جست‌وجوی استاد و پژوهشگر

Birgül Arslanoğluمشاهده پروفایل

پژوهشگر

• Urban Planning
• Sports Facilities
• Data Analysis
• +۵ مورد دیگر

Birgül Arslanoğlu is a Researcher at the Department of Sociology, Istanbul Technical University. Her research focuses on urban planning, sports facility management, data analysis, and maritime safety, with applications in complexity theory and public policy. Key research areas include optimizing sports facilities in urban areas using metric entropy, predicting seafarer safety through machine learning, and evaluating physical fitness parameters for firefighters and youth athletes. She has published in interdisciplinary journals, integrating spatial information systems and public demand analysis into urban development strategies. No academic awards or grants are explicitly mentioned in the provided texts. She has not listed advisees or lab affiliations in the data provided.

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Hannes Kaufmann is an academic researcher specializing in Virtual Reality (VR), Augmented Reality (AR), and Human-Computer Interaction. His work focuses on haptic interfaces, immersive analytics, and accessibility in virtual environments. Kaufmann has collaborated extensively with researchers across multiple disciplines, including robotics, sports science, and architecture. His research spans technical innovations such as shape-shifting haptic devices, AR navigation systems for visually impaired users, and predictive locomotion models for VR. He has also explored applications in industrial design through frameworks like BIMFlexi-VR and contributed to healthcare through brain-computer interface integration in robotics. Notable projects include the development of the Shiftly origami haptic device and the GeoCROW geospatial visualization system. His work emphasizes user-centric design, accessibility, and cross-disciplinary collaboration in immersive technologies.

• Artificial Intelligence Economics
• Behavioral Economics
• Empirical Finance
• +۲ مورد دیگر

Jeremy Nguyen is a Senior Lecturer in Economics at Swinburne University of Technology's School of Business, Law and Entrepreneurship. He researches economic impacts of AI/machine learning with focus on bias, discrimination mitigation, and creative industries. Education: Ph.D. in Computable General Equilibrium Modeling from Australian National University Current projects examine AI's effects on business processes, writing practices, and education through randomized controlled trials. Work has been featured in New York Times, The Guardian, and Forbes. Professional background includes Reserve Bank of Australia and Brookings Institution fellowship. Awards: National teaching awards for educational innovation Publications recognized through early career research prizes Recent publications analyze anchoring bias in LLMs, NFT market discrimination, and economic impacts of diversity in creative industries. His interdisciplinary approach integrates economic modeling with behavioral experiments and machine learning techniques.

• Data-intensive astrophysics
• Astronomical sciences
• Space sciences
• +۷ مورد دیگر

Sarah Hegarty is a Data Scientist affiliated with the School of Business, Law and Entrepreneurship at Swinburne University of Technology , where she contributes to data analysis, software development, and research projects. Since 2017, she has been part of the Economics of Innovation research group , specializing in data-intensive astrophysics , economic databases , and data-driven agricultural economics .

Wasim Ahmedمشاهده پروفایل

مدرس ارشد

• Data-Driven Marketing
• Marketing Analytics
• Health Informatics
• +۳ مورد دیگر

Dr. Wasim Ahmed is a Senior Lecturer in Marketing at the University of Hull's Hull University Business School. His research focuses on data-driven marketing, AI applications in business, health information sharing, and social media impacts on sports and politics. He holds a PhD, MSc, and BA from the University of Sheffield and has worked at several UK universities. Dr. Ahmed has authored over 40 peer-reviewed articles, including impactful studies on health misinformation during the pandemic and social media's role in sports. Education: PhD, MSc, BA (Hons) in Marketing from the University of Sheffield; Certificate in AI and Machine Learning (University of Oxford). Research Interests: AI-driven marketing optimization, disinformation networks, social media ethics, and interdisciplinary studies in public health and sustainability. His work has been featured in journals like Journal of Medical Internet Research and European Journal of Operational Research . Media & Outreach: Over 100 invited talks for organizations like WHO, BBC, and CERN. Media appearances include BBC World News, SABC, and Discovery+ documentaries. He advises on social media research for the Financial Conduct Authority. Grants & Projects: Secured funding for PhD supervision and led projects such as the HIKE Innovation Sandpit (organ donation strategies). Served as an external PhD examiner at multiple institutions. Labs & Teams: Engaged with the Marketing Management and Business Strategy group at Hull. Collaborates on interdisciplinary projects like the Think Forward Initiative (nudging financial behavior).

Noah Giftمشاهده پروفایل

مدرس

• Machine Learning
• Cloud Computing
• DevOps
• +۷ مورد دیگر

Noah Gift is a Lecturer at UC Davis Graduate School of Management in the MSBA program, with additional affiliations at Duke MIDS, Northwestern MSDS, UC Berkeley MIDS, UNC Charlotte Data Science Initiative, and University of Tennessee. He specializes in graduate-level instruction in Machine Learning, MLOps, Cloud Computing, and Data Science. Executive in Residence, Duke MIDS (Data Science) Lecturer, UC Davis Graduate School of Management Adjunct faculty, Northwestern and UC Berkeley Gift's research and teaching focus on practical applications of machine learning and cloud technologies. His work bridges academic theory with industry practice, emphasizing cloud-native solutions, DevOps automation, and production-first AI systems. Recent publications and courses highlight his expertise in multi-cloud certification, data engineering, and scalable machine learning architectures. His publications trend toward cloud-based AI/ML systems (35%), DevOps automation (30%), and data science pedagogy (25%). Key subfields include MLOps, serverless computing, Python automation, and enterprise cloud adoption strategies. Awards: AWS Machine Learning Hero Certifications: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, Google Certified Cloud Architect As founder of Pragmatic AI Labs, Gift consults on machine learning and cloud architecture while leading global workshops and certification programs. He has delivered technical training at NASA, PayPal, and O'Reilly conferences, with extensive industry experience at companies like Disney, Sony, and AWS.

Gayla Olbrichtمشاهده پروفایل

استاد

• Statistical Modeling of Genomic Data
• Epigenomic Analysis
• Biomedical Data Science
• +۳ مورد دیگر

Dr. Gayla Olbricht is a Professor of Statistics and Associate Chair in the Department of Mathematics and Statistics at Missouri University of Science and Technology. She holds a Ph.D. in Statistics from Purdue University (2010), an M.S. in Applied Statistics (2004), and a B.S. in Mathematics (2001) from Missouri State University. Her research focuses on statistical modeling of genomic, epigenomic, and biomedical data, with emphasis on explainable unsupervised learning methods. Key projects include lifespan modeling in Drosophila, traumatic brain injury biomarker analysis, and educational data science. Dr. Olbricht has received multiple awards, including the 2022 Missouri S&T Woman of the Year Award and the 2021 CASB Research Award. She has been a Co-Principal Investigator for SEQL (Science Education and Quantitative Literacy), a professional development program for K-12 educators funded by the Missouri Department of Higher Education (2014-2018). Her work has been supported by NIH and the Leonard Wood Institute. Her recent publications span statistical methodologies for genomic data, TBI biomarker analysis, and educational interventions. She has held leadership roles including Interim Director of Graduate Studies (2023) and has contributed to over 50 peer-reviewed articles. Teaching excellence is evident through her three Outstanding Teaching Awards at Missouri S&T.

Alan Godfreyمشاهده پروفایل

دانشیار

• Wearable Technology
• Healthcare Technology
• Sports Technology
• +۷ مورد دیگر

Dr. Alan Godfrey is an Associate Professor in the Computer and Information Sciences Department at Northumbria University, leading the Digital Health & Wellbeing research group. He serves as Deputy Editor for npj/Nature Digital Medicine and Editor for Maturitas, with editorial roles in multiple journals. His expertise spans wearable technology, AI, machine learning, and biomedical signal processing in healthcare and sports. He holds a BEng and PhD in Biomedical Electronics from the University of Limerick and an MBA from Newcastle University. Education: PhD in Bioinformatics, University of Limerick (2005-2008) MBA, Newcastle University (2016-2017) BEng in Electronic Engineering, University of Limerick (2000-2004) Research Interests: Wearable systems, connected health, AI-driven analytics, sports technology, and neurological disorder biomarkers. Awards: Fellow of the Higher Education Academy (FHEA), Senior Member of IEEE (SMIEEE), Member of IET (MIET). His research focuses on translating wearable technology into clinical applications, including gait rehabilitation, fall risk assessment, and digital biomarkers for Parkinson's disease. He leads projects like the Northern Health Futures Hub and collaborates internationally. Over 100 publications emphasize interdisciplinary approaches to healthcare challenges.

Rosie Morrisمشاهده پروفایل

دانشیار

• Mobility and Gait Analysis
• Neurological Disorders (e.g., Parkinson’s, Dementia)
• Cognitive Decline
• +۳ مورد دیگر

Rosie Morris is an Associate Professor at Northumbria University's Sport Exercise and Rehabilitation Department. She holds an NIHR Advanced Fellowship, focusing on the interplay between mobility (gait, balance, falls) and cognition in older adults and neurological conditions like Parkinson’s and dementia. Her work emphasizes digital technologies for clinical assessment and rehabilitation. She completed her PhD on gait as a predictor of cognitive decline in Parkinson’s at Newcastle University, followed by postdoctoral training in vagus nerve stimulation research and NIH-funded studies on genotype influences in Parkinson’s. Education: PhD (Neurosciences, Newcastle University, 2017), MSc Physiotherapy (Northumbria University, 2013), BSc Neuroscience (University of Leeds, 2010). Research interests include developing digital tools for gait analysis, visuo-cognitive interventions, and improving clinical rehabilitation for neurological disorders. Notable work includes the KOKU rehabilitation program for Parkinson’s and studies on ocular microtremor as a biomarker. Her recent articles highlight AI-driven gait assessment, IoT applications in rehabilitation, and mobile health interventions. Awards include the NIHR Advanced Fellowship supporting her independent research into turning rehabilitation in Parkinson’s. Supervision and Grants: Actively supervising PhD students and leading funded projects like the NIHR Fellowship. Her work integrates technology with clinical practice to enhance patient outcomes. Labs/Teams: Collaborates with interdisciplinary teams on projects like MoBI (Mobile Brain/Body Imaging), iFall (falls reporting app), and the Pacific-UDALL study.

Udo Feuerhakeمشاهده پروفایل

پژوهشگر

• Spatio-temporal Data Analysis
• Geoinformatics
• Urban Digital Twin
• +۵ مورد دیگر

Dr.-Ing. Udo Feuerhake is a Researcher at the Institute of Cartography and Geoinformatics (IKG) within the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover. His work focuses on spatio-temporal data analysis, urban digital twins, and transportation engineering. He holds a M.Sc. in Computergestützte Ingenieurwissenschaften from Leibniz University Hannover (2010) and has been with IKG since 2011. Research interests include voxel-based urban modeling, trajectory analysis, and mobility patterns. Notable projects involve integrating 3D geodata for urban digital twins, smartphone-based vehicle detection, and developing interactive web applications for spatial visualization. He collaborates on projects like the USEfUL logistics tool and contributes to traffic analytics dashboards (TA-Dash). Feuerhake leads and co-leads multiple theses, including work on 3D navigation path planning, parking occupancy visualization, and AR/MR applications. His research emphasizes real-world applications in smart cities, emergency response systems, and sustainable urban logistics. Key Projects: Urban Digital Twin development, smartphone sensor platforms, trajectory pattern mining Teaching: Involved in thesis supervision and module development for spatial analysis and visualization Awards: None explicitly mentioned

• Data Visualization
• Scientific Visualization
• Computer Graphics
• +۶ مورد دیگر

João Luiz Dihl Comba is a Professor at the Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. With a PhD in Computer Science from Stanford University (1993-2000) under advisor Leonidas J. Guibas, he has established himself as a leading researcher in visualization and computer graphics. His academic journey includes a M.Sc. in Systems Engineering and Computing from UFRJ (1988-1991) and a B.Sc. in Computer Science from UFRGS (1983-1987), along with a sabbatical at the University of Utah (2010-2011). Comba's research focuses on data and scientific visualization, visual analytics, computer graphics, and their applications in medical imaging, sports analytics, and pandemic response. His work bridges theoretical advances in multidimensional projections with practical applications in healthcare, oil and gas, and digital twins. Recent publications demonstrate his continued leadership in applying machine learning techniques to visualization problems, particularly in biomedical contexts. His publication record spans over three decades with consistent output through 2025, showing evolution from foundational computer graphics work to contemporary applications of AI in visualization. The publications reveal strong collaborations with researchers across Brazil and internationally, with particular emphasis on solving real-world problems through visual analytics. As an advisor, Comba has mentored numerous graduate students who have become active researchers in visualization and computer graphics, with several continuing to collaborate with him on publications. His research group at UFRGS appears to be particularly strong in medical visualization applications, as evidenced by multiple recent publications related to COVID-19 analysis and medical image processing.

Iain McMenaminمشاهده پروفایل

استاد

• Comparative Politics
• Political Economy
• Business and Politics
• +۳ مورد دیگر

Prof. Iain McMenamin serves as Professor of Comparative Politics in the School of Law and Government at Dublin City University. His academic career spans three decades with research focusing on political economy, business-politics relations, political communication, and East-Central European politics. Beyond his core faculty role, he has held visiting fellowships at European University Institute and Australian National University, and served as Head of School from 2018-2021. PhD supervision available in: Comparative Politics, Political Economy, Political Communication Teaching areas: Comparative politics, European studies, research methods at all academic levels Academic background includes studies at: University College Dublin, Nuffield College (Oxford), London School of Economics Research Focus: McMenamin's work systematically examines how financial resources influence political processes through extensive analysis of party financing systems, corporate political donations, and media framing of elections. His publications span topics including: Corruption and business financing of political parties Political communication dynamics in crisis contexts Comparative analysis of capitalist democracies Democratic institutional performance Key Publications: If Money Talks, What Does It Say? (Oxford UP, 2013) - Winner of Brian Farrell Prize Resilient Reporting (Manchester UP, 2019) - Co-authored multi-decade analysis of Irish election coverage Over 30 peer-reviewed articles in leading journals including World Politics, European Journal of Political Research, and New Political Economy Awards & Recognition: Brian Farrell Prize for best political science book (2013) DCU President's Award for Outstanding Research Academic Contributions: He has developed analytical frameworks for understanding business-political party relationships and institutional performance in democracies. His work connects market behaviors with political outcomes across multiple countries, including Ireland, Australia, Germany, and Italy. McMenamin also contributes to academic methodology through publications on literature reviews and research design.

Alptekin Temizelمشاهده پروفایل

استاد

• Computer Vision
• Deep Learning
• GPU Computing
• +۳ مورد دیگر

Dr. Alptekin Temizel is a Full Professor at the Graduate School of Informatics, Middle East Technical University (METU), Ankara, Turkey. He leads the METU Deep Learning and Computer Vision Lab (DLCV) and the GPU Research and Education Center. His research focuses on computer vision, deep learning, GPU computing, and medical image analysis. He holds a B.Sc. in Electrical and Electronic Engineering from METU (1999) and a Ph.D. in Computer Vision from the University of Surrey, UK (2006). Affiliations: Executive Board Member, Neuroscience and Neurotechnology Center of Excellence Executive Board Member, METU Center for Image Analysis (OGAM) DLI Certified Instructor and DLI University Ambassador (NVIDIA) Education: B.Sc.: Electrical and Electronic Engineering, METU, Turkey (1999) Ph.D.: Center for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK (2006) Research Interests: Deep Learning & Computer Vision Applications Medical Image Analysis & Healthcare AI Adversarial Machine Learning & Model Security GPU Parallel Computing & System Optimization Federated Learning in Medical Imaging Recent Achievements: 3rd place in Federated Brain Tumor Segmentation (FeTS) Challenge at MICCAI 2021 Developed SAHI package (2M+ downloads) LIMUC dataset for Ulcerative Colitis endoscopy Teaching: MMI 727: Deep Learning: Methods & Applications MMI 713: Applied Parallel Programming on GPU DI 725: Transformers and Attention-Based Deep Networks MMI 712: Machine Learning Systems Design & Deployment

Claire Clelandمشاهده پروفایل

پژوهشگر ارشد

• Public Health
• Urban Environment
• Active Ageing
• +۴ مورد دیگر

Claire Cleland is a Research Fellow and Visiting Scholar at Queen's University Belfast's School of Medicine, Dentistry and Biomedical Sciences, affiliated with the Centre for Public Health. She holds a BSc (Hons) Human Nutrition from the University of Ulster, an IOC Dip Sports Nutrition, and a PhD in Public Health from Queen's University. Her research focuses on aging, physical activity, and urban environments, with emphasis on healthy active aging and systems science approaches to public health interventions. Key roles include leading the GroundsWell Consortium and co-investigating the SPACE Project, which explores urban environments' impacts on cognitive health and physical activity. She has contributed to projects like HULAP (UK-Brazil collaboration), 20mph speed limit evaluations, and car dependency reduction initiatives. Teaching spans public health, nutrition, and research methods at undergraduate and postgraduate levels. Education: BSc Human Nutrition (University of Ulster), IOC Dip Sports Nutrition, PhD Public Health (Queen's) Research: Urban green/blue spaces, active aging, built environment interventions, NCD prevention Grant Projects: GroundsWell, SPACE, HULAP, 20mph Evaluation Her work addresses UN SDGs 3 (Good Health), 11 (Sustainable Cities), and 10 (Reduced Inequalities). Awards include the 2016 Early Career Researcher Award (Commended). She actively collaborates with institutions like Newcastle University, Washington University, and the MRC in Glasgow.

• Epidemiological Modelling
• Infectious Disease Dynamics
• Game Theory
• +۳ مورد دیگر

Dr. Anthony O'Hare is a Senior Lecturer in Mathematics at the University of Stirling since March 2013. His research focuses on epidemiological modeling, infectious disease dynamics, and game theory. He holds a PhD in Physics from the University of Loughborough and has prior experience in computational physics, veterinary epidemiology, and financial risk management. O'Hare is the developer of the Broadwick framework for computational epidemiology and has contributed to studies on bovine tuberculosis, sea lice resistance, and social media surveillance in livestock farming. Education: BSc Physics, Mathematics, and Mathematical Physics (University College Cork, 1994) Postgraduate Diploma in Computational Physics (1995) MSc Computational Physics (University of Salford, 1996) PhD in Physics (University of Loughborough, 2007) Research Interests: Epidemiological modeling, spatial disease dynamics, game theory applications in farming systems, computational physics, and phylodynamics. Professional Memberships: Institute of Physics, Edinburgh Mathematical Society. His recent work examines the role of social media in disease surveillance, treatment resistance in pathogens, and the integration of genomic data into disease models. He has presented widely on topics such as zero in mathematics, the history of epidemiological modeling, and the intersection of mathematics and animal behavior. Labs/Teams: Biological Modelling Group, Computational Mathematics and Optimisation Research Group.