جستجوی استاد راهنمای دانشگاهی

Qiwei Yaoمشاهده پروفایل

استاد

• Statistical Inference
• Time Series Analysis
• High-Dimensional Statistics
• +۶ مورد دیگر

Qiwei Yao is a Professor of Statistics at the Department of Statistics, London School of Economics (LSE), where he maintains an active research program in statistical methodology and applications. His office is located in Columbia House, Room 7.16 at LSE's Houghton Street campus in London. Professor Yao's research focuses on statistical inference for complex time series, with particular expertise in high-dimensional time series, dynamic networks, spatio-temporal processes, functional time series, nonlinear time series, and high-frequency data. His work bridges theoretical statistics with practical applications, especially in financial econometrics. He has developed innovative methodologies for dimension reduction, factor modeling, and network analysis that have become influential in the field. His recent publications reveal a strong trend toward developing statistical methods for increasingly complex data structures, particularly focusing on high-dimensional and network-based time series. His work integrates machine learning techniques with traditional statistical approaches, as evidenced by papers on deep learning for Markov property testing and tensor decompositions for matrix time series. There's also a clear emphasis on privacy-preserving methods and differential privacy in network analysis. Professor Yao has secured substantial research funding through multiple EPSRC Programme Grants and Research Projects, including the EPSRC Programme Grant for 'Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)' and 'Network Stochastic Processes and Time Series (NeST)'. He also leads the EPSRC Research Project on 'Statistical Network Analysis: Model Selection, Differential Privacy, and Dynamic Structures' and has collaborated with industry partners like Andurand Capital Management on projects such as 'Forecasting Oil Prices Based on Quantitative Methods'. His research has significant applications across various domains, particularly in energy forecasting (electricity load prediction), financial modeling (volatility modeling, oil price forecasting), and ecological modeling (spatio-temporal population dynamics). Professor Yao maintains strong collaborative relationships with researchers across multiple institutions and disciplines.

• Entrepreneurial Resilience
• Family Business
• Strategic Flexibility
• +۷ مورد دیگر

Danilo Brozovic is a Senior Lecturer in Business Administration at the University of Skövde, specifically within the School of Business and the Department of Commerce and Entrepreneurship. He maintains his office in Room E219 and serves as a course coordinator for multiple undergraduate and graduate business courses, each carrying 7.5 credits. His academic work spans teaching, research, and project leadership within the business administration domain. Brozovic's research interests focus on entrepreneurial resilience, particularly in family businesses and small-to-medium enterprises (SMEs), strategic flexibility in business growth, value creation processes, and service ecosystems. He has extensively examined organizational resilience during crises, including the COVID-19 pandemic's impact on retail and tourism sectors. His work also explores sustainability in business models, food tourism, societal collapse scenarios, and the evolution of service systems. Brozovic employs diverse methodologies including literature reviews, scenario-based analyses, and empirical studies to investigate how organizations adapt to multiple crises and changing market conditions. His publication record demonstrates a strong trend toward interdisciplinary research connecting business administration with futures studies, sustainability science, and crisis management. Recent work shows increasing focus on entrepreneurial resilience in the face of multiple concurrent crises, with projects examining how SMEs navigate complex challenges. His research bridges theoretical frameworks like service-dominant logic with practical business applications, particularly in tourism, retail, and family business contexts. Brozovic leads the research project 'Entrepreneurial resilience in small and medium-sized enterprises in the face of multiple crises' (July 2023 - June 2025), which develops knowledge about how SMEs manage multiple concurrent crises. His collaborative approach is evident in numerous co-authored publications with researchers like Börje Boers, Marco Tregua, and Hiroaki Saito across various business disciplines.

Seyed Mojtaba Hoseyniمشاهده پروفایل

مدرس

• Process Safety
• Hydrogen Safety
• Risk Assessment
• +۶ مورد دیگر

Dr. Seyed Mojtaba Hoseyni is a Lecturer in Process Safety and Loss Prevention at the School of Chemical, Materials and Biological Engineering, University of Sheffield. Previously a Postdoctoral Research Associate at the same institution (2022-2024), he holds a PhD in Energy Engineering from Politecnico di Milano (2021). His research focuses on enhancing system resilience, risk assessment, and decision-making under uncertainty in engineering systems, particularly for decarbonization applications. Royal Academy of Engineering Global Talent (Exceptional Promise) in Chemical and Process Engineering His work spans hydrogen safety, climate change risk, nuclear engineering safety, and predictive maintenance. Recent publications emphasize integrating resilience metrics into HAZOP analysis and optimizing sensor placement for risk-informed decision-making. Teaching activities include the Hazards and Protections module (CPE61020). Specializes in RAMS (Reliability, Availability, Maintainability, and Safety) analysis Develops safety frameworks for hydrogen energy systems Applies advanced computational techniques to nuclear and industrial safety

Lucy Arendtمشاهده پروفایل

استاد

• Disaster Management
• Organizational Behavior
• Leadership
• +۳ مورد دیگر

Lucy Arendt serves as Professor of Business Administration – Management and Co-Director of the Center for Exceptional Leadership at St. Norbert College's Schneider Business School, where she teaches organizational behavior, leadership, and strategic management at undergraduate and graduate levels. Her global teaching initiatives include leading student cohorts to Europe for leadership studies and Mexico for international business immersion since joining the institution in 2016 after 26 years at UW-Green Bay. Her educational credentials include a B.S. and M.S. from the University of Wisconsin-Green Bay and a Ph.D. from the University of Wisconsin-Milwaukee. B.S., University of Wisconsin-Green Bay M.S., University of Wisconsin-Green Bay Ph.D., University of Wisconsin-Milwaukee Dr. Arendt's research centers on decision-making dynamics within disaster contexts, spanning mitigation through recovery phases. Her fieldwork across 15+ disaster zones—from New Orleans post-Katrina to Nepal's earthquake aftermath—examines how formal and informal leaders drive organizational and community resilience. This interdisciplinary work bridges business strategy with emergency management, emphasizing leadership's role in crisis navigation and long-term recovery. Her publication trajectory reveals evolving focus from early humor studies in organizational behavior toward comprehensive disaster resilience frameworks. Recent works analyze transformational leadership failures (2024), tornado recovery systems (2023), and engineered resilience metrics like the PEOPLES framework (2016), demonstrating consistent integration of organizational theory with real-world disaster response challenges across healthcare, infrastructure, and community systems. Notable recognition includes the UW-Green Bay Founders Association Award for Excellence in Teaching (2008-09) and a University Award for Collaborative Achievement (2013-14) for innovative international education programming. UW-Green Bay Founders Association Award for Excellence in Teaching (2008-09) UW-Green Bay Teaching Award for Experienced Teacher (2010) University Award for Excellence in Collaborative Achievement (2013-14) Her advisory impact extends through FEMA and NIST consultations, federal earthquake hazards committee leadership, and the Housner Fellows Leadership Development Program. She has directed disaster-reconnaissance teams for EERI across four continents, translating field insights into policy recommendations for governmental and nonprofit entities including Procter & Gamble and the U.S. Chamber of Commerce. As EERI board secretary/treasurer and federal Advisory Committee chair, she drives cross-sector collaboration on seismic safety standards. Her Center for Exceptional Leadership initiatives foster student development through experiential learning, while ongoing research partnerships with international agencies advance community resilience metrics for global disaster-prone regions.

• Ocean Renewable Energy
• Robotics
• Biomechanics
• +۲ مورد دیگر

Dr. Boyin Ding is an Associate Professor at the University of Adelaide , serving as Academic Director at Haide College and researcher in the Mechanical Engineering department within the Faculty of Sciences, Engineering and Technology. He leads the Wave Energy Research initiative established in 2014, while also contributing to Robotics and Biomechanics through his work with the Flinders Medical Device Research Institute. Research Areas: Ocean Wave Energy Harvesting Control Systems for Renewable Energy 6DOF Robotic Testing Spine Biomechanics Transnational Education Programs Key Collaborations: Australia-China Joint Research Centre for Offshore Wind & Wave Energy Acoustics, Vibration and Control Research Group Scientific Awards: Australian Endeavour Fellowship Malcolm Kinnaird Engineering Excellence Award (2012) His recent publications focus on hybrid offshore energy systems, nonlinear hydrodynamics in wave energy converters, and biomechanical testing technologies. He has developed control algorithms for floating offshore wind-wave systems and pioneered 6DOF robotic platforms for medical applications. As an eligible PhD supervisor, he actively collaborates with global industries and academic institutions.

Kelly Bijankiمشاهده پروفایل

دانشیار

• Neuromodulation
• Affective neural circuits
• Electrophysiology
• +۹ مورد دیگر

Kelly Bijanki is an Associate Professor of Neurosurgery, Director of Intracranial Monitoring Research, and holds joint appointments in Psychiatry and Neuroscience at Baylor College of Medicine. Her work bridges clinical neurosurgery and neuroscience, focusing on understanding the neural basis of affective disorders and developing neuromodulation therapies. She directs the Translational Neuromodulation Lab, where she leverages stereotactic electroencephalography (sEEG) to study deep brain structures critical to emotional functioning. Dr. Bijanki's research explores the electrophysiological, neurobiological, and behavioral correlates of neuromodulation of affective neural circuits. Her lab primarily works with patients undergoing intracranial monitoring for epilepsy or depression, using this unique platform to conduct in-vivo studies of neural correlates to affective function. Her work has identified novel stimulation-based strategies for evoking positive affect and anxiolysis, including the discovery that stimulation to the cingulum bundle evokes changes in anxiolysis, mirth, and euphoria, which was featured as a cover article in the Journal of Clinical Investigation and highlighted in the NIH Director's Blog. Analysis of her recent publications reveals a consistent focus on mapping neural circuits involved in emotion processing, particularly using stereo-EEG informed deep brain stimulation approaches. Her work spans multiple psychiatric conditions including depression, obsessive-compulsive disorder, and anxiety disorders, with a strong emphasis on translating electrophysiological findings into therapeutic applications. The integration of computational approaches, particularly machine learning for decoding neural activity related to mood states, represents a growing trend in her research program. Her scientific achievements include: United States Patent (US:11,241,575) for a novel stimulation-based strategy for evoking positive affect and anxiolysis Journal of Clinical Investigation cover article (March 2019) on cingulum stimulation enhancing positive affect NIH Director's Blog feature highlighting her groundbreaking work Multiple NIH grants including R01, R21, and K01 awards Dr. Bijanki mentors a diverse team including graduate students, postdoctoral fellows, and undergraduate researchers. Her research program is generously funded by multiple NIH grants (R01-MH127006, R01-MH130597, K01MH116364, R21NS104953, UH3NS103549), as well as support from the ARCO Foundation, Caroline Wiess Law Fund, American Foundation for Suicide Prevention, and NARSAD. She maintains strong collaborations with researchers at institutions including UTSW, Iowa, Duke, UCLA, Brown, UPenn, and WashU. The Translational Neuromodulation Lab operates at the intersection of clinical neurosurgery, neuroscience, and engineering, utilizing stereo-EEG as a research platform to study deep brain structures involved in emotional processing. The lab employs multiple methodologies including advanced surgical neuroimaging, affective electrophysiology, autonomic surveillance, facial motor analysis, and pulse-evoked potentials to comprehensively characterize mood-relevant neural circuits. Their current flagship project involves using explainable artificial intelligence to map the relationship between mood and intracranial neural activity, with the goal of developing naturalistic patterns of intracranial stimulation for therapeutic applications.

Alice E. Coyneمشاهده پروفایل

استادیار

• Clinical Psychology
• Psychotherapy
• Depression Treatment
• +۷ مورد دیگر

Alice E. Coyne serves as an Assistant Professor of Psychology at American University, having joined the department in 2023. She directs the Optimizing Psychosocial Treatments (OPT) Lab and teaches courses including Cognitive Behavior Therapy and Cognitive-Behavioral Therapy Practice. Dr. Coyne's research program focuses on enhancing psychotherapy effectiveness through personalization strategies. Her work examines how patient, therapist, and dyadic characteristics can optimize treatment for affective conditions such as depression and anxiety. She specifically investigates methods for tailoring treatment selection, intervention delivery, and therapist assignment to individual patient needs, with the overarching goal of bridging the science-practice gap in mental health care, particularly for underserved populations. Analysis of her recent publications reveals a consistent research trajectory focused on treatment personalization in psychotherapy. Her work spans multiple methodologies including meta-analyses, randomized clinical trials, and process-outcome studies. Key themes include therapist-patient matching, moderators of treatment efficacy, and transdiagnostic approaches to affective disorders. Her publications appear in high-impact journals such as JAMA Psychiatry, Journal of Consulting and Clinical Psychology, and Psychotherapy Research. Dr. Coyne has established herself as an emerging researcher in clinical psychology with a focus on making evidence-based treatments more effective through personalization. Her work has significant implications for improving mental health care delivery in real-world settings.

• Food Engineering
• Thermal Engineering
• Biophysics
• +۳ مورد دیگر

Thijs Defraeye is a Senior Scientist at Empa (Swiss Federal Laboratories for Materials Science and Technology) and Adjunct Professor at Dalhousie University. He holds a PhD in Building Physics from KU Leuven (2011) and a Master's in Civil Engineering (2006). His work focuses on optimizing food supply chains through multiphysics simulations and digital twins, addressing challenges in refrigerated transport, postharvest quality preservation, and energy-efficient food processing. He leads the SimBioSys group, developing solutions for perishable goods logistics and electrohydrodynamic technologies. Research interests include: Biophysics of food systems Digital twin applications in agriculture Electrohydrodynamic drying Thermal management in cold chains Sustainable food technologies Recent work emphasizes reducing food loss through physics-based modeling of refrigerated containers, ventilated packaging optimization, and scalable evaporative cooling systems. His studies bridge engineering principles with biological processes, aiming to enhance global food security and environmental sustainability.

Debswapna Bhattacharyaمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• Machine Learning
• +۵ مورد دیگر

Debswapna Bhattacharya is an Associate Professor in the Department of Computer Science at Virginia Tech. Her research focuses on computational biology, bioinformatics, and machine learning with applications in structural biology. She holds a Ph.D. from the University of Missouri-Columbia (2016) and previously served as an Assistant Professor at Auburn University (2017–2021). Her work develops AI-driven methods for biomolecular modeling, including RNA and protein structure prediction, quality assessment, and refinement. Notable contributions include software tools like lociPARSE, RNAbpFlow, and EquiPNAS. She has received prestigious awards such as the NSF CAREER Award (2020) and NIH MIRA Award (2020). Teaching includes courses on machine learning and AI in molecular modeling. Her lab collaborates on NIH-funded projects (R35GM138146) and NSF initiatives (DBI2208679). Recent work emphasizes equivariant neural networks and transformer-based models for biomolecular analysis.

Silje Endresen Remeمشاهده پروفایل

استاد

• Health Psychology
• Chronic Pain Management
• Stress and Coping
• +۴ مورد دیگر

Silje Endresen Reme is a Professor of Health Psychology at the Department of Psychology, University of Oslo. She also serves as a clinical psychologist at the Department of Pain Management and Research, Oslo University Hospital (OUS). Her academic journey includes postdoctoral work at Harvard School of Public Health and visiting research roles at King’s College London. She holds a PhD in Psychology from the University of Bergen. Her research focuses on chronic pain mechanisms, stress and coping strategies, occupational rehabilitation, and the psychology of religion. Key grants include a 2023 Research Communication Prize, a 2018 Norwegian Cancer Society grant for breast cancer surgery interventions, and a 2013 Research Council of Norway grant for youth disability prevention. Reme has authored over 100 peer-reviewed articles. Recent work addresses postsurgical pain management, partner dynamics in chronic pain, and psychological interventions for medically unexplained symptoms. She leads projects on Individual Placement and Support (IPS) for patients with chronic pain and mental health conditions. Her awards highlight contributions to both clinical practice and academic rigor. Ongoing projects include evaluations of hypnotic interventions for brain injury rehabilitation and the role of perceived injustice in chronic pain recovery.

Ed Pickeringمشاهده پروفایل

مدرس ارشد

• Metallurgy
• Materials Science
• Nuclear Engineering
• +۹ مورد دیگر

Ed Pickering is a Senior Lecturer in Metallurgy and Materials Engineering at the University of Manchester. He has held roles since 2015, advancing to Reader in 2023. His affiliations include the Henry Royce Institute (Research Area Lead for Advanced Metals Processing), the Advanced Metallics System CDT and Fusion CDT Management Boards, and industrial technical advisory panels. Ed’s work bridges academic and industrial collaboration with Rolls-Royce, UKAEA, Airbus, EDF, and Sheffield Forgemasters. Ed completed his undergraduate studies (2011) and PhD (2014) in Materials Science at the University of Cambridge, followed by a Research Associate role in Cambridge’s Rolls-Royce UTC. His academic trajectory includes: Senior Lecturer (2019–present) Reader (2023–present) Ed’s research focuses on phase transformations, microstructural characterization, and alloy development for nuclear (fission/fusion) and aerospace applications. Key themes include optimizing processing routes to enhance material properties while minimizing waste and environmental impact. His studies frequently address steel, high-entropy alloys, and novel refractory alloys, emphasizing their service performance under extreme conditions. His scientific contributions span structural integrity assessment of welded joints, machine learning applications in metallurgy, and material flow uncertainties in forging. He has also advanced heat treatment optimization for reactor steels and explored cobalt-free hardfacing alloys. Frank Fitzgerald Medal (2017) Grunfeld Memorial Medal (2021) In advising and grants, Ed leads the Materials Performance Centre (MPC) and co-leads the NEWAM project on wire-additive manufacturing. He supervises research across these initiatives and collaborates with over 30 PGR students in interdisciplinary teams. His work also involves managing technical facilities like the Advanced Metal Processing platform. Ed’s laboratory affiliations include the MPC and WAAM-based Engineering and Process Metallurgy groups, where he explores sustainable materials solutions for energy and aerospace industries.

Dale T. Millerمشاهده پروفایل

استاد

• Social Norms
• Moral Psychology
• Organizational Behavior
• +۳ مورد دیگر

Dale T. Miller is the Class of 1968 / Ed Zschau Professor of Organizational Behavior and Professor of Psychology at Stanford University's Graduate School of Business, with joint appointment in the School of Humanities and Sciences. He serves as Director of the Executive Program for Nonprofit Leaders. Education: PhD, University of Waterloo, 1975 MA, York University, 1972 BA, University of Victoria, 1971 Miller's research examines social norms development and transmission, moral self-perception, and behavioral change strategies. His work focuses on how group norms emerge and persist without broad support, how moral self-concepts shape behavior, and effective behavioral interventions. His publications demonstrate consistent focus on social psychology and organizational behavior, with recent work examining group norm perception mechanisms and moral decision-making processes under risk conditions. Awards and Honors: BP Faculty Fellow in Global Management (2023-24) Endowed Professorship (2009) Fellow, Center for Advanced Study in the Behavioral Sciences (2008-2009, 1980-81) As Director of the Executive Program for Nonprofit Leaders, Miller oversees leadership development for nonprofit executives and advises graduate students in organizational behavior research. He leads research on organizational norms and moral psychology through the Stanford GSB Behavioral Lab, collaborating with interdisciplinary teams examining social influence processes in organizational contexts.

• Tribology
• Mechanical Engineering
• Materials Science
• +۷ مورد دیگر

Dr Amir Kadiric is a Reader in Mechanical Engineering at Imperial College London's Faculty of Engineering, leading the SKF University Technology Centre for Tribology. He holds a MEng (Mechanical Engineering) and PhD (Tribology) from Imperial College (2005). Previously, he worked at SKF's Engineering and Research Centre in the Netherlands, focusing on rolling bearing research. Education: MEng in Mechanical Engineering (Imperial College), PhD in Tribology (Imperial College, 2005) His research emphasizes damage mechanisms in machine elements—such as rolling contact fatigue (micropitting, pitting), scuffing, and fretting—as well as reliability/efficiency of electric vehicle transmissions and condition monitoring of tribological systems. He collaborates with industries to advance applications in wind turbines, geared turbofan engines, and EV drivetrains. His work integrates experimental and computational methods, including novel techniques for in-situ lubricant film measurement and tribofilm analysis. He leads the Imperial-Industry collaboration through the SKF UTC for Tribology, advancing fundamental and applied tribology research. Dr Kadiric’s lab focuses on surface coatings, lubricant formulation, and advanced material characterization to mitigate failure modes in dynamic mechanical systems. His contributions bridge academic and industrial challenges in sustainable energy systems and high-performance engineering components.

Min Liuمشاهده پروفایل

استاد

• Lean Construction
• Digital Twin Design
• Data Mining
• +۵ مورد دیگر

Dr. Min Liu is a Professor and the Abdallah H. Yabroudi Endowed Professor in Sustainable Civil Infrastructure at Syracuse University, where she directs the Syracuse University Infrastructure Institute. She holds a Ph.D. in Engineering Project Management from UC Berkeley, and prior degrees from National University of Singapore and Xi’an University of Architecture and Technology. Her research focuses on integrating human and engineering aspects in construction planning, with emphasis on Lean Construction, Digital Twin design, and machine learning applications. She has published over 50 articles in top-tier journals and won prestigious awards such as the 2021 ASCE Thomas Fitch Rowland Award. Dr. Liu advises numerous graduate students and postdocs, offering positions in Construction Engineering and Management. Her lab develops innovative approaches for infrastructure project delivery, worker mental health, and bridge preservation strategies. Education: Ph.D. in Engineering Project Management, UC Berkeley (2007) MSCE, Xi’an University of Architecture and Technology (1997) MSc in Building Science, National University of Singapore (2001) BSc in Civil Engineering, Qingdao University of Technology (1994) Research Highlights: Large language models for construction planning reliability Ontology-based knowledge systems for construction methods Lean techniques for worker mental health improvement Socioeconomic analysis of bridge preservation strategies Awards: 2021 ASCE Thomas Fitch Rowland Award Multiple Best Paper Awards (2017-2018) "Thank a Teacher" awards (2011-2018) Her advising record includes notable students like Chuanni He (2023 Chinese Government Award) and Gongfan Chen (2022 Three-Minute Thesis Award). Current opportunities include Ph.D. financial support and postdoc positions. Dr. Liu’s work appears in journals like ASCE Journal of Management in Engineering and Engineering, Construction and Architectural Management.

• Electrochemistry
• Carbon Capture and Utilization
• Green Hydrogen and Ammonia
• +۵ مورد دیگر

Dr. Fengwang Li is a Senior Lecturer at the School of Chemical and Biomolecular Engineering, University of Sydney, specializing in electrochemical energy systems and CO₂ conversion. He joined in 2020 after completing postdoctoral research at the University of Toronto, focusing on CO₂ capture and utilization. His PhD from Monash University (2017) earned the Mollie Holman Medal for best thesis. Research interests include electroactive materials, green hydrogen/ammonia, and sustainable chemical synthesis. He leads projects on CO₂ electrolysis catalysts and reactor design, utilizing operando/in-situ techniques for material characterization. Collaborations span institutions globally, including the University of Warwick and California Institute of Technology. Awarded the 2023 Eureka Prize for Outstanding Early Career Researcher, he has published over 90 articles in top journals like Nature , Science , and Angewandte Chemie . His work aims to economically viable CO₂-to-fuel conversion, advancing renewable energy and carbon neutrality. Key grants include the ARC DECRA (2019) and University of Sydney SOAR Prize (2023). He co-leads the GETCO2 Centre and is affiliated with Sydney Nano Institute and the Net Zero Institute.