Find Academic Supervisors

Kai YangView profile

Professor

• Healthcare Systems Engineering
• Healthcare Data Analytics
• Healthcare Operation Workflow Management
• +18 more

Kai Yang is a Professor in the Department of Industrial and Systems Engineering at Wayne State University. His research spans interdisciplinary domains, focusing on healthcare systems optimization, quality engineering, and advanced design methodologies. He actively bridges statistical analysis with practical applications in medical operations, lean methodologies, and robust engineering design. Biography: Specializes in healthcare and industrial engineering Contact: 4815 Fourth Street, Detroit, MI 48201 Phone: 313-577-3858 Research Interests include Healthcare: Systems modeling, data analytics, surgical workflow optimization, and medical supply reuse Quality & Reliability: Statistical process control, multivariate methods, and warranty prediction Design Innovation: Lean product development, TRIZ theory, and axiomatic design Professional Leadership features roles like: Chair of Edward Medal Award Committee (ASQ, 2006-2007) Associate Editor for IIE Transactions and International Journal of Six Sigma Senior Member of Institute of Industrial Engineers Organizing Committee Member at INFORMS Healthcare Conference (2013) Global Consulting Impact : Provided DFSS/TRIZ training for corporations including Siemens, Apple, and Delta Electronics across 13 years (1996-2010), with notable projects in automotive manufacturing, healthcare process improvement, and electronics production.

William LivingstonView profile

Associate Professor

• Climate Change
• Forest Ecology
• Tree Pests and Diseases
• +11 more

William Livingston is an Associate Professor of Forest Resources at the University of Maine, affiliated with the School of Forest Resources within the College of Natural Sciences, Forestry and Agriculture. He divides his time across teaching (20%), research (30%), and administrative duties (50%). His work is supported by the Maine Agricultural and Forest Experiment Station and funded by USDA programs. He chairs the NE 1601 Multi-state Project on White Pine Health. B.S., Forestry, Michigan Technological University, 1976 M.S., Forest Science, University of Idaho, 1978 Ph.D., Plant Pathology, University of Minnesota, 1985 Dr. Livingston's research focuses on the health of forest ecosystems, particularly the interplay between climate change, land-use history, and invasive species. His work investigates tree pests and diseases such as beech bark disease and Caliciopsis canker, with special emphasis on eastern white pine decline. He integrates field-based discoveries into his teaching to enhance student learning. His sponsored research includes multiple USDA-funded projects assessing the impact of pathogens on wood quality, lumber yield, and silvicultural management strategies. Though no publications are listed, his research consistently targets forest health under environmental stress and invasive threats. Impact of Caliciopsis canker on white pine wood quality and lumber yield (USDA ARS, $128,273) Lumber Yield Based on Caliciopsis Symptom Severity Ratings (USDA Forest Service, $11,300) Extent and severity of Caliciopsis canker of white pine (USDA Forest Service, $77,730) Sustaining Wabanaki Traditions through Adaptations: Preparing for the Emerald Ash Borer (Northern States Research Cooperative, $58,178) Dr. Livingston advises and mentors students through both undergraduate and graduate coursework and research initiatives. His administrative leadership includes chairing a multistate research project and contributing to the Maine Agricultural and Forest Experiment Station. He is actively involved in outreach and applied forest science. His research is conducted through field-based investigations and collaborative projects, emphasizing sustainable forest management and ecological resilience. He leverages Maine’s diverse forest ecosystems as a living laboratory for both research and education.

Tárcius N. RamosView profile

Researcher

• Nonlinear Optical Properties
• Quantum Chemistry
• Multiscale Molecular Modeling
• +4 more

Tárcius N. Ramos is a researcher at the Unit of Theoretical and Structural Physico-Chemistry within the Namur Institute of Structured Matter at the University of Namur. His work focuses on nonlinear optical properties, second-harmonic generation, and two-photon absorption using multiscale quantum mechanical/molecular mechanical (QM/MM) modeling approaches. Active Principal Investigator (PI) in projects like LASHG/MM: Liquid-Air Interfacial SHG Responses Probed by Multiscale Molecular Modeling (2022–2025) and Dynamical Chromophore-Ion Interactions Probed by Nonlinear Optical Properties (2020–2022). Collaborates extensively with Professor Benoît Champagne and international institutions, including Université Bordeaux (2024). Ramos investigates molecular polarizability, hyperpolarizability, and structural dynamics at liquid-air interfaces. His research spans solvents , ion pairs , and photonic interactions , contributing to sustainable technologies like eco-friendly photovoltaics. Current projects analyze multistate molecular switches and SHG responses in complex systems. He has presented at major conferences, including the Congress of Theoretical Chemists of Latin Expression (CTELE2024) , and participates in organizing academic events. His work aligns with UN Sustainable Development Goals (SDGs) related to clean energy (SDG 7) and climate action (SDG 13).

Barbara Błażejczyk-OkolewskaView profile

Professor

• Nonlinear Dynamics
• Mechanical Systems with Impacts
• Chaos Theory
• +3 more

Professor Barbara Błażejczyk-Okolewska is affiliated with the Department of Machine Dynamics at the Faculty of Mechanical Engineering , Technical University of Łódź , Poland. Her research focuses on nonlinear dynamics, vibro-impact systems, and chaos theory in mechanical engineering contexts. Her work examines the behavior of mechanical systems with impacts, including cantilever beams, oscillators, and moving base systems. Key areas include Lyapunov exponent calculations, hard/soft impact modeling, and synchronization phenomena in chaotic systems. Recent publications (1993–2025) analyze impact modeling, chaos control, and numerical simulations in mechanical systems. Topics span from Hertzian contact mechanics to multistability in oscillators, with applications in structural dynamics and nonlinear vibrations. Scientific awards : No explicit information provided. Advising : No student names listed in the provided text. Research collaborations include co-authors such as Andrzej Okolewski, Krzysztof Czołczyński, and Tomasz Kapitaniak.

Agnieszka ChudzikView profile

Researcher

• Mechanical Engineering
• Dynamical Systems
• Finite Element Analysis
• +3 more

Dr. Agnieszka Chudzik is a researcher affiliated with the Department of Machine Dynamics at Lodz University of Technology (Poland). Her work spans mechanical engineering, nonlinear dynamics, and computational methods, with a focus on bearing mechanics, finite element analysis (FEM), and chaotic systems. Research Interests: Dr. Chudzik investigates mechanical reliability and fatigue life prediction in roller bearings, utilizing FEM to analyze stress distribution and dynamic behavior. Her research also explores chaotic oscillators, multistability, and synchronization phenomena in nonlinear systems. Publications: Her recent work includes studies on extreme events in nearly conservative systems, supertransient chaos in Liénard systems, and novel applications of FEM in composite structures. She has collaborated with prominent researchers like Tomasz Kapitaniak and Bogdan Warda. Collaborations: Active in international collaborations, she has contributed to journals such as CHAOS, Entropy, and European Physical Journal - Special Topics. Her work bridges theoretical nonlinear dynamics with practical engineering challenges.

Alyson van RaalteView profile

Researcher

• Mortality Disparities
• Lifespan Inequality
• Population Health
• +7 more

Alyson van Raalte is a Research Scientist at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany, where she is affiliated with the Laboratory of Population Health and the MaxHel Center. Her research focuses on mortality disparities, lifespan inequality, and socioeconomic determinants of population health. She earned her PhD in public health from Erasmus Medical Center, Rotterdam, and is an alumnus of the European Doctoral School of Demography. Her work integrates advanced demographic methods with public health applications to understand how inequalities in mortality evolve across populations and over time. Her research interests include lifespan inequality, healthy longevity, cohort analysis, demographic methods for measuring mortality variation, and the social determinants of health. She investigates how factors such as education, region, and childhood adversity contribute to disparities in life expectancy and lifespan variation. Her methodological contributions include perturbation analysis of lifespan variability and decomposition techniques for mortality inequalities. The trends in her recent publications reveal a strong focus on lifespan inequality, cohort mortality profiling, educational and regional disparities in mortality, and the impact of structural factors like smoking and reunification on population health. She frequently employs decomposition methods, multistate models, and innovative visualization techniques to analyze complex demographic data. European Demographer Award (mid-career) from Population Europe European Research Council (ERC) Starting Grant (LIFEINEQ) Max Planck Society STG Extension Award Alyson van Raalte has been supported by significant grants, including an ERC Starting Grant and Max Planck Society funding. She collaborates extensively with international researchers and contributes to large-scale projects such as COVerAGE-DB, a global database on age-structured COVID-19 cases and deaths. While no formal students are listed, she likely mentors junior researchers through her collaborative work and leadership in methodological innovation. She is actively involved in research groups focused on population health and contributes to software development, including R and Stata packages for Markov chain analysis. Her work bridges demographic theory, statistical methodology, and real-world public health challenges.

• Dynamical Systems
• Complex Systems
• Control Theory
• +2 more

Jean-Jacques Slotine is a Professor at the Massachusetts Institute of Technology (MIT), holding appointments in the departments of Mechanical Engineering, Information Sciences, and Brain Sciences. His research focuses on dynamical systems, control theory, robotics, and computational neuroscience. He is renowned for contributions to adaptive control, nonlinear systems, and contraction theory. Key research interests include the analysis and control of complex systems, with applications in robotics, neural networks, and biological systems. His work combines theoretical rigor with practical implementations, emphasizing stability and robustness in dynamic environments. Recent articles explore topics such as associative memory in neurons, obstacle avoidance in robotics, and quantum dynamics using classical action principles. His publications demonstrate interdisciplinary collaboration across engineering, neuroscience, and physics. No specific student advisees or scientific awards are listed in the provided texts. Active research continues, with a focus on advancing control methodologies for autonomous systems and understanding neural dynamics.

Yingying (Samara) RenView profile

Assistant Professor

• Digital Fabrication
• Physics-Based Simulation
• Inverse Design Optimization
• +3 more

Yingying (Samara) Ren is an Assistant Professor in Computer Science at the Institute of Science and Technology Austria (ISTA), leading the Geometric Computing and Digital Fabrication group. Her research focuses on digital fabrication, physics-based simulation, and computational inverse design, with applications in medical devices, architecture, and soft robotics. She holds a PhD from EPFL (2019–2024) and dual BS degrees in Mathematics and Computer Science from UIUC (2015–2019). Her work explores novel structures and materials through geometric reasoning and numerical methods. Notable projects include Tensors (tensegrity structures with elastic rods), C-shells (deployable gridshells), and Umbrella Meshes (freeform deployable mechanisms). Recent contributions span inflatable structures, elastic knots, and weaving-based architectural systems. Ren’s research integrates computational design, material science, and advanced manufacturing. She has published in top venues like ACM Transactions on Graphics and SIGGRAPH, focusing on deployable systems, elastic mechanics, and inverse design. Her lab emphasizes practical fabrication, with prototypes ranging from small-scale elastic knots to large architectural pavilions.

Miguel Beneitez GalanView profile

Lecturer

• Nonlinear Dynamics
• Machine Learning
• Fluid Mechanics
• +3 more

Miguel Beneitez Galan is a Lecturer in Fluid Mechanics at the University of Manchester's Department of Mechanical and Aerospace Engineering. His research focuses on nonlinear dynamics, machine learning, and complex fluid systems, particularly viscoelastic flows and turbulence control. He actively supervises PhD students and hosts postdoctoral researchers. Education: Doctor of Science (PhD) in Engineering Mechanics, Kungliga Tekniska Hogskolan (2017–2021) Master of Science (MSc) in Engineering Mechanics, Kungliga Tekniska Hogskolan (2015–2017) Bachelor of Science (BSc) in Engineering in Industrial Technologies, Universidad Carlos III de Madrid (2011–2015) Research interests include the Navier-Stokes equations, machine learning applications (e.g., deep reinforcement learning), and stability analysis of complex fluid jets. His work bridges fluid dynamics with data science to address challenges in engineering and sustainability. He leads the Fluids Research Group at Manchester, collaborating on projects like the The Well dataset for machine learning in physics. Recent publications explore turbulence control, viscoelastic flow instabilities, and elasto-inertial dynamics. He is recruiting PhD students and welcomes collaboration on fluid mechanics, machine learning, and applied mathematics. Contact: miguel.beneitez@manchester.ac.uk .

Melissa NorthwoodView profile

Assistant Professor

• Geriatric Nursing
• Urinary and Fecal Incontinence Management
• Diabetes Care for Older Adults
• +5 more

Melissa Northwood serves as an Assistant Professor in the School of Nursing within McMaster University's Faculty of Health Sciences. Her academic appointment focuses on geriatric nursing and community-based healthcare systems, with particular expertise in continence care for older adults with chronic conditions. Her research centers on urinary and fecal incontinence management in aging populations, especially among older adults with diabetes and multiple chronic conditions. Northwood investigates care coordination models, self-management strategies, and integrated health-social care systems, frequently employing mixed-methods approaches and community partnership frameworks. Her work demonstrates consistent focus on vulnerable older adults in home care, complex continuing care, and community settings, with significant emphasis on translating research into practical care models. Analysis of her 15 most recent publications reveals evolving research trajectories: early work concentrated on continence instruments and definitions (2017-2018), shifting toward diabetes-continence comorbidity studies (2019-2021), then expanding into pandemic-responsive care models and scalability assessments for community programs (2022-2025). Her methodology increasingly incorporates implementation science frameworks and complex systems approaches. Northwood actively teaches Nursing Practice with the Community: Populations, Partnerships, Politics and Power (NURSING 3CN3), having instructed this course repeatedly from 2022-2025 across multiple terms. Her teaching emphasizes community engagement and policy awareness in nursing practice. She leads the Aging, Community and Health Research Unit's Community Partnership Program (ACHRU-CPP), a significant initiative developing and evaluating care models for older adults with diabetes. Her research frequently involves interdisciplinary teams across nursing, geriatrics, and health services, with strong community stakeholder engagement throughout all project phases.

• mathematical biology
• stochastic modelling
• tumour growth
• +11 more

Tomás Alarcón is an ICREA Research Professor at the Centre de Recerca Matemàtica (CRM) in Bellaterra, Barcelona, where he leads the Cancer Modelling Group. He has been affiliated with CRM since November 2010 and was appointed to an ICREA Research Professorship in October 2015. He also serves as deputy director of CRM since March 2016 and is an Affiliated Professor at the Department of Mathematics, Universitat Autònoma de Barcelona since September 2013. Dr. Alarcón earned his PhD in Theoretical Physics from the University of Barcelona in 2000. Following his PhD, he held postdoctoral positions at the University of Oxford (2001-2003), University College London (2003-2006), and Imperial College London (2006-2009). He briefly served as a senior researcher and group leader at BCAM in Bilbao, Spain (2009-2010) before joining CRM. His research focuses on mathematical modeling of complex biological systems, with particular emphasis on multiscale modeling of tumor growth, hybrid methods for multiscale models, stochastic modeling of somatic cell reprogramming, robustness and evolvability in relation to drug resistance, stochastic models in population dynamics, and membrane biophysics and microfluidics of biofluids. His work integrates phenomena across different biological scales, from angiogenesis to cell-cycle progression under oxygen starvation. Analysis of his recent publications reveals a strong focus on computational oncology, with particular attention to epigenetic regulation, tumor microenvironment mechanics, and cancer metabolism. His work combines mathematical rigor with biological relevance, often collaborating with experimentalists to validate theoretical predictions. Key themes in his recent work include chromatin dynamics, metabolic regulation in cancer, multiscale modeling approaches, and the application of dynamical systems theory to biological problems. ICREA Research Professorship (2015) Dr. Alarcón has mentored numerous PhD students and postdoctoral researchers, many of whom have gone on to successful academic careers. His group collaborates extensively with researchers at institutions including University of Oxford, University College London, Universitat Autònoma de Barcelona, and various international centers. He has received research funding for projects related to cancer modeling and mathematical biology, though specific grants are not detailed in the provided information. His laboratory, the Cancer Modelling Group at CRM, consists of research fellows, postdocs, PhD students, and collaborators working on various aspects of mathematical oncology and computational biology. The group is also part of the DysCoVir I2SysBio-CRM Associated Unit, indicating a broader collaborative network in systems biology.

Melody LeHewView profile

Professor

• Sustainability in Fashion
• Sustainable Retailing
• Sustainable Consumption
• +4 more

Dr. Melody LeHew serves as Professor and Graduate Fashion Program Director at Kansas State University's School of Consumer Sciences within the College of Health and Human Sciences. She is a certified faculty member authorized to direct doctoral and master's students in Fashion Studies. Education: Ph.D. in Retail and Consumer Science, University of Tennessee, Knoxville M.S. in Textiles and Clothing, The Ohio State University B.S. in Textiles and Clothing – Fashion Merchandising, The Ohio State University Research Focus: Dr. LeHew's scholarship centers on sustainability integration across fashion industry systems. Her work examines sustainable retailing strategies, consumer behavior in sustainable consumption, educational frameworks for sustainability, and circular economy implementation in soft goods production and distribution. She connects theoretical principles with industry transformation through business strategy and consumer behavior analysis. Scientific Awards: No specific awards or fellowships were documented in the provided materials. Advising and Funding: Certified to supervise doctoral and master's candidates, Dr. LeHew secured competitive grants from USDA NIFA Higher Education Challenge and the International Council of Shopping Centers. She actively contributes to the federal multistate research project NC1030 focused on sustainable/resilient systems responding to disruptions. Her service includes Faculty Senate presidency and co-chairing K-State's Sustainability Strategic Plan Committee. Professional Leadership: As former President of the International Textile and Apparel Association and interim Department Head of Hospitality Management, she demonstrates commitment to academic governance through servant leadership philosophy and shared decision-making processes.

Richard DawesView profile

Assistant Professor

• Theoretical Chemistry
• Computational Chemistry
• Potential Energy Surfaces
• +6 more

Richard Dawes is an Assistant Professor at Missouri University of Science and Technology, specializing in theoretical and computational chemistry. His research focuses on developing methods to construct global potential energy surfaces for studying molecular spectroscopy and dynamics relevant to combustion, atmospheric, and interstellar chemistry. He leads research in multistate multireference quantum chemistry and potential energy surface development. Dawes received his Ph.D. from the University of Manitoba in 2005. He then completed postdoctoral work with Prof. Tucker Carrington Jr. at the Université de Montréal and with Prof. Donald L. Thompson on fitting potential energy surfaces. In 2009, he worked with Dr. Ahren W. Jasper at the Combustion Research Facility before joining Missouri University of Science and Technology as an Assistant Professor in 2010. Richard Dawes' research centers on the development of accurate potential energy surfaces to predict and understand molecular spectroscopy and dynamics. His group investigates systems relevant to combustion, atmospheric chemistry, and interstellar environments. They develop interpolative fitting methods that combine hundreds or thousands of individual processors on high-performance computing clusters to automatically refine potential energy surfaces toward negligible error. Their work includes studies of ozone, spin-forbidden chemistry, van der Waals systems, and molecular dimers. A key focus is understanding how molecular dynamics can be sensitive to surface topography, especially at low temperatures. Dawes' recent publications demonstrate a strong focus on potential energy surface development for various molecular systems, with applications spanning atmospheric chemistry, interstellar environments, and combustion processes. His work increasingly incorporates advanced computational methods like Quantum Monte Carlo and multireference approaches to achieve higher accuracy. A notable trend is the application of these methods to study astrochemically relevant molecules and reactions, reflecting growing interest in computational astrochemistry. Early career award by the U.S. Department of Energy (2013) Flygare award lecture Richard Dawes has mentored several graduate students to completion, including Dr. Andrew Powell and Dr. Phalgun Lolur, who have gone on to postdoctoral positions at prestigious institutions. His research has been generously supported by the Department of Energy (DE-SC0010616) and the National Science Foundation (CHE-1300945), reflecting the significance of his work in theoretical chemistry and potential energy surface development. The Dawes Research Group operates at the intersection of theoretical chemistry, quantum dynamics, and high-performance computing. They collaborate with researchers across the globe, including groups in France, China, and Canada, focusing on developing and applying advanced computational methods to solve challenging problems in molecular spectroscopy and dynamics.

Dean MalvickView profile

Professor

• Plant Pathology
• Fungal Pathogens
• Oomycete Pathogens
• +5 more

Dean Malvick is a Professor and Plant Pathology Leader at the University of Minnesota , affiliated with the Department of Agriculture and Natural Resource Systems within the Minnesota Invasive Terrestrial Plants and Pests Center . His career spans research and extension programs focused on fungal and Oomycete pathogens affecting field crops, particularly soybean and corn diseases such as sudden death syndrome, brown stem rot, Goss’s wilt, and corn tar spot. Education : PhD in Plant Pathology with a minor in Microbial Ecology (University of Minnesota, 1997); MS in Botany and Plant Pathology (Oregon State University, 1987); BS in Biology (Bemidji State University, 1983). Research interests center on pathogen population dynamics , host-pathogen interactions , and molecular diagnostic development . Key projects include improving disease management strategies through problem-solving research, understanding associations between fungal pathogens and soybean, and validating molecular tools like qPCR and LAMP assays. Recent work highlights soybean root/stem diseases , corn tar spot , and fungicide efficacy monitoring . Article trends reveal expertise in plant-microbe interactions , diagnostic techniques , and field-based disease management . Publications emphasize Phytophthora sojae , Fusarium virguliforme , and Phyllachora maydis , with applications in molecular detection , fungicide resistance , and predictive modeling . Malvick collaborates with institutions like the University of Wisconsin-Madison and Corteva, Inc. , securing grants from organizations such as the Minnesota Soybean Research & Promotion Council and Minnesota Corn Research & Promotion Council . His extension activities include educating producers and agricultural professionals on disease occurrence, diagnosis, and sustainable management practices.

• Survival Analysis
• Interval Censoring
• Epidemiology
• +1 more

Klaus Langohr is a researcher in the Department of Statistics and Operational Research at Universitat Politècnica de Catalunya's School of Mathematics and Statistics. He contributes to the GRBIO - Bioestadística i Bioinformàtica research group and the Institut de Recerca i Innovació en Salut. His work spans survival analysis, interval censored data, and epidemiological applications across neuroscience and public health domains. Key Expertise : Survival Analysis, Interval Censoring, Epidemiology, R Software Collaborations : Multi-institutional projects in Spain focusing on neurological disorders and pandemic data modeling His recent publications demonstrate methodological innovations in interval-censored data analysis, with applications to epilepsy surgery outcomes (2024), lithium pharmacokinetics in perinatal psychiatry (2024), and longitudinal studies of Down syndrome interventions (2022). He develops statistical software packages like GofCens and FHtest for the R community. Article trends reveal cross-disciplinary impact across Neurology (epilepsy, Down syndrome), Public Health (COVID-19, pandemics), Psychiatry (addiction, burnout), and Medical Statistics (methodological contributions).