiments addressing policy-relevant questions in sustainability, technology adoption, and social behavior. A notable focus includes studies on improved biomass cookstoves' impact in developing regions and the behavioral dimensions of environmental programs. His personal homepage is currently under construction. Research Themes: His studies span from understanding decision-making in dilemmas involving autonomous vehicles to analyzing historical policies like China's one-child policy's long-term effects. He also explores how incentives affect prosocial behavior and technology usage patterns. His experimental methods bridge theoretical economics with real-world applications in climate mitigation and public goods provision. Key Contributions: Martinsson's work emphasizes experimental approaches to evaluate interventions in development and environmental contexts. He has investigated how cultural factors influence economic behavior, particularly in post-conflict regions and cross-national comparisons. His studies often combine quantitative field data with behavioral theory to inform policy design. Professional Profile: As a full-time faculty member, he contributes to both teaching and research leadership at the University of Gothenburg. His publications address global challenges through rigorous experimental frameworks, focusing on equity, sustainability, and institutional effectiveness.

• Infrastructure Risk Assessment
• Resilience Engineering
• Sustainability
• +3 more

Jamie Ellen Padgett is the Stanley C. Moore Professor and Chair of the Department of Civil and Environmental Engineering at Rice University. Her research focuses on multi-hazard risk and resilience of infrastructure systems, emphasizing probabilistic methods for assessing structural portfolios exposed to earthquakes, hurricanes, and aging. She leads the Padgett Research Group, investigating resilience of energy infrastructure, transportation systems, and community-scale hazard mitigation. Education : B.S. Civil Engineering (University of Florida, 2003); Ph.D. Structural Engineering (Georgia Tech, 2007). Key Roles : Faculty Director of the Gulf Scholars Program, Leadership in NIST’s Community Disaster Resilience Center, and NSF-funded DesignSafe-CI Cyberinfrastructure. She serves on editorial boards of journals such as ASCE Journal of Structural Engineering and chairs ASCE committees. Research Interests : Fragility models for storage tanks and nuclear casks, climate-driven coastal risks, and machine learning applications in structural reliability. Her work bridges engineering and social systems to enhance community resilience. Awards : 2017 ASCE Walter L. Huber Prize, 2023 TAMEST Award, NSF CAREER Award (2011), and Fellow of ASCE’s Structural Engineering Institute. Grants & Collaborations : NSF NHERI, SSPEED Center, and Gulf Research Program-funded initiatives. Her projects include modeling hurricane impacts on petrochemical facilities and nuclear waste storage resilience. Labs & Teams : Padgett Research Group (focused on energy infrastructure resilience) and SSPEED Center (severe storm prediction and disaster response).

Connor KernsView profile

Associate Professor

• Autism Spectrum Disorder
• Anxiety disorders in children and youth
• Stress-related disorders
• +5 more

Dr. Connor Kerns is an Associate Professor in the Department of Psychology at the University of British Columbia, Faculty of Arts. She directs the Anxiety Stress and Autism Program (ASAP) lab, which focuses on understanding anxiety and stress-related disorders among individuals on the autism spectrum. Her work bridges clinical psychology and autism research, with a particular emphasis on assessment and treatment approaches tailored to autistic individuals. Education: PhD in Clinical Psychology, Temple University (2013) Dr. Kerns' research primarily focuses on the complex relationship between autism spectrum disorder (ASD) and anxiety, with particular attention to how anxiety manifests differently in autistic individuals compared to neurotypical populations. Her work examines the varied presentation and phenomenology of anxiety in autism, implications for effective anxiety measurement, and development of appropriate treatment approaches. Additionally, she investigates the understudied area of traumatic experiences in youth and young adults with autism, exploring sources and expressions of traumatic stress and developing novel measures of PTSD in this population. Her research employs clinical and community-based methodologies to estimate the frequency of anxiety and stress-related disorders among autistic individuals and identify risk factors. Analysis of Dr. Kerns' recent publications reveals a strong focus on the intersection of autism and anxiety, with particular attention to assessment challenges, treatment adaptation, and neurobiological correlates. Her work spans multiple domains including diagnostic methods, therapeutic approaches, and epidemiological studies examining comorbid conditions. A significant portion of her research addresses the need for specialized assessment tools and interventions that account for the unique presentation of anxiety in autistic individuals. Scientific Awards: Michael Smith Foundation for Health Research Scholar Award (2021) 2025 Mentorship Award by the UBC Department of Psychology Dr. Kerns is recognized for her dedication to mentoring students and fostering their development in research and clinical work. Her mentorship approach emphasizes integrity, compassion, and the translation of research into meaningful community impact. While specific grant information isn't detailed in the provided text, her research program suggests substantial funding support for studies examining anxiety in autism, including the development of assessment tools and interventions. As director of the Anxiety Stress and Autism Program (ASAP) lab, Dr. Kerns leads a team of post-doctoral researchers, graduate students, research assistants, and a lab manager. The lab engages in both clinical and community-based research, with a focus on translating research findings into practical guidelines for clinicians. The lab also maintains a strong community connection through its Community Advisory Board and public outreach initiatives like the "Autism Evidence ASAP" talk series.

Qilin LiView profile

Lecturer

• Machine Learning
• Computer Vision
• Structural Engineering
• +3 more

Qilin Li is a Lecturer in Computing at Curtin University, where he researches machine learning and computer vision applications for structural engineering. His work focuses on developing data-driven models for simulating physical processes in structural dynamics and health monitoring. Li integrates AI methodologies with engineering principles to improve infrastructure safety and reliability. His research interests include machine learning algorithms for structural analysis, computer vision-based monitoring systems, graph neural networks for physical simulations, and AI applications in safety engineering. He develops techniques for predicting structural responses to extreme events like explosions. Li's publications demonstrate innovation in combining computational mechanics with deep learning. His work on graph neural networks for blast fragmentation and transformer networks for structural segmentation advances predictive modeling for engineering applications.

• Steel Structures
• Cold-Formed Steel Construction
• Structural Engineering
• +5 more

Professor Lip Teh is a faculty member at the University of Wollongong, holding the position of Professor in the School of Civil, Mining and Environmental Engineering since January 2020. Prior to academia, he worked as a structural engineer in manufacturing and consulting industries, specializing in cold-formed steel storage racks. His research focuses on advanced steel structures, bolted connections, climate-resilient designs, and modular construction. He has held honorary positions at Johns Hopkins University, Imperial College London, Stanford University, and the University of Alberta. As a Fellow of the Structural Engineering Institute (ASCE), he contributes to professional committees such as the SEI Committee on Structural Connections and Cold-Formed Steel Members. His leadership roles include Co-Editor-in-Chief of the Journal of Constructional Steel Research (ERA A*) and Associate Editor of the ASCE Journal of Structural Engineering. Professor Teh's research has directly influenced design clauses in standards like AS/NZS 4600 and ANSI/AISI S100. His work spans experimental and numerical studies on bolted connections, steel pipelines, and additive manufacturing techniques. He actively supervises PhD and Master’s students, focusing on topics like cold-formed steel mid-rise buildings and hailstone impact on roofing systems. His awards include the Endeavour Research Fellowship and numerous editorial roles. Current projects include the Steel Research Hub initiative to advance cold-formed steel products in mid-rise construction.

Ivan MedovikovView profile

Associate Professor

• Financial Econometrics
• Copula Theory
• Nonparametric Econometrics
• +2 more

Ivan Medovikov is Associate Professor of Economics at Brock University, holding PhD and MA degrees in Econometrics from the University of Western Ontario. His research specializes in financial econometrics, copula theory applications in finance, nonparametric methods, and empirical analysis of market behaviors. He currently serves on departmental committees including Graduate Studies and Research Seminars. Research examines vector dependence measures, financial contagion mechanisms, and market reactions to economic news using advanced copula-based methodologies. Recent work explores volatility forecasting accuracy and risk prediction in equity markets. Publications demonstrate consistent methodological innovation in dependence measurement (67% of recent works) with empirical applications in financial markets. Thematic evolution shows progression from foundational econometric tests to applied market analysis. Ontario Graduate Scholarship (2011) Faculty Excellence in Teaching Award (2016) Social Science Research Fellowships (2011, 2014, 2017)

• Wind Engineering
• Structural Engineering
• Infrastructure Resilience
• +7 more

Dr. J. Antonio Balderrama is Associate Professor of Instruction in the Department of Civil Engineering at The University of Texas at Arlington and serves as Area Coordinator for Architectural Engineering. He earned his Ph.D. (2015) and M.E. (2009) in Structural Engineering from the University of Florida, and his B.S. in Civil Engineering from the University of Notre Dame (2007). A Licensed Professional Engineer in Texas and several Mexican municipalities, he blends extensive academic training with 15+ years of international industry practice that includes design of >6 million ft² of buildings and offshore petroleum platforms. Education: Ph.D. Structural Engineering (Wind Engineering emphasis), University of Florida, 2015 M.E. Structural Engineering (Wind Engineering emphasis), University of Florida, 2009 B.S. Civil Engineering (Structural emphasis), University of Notre Dame, 2007 Research & Scholarly Focus: Dr. Balderrama’s scholarship targets wind-structure interaction, performance-based wind design, infrastructure resilience, and multi-hazard engineering. His work integrates large-scale boundary-layer wind-tunnel testing, full-scale field monitoring (Florida Coastal Monitoring Program), Monte-Carlo simulation, and post-disaster reconnaissance to refine codified wind loads and advance risk-consistent structural design. Interests span computational fluid dynamics, probabilistic load characterization, building-envelope failure analysis, and reliability-based optimization of high-rise, industrial, and offshore structures subjected to hurricanes, tornadoes, and seismic events. Teaching & Mentorship: He teaches undergraduate and graduate courses in structural analysis, structural dynamics, steel design, masonry design, timber design, finite-element methods, and senior capstone projects. He has advised more than 30 M.S. thesis, Ph.D. dissertation, honors, and capstone students, and actively mentors student competition teams and the UTA Architectural Engineering Institute chapter. Selected Honors: Civil Engineering Outstanding Instructor Award, UTA (2021-2022) Member, ASCE & Structural Engineers Association of Texas ACUE/ACE Certificate in Effective College Instruction Professional Engagement: Dr. Balderrama maintains an active consulting practice (founder, BalRob Internation Consultants) and contributes to ASCE, AISC, ACI, and API code committees. He routinely reviews for the Journal of Wind Engineering & Industrial Aerodynamics and chairs conference sessions on wind effects and structural resilience.

• Resilience Optimization
• Geotechnical Asset Management
• Post-Disaster Reconstruction Economics
• +5 more

Dr. Mohsen Shahandashti is a Professor of Civil Engineering and Associate Dean at the University of Texas at Arlington (UTA). His research focuses on enhancing infrastructure resilience through operations research and data analytics, with over 140 peer-reviewed publications. He leads projects sponsored by NSF, USDOT, and TxDOT, addressing disaster recovery, geotechnical asset management, and sustainable construction. Recognized as a UTA Distinguished Teaching Professor, he developed innovative courses and was awarded the 2020 President's Award for Excellence in Teaching. His academic journey includes degrees from Georgia Tech, CMU, and Nanyang Technological University. He serves on editorial boards for ASCE journals and holds professional engineering licenses in Texas. Research areas include: (1) Resilience Optimization of Infrastructure Networks, (2) Rapid Geotechnical Asset Management, (3) Post-Disaster Economic Recovery, and (4) Emerging Building Systems Modeling. His work integrates advanced data analytics, machine learning, and geospatial tools to solve complex infrastructure challenges. Key awards include the 2019 AASHTO High Value Research Award for slope repair methods and the 2023 Academy of Distinguished Teachers induction. He has secured over $5M in federal/state grants for projects like snowplow operations systems, slope maintenance frameworks, and housing reconstruction demand modeling.

• Wave Energy Conversion
• Renewable Energy Technologies
• Hydrodynamics
• +3 more

Dr. Wanan Sheng is an Assistant Lecturer in the Department of Aerospace and Mechanical Engineering at South East Technological University. His career spans over three decades in academia and research, with expertise in aerodynamics, hydrodynamics, and renewable energy technologies. He holds a PhD in Aerodynamics from the University of Glasgow (2004) and has held roles at institutions including the China Ship Scientific Research Centre (CSSRC), University College Cork, and Lancaster University. Education: BSc Physics, Jiangxi Normal University (1985) MSc Marine Hydrodynamics and Fluid Dynamics, China Naval Academy and CSSRC (1990) Research Focus: Dr. Sheng’s work centers on optimizing wave energy conversion systems, particularly through advancements in hydrodynamic modeling, control technologies, and device design. Key areas include improving energy absorption efficiency, reducing costs in offshore renewables, and developing innovative solutions for multi-axis wave energy converters like the TALOS-WEC. He has contributed to EU projects such as the GOAHEAD initiative and led hydrodynamic studies for wave energy arrays. Recent Trends in Articles: His recent work emphasizes predictive modeling for wave energy systems, economic analyses of renewable investments, and control strategies to enhance energy capture. Studies on TALOS-WEC highlight multi-axis technologies and machine learning applications for power output prediction. Grants & Collaboration: Involved in FP7, Horizon 2020, and national projects, Dr. Sheng collaborates internationally on wave energy modeling and validation. His research aligns with UN Sustainable Development Goals related to affordable clean energy and climate action. Labs & Teams: He contributed to the Beaufort Research-Hydraulics and Maritime Research Centre (HMRC) and currently works on TALOS-WEC, focusing on hydrodynamic performance and offshore renewable energy innovations.

Jason RifeView profile

Professor

• navigation
• safety-critical transportation systems
• state estimation
• +3 more

Jason Rife is a Professor and Chair of Mechanical Engineering at Tufts University's School of Engineering, also holding a joint appointment in Electrical and Computer Engineering. He leads the Automated Systems and Robotics Lab, focusing on safe human-machine interactions, autonomous vehicle navigation, and control systems. His research emphasizes validating navigation performance for critical automated systems, such as automated ground vehicles and aircraft landing. Education: Ph.D. (Stanford University, 2004), M.S. (Stanford, 1999), B.S. (Cornell University, 1996). Prior to joining Tufts in 2007, he was a Research Associate at Stanford's GPS Laboratory, studying aircraft navigation systems. Research Interests : Navigation, autonomous systems, state estimation, human-robot interaction, safety-critical transportation, and control systems. His work bridges robotics, aerospace, and automotive engineering, with applications in autonomous vehicle safety and precision navigation. Grants & Awards : Recipient of the Lillian and Joseph Leibner Award (2020), Best Paper awards, and grants from NSF, FAA, and the U.S. Department of Transportation. He has led projects on software-state observability, adaptive system identification, and trusted human-robot teamwork. Teaching : Courses include Advanced Dynamics, Optimal Control, and Collaborative Robotics. He has coordinated graduate and undergraduate engineering programs, including the Human-Robot Interaction joint PhD. Professional Activities : Served on the Institute of Navigation's Satellite Division Board, organized conferences, and reviewed for journals like IEEE Transactions on Aerospace and the Journal of Aircraft.

Pratap MisraView profile

Professor

• GPS and Satellite Navigation
• Global Navigation Satellite Systems
• Civil Aviation Applications
• +7 more

Pratap Misra is a Professor of the Practice in the Department of Mechanical Engineering at Tufts University's School of Engineering. He joined Tufts in 2010 after a remarkable 40-year career in industry, bringing extensive practical experience to his academic role. His educational background includes: Ph.D. from University of California, San Diego (1973) M.S. from Lehigh University (1967) B.Tech. from Indian Institute of Technology Kanpur, India (1965) Dr. Misra's research has focused on GPS and emerging global navigation satellite systems (GLONASS, Galileo, BeiDou) with particular emphasis on civil aviation applications. His work spans precision approach and landing systems, personal and automobile navigation combining multiple sensors (compass, camera, pedometer, accelerometer, gyro), and robust positioning solutions when GPS signals are unavailable. He has written two influential books: a graduate-level engineering textbook on GPS co-authored with Stanford's Per Enge, and 'GPS for Everyone: You Are Here' (2016). His publication record demonstrates a consistent focus on navigation integrity, fault detection, and multi-constellation system integration. His work addresses critical challenges in safety-critical aviation applications, with particular attention to Receiver Autonomous Integrity Monitoring (RAIM) techniques and precision approach systems. Dr. Misra's professional recognitions include: Kepler Award (2014) IEEE Fellow (2007) ION Fellow (2003) IBM Outstanding Achievement Award (1980) NASA Group Achievement Awards (1979, 1981) He has secured significant research funding from the Federal Aviation Administration for projects including 'Characterizing Performance of the Ground Based Augmentation System' (2015-2017) and 'Risk Analysis to Enhance GBAS Performance for NextGen Applications' (2010-2014). Dr. Misra has served on numerous professional committees including IEEE AESS Pioneer Award Selection Committee and ION Fellow Selection Committee. He teaches courses at Tufts including System Dynamics & Controls and specialized topics on GPS & Satellite Navigation, Kalman Filters & Sensor Fusion, and GPS & Inertial Navigation for Autonomous Vehicles.

Scott JacksonView profile

Professor

• Financial Accounting
• Managerial Accounting
• Auditing
• +1 more

Dr. Scott Jackson is Professor of Accounting and Cramer Research Fellow at the University of South Carolina's Darla Moore School of Business. He teaches financial and managerial accounting courses and has won multiple teaching awards, including the Alfred G. Smith Award. His research on depreciation methods received the Impact on Management Accounting Practice Award twice (2012, 2015). Research examines capital investment decisions, earnings management, and auditing judgments. He serves on editorial boards for top accounting journals and has directed the Accounting Doctoral Program since 2010. Awards: Cramer Research Fellow, Impact on Management Accounting Practice Award (2012, 2015)

• Web Engineering
• Web Measurement
• Web Security
• +3 more

Dr Yanlong Zhang is a Senior Lecturer at Manchester Metropolitan University. He holds a PhD in Software Engineering and a PGCE in Higher Education, complemented by industry experience as an Assistant Engineer, Engineer, and Teaching Assistant. His research focuses on web engineering, including web measurement, security, and games design, with particular attention to software metrics and user interface design. Teaching responsibilities include undergraduate modules on web design and development, computer systems, game design, and human-computer interaction, as well as postgraduate courses in information systems. His work explores GUI generation using GANs, structural similarity in source code, and navigability metrics for websites. Research outputs span topics like melanoma classification via image similarity and quality analysis of software architectures. His publications demonstrate expertise in both theoretical frameworks (e.g., HASARD model) and applied systems (e.g., MEIC design). Office hours are Monday 10-11, 1-2, and Thursday 10-11. Proficient in English, Chinese, and basic Japanese/German, Dr Zhang contributes to education and industry through his roles as a Fellow and teaching-focused academic. His work bridges software engineering principles with practical web development challenges.

Amal ElawadyView profile

Associate Professor

• Structural Engineering
• Wind Engineering
• Wind Tunnel Testing
• +5 more

Dr. Amal Elawady is an Associate Professor in the Department of Civil and Environmental Engineering at Florida International University (FIU), affiliated with the International Hurricane Research Center (IHRC) and the Wall of Wind research group. She specializes in structural and wind engineering, focusing on mitigating infrastructure damage from extreme wind events like hurricanes and downbursts through experimental and numerical studies. Her work has influenced ASCE-74 guidelines and earned her prestigious awards. Education: Ph.D., Civil and Environmental Engineering, The University of Western Ontario, 2016 M.Sc., Structural Engineering, Ain Shams University, 2012 B.S., Structural Engineering, Ain Shams University, 2008 Research Interests: Dr. Elawady’s work centers on wind tunnel testing, structural response analysis, and design optimization for critical infrastructure. Key areas include transmission tower dynamics, residential building fragility assessment, and curriculum development for wind engineering education. Her research emphasizes bridging theoretical models with real-world applications to enhance community resilience. Articles Trends: Recent publications (2022–2025) highlight advancements in wind engineering through large-scale testing, numerical simulations, and interdisciplinary collaboration. Topics include downburst impacts on buildings, wind-driven rain performance of facades, and modernizing curricula to address natural disasters. These studies reflect her commitment to both technical innovation and educational reform. Awards: Alan Davenport Award for Excellence in Wind Engineering CSCE Best Student Paper Award O.H. Ammann Fellowship (ASCE) Nominated for Canada’s Distinguished Dissertation Award Grants & Labs: Leads the NSF CAREER-funded project on downburst impacts and collaborates with the Wall of Wind facility. Her research integrates field data, experimental testing, and numerical modeling to address global climate resilience challenges. Active in advancing wind engineering education through pedagogical innovations and community engagement initiatives.

Prabhat HajelaView profile

Professor

• Aerospace Engineering
• Structural Optimization
• Multidisciplinary Design
• +7 more

Prabhat Hajela is the Edward P. Hamilton Professor of Aerospace Engineering at Rensselaer Polytechnic Institute (RPI). He has held leadership roles including Provost and Vice Provost, overseeing academic strategy and undergraduate programs. His academic journey includes degrees from the Indian Institute of Technology Kanpur (B.Tech, 1977), Iowa State University (MS, 1979), and Stanford University (MS and PhD, 1981–1982). He joined RPI in 1990 and became a full professor in 1992. His research focuses on structural and multidisciplinary optimization, with applications in aerospace systems, composite materials, and uncertainty modeling. Notable contributions include over 300 publications and four co-authored books. Hajela’s administrative leadership includes expanding undergraduate research programs, international collaborations, and the CLASS initiative. He is a Fellow of AIAA, ASME, and AeSI, and received the AIAA Biennial Multidisciplinary Design Optimization Award in 2004. Education: B.Tech (Aeronautical Engineering), Indian Institute of Technology, Kanpur (1977) MS (Aerospace Engineering), Iowa State University (1979) MS (Mechanical Engineering), Stanford University (1981) PhD (Aeronautics and Astronautics), Stanford University (1982) Research Interests: Hajela’s work spans structural optimization, multidisciplinary design, computational mechanics, and aerospace systems. He pioneered methods for reliability-based design, uncertainty quantification, and evolutionary algorithms. His research addresses challenges in composite materials, aeroelasticity, and the integration of artificial intelligence in engineering design. Recent projects include virtual reality in STEM education and adaptive systems for Mars missions. Key Contributions: Developed EVOLVE, a genetic search-based optimization code Advanced methodologies for multiscale composite analysis and failure prediction Contributed to CAN-SPAM legislation as a Congressional Fellow (2003) Chaired ASME’s Aerospace Division and served on National Academies panels Awards and Recognition: AIAA Biennial Multidisciplinary Design Optimization Award (2004) Fellowships: AIAA, ASME, and AeSI Recipient of the Boeing-A.D. Welliver Fellowship (1995) Administrative Impact: Hajela led RPI’s academic innovation, including undergraduate research expansion and the implementation of living-learning communities. His focus on global education and interdisciplinary collaboration has shaped RPI’s strategic vision. Current roles include chairing the NRC Technical Assessment Board for the Army Research Laboratory.