جست‌وجوی استاد و پژوهشگر

• Data Science
• Statistics
• Machine Learning
• +۷ مورد دیگر

David S. Matteson is a Professor and Associate Department Chair in the Department of Statistics and Data Science at Cornell University. He holds affiliations with the Bowers College of Computing and Information Science, the ILR School, the Center for Applied Mathematics, and the Program in Financial Engineering. His research focuses on developing statistical and machine learning methodologies for complex systems, with applications in finance, environmental science, healthcare, and nanotechnology. He received his PhD in Statistics from the University of Chicago and a BSB in Finance, Mathematics, and Statistics from the University of Minnesota. His awards include the NSF CAREER Award (2015), SUNY Chancellor’s Award (2022), and Fellowships from the Institute of Mathematical Statistics and American Statistical Association (2024). Research interests span theoretical methods like changepoint analysis, high-dimensional time series, and functional data, alongside applied domains such as systemic risk, climate change, and medical imaging. He leads major NSF-funded initiatives including the PRISM Institute for Trans-domain Systemic Risk and the TRIPODS Greater Data Science Cooperative Institute (GDSC). Editorial Roles: Founding Editor-in-Chief of Data Science in Science , Associate Editor for Journal of Econometrics , and former editor for multiple statistical journals. Leadership: Chair of the ASA’s Business and Economic Statistics Section (2024), Director of the National Institute of Statistical Sciences (NISS). Grants: PI/Co-PI on NSF and USAID projects addressing systemic risk, energy systems, and poverty estimation.

Harald Van Heerdeمشاهده پروفایل

استاد پژوهشی

• Marketing Management
• Branding and Brand Equity
• Econometrics
• +۸ مورد دیگر

Harald Van Heerde is a Research Professor of Marketing at the University of New South Wales, Sydney, within the UNSW Business School's Department of Marketing. He holds roles as Editor of the Journal of Marketing and Executive Vice-Chairman/Program Director of the Marketing Science Hub at AiMark. His academic career includes positions at Maastricht University, the University of Waikato, Tilburg University, and Massey University. Education: Ph.D. in Economics (Cum Laude), University of Groningen, the Netherlands (1999) M.Sc. in Econometrics (Cum Laude), University of Groningen, the Netherlands (1995) Research Interests: Harald focuses on applying econometric models and large datasets to address critical marketing challenges. His work explores marketing mix effectiveness , brand equity , digital marketing strategies , consumer behavior in crises , and cross-industry applications such as retailing, healthcare, and entertainment. Methodologically, he emphasizes dynamic models, endogeneity correction, optimization techniques, and text mining. Articles Trends: Recent publications highlight analysis of inflation's impact on consumer spending , mobile app engagement , brand recovery post-crisis , and econometric frameworks in marketing decision-making. His work bridges theoretical advancements with practical business implications, particularly in stochastic cost industries and global market dynamics. Awards & Fellowships: 2024: AMA Fellow & Shelby/Hunt Best Paper Award 2021: Churchill Award (Lifetime Contributions) 2004–2023: 10+ paper awards including MSI/Root, Paul Green, and multiple long-term impact recognitions Advising & Grants: Currently supervising doctoral candidates Ayesha Hossain (Human Branding) and Ada Choi (consumer financial decision-making). Supervised 12 completed theses across branding, retailing, and digital marketing. Secured over AU$2 million in grants including ARC Discovery, MSI, and the Marsden Fund. His grants examine topics like brand crisis management, price war dynamics, and mobile marketing ROI. Labs & Teams: Leads the Marketing Science Hub at AiMark, a nonprofit connecting academics with household panel data. Consults for global firms including Unilever, Edeka, and AZTEC. His work emphasizes collaborative data-driven research with industry partners.

Anand Mohan RAMCHANDمشاهده پروفایل

دانشیار

• Digital Transformation
• Business Model Innovation
• Information Technologies
• +۳ مورد دیگر

Anand Mohan RAMCHAND is an Associate Professor (Educator Track) and Assistant Dean (Industry Relations) at the School of Computing (SOC), National University of Singapore (NUS). He also holds a Senior Lecturer position. With a Ph.D., M.Sc., and B.Sc. (Honours) in Information Systems/Computer Science from NUS, his research focuses on digital transformation, business model innovation, and IT-driven social change. He has received over 10 teaching awards and maintained the NUS Teaching Excellence Honour Roll from 2011-2016. Ph.D. (Information Systems, NUS, 2012) M.Sc. (Information Systems, NUS, 2004) B.Sc. (Computer Science & IS, NUS, 2001) His research explores digital enablement of organizations and social change through case studies in healthcare, libraries, and enterprise systems. Recent work examines clinical management systems, knowledge management communities, and ubiquitous computing impacts. His publications span healthcare informatics, organizational learning, and mobile technology trends in Asia. Awards highlight his teaching excellence across NUS faculty and university levels. He coordinates Advanced Topic Academic Program (ATAP)/Student Innovation Project (SIP) initiatives. His professional roles bridge academia-industry collaboration through SOC's strategic initiatives.

Heiko Paulheimمشاهده پروفایل

استاد

• Knowledge Graphs
• Semantic Web
• Web Data Mining
• +۵ مورد دیگر

Prof. Dr. Heiko Paulheim is a Professor of Data Science and currently serves as University Vice President at the University of Mannheim. He leads the Data and Web Science Group (DWS), which focuses on Web Data Mining, Knowledge Graphs, and Semantic Web technologies. His research group contributes to open source knowledge graphs like DBpedia and develops new knowledge graphs such as WebIsALOD and DBkWik. As of October 1, 2024, he has limited teaching capacity due to his vice presidential duties. Prof. Paulheim's research interests span Knowledge Graphs, Semantic Web, Web Data Mining, Machine Learning, and Natural Language Processing. His work particularly focuses on knowledge graph refinement, embedding techniques (notably RDF2vec), and applications in various domains including news recommendation, biomedical informatics, and environmental monitoring. His group develops practical tools like the RapidMiner Linked Open Data Extension and RDF2vec for knowledge graph applications. His recent publications demonstrate a strong focus on knowledge graph embeddings, with particular attention to RDF2vec variants, applications in news recommendation systems, biomedical data integration, and spatio-temporal knowledge graphs for environmental monitoring. His work bridges theoretical advances in knowledge representation with practical applications across multiple domains. Among his notable achievements are a nomination for the Best Paper Award at CAiSE 2025 and securing an Open Science Grant for the SpatialBenchRAG project. His research has significant impact in both academic and industrial contexts, with multiple papers accepted at top conferences like ISWC and ESWC. Prof. Paulheim has supervised numerous PhD students including Alexander Brinkmann and Michael Schlechtinger, and has led several research projects including the DFG Project Mine@LOD, State of BW Project SyKoW², and BMBF Project DS4DM. His group maintains strong industry connections with partners like SAP AG, Daimler AG, and IDS.

• Trust and Institutional Economics
• Entrepreneurship in Africa
• Artificial Intelligence in Healthcare
• +۵ مورد دیگر

Roles & Affiliations: King Omeihe is a Senior Lecturer at the School of Business and Creative Industries, University of the West of Scotland, and serves as UoA 17 Associate Research Lead for People, Culture, and Environment. He holds external roles including Chair of African Studies at the British Academy of Management and Chair of Entrepreneurship in Minority Groups at the Institute for Small Business and Entrepreneurship (ISBE). He advises on African economic policy and chairs several parliamentary groups in Scotland. Education: PhD from University of the West of Scotland, MBA from University of Aberdeen, and a diploma from University of Cambridge. Research Interests: Focuses on trust institutions, entrepreneurship in Africa, and the intersection of AI with societal challenges. Recent works include Trust and Market Institutions in Africa (2023), Qualitative Research Methods for Business Students (2024), and Handbook of African Studies (2025). Explores institutional economics, ethical AI applications, and decolonizing business education. Articles Trends: Recent publications emphasize AI ethics in healthcare, institutional resilience in developing economies, and leadership in complex systems. Key themes include sustainable development goals (SDGs), cross-cultural entrepreneurship, and policy interventions for minority entrepreneurs. Awards: Includes the 2025 UWS Innovation Teaching Award, 2022 Entrepreneurial Supporter of the Year, and multiple recognitions for teaching excellence. His work has been highlighted by Bright Red Spark for shaping enterprise education. Grants & Advising: Advises startups, policymakers, and global bodies like UNCTAD. Leads initiatives such as the MSc Entrepreneurship programme and collaborates with organizations like Marcel Advisory and the West African Transitional Justice Centre. Active in cross-party policy groups addressing social enterprise and racial equality. Labs & Teams: Co-leads the Centre for African Research on Enterprise and Economic Development (CAREED) and contributes to Emerald’s African Context of Business and Society as Editor-in-Chief. Oversees the UWS BME Staff Network and Academic Integrity Panel.

Sina Sarehمشاهده پروفایل

استاد

• Soft robotics
• Multi-modal mobility
• Manipulation and attachment
• +۱ مورد دیگر

Sina Sareh is a robotics researcher at the Royal College of Art (RCA), where he leads the RCA Robotics Laboratory within the School of Design. He has established himself as an expert in soft robotics and multimodal sensing, developing innovative solutions for human safety and access problems in industrial operations. Dr. Sareh's educational background includes: PhD in Robotics from the University of Bristol, where he worked on monolithic design of flexible actuators for operation in confined liquid environments MSc in Control Systems from the University of Sheffield BSc in Electrical Engineering from Amirkabir University of Technology, Tehran Dr. Sareh's research focuses on soft robotics, multi-modal mobility, manipulation and attachment, and multimodal sensing. His work bridges the gap between robotics engineering and practical applications, particularly in medical and industrial settings. He has developed novel approaches to robotic attachment inspired by octopus biology, created haptic interfaces that mimic the feeling of touching human internal organs, and designed soft robotic technologies to help articulate pain symptoms. His research consistently demonstrates innovation in creating adaptable robotic systems that can operate effectively in complex, unstructured environments where traditional rigid robots face limitations. His publication record demonstrates a strong trajectory in robotics research, with emphasis on soft robotics, medical applications, and novel sensing techniques. The research shows progression from fundamental soft actuator design to practical applications in surgery, industrial operations, and human-robot interaction, with a consistent focus on solving real-world problems through biologically inspired approaches. Dr. Sareh has successfully secured multiple research grants, including EPSRC funding for 'Getting a Grip' and 'Multi-vendor Interoperability in Robotics,' as well as InnoHK funding for 'Intelligent Medicine Warehousing.' He has also served as an impact assessor for the Research Excellence Framework (REF) 2021 in Engineering and is a member of the editorial board at IET Cyber-physical Systems and Robotics Journal. Currently, Dr. Sareh advises research students including Filippo Sanzeni, and maintains active collaborations with industry and academic partners through the RCA Robotics Laboratory, which serves as a hub for interdisciplinary robotics research at the intersection of design, engineering, and human-centered applications. His work on projects like 'Topographies of Pain' and 'Reminisys' demonstrates a commitment to applying robotics technology to improve healthcare outcomes and quality of life.

Christian Krupitzerمشاهده پروفایل

استاد

• Food Informatics
• Self-adaptive Software Systems
• Machine Learning
• +۴ مورد دیگر

Jun.-Prof. Dr. Christian Krupitzer is a Tenure Track Professor in Food Informatics at the University of Hohenheim's Institute of Food Science and Biotechnology, part of the Faculty of Natural Sciences. He leads the Department of Food Informatics and is a member of the Computational Science Hub (CSH). His research focuses on self-adaptive software systems, machine learning (especially edge computing), IoT technologies, and software engineering applied to food processing and agricultural systems. Education: PhD in Business Information Systems (Dr. rer. pol.), University of Mannheim (2018) M.Sc. and B.Sc. in Business Information Systems, University of Mannheim (2010–2012) High School Diploma (Abitur) from Wilhelmi-Gymnasium Sinsheim (2007) Research Interests: Krupitzer’s work integrates computational methods with food science, emphasizing adaptive systems for food quality monitoring, IoT in agriculture, and machine learning for predictive analytics. He explores edge computing’s role in real-time decision-making and secure group communication schemes for IoT networks. Publications: His recent work spans predictive maintenance in Industry 4.0, digital twins in food systems, and blockchain applications in supply chain authentication. The articles highlight trends in interdisciplinary approaches combining AI, IoT, and domain-specific challenges in food production and logistics. Awards: No scientific awards explicitly listed in the provided materials. Grants & Advising: While specific grants are unmentioned, his roles as department head and tenure-track professor suggest involvement in research funding. No formal advisee list provided, though his team includes postgraduate researchers like Dana Jox, Daniel Einsiedel, and others. Labs & Teams: Leads the Food Informatics department and collaborates with the Computational Science Hub. His team focuses on developing innovative solutions for food systems through computational methods.

Jamie Collinsمشاهده پروفایل

استاد

• Strategic Management
• Entrepreneurship
• Innovation
• +۳ مورد دیگر

Jamie Collins is a Professor in the Department of Management at Texas Tech University's Rawls College of Business. He holds a PhD in Strategy & Entrepreneurship from Texas A&M University, along with an MBA and BS in Finance. Prior roles include Professor and UC Chair of Strategy at the University of Canterbury (New Zealand) and Director of Sam Houston State University's Center for Entrepreneurship. His research focuses on strategic leadership perceptions, innovation investments, and teaching approaches' impact on student success. He has taught at Clemson, Texas A&M, and Baylor, with visiting roles in Belgium and Italy. Collins teaches strategic management, entrepreneurship, and international management courses. Key research areas include entrepreneurial intuition, venture creation, and the intersection of gender/equality in business programs. His 2020-2024 publications emphasize innovation strategies, educational methodologies, and behavioral skills development. He has collaborated across disciplines from military training to sports performance optimization.

Chung-Hsing Yehمشاهده پروفایل

دانشیار

• Multicriteria Decision Analysis
• Applied Artificial Intelligence
• Intelligent Decision Support Systems
• +۶ مورد دیگر

Chung-Hsing Yeh is an Associate Professor at Monash University's Faculty of Information Technology, Department of Data Science & AI. He holds a visiting professorship at National Cheng Kung University, Taiwan, and has extensive experience in academic roles including Chief Examiner and Lecturer for numerous IT and business-related courses. His research focuses on multicriteria decision analysis, applied artificial intelligence, fuzzy logic, neural networks, and sustainable operations management. He has led collaborative projects on e-waste recycling, supply chain optimization, and public health policy, funded by organizations like the Ministry of Science and Technology (Taiwan) and the Australian Research Council. Education: PhD in Operations Research/Information Systems, Monash University (1988) MSc in Management Science, National Cheng Kung University (1982) BSc (Engineering) in Industrial Design, National Cheng Kung University (1977) Research Interests: His work spans decision support systems, optimization modeling, transport research, and recycling operations. Notable contributions include algorithms for production scheduling, AI-driven solutions for healthcare, and sustainable e-waste management strategies. Awards: Listed in Marquis Who's Who in the World Listed in Who's Who in Finance and Industry Listed in Who's Who in Science and Engineering Grants & Projects: Led 6 major projects, including 'Maximizing E-waste Recycling Profitability' (2019–2020) and 'Smoke-Free Policy Effectiveness' (2007–2010). Active in grant review roles for ARC and the Netherlands Organisation for Scientific Research. Teaching: Overseeing courses such as Fundamentals of Artificial Intelligence, Business Intelligence Modelling, and Management Information Systems.

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

Juan Baezaمشاهده پروفایل

مدرس ارشد

• Health Policy
• Professional Relations
• Healthcare Reform
• +۳ مورد دیگر

Juan Baeza is a Senior Lecturer in Health Policy at King's Business School, King's College London. He holds a PhD from the University of Kent, an MSc from the London School of Economics, and a BA from Goldsmiths, University of London. His research focuses on health policy analysis, particularly examining the impact of health reforms on medical professions and health systems globally, with a focus on the UK's NHS, as well as Chile, Mexico, Russia, Sweden, Poland, and Australia. Affiliations: King's Business School, Department of Public Services Management and Organisation. Education: PhD in Health Policy (University of Kent, 2002), MSc in Economics (LSE, 1993), BA in Social Sciences (Goldsmiths, 1990). Research Interests: Baeza's work explores professional relations within healthcare, healthcare reform, evidence-based practice, and organizational change. He emphasizes how health policies are translated into actionable practices by healthcare professionals and how medical professions influence policy development and implementation. Recent Articles Trends: His publications highlight themes such as integrated care collaboration, the role of evidence in healthcare decision-making, and the governance of pluralist healthcare systems. Recent work includes analyses of pandemic discourse (e.g., Brazil's response to COVID-19) and the reconfiguration of health services in England. Grants & Projects: Co-investigator in projects like the AI-assisted fetal ultrasound trial (NIHR-funded) and studies on stroke care implementation across Europe. Teaching & Leadership: Teaches health policy modules, directs the intercalated BSc in Healthcare Management, and leads executive education programs. Labs/Teams: Active in the Integrated Care Systems (ICS) Research-Practice Network, organizing workshops on healthcare collaboration and prevention strategies.

Jiang Hongboمشاهده پروفایل

استاد

• Distributed systems
• Mobile computing
• Smart sensing
• +۵ مورد دیگر

Hongbo Jiang is a Distinguished Professor and Vice Dean of the College of Computer Science and Electronic Engineering at Hunan University, China. He holds concurrent roles as Director of the Trusted Systems and Networking Key Laboratory of Hunan Province and Director of the Hunan International Technical Cooperation Base for High-Performance Computing and Distributed Systems. His academic journey includes tenures as a Professor at Huazhong University of Science and Technology and a Hong Kong Scholar Research Fellow at The Chinese University of Hong Kong. Education: PhD in Computer Science (Case Western Reserve University, 2008), B.S./M.S. in Mathematics (Huazhong University of Science and Technology, 2002). Research Interests: Distributed systems, mobile computing, smart sensing, wireless networks, IoT, and edge computing. Ongoing projects include mobile/wireless applications, data science in IoT, and edge computing platforms. His work emphasizes practical implementations such as DriverSonar for driving safety and SmileAuth for biometric authentication. Key Achievements: Elected Member of Academia Europaea (2022), Fellow of AAIA, IET, and BCS. Notable awards include the Wu Wenjun Science and Technology Award (2020) and multiple best paper recognitions. Over 100+ publications in top venues like ACM MobiCom, IEEE/ACM Transactions. Professional Contributions: Editorial roles across 8+ journals including IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. Conference leadership includes co-founding ACM TURC and EAI ICECI. Active in technical committees for INFOCOM, MOBIHOC, and ICDCS. Labs/Teams: Leads research groups focused on networking, IoT, and edge computing. Current openings for PhD/MSc students and PostDoc researchers with strong mathematical and systems backgrounds.

Ben Millsمشاهده پروفایل

پژوهشگر ارشد

• Laser Technology
• Deep Learning
• Photonics
• +۳ مورد دیگر

Dr. Ben Mills is a Principal Research Fellow at the University of Southampton. His research focuses on the integration of deep learning with laser technologies, including applications in environmental monitoring, materials science, and biomedical imaging. He is a core member of the Smart Lasers and Special Fibres research group and leads projects such as Hearing Light and Lasers that Learn , funded by the EPSRC. His work spans laser beam shaping, material transfer, and diagnostic techniques using AI-driven photonics. Research Interests: Laser-material interactions Deep learning for optical systems Environmental sensing via lasers Biophotonics applications Additive/subtractive manufacturing Publications (2023–2025) highlight innovations in laser cleaning, beam optimization, and pollen imaging using low-cost hardware. His work bridges fundamental optics with applied machine learning solutions. External Contributions: Speaker at international conferences on AI in photonics (2019–2021) Keynote on predictive laser materials processing (2019) Presenter at invited sessions on particle sensing via deep learning (2020) Current Supervision: PhD students Luke Burke (Physics), Fedor Chernikov (ORC), and Yuchen Liu (ORC) work on laser beam control and environmental applications.

David Oliverمشاهده پروفایل

استاد

• Palliative Care
• End-of-Life Care
• Neurological Disorders
• +۳ مورد دیگر

Professor David Oliver is an Honorary Professor at the University of Kent’s Tizard Centre, within the School of Social Sciences. He specializes in palliative care for individuals with neurological disorders, particularly motor neurone disease (MND), and intellectual/developmental disabilities (IDD). His roles include teaching on end-of-life care courses and supervising PhD students such as Winnie Tsang, Simone Veronese, and Carol Gouveia e Melo. With over 25 years of involvement at the University, Oliver previously held roles as Honorary Senior Lecturer and Honorary Reader. His research focuses on quality of life assessment for IDD individuals with dementia, palliative care in neurodegenerative diseases, and improving care for marginalized populations. Internationally, he chairs the European Association for Palliative Care task force on neurological palliative care and collaborates with institutions in Croatia, Nigeria, and beyond. Key achievements include co-authoring NICE guidelines on MND, editing major palliative care textbooks, and receiving awards like the Humanitarian Prize from the International Alliance of ALS/MND Associations. His work spans clinical practice (retired from full-time hospice work), academic leadership, and global advocacy for equitable end-of-life care.

Tamás Koltaiمشاهده پروفایل

استاد

• Production Management
• Operations Research
• Data Envelopment Analysis (DEA)
• +۳ مورد دیگر

Dr. Tamás Koltai is a Professor and Dean at the Faculty of Economics and Social Sciences of Budapest University of Technology and Economics (BME). He leads the doctoral school's Specialization Group in Production Management. His roles include overseeing academic programs and research in production management, operations research, and efficiency analysis. Education: Doctor of the Hungarian Academy of Sciences (2016) Dr. habil. (2000), Budapest University of Technology and Economics Candidate of Technical Sciences (1987), Hungarian Academy of Sciences M.Sc. in Mechanical Engineering (1983), BME Faculty of Mechanical Engineering Research Interests: Dr. Koltai focuses on production management optimization, including the application of Data Envelopment Analysis (DEA), sensitivity analysis in mathematical models, and the integration of robotics in assembly lines. His work bridges theoretical models (e.g., MILP/CP optimization) with practical industrial challenges, particularly in healthcare efficiency and educational management. Notable Awards: IEOM Society Teaching Excellence Award (2021) BME GTK Faculty Memorial Medal (2016) János Susánszki Award (2013) Széchenyi Professorship Scholarship (1999–) Teaching & Leadership: He has held visiting roles at the University of Seville (1990–1992) and the University of Michigan (1988/89). His teaching excellence is recognized through awards and his contributions to business simulation education. His research often collaborates with industry partners to address real-world operational challenges. Labs/Teams: Leads the Production Management Specialization Group and contributes to interdisciplinary teams focusing on manufacturing efficiency and healthcare operations within BME.