جست‌وجوی استاد و پژوهشگر

Eryn Wrightمشاهده پروفایل

پژوهشگر

• Public Health
• Mental Health
• Epidemiology
• +۳ مورد دیگر

Dr. Eryn Wright is a Researcher at the School of Public Health, University of Queensland. Her work focuses on public health challenges such as mental health policy, infectious disease epidemiology, and systems modeling of human-bat interactions. She contributes to the National Mental Health Service Planning Framework (NMHSPF), aiming to optimize mental health service delivery in Australia. Education: PhD candidate in Public Health (expected 2025), University of Queensland Her research interests include: - Mental health service planning and evaluation - Epidemiology of zoonotic diseases (e.g., bat-related exposures) - Pandemic response strategies (e.g., Delta variant transmission) - Health equity in survey design and policy implementation Key Research Trends: Dr. Wright’s publications emphasize interdisciplinary approaches to public health challenges, combining systems thinking, data-driven policy analysis, and clinical service evaluation. Recent work highlights the intersection of mental health with global health systems and emerging zoonoses. Grants & Collaborations: Involved in multiple NMHSPF-related projects funded by Australian government health agencies. Collaborates with institutions like Queensland Centre for Mental Health Research and Primary Health Networks. Labs/Teams: Core contributor to the NMHSPF team, focusing on service modeling, data analysis, and regional health planning initiatives.

Gefei Zhangمشاهده پروفایل

استاد

• Data Science
• Software Engineering
• Model-Driven Software Development
• +۳ مورد دیگر

Prof. Dr. Gefei Zhang is a Professor of Media Informatics at HTW Berlin. He holds a Master’s and PhD from Ludwig-Maximilians-Universität München (LMU). His research focuses on Data Science and Software Engineering, with expertise in aspect-oriented modeling, UML state machines, and model-driven development. He teaches software and data science courses and previously contributed to the Programming and Software Engineering Group (PST) at LMU, now part of the Software and Computational Systems Lab (SoSy). Research interests include aspect-oriented programming, web engineering, and adaptive systems. He has published extensively on topics like UML state machines, software metrics, and HiLA framework applications. Awards include the Best Paper Award at AOM@MoDELS'09. Office hours are by appointment. His work bridges academic research and industry, with past roles in software development for large-scale web applications. Collaborations and grants are part of his ongoing contributions to computer science education and innovation.

Ehsan Kamelمشاهده پروفایل

دانشیار

• Building Energy Modeling
• Sustainable Architecture
• Renewable Energy Infrastructure
• +۴ مورد دیگر

Ehsan Kamel is an Associate Professor in the Department of Energy Management at the New York Institute of Technology's College of Engineering and Computing Sciences. He joined the university in 2017 after earning his Ph.D. in Civil Engineering from Pennsylvania State University. His research focuses on building energy modeling, sustainable construction materials, and extraterrestrial habitat design for Mars. He directs the Energy and Green Technologies Laboratory (EnTech Lab), fostering student hands-on experience in energy and green technologies. Kamel has secured over $575,000 in grants from organizations like the National Science Foundation and NYSERDA, advancing energy efficiency and sustainability initiatives. His work bridges academia with industry, addressing real-world challenges in energy systems and climate resilience. Education: Ph.D. in Civil Engineering (Pennsylvania State University, 2017); M.S. in Civil Engineering; Certified Energy Manager (CEM). Research Interests: Building energy modeling integrates physics-based simulations and machine learning to optimize energy use in buildings and urban systems. He explores climate change impacts on energy systems, low-income housing energy burdens, 3D-printed construction, and sustainable materials. His extraterrestrial research models habitats for Mars using Martian climate data and locally sourced materials. Recent Projects: Urban-scale energy modeling with HPC systems, energy burden analysis in low-income households, and Mars habitat simulations. His work has been recognized with awards including the inaugural Trailblazers in Clean Energy (2024) and AEE Energy Innovator of the Year (2023). Grants and Collaborations: Principal investigator for NYSERDA grants ($500,000) and ASHRAE-funded projects. Collaborates with universities globally and energy firms on building efficiency solutions. Manages a research portfolio totaling $575,000 since 2017. Labs/Teams: Directs EnTech Lab, advises ASHRAE student branch, and leads interdisciplinary teams on energy-smart buildings and digital twin technologies.

• Environmental Engineering
• Water Resources Management
• Climate Change Adaptation
• +۷ مورد دیگر

Dr. Aavudai Anandhi is an Associate Professor of Biological Systems Engineering at Florida A&M University. Her research focuses on computational intelligence for modeling ecosystem processes at the food-energy-water (FEW) nexus, addressing environmental changes through systems engineering approaches. Key areas include artificial intelligence applications, spatial statistics, and machine learning for sustainable resource management. Education: Ph.D. in Water Resources and Environmental Engineering, Civil Engineering, Indian Institute of Science (2008) M.Sc. in Irrigation and Water Management, Indian Institute of Science (1995) B.Sc. in Agriculture, Anna University (1992) Research interests emphasize interdisciplinary sustainability solutions, climate change adaptation, and nexus frameworks for resilient ecosystems. Recent work explores land degradation, water footprint assessments, and habitat suitability modeling. Awards and recognitions include the 2018 Teacher of the Year (ASABE), 2017 Florida A&M Emerging Researcher Award, and multiple fellowships for educational innovation and research excellence. Her work bridges climate science with practical decision-making tools for agriculture and water resources. Key contributions include the Ogallala Aquifer Project (USDA Honor Award, 2013) and development of the DIEM framework for habitat threat analysis. She actively engages in educational outreach, creating tools like the 'Leaf Model for Watershed Teaching.'

Faegheh Moazeniمشاهده پروفایل

استادیار

• Mathematical Optimization
• Design Optimization of Critical Infrastructure
• Cybersecurity of Smart Systems
• +۵ مورد دیگر

Faegheh Moazeni is an Assistant Professor in the Department of Civil & Environmental Engineering at Lehigh University. Her research focuses on mathematical optimization, cybersecurity of critical infrastructure systems, and smart city technologies. She leads projects in water-energy nexus systems, resilient microgrids, and data-driven predictive control. Her work integrates machine learning, nonlinear model predictive control (MPC), and cyber-physical security frameworks to enhance infrastructure resilience. Recent efforts include hardware-in-the-loop validation of control systems and stochastic modeling for offshore renewable energy. Key research areas include securing smart water systems against cyberattacks, optimizing energy dispatch in islanded microgrids, and developing adaptive algorithms for real-time operational challenges. Her interdisciplinary approach addresses challenges at the intersection of environmental engineering, control theory, and cybersecurity. Notable contributions include frameworks for detecting cyberattacks in water networks, economic dispatch models for water-energy systems, and stability-guaranteed control architectures for naval and civilian infrastructure.

David A. Dorrمشاهده پروفایل

استاد بالینی

• Collaborative Care
• Chronic Disease Management
• Medical Informatics
• +۶ مورد دیگر

Dr. David A. Dorr is a Clinical Professor at the Oregon Health & Science University (OHSU), School of Medicine , where he serves as the Chief Research Information Officer. His work bridges clinical practice, medical informatics, and artificial intelligence to enhance healthcare delivery for older adults and those with chronic conditions. Residency: Internal Medicine Fellowship: Medical Informatics Certifications: Internal Medicine, Clinical Informatics Dorr’s research focuses on collaborative care, chronic disease management, and clinical information systems , with a strong emphasis on patient safety and longitudinal care models. His projects include AI-driven diagnostics , multimorbidity analysis , and data-sharing frameworks to improve population health. Recent publications highlight his contributions to voice AI research, EHR optimization, and multimorbidity progression . Key themes include predictive analytics , telehealth stigma mitigation , and enterprise data warehouse maturity . His work often intersects with learning health systems and health equity . Scientific Awards: AMIA New Investigator Award (2007) Dorr leads the Care Management Plus research team and co-directs the Center for AI-Enabled Learning Health Science , advancing interdisciplinary initiatives in health informatics and patient-centered care . His grants focus on data-sharing infrastructure and Clinical Decision Support (CDS) development.

Thomas J. Santnerمشاهده پروفایل

استاد

• Design of Experiments
• Computer Simulations
• Statistical Selection and Screening
• +۳ مورد دیگر

Thomas J. Santner is a Professor in the Department of Statistics at Ohio State University. His research focuses on experimental design, particularly in integrating computer simulations with physical experiments. He co-authored influential books including *The Design and Analysis of Computer Experiments* (Springer, 2019) and *The Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons* (Wiley, 1995). His work bridges statistics and engineering, addressing challenges in prosthesis design, biomedical systems, and industrial processes. Notably, he collaborates with the Hospital for Special Surgery on bone-implant systems and biomaterials research. Education: Ph.D., Purdue University, 1973. Research interests include: Computer experiments and hybrid simulation-physical experimentation Statistical selection and screening methodologies Applications in biomedical engineering and manufacturing optimization Uncertainty quantification in finite element models Recent work emphasizes optimizing complex systems through calibrated simulators, with applications in injection molding processes and joint replacement design. His articles demonstrate methodological contributions to design efficiency, sensitivity analysis, and multiobjective optimization. Prior roles include former Director of the Department of Statistics' Consulting Service and former Department Chair at Ohio State University.

Mahdi Mahdaviمشاهده پروفایل

مدرس ارشد

• Health Services Management
• Health Policy Analysis
• Healthcare Operations Management
• +۴ مورد دیگر

Mahdi Mahdavi is a Senior Lecturer at Roehampton Business School (University of Roehampton) and a Bernard Lown Scholar at Harvard T.H. Chan School of Public Health. He holds a PhD in Health Services Management from Erasmus University Rotterdam (2015). His academic journey includes roles as Assistant Professor of Health Policy at Tehran University of Medical Sciences (2016-2022), Research Fellow at London South Bank University (2022-2024), and current affiliations at Roehampton and Harvard. Education: PhD in Health Services Management (Erasmus University, 2015), MSc in Health Services Management. His research focuses on strengthening health systems through operations management, chronic disease policy (hypertension, diabetes), and evidence-informed health policymaking. He designs improvement plans for healthcare organizations and evaluates health services delivery models. Research trends emphasize healthcare operations and outcomes linkages, AI in cardiac care, and cross-country health system comparisons. Notable projects include the EASE study on AI-driven echocardiography analysis and cost-effectiveness studies of hypertension control. Awards: Bernard Lown Scholar (2020–present). Funders include European Commission, NHS, and Harvard’s Lown Programme. He has published 9 peer-reviewed articles and book chapters, focusing on operational healthcare frameworks and policy analysis. Advising and grants: PI/CoI on 5 research projects (2010–2024) covering diabetes care models, hypertension inequity analysis, and healthcare operations research. Collaborations span Europe, Iran, and the US. His work emphasizes public engagement and translating research into actionable policy. Labs/Teams: Involved in the Cardiovascular Health Programme at Harvard, and quality improvement teams in European and Iranian healthcare systems.

Robert Mandersonمشاهده پروفایل

مدرس ارشد

• Information Systems
• Business & Industry
• Education Technology
• +۷ مورد دیگر

Robert Manderson is a Senior Lecturer in the University of Roehampton Business School, specializing in information systems, project management, and business research. He holds a B.Sc., Dip.Sc., M.Sc., and is a Fellow of the Higher Education Academy and PRINCE2 Registered Practitioner. His career spans software engineering at BAE Systems and academic research roles at Lancaster University and Manchester University, funded by EPSRC and BT Plc. External Examiner roles at York Business School (2020–2024), Glyndwr University (2013–2016), and University of West London (2011–2015) Member of British Academy of Management and IEEE Research interests focus on ICT in business, Cloud computing, Big Data, education technology, and employability. He contributes to textbooks on Management Information Systems and regularly reviews conference papers. Current projects explore Fintech regulation, aerospace IT innovation, and social media's role in student employability. Key awards: Fellow of HEA, PRINCE2 Certifications Teaching areas include data analytics, PRINCE2/Agile methodologies, and Adobe Creative Cloud. He has advised on modules across computing and business programs, emphasizing ICT's role in organizational success.

Diego Sevilla Ruizمشاهده پروفایل

دانشیار

• Software Engineering
• Database Systems
• NoSQL Technologies
• +۳ مورد دیگر

Diego Sevilla Ruiz is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Computer Engineering and Technology, where he leads initiatives in Software Engineering research. He completed his PhD in 2008 on distributed component models (CORBA-LC). His research focuses on database technologies, particularly schema evolution in NoSQL and relational databases, model-driven engineering approaches, and unified metamodeling. Recent work develops Skiql (a schema query language), Athena (schema definition language), and methodologies for referential integrity in graph databases. His publications advance database abstraction techniques, schema migration frameworks, and automated tools for database management and modernization.

• Energy Storage Systems
• Materials Science
• Electrochemistry
• +۳ مورد دیگر

Rohit Bhagat is a Professor and Centre Director at the Centre for E-Mobility and Clean Growth. His research focuses on advancing energy storage technologies, particularly lithium-ion batteries, through material science innovations and real-time monitoring systems. Key areas of interest include battery degradation mechanisms, sensor integration for diagnostics, and environmental impact assessments of battery production. Research highlights include developing predictive models for lithium plating detection using machine learning, investigating electrolyte degradation under elevated temperatures, and optimizing cathode materials for zinc-ion batteries. He has led projects such as the British Council MRes scholars initiative in STEM, emphasizing interdisciplinary collaboration. Bhagat’s work spans experimental design methodologies for battery modeling, thermal management strategies, and life cycle assessments. His contributions address critical challenges in battery safety, longevity, and sustainability, with applications in electric vehicles and renewable energy systems.

Massimiliano Bonacchiمشاهده پروفایل

استاد

• Financial Reporting
• Managerial Accounting
• Corporate Social Responsibility
• +۳ مورد دیگر

Massimiliano Bonacchi is a Full Professor in Accounting at the University of Bolzano (unibz), Faculty of Economics and Management. He holds a PhD and graduated from the University of Florence. He has served as a visiting professor at NYU Stern School of Business and Baruch College CUNY. His research focuses on financial reporting, managerial accounting, corporate social responsibility, and financial statement analysis. He has published extensively in peer-reviewed journals such as Contemporary Accounting Research and Management Accounting Quarterly. Education: PhD in Accounting, University of Florence Undergraduate Degree, University of Florence Research Interests: Financial Reporting and Disclosure Managerial Accounting Practices Sustainability and Corporate Social Responsibility Impact of Pandemics on Financial Communication Recent Research Trends: Professor Bonacchi’s recent work emphasizes the effects of fair value accounting on corporate debt structures, strategic disclosure behaviors of private firms, and the integration of customer analytics into performance measurement systems. His 2024 studies on fair value accounting and customer-centric frameworks highlight cutting-edge contributions to accounting theory and practice. Advising & Grants: While no specific advisees or grant details are listed, his extensive publication record indicates active involvement in doctoral supervision and research funding. Courses taught include Advanced Financial Statement Analysis and Italian Accounting Standards at the Master and Bachelor levels. Labs/Teams: Collaborates with international institutions like NYU and CUNY, focusing on cross-cultural accounting practices and sustainability initiatives.

Danijela Tadićمشاهده پروفایل

استاد

• Production Engineering
• Industrial Engineering
• Decision-Making Models
• +۵ مورد دیگر

Danijela Tadić is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac, Serbia. Her primary research focuses on decision-making models under uncertainty, manufacturing process optimization, failure mode analysis, and sustainable recycling technologies in the automotive and industrial sectors. She holds a leadership role in the Faculty of Engineering, contributing to academic governance and curriculum development. Her scientific work integrates fuzzy logic systems, multi-criteria decision-making (MCDM), and optimization algorithms to address complex engineering challenges. Notable areas include risk management in supply chains, quality improvement in manufacturing processes, and environmental impact assessment of recycling equipment. She has collaborated on projects evaluating organizational resilience, strategic failure management, and resource planning in SMEs. Prof. Tadić’s publications emphasize practical industrial applications, such as PFMEA integration with fuzzy decision tools, cloud platform selection frameworks, and electric vehicle evaluation models. Her work bridges theoretical advancements in fuzzy set theory with real-world manufacturing and environmental sustainability problems. She actively participates in academic and professional networks, contributing to conferences and journals in production engineering and industrial systems. Her expertise spans project lifecycle management, lean manufacturing, and the evaluation of recycling technologies for end-of-life vehicles (ELVs).

Shiwen Maoمشاهده پروفایل

استاد

• Wireless Networks
• Multimedia Communications
• RF Sensing
• +۴ مورد دیگر

Shiwen Mao is a Professor and Earle C. Williams Eminent Scholar Chair at Auburn University's Department of Electrical and Computer Engineering. He serves as Director of the Wireless Engineering Research and Education Center. His education includes a Ph.D. in Electrical Engineering from Polytechnic University, M.S. in Systems Engineering, and dual B.E. degrees in Electronic Engineering and Enterprise Management from Tsinghua University. Research interests span wireless networks, multimedia communications, RF sensing for healthcare IoT, smart grid systems, and machine learning applications. Mao's work focuses on transforming edge intelligence, 6G systems, drone localization, and AI integration for next-generation networks. Recent publications demonstrate strong trends in AI-driven wireless communications, satellite-terrestrial networks, cybersecurity applications of large language models, and generative AI for wireless sensing. Awards and Honors: IEEE Communications Society's Best Paper Award (2021) IEEE Jack Neubauer Memorial Award (2020) Multiple National Science Foundation grants including a $300K award for 6G systems research Best Paper and Best Demo awards from IEEE conferences As Director of the Wireless Engineering Research and Education Center, Mao leads collaborative research involving over 20 faculty members addressing real-world communication challenges. The center develops solutions integrating drone technology, millimeter wave communications, and AI for future wireless systems.

• Automation Engineering
• Robotics
• Materials Science
• +۳ مورد دیگر

Andrés Suárez García is an Assistant Professor at the University of Vigo's Department of Systems and Automation Engineering. His teaching includes courses on Systems and Control Engineering, Industrial Computing, Robotics, and Automation Fundamentals. He has consistently taught across multiple academic years from 2014/2015 to 2024/2025, covering disciplines like structural mechanics, fluid dynamics, and manufacturing quality control. His research focuses on interdisciplinary engineering applications, emphasizing automation, robotics, additive manufacturing, and energy systems. Notable projects include optimizing 3D printing parameters, analyzing lithium-ion battery health using machine learning, and developing IoT-based educational platforms. He also explores naval and military engineering challenges, such as energy storage for submarines and structural design for space exploration vehicles. Over 20+ supervised final-year projects highlight his mentorship in cutting-edge technologies like piezoelectric energy harvesting, supercapacitor integration in military vessels, and AI-driven anomaly detection in maritime routes. His work bridges theoretical engineering principles with practical applications in defense, environmental monitoring, and sustainable infrastructure.