جست‌وجوی استاد و پژوهشگر

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
• +۳ مورد دیگر

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.

Christiane Woopenمشاهده پروفایل

استاد

• Ethics and Theory of Medicine
• Neuroethics
• Reproductive Medicine
• +۵ مورد دیگر

Christiane Woopen is a Professor for Ethics and Theory of Medicine at the University of Cologne , where she serves as Executive Director of the Cologne Center for Ethics, Rights, Economics, and Social Sciences of Health (ceres) . Her leadership extends to roles such as Head of the Research Unit Ethics and former Vice-Dean for Academic Development and Gender at the Medical Faculty, University Hospital Cologne. Educational Background: Medical degree from the University of Bonn, followed by specialization in gynecology and obstetrics before transitioning to bioethics. Her research focuses on ethical dimensions of reproductive medicine, neuroethics, personalized medicine, genome editing, and health in the digital age . She leads international projects addressing aging, health literacy, and AI governance. Recent publications emphasize genome editing policy, AI in healthcare, and ethical challenges of deep brain stimulation , reflecting her interdisciplinary approach to bioethics. Scientific Awards: Federal Cross of Merit 1st Class (2018) Member, European Academy of Sciences and Arts (2014) She has held advisory roles in national and international ethics bodies, including the European Group on Ethics in Science and New Technologies and UNESCO's International Bioethics Committee. Her leadership in ceres involves fostering research on aging, health literacy, and digital transformation, with a commitment to public engagement and interdisciplinary collaboration.

• Algorithmic Foundations of Mathematical Optimization
• Reinforcement Learning
• Data-centric Learning
• +۵ مورد دیگر

Supriyo Ghosh is a Senior Researcher at Microsoft Research, India. Prior to this role, he held positions at IBM Research AI Lab (2019–2021) and the Institute of Infocomm Research (I2R), A*STAR. He completed his PhD in Information Systems at Singapore Management University (2017) under Prof. Pradeep Varakantham and conducted postdoctoral research at MIT's SMART and LIDS centers (2016–2017). His research focuses on data-driven decision analytics, including algorithmic optimization, reinforcement learning, urban logistics, and network resilience in cyber-physical systems. His work has addressed cloud incident management, proactive decision-making under uncertainty, and applications of large language models (LLMs) in system reliability. Notable contributions include developing automated root-cause analysis frameworks and improving incident response strategies in large-scale cloud environments. He has also explored reinforcement learning applications in healthcare treatment optimization and air traffic control systems. Award-winning research includes the Best Paper Award at ACM SoCC'22 for an empirical study on high-severity cloud service incidents. He actively serves as a PC member for top conferences like AAAI, NeurIPS, and ICML, demonstrating his leadership in advancing AI and optimization fields. His academic background includes a graduate exchange at Carnegie Mellon University (CMU) and collaborations with MIT faculty like Prof. Patrick Jaillet. His work bridges theoretical foundations with real-world applications in transportation, cybersecurity, and enterprise systems.

Jacob Haislipمشاهده پروفایل

دانشیار

• Accounting Information Systems
• Corporate Governance
• Cybersecurity
• +۴ مورد دیگر

Jacob Haislip is an Associate Professor of Accounting at the Rawls College of Business, Texas Tech University. He specializes in Accounting Information Systems and teaches undergraduate and advanced courses in data analytics in accounting. His research focuses on corporate governance dynamics, particularly intersections between information technology governance and organizational outcomes. Dr. Haislip holds a PhD in Business Administration (Accounting emphasis) from the University of Arkansas (2014), and MS and BBA degrees in Accounting from Texas Tech University. His research explores how executive IT expertise and board-level technology committees influence cybersecurity disclosures, audit processes, and corporate governance outcomes. Key areas include audit committee effectiveness, data breach reporting practices, and the economic consequences of IT material weaknesses. His work has been published in top journals like Contemporary Accounting Research and Information Systems Research. Haislip currently serves as associate editor for the Journal of Information Systems and editorial board member for the International Journal of Accounting Information Systems. He will assume the role of Treasurer for the American Accounting Association's AIS Section in 2024. His research trends emphasize understanding how technology governance structures impact financial reporting quality, regulatory compliance, and organizational resilience. Recent work highlights executive accountability mechanisms following cybersecurity incidents and the role of audit committees in mitigating earnings management risks.

Valentijn Vischمشاهده پروفایل

پژوهشگر

• eHealth Technology
• Gamification in Healthcare
• AI in Medical Decision Making
• +۴ مورد دیگر

Valentijn Visch is a researcher and academic at Delft University of Technology's Faculty of Industrial Design Engineering, specializing in Human-Centered Design and Society, Culture, and Critique. His work focuses on eHealth interventions, gamification in healthcare, and reducing health-related stigmas through innovative design solutions. He teaches courses such as 'eHealth Design for a Healthy Society' and 'Understanding Humans,' emphasizing interdisciplinary approaches to healthcare challenges. His research projects include developing embodied coaches for stroke rehabilitation, AI-driven healthcare decision-making frameworks, and inclusive eHealth tools for low socioeconomic populations. He has been recognized with awards like the Rehabilitation Year Award 2024 for his work on cardiac rehabilitation interventions and a CHI 2024 Best Paper Honourable Mention for studies on patient preferences in AI autonomy. Visch collaborates on initiatives like the 'Emotion Aware Car Seat' project, exploring human-technology interaction. His work bridges academic research with real-world applications, addressing gaps in healthcare accessibility and patient empowerment through technology.

Ousmane Seidouمشاهده پروفایل

استاد

• Hydrological Modeling
• Climate Change Impacts
• Water Resources Management
• +۴ مورد دیگر

Dr. Ousmane Seidou is a Full Professor in the Department of Civil Engineering at the University of Ottawa, where he has served since 2007. He leads the Hydraulics Lab and holds affiliations with the Faculty of Engineering's Centre for Indigenous Community Infrastructure. His academic journey includes a PhD from École Polytechnique de Montréal (2002) and postdoctoral research at the Institut National de la Recherche Scientifique, Quebec. Dr. Seidou specializes in climate change impacts on water resources, hydrological modeling, and transboundary water management. Education: Ph.D. in Civil Engineering (Hydraulics), École Polytechnique de Montréal (2002) M.Sc. in Water Resources Engineering, École Polytechnique de Montréal (2002) Postgraduate Diploma in Hydroinformatics, École Inter-États des Ingénieurs de l'Équipement Rural (1998) Undergraduate Degree in Civil Engineering, École Mohammadia d'Ingénieurs (1996) Research Focus: Dr. Seidou’s work integrates hydrological modeling with climate adaptation strategies, emphasizing Africa’s water security. Key areas include: Climate change impacts on river basins (e.g., Niger, Congo) Development of flood early warning systems in West Africa Water-Energy-Food-Environment (WEFE) nexus frameworks Environmental flow estimation in wetland ecosystems He leads international projects involving multi-country collaborations and agencies like the United Nations Development Programme and the World Bank. Recent Projects: Principal Investigator for the Niger Basin Authority’s WEFE Nexus initiative Technical leadership in the Dutch-funded BAM-GIRE project (Mali/Guinea wetlands) Development of flood early warning systems for Niamey and Gaya (Niger) Teaching: Courses include Climate Change Impacts on Water Resources, Advanced Hydrological Modeling, and Water Resources Management. He mentors PhD students in hydrology and climate adaptation. Grants & Funding: Secured multi-million-dollar projects with organizations like Wetlands International and the UAE-BELEM Programme. Recent funding includes $135,000 for hydrological modeling tools in the Niger Basin. Labs/Teams: Director of the Hydraulics Lab at the University of Ottawa. Active in global initiatives like the Global Goal on Adaptation (GGA) indicator development under the Paris Agreement.

• Project Management
• Supply Chain Resilience
• Digital Transformation
• +۱۱ مورد دیگر

Dr. Mohsin Malik is an Associate Professor of Project Management at Swinburne University of Technology (since 2023) in Melbourne, Australia. Previously, he held roles as Senior Lecturer (2018–2022) at Swinburne and Lecturer (2016–2018) at the University of Melbourne. He earned his PhD in Technology Management from the University of Western Australia (2012). His research focuses on organizational dynamics for innovative outcomes in digital contexts, sustainability in supply chains, and project management practices aligned with UN Sustainable Development Goals (SDG-9, SDG-12, SDG-3). Key areas include digital transformation, lean management, agile project management, and supply chain resilience. Dr. Malik’s work has been published in top-tier journals like the International Journal of Project Management, Information & Management, and IEEE Transactions on Engineering Management. He currently serves as Senior Associate Editor of the International Journal of Physical Distribution & Logistics Management and has secured grants totaling over AUD 1M, including a 2025–2028 project on digital transformation in Indian/Australian organizations funded by DFAT. His research explores topics such as socio-cognitive dynamics in digital transformation, lean socio-technical systems, and agency theory in international development projects. Recent projects include analyzing digital platform interactions for Australian artists and evaluating virtual healthcare barriers during the pandemic. He actively supervises doctoral and master’s students focusing on digital governance, social sustainability, and project monitoring frameworks. Dr. Malik is a globally recognized scholar, with over 23 years of academic and industry experience. He collaborates with organizations like the Victorian Music Development Office and the Australian Academy of Science, emphasizing real-world impact through research.

Michael Everettمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Control Theory
• +۶ مورد دیگر

Michael Everett is an Assistant Professor at Northeastern University with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. He directs the Autonomy & Intelligence Laboratory, focusing on certifiable learning machines at the intersection of robotics, deep learning, and control theory. His research emphasizes safety, reliability, and efficiency in robotics applications like off-road navigation and social environments. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (2020) SM in Mechanical Engineering, MIT (2017) SB in Mechanical Engineering, MIT (2015) Research Interests: Robotics and motion planning Control theory and neural network verification Reinforcement learning applications Certifiable safety guarantees for autonomous systems Navigation in dynamic/human environments Awards: Runner-Up: Best Paper Award (ICML 2022) Winner: Best Student Paper (IROS 2017/2023) Editors’ Top 5 Published Articles (IEEE Access 2021) Lab & Contributions: The Autonomy & Intelligence Lab develops algorithms for high-speed off-road autonomy, socially aware navigation, and neural feedback verification. His work includes the RAMP planning pipeline and Evora traversability learning framework. He collaborates with Google’s PAIR team on trustworthy AI.

• Finance
• Macroeconomics
• Labor Economics
• +۴ مورد دیگر

Lawrence D. W. Schmidt is the Victor J. Menezes Career Development Assistant Professor of Finance at the MIT Sloan School of Management. He holds a PhD and MA in Economics from the University of California, San Diego, and previously served as an Assistant Professor at the University of Chicago’s Kenneth C. Griffin Department of Economics. His research bridges finance and macro-labor economics, focusing on household risk exposures, institutional investor behavior, and labor market dynamics. Key areas include human capital valuation, asset pricing implications of labor market risks, and the design of retirement savings institutions. Education: BA, University of California, Santa Barbara; PhD and MA, University of California, San Diego. Research Interests: Human capital risk and asset pricing Income inequality and retirement savings disparities Big data analysis of labor and financial markets Policy design for financial welfare Recent Trends in Publications: Schmidt’s work increasingly emphasizes the interplay between technological change and labor market outcomes, particularly in quantifying risks faced by workers and the implications for financial markets. His studies on retirement savings inequities highlight racial and socioeconomic disparities in wealth accumulation, informed by large-scale administrative datasets. Awards: 2024 Dimensional Fund Advisors Prize 2015 AQR Top Finance Graduate Award Advising & Grants: Collaborations with institutions like NBER and MIT Sloan reflect his focus on policy-relevant research. His work often involves interdisciplinary teams, as seen in co-authored papers on employer 401(k) practices and technology-driven labor displacement. Labs/Teams: Active contributor to the MIT Sloan Consumer Finance Initiative, which explores household finance and policy solutions for economic stability.

FENG Menglingمشاهده پروفایل

دانشیار

• Biostatistics
• Healthcare Data Analytics
• Medical AI
• +۳ مورد دیگر

**FENG Mengling** is an Associate Professor at the National University of Singapore (NUS) and holds primary affiliation with the Saw Swee Hock School of Public Health. She serves as the Domain Leader for the Biostatistics, Modelling, AI and Data Analytics (B.MAD) Domain and Director of the AI for Public Health (AI4PH) Program. Her academic credentials include a Senior Post-doc from Harvard-MIT Health Science Technology Division, a PhD from Nanyang Technological University (2009), and a Bachelor's degree (2003) from NTU. Research & Teaching: Her research focuses on causal inference for evidence-based medicine, generative models for medical time-series analysis, and healthcare data analytics. She teaches courses on big data technologies for healthcare problems and healthcare data analytics. Professional Roles & Awards: She has led the Biomedical and Healthcare Analytics Lab at the Institute for Infocomm Research (2014–2015) and currently serves as an Affiliate Scientist at Harvard-MIT. Notable accolades include the MIT Teaching & Learning Laboratory Kaufman Teaching Certificate and recognition as a finalist in MIT’s 2013 Innovation Showcase. Her work has been featured in prominent media outlets like The Straits Times and Channel NewsAsia, highlighting breakthroughs such as AI nurses and Singlish-speaking healthcare assistants. Publications & Impact: Over 50 peer-reviewed publications span AI-driven clinical decision support, medical imaging analysis, and predictive modeling in critical care. Key contributions include frameworks like MedDreamer (reinforcement learning for EHR analysis) and DivScore (LLM-generated text detection). Her research bridges causal inference, generative AI, and scalable healthcare solutions. Labs & Initiatives: As a leader in NUS’s Public Health AI Innovation Center (launching early 2025), she drives initiatives like FxMammo (AI for breast cancer screening) and the Biomedical and Healthcare Analytics Lab. Her work emphasizes ethical AI deployment and cross-disciplinary collaboration in healthcare.

• Biomedical Engineering
• Medical Diagnostics
• Microelectronics
• +۴ مورد دیگر

Professor Pantelis Georgiou holds a faculty position in the Department of Electrical and Electronic Engineering at Imperial College London, leading the Bio-inspired Metabolic Technology Laboratory within the Centre for Bio-Inspired Technology. His research focuses on biomedical electronics, lab-on-chip technology, and micro-electronic medical devices. Key contributions include the bio-inspired artificial pancreas for diabetes treatment and CMOS-based pH sensors for DNA sequencing and infectious disease diagnostics. Education: 1st Class Honours MEng (2004) and PhD (2008) in Electrical & Electronic Engineering from Imperial College London. Professional roles include Head of Lab (2010), IEEE Distinguished Lecturer in Circuits and Systems, and Co-founder/Director of ProtonDx. Research interests span ultra-low power microelectronics, bio-inspired circuits, wearable technologies for chronic conditions, and antimicrobial resistance diagnostics. He has pioneered ISFET sensor integration and developed rapid diagnostic platforms for infectious diseases like dengue and mpox. Notable awards include the IET Mike Sergeant Medal (2013) and IEEE Sensors Council Technical Achievement Award (2017). Current projects involve AI-driven clinical decision support systems, antibiotic stewardship tools, and global health technologies for resource-limited settings. Affiliations include the CRUK Convergence Science Centre, Organ-on-chip Network, and Imperial College Network of Excellence in Malaria. His work bridges engineering and medicine, addressing global challenges through interdisciplinary innovation.

Marcel Gebhardtمشاهده پروفایل

استاد

• Digital Marketing & Sales
• Marketing & Sales Analytics
• Marketing & Sales Biases
• +۳ مورد دیگر

Marcel Gebhardt (born 1987) is a Professor in the Department of General Business Administration at the Faculty of Industrial Engineering, Mannheim University of Applied Sciences since April 2022. His expertise spans B2B Marketing, Technical Sales, and Data-driven Marketing & Sales, with a focus on Digital Sales and Business Performance Methods. University: Mannheim University of Applied Sciences School: Faculty of Industrial Engineering Rank: Professor Research Interests: Digital Marketing & Sales Marketing & Sales Analytics Data-driven Marketing & Sales Cost Management in Industrial Engineering Publications Trends: His research focuses on data-driven approaches in B2B marketing, lead scoring models, cost analysis for engineering changes, and optimization of production systems. His work bridges academic theory with industrial applications, particularly in machine building and laser technologies. Scientific Awards: Dissertationspreis der Péter Horváth-Stiftung (2018) Other Contributions: Gebhardt has served as a researcher and consultant in public and industry-funded projects, including roles at the International Performance Research Institute (IPRI).

Fernando Sánchez-Figueroaمشاهده پروفایل

استاد

• Software Engineering
• Big Data
• Business Intelligence
• +۳ مورد دیگر

Fernando Sánchez-Figueroa is a Full Professor at the University of Extremadura's Department of Computer Systems Engineering and Telematics. He is a co-founder of Homeria Open Solutions, a spin-off engaged in R&D projects under EU frameworks. His research focuses on Software Engineering, Machine Learning, Data Visualization, and Ambient Intelligence. He has authored over 50 scientific articles and led numerous R&D contracts with public and private entities. Key roles include: Academic: Full Professor at University of Extremadura Entrepreneur: Co-founder of Homeria Open Solutions Research: Participation in EU-funded projects and development of AI-driven solutions for healthcare, smart cities, and education Research Interests: Machine Learning applications in healthcare, predictive analytics for education, and sustainable smart city technologies. His work bridges theoretical advancements with practical implementations, such as medical image segmentation using SAM models and cost-efficient UAV systems. Publications: Recent works include decision support systems for employability analysis, zero-shot learning in medical imaging, and recommender systems for education. He emphasizes data-driven approaches and model-driven engineering in software development. Impact: Developed tools like CompareML for preliminary data analysis and LiveSankey for advanced web visualization. His contributions span academia and industry, addressing challenges in healthcare, urban sustainability, and educational technology.

Aris Syntetosمشاهده پروفایل

استاد

• Decision Science
• Supply Chain Forecasting
• Inventory Optimization
• +۱۳ مورد دیگر

Professor Aris Syntetos is a Distinguished Research Professor and DSV Chair of Logistics and Manufacturing at Cardiff Business School, Cardiff University. He is the founder and Director of the PARC Institute of Manufacturing, Logistics and Inventory, which includes the RemakerSpace, and leads the university’s strategic partnership with DSV. Previously, he held faculty positions at the University of Salford and Copenhagen Business School. His research focuses on the integration of forecasting and inventory optimization, particularly in the context of intermittent demand, spare parts, closed-loop supply chains, and additive manufacturing. He is renowned for the Syntetos-Boylan Approximation and the Syntetos-Boylan-Croston classification method. His work is driven by sustainability and social impact, aiming to reduce inventory obsolescence and support circular economies. The 15 most recent publications highlight a strong trend toward integrating forecasting with inventory and maintenance decisions, with increasing emphasis on sustainability, social good, and advanced analytics. His work spans healthcare, automotive, retail, and humanitarian logistics, often employing machine learning and empirical validation. 2024 Goodeve Medal (Operational Research Society) 2016 Cardiff University Outstanding Doctoral Supervisor Award 2016 & 2019 Cardiff University Innovation and Impact Awards He has secured over £5 million in research funding as Principal Investigator from EPSRC, Innovate UK, and the Welsh Government, leading projects on remanufacturing, 3D printing, and sustainable supply chains. He advises major firms like Ocado, BT, and DSV, and his methods are used in commercial software. He supervises PhD students and actively promotes knowledge transfer. He is Editor-in-Chief of the IMA Journal of Management Mathematics and serves as Vice-President of the International Society for Inventory Research (ISIR). He has taught in the UK, China, Colombia, Denmark, France, Greece, Italy, and Latvia, primarily in Operations Management and Applied Statistics.

Bahman Rostami-Tabarمشاهده پروفایل

استاد

• Probabilistic Forecasting
• Time Series Forecasting
• Forecasting for Social Good
• +۱۵ مورد دیگر

Bahman Rostami-Tabar is Professor of Analytics and Decision Sciences at Cardiff Business School, Cardiff University, UK. He is the founder and director of the Data Lab for Social Good and the founder and chair of the Forecasting for Social Good (F4SG) initiative sponsored by the International Institute of Forecasters. He also leads the 'Uncertainty & the Future' theme at the Digital Transformation Innovation Institute. His research spans probabilistic forecasting, operational research, and data science with applications in healthcare, humanitarian logistics, and sustainable development. Research Interests: His work emphasizes transforming data into insights for decision-making under uncertainty. His research is structured into three pillars: (1) Conceptual work on forecasting for social good and the UN Sustainable Development Goals; (2) Methodological innovations in temporal aggregation, hierarchical forecasting, and machine learning for time series; and (3) Applications in healthcare operations, global health, and humanitarian supply chains. He has collaborated with organizations such as the NHS, USAID, ICRC, and JSI. Publication Trends: His recent publications (2023–2025) focus on probabilistic forecasting in healthcare (e.g., emergency department arrivals, trauma networks), hybrid machine learning models for humanitarian demand, and the societal role of forecasting. There is a strong emphasis on real-world impact, with applications in public health, supply chain resilience, and data-driven policy. Scientific Awards: Goodeve Medal, Operational Research Society, UK (2024) Fellowship, Institute of Advanced Studies, Montpellier, France (2024) Public Value Fellow, Cardiff Business School (2021) Associate Fellow, NHS-R community (2021) MIM best paper award (IFAC, 2013) Best Track Paper Award, International Symposium on Industrial Engineering and Operations Management (2017) Supervision and Grants: He actively supervises PhD students in forecasting, healthcare systems, and supply chains. He leads the 'Democratising Forecasting' project, delivering free R-based forecasting training in developing countries. He also chairs the F4SG Research Grant program, awarding $5,000 to researchers in low- and lower-middle-income countries for socially impactful forecasting research. Labs and Teams: He founded and directs the Data Lab for Social Good at Cardiff Business School and leads the international Forecasting for Social Good network, which includes learning labs, hackathons, and a forecasting book club to foster global collaboration.