جست‌وجوی استاد و پژوهشگر

• Construction Management
• Project Management
• Artificial Intelligence Applications in Engineering
• +۳ مورد دیگر

Elyar Pourrahimian is a Postdoctoral Fellow at the University of Alberta's Faculty of Engineering, specifically within the Civil and Environmental Engineering Department. He teaches courses such as CIV E 303 - Project Management (Winter Term 2026) and CIV E 601 - Analytical Methods for Project Management (Fall Term 2025), focusing on project planning, scheduling, and control methodologies. His research interests span Construction Management Project Management Artificial Intelligence Applications in Engineering Chaos Theory in Project Planning Fuzzy Systems in Labour Productivity Bayesian Inference in Construction Simulation . Recent publications highlight trends in construction workspace optimization (2025), chaos and fuzzy systems for productivity analysis (2025-2022), and machine learning frameworks (2024) for construction monitoring. He also explores multidimensional project control (2024) and socio-technical lean management frameworks (2024).

• Practice-Based Research Networks (PBRNs)
• Health Information Technology
• Patient-Centered Outcomes Research (PCOR)
• +۳ مورد دیگر

Zsolt J. Nagykaldi, PhD , is a Professor in the Department of Family and Preventive Medicine at the University of Oklahoma Health Sciences Center. He serves as Director of Research at the OU Family Medicine Center, Associate Director of Community-Engaged Research, and Associate Director of the Oklahoma Primary Healthcare Improvement Collaborative. His work bridges practice-based research networks (PBRNs), health information technology, and patient-centered outcomes, with a focus on preventive medicine and chronic disease management. University: University of Oklahoma Health Sciences Center Department: Family and Preventive Medicine Academic Rank: Professor Research Interests : Nagykaldi's research spans Practice-Based Research Networks (PBRNs), health IT, telemedicine, and preventive care. Recent projects include mHealth interventions for diabetes, lung cancer screening in tribal communities, and opioid slang detection via social media analytics. His work emphasizes community-academia partnerships and evidence-based quality improvement. Scientific Trends : Articles from 2025–2023 highlight innovations in patient-centered care, including chronic pain management, mHealth for diabetes, and tribal lung cancer screening. Methodologies range from stepped-wedge trials to social media NLP, reflecting interdisciplinary engagement with public health and behavioral science. Grants & Collaborations : He led a PCORI-funded project on patient-directed queries networks and collaborated on NIH/IDeA infrastructure grants. His partnerships with the Oklahoma Primary Care Research Network (OKPRN), tribal clinics, and community organizations underscore his commitment to practice transformation.

• Mechanical Engineering
• Artificial Intelligence
• Tribology
• +۳ مورد دیگر

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.

• Educational Technology
• Online Learning
• Assessment
• +۳ مورد دیگر

Anne Yates is a Senior Lecturer in the School of Education at Victoria University of Wellington. She teaches in the Graduate Diploma of Teaching (Primary/Secondary), Masters of Teaching and Learning, and Masters of Education programs. Her research centers on digital technologies in education, online/distance learning, assessment methodologies, and initial teacher education. Prior to academia, she taught secondary school economics, accounting, and legal studies, contributing to New Zealand's NCEA development through standards design, professional development, and curriculum support. Education : BA (University of Otago) DipTchg (University of Canterbury) Dip Bus Studies (Massey University) MEd, PhD (Victoria University of Wellington) Research Focus : Her work investigates digital competence frameworks, AI in education (e.g., ChatGPT), MOOC recommender systems, and career-change teachers' professional identity. She emphasizes pedagogical adaptations during crises (e.g., COVID-19) and discipline-specific digital capabilities in higher education. Publication Trends : Her recent articles analyze technology-enhanced learning, teacher education reform, and educational resilience. Dominant themes include digital equity, personalized learning algorithms, and critical pedagogy, reflecting a consistent focus on innovation in teacher preparation and digital infrastructure. Professional Service : Member: THW-VUW Human Ethics Committee (2024), Faculty of Education Research Committee (2023–2025) Reviewer: Computers & Education, Technology Pedagogy and Education, Australian Journal of Career Development Advisor: New Zealand Qualifications Authority (2022–2023) Supervision & Grants : She supervises doctoral projects on digital competence in rural China, post-pandemic learning preferences, and gifted transgender youth. Funded projects include studies on undergraduate digital capabilities (2024) and ChatGPT in teacher education (2023).

Jessica Tillipmanمشاهده پروفایل

مدرس

• Government Procurement Law
• Anti-Corruption
• Compliance
• +۳ مورد دیگر

Jessica Tillipman serves as the Associate Dean for Government Procurement Law Studies and Government Contracts Advisory Council Distinguished Professorial Lecturer at George Washington University Law School. She is an internationally recognized expert specializing in integrity, compliance, and emerging technology issues in government procurement law. Her academic leadership extends to directing GW Law's Government Procurement Law Program, one of the most comprehensive programs of its kind in the United States. Dean Tillipman earned her BA cum laude from Miami University (Oxford, OH) in 2000 and obtained her JD with honors from the George Washington University Law School in 2003. Her educational background provided the foundation for her specialized expertise in government contracts and anti-corruption law. Her research interests focus on the intersection of government procurement, ethics, and emerging technologies. She has pioneered work examining how artificial intelligence impacts government contracting processes, advocating for ethical AI implementation in public procurement. Her scholarship addresses critical issues including organizational conflicts of interest, suspension and debarment systems, anti-corruption compliance, and the evolving regulatory landscape of federal acquisition. She has been instrumental in developing frameworks for ethical AI procurement that respect civil rights while maintaining competitive integrity. Her 15 most recent publications demonstrate a clear trajectory toward increasingly sophisticated analysis of procurement integrity systems, with growing emphasis on technology's role in government contracting. Her work spans foundational topics like Federal Acquisition Regulation compliance to cutting-edge issues like AI risk management in public procurement, reflecting her dual expertise in traditional government contracts law and emerging technological challenges. Government Contracts Advisory Council Distinguished Professorial Lecturer Senior Advisor to the American Bar Association, International Anti-Corruption Committee Faculty Advisor to the Public Contract Law Journal Member of the National Contract Management Association Board of Advisors Advisory Board member of The Government Contractor Dean Tillipman actively mentors the next generation of government contracts attorneys through her teaching and advisory roles. She serves as Senior Editor of The FCPA Blog, a leading Foreign Corrupt Practices Act resource, and frequently organizes and presents at domestic and international government procurement conferences. Her practical experience includes service as a law clerk to the Honorable Lawrence S. Margolis of the U.S. Court of Federal Claims and as an associate at Jenner & Block specializing in Government Contracts and White Collar Criminal Defense. She maintains active involvement with professional organizations including the bars of the United States Court of Federal Claims, the state of Virginia, and the District of Columbia. Her commentary regularly appears in major media outlets, and she has testified before congressional committees on critical procurement integrity issues.

Susan Schraderمشاهده پروفایل

دانشیار

• Petroleum Engineering
• Flow Modeling
• Data Analytics and Machine Learning
• +۳ مورد دیگر

Susan Schrader serves as an Associate Professor in the Department of Petroleum Engineering within Montana Technological University's Lance College of Mines & Engineering, where she has held faculty positions since 2008 after previously teaching at the University of Texas Permian Basin. Her academic foundation includes a PhD in Petroleum Engineering from the New Mexico Institute of Mining and Technology and an MA in Applied Mathematics from the University of New Mexico, with additional doctoral coursework in Mathematics at Montana State University. Her educational qualifications comprise: PhD in Petroleum Engineering, New Mexico Institute of Mining and Technology MA in Applied Mathematics, University of New Mexico ABD toward PhD in Mathematics, Montana State University Schrader's research program centers on petroleum engineering with dual emphases on technical innovation and educational advancement. She develops computational models for fluid flow in low-permeability reservoirs while pioneering data analytics and machine learning applications for reservoir simulation. Concurrently, she investigates climate change mitigation through carbon sequestration and examines societal dimensions of energy industry-climate relationships. Her educational scholarship focuses on accreditation, program assessment, and promoting diversity within STEM disciplines, reflecting commitment to both technical excellence and inclusive pedagogy. Publication analysis reveals an evolutionary trajectory from early fuzzy logic applications in drilling risk assessment toward contemporary integration of neural networks in reservoir engineering and socio-technical climate research. This progression demonstrates increasing sophistication in computational methodologies while expanding into interdisciplinary energy-environment interfaces, particularly evident in her recent low-permeability flow modeling and climate change studies. No scientific awards are documented in available sources. Schrader's instructional responsibilities span advanced computational courses including Data Modeling for Petroleum Engineers, Data Science, and Advanced Reservoir Engineering, indicating substantial curriculum development contributions. While specific graduate student mentorship details are absent from provided materials, her research areas suggest supervision of projects combining petroleum engineering with data science methodologies. Grant funding specifics remain undisclosed in the source documentation. Her computational research likely leverages Montana Tech's High Performance Computing Cluster infrastructure, though no dedicated laboratory facilities are explicitly attributed to her in the available information.

• Wine Business Economics
• Wine Market Analysis
• Economic Sustainability in Viticulture
• +۳ مورد دیگر

Professor Simone Loose serves as Head of Institute at Geisenheim University, leading the Department of Wine & Beverage Business and holding the Professorship for Wine & Beverage Business Administration. Her position places her at the forefront of wine business research and education in Germany, with direct contact information showing her office in Building 5800, Room E7 at the Geisenheim campus. Her research interests focus on the economic aspects of the wine industry, with particular expertise in wine market analysis, business sustainability, crisis management, and digital sales analytics. She examines how wineries can maintain profitability amid changing market conditions, labor shortages, and climate challenges. Her work bridges academic research and practical industry applications, frequently addressing current challenges facing German and international wine producers. An analysis of her recent publications reveals a strong focus on wine industry trends and economic sustainability. Her work examines market crises, labor shortages, climate adaptation strategies, and digital transformation in the wine sector. She frequently collaborates with researchers like Strub L. and Wetzler A. on studies that combine economic analysis with viticultural practices, particularly focusing on how technological innovations like agrivoltaics can impact vineyard economics. Professor Loose leads and contributes to significant research projects including the long-running 'Profitability Analysis in Viticulture' that has provided industry insights since 1994. She is currently involved in multiple funded projects such as 'Digital Sales Analysis for the German Wine Institute' and 'Digital Knowledge Transfer for Economic Sustainability,' working with sponsors including the Ministry of Economic Affairs in Rhineland-Palatinate and Wines of Germany. Her research directly informs industry practices and policy decisions in the German wine sector.

• Visual Analytics
• Human-Computer Interaction
• Trustable AI
• +۵ مورد دیگر

David Ebert is a Gallogly Chair Professor of Electrical and Computer Engineering at the University of Oklahoma (OU), where he serves as Director of the Data Institute for Societal Challenges. He is also an Adjunct Professor at Purdue University and leads the Department of Homeland Security’s Visual Analytics Center of Excellence (VACCINE). Education: Ph.D., M.S., B.S. in Computer Science from The Ohio State University Research Interests : His work spans visual analytics , human-computer teaming , trustable AI , and data science with applications in energy/climate resiliency, defense/security, health, and digital humanities. Recent projects include predictive visual analytics for public safety and social media spambot detection. Scientific Awards : IEEE Fellow IEEE Computer Society vgTC Technical Achievement Award National Science Foundation's InTRO grant University Faculty Scholar DHS S&T Award of Excellence Leadership Roles : Associate Vice President of Research and Partnerships at OU, with directorships in multiple research centers focused on visual analytics and information assurance.

Christiane Schmidtمشاهده پروفایل

عضو هیئت علمی

• Algorithm Design and Analysis
• Computational Geometry
• Air Traffic Management
• +۳ مورد دیگر

Christiane Schmidt is a Senior Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems (KTS) research group. Her work focuses on algorithm design, air traffic management, railway optimization, and computational geometry. She contributes to both academic research and practical solutions for transportation systems. Education and Research: While specific educational details are not provided, her research emphasizes algorithmic solutions for complex transportation challenges. Her team develops models for air traffic controller workload prediction using machine learning and explores late train-crew rescheduling via heuristic approaches. Research Interests: Key areas include railway traffic optimization, air traffic management systems, and computational geometry applications. Recent projects involve guard route optimization for polygons, multi-agent path planning, and automated aircraft arrival scheduling. Publications: Her 2025 work highlights advancements in tabu-search-based scheduling, machine learning for air traffic analysis, and train path insertion methods. Earlier papers address workforce scheduling and disaster recovery in transportation networks. Labs and Teams: Active within the Communications and Transport Systems group, she collaborates on projects like the Flight Logistics Unit (FL) and contributes to initiatives like B-PREPARED for disaster preparedness.

• Blockchain and FinTech
• Deep Learning
• Text Mining
• +۳ مورد دیگر

Rong Liu is an Associate Professor at the School of Business, Stevens Institute of Technology, specializing in Information Systems and FinTech. His research focuses on Blockchain, Deep Learning, Text Mining, and Business Process Management. Prior to Stevens, he was a Research Staff Member at IBM T.J. Watson Research Center (2006–2017). Liu holds a PhD in Information Systems from Penn State University (2006). Research Interests Liu’s work integrates AI and business analytics to address challenges in finance, healthcare, and operations. Key areas include blockchain applications in supply chains, ethical AI in hiring, misinformation detection, and predictive modeling for fraud and litigation. His methodologies combine deep learning with theory-driven approaches, emphasizing interpretability and real-world impact. Recent Trends in Publications His recent work explores large language model (LLM) applications in healthcare (e.g., drug shortage prediction), financial decision-making systems, and ethical compliance in job advertisements. He also investigates blockchain’s role in supply chain transparency and open-source development’s impact on ICOs. Awards & Recognition Liu has received awards including the Bright Idea Award (New Jersey Business Faculty, 2020) and multiple best paper awards at ICIS, WITS, and INFOCOM conferences. His work on supply chain event management (2007) was recognized with a Best Paper Award at the Business Process Management Conference. Service & Teaching He serves on academic committees at Stevens and reviews for top journals like MIS Quarterly and Production and Operations Management. Courses taught include Web Mining, Deep Learning for Business Analytics, and Large Language Models in Finance.

• Health Sciences
• Health Service Administration
• Gastroenterology
• +۷ مورد دیگر

Professor Milada Hagen is affiliated with the Department of Nursing and Health Promotion at Oslo Metropolitan University (OsloMet), serving as Head of Studies. Her research focuses on health sciences, gastroenterology, endocrinology, musculoskeletal health, and digital health interventions. Key projects include studies on diabetes management, pain in adolescents, and telemedicine in emergency care. She leads the Musculoskeletal Health Research group and contributes to initiatives like 'Digital follow-up of patients with type 1 diabetes' and 'Pain, Youth and Over-the-Counter Analgesics.' Her work emphasizes evidence-based practices in healthcare delivery and patient outcomes. Research interests span chronic disease management (e.g., diabetes, gastrointestinal disorders), healthcare system optimization, and patient-centered interventions. Notable contributions include collaborative studies on bariatric surgery outcomes, post-ICU mental health, and gender differences in cardiovascular events. Her publications often address translational research bridging clinical practice and population health. Key Projects: Digital follow-up of patients with type 1 diabetes (DigiDiaS) Pain and OTC analgesic use in adolescents (SUS project) Video streaming in medical emergency calls Research Groups: Musculoskeletal Health Research Collaborations: Ongoing partnerships with Oslo University Hospital, the Norwegian Institute of Public Health, and international consortia (e.g., Back Complaints in the Elders). Her work integrates epidemiological methods, clinical trials, and qualitative analyses to address gaps in healthcare delivery. Recent studies highlight the impact of lifestyle factors on musculoskeletal disorders and the role of digital tools in enhancing patient adherence.

Ingmar Ickerottمشاهده پروفایل

استاد

• Logistics Management
• Digitalization in Supply Chains
• Smart Glasses Applications
• +۳ مورد دیگر

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

Nga Phamمشاهده پروفایل

پژوهشگر ارشد

• Corporate Governance
• Investment
• ESG
• +۵ مورد دیگر

Dr Nga Pham is a Senior Research Fellow at the Monash Centre for Financial Studies (MCFS), Monash University. She holds a PhD in Finance from La Trobe University and a Bachelor of Commerce from the University of Melbourne. Her research focuses on corporate governance, ESG integration, shareholder activism, and modern slavery disclosure in financial systems. Nga has extensive industry experience, including roles as an equity analyst, corporate governance consultant with the World Bank Group, and academic leadership in Vietnam's higher education sector. Her career includes managerial roles such as Dean of the Business Faculty at Hanoi University and Executive Director of a joint program with La Trobe University. Nga is a CFA Charterholder and contributes to policy through submissions to ASX governance consultations. Key research projects include analysis of superannuation tax concessions, carbon pricing trends, and modern slavery reporting standards for ASX-listed companies. Notable awards include the 2023 Dean's Award for Research Impact and ICGN's Rising Star Award. Her work spans 20+ publications, emphasizing sustainable finance, pension system reform, and ethical investing. Nga actively engages in academic-industry collaborations, advising on regulatory frameworks and presenting at forums like the CFA Society Australia Investment Leader Forum.

• Open Source Software
• Inner Source Adoption
• Crowdsourcing in Software Engineering
• +۴ مورد دیگر

Klaas-Jan Stol is a Senior Lecturer at the School of Computer Science and Information Technology, University College Cork. His research focuses on software development methods, open source practices, and improving research methodologies in software engineering. He leads projects funded by Science Foundation Ireland (SFI) and industry, with grants totaling over €1.5 million. Notable roles include SFI Principal Investigator on open source and agile projects. Education: PhD (Computer Science, University of Limerick), MSc (University of Groningen), B.ICT (Hanzehogeschool Groningen). Former Research Fellow at Lero - Irish Software Research Centre. Research interests span open source adoption, inner source frameworks, crowdsourcing, and theory development. Key publications include Adopting InnerSource: Principles and Case Studies (2018) and Scaling a Software Business (2017). Awards include the Lero Director’s Research Excellence Award (2019). Grant leadership includes SODAW (€464k), HUSRAI (€353k), and Security-Centered Developers (€91k). Guides PhD/postdoc researchers in areas like secure coding and open source ecosystems. Editorial roles: Empirical Software Engineering, Journal of Systems and Software. Labs/Teams: Active in Lero as a Funded Investigator, contributing to industry-academia collaborations.

Michelle Roganمشاهده پروفایل

استاد

• Strategic Management
• Innovation
• Entrepreneurship
• +۴ مورد دیگر

Michelle Rogan is a Professor of Strategy at the Saïd Business School, University of Oxford. She specializes in strategic management, focusing on how social networks influence entrepreneurship, innovation, and organizational performance. Her research spans topics such as strategic partner selection, corporate social responsibility (CSR), and the impact of gender dynamics on promotions. Previously, she held professorial roles at Imperial College Business School, University of North Carolina, and INSEAD, and served as a visiting scholar at Stanford University. She holds a PhD from London Business School and a BA from Yale University. Education: PhD in Strategy and International Management (London Business School), BA in Psychology (Yale University). Research interests include: the role of social capital in innovation, networks affecting entrepreneurial success, and the strategic implications of CSR initiatives. Recent projects explore AI’s impact on decision-making and female entrepreneurs’ networking behaviors. She has been published in top journals like Strategic Management Journal , Academy of Management Journal , and Management Science . Teaching and Engagement: Recognized for award-winning case studies (e.g., BP transformation), she teaches strategy, innovation, and leadership across executive and graduate programs. She co-directed INSEAD’s Social Entrepreneurship program and led leadership development initiatives in Saudi Arabia. Key roles include senior editor at Organisation Science and editorial board member at Strategic Management Journal . Awards include the Teaching All-Star award (UNC), Best Online Teaching (Imperial College), and case-writing accolades. Her work bridges academic research with practical insights for global business leaders.