جستجوی استاد راهنمای دانشگاهی

Tine Verdonckمشاهده پروفایل

استاد

• Epidemiology
• Tropical Medicine
• Infectious Diseases
• +۷ مورد دیگر

Tine Verdonck is a Professor and medical epidemiologist at the Institute of Tropical Medicine (ITM) in Antwerp, Belgium. She holds a PhD from the University of Antwerp, focusing on HTLV-1 epidemiology in Peru. She has been involved in research and teaching since 1998, specializing in neglected tropical diseases, diagnostics, and public health approaches to zoonotic diseases. She serves as Vice Course Director of ITM’s Master of Public Health and leads modules in evidence-based decision-making, multivariable statistics, and zoonosis control. Her teaching spans international collaborations, including the MSc in Tropical Animal Health with the University of Pretoria and Berlin’s Charité Institute. Research interests include HTLV-1, leishmaniasis, and syndromic approaches to neglected diseases, with a focus on epidemiology and evidence synthesis. She has co-supervised two PhD students and contributed to major projects like NIDIAG (integrated diagnostics) and FA5 PERU (infectious disease policy). She has authored over 120 publications, reviews manuscripts for top journals (e.g., Clinical Infectious Diseases), and serves on ITM’s Research Integrity Committee and PLoS ONE’s editorial board. Her service activities include organizing conferences (e.g., 2009 Colloquium on Neglected Tropical Diseases in Latin America), scholarship selection committees, and participation in Belgian-Peruvian development forums. Her work integrates clinical, epidemiological, and public health perspectives to address global health challenges.

Yashwant Sinhaمشاهده پروفایل

دانشگاهی

• Renewable Energy Systems
• Offshore Wind Turbine Maintenance
• Predictive Maintenance Algorithms
• +۳ مورد دیگر

Yashwant Sinha, Ph.D., is an Instructor and MET Program Advisor at the Department of Electrical & Computer Engineering and Mechanical Engineering within the Henry M. Rowan College of Engineering at Rowan University. His expertise lies in renewable energy systems, particularly offshore wind turbine maintenance optimization and predictive maintenance strategies. Dr. Sinha holds a Ph.D. from Robert Gordon University (UK), an M.Phil. from the University of Cambridge (UK), and a B.E. from Sikkim Manipal Institute of Technology (India). His research focuses on improving offshore wind energy infrastructure through advanced maintenance models, condition monitoring techniques, and failure prognostics. Notable contributions include developing the Gestione software package for offshore wind turbine maintenance optimization and a wind farm maintenance management tool (patent pending). Key research trends across his work include integrating predictive analytics into maintenance frameworks, enhancing component reliability in harsh offshore environments, and optimizing lubrication systems for gearbox longevity. His recent presentations address human productivity improvements and risk mitigation in offshore operations. Awards: ETP Ph.D. Scholarship, ETP Conference 2013 Poster Award Memberships: ASQ, IEEE, NSPE, HEA (UK) Dr. Sinha advises on MET programs and collaborates internationally, evidenced by his participation in UK-China conferences on wind energy in cold climates and presentations at global forums like the Offshore Wind Power Conference (2021). His work bridges theoretical advancements in power electronics with practical offshore maintenance challenges.

Marian Crowley-Henryمشاهده پروفایل

استاد

• Human Resource Management
• International Migration
• Organisational Behaviour
• +۷ مورد دیگر

Marian Crowley-Henry is a Professor of Human Resource Management and Organisational Behaviour at Maynooth University School of Business, and Director of Research for the School (2023-2026). She holds a PhD from Lancaster University and has over 20 years' academic experience, including roles at Dublin Institute of Technology and Compaq/EMEA. Her research focuses on careers, migration, diversity, and inclusion, with over 60 peer-reviewed publications. Education: PhD in Management, Lancaster University (UK) MSc Commerce, University College Cork (Ireland) BBS & German, University of Limerick (Ireland) Research Interests: Sustainable careers for skilled migrants Gender and intersectionality in workplaces Workplace well-being and health Global talent management strategies Organisational inclusion policies Grants & Awards: Lead PI on €50k Promote project (2024) WAIB Best Paper Award (2021) Fulbright-Enterprise Ireland Scholar (2017) Emerald Best International Symposium (2019) Outreach: Editor-in-Chief, Irish Journal of Management (2021–) Guest Editor for Gender, Work & Organization special issues External examiner at multiple universities Consultancy work with Law Society Ireland and Nursing Managers Lab/Teams: Co-director of MotherNet EU project (2021–2024), leading interdisciplinary research on motherhood and work in 12 countries.

Neil Spencerمشاهده پروفایل

استاد

• Applied Statistics
• Multilevel Modelling
• Multivariate Methods
• +۳ مورد دیگر

Neil Spencer is a Professor of Applied Statistics at the Hertfordshire Business School, University of Hertfordshire, where he leads the Statistical Services Consulting Unit. His research focuses on applied statistics across multiple domains, including multilevel modeling, multivariate methods, social statistics, health/medical statistics, and statistical computing. He has extensive experience in commercial and public sector engagement, including high-profile projects such as testing randomness for National Lottery machines and expert witness work in legal proceedings concerning drug contamination. His primary research areas include: Multilevel modeling techniques Multivariate statistical analysis Social and demographic statistics Health and medical statistics Statistical computing and programming Multiple testing methodologies Randomness testing frameworks Analysis of his recent publications reveals strong focus on both methodological innovations and practical applications in health sciences, social policy, and computational statistics. His recent work demonstrates consistent engagement with contemporary issues including labor economics during the pandemic, educational innovations in medicine, and cardiovascular biomarker research. Dr. Spencer teaches courses in data analytics, multivariate statistics, introductory statistics, and statistical computing. He maintains active collaborations across multiple institutions and supervises doctoral students in applied statistics research.

Larissa Gebkenمشاهده پروفایل

پژوهشگر ارشد

• Value-Sensitive Design
• Digital Social Innovation
• Responsible Innovation
• +۲ مورد دیگر

Larissa Gebken serves as a Research Fellow in the Department of Computer Science at the University of Hamburg, affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. She is a key member of the ITG (Information Technology and Gender) work area and the WISTS research group, where she focuses on value-sensitive approaches to digital innovation. Her educational background includes a Master of Science degree. Gebken's research centers on Value-Sensitive Design, Digital Social Innovation, and Responsible Innovation, with particular attention to digital transformation in the social sector and ecosystem architecture management. She actively explores how technology can ethically support marginalized communities, especially individuals experiencing homelessness. Analyzing her recent publications from 2019-2024, a clear pattern emerges: Gebken predominantly investigates value-sensitive digital social innovations for vulnerable populations. While most work targets homelessness support systems, one 2019 publication addresses IoT integration in building information modeling. This body of work underscores her commitment to socially responsible computing and ethical design frameworks. Gebken collaborates closely with Prof. Dr. Ingrid Schirmer and Dr. Jun-Patrick Raabe within the ITG team. The available information does not indicate any scientific awards, formal student advising, or specific grant funding.

• Operations Research
• Optimization under Uncertainties
• Scheduling Algorithms
• +۴ مورد دیگر

Faicel HNAIEN is a Full Professor at the Université de Technologie de Troyes (UTT), where he leads the Computer Science and Applied Mathematics Academic Department since December 2024. He also heads the Optimization Axis (LIST3N laboratory) with 30 members and oversees the International Master's Track in Logistics and Transport in Togo since 2023. His research focuses on optimization under uncertainties, scheduling algorithms, inventory control, wireless sensor networks, and quantum optimization. His work bridges theoretical advances with practical applications in manufacturing systems, energy management, and logistics. Responsibilities include academic leadership roles, strategic planning for research initiatives, and international program coordination. His recent projects address challenges like energy cost optimization in production scheduling, robust supply chain management under uncertainty, and deployment strategies for sensor networks in hazardous environments. He actively contributes to interdisciplinary research, integrating stochastic modeling, combinatorial optimization, and quantum computing approaches. His publications span high-impact journals such as Annals of Operations Research and European Journal of Industrial Engineering. Research trends emphasize hybrid methods (exact/ heuristic), stochastic programming for inventory systems, and multi-objective optimization in dynamic environments. Current efforts explore quantum formulations for scheduling problems and AI-driven solutions for supply chain resilience.

• Smart Grids
• Power Distribution Networks
• Renewable Energy Systems
• +۳ مورد دیگر

Ayman Eltantawy is an Adjunct Assistant Professor at the University of Waterloo. His affiliations include membership in the Adjunct faculty and Faculty groups. His research focuses on advancing smart grid technologies, particularly in hybrid AC-DC distribution systems, renewable energy integration, and energy storage solutions. Key areas of interest include stochastic planning frameworks, load flow analysis, and optimization algorithms for improving grid reliability and efficiency. His work emphasizes practical applications such as PATREM (Performance Assessment Tool for Remote Electrical Microgrids), flywheel storage enhancement, and online DG connection assessments. The articles highlight trends in hybrid system configurations, renewable resource management, and grid modernization strategies. Notably, his research bridges theoretical models with real-world implementation challenges in smart grid infrastructure. While no specific advising or grant information is provided, his contributions to grid optimization and energy storage indicate active engagement in collaborative academic and industrial projects. His publications span from 2011 to 2019, reflecting sustained focus on evolving smart grid challenges.

• Educational Research Methodology
• Quantitative Methods in Social Sciences
• Multilevel Modeling
• +۴ مورد دیگر

Ioulia Televantou is a Lecturer in Quantitative Research Methods in Social Science at the Department of Education Sciences, European University Cyprus (since 2022). Previously, she held academic positions at the Theological School of the Church of Cyprus (2020-2022) and served as Adjunct staff at the University of Nicosia (2014-2022). Her academic journey includes a DPhil in Education from the University of Oxford (2014), with a thesis focused on methodological advancements in addressing biases in multilevel models. She also holds advanced degrees in Applied Statistics and Educational Research Methodology from Oxford, alongside a Mathematics degree from the University of Cyprus. Her research expertise centers on educational effectiveness, methodological rigor in multilevel modeling, and the impact of school composition on student outcomes. Notable projects include developing bias-corrected value-added models and investigating peer effects in educational settings. She has contributed to interdisciplinary studies on pharmacology teaching in medical curricula and immigrant students' experiences in European schools. Her award-winning work includes the WERA Visiting Scholar Award (2022) and the Bruce Choppin Award (2015). She has secured grants such as the Excellence Hubs-funded pharmacology teaching study (2019-2022) and collaborated on innovative research projects addressing longstanding biases in educational league tables. Her work bridges statistical methodology with real-world educational challenges, emphasizing evidence-based policy and equitable learning environments.

Ke-Hai Yuanمشاهده پروفایل

استاد

• Statistics
• Data Science
• Quantitative Methods
• +۱۰ مورد دیگر

Ke-Hai Yuan is a Professor at the University of Notre Dame with an office in E432 Corbett Family Hall. He leads the Statistical Methods for Real Data Lab , focusing on advanced statistical techniques for real-world data challenges. Education: Ph.D., University of California, Los Angeles (UCLA) M.S., Beijing Institute of Technology B.S., Beijing Institute of Technology Research and Teaching Interests: His work spans foundational and applied statistics, encompassing structural equation modeling, mediation and moderation analysis, robust methods, missing data, and computational statistics. He has contributed to methodologies for nonnormal distributions, asymptotics, bootstrap techniques, and statistical learning for big data. Teaching interests include structural equation modeling, computational statistics, and linear models. Labs and Teams: He oversees the Statistical Methods for Real Data Lab at Notre Dame, fostering innovation in empirical modeling and statistical software development.

• STEM Education
• Mathematics Identity Development
• Educational Equity
• +۵ مورد دیگر

Jamaal R. Young, Ph.D., is an Associate Professor and Director of Aggie STEM Teaching, Learning & Culture at Texas A&M University. He holds a Ph.D. in Curriculum & Instruction from Texas A&M (2011), an M.Ed. (2008), and a B.S. in Biomedical Engineering (2004). His work focuses on STEM equity, particularly for underrepresented populations, examining how opportunity structures like teacher quality, technology access, and out-of-school activities influence STEM dispositions and achievement. Young’s research employs meta-analysis, large-scale data analysis, and QuantCrit frameworks to investigate factors affecting Black learners’ mathematics identity and STEM persistence. He has edited journals like the Journal of Urban Mathematics Education and secured funding from NASA and NSF. His courses include EDCI685, EDCI689, and EDCI720, focusing on STEM pedagogy and instructional design. Key research themes include: Social determinants (racial bias, income) on STEM outcomes Impact of out-of-school time programs Teacher education and TPACK development QuantCrit applications in education research Recent publications emphasize equity in urban STEM education, Black girls’ STEM identity, and the role of parental and community support. His work bridges theory and practice, advocating for systemic changes to improve STEM access and retention.

Rajiv Ranganathanمشاهده پروفایل

دانشیار

• Motor Learning
• Biomechanics
• Robotics
• +۳ مورد دیگر

Rajiv Ranganathan is an Associate Professor in the Department of Kinesiology at Michigan State University. He holds a Ph.D. from The Pennsylvania State University. His research focuses on motor learning and biomechanics, particularly investigating how humans produce skilled movements and adapt to changes caused by aging, development, or movement disorders. Ranganathan employs experimental techniques like motion capture, robotics, and virtual reality alongside biomechanical modeling and simulations to uncover mechanisms of motor control. His work aims to develop novel training methods for motor skill learning and rehabilitation of movement disorders. Education: Ph.D., The Pennsylvania State University. Research Interests: Motor learning dynamics, human movement control, neurorehabilitation robotics, and the application of machine learning in motor skill assessment. He explores how variability and redundancy in motor tasks influence learning and adaptation. His studies often involve developing assistive technologies such as body-machine interfaces and semi-passive robotic platforms to enhance motor function in individuals with impairments. Recent work highlights themes like motor memory consolidation after stroke, age-related deficits in motor learning, and the design of open-source platforms for motor skill experiments. His research bridges biomechanics, robotics, and neuroscience to address clinical challenges in rehabilitation. Key contributions include advancements in understanding how error compensation occurs in redundant motor systems and the role of implicit motor adaptation across age groups. He emphasizes interdisciplinary approaches, advocating for stronger connections between theoretical models and empirical studies in motor learning research.

Nathan Marksمشاهده پروفایل

پژوهشگر ارشد

• Electric Machines and Drives
• Power Electronics
• Renewable Energy Systems
• +۲ مورد دیگر

Dr. Nathan Marks is a Postdoctoral Researcher at the School of Engineering , University of Newcastle, Australia. His career spans academic and defense-related research roles, including a 2016-2020 position as Electrical Research Engineer with Defence Science and Technology Group in Melbourne. Bachelor of Electrical Engineering (Honours 1, University Medal) - University of Newcastle, 2011 Doctor of Philosophy in Electrical Engineering - University of Newcastle, 2016 His research focuses on power electronics and renewable energy systems , particularly electric machines for maritime propulsion , multilevel converters , and real-time simulation . Key contributions include sensorless MPPT algorithms and stability analysis of PHIL systems . Recent publications (2024-2012) demonstrate expertise in electrical machine control , converter topologies , and power hardware-in-the-loop techniques. He teaches Power Electronics and Electric Machines courses while maintaining active IEEE memberships.

David Cortمشاهده پروفایل

استاد

• Social Demography
• Social Epidemiology
• Migration Studies
• +۳ مورد دیگر

David Cort is Professor of Sociology at the University of Massachusetts Amherst, specializing in social demography, health disparities, and labor stratification. His research examines HIV stigma dynamics, occupational hierarchies, and migration outcomes. Key publications analyze how stigma beliefs influence sexual behaviors across 22 African countries, workplace inequality in Sweden, and top-earner segregation in capitalist economies. Methodological work addresses biases in international field research. Current projects include NSF-funded studies on economic inequality and global health interventions. Teaches graduate courses in quantitative methods and social stratification.

Tian Tangمشاهده پروفایل

دانشیار

• Energy Policy
• Technology Policy
• Technology Innovation
• +۴ مورد دیگر

Tian Tang is an Associate Professor in Public Administration at Florida State University (FSU), affiliated with the College of Social Sciences and Public Policy. She directs the Sustainability & Governance Lab and holds a Ph.D. in Public Administration from Syracuse University. Her research focuses on energy and technology policies for clean energy innovation, smart city technologies, and digital governance. She has held fellowships including the Giorgio Ruffolo Doctoral Research Fellowship at Harvard Kennedy School (2014–2015) and the ITIF Energy Innovation Policy Scholar (2019). Education : Ph.D., Public Administration, Syracuse University (2016) Master in Public Policy, Tsinghua University B.A., Law & Economics, Tsinghua University Research Interests : Energy policy design and implementation Technology innovation in smart cities Climate resilience and disaster response Public sector digital transformation Inter-governmental collaboration Grants : NSF-funded projects on resilient infrastructure and smart-city frameworks ($3.6M+) DOE evaluation of renewable energy programs ($145K) NSF SCC-IRG Track 1 grant ($2.5M) Her work bridges policy analysis and practical governance challenges, emphasizing equity in public service delivery and sustainability. She has advised on low-carbon development and emergency management for Chinese and U.S. governments.

Phil Hayesمشاهده پروفایل

استادیار

• Sports Performance Enhancement
• Middle and Long-Distance Running
• Aerobic Interval Training
• +۷ مورد دیگر

Phil Hayes is an Assistant Professor in the Sport Exercise and Rehabilitation Department at Northumbria University, where he has been the longest serving member of the sport science staff since joining in 1991. He currently serves as admissions tutor and has previously held the position of Programme Leader for 14 years. Dr. Hayes is a BASES accredited Sport and Exercise Scientist and Chartered Scientist with extensive experience in sports physiology. PhD in Sports Science (awarded October 9, 2015) MSc in Sports Science (Education) (awarded August 31, 1989) Dr. Hayes' research focuses on enhancing sport performance, particularly in middle and long-distance running. His primary interests include the effect of fatigue on running gait (especially the role of muscle strength), aerobic interval training, quantifying training loads, and the relative age effect. His work combines laboratory-based research with practical applications in elite sports settings. Analysis of his recent publications (2020-2025) reveals a strong focus on running biomechanics, training methodology, and coaching practices. His research increasingly incorporates advanced statistical methods like multilevel functional regression models to analyze complex movement patterns. There's a clear trend toward interdisciplinary work combining physiology, biomechanics, and coaching science to optimize athletic performance. BASES accredited Sport and Exercise Scientist Chartered Scientist UK Athletics Level 4 middle-distance running coach BASES Accredited Physiologist Former accredited anthropometrist with ISAK Dr. Hayes supervises PhD students including Sherveen Riazati (researching fatigue effects on running gait) and Arran Parmar (investigating acute responses to aerobic interval training). He has provided sport science support for Premier League football teams, professional cricket teams, and international runners, including athletes involved in Dame Kelly Holmes' 'On Camp with Kelly' scheme. His applied work extends to coaching, where he serves as a UK Athletics Level 4 middle-distance running coach for a local athletics club, having coached multiple GB age-group teams. His research group focuses on Optimising Human Performance, with particular expertise in velocity, strength, fatigue, and muscle strength applications in sports contexts.