جست‌وجوی استاد و پژوهشگر

Aysegul Gunduzمشاهده پروفایل

استاد

• Neurological Disorders
• Neuromodulation
• Brain Mapping
• +۳ مورد دیگر

Aysegul Gunduz, Ph.D., is a Professor and Fixel Brain Mapping Professor at the University of Florida's Herbert Wertheim College of Engineering, Department of Biomedical Engineering. She leads the Brain Mapping Laboratory, focusing on neural networks and clinical translation for neurological disorders. Her work integrates electrophysiology, bioimaging, and neuromodulation to develop diagnostic and therapeutic systems for conditions like Parkinson’s disease, epilepsy, movement disorders, and stroke. Education: B.S., Electrical Engineering, Middle East Technical University (2001) M.S., Electrical Engineering, North Carolina State University (2003) Ph.D., Electrical Engineering, University of Florida (2008) Post-doctoral Fellowship in Neurology, Albany Medical College (2011) Research interests include human brain mapping, closed-loop deep brain stimulation (DBS), neuromodulation strategies for movement disorders, and wearable sensor technologies for neurological monitoring. Her lab emphasizes translational research, bridging basic science with clinical applications to improve patient outcomes. Awards include the BMES Fellowship (2024), AIMBE Fellowship (2022), and PECASE (2019), reflecting her leadership in neural engineering. Her articles explore cutting-edge topics like DBS efficacy, neural network dynamics, and ethical considerations in neural device research. Grants and collaborations focus on advancing adaptive DBS and brain-computer interfaces. She mentors students in neuroengineering and advocates for equitable participation in clinical research. The Brain Mapping Laboratory actively engages in multidisciplinary projects with neurologists, surgeons, and industry partners. Future work includes optimizing closed-loop systems for Tourette syndrome and Parkinson’s disease, developing open-source neuroimaging tools, and expanding wearable sensor applications for real-time neurological monitoring.

Tim Woodmanمشاهده پروفایل

استاد

• Performance Psychology
• Risk-Taking Behavior
• Personality
• +۳ مورد دیگر

Tim Woodman is a Professor in Sport & Exercise at the School of Psychology and Sport Science , Bangor University. He is a leading expert in Performance Psychology , focusing on personality, stress, anxiety, and risk-taking in elite sports. His groundbreaking theory positions risk as central to human development and performance. Research Interests : Narcissism, anxiety-performance relationships, risk-taking behavior, athlete mental health, agentic emotion regulation. Scientific Contributions : Over 150 peer-reviewed publications, including 2025 studies on cricket mental health, coach support dynamics, and pressure training methodologies in elite sports. Projects : Leads the North West Air Ambulance performance psychology initiative and collaborates with Manchester City Football Club on personality-climate change research. Teaching & Supervision : Accepts PhD students interested in risk-taking, personality, and performance psychology topics.

Maureen Meadowsمشاهده پروفایل

استاد

• Strategic Management
• Big Data Analytics
• Corporate Social Responsibility (CSR)
• +۳ مورد دیگر

Maureen Meadows is a Professor of Strategic Management at Coventry University's Research Centre for Business in Society. Her work focuses on strategic decision-making, big data applications, privacy in business models, and M&A dynamics. She previously held leadership roles at the Open University and Warwick Business School, where she contributed to strategic management education and research. Education: PhD in Open University (2016) MSc in Management Science from University of Warwick (1987) Bachelor of Arts in Mathematics (Oxford University, 1986) Research Interests: Strategic management tools (e.g., scenario planning), customer data analytics, privacy implications of data sharing, and post-merger integration. She has co-led projects on surveillance society blurring and privacy in the digital economy, funded by Leverhulme and EPSRC. Key Projects: Leverhulme-funded 'Taking Liberties?' (surveillance society) EPSRC-funded 'Monetize Me?' (privacy and quantified self) Co-designing digital strategies for museums and education sectors Grants & Collaborations: Multiple internally-funded projects on board assurance frameworks, creative accounting, and hybrid business models in museums. Active in international conferences and professional bodies like BAM Council. Awards: While no specific prizes are listed, her h-index of 24 and 1,891 citations reflect significant scholarly impact.

• Coastal Engineering
• Coastal Hazards Mitigation
• Nature-based Solutions (NbS)
• +۵ مورد دیگر

Jon Miller is a Research Associate Professor in the Department of Civil, Environmental and Ocean Engineering at Stevens Institute of Technology. He holds dual roles as Director of the NJ Coastal Protection Technical Assistance Service and NJ Sea Grant Coastal Processes Specialist. Miller earned a B.E. in Civil Engineering from Stevens (1999), followed by M.S. and Ph.D. in Coastal Engineering from the University of Florida (2001, 2004). His research focuses on coastal hazard mitigation, nature-based solutions, and numerical modeling of coastal systems. Education: - Ph.D. Coastal Engineering, University of Florida (2004) - M.S. Coastal Engineering, University of Florida (2001) - B.E. Civil Engineering, Stevens Institute of Technology (1999) Research Interests: Miller's work emphasizes coastal resilience through innovative engineering approaches. Key areas include: - Wave attenuation mechanisms of natural/nature-based features - Climate change impacts on coastal erosion - Living shoreline design and implementation - Sediment management strategies for inlets and beaches - Dune system vulnerability analysis Grants & Awards: - $1M+ funding from NOAA, NSF, and state agencies - 2024 ASCE Educator of the Year Award - 2023 Robert G. Dean Coastal Award - Over 20+ technical reports guiding coastal policy Professional Leadership: - Editorial roles in Shore & Beach and Journal of Coastal Research - Leadership in NJ Coastal Resilience Collaborative - Advisor for 3 Technogenesis Summer Scholars Labs & Projects: - Principal Investigator for SEECPRS disaster response system - Co-developed NJ Living Shorelines Engineering Guidelines - Conducts fieldwork on Hudson River shoreline restoration

Cangbai Wangمشاهده پروفایل

استاد

• Transnational migration
• Chinese diasporas
• Migration-related museum studies
• +۳ مورد دیگر

Cangbai Wang is a Professor of Migration, Heritage and Language at the University of Westminster and co-founder of HOMELandS (Hub On Migration, Exile, Languages and Spaces). He holds a PhD in Asian Studies from the University of Hong Kong (2003) and previously worked as a Post-doctoral Fellow/Honorary Assistant Professor at the University of Hong Kong and Visiting Lecturer at City University of Hong Kong. Academic focus: Transnational migration, Chinese diasporas, cultural heritage Co-Director of HOMELandS since 2014 (elevated to Research Centre in 2023) External Examiner for 20 institutions including University of Birmingham (2024), University of Cambridge (2020), and Nanyang Technological University (2024) His research explores the intersection of migration and material culture , emphasizing how diasporic communities negotiate identity through heritage practices. Recent work examines museum representations of Chinese diasporas and language dynamics in multicultural London. He has led the AHRC-funded Global Diasporic Chinese Museums Network Initiative (2023-2025) and contributed to policy discussions on diaspora engagement with Chinese municipal governments. Key publication: Museum Representations of Chinese Diasporas (Routledge 2021) and Negotiating Identities, Language and Migration in Global London (Multilingual Matters 2024). Supervised PhDs include Denise Kwan’s The talking of objects: migratory experiences and Chinese women in UK (2020) and Xiao Ma’s ongoing London Chinatown: heritage making and diasporic identities . Active in academic leadership: Co-editor: Routledge Research on Museums and Heritage in Asia Editorial board: Social Transformations in Chinese Societies (since 2024) International editorial board: Chinese Overseas Review (since 2020) UKRI FLF Peer Review College member

• Energy Efficiency
• Waste Heat Recovery
• Organic Rankine Cycle (ORC)
• +۷ مورد دیگر

Dr. Muhammad Imran is a Reader and Lecturer in Mechanical, Biomedical & Design Engineering at Aston University, UK. He is affiliated with the Energy and Bioproducts Research Institute (EBRI) and the College of Engineering and Physical Sciences. His research focuses on energy efficiency, waste heat recovery, and low-temperature power cycles such as Organic Rankine Cycle (ORC) and Supercritical CO₂ systems. He has contributed to the commercialization of ORC systems and collaborates internationally on hybrid energy systems, solar-thermal integration, and district heating networks. Dr. Imran holds a PhD in Energy System Engineering (2016), MSc in Thermal Power Engineering (2012), and BEng in Mechanical Engineering (2009). He has held academic roles at institutions in Pakistan, South Korea, and Denmark, including a Marie Curie Fellowship at the Technical University of Denmark. His awards include the Marie Curie Fellowship (EU), Innovation Award (South Asia Triple Helix), and multiple Research Excellence Awards from South Korea. He leads funded projects on hybrid energy systems for agriculture, waste heat recovery in industries, and sustainable energy solutions in developing countries. His editorial roles include associate editorships in Frontiers in Thermal Engineering and Resources, Environment and Sustainability . He supervises PhD students in renewable energy and low-temperature thermodynamic systems, with ongoing projects on solid-state heat pumps and advanced ORC control strategies. Dr. Imran’s work bridges engineering, data science, and environmental science to address energy challenges. Notable collaborations include projects in Ethiopia, Kenya, Nigeria, and Sudan, focusing on off-grid cold storage, smart irrigation, and biomass energy systems. His research outputs include over 130 peer-reviewed articles, patents, and contributions to international conferences.

• Wearable Sensors
• Smart Garments
• Sustainable Textiles
• +۵ مورد دیگر

Dr. Shirley Coyle is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU) and Programme Chair for the BSc Global Challenges. She holds a BEng in Electronic Engineering from DCU (2000) and a PhD in Biomedical Engineering from NUI Maynooth (2005). Her career includes roles as a Telecoms Engineer at Siemens, Research Fellow at the National Centre for Sensor Research, and Team Leader of Wearable Sensors in the INSIGHT Centre for Data Analytics. She also studied part-time at the Grafton Academy for Fashion Design and later founded a consultancy in wearable technologies. Her research focuses on smart garments, wearable sensors, and sustainable textiles, with applications in healthcare, sports performance, and S.T.E.A.M. integration. Key interests include developing wearable chemical sensors, energy-autonomous sensing systems, and IoT-enabled rehabilitation devices. She has pioneered work on wearable sensors for monitoring chronic diseases, athlete training, and home rehabilitation using VR. Dr. Coyle’s work spans interdisciplinary collaboration, combining biomedical engineering with textile design. Her contributions include innovations in electrospun textiles, self-powered sensors, and sensor integration with microfluidics. She has held leadership roles in DCU’s Governing Authority and promotes STEM education through design-focused initiatives.

Ng See Kiongمشاهده پروفایل

استاد

• Data Mining
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

See Kiong Ng serves as Professor of Practice in the Department of Computer Science at the School of Computing, National University of Singapore (NUS), while concurrently holding leadership roles as Director of AI Technology at AI Singapore and Deputy Director of NUS's Institute of Data Science (IDS). His work focuses on translational data science research and developing integrated capabilities for Singapore's Smart Nation initiative through industry and public agency collaborations. His academic credentials include a B.S. in Applied Mathematics (Computer Science Track) from Carnegie Mellon University (1989), an M.S.E. in Computer & Information Science (Artificial Intelligence) from the University of Pennsylvania (1990), and a Ph.D. in Computer Science from Carnegie Mellon University (1998), supported by Singapore's National Computer Board overseas scholarship. Professor Ng's research bridges artificial intelligence with real-world applications across diverse domains. His primary interests span Data Mining, Machine Learning, Natural Language Processing, Smart Cities, and Computational Biology, with emphasis on extracting value from big data through interdisciplinary approaches. He actively pioneers applications in urban systems and bioinformatics, demonstrating data science's transformative potential beyond traditional boundaries. His publication record reveals consistent innovation in algorithm development for complex data challenges, with recent work focusing on taxonomy construction, single-cell genomics analysis, urban transportation systems, and imbalanced time series classification. These contributions demonstrate his commitment to solving practical problems through cutting-edge data science techniques. His major recognitions include: MTI Borderless Award (2014) as Green Growth Working Group project member Minister for National Development's R&D Award 2017 (Distinguished Award) for city-level analytics platform innovation A*STAR Borderless Award (2014) as Urban Systems Initiative team leader MTI Innovation Award (2013) for Strategic Technology Translation in Business Analytics Professor Ng has established significant research infrastructure including founding A*STAR's Data Analytics Department and leading the Urban Systems Initiative. His translational research model emphasizes industry partnerships and practical implementation, particularly in smart city development where he connects data science with urban planning challenges across Singapore's government agencies.

Chris De Saمشاهده پروفایل

دانشیار

• Machine Learning
• Distributed Systems
• Optimization Algorithms
• +۵ مورد دیگر

Chris De Sa is an Associate Professor in the Department of Computer Science at Cornell University, affiliated with the Cornell Machine Learning Group and leading the Relax ML Lab. His research focuses on algorithmic, software, and hardware techniques for high-performance machine learning, particularly relaxed-consistency stochastic algorithms like asynchronous and low-precision stochastic gradient descent (SGD). He earned his Ph.D. from Stanford University under advisors Kunle Olukotun and Chris Ré. His work emphasizes constructing efficient, parallel, and distributed machine learning frameworks for deep learning and data analytics. Education: Ph.D. in Computer Science, Stanford University (2017) Research Interests: Algorithmic techniques for scalable ML, quantization, distributed optimization, hyperbolic geometry in ML, and reliable measurement of ML systems. His group develops frameworks for efficient inference/training and explores the intersection of ML with domains like agriculture and plant science through courses like PLSCI 7202. Recent Highlights: DARPA YFA Grant (2024), NSF CAREER Award, Google Research Scholar Award, and multiple best paper recognitions. Key contributions include QuIP quantization methods, Coneheads attention mechanisms, and theoretical advances in decentralized training. Awards: NSF CAREER Award DARPA YFA Grant (2024) Google Research Scholar Award Mr. & Mrs. Richard F. Tucker Teaching Award Grants & Advising: Advises 8 Ph.D. students (including Ruqi Zhang, Yucheng Lu, A. Feder Cooper) and holds leadership roles in MLSys conferences. Active in grant-funded research (e.g., NSF Robust Intelligence). Labs/Teams: Leads the Relax ML Lab and participates in Cornell’s Institute for Digital Agriculture (CIDA).

Christopher O'Donnellمشاهده پروفایل

استاد

• Productivity and Efficiency Analysis
• Econometrics
• Agricultural Economics
• +۵ مورد دیگر

Christopher O'Donnell is a Professor of Econometrics at the University of Queensland's School of Economics. He holds a PhD from the University of Sydney and has held academic leadership roles including Director of the Centre for Efficiency and Productivity Analysis. His research focuses on productivity and efficiency analysis, econometric methods, and their applications in agriculture, public policy, and environmental economics. Education: PhD (University of Sydney), MCom (University of New South Wales), BAgEc (Hons) (University of New England). Research interests include economic and statistical methods for measuring productivity changes, stochastic frontier analysis, and metafrontier frameworks. He has authored/co-authored three books and over 80 journal articles, with notable contributions in the American Journal of Agricultural Economics , Journal of Econometrics , and European Journal of Operational Research . Scientific awards include being a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His work has been applied in sectors like healthcare, fisheries, and public utilities through collaborations with organizations such as the World Bank and Asian Productivity Organization. Key projects include measuring agricultural productivity in China, analyzing hospital efficiency, and evaluating climate impacts on farming. Grants include studies on productivity measurement in Australian universities and Northern Grains Region farms. Labs/Teams: Former Director of the Centre for Efficiency and Productivity Analysis, collaborating with global institutions on productivity benchmarking and policy analysis.

Deborah Kentمشاهده پروفایل

مدرس ارشد

• History of Mathematics
• History of Astronomy
• Material Culture of Science
• +۲ مورد دیگر

Deborah Kent is Senior Lecturer in History of Mathematics at the University of St Andrews' School of Mathematics and Statistics. Her research focuses on historical astronomy expeditions, material mathematics, and underrepresented contributions in scientific history. She has received multiple awards including the Paul R. Halmos-Lester R. Ford Award for expository writing excellence. Current projects include STFC-funded research on solar eclipse histories and analyses of early 20th century mathematical collaborations. Recent publications highlight forgotten contributors to British astronomy expeditions and interdisciplinary work between mathematicians and biologists. Awards: Paul R. Halmos-Lester R. Ford Award (2017) Teacher of the Year (2018) Academic Innovation and Leadership (2017)

Thijs Broekhuizenمشاهده پروفایل

دانشیار

• Innovation Adoption
• Value Appropriation
• Digital Business Models
• +۹ مورد دیگر

Dr. Thijs Broekhuizen is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specializing in Innovation Management & Strategy. He currently serves as Scientific Director of the University of Groningen Business School, Coordinator of the Northern-Netherlands Innovation Monitor, and Programme Director of the Executive MBA. His research focuses on digital transformation, value creation in innovation, and digital business models, with interdisciplinary insights bridging strategy, innovation, and digitalization. Education: PhD in Marketing (University of Groningen, 2006) MSc in Marketing (University of Groningen, 2001) Research Interests: Broekhuizen explores value appropriation in technology-driven contexts, digital business models, and strategic responses to disruptive technologies. His work emphasizes SMEs' digital transformation challenges, organizational identity during technological change, and AI-driven innovation management. Key areas include digital platforms, motion picture industries, and social media dynamics. Grants & Projects: TALENT4S3 (€165K, Interreg 2024-2028) SIRM (€189K, Interreg 2023-2027) NWO-funded studies on construction industry profitability and online customer journeys Awards: Best Paper Award at ISoF 2021 Best Short Paper Award Nomination 2021 Teaching & Leadership: Broekhuizen teaches strategy and digitalization in executive programs and has led the MScBA and EMBA initiatives. His educational roles include Programme Director of the Executive MBA (Energy Transition, Health, Sustainable Business Models tracks) and member of the Groningen Digital Business Centre. Labs/Teams: He coordinates the Northern-Netherlands Innovation Monitor (surveying 10,000+ SMEs) and collaborates with the Groningen Digital Business Centre to advance digital strategy research.

Jing Liمشاهده پروفایل

دانشیار

• Computer Architecture
• Compiler Design
• Distributed Systems
• +۷ مورد دیگر

Dr. Jing Li is an Associate Professor and Eduardo D. Glandt Faculty Fellow at the University of Pennsylvania , holding dual appointments in the Electrical and Systems Engineering and Computer and Information Science departments. As co-director of the CyberSavvy nationwide security research center and director of the Penn Computational Intelligence Lab (PennCIL) , she pioneers innovations in non-von Neumann computing paradigms. Her research spans post-CMOS technologies, in-memory computing, and hardware-software co-design for security and AI applications. PhD in Computer Engineering, Purdue University (2009) BSc in Electrical Engineering, Shanghai Jiaotong University (2004) Research Focus: Dr. Li's work addresses fundamental challenges in computer systems across the stack. Key areas include: In-Memory Computing: Liquid Silicon architecture combining RRAM with silicon CMOS through monolithic 3D integration Security Engineering: Transforming computer security from "Art" to formal "Engineering" discipline within CyberSavvy Virtualization: Cloud FPGA abstraction layers decoupling compilation from runtime resource management Graph Analytics: Degree-aware optimization techniques for massive-scale graph processing Deep Learning Systems: Roofline model extensions for FPGA-based CNN acceleration Scientific Impact: Awarded DARPA Young Faculty Award , NSF CAREER Award , and IBM CEO Milestone Award , her team has achieved world records in energy-efficient computing (ENIAD supercomputer). With 46 U.S. patents and over 80 publications, she leads ecosystem development for emerging computing architectures through initiatives like the open-source MEG simulation platform . Community Leadership: Dr. Li serves on program committees for flagship conferences ( ISCA , FPGA Symposium ), chairs the International Memory Workshop , and contributes to the MLsys conference's inaugural committee. She actively mentors through multiple PhD openings and industry collaborations.

Pamela A. Morris-Perezمشاهده پروفایل

استاد

• Developmental Psychology
• Suicidology
• Education Policy
• +۶ مورد دیگر

Pamela A. Morris-Perez is a Professor of Applied Psychology at the NYU Steinhardt School of Culture, Education, and Human Development and an Affiliated Professor at the NYU School of Global Public Health. She is an elected member of the National Academy of Education. Her research bridges developmental psychology, suicidology, education, and policy, with over $75M in research funding. She holds a BA from Columbia University and a PhD in Developmental Psychology from Cornell University. Her research focuses on early childhood interventions, adolescent suicide prevention (through ARCADIA), and policy impacts. Notable projects include a $5M IES-funded NYC Universal Pre-K initiative and a $10M NIH trial on parenting interventions. She has also led institutional roles as Vice Dean/Interim Dean of NYU Steinhardt, overseeing significant research growth and diversity initiatives. Research Themes: Suicidology, early childhood development, policy evaluation, pediatric health interventions. Key Projects: ARCADIA suicide prevention, NYC Pre-K expansion, pediatric primary care interventions. Her articles highlight interdisciplinary approaches to child development and policy, with recent work emphasizing adolescent mental health and pandemic impacts on early childhood programs. Awards include the National Academy of Education membership and a 2017 Best Paper Award. Leadership Achievements: 44% increase in research expenditures, tripling of faculty of color hires, pandemic response coordination. Grants & Funding: William T. Grant Foundation, NIMH, NIH, IES. Morris-Perez collaborates across academia and public agencies to translate research into scalable interventions, particularly in under-resourced communities.

Robert Lount, Jr.مشاهده پروفایل

استاد

• Conflict Resolution
• Diversity and Inclusion
• Group Motivation
• +۳ مورد دیگر

Dr. Robert Lount, Jr. is a Professor in the Management & Human Resources Department at The Ohio State University's Fisher College of Business. His research focuses on optimizing collaboration outcomes through motivation, trust, and negotiation strategies. He holds a PhD from Northwestern University's Kellogg School of Management and has taught at institutions including Kellogg, Cornell’s Johnson School, and INSEAD. Lount specializes in negotiation courses and has been recognized for teaching excellence with the Westerbeck Pace Setter award. His work bridges academic journals and popular media like Harvard Business Review and The New York Times. Education: PhD and MS from Northwestern University, BS in Psychology from Michigan State University. Research emphasizes trust development, conflict resolution, and group dynamics. He contributes to programs like MSCM Mid-Program Experience, integrating negotiations training with healthcare and life sciences applications. Courses include Leadership in Health Sciences, Negotiations, and Advanced Organizational Behavior seminars.