جست‌وجوی استاد و پژوهشگر

Hind Zantoutمشاهده پروفایل

استاد

• Cybersecurity
• Healthcare Technology
• Computer Science Education
• +۴ مورد دیگر

Hind Zantout is a Professor at Heriot-Watt University, serving as Deputy Academic Head of the School of Mathematical and Computer Sciences (Dubai) and Deputy Head of Computer Science. She leads the MSc Data Science program in Dubai and chairs key conferences like the International Conference on Applied CyberSecurity (2023). Her roles include membership in the University’s Studies Committee and external engagements such as Regional Ambassador for Women in Data Science (WiDS) and organizer of Lean and Agile ME Dubai. Her research bridges computing with societal impacts, focusing on cybersecurity, healthcare technology, and AI in education. She has supervised the first two Dubai-based PhD graduates in cybersecurity and currently guides students in healthcare tech and LLM applications. Her work aligns with UN SDGs, emphasizing innovation in education and healthcare. Education Background: Multi-cultural academic journey across British, German, Lebanese, American, and Australian institutions. Key Roles: Conference chair, reviewer for journals like 'Learning and Teaching in Higher Education: Gulf Perspectives', and PC member for multiple BCS ICT conferences. Her publications span malware detection tools, medical imaging AI, and LLMs in education. Awards include the 2017/18 Teaching Excellence Award and a 2025 Best Paper Award for capsule network research. She advocates for women in tech through initiatives like Technovation and WiDS, and her labs focus on interdisciplinary projects like smart healthcare systems and LLM-driven feedback tools.

Panagiotis Kasnesisمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Learning
• Semantic Web Technologies
• +۳ مورد دیگر

Panagiotis Kasnesis is a Senior Research Fellow at the Department of Electrical & Electronics Engineering, University of West Attica. He holds a Ph.D. in Computer Science from NTUA, alongside degrees in Chemical Engineering and Techno-Economic Systems. His research focuses on machine/deep learning, Semantic Web technologies, multiagent systems, and IoT, with over 20 publications in top journals and conferences. He is an NVIDIA DLI-certified instructor in Natural Language Processing and Computer Vision. Education: Ph.D. (Computer Science, NTUA), Diploma in Chemical Engineering (NTUA), M.Sc. in Techno-Economic Systems (NTUA) Research interests span health informatics, wearable devices, and sensor fusion, with projects in biomedical signal analysis and IoT applications. His work includes developing radar-based systems for health monitoring and AR/VR solutions for rehabilitation. He actively participates in EU-funded projects and promotes trustworthiness in social media through initiatives like EUNOMIA. Recent publications emphasize health tech innovations, such as stress detection via PPG signals, UWB radar-based human detection, and multimodal fusion for 3D pose estimation. His contributions also address cultural heritage preservation through VR and crowdsourcing. Grants and collaborations involve European R&D projects in IoT security, emergency response systems, and decentralized social media frameworks. He leads efforts in embodied AR for medical applications and energy-efficient neural networks.

Neil Rowanمشاهده پروفایل

استاد مدعو

• Sustainability
• Sterilization
• OneHealth
• +۶ مورد دیگر

Dr. Neil Rowan is a globally recognized academic and innovator in the Faculty of Science and Health at Technological University of the Shannon (TUS). He holds adjunct and honorary professorships at University of Galway (School of Medicine) and University KwaZulu-Natal (School of Nursing and Public Health). His career spans over 30 years, blending academic leadership with industry collaboration, particularly in medical device innovation, bioscience, and sustainable development. He directs TUS’s Bioscience Research Institute and co-leads projects such as Empower Eco, an EU-funded platform for green innovation. Education & Early Career: He began at Strathclyde University with a Senior Lectureship (top 5* UK Research Assessment). His academic training includes expertise in applied microbiology, biotechnology, and risk mitigation. Research Focus: Dr. Rowan’s work centers on cross-cutting domains like sterilization science, bioeconomy systems, and digital technologies. He pioneers applications of AI in sustainability (e.g., wastewater-to-energy systems) and integrates peatlands into aquaculture for climate resilience. His research aligns with UN SDGs, emphasizing zero-waste, circular economy, and OneHealth principles. Impact & Recognition: Ranked in Stanford’s Top 2% Global Scientists (2023), he advises the European Innovation Council and chairs roles at University Malaya. His work has led to 160+ publications and media recognition for initiatives like the €5M Mount Lucas Bioeconomy Aquaculture Project. Training & Leadership: Mentor to 40+ PhD students and 14 MSc graduates, he emphasizes skill transfer to industry. He evaluates high-risk/high-reward deep tech innovations and leads national strategies like Ireland’s ‘Creating Our Future’ research framework. Labs & Collaborations: Leads CURAM SFI Medical Device Centre and collaborates internationally via projects like MSCA ITN MedTrain. His Empower Eco platform fosters multi-actor innovation for Green Deal initiatives.

• Artificial Intelligence
• Big Data
• Business Intelligence
• +۷ مورد دیگر

CHEN Yi Ting is an Associate Professor of Computer Science in the Department of Operations, Information and Decisions at MBS in France. She holds adjunct professorships at Texas Tech University (USA) and National Cheng Kung University (Taiwan), and collaborates with the Karlsruhe Institute of Technology (Germany). As a co-founder of three AI companies in Asia and Europe, she bridges academia and industry, specializing in AI and IoT applications for operational optimization. Her research interests include smart cities, transportation, energy, telecommunications, and agriculture. Education: BSc, MSc, and PhD in Computer Science from National Chiao Tung University (Taiwan) Research Focus: Leveraging AI and IoT to enhance operational efficiency in sectors like smart cities, energy systems, and agricultural monitoring. Key themes include digital twin technology, predictive analytics, and sustainable business practices. Recent work emphasizes transportation logistics, customer engagement analytics, and econometric risk modeling. Articles Trends: Publications span predictive modeling for travel time, IoT-driven agriculture, and fintech applications. Notable contributions include frameworks for freight logistics optimization and machine learning approaches to energy demand forecasting. Awards: No explicit awards listed in the provided text. Advising & Grants: No student advisees listed. Collaborations include partnerships with industry and academic institutions, though specific grant details are not provided. Labs/Teams: Engaged with cross-disciplinary teams at MBS and partner institutions, focusing on AI-driven solutions for operational challenges.

Nina Boulus-Rødjeمشاهده پروفایل

دانشیار

• Sustainable Digitalization
• Green IT
• Energy Monitoring Technologies
• +۱۲ مورد دیگر

Nina Boulus-Rødje is an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, specializing in sustainable digitalization, socio-technical systems, and ethnographic research across welfare, healthcare, and conflict zones. Her work investigates technology design and implementation through interdisciplinary lenses including Science and Technology Studies (STS) and Human-Computer Interaction (HCI), with emphasis on practical fieldwork in diverse global contexts. Her educational background includes: PhD in Communication, Simon Fraser University (2010) M.Sc. in Informatics (Information Systems), University of Oslo (2004) B.Sc. in Computer Science, Norwegian University of Technology and Science (2001) Research focuses on sustainable digitalization (green IT, energy monitoring), conflict-area innovation (Palestinian tech entrepreneurship), and welfare/healthcare technologies (e-voting systems, Electronic Health Records). Methodologically, she pioneers co-creative ethnography and interventionist research , blending Actor-Network Theory with participatory design to address UN Sustainable Development Goals related to sustainable communities and responsible consumption. Her approach emphasizes reflexive fieldwork in complex settings, from Danish households to occupied Palestine. Recent publications (2022-2025) reveal three dominant trends: (1) Sustainable digitalization through gaming interventions for household energy practices; (2) Hybrid work transformation addressing inherent asymmetries in synchronous collaboration; and (3) Ethnographic explorations of crisis-fieldwork dynamics. These intersect with her long-standing focus on welfare technologies and healthcare systems, demonstrating consistent methodological rigor across domains. Dr. Boulus-Rødje leads and contributes to major research initiatives including the active Green IT-procurement (2024-2028) and Game For Green (2023-2026) projects. She serves on PhD evaluation committees and institutional review boards for Norwegian University of Science and Technology and Stockholm University, while organizing international events like the 2022 EUSSET Summer School on CSCW. Her collaborative network spans 9 research projects with partners across Europe and Canada. She actively shapes research communities through 27 documented activities including conference organization, peer review, and committee memberships, reflecting deep engagement with Computer-Supported Cooperative Work (CSCW) and Information Systems scholarship. Current work explores GenAI's impact on workplace practices and sustainable technology adoption through ongoing projects.

Chen Xuمشاهده پروفایل

مدرس

• Regional Economics
• Industrial Economics
• Digital Economy
• +۵ مورد دیگر

Dr. Chen Xu is a Lecturer in Economics at Swansea University's School of Social Sciences. She holds a PhD in Economics from Cardiff University (2018) and previously worked as a Research Fellow/Associate at Cardiff University and the University of Sussex. Her research focuses on Regional Economics, Industrial Economics, and the digital economy, with emphasis on Wales' economic development, semiconductor clusters, tourism impacts, and ICT policy. She leads the ONS-funded 'Measuring the Digital Economy' project and co-leads the ESRC-funded 'Low Carbon Community' initiative. Education: PhD in Economics, Cardiff University, 2018 Previous roles: Research Fellow (Sussex University), Research Associate (Cardiff University) Research Interests: Dr. Xu’s work spans regional development strategies, semiconductor industry innovation, tourism economics, and digital economy measurement. She has contributed to major projects like the £1.5m ERDF Superfast Broadband initiative and the £43m UKRI CSConnected semiconductor project. Her methods include CGE modeling and analysis of HMRC/ONS datasets. Grants & Collaborations: Principal Investigator: ONS-funded ICT Satellite Account pilot for Wales (digital economy measurement) Co-Investigator: ESRC-funded Low Carbon Community project Co-author on UKRI and EU-funded semiconductor/ICT studies Public Engagement: Engages with local businesses, ONS, and Welsh economic institutions. Active in presenting at international conferences like the UNWTO Tourism Statistics Conference and the City REDI seminar series.

• Computer Science
• Human-Computer Interaction
• Virtual Reality
• +۴ مورد دیگر

Efe Bozkir is a researcher affiliated with the University of Tübingen, Germany. His work focuses on advancing virtual reality (VR) and augmented reality (XR) technologies through eye tracking, privacy-preserving data techniques, and integrating large language models (LLMs) into immersive systems. He explores human-computer interaction challenges, particularly in educational settings and ethical AI applications. Research interests include: privacy in eye-tracking data, generative AI for synthetic media analysis, and optimizing federated learning algorithms. He has co-authored over 50 publications in top-tier venues such as CHI, VR, and ACM Transactions on Applied Perception. Recent articles highlight innovations like CUIfy (an LLM integration toolkit for XR), privacy benchmarks for iris obfuscation, and AI-driven video assistants for active learning. His work consistently bridges technical advancements with societal implications, addressing GDPR compliance in metaverse environments and ethical AI use in education. Bozkir collaborates closely with interdisciplinary teams, including Enkelejda Kasneci (co-author in 49 works) and Süleyman Özdel. His PhD (2022) laid groundwork for 'Everyday Virtual Reality through Eye Tracking.' Though no formal awards are listed, his prolific publication record reflects significant contributions to XR research.

• Architecture
• Sustainable Development
• Urban Planning
• +۳ مورد دیگر

Saija Hollmen is a Professor of Practice and University Lecturer in the Department of Architecture at Aalto University, affiliated with the School of Arts, Design and Architecture. She holds a Doctor of Science in Architecture (2020, Aalto University) and a Master's degree in Architecture (1999, Helsinki University of Arts and Design). Her work aligns with UN Sustainable Development Goals, particularly focusing on sustainable urban development, cultural design, and global challenges. Research interests include architecture, sustainable development, urban planning, and cultural studies. Notable projects include the Kumasi Trees initiative addressing Sub-Saharan urban greenery and the 100 Women Architects exhibition promoting gender equity in design. She leads the EU-funded REDI project on doctoral innovation and the SUMEA initiative on sustainable building materials in Africa. Hollmen has received awards such as the Architecture of Necessity Award (2022), Barbara Cappochin Prize (2017), and the Bauwelt Prize (2003). She actively engages in global academic activities, including invited talks on sustainability transitions and chairs conferences like Arkkitehtipäivät . Media highlights include features in international outlets discussing her contributions to global south urban planning and women in architecture.

Paul Youngمشاهده پروفایل

استاد

• Commercialization
• Entrepreneurship
• Pharmaceutical Sciences
• +۴ مورد دیگر

Paul Young is a Professor of Commercialisation at Macquarie Business School and Professor of Respiratory Technology at the Woolcock Medical Research Institute, the globally leading institute for respiratory and sleep disease research. He specializes in commercialization, entrepreneurship, pharmaceutical innovation, and MedTech business creation. With over 25 years in academia and pharmaceutical sectors, he holds leadership roles in multidisciplinary programs like Sydney SPARK and Biodesign.Sydney, fostering medical device and therapeutic innovations. Education: PhD in Pharmaceutics, University of Bath (2021) BSc (Hons) in Chemistry, University of the West of England (1996) Research Focus: Paul’s work centers on aerosol chemistry, drug delivery systems (e.g., dry powder inhalers), and translational research in pharmaceuticals. He explores sustainable manufacturing techniques like 3D printing for drug devices and investigates therapies for lung cancer, cystic fibrosis, and neurodegenerative disorders using inhalation-based delivery. His research bridges academic discovery and commercial applications, emphasizing nanoparticle technology and clinical translation. Key Projects (2019–2025): Targeting Cystic Fibrosis Using a Novel Inhalation Therapy (2021–2022) Unravelling the Mechanisms of Aerosolised Toxins (2020–2022) Engineering Better Sprays for Leaf Coating (2019–2022) Leadership & Industry: As CEO of Ab Initio Pharma, he leads pharmaceutical R&D. He chairs the Inaugural Commercialization role at the University of Sydney and serves on boards of companies like Nanopharm UK and Pivot Innovations. His efforts have spawned spin-off companies and major pharma licensing deals. Labs & Teams: Collaborates with cross-disciplinary teams at Woolcock Institute and Sydney’s medical innovation programs to advance therapeutic development and commercialization strategies.

Ghasem Azemiمشاهده پروفایل

پژوهشگر

• Biomedical Signal Processing
• Neuroimaging
• Brain Function Analysis
• +۵ مورد دیگر

Ghasem Azemi is a Researcher with dual affiliations at Macquarie University: as a Research Associate at the Computational NeuroSurgery Lab in the School of Medicine and as an Honorary Associate Professor in the School of Psychology. He holds a PhD in signal processing from Queensland University of Technology (QUT) and was previously an Associate Professor at Razi University, Iran, and a Research Fellow at The University of Queensland's Centre for Clinical Research. His work bridges biomedical signal processing, neuroimaging, and brain function analysis, with a focus on applications in oncology and neurological disorders. Education: PhD in Signal Processing, Queensland University of Technology (QUT) Associate Professor (prior position), Razi University, Iran Research Fellowship at The University of Queensland Research Interests: Azemi's research spans neuroimaging techniques (e.g., MRI, PET, EEG), computational models for tumor diagnosis, and AI-driven medical image analysis. His projects include developing algorithms for automated segmentation of paranasal sinus scans, predicting tumor fluorescence via deep learning, and radiomic analysis of brain tumors. He also explores functional connectivity in newborn EEG and phase synchrony in neurological signals. Collaborations: He leads the Computational NeuroSurgery Lab and collaborates on initiatives like the Quantum Magnetoencephalography (MEG) scanner development. His work integrates interdisciplinary approaches to advance neurosurgical and oncological diagnostics. Grants & Projects: "Critical Tech Challenge: Quantum MEG Scanner Design" (2025) "Computational Neurosurgery Lab" (ongoing since 2019)

Krishnan Anandمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Economics of Information Systems
• +۴ مورد دیگر

Krishnan Anand is a David Eccles Professor and Faculty Fellow in the Department of Operations and Information Systems at the University of Utah’s David Eccles School of Business. He holds tenure and has a distinguished academic career, previously teaching at Wharton and Kellogg. With a B.Tech from IIT Madras, an M.S. from the University of Rochester, and a Ph.D. from Stanford University, Anand specializes in Operations/Supply Chain Management and the economics of Information Systems. His research focuses on ethics, sustainability, supply chain contracts, and the interplay of inventories, information, and incentives. He has received multiple teaching awards, including the Brady Superior Teaching Award and the Daniels Fund Leadership in Ethics Education Award, and pioneered the Global Supply Chain Management course for undergraduates and MBAs. Anand’s research has been recognized with prestigious awards, including the Management Science Best Paper Award (2010–2012) and a best paper award at the Conference on Information Systems and Technology (2016). His work bridges theoretical rigor with practical insights, addressing challenges in IT outsourcing ethics, sustainable operations, and supply chain dynamics. He has delivered invited talks at major business schools and conferences, emphasizing both academic and practitioner audiences. Professionally, Anand transitioned from software entrepreneurship to academia, bringing industry perspectives to his teaching and research. His current roles include advising doctoral students and consulting on academic projects. His publications span topics from AI-driven agriculture systems to cybersecurity and predictive maintenance, reflecting his interdisciplinary approach to solving real-world operational and technological challenges.

Edward Smartمشاهده پروفایل

پژوهشگر ارشد

• Data Analysis
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

Dr Edward Smart is a Principal Research Fellow at the University of Portsmouth, affiliated with the Faculty of Technology and School of Electrical and Mechanical Engineering. He is also part of the Centre of Excellence in Defence, Risk & Resilience, Portsmouth AI and Data Science Centre, and the Centre for Operational Research & Logistics. He holds a PhD from the University of Portsmouth (2011) and an MMath from the University of Reading (2005). Education: PhD in Engineering, University of Portsmouth, 2011 MMath in Mathematics, University of Reading, 2005 Research Interests: Dr Smart focuses on learning algorithms for detecting rare or abnormal events in industrial data, particularly in manufacturing, computing, agri-tech, and transport sectors. His work emphasizes anomaly detection, condition-based monitoring, and predictive maintenance, with applications in maritime, railway, aerospace, and high-performance computing industries. He has secured over £6.8M in grants from Innovate UK, STFC, and DASA, collaborating with institutions like Southampton, Nottingham, UCLAN, and Brunel. Grants & Collaborations: Lead or co-investigator on 20+ grants totaling £6.8M (over £3.4M for Portsmouth) Collaborations with industry partners in maritime, railway, aerospace, and agri-tech sectors Labs & Teams: Active in the Centre for Operational Research & Logistics and the Food Cultures in Transition research cluster. He contributes to researcher development through the Researcher Concordat implementation and previously chaired the Researchers' Network.

Olli Kuparinenمشاهده پروفایل

پژوهشگر

• Dialectology
• Computational Linguistics
• Phonetics
• +۳ مورد دیگر

Olli Kuparinen is a Researcher at the University of Tampere , focusing on dialectology , computational linguistics , and speech recognition technology . His current Academy of Finland-funded project (2025-2030) aims to develop phoneme-based models that convert dialectal speech into text without erasing regional variations. Academic Path : Began with Finnish language studies at the University of Tampere, followed by teaching Finnish language/literature, then doctoral research (Kone Foundation-funded) on Helsinki spoken language changes (1970s-2010s). Previous Work : Spent 2 years at the University of Helsinki's Language Technology Department studying machine translation models. Key Contributions : Created datasets like Murreviikko (dialectal tweets), advanced phoneme-character mapping for Finno-Ugric scripts, and explored historical changes in Helsinki's spoken Finnish (e.g., hd-cluster diffusion ). Research Interests : Bridging traditional dialect studies with AI/ML, preserving linguistic diversity in speech recognition, and analyzing long-term language variation through computational models. Recent Publications focus on automatic dialect transcription, normalization techniques, corpus-based dialectometry, and social media as a source for dialectal analysis. His work emphasizes inclusivity in AI by addressing underrepresented dialects. Scientific Awards : No specific awards listed beyond Academy of Finland funding. Future Directions include improving equity in speech tech by incorporating Finno-Ugric IPA translations, expanding to Norwegian dialects, and advocating for linguist involvement in AI model development.

Insu Songمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Medical Informatics
• Educational Technology
• +۵ مورد دیگر

Dr. Insu Song is a Senior Lecturer in the Department of Information Technology at James Cook University (Singapore campus). He holds a PhD in Computer Science from The University of Queensland and has over 30 years of industry experience in AI, machine learning, and embedded systems. His research focuses on AI applications in medical diagnosis, educational technology, and biometric security. Education: PhD in Computer Science (University of Queensland), BInfoTech (1st Class Honors), BSc in Physics. Research Interests: Development of AI models for medical diagnostics (mental health, respiratory, and gastrointestinal health), AI-driven educational games, behavioral biometrics for fraud detection, and sustainable farming through AI. He pioneered over 1,500 learning contents and 1 million AI-generated educational games. Grants & Awards: Recipient of a prestigious grant from the Bill & Melinda Gates Foundation (2011) for 'Early Child Health Intervention Using Breathing Sound.' Notable awards include Best Research of the year (2014), Best Academic of the year (2015), and finalist in The Australian Innovation Challenge (2013). Collaborations: Works with NGOs like Yamakindo and PUPA Center, the Indonesian government’s aquaculture office, and Chimera Flux for medical robotics. Serves on the PRICAI committee since 2017. Key Projects: Includes 'Early Child Health Intervention Using Breathing Sound' (2011–2012), 'Efficient Charging Method for Bicycle Generators' (2018–2020), and AI models for fish farming cost reduction.

Hergen Eilersمشاهده پروفایل

استاد پژوهشی

• Optical Properties of Materials
• Nanophase Materials
• Laser Spectroscopy
• +۷ مورد دیگر

Hergen Eilers is a Research Professor and Associate Director at the Institute for Shock Physics, Washington State University, with an adjunct appointment in the Department of Physics and Astronomy. His work bridges fundamental material science and practical applications in extreme environments. Research Interests: Dr. Eilers specializes in the optical properties of materials, particularly nanophase ceramics and thin films. His research leverages advanced laser techniques to investigate material structure and dynamics, with a strong emphasis on developing novel sensors. Key application areas include national security—such as nuclear radiation detection, temperature sensing under extreme conditions, and detection of Improvised Explosive Devices (IEDs). His work on nanophase yttria and rare-earth-doped materials supports the development of IR-transparent ceramics for airborne directed energy systems. Publication Trends: His recent publications (2006–2010) focus on the synthesis, characterization, and optical behavior of nanophase materials, especially yttria and ZnS:Mn. The research consistently explores how nanostructuring and doping affect luminescence, transmittance, and material hardness, aiming to enhance performance in photonic and sensing applications. Education: Ph.D. in Physics, University of Hamburg, Germany (1993) M.S. in Physics, University of Oldenburg, Germany (1990) B.S. in Physics, University of Göttingen, Germany (1987) M.B.A., Golden Gate University, USA (2000) Professional Background: After a postdoctoral position at Virginia Tech, Dr. Eilers founded Quantum Vision, Inc., and later worked at Gemfire Corp. in optical telecom. He founded NovaCera with SBIR funding, focusing on nanophase materials for defense applications, before joining Washington State University in 2004. His career uniquely combines deep scientific expertise with entrepreneurial experience in technology commercialization. Facilities and Affiliations: He is associated with the Dynamic Compression Sector at the Advanced Photon Source (APS), where high-pressure and dynamic compression experiments are conducted. His lab utilizes laser shock techniques and optical characterization tools to study materials under extreme conditions.