جست‌وجوی استاد و پژوهشگر

Mahsan Nouraniمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Human-Computer Interaction
• Healthcare Informatics
• +۳ مورد دیگر

Mahsan Nourani is a Research Assistant Professor at Northeastern University, specializing in intersections of human-computer interaction, artificial intelligence, and healthcare informatics. Their research focuses on explainable AI systems, user behavior in AI partnerships, and design of interactive machine learning tools. Current work explores cognitive biases in human-AI collaboration, predictive analytics in healthcare, and activity recognition in videos. Key research areas include user profiling in AI applications, trust dynamics in intelligent systems, and visual debugging tools for machine learning models. Notable projects include the HEART initiative for real-time healthcare analytics and development of the DETOXER explanation framework for temporal classification systems. Recent publications investigate nudge techniques for behavioral change (Romadoro project), anchoring bias effects in AI system trust, and evaluation of view rotation techniques in virtual reality navigation. Their work consistently bridges technical AI advancements with human-centered design principles. No academic awards are listed in the provided materials. Current affiliations include Northeastern University's research groups in AI ethics, human-computer interaction, and healthcare technology innovation.

• Project Management
• Construction Engineering
• Sustainability in Construction
• +۷ مورد دیگر

Dr. Michel Chaaya is a Senior Lecturer in Civil Engineering at the University of Sydney, with expertise in project management, construction engineering, and sustainability. He holds a PhD from the University of Sydney and is a Fellow of the Institution of Engineers Australia and the College of Leadership and Management. His research focuses on innovative project management methodologies, sustainable construction practices, and BIM implementation. Education: BE, ME(Res), PhD in Project Management and IT from the University of Sydney. Research Interests: Enhancing project success through risk management, modular construction, and BIM adoption. He emphasizes communication, sustainability, and community wellbeing in construction projects. Recent projects include studies on net-zero steel production, BIM in SMEs, and NCC 2022 energy requirements. Awards: ARCHIBUS Excellence Awards (2017-2013), Best Residential Development Awards (2009-2010), and Australian Postgraduate Award (1997). Teaching: Courses include Project Planning, Professional Practice in Engineering Management, and Global Project Management. He has supervised over 250 theses since 2003. Industry Roles: Director of Business Development for multiple organizations, specializing in construction, IT systems, and real estate. He advises on complex project delivery and stakeholder management.

Joshua Jacksonمشاهده پروفایل

استاد

• Personality Psychology
• Personality Development
• Personality Assessment
• +۵ مورد دیگر

Joshua Jackson is a Professor of Psychological & Brain Sciences at Washington University in St. Louis, holding the endowed Saul and Louise Rosenzweig Professorship of Personality Science. His research focuses on personality development and assessment within the Department of Psychological & Brain Sciences, where he maintains an active laboratory in Somers Family Hall. His academic credentials include a PhD from the University of Illinois, Urbana-Champaign and a BS from the University of Wisconsin, Madison. These foundational experiences established his expertise in psychological methodology and longitudinal research design. Professor Jackson's research program investigates the genetic and environmental antecedents of personality change, with particular emphasis on educational experiences as catalysts for development. He examines methodological challenges in personality assessment, comparing self-reports, observer-reports, behavioral observations, and physiological measures across the lifespan. His work bridges theoretical personality psychology with real-world applications in health, relationships, and occupational outcomes. Analysis of his 2012-2014 publications reveals consistent themes: personality's role in predicting life outcomes (divorce, longevity, occupational success), the plasticity of traits in adulthood, and innovative methodological approaches to longitudinal assessment. His research demonstrates how personality traits interact with major life transitions including marriage, retirement, and military service. While no specific awards are documented in the provided materials, his work appears in premier journals including Psychological Science and the Journal of Personality and Social Psychology. Information regarding graduate student mentoring and research funding sources remains unspecified in available records.

Kishalay Mitraمشاهده پروفایل

استاد

• Optimal Control Under Uncertainty
• Bioenergy Supply Chain Design
• Surrogate Multi-Objective Optimization
• +۱۳ مورد دیگر

Kishalay Mitra is a Professor at the Indian Institute of Technology Hyderabad , with affiliations to the Department of Chemical Engineering , Department of Climate Change , and Department of Artificial Intelligence . He also holds visiting professorships at Washington University in St. Louis and University of Washington, Seattle . His work in the Global Optimization & Knowledge Unearthing Laboratory (GOKUL) spans interdisciplinary optimization, machine learning, and their applications in industrial-scale engineering problems. Education : Ph.D. from IIT Bombay. Research Interests : Mitra's research focuses on optimization under uncertainty , surrogate modeling , multi-objective optimization , and integrating machine learning with physics-based models . His work addresses real-world challenges in wind energy , bioenergy supply chains , chemical process control , nanoscience , and environmental modeling (e.g., PM10 spatiotemporal analysis, forest fire prediction, and carbon capture). Article Trends : His recent publications emphasize wind energy systems (layout optimization, yaw control, forecasting), materials science (precipitate growth prediction, polymerization), and industrial processes (crystallization, grinding circuits). Techniques include neural operators , Bayesian optimization , generative adversarial networks (GANs) , and explainable AI .

Philip Zelazoمشاهده پروفایل

استاد

• Cognitive development
• Developmental neuroscience
• Executive function
• +۴ مورد دیگر

Philip Zelazo is the Nancy M. and John E. Lindahl Professor at the University of Minnesota's Institute of Child Development, where he investigates the development and neural bases of executive function. Previously, he held the Canada Research Chair in Developmental Neuroscience at the University of Toronto. His educational background includes: Honors BA from McGill University (1988) PhD with distinction from Yale University (1993) Zelazo's research centers on executive function—the conscious control of thought, action, and emotion—with emphasis on cognitive complexity, consciousness development through thalamo-cortical circuits, and the distinction between "cool" (dorsolateral prefrontal cortex-associated) and "hot" (orbitofrontal cortex-associated) aspects. His methodologies span experimental, cross-cultural, and electrophysiological (EEG/ERP) approaches, integrating theoretical frameworks like the Cognitive Complexity & Control theory and Levels of Consciousness model. Analysis of his 2017-2024 publications reveals consistent focus on executive function development across childhood, mindfulness-based interventions, socioeconomic impacts on cognitive development, and translational applications for education and mental health. His work increasingly addresses real-world implementation through NIH Toolbox measures and school readiness programs. His major recognitions include: Fellow of the American Psychological Association (APA) Fellow of the Association for Psychological Science (APS) Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Mind and Life Institute Boyd McCandless Young Scientist Award (APA, 1996) Canada’s Top 40 Under 40 Award 2025 Award for Distinguished Contributions to Developmental Psychology (APA) Zelazo actively mentors doctoral students (open to new advisees in fall 2026) and leads significant grant initiatives, including development of the NIH Toolbox Executive Function measures and NIH Infant and Toddler Toolbox "Cognition and Executive Function" assessments. His interventions target EF promotion in high-risk populations, such as preschoolers experiencing homelessness. He directs the Developmental Social Cognitive Neuroscience Lab, which examines neural mechanisms of executive function using EEG/ERP and behavioral paradigms, with recent projects on mindfulness training effects and socioeconomic adversity impacts.

Kunhee (KC) Choiمشاهده پروفایل

استاد

• Artificial Intelligence in Transportation
• Construction Management
• Infrastructure Sustainability
• +۶ مورد دیگر

Kunhee (KC) Choi is a Professor in the Department of Construction Science at Texas A&M University, holding the History Maker Homes Endowed Professorship and serving as a Chancellor EDGES Fellow. His research focuses on enhancing transportation systems through cyber-enabled solutions, including digital twinning, artificial intelligence, and data-driven modeling. B.E. in Architectural Engineering, Korea University (1999) M.S. in Construction Science, Texas A&M University (2002) Ph.D. in Civil and Environmental Engineering, University of California, Berkeley (2008) Dr. Choi’s work addresses four key areas: (1) AI-powered mobility and safety solutions for highway projects, (2) cost-time-risk tradeoff analyses under alternative contracting methods, (3) infrastructure sustainability through life-cycle assessment, and (4) stochastic modeling for civil planning and management. His research has been funded by NSF, USDOT, NCHRP, and TxDOT. Recent publications highlight his emphasis on predictive analytics, flood resilience, pavement engineering, and AI-driven disaster recovery frameworks. The i²dEAS Lab, which he directs, has produced 130+ peer-reviewed publications and secured $500k+ in annual research funding. Chancellor EDGES Fellow (2022) NSF Grant Recipient for Road Safety Research Texas Sea Grant Program Award (NOAA Funding) for AI-based evacuation route modeling Dr. Choi’s teaching philosophy emphasizes integrative learning and interdisciplinary critical thinking in construction management. His lab collaborates with academia, government, and industry to optimize transportation infrastructure performance through safer, more efficient management strategies.

Jon McCormackمشاهده پروفایل

استاد

• Computational Creativity
• Human-machine interfaces
• Artificial Intelligence/Cybernetics
• +۹ مورد دیگر

Jon McCormack is a Professor jointly appointed in Monash University's Faculty of Art, Design & Architecture (MADA) and Faculty of Information Technology. He founded and directs SensiLab, a research facility focusing on computational creativity, human-machine interfaces, and generative systems. His work spans electronic media art, evolutionary music, and artificial life. McCormack holds a PhD in Computer Science from Monash University, along with degrees in Computer Science, Applied Mathematics, and Film/Television. Research interests include computational creativity, tangible interfaces, and cybernetic systems. Notable projects include 'Explainable Artificial Creativity' (ARC-funded) and 'Building 4.0 CRC,' addressing architectural innovation through AI. He has been recognized with awards for collaborative projects like the Blundstone Intelligent Footwear for Healthcare. McCormack's recent articles explore AI-driven art, generative systems, and interdisciplinary design. His work bridges artistic practice with technical innovation, emphasizing ethical and creative dimensions of human-AI collaboration. SensiLab serves as a hub for practice-based research in digital media and interactive systems. Education: PhD in Computer Science, Monash University (2004) Bachelor of Science (Honours), Computer Science/Applied Mathematics, Monash University (1987) Graduate Diploma in Film/TV, Swinburne University (1986) Bachelor of Science, Computer Science/Applied Mathematics, Monash University (1985) Key Projects: Lead investigator on 'Explainable Artificial Creativity' (2022–2026) Co-investigator in 'Building 4.0 CRC' (2020–2027), exploring AI-driven architectural design Awards: 2022 Designers Australia Award for Blundstone Footwear 2020 'On the Machine Condition' Prize McCormack's lab, SensiLab, fosters collaborations across disciplines, producing exhibitions, software, and theoretical frameworks for computational creativity. He actively supervises PhD students in practice-based research, emphasizing the intersection of art and technology.

• Organizational Behavior
• Interpersonal Trust
• Workplace Emotions
• +۳ مورد دیگر

Daniel J McAllister is an Associate Professor at the National University of Singapore Business School , Department of Management and Organisation. His research explores interpersonal relationships in organizations , with particular emphasis on social emotions , trust dynamics , and their implications for organizational citizenship behavior and ethical leadership . He has published extensively in top-tier journals such as Academy of Management Review, Journal of Applied Psychology, and Academy of Management Journal. Academic Focus: Organizational Behavior, Trust/Distrust, Workplace Emotions Teaching Interests: Technical Knowledge, Practical Application, Ethical Decision-Making Key Courses: MNO2007 (Undergraduate), BMA5004A (MBA), MNO6012A (PhD) McAllister's research spans workplace underdog trajectories, awe in leadership, abusive supervision, and cross-cultural management in China. His work examines how emotions like contempt, envy, and schadenfreude influence organizational outcomes. He emphasizes creating a safe learning environment that integrates theoretical knowledge ( technical ), real-world application ( practical ), and ethical judgment ( wisdom ). McAllister has received consistently positive student feedback for his engaging teaching style , with recent evaluations highlighting improvements in time management and practical relevance. He distributes course materials post-class and avoids rote memorization, prioritizing conceptual understanding. His 2025 work on workplace underdogs and awe-driven leadership continues to shape contemporary organizational theory.

• Innovation Management
• Technology-Driven Innovation
• Digital Innovation
• +۷ مورد دیگر

Tim Schweisfurth is a Full Professor in Organizational Design and Collaboration Engineering at the School of Management Sciences and Technology, Hamburg University of Technology (TUHH), Germany. He previously served as an Associate Professor in High-Tech Business at the University of Twente and in Technology and Innovation Management at the University of Southern Denmark. He received his PhD from TUHH and his venia legendi from the Technical University of Munich (TUM). His research focuses on innovation and entrepreneurship, with key themes including digital and technology-driven innovation, idea generation and evaluation, and distributed and collaborative innovation. His work has been published in leading journals such as Research Policy , Strategic Management Journal , Organization Science , and Creativity and Innovation Management . His recent publications reflect a strong trend in understanding how organizational structures, digital platforms, and user involvement influence innovation outcomes. Topics include internal crowdfunding, idea evaluation biases, user innovation, and Industry 4.0 adoption in SMEs, indicating a deep engagement with both theoretical and applied aspects of innovation management. Editor-in-Chief, Creativity and Innovation Management Advisory Editor, Research Policy He has collaborated with major companies such as Siemens, Osram, Audi, Panasonic, and EWE in both research and consulting. He has advised on innovation strategies and digital transformation, contributing to real-world applications of his research. His work has not explicitly mentioned grants, but his extensive industry collaborations suggest strong project funding and engagement. He leads the research group on Organizational Design and Collaboration Engineering at TUHH, which investigates collaborative innovation, digital platforms, and employee-driven innovation. The team engages in both empirical and theoretical research, often using large datasets and field experiments to understand innovation dynamics in organizations.

Johnson Xuesong Shenمشاهده پروفایل

دانشیار

• Digital Twins
• Building Information Modeling (BIM)
• Construction Automation
• +۵ مورد دیگر

Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .

• Computer Vision
• Medical Imaging
• Computational Symmetry
• +۴ مورد دیگر

Yanxi Liu is a Professor in the Department of Computer Science and Engineering and the Department of Electrical Engineering at Pennsylvania State University. She is affiliated with the Huck Institutes of the Life Sciences and holds multiple NSF grants focusing on computational symmetry, regularity perception, and human movement analysis. Her work bridges computer vision, cognitive science, and medical imaging. Education details not explicitly listed in provided text. Key research areas include computational symmetry, near-regular textures, human perception of patterns, and medical image analysis. Notable projects include 'RI: Medium: From Vision to Dynamics' (2023-2026) and 'INSPIRE: Symmetry Group-based Regularity Perception in Human and Computer Vision' (2012-2016). Her research emphasizes symmetry-driven approaches for urban scene analysis, medical diagnostics (e.g., brain asymmetry in Alzheimer's), and dynamic motion modeling. She has co-authored over 100 publications and pioneered methods like lattice-based tracking and symmetry-based mid-sagittal plane extraction in neuroimaging. Funding includes grants from NSF totaling over $5M, supporting interdisciplinary work in vision science and AI. Collaborations span neuroscience, biomedical engineering, and architectural pattern analysis.

Catherine Verrier Piersolمشاهده پروفایل

استاد

• Neurocognitive Disorders
• Caregiving Interventions
• Aging in Place
• +۲ مورد دیگر

Dr. Catherine Verrier Piersol is Professor and Chair of the Department of Occupational Therapy at Thomas Jefferson University's Jefferson College of Rehabilitation Sciences, where she also directs Jefferson Elder Care. She holds a PhD from Virginia Commonwealth University, an MS from Boston University, and a BS from Tufts University. Her research focuses on neurocognitive disorders (especially dementia), caregiver support interventions, aging-in-place strategies, and translating evidence-based occupational therapy into real-world settings. Key themes include person-environment-occupation fit, functional capacity appraisal, and non-pharmacological dementia care. Recent publications emphasize practical implementations of dementia care models, technology-enabled aging solutions, and pandemic-era adaptations in long-term care. Methodologies feature randomized trials, mixed-methods designs, and economic evaluations. Awards and honors include: Fellow, National Academies of Practice (2024) Fellow, American Occupational Therapy Association (2015) Stephen Heater Award for Outstanding Achievement (2013) Jeanette Blair Writer’s Award (2013) Multiple service awards from state/national OT associations (1998–2011) She leads Jefferson Elder Care, developing programs to enhance occupational therapy for older adults. Certifications include National Board OT licensure and Pennsylvania/New Jersey practice credentials.

• Education and Pedagogy
• Artificial and Augmented Intelligence
• Science of Learning
• +۱۲ مورد دیگر

Dr. Le Chencheng is a Lecturer and Assistant Chair (Student Life) at the Asian School of the Environment (ASE) at Nanyang Technological University (NTU). He specializes in interdisciplinary sustainability education, leading the university-wide module Sustainability – Society, Economy and Environment , which engages over 6,000 students annually. Previously, he served as a Research Fellow at NTU’s Nanyang Environment & Water Research Institute (NEWRI), focusing on Singapore’s water and environmental priorities. Education: Ph.D. in Environmental Engineering (NTU, valedictorian) and Bachelor of Science (Honours) in Chemistry (National University of Singapore). Research interests span sustainability, circular economy, renewable energy, and interdisciplinary learning. He collaborates with NGOs and science-related businesses to advance sustainability goals. Active in techno-economic analysis, life-cycle analysis, and resource recovery strategies. No scientific awards explicitly listed. His work emphasizes bridging academic research with real-world applications through teaching and industry partnerships.

• Artificial Intelligence
• Battery Technology
• Digitalization
• +۷ مورد دیگر

Prof. Dr.-Ing. Weihan Li is a Junior Professor at RWTH Aachen University, specializing in Artificial Intelligence and Digitalization for Batteries. He is affiliated with the Institute for Power Electronics and Electrical Drives (ISEA) and the Center for Ageing, Reliability, and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL). His research bridges informatics, electrochemistry, and power electronics to advance battery technology through AI. B.Sc. in Automotive Engineering (Tongji University, 2014) M.Sc. in Automotive Engineering and Transport (RWTH Aachen, 2017) Ph.D. in Electrical Engineering and Information Technology (RWTH Aachen, 2021, summa cum laude) Prof. Li’s research focuses on AI-driven battery modeling, diagnostics, and optimization. Key areas include digital twin technology, electrochemical parameterization, and lifetime prediction using field data. He explores multi-scale kinetic processes, thermal management, and mechanical-electrochemical coupling effects in battery systems. The articles listed reflect his leadership in AI-powered battery analytics, spanning degradation prediction, fast charging, failure mode analysis, and grid-scale storage. His work emphasizes both theoretical innovation (e.g., diffusion models, physics-informed neural networks) and practical applications (e.g., second-life battery screening, automotive integration). Clarivate Highly Cited Researcher 2024 BMBF BattFutur Research Group (€2M+) German Thesis Award (Körber Foundation) Reichart Prize vgbe Innovation Prize Battery Young Research Award Umbrella Award RWTH Innovation Award Prof. Li leads an interdisciplinary research group with over €6 million in grants from BMBF, BMWK, BMDV, European Commission, and industry partners. His teams focus on battery informatics, AI-driven diagnostics, and digitalization of testing processes at CARL and ISEA.

Gavin Schwarzمشاهده پروفایل

استاد

• Organizational Change
• Organizational Failure and Inertia
• Virtual Teams
• +۲ مورد دیگر

Gavin Schwarz is a Professor and Head of School at the School of Management and Governance within the UNSW Business School . He specializes in organizational change , organizational failure and inertia , and the dynamics of virtual teams , with a focus on how organizations fail during change processes and how to develop applied strategies for change management . His work spans diverse sectors including healthcare, technology, and education, with publications in leading journals such as Academy of Management Learning and Education and Administrative Science Quarterly . Education : PhD in Management (University of Queensland), MPhil (Hons) in Management (University of Auckland), BA in Management and English (University of Auckland). Grants : 2020 Brock University grant for "University communication in times of COVID-19" , 2020 UNSW Medicine grant for "Translation and change: Embedding effective change management in health" , and earlier Australian Research Council and Gordon J. Samuels Fellowship awards. His research explores the development of knowledge in organizational theories , with an emphasis on collective responses to change , HR management during crises , and technology strategy . He has contributed to understanding organizational communication , team innovation , and structural inertia . His 15 most recent publications cover topics from AI’s role in organizational change to pandemic-driven research adaptation, with keywords spanning management science , behavioral economics , and digital transformation . Scientific Awards 2021-2023 : Outstanding Reviewer Awards (Academy of Management Review) 2017-2020 : Best Reviewer Awards (Journal of Organizational Behavior) 2019, 2013, 2011 : Best Paper Finalist/Awardee (Academy of Management divisions) 2007, 2006 : Editorial Board Excellence (Academy of Management Journal) and Gordon J. Samuels Fellowship As an active supervisor in organizational change and HR development , his work supports healthcare innovation and digital transformation. He serves as Editor-in-Chief for the Journal of Applied Behavioral Science and is on the editorial boards of Academy of Management Review , Journal of Management , and Journal of Organizational Behavior . Contact: g.schwarz@unsw.edu.au