جستجوی استاد راهنمای دانشگاهی

Hisham AbouGradمشاهده پروفایل

مدرس ارشد

• Information Systems Performance
• Decision Support System
• Geographic Information Systems
• +۱۲ مورد دیگر

Dr. Hisham AbouGrad is a Senior Lecturer in Computer Science and Digital Technologies at the University of East London, within the School of Architecture Computing and Engineering. With over 20 years of experience in IT industry and higher education, he has taught at multiple UK institutions including Falmouth University, Northumbria University, Roehampton University London, and University of Plymouth. Department of Computer Science and Digital Technologies School of Architecture Computing and Engineering University of East London Dr. AbouGrad holds a DProf (DBA) in Workflow Information Systems Performance from London South Bank University (2020), an MSc in Software Engineering from University of Bradford (2002), and an MBA in Management from University of Lincoln (2002). His research spans multiple domains including Business Process Management (BPM), Decision Support Systems (DSS), Workflow Systems Performance, Enterprise Content Management (ECM), Machine Learning, and Geographic Information Systems (GIS). His recent publications demonstrate a strong focus on applying AI and machine learning to solve real-world problems in finance, healthcare, agriculture, and transportation. His publication trends show a clear progression from foundational work on business process management and enterprise content systems toward cutting-edge applications of deep learning, blockchain, and computer vision in diverse domains. The breadth of his research covers financial technology, healthcare monitoring, agricultural optimization, transportation safety, and food security systems. Fellow of the Higher Education Academy (FHEA) Project Management Professional (PMP) in IT Professional member of the British Computer Society (BCS) since 2009 Member of the Central & North London Branches (CeNLB) Committee of BCS Dr. AbouGrad actively supervises doctoral research (ProfDoc, PhD), master's dissertations, and undergraduate degree projects. He has participated in doctoral research workshops and academic events to support university researchers. His teaching portfolio includes modules on Database Systems, Software Engineering, Information Systems, and Business Information Systems. He is a member of the Intelligent Systems Research Group and contributes to Research Enhanced Learning & Teaching initiatives at UEL.

• Networked Systems
• Machine Learning for Networks
• Data Center Networking
• +۷ مورد دیگر

Philip Brighten Godfrey is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) and Technical Director at VMware (formerly Broadcom). He co-founded network verification startup Veriflow, which was acquired in 2019. His research focuses on networked systems, blending theoretical and practical approaches to low-latency networking, software-defined architectures, microservices communication, and machine learning for network optimization. Education: Ph.D. in Computer Science (UC Berkeley, 2009), B.S. in Computer Science (Carnegie Mellon, 2002) His work spans data center design, network verification (e.g., VeriFlow), congestion control (PCC Vivace), and innovative projects like cISP (Speed-of-Light Internet). Recent publications address microservice tracing (TraceWeaver), fault localization (Flock), and XR device offloading (XRgo). Notable awards include the ACM SIGCOMM Rising Star Award, NSF CAREER Award, Sloan Research Fellowship, and multiple best paper recognitions. He has chaired SIGCOMM and HotNets, and his teaching excellence in courses like CS 538 Advanced Computer Networks has been repeatedly recognized. Scientific Honors ACM SIGCOMM Rising Star Award NSF CAREER Award (2012) Sloan Research Fellowship (2014) Best Paper Awards (SIGCOMM, HotSDN, CoNEXT) IEEE ComSoc Data Storage Best Paper Engineering Council Outstanding Advisor Award (2015) Godfrey leads research in the Coordinated Science Laboratory (CSL) and contributes to the LDOS NSF Expeditions project. His group advises Ph.D. students on topics ranging from network verification to XR systems optimization, with alumni now at Meta, Google, and academic institutions like ETH Zurich.

Fabian Fassnachtمشاهده پروفایل

استاد

• Remote Sensing in Ecology
• Forest Ecosystems
• Urban Vegetation Monitoring
• +۷ مورد دیگر

Prof. Dr. Fabian Fassnacht holds the Professorship for Remote Sensing and Geoinformatics at the Institute of Geographical Sciences, Freie Universität Berlin. His research focuses on applying remote sensing technologies to understand ecological patterns and processes in vegetation ecosystems, particularly forest systems and urban trees. He specializes in developing workflows for quantifying forest attributes and creating synthetic remote sensing data to improve ecological understanding and monitoring. Education: PhD in Forestry Sciences (University of Freiburg, 2010-2014) Key Projects: FORZA (forest decline analysis), INSANE (spatial forest products), ErWiN (wildfire dynamics), SYSSIFOSS (synthetic forest data), SaMovar (invasive species monitoring) Research Focus: Multi-scale vegetation monitoring, 3D forest modeling, upscaling ecological processes, and wildfire risk assessment using LiDAR and UAV technologies His work addresses critical challenges in remote sensing applications across diverse ecosystems, including semi-arid forests and temperate woodlands. He has coordinated numerous research initiatives funded by BMBF, DAAD, DFG, and other international agencies. Current efforts involve integrating deep learning with traditional remote sensing methods to enhance forest inventory models and ecological assessments.

• Aerospace Manufacturing
• Autonomous Systems
• Aviation Management & Operations
• +۸ مورد دیگر

Dr. Ip-Shing Fan is a Senior Lecturer in Enterprise Systems at Cranfield University's IVHM Centre, with academic career spanning over three decades. His work bridges technology implementation, organizational behavior, and complex system interactions across aerospace, manufacturing, and healthcare domains. Dr. Fan leads the Digital MRO and Hangar laboratories at Cranfield's DARTeC Initiative and serves as Course Director for the MSc in Aviation Digital Technology Management. PhD in Computer Integrated Manufacturing from Cranfield University BSc in Industrial Engineering (First Class Honours) from Hong Kong Commonwealth Scholarship recipient His research focuses on socio-technical systems in technology implementation, with specialization in Digital Twin applications for aircraft health management, Industrial Automation in aerospace contexts, and Human Factors in maintenance operations. He established the European BEST research consortium for enterprise system implementation knowledge and develops solutions for Predictive Maintenance , Robotic Inspection systems, and Agile Manufacturing frameworks. Key publication trends show expertise in Aerospace Informatics (2022-2025), Enterprise System Implementation (1995-2010), and Supply Chain Knowledge Modeling (2008-2010). Recent work addresses AI Document Reconciliation , Autonomous Inspection Systems , and 3D Printing Applications in aviation maintenance. Dr. Fan chairs the BCS Beds Bucks Northants Branch and has consulted for industry leaders including Boeing, BAE Systems, and SAP. His career combines academic research with practical implementation across Digital Transformation in aviation, Operational Optimization in healthcare, and Knowledge Engineering standards development.

Jörg Schlüchtermannمشاهده پروفایل

استاد

• Healthcare Management
• Operations Management
• Procurement Strategies
• +۳ مورد دیگر

Jörg Schlüchtermann is a Full Professor for Business Administration (Operations Management) at the University of Bayreuth since 1996. He serves as Co-Director of the Institute for Medical Care Management and Health Care Sciences and holds a permanent Visiting Professor position at Frankfurt School. Diploma (1986) and Doctorate (1990) from the University of Münster Research Assistant at Münster (1986-1995), Habilitation in 1995 Professor for Industrial Management at the University of Frankfurt (pre-1996) His research focuses on Healthcare Management and Operations Strategy , particularly in hospital procurement, clinical pathways, and strategic cost management. He has pioneered methodologies for optimizing healthcare supply chains and resource allocation. Recent publications emphasize procurement innovation , strategic hospital financing , and process optimization in clinical settings. His work integrates traditional operations management with healthcare-specific challenges like privatization impacts and digital transformation. As Co-Director of the Institute for Medical Care Management and Health Care Sciences, Schlüchtermann leads interdisciplinary research teams exploring the intersection of healthcare delivery systems and business economics. His current projects focus on post-LIBOR financial instruments and adaptive procurement frameworks.

Leo Wuمشاهده پروفایل

مدرس ارشد

• Medical Robotics
• Assistive Robotics
• Manufacturing Robotics
• +۵ مورد دیگر

Dr. Leo Wu is a Senior Lecturer at the School of Mechanical and Manufacturing Engineering, University of New South Wales (UNSW), Sydney, Australia. He earned his BS and PhD in Mechanical Engineering from Tsinghua University, followed by postdoctoral roles at National University of Singapore (2014-2015) and Queensland University of Technology (QUT) as a Vice-Chancellor’s Research Fellow (2016-2018). From 2016-2020, he was affiliated with the Australian Centre for Robotic Vision, an ARC Centre of Excellence. PhD in Mechanical Engineering, Tsinghua University (2013) BS in Mechanical Engineering, Tsinghua University (2008) His research focuses on medical robotics , particularly flexible robots and intelligent perception systems for minimally invasive surgery . He has also made significant contributions to Lie groups theory in robotics , kinematic modeling and calibration for surgical and industrial robots, and wearable assistive technologies . His work integrates soft robotics with variable stiffness mechanisms and multimodal sensing , often leveraging machine learning and control engineering to enhance robotic autonomy and precision. Scientific awards include prestigious fellowships such as the QUT Vice-Chancellor’s Research Fellowship , QUT ECARD/VCRF Travel Fellowship , and Associate Fellowship of Higher Education Academy . He has received multiple academic honors from Tsinghua University and national scholarship programs. Dr. Wu actively supervises HDR students, focusing on surgical robotics and teleoperated orthopaedic systems . His research portfolio includes grants from the ARC Discovery Projects , UNSW MME RIS , and QUT internal schemes , covering topics like bioinspired flexible haptics , vision-guided robotic assembly , and precision motion capture systems . Collaborations extend to institutions like QUT, NUS, and clinical partners in robotic vision.

André N. Meyerمشاهده پروفایل

پژوهشگر

• Software Engineering
• Human-Computer Interaction
• Developer Productivity
• +۳ مورد دیگر

André N. Meyer is a Senior Researcher at the University of Zurich , affiliated with the Department of Informatics under the Faculty of Business, Economics and Informatics. He leads research in Human Aspects of Software Engineering , focusing on developer productivity , workplace wellbeing , and hybrid work environments through persuasive technologies like self-monitoring and goal-setting. PhD in Informatics (University of Zurich, 2019) Internships at Microsoft Research (Redmond, US) Visiting Researcher at University of British Columbia (Vancouver, Canada) His research spans developer productivity , hybrid team dynamics , and AI in medical diagnostics . Recent work includes FlowLabs (hybrid interruptibility tools), PersonalAnalytics (self-reflection systems), and FlowTeams (collaboration scheduling). Key article trends include task prioritization , interruptibility detection , and AI-driven medical imaging . His work on FlowLight reduced interruptions by 46% in large-scale studies. Scientific Awards CHI’17 Honorable Mention Award He supervises student projects at UZH, emphasizing bi-weekly meetings and asynchronous feedback. Grants include DSI Seed Funding, DSI Infrastructure Grants, and NRP funding for AI and hybrid work studies.

• Distance Education
• Online Learning
• Community of Inquiry
• +۳ مورد دیگر

Jennifer C. Richardson serves as the 150th Anniversary Professor in the Department of Curriculum and Instruction within Purdue University's College of Education, where she has held progressive academic appointments since 2002, advancing from Assistant Professor to full Professor and currently holding this distinguished endowed position recognizing sustained high-impact contributions to teaching and student development. Her educational background demonstrates deep specialization in educational research and design, with a Ph.D. in Curriculum and Instruction from University at Albany/SUNY, complemented by multiple master's degrees including Curriculum Design & Instructional Technology, Teaching English to Speakers of Other Languages, and Educational Administration. Her academic journey reflects interdisciplinary preparation spanning political science, language education, and administrative leadership. Richardson's research centers on the social dimensions of online learning environments, particularly through the Community of Inquiry framework. She investigates social presence dynamics, instructor-student interactions, and evidence-based design strategies that enhance both student learning outcomes and instructional efficiency. Her work bridges theoretical frameworks with practical applications for instructional designers and online educators, emphasizing the preparation of future learning technologists. Analysis of her recent publications reveals a strong focus on Community of Inquiry applications across disciplines, with increasing attention to digital repositories for online teaching resources, social learning analytics, and cross-cultural considerations in virtual education. Her scholarship consistently examines how social, cognitive, and teaching presence interact to create effective online learning experiences. AERA SIG Online Teaching and Learning Best Paper Award (2023) Purdue University’s 150th Anniversary Professor designation (2022+) Mildred B. and Charles A. Wedemeyer Award for Distance Education (2022) Purdue University Faculty Scholar (2019-2024) Multiple AECT and OLC awards for research and practice Graduate Faculty Mentor Award recognizing sustained contributions to graduate education As Project Co-Director for significant federally funded initiatives like the FIPSE Comprehensive Program on peer feedback in online discussions, Richardson has secured substantial external funding while mentoring graduate students through research assistantships. Her leadership extends to program development as former Computer Education Program Convener, where she shaped curricula for aspiring instructional designers. The PoRTAL digital repository project exemplifies her team-based approach to creating sustainable resources for online educators across institutional boundaries. Richardson maintains active leadership in professional organizations including AERA, AECT, and the Online Learning Consortium, contributing to the advancement of educational technology scholarship while directing major research initiatives that bridge theory and practice in online learning environments.

• Clinical Pharmacology
• Intravenous Anesthetics
• Pharmacokinetics
• +۴ مورد دیگر

Talmage D. Egan, MD, is Professor and Chair of the Department of Anesthesiology at the University of Utah School of Medicine, with a joint appointment as Adjunct Professor of Neurosurgery. He directs clinical practice in neuroanesthesia and obstetric anesthesia at the University of Utah Health Sciences Center. Previously, he served as Chief of Neuroanesthesia and President of the Medical Staff. Education : B.A. in Humanities (Magna Cum Laude) from Brigham Young University M.D. from the University of Utah School of Medicine (AΩA honor society) Residency in Surgery and Anesthesiology at the University of Utah and Stanford University Fellowship in Clinical Pharmacology at Stanford Physician Executive Training at Harvard School of Public Health Research Focus : Dr. Egan pioneers studies in intravenous anesthetic pharmacology, including pharmacokinetic-pharmacodynamic modeling of sedatives/analgesics, novel drug delivery systems, and optimization of total intravenous anesthesia (TIVA). His work on remifentanil-propofol interactions and propofol formulations has influenced global anesthesia protocols. He holds patents for drug delivery technologies and founded the Safe Sedation Training platform. Publications : His 200+ articles emphasize anesthetic pharmacology, drug interactions, and monitoring technologies. Recent works explore opioid alternatives, respiratory monitoring algorithms, and obesity-adjusted pharmacokinetic models, reflecting a consistent focus on precision anesthesia and patient safety. Awards : Inaugural Teaching Recognition Award (International Anesthesia Research Society) K.C. Wong Presidential Endowed Chair in Anesthesiology Leadership : Past President of the International Society for Anaesthetic Pharmacology; Associate Editor for British Journal of Anaesthesia and Anesthesiology ; authored the textbook Pharmacology and Physiology for Anesthesia (Elsevier). Mentored 20+ trainees who became independent investigators.

Scott Hoskingمشاهده پروفایل

دانشگاهی

• AI for Environmental Science
• Climate Change
• Machine Learning Applications in Meteorology
• +۷ مورد دیگر

Scott Hosking is a Senior Research Fellow at British Antarctic Survey (BAS) and The Alan Turing Institute , serving as Mission Director for Environmental Forecasting and Head of the BAS AI Lab. His work bridges AI innovation with critical climate science challenges, particularly in data-sparse polar regions. PhD in Climate Science from University of Cambridge (2005-2009) Established BAS AI Lab (2018) Co-Director of AI4ER Doctoral Training Programme (2019-2023) Research focuses on: AI-powered environmental forecasting systems Digital twin technologies for planetary monitoring Machine learning in climate modeling Sea ice and wildlife population tracking Reproducibility in geoscientific research Recent publications span weather prediction , precipitation downscaling , and extreme event analysis , with articles appearing in Nature , Nature Communications , and Geophysical Research Letters . Key projects include IceNet (Arctic sea ice forecasting) and Aardvark Weather (end-to-end AI weather prediction). Scientific recognition includes: The Laws Prize (BAS, 2017) Designation as AI for Good Exemplar (UK government, 2023) Inclusion in Nature Communications 25 most downloaded Earth science papers (2021) Secured over £25M in research funding as Principal Investigator, including projects with NERC , EPSRC , and ESA . Collaborates with institutions across Cambridge , Lund , and UiT The Arctic University .

Murray J. Côtéمشاهده پروفایل

دانشیار

• Healthcare Operations Management
• Health Services Delivery
• Predictive Analytics
• +۵ مورد دیگر

Murray J. Côté is an Associate Professor and PhD Program Director in the Department of Health Policy & Management at Texas A&M University Health Science Center . His work bridges quantitative methods with healthcare delivery challenges, particularly in rural settings. Education: BA in Political Science, MBA, PhD in Management Science Research Focus: Operational analysis, drone-aided healthcare, project management in rural hospitals Contact: mjcote@tamu.edu Dr. Côté specializes in healthcare operations management , examining systems for rural health service delivery , telehealth , and predictive analytics . His studies address information asymmetry in doctor-patient encounters and resource allocation in emergency services. His publications span journals like Decision Sciences and Health Care Management Science , with awards from the Decision Sciences Institute and Healthcare Financial Management Association . Recent work explores drone logistics for chronic disease management and cost-effectiveness analysis of diabetes prevention programs. Scientific Awards Decision Sciences Institute Research Awards Healthcare Financial Management Association Awards

Lauren Sullivanمشاهده پروفایل

استادیار

• Plant Ecology
• Community Ecology
• Movement Ecology
• +۵ مورد دیگر

Lauren Sullivan is an Assistant Professor at Michigan State University’s Kellogg Biological Station, Department of Plant Biology, and Ecology, Evolution & Behavior Program. She earned her Ph.D. from Iowa State University and specializes in plant population/community ecology, movement ecology, species invasions, and conservation/restoration ecology. Her research combines field experiments and theoretical models to understand how global change drivers (habitat fragmentation, nutrient loading, herbivore shifts) affect plant dispersal and ecosystem outcomes. Her lab focuses on the interplay between seed dispersal, nutrient enrichment, and herbivory in shaping grassland biodiversity. Recent work explores wind seed dispersal mechanics, fire impacts on Ozark woodlands, and climate-dispersal interactions in Geum triflorum . Her team emphasizes inclusivity, antiracist practices, and mental health support for lab members. Lauren’s publications (2025–2018) span seed bank limitations in prairie restoration, soil microbial responses to nitrogen, forb diversity conservation, and modeling frameworks for dispersal and productivity. Key themes include global change impacts, ecological modeling, and sustainable restoration strategies. She has mentored students like Laís, Ale, and Kate, while advocating for equity in STEM through lab initiatives. Scientific contributions include advancements in understanding biodiversity-productivity relationships, herbivore-assisted reinvasions, and ethical specimen collection. Her work often bridges theoretical and applied ecology, with applications in conservation policy and ecosystem management. Lab updates highlight her mentorship of graduate students and ongoing efforts to foster diversity in plant ecology, aligning with her commitment to creating inclusive scientific environments.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +۳ مورد دیگر

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.

Ryan Tsuchidaمشاهده پروفایل

استادیار

• Emergency Medicine
• Diversity and Inclusion
• Medical Education
• +۳ مورد دیگر

Ryan Tsuchida, MD is an Assistant Professor in the Department of Emergency Medicine at the University of Wisconsin–Madison School of Medicine and Public Health. He serves as Assistant Dean for Multicultural Affairs for Health Professions Learners, advancing diversity, equity, and inclusion (DEI) across five health professions degree programs and residency/fellowship programs under UW Health. Education: Undergraduate from University of California, Los Angeles; Medical degree from University of Michigan Medical School; Emergency Medicine residency at University of Michigan Medical Center (Chief Resident). Leadership: President-Elect of the Academy for Diversity and Inclusion in Emergency Medicine (ADIEM); former Chair of the Equity, Diversity, and Inclusion (EDI) Committee at UW. Research & Advocacy: Focus on DEI curricula, health equity dashboards, cultural humility, and systemic bias mitigation in emergency medicine. His work bridges clinical practice and institutional reform. Honors: Wisconsin’s Most Influential Asian American Leaders (2024), BerbeeWalsh Faculty Award for Excellence in Leadership and Service (2022-23), Outstanding Future Academician Award (2021), Dr. Arno Kumagai Award (2021).

Vibe Maria Laden Nielsenمشاهده پروفایل

پژوهشگر

• Pediatrics
• Emergency Medicine
• Triage Systems
• +۵ مورد دیگر

Vibe Maria Laden Nielsen is an M.D. and Senior Researcher at Aalborg University Hospital, affiliated with the Faculty of Health Sciences at Aalborg University. She works at the Danish Centre for Health Service Research within the Acute and Trauma Center, focusing on emergency medical services and pediatric care. Her research interests center around pediatric emergency medicine, with specific expertise in triage systems, cohort analysis of emergency care outcomes, vital sign monitoring, and prehospital care. Dr. Nielsen's work examines critical interventions, mortality patterns, pain management protocols for children, and innovative approaches to emergency medical services delivery. Her publication record shows consistent research activity from 2016 through 2025, with particular focus on pediatric emergency care systems, mobile emergency units, and pandemic response protocols. Recent publications demonstrate her leadership in register-based studies analyzing emergency medical interventions and outcomes. Dr. Nielsen actively collaborates on international research projects, as evidenced by her participation in multi-country studies examining patient priorities in acute care settings.