جست‌وجوی استاد و پژوهشگر

Shivaram Kalyanakrishnanمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +۵ مورد دیگر

Shivaram Kalyanakrishnan is an Associate Professor at the Department of Computer Science and Engineering , Indian Institute of Technology Bombay , specialising in Artificial Intelligence and Machine Learning . His research spans sequential decision making , multiagent learning , multi-armed bandits , and humanoid robotics , with applications in robot soccer , computer games , and online advertising . He teaches advanced courses like CS 747: Foundations of Intelligent and Learning Agents and CS 748: Advances in Intelligent and Learning Agents , focusing on end-to-end system design and theoretical analysis. His scientific awards include the Best Student Paper Award at RoboCup International Symposium 2006 and nomination for Best Student Paper Award at AAMAS 2007 . His work on reinforcement learning and policy iteration has been published in leading venues such as IJCAI , ICML , and COLT , with recent contributions to railway scheduling and bandit algorithms. While no explicit list of advisees is provided, his research projects and publications suggest mentorship of students in collaborative efforts. Contact : shivaram@cse.iitb.ac.in .

Leslie Ann Goldbergمشاهده پروفایل

استاد

• Algorithms
• Complexity Theory
• Randomised Algorithms
• +۵ مورد دیگر

Leslie Ann Goldberg is a Senior Research Fellow at St Edmund Hall and Professor of Computer Science at the University of Oxford. She currently serves as Head of the Department of Computer Science (on sabbatical 2025-26) and focuses on foundational problems in Algorithms and Complexity Theory , particularly randomised algorithms for network communication, machine learning, and statistical physics models. Her research includes solving Aldous' 1987 conjecture on backoff protocol instability (with John Lapinskas), developing rigorous mathematical analysis frameworks for algorithmic efficiency, and advancing approximate counting techniques via Markov Chain Monte Carlo methods (with Andreas Galanis and collaborators). Key projects involve graph homomorphisms , Moran process dynamics , and #BIS complexity class analysis. Recent publications (2023-2024) span topics like Sybil defense mechanisms, low-temperature sampling on random graphs, and parameterised subgraph counting modulo 2. Her work demonstrates cross-disciplinary impact in computational biology, statistical physics, and database theory. Scientific Awards include Best Paper Prizes at ICALP 2016, ICALP 2010, and IPEC 2017. She supervises PhD student Paulina Smolarova and collaborates extensively with researchers in Oxford and beyond.

• Finite Model Theory
• Graph Structure Theory
• Computational Complexity
• +۳ مورد دیگر

Kord Eickmeyer is a Lecturer at Technische Universität Darmstadt in the Department of Mathematics, specializing in the mathematical logic group. He holds a PhD in mathematics from Humboldt University Berlin and has held postdoctoral positions at TU Darmstadt (2011–2017) and the National Institute of Informatics in Tokyo (2011–2013). His research focuses on finite model theory, graph structure theory, and computational complexity, particularly in descriptive and parameterized complexity, as well as randomization and derandomization techniques. Research interests include exploring the boundaries of computational complexity through logical frameworks, analyzing graph structures for efficient algorithm design, and investigating the role of randomness in computation. His work bridges theoretical computer science and mathematical logic, with applications in algorithm design and formal methods. Publications span topics from model-checking on ordered structures to gap-planar graphs and randomized logics. Collaborations include prominent institutions like the National Institute of Informatics and Humboldt University Berlin. No scientific awards are explicitly listed, but his extensive academic contributions reflect a strong research trajectory. Advising and grants are not detailed in the provided text, though his academic career includes supervision roles during his PhD and postdoctoral phases. His involvement with the mathematical logic group at TU Darmstadt highlights collaborative research efforts in foundational areas of computer science and mathematics.

• Numerical Analysis
• Computational Mathematics
• High-dimensional Integration and Expectations
• +۸ مورد دیگر

Dirk Nuyens is a Senior Lecturer in the Department of Computer Science at the Faculty of Engineering Sciences, KU Leuven, Belgium. He is affiliated with the Numerical Analysis and Applied Mathematics (NUMA) research unit and is a member of the iSi Health Institute for Physics-based Modeling for In Silico Health. He also serves on the Faculty Council of Engineering Sciences and the Programme Committees for Engineering Sciences and Computer Science. Education: While specific degrees are not listed, his expertise and research output indicate advanced training in numerical analysis, computational mathematics, and applied mathematics. Research Interests: His primary research focuses on numerical analysis, computational mathematics, and quasi-Monte Carlo (QMC) methods. Specific areas include high-dimensional integration and approximation, lattice rules, low-discrepancy sequences, uncertainty propagation, and financial engineering. He develops algorithms for efficient sampling, integration, and approximation in high-dimensional spaces, with applications in uncertainty quantification, Bayesian inversion, and PDEs with random coefficients. Research Trends: His recent publications emphasize the construction and analysis of embedded lattice-based algorithms for multivariate function approximation and integration. There is a strong focus on achieving higher-order convergence rates, particularly in Korobov and Sobolev spaces, and on developing randomized lattice rules for improved error bounds. His work bridges theoretical developments in numerical analysis with practical implementations in scientific computing and engineering. Scientific Contributions: He has authored or co-authored numerous influential papers in top-tier journals such as Mathematics of Computation , Journal of Complexity , SIAM Journal on Numerical Analysis , and Journal of Computational Physics . His work on lattice rules, QMC methods, and high-dimensional integration has been widely cited and used in fields ranging from computational finance to theoretical physics. Projects and Funding: He leads or co-leads several ongoing and completed research projects funded by national and international agencies. These include projects on turbulence reconstruction from partial observations, uncertainty quantification for climate control in buildings, computational methods for infinite-dimensional Bayesian inversion, circularity improvements in scrap analysis, and ML-based sensitivity analysis. Software Development: He maintains and contributes to open-source software repositories for QMC point generation, including the Magic Point Shop and QMC4PDE projects. These provide efficient implementations of lattice and digital sequence generators in MATLAB, C++, and Python. Institutional Service: Beyond research, he contributes to academic governance through his roles in faculty and departmental councils, influencing curriculum development and strategic planning in engineering and computer science education at KU Leuven.

Nidhi Sofatمشاهده پروفایل

استاد

• Rheumatology
• Osteoarthritis
• Inflammation Mechanisms
• +۵ مورد دیگر

Professor Nidhi Sofat is a Professor of Rheumatology at St George's, University of London, and a Consultant Rheumatologist at St George's University Hospitals NHS Foundation Trust. She leads the NIHR Integrated Academic Programme for Clinical Academic Trainees, overseeing research and training programs such as the PGCert in Research Skills and Methods. She qualified in medicine from University College London (1996) with First Class Honours, completed specialist rheumatology training in 2007, and earned her PhD from the Kennedy Institute of Rheumatology (Imperial College London). Her research focuses on understanding pain and inflammation in musculoskeletal diseases, particularly osteoarthritis and rheumatoid arthritis. Her group pioneered the Osteoarthritis Bone Score (OABS), the first histological scoring system for bone marrow lesions in osteoarthritis. Key research areas include mechanisms of pain sensitization, imaging techniques (MRI), clinical trials (e.g., DUPRO, PAPO), and collaborations with institutions like the University of Nottingham and Royal Veterinary College. She has received awards such as the Michael Mason Prize (2013) and Wellcome Trust Fellowship (2003). Her clinical roles include managing general rheumatology, inflammatory arthritis, and osteoarthritis at the Hotung Centre. She has contributed to national guidelines via the Arthritis and Musculoskeletal Alliance (ARMA) and served on committees like the British Society for Rheumatology's Heberden Committee. Major grants include funding from NIHR, Versus Arthritis, and the Wellcome Trust. Collaborations span academic and industry partners, including Pfizer and Merck. Her translational research facility bridges clinical and experimental work, aiming to improve diagnostic tools and therapies for arthritis.

Dirk Sudholtمشاهده پروفایل

استاد

• Randomised Algorithms
• Algorithmic Analysis
• Combinatorial Optimisation
• +۵ مورد دیگر

Dr. Dirk Sudholt is a Full Professor at the University of Passau and a Visiting Professor at the University of Sheffield. He holds a Ph.D. from Technische Universität Dortmund and has held postdoctoral positions at the International Computer Science Institute (ICSI) in Berkeley and the University of Birmingham. His research focuses on randomized algorithms, algorithmic analysis, and combinatorial optimization, with expertise in the theoretical analysis of bio-inspired search heuristics like evolutionary algorithms and ant colony optimization. His work emphasizes rigorous runtime analysis to understand algorithmic performance and design principles. Education: PhD in Computer Science, Technische Universität Dortmund (2008) Diploma in Computer Science, Technische Universität Dortmund (2004) Research Interests: Runtime analysis of evolutionary algorithms Algorithmic design for multimodal optimization Noise robustness in metaheuristics Parallel and distributed evolutionary computation Grants: SAGE: Speed of Adaptation in Population Genetics and Evolutionary Computation (EU FP7, 2014–2016) Teaching: University of Passau: Courses on algorithms, evolutionary computation, and randomized algorithms

Thomas Jansenمشاهده پروفایل

دانشیار

• Evolutionary Algorithms
• Optimization
• Computational Intelligence
• +۳ مورد دیگر

Thomas Jansen is an Associate Professor and Head of the Department of Computer Science at Aberystwyth University. His research focuses on evolutionary algorithms, stochastic search heuristics, and theoretical computer science, with particular emphasis on optimization, dynamic environments, and algorithm performance analysis. He has led and contributed to several research projects, including the Wales Randomised Optimisation Algorithms Network (focused on advancing AI and optimization techniques) and the ImAppNIO project (bridging theory and practice in nature-inspired optimization). His academic contributions include foundational work on fixed budget analysis, multi-objective optimization, and the role of populations in dynamic optimization problems. Jansen has edited conference proceedings such as the 2015 ACM Conference on Foundations of Genetic Algorithms, further cementing his role in advancing the theoretical underpinnings of evolutionary computation. Key collaborations include work with researchers like Christine Zarges and Per Kristian Lehre, exploring topics like lexicase selection and immunological algorithms. His research has been presented at major conferences like PPSN and EvoCOP, and he actively participates in organizing workshops on randomized optimization algorithms.

Nathan Brayمشاهده پروفایل

مدرس ارشد

• Public Health
• Health Economics
• Disability and Assistive Technology
• +۷ مورد دیگر

Dr Nathan Bray is a Senior Lecturer in Preventative Health and Lecturer in Healthcare Improvement at Bangor University, affiliated with the School of Health Sciences and the College of Medicine & Health. He leads the Academy for Health Equity, Prevention and Wellbeing (AHEPW) and is actively involved in research, grant leadership, and academic service. PhD in Health Economics, Bangor University (2015) MSc in Public Health and Health Promotion, Bangor University (2013) BSc in Psychology, University of Liverpool (2007) Dr Bray's research centers on public health and disability, with a focus on economic evaluation of assistive technologies and mobility aids. His work aims to improve quality of life measurement for people with mobility impairments, particularly through the development of novel instruments like the MobQoL-7D and WATCh tools. He explores how economic methods can inform equitable healthcare decisions and policy. His recent publications span topics such as cost-effectiveness of early powered mobility for children, patient-centered outcome measures in wheelchair services, and health economics of well-being across the life course. These works reflect a strong trend toward developing and validating tools that capture mobility-specific quality of life and evaluating interventions through economic modeling and systematic reviews. Post-doctoral fellowship by Health and Care Research Wales (2016) Dr Bray has contributed to over £7.5 million in grant capture as lead or co-applicant, with funding from NIHR, Horizon 2020, Health and Care Research Wales, and NHS England. He supervises PhD students and has led major projects like EMPoWER and AdaptQoL. He was Associate Editor for the British Journal of Dermatology (2017–2021) and chaired the International Society of Wheelchair Professionals’ committee (2015–2018). He currently serves on the Health and Care Research Wales Social Care PhD Studentship Committee and is College Lead for Sustainability. He leads the development of key research tools including the MobQoL-7D for measuring mobility-related quality of life and the WATCh/WATCh-Ad instruments for assessing outcomes in pediatric and adult wheelchair users. These tools are used in clinical and research settings to ensure patient-centered care and evaluation.

• Geriatrics
• Aging and Longevity
• Epidemiology of Aging
• +۷ مورد دیگر

Karen Andersen-Ranberg is a Clinical Professor at the University of Southern Denmark (SDU), affiliated with the Department of Public Health and the Research Unit of Geriatrics at Odense University Hospital (OUH). She holds a dual role as a Consultant in Geriatrics, combining clinical work (20%) with research (80%). Her academic base is within the Faculty of Health Sciences, where she has been engaged since 2003 in a part-time research associate professor role, progressing to Clinical Professor. She is actively involved in aging research, particularly through the Survey of Health, Ageing and Retirement in Europe (SHARE). MD, University of Copenhagen, 1983 Specialist in Internal and Geriatric Medicine, 1992 PhD, University of Southern Denmark, 2001 – thesis on centenarians Senior Lecturer, University of Southern Denmark, 2000–2002 Research Associate Professor (part-time), 2003–present Her research focuses on the epidemiology of aging, particularly centenarians and the oldest-old , with an emphasis on health trajectories and functional outcomes in European populations. She investigates preventive geriatrics and telehealth interventions to reduce acute hospital admissions among older adults. Her work spans public health, clinical geriatrics, and digital health innovation. Key themes include frailty, care transitions, and health equity in aging. Recent publications highlight trends in hospital readmission among nursing home residents, digital decision support tools for community nurses (e.g., PATINA, GERI-toolbox), and social determinants of health and vaccine uptake in older Europeans. Her research increasingly integrates digital health technologies and intersectoral collaboration to improve elder care outcomes. She is an active member of the European Union of Geriatric Medicine (EUGMS) and has contributed to national and international projects on aging. Her public engagement includes frequent media contributions on elder care policy in Denmark. Karen Andersen-Ranberg supervises PhD students and leads or participates in multiple funded research projects. She has been involved in grant-funded initiatives such as SHARE-DEV3 and the G-UD trial on post-discharge follow-up. Her work emphasizes translating research into practice through feasible, person-centered interventions in primary and long-term care settings. She is involved in several research teams and projects focused on improving elder care, including: PATINA : Developing a decision support algorithm for community nurses to prevent hospital admissions GERI-toolbox : Testing a digital health assessment tool for primary care G-UD Trial : Evaluating cross-sectoral follow-up after geriatric hospital discharge A Meaningful Everyday Life : Adapting person-centered care in nursing homes

• Spectral Graph Theory
• Unsupervised Learning
• Distributed Algorithms
• +۳ مورد دیگر

Luca Zanetti is a Research Fellow at the University of Cambridge , affiliated with the Computer Laboratory and Department of Computer Science and Technology . He works under the supervision of Thomas Sauerwald, following his PhD at the University of Bristol with He Sun. Education PhD in Computer Science, University of Bristol His research focuses on spectral graph theory , unsupervised/semi-supervised learning on graphs , randomised and distributed algorithms , and Markov chains . His work bridges algorithm design, machine learning, and mathematical analysis of graphs. Recent publications explore clustering directed graphs , dynamic graph random walks , distributed graph sparsification , and spectral clustering guarantees . These span theoretical computer science , machine learning , and applied mathematics . He has taught advanced courses at Cambridge, including Probability and Computation (Part II/III/MPhil) and Advanced Topics in Machine Learning . He has served on program committees for SPAA 2020 and IJCAI 2020, and delivered talks at major conferences like ESA, ICALP, and Random Structures & Algorithms.

• Neurosurgery
• Traumatic Brain Injury
• Intracerebral Haemorrhage
• +۷ مورد دیگر

Patrick Mitchell is a Professor of Neurosurgery at Newcastle University and an Honorary Consultant Neurosurgeon with the Newcastle upon Tyne Hospitals NHS Foundation Trust. His career is anchored in clinical neurosurgery, translational research and multi-centre randomised controlled trials, with over 150 peer-reviewed publications spanning more than two decades. Education and Training Details of undergraduate or postgraduate degrees are not explicitly listed in the supplied text; however, his long-standing academic and consultant appointments at Newcastle imply completion of UK higher surgical training and award of MD/PhD-equivalent research credentials. Research Interests Professor Mitchell’s work clusters into four major domains: Cerebrovascular Surgery & Interventions : natural history and treatment of intracranial aneurysms, arteriovenous malformations, and subarachnoid haemorrhage. Traumatic Brain Injury : decompressive craniectomy, intracerebral haemorrhage evacuation, and imaging biomarkers of outcome. Clinical Trials & Evidence-Based Neurosurgery : leadership roles in STICH (Surgical Trial in Intracerebral Haemorrhage), STITCH(Trauma), RESCUEicp, CENTER-TBI and other international RCTs and observational studies. Human Factors & Patient Safety : surgical error analysis, simulation training, and development of national safety curricula. Publication Themes Across 2020–2024 his papers focus on pandemic-related service reconfiguration, novel imaging metrics for haemangioblastomas, conservative management strategies for lumbar disc disease, and comprehensive scoping reviews on idiopathic intracranial hypertension. Earlier work (2010–2019) concentrated on RCT secondary analyses, surgical decision-making algorithms, and meta-analyses of decompressive craniectomy. Awards & Honours While specific honours are not enumerated in the text, sustained leadership of NIHR-HTA and European Union FP7 funded trials (STICH, RESCUEicp, CENTER-TBI) attests to national and international recognition. Grants & Funding National Institute for Health Research (NIHR) Health Technology Assessment Programme – multiple awards for STICH and STITCH(Trauma) trials. European Union FP7 – funding for CENTER-TBI longitudinal observational study. UK Medical Research Council (MRC) – support for imaging sub-studies within traumatic brain injury cohorts. Laboratory & Clinical Teams Professor Mitchell co-directs the Newcastle Neurosurgery Clinical Trials Unit and collaborates with the Regional Neurosciences Centre at the Royal Victoria Infirmary. He mentors neurosurgical trainees and research fellows within the Northern Deanery and is an active member of the Society of British Neurological Surgeons research committee.

• Equality, Diversity, and Inclusion (EDI)
• Social Policy
• Welfare State
• +۶ مورد دیگر

Laura Davies is a Senior Lecturer in Sociology at Leeds Beckett University's School of Humanities and Social Sciences. She serves as Associate Director of the Centre for Applied Social Research (CeASR) and PGR Tutor for CeASR subject groups, while also participating in university-wide Equality, Diversity, and Inclusion (EDI) initiatives through the School EDI Committee. Affiliation: Leeds Beckett University Role: Senior Lecturer, Associate Director (CeASR) Contact: L.A.Davies@leedsbeckett.ac.uk Laura's research examines how policy interventions intersect with service users' lived experiences, particularly focusing on: Fragmented welfare state navigation Policy assumptions vs. user realities EDI implementation in emergency services (Mountain Rescue collaboration) Life-course transitions and care ethics Welfare-to-work dynamics She teaches modules on inequality, class, and the welfare state while supervising dissertation students. Her methodological expertise includes qualitative research, policy evaluation, and secondary data analysis.

Anders Cervinمشاهده پروفایل

استاد

• Chronic sinusitis
• Otitis Media
• Probiotics treatment
• +۶ مورد دیگر

Honorary Professor Anders Cervin holds the Garnett Passe and Rodney Williams Foundation Chair in Otolaryngology at the University of Queensland, where he is affiliated with the UQ Centre for Clinical Research within the Faculty of Health, Medicine and Behavioural Sciences. With over 50 peer-reviewed publications and numerous book chapters, Professor Cervin has established himself as a leading expert in sino-nasal disorders and upper airway research. Professor Cervin's research interests focus on chronic sinusitis , otitis media , and the alternative treatment with probiotics . His work explores mucociliary function in the upper airways, the role of Nitric Oxide in chronic sinusitis, the use of macrolide antibiotics as immune modulators, and health economic perspectives on sino-nasal disease. Recent research has addressed the role of probiotics in airway infection and inflammation, with a particular focus on identifying beneficial bacteria that can interfere with pathogenic bacteria common in chronic sinusitis and recurrent ear disease. Analysis of Professor Cervin's recent publications (2021-2025) reveals a strong focus on microbiome research (particularly probiotics like Lactobacillus), chronic rhinosinusitis , and otitis media . His work spans basic science (in vitro studies of bacterial interactions), clinical trials (probiotic interventions), and epidemiological studies (microbiota across seasons and populations). Notably, his research has increasingly focused on Indigenous health, examining the upper respiratory tract microbiome of Aboriginal and Torres Strait Islander children. Professor Cervin is actively involved in mentoring the next generation of researchers. He currently supervises a Master's student working on "Testing a sinonasal microbiome transplant as a therapy for Chronic Rhinosinusitis by randomised controlled trial" and previously supervised a PhD student who researched "The microbiome of otitis media and development of a probiotic to prevent otitis media in Indigenous Australian children." His research is supported by significant funding, including an NHMRC MRFF grant (2021-2026) for testing sinonasal microbiome transplants and the Garnett Passe and Rodney Williams Memorial Foundation Chair (2017-2027). Professor Cervin's research group focuses on developing novel treatments for chronic upper airway infections that could reduce antibiotic use and combat antibiotic resistance. Their work on identifying "friendly bacteria" that maintain health rather than targeting disease-causing pathogens represents a paradigm shift in treating upper airway infections.

Craig Childsمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Biomechanics
• Rehabilitation Engineering
• +۵ مورد دیگر

Craig Childs is a Senior Lecturer in Biomedical Engineering at the University of Strathclyde , United Kingdom. His research focuses on biomechanics , gait analysis , and assistive technology , with applications in rehabilitation engineering and pedestrian mobility . Research Trends Chronic ankle instability rehabilitation Wearable robotics and gait feedback systems Functional joint modelling for motion analysis Pedestrian safety and shared space accessibility Key Projects Development of the Strathclyde cluster gait model Human-in-the-loop control for ankle-foot robots Portable balance platforms for elderly postural stability PAMELA laboratory for pedestrian environment testing

• Childhood Adversity and Trauma
• Mental Health Prevention
• Substance Use Disorders
• +۳ مورد دیگر

Dr. Lucinda Grummitt is a Research Fellow at the Matilda Centre for Research in Mental Health and Substance Use within the Faculty of Medicine and Health at the University of Sydney. Her research program focuses on childhood adversity and trauma as critical risk factors for mental ill-health and substance use disorders, with particular emphasis on adolescent and young adult populations. She leads large-scale implementation trials of trauma-informed mental health prevention programs in Australian schools and coordinates international research collaborations. Education PhD, University of Sydney (awarded circa 2019, supported by NHMRC CRE PREMISE PhD Scholarship) Bachelor's degree, University of Sydney (Academic Merit Prize, 2013) Graduate studies, Northeastern University, Boston, USA (Dean's List for Academic Achievement, 2014) Research Focus Dr. Grummitt's work integrates epidemiological, clinical, and public health approaches to address childhood adversity's lifelong impacts. She develops trauma-informed, gender-inclusive prevention strategies targeting schools and healthcare settings, with special attention to vulnerable populations including gender and sexuality diverse youth. Her research spans improving childhood adversity monitoring systems, understanding trauma's psychological and social consequences, and creating evidence-based preventive interventions that address structural determinants of health. Publication Impact Her recent publications (2023-2025) reveal a strategic shift toward gender-affirming, trauma-informed mental health prevention with strong methodological diversity. She publishes extensively in top-tier journals including JAMA Psychiatry and The American Journal of Preventive Medicine, with growing emphasis on intersectional approaches that address co-occurring mental health and substance use issues among marginalized youth populations. Her work increasingly incorporates machine learning for risk prediction and mixed-methods designs for program refinement. Scientific Recognition Professor Helen Herrman Award for Social Mental Health (2022) NHMRC PREMISE Travel and Career Development Support Grant (2019, 2020, 2022) The Matilda Centre Award for Research Excellence (2022) SPR Early Career Travel Award (2022) NHMRC Centre of Research Excellence PREMISE PhD Scholarship (2019) Research Leadership Dr. Grummitt has secured over $1.5 million in competitive funding since 2019, including multiple NHMRC grants and international travel awards. She currently manages a large randomised controlled trial of the OurFutures Mental Health program and coordinates Australia's participation in the International Study of Pro/Anti-social behaviour. Her leadership extends to co-chairing the Trauma and Substance Use Special Interest Group at the International Society of Trauma and Stress Studies, where she shapes global research priorities. Collaborative Networks She actively contributes to the Matilda Centre's research ecosystem while maintaining international collaborations with Columbia University and King's College London. Her professional affiliations include the Society for Mental Health Research, Growing Minds Australia, and the International Society of Trauma and Stress Studies, where she bridges clinical research with policy implementation through cross-sector partnerships focused on trauma-informed systems change.