جست‌وجوی استاد و پژوهشگر

• Global Governance
• International Organizations
• Sustainability
• +۴ مورد دیگر

Matthias Kranke is Junior Professor for Global Sustainability Governance at the Institute for Socio-Economics, Faculty of Social Sciences, University of Duisburg-Essen, within the College for Social Sciences and Humanities of the University Alliance Ruhr. His research critically examines global governance structures through socioeconomic and socioecological lenses. His educational background includes: PhD in Politics and International Studies, University of Warwick (2013-2018) MA in International Relations, Macquarie University, Sydney (2008-2009) MA in Political Science, Economics and Modern History, University of Trier (2002-2008) Kranke's research centers on the political economy of global governance, with particular focus on international organizations' role in sustainability transitions. His work interrogates how quantification practices, forecasting techniques, and indicator systems shape policy spaces and power dynamics in post-growth paradigms. He critically analyzes boundary work within international bureaucracies and the anticipatory governance of global challenges like debt sustainability and ecological transformation. Analysis of his 2021-2025 publications reveals dominant themes in post-growth political economy, anticipatory governance, and the politics of measurement. His work bridges International Relations, Political Economy, and Science and Technology Studies, demonstrating how international organizations produce knowledge that legitimizes specific policy pathways while marginalizing alternatives. The publications consistently examine power dynamics in global governance through empirical studies of IMF-World Bank interactions, sustainability indicators, and future-oriented policymaking. His scientific recognition includes: Best Graduate Student Paper Award, International Political Economy Section, International Studies Association (2017) Vice-Chancellor's Commendation for academic excellence, Macquarie University (2009) No formal advising roles or grant information is publicly documented, though his work connects to the Research Alliance Ruhr and third-party funded projects at the Institute for Socio-Economics. His research appears embedded within collaborative networks examining socio-ecological transformation and inequality, as evidenced by co-authored working papers and participation in the Doctoral Program 'Political Economy of Socio-Ecological Transformation'.

Abderrahim Oulhajمشاهده پروفایل

استاد

• Biostatistics
• Epidemiology
• Public Health
• +۱۰ مورد دیگر

Abderrahim Oulhaj serves as a Professor of Biostatistics and Epidemiology in the Department of Public Health and Epidemiology at Khalifa University, bringing over 28 years of academic and research experience. His prior roles include eight years as Associate Professor at United Arab Emirates University (UAEU) where he directed the PhD program in Public Health, and nearly a decade as a senior statistician at University of Oxford leading projects like OPTIMA and EXSCEL. His educational background includes: PhD in Statistics (2003) from the Institute of Statistics, Biostatistics and Actuarial Sciences, UCL, Belgium Master degree in Statistics (1997) from the Institute of Statistics, Biostatistics and Actuarial Sciences, UCL, Belgium Prof. Oulhaj specializes in statistical modeling for infectious and chronic diseases—including diabetes, cardiovascular disorders, cancer, neurodegenerative conditions, COPD, and COVID-19—with methodological expertise in advanced survival analysis, risk prediction modeling, longitudinal data analysis, and joint modeling of repeated measures with time-to-event data. His work increasingly integrates artificial intelligence, machine learning, and deep learning into healthcare analytics. He has received multiple research excellence awards from UAE University and Khalifa University, alongside three international patents and copyrights focused on Alzheimer’s and cardiovascular diseases. Prof. Oulhaj directed UAEU's PhD program in Public Health and currently leads the KU-SEHA Clinical Research Certificate Program training 150+ medical professionals across Abu Dhabi. His grant leadership encompasses the EU-funded POCCardio project on cardiovascular diseases and the European Society of Cardiology's Cardiovascular Risk Collaboration Unit, with significant contributions to UAE national committees for therapeutic trials, epidemiology, diagnostics, and cardiovascular prevention guidelines. He operates within international research frameworks through POCCardio and the European Society of Cardiology, while maintaining strategic ties with the UAE Department of Health and SEHA for clinical research capacity building.

• Environmental Fluid Mechanics
• Sustainability
• Renewable Energy
• +۵ مورد دیگر

Edwin Cowen is a Professor in the Department of Civil and Environmental Engineering at Cornell University's College of Engineering. He serves as Director of the DeFrees Hydraulics Laboratory and previously held the Kathy Dwyer Marble and Curt Marble Faculty Director for Energy position at the Atkinson Center for Sustainability (2013-2018). Cowen joined Cornell in 1997 after earning a B.S. in Civil Engineering from Brown University (1987) and M.S. (1991) and Ph.D. (1997) in Civil Engineering from Stanford University. His research focuses on experimental and observational studies in environmental fluid mechanics, with five core themes: environmental transport processes, water wave dynamics, lake hydrodynamics, energy harvesting, and quantitative imaging techniques. He develops novel experimental methods and facilities to study phenomena like scale-dependent dispersion, wave-structure interactions, sediment suspension, and kinetic energy harvesting. Key application areas include sustainability, renewable energy systems, and water resource management. His recent projects analyze San Francisco Bay Delta surface turbulence for juvenile fish transport, optimize turbine arrays for energy harvesting, explore pre-tensioned wave-like ribbons for mechanical energy capture, and investigate environmental DNA transport in Cayuga Lake. Scientific Awards: James and Mary Tien Excellence in Teaching Award (2013) Graduate and Professional Student Assembly Teaching/Advising Award (2012) Chi Epsilon Professor of the Year (2010) Guggenheim Memorial Foundation Fellow (2004) NSF CAREER Award (2001) As an NSF-sponsored collaborator with Avangrid, Cowen works on residential electric storage systems for grid flexibility and renewable integration. He also contributes to Cornell's sustainability initiatives through the Lake Source Cooling Technical Advisory Committee and Earth Source Heat project steering team.

Silvia Santa Maria Newellمشاهده پروفایل

استاد

• Nutrient Biogeochemistry
• Microbial Ecology
• Harmful Algal Blooms (HABs)
• +۴ مورد دیگر

Silvia Santa Maria Newell serves as Director of Michigan Sea Grant and Professor at the University of Michigan School for Environment and Sustainability (SEAS), where she leads critical research on freshwater ecosystems. Her work bridges academic scholarship with practical environmental management through federal partnerships and stakeholder engagement initiatives focused on the Great Lakes region. Education Ph.D. in Geosciences, Princeton University M.A. in Geosciences, Princeton University A.B. in Biogeochemistry, Smith College Newell specializes in nutrient biogeochemistry and microbial ecology, with primary focus on how excess nutrients from agricultural and wastewater sources drive harmful algal blooms (HABs) in freshwater systems. Her research integrates field studies of nitrogen cycling, mercury methylation processes, and climate change impacts on eutrophication. She develops stakeholder-driven solutions for nutrient reduction in watersheds through interdisciplinary collaboration with farmers, policymakers, and environmental managers. Analysis of her 15 most recent publications reveals dominant research themes in Great Lakes HABs mitigation, nutrient cycling dynamics (particularly nitrogen-phosphorus interactions), and emerging contaminants like mercury. Her work consistently connects microbial processes to ecosystem-scale phenomena, with strong emphasis on practical applications for water resource management across North American and international freshwater systems. Scientific Awards Excellence in Grantsmanship (2022) for securing $1M+ research funding AGU Top 10 Most Downloaded Paper (2021) Limnology & Oceanography Outstanding Reviewer (2021) ASTRA Fellow, Estonia Education (2019-2020) Newell actively mentors the next generation of environmental scientists as primary advisor to PhD candidates Berk Durutürk and Ran Jin, and Master's student Monica Woodruff. Her current $1.2M+ research portfolio includes NSF-funded projects on Lake Erie HABs mitigation (DISES CHABS: $150K), mercury-nitrogen cycling interactions (GEOTRACES: $378K), and Ohio wetland monitoring (H2Ohio: $500K). She directs major collaborative initiatives including the Great Lakes Commission HABs Collaboratory and Lake Erie Area Research Network. As Director of Michigan Sea Grant, Newell oversees a federal-state partnership that funds research, outreach, and education programs addressing critical Great Lakes challenges. Her leadership connects university resources with community stakeholders through the Maumee River watershed engagement project and international collaborations studying nutrient pollution impacts from Lake Erie to Lake Taihu in China.

Zahra Mohagheghمشاهده پروفایل

استاد

• Probabilistic Risk Assessment (PRA)
• Socio-Technical Risk Analysis
• Human-System Reliability
• +۴ مورد دیگر

Zahra Mohaghegh is a Professor and Donald Biggar Willett Faculty Scholar in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois Urbana-Champaign. She directs the Socio-Technical Risk Analysis (SoTeRiA) Research Laboratory , focusing on advancing risk science for complex systems like nuclear power plants, advanced reactors, civil aviation, and oil industries. Her work integrates probabilistic risk assessment (PRA), probabilistic physics of failure, human-system reliability, AI trustworthiness, uncertainty analysis, and risk-informed policymaking, supported by grants from DOE, NSF, NRC, and IAEA. Academic Positions: Professor (2025–present), Associate Professor (2020–2025), Assistant Professor (2013–2020), Part-Time Faculty at Beckman Institute (2015–present) Her research explores socio-technical systems through hybrid models combining technical systems with organizational factors, earning awards like the NSF Mid-Career Achievement Award and American Nuclear Society's Mary Jane Oestmann Professional Women's Achievement Award. She has contributed to U.S. National Academies committees on transport airplane risk assessment and Coast Guard compliance programs. Recent publications focus on spatiotemporal risk modeling, fire PRA advancements, human-digital twin interactions, and AI integration in nuclear safety. Her work emphasizes reducing false negatives in screening analysis, validating simulation models, and connecting safety with financial performance through probabilistic physics of failure. She actively collaborates with academia, industry, and regulators, including DOE's Carbon Free Power Project and OECD-NEA's NEST SMR initiative. Scientific Awards: National Science Foundation Mid-Career Achievement Award Dean's Award for Excellence in Research (Assistant and Associate levels) George Apostolakis Award in risk assessment American Nuclear Society Mary Jane Oestmann Professional Women's Achievement Award She serves on the Board of Directors for the International Association for Probabilistic Safety Assessment and Management (IAPSAM) and acts as a technical advisor to the U.S. National Academies on risk assessment methodologies.

Yuhan Jiangمشاهده پروفایل

استادیار

• Artificial Intelligence in Architecture Engineering Construction and Operations
• Robotics and Remote Sensing
• Computer Vision and Machine Learning
• +۷ مورد دیگر

Dr. Yuhan Jiang is an Assistant Professor in the Department of Built Environment at North Carolina A&T State University's College of Science and Technology. He serves as the Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC). Dr. Jiang leads a multidisciplinary research team focused on integrating robotics, artificial intelligence, and Building Information Modeling in construction operations and infrastructure management. Ph.D. in Civil Engineering from Marquette University M.M. in Construction Management from Guangzhou University Additional Construction Management degree from Guangzhou University Dr. Jiang's research primarily focuses on artificial intelligence applications in architecture, engineering, construction, and operations (AECO). His work integrates robotics and remote sensing for data collection, computer vision and machine learning for data processing, and BIM, GIS, and AR/VR for data visualization. His research enables more efficient construction operations, building inspection, and infrastructure management. Additionally, he has extensive experience in community redevelopment planning and complex systems simulation, including investigating urban village formation mechanisms. Analysis of Dr. Jiang's recent publications reveals a strong focus on applying drone technology, computer vision, and deep learning to construction and infrastructure challenges. His work spans multiple domains including façade modeling, pavement evaluation, sidewalk inspection, earthwork calculation, and 3D reconstruction. A consistent theme across his research is the development of automated systems that improve efficiency, accuracy, and safety in construction and infrastructure management through AI and robotics. N.C. A&T and CoST Junior Faculty Teaching Excellence Award 2024-25 N.C. A&T and CoST Rookie Researcher of the Year Award 2024 ASCE Journal of Architectural Engineering Best Paper Award 2022 ASCE CI & CRC Joint Conference Best Paper Award 2024 AAAS HBCU Making and Innovation Showcase 1st Place 2024 CoST SciTech Week Innovation Challenge awards (2023-2025) N.C. A&T Provost's Faculty Fellow (2023 & 2024) Dr. Jiang has successfully secured over $4.5 million in research funding as PI or Co-PI, including a $2.5 million HUD Center of Excellence grant. He has mentored students who won 1st and 3rd place in the 2023 & 2024 Sci-Tech Week Innovation Challenge competitions and 1st place at the 2024 AAAS HBCU Making and Innovation Showcase. His funded projects span AI-driven BIM education tools, smart farming with robotics, drone-based façade modeling, and digital twin applications for infrastructure management. As Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC), Dr. Jiang leads a multidisciplinary team focused on innovative approaches to affordable housing and sustainable community development. His lab work integrates drone technology, computer vision, and AI to create practical solutions for real-world construction and infrastructure challenges.

Charith Mendisمشاهده پروفایل

استادیار

• Compilers
• Programming Languages
• Machine Learning for Systems
• +۳ مورد دیگر

Charith Mendis is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign, with joint appointments in the Department of Computer Science, Electrical and Computer Engineering, and the Coordinated Science Lab. His research focuses on the intersection of compilers, program optimization, and machine learning systems. Dr. Mendis received his educational background from prestigious institutions: Ph.D. in Computer Science from Massachusetts Institute of Technology (2020) S.M. in Computer Science from Massachusetts Institute of Technology (2015) B.Sc. in Electronics and Telecommunication Engineering from University of Moratuwa (2013) His primary research interests center around compiler technology and machine learning systems. Mendis leads the ADAPT lab at UIUC, where his team works on creating high-performance ML optimization techniques and automated compiler construction using machine learning and formal methods. His work bridges the gap between traditional compiler design and modern machine learning approaches, with applications in tensor compilers, graph neural networks, and sparse computation. He has developed novel frameworks for optimizing deep learning workloads, verification of compiler transformations, and performance modeling for emerging hardware architectures. Mendis has established himself as a leading researcher in compiler optimization for machine learning systems, with a particular focus on tensor compilers, graph neural networks, and performance modeling. His recent publications demonstrate increasing sophistication in combining formal methods with machine learning techniques to solve challenging problems in compiler optimization and verification, with multiple papers accepted at top-tier conferences including OOPSLA, PLDI, POPL, and SIGMOD. His notable scientific achievements include: Google ML and Systems Junior Faculty Award (2025) DARPA Young Faculty Award (2024) NSF CAREER Award (2024) Distinguished Paper Award at POPL (2025) William A. Martin Thesis Award for Outstanding SM thesis, MIT (2015) Multiple teaching excellence awards at UIUC (2021-2023) Dr. Mendis actively mentors students through the ADAPT lab, offering research opportunities for undergraduates, master's students, and PhD candidates interested in compiler technology and machine learning systems. His research is supported by significant funding from the ACE center (part of JUMP 2.0), National Science Foundation (NSF), DARPA, IIDAI, and industry partners including Google, Intel, Amazon, and Qualcomm. He teaches advanced courses in compiler construction and machine learning for compilers. He leads the ADAPT lab at UIUC, which focuses on developing advanced compiler technologies for modern machine learning workloads. The lab maintains active collaborations with industry partners and has established itself as a leading research group in compiler optimization for AI systems. Current projects include tensor compilers, graph neural network optimization, and automated verification of deep learning systems.

• Organizational Behavior
• Innovation Management
• Strategic Management
• +۵ مورد دیگر

Prof. Dr. Torsten-Oliver Salge is a University Professor and Co-Director of the Institute for Technology and Innovation Management (TIM) at RWTH Aachen University, where he heads the Innovation, Strategy and Organisation (ISO) Group since April 2013. He also serves as a Fellow of Cambridge Digital Innovation at the University of Cambridge, maintaining strong international academic connections. His work bridges theoretical organizational research with practical applications across multiple sectors. Salge completed his business administration studies across multiple European countries including Germany, France, Italy, and England. He earned both his Ph.D. and M.Phil. degrees from the University of Cambridge. His academic journey includes positions as interim professor at the University of Duisburg-Essen (2012-2013), junior professor at the Ruhr-University Bochum (2009-2012), and post-doctoral research associate at Cambridge (2009). His research focuses on organizational behavior in innovation contexts , particularly examining collaboration across disciplinary, organizational, and institutional boundaries. He investigates how organizations learn from performance feedback, approach problem-solving, and implement strategic HRM practices that enhance employee well-being. A distinctive feature of his work is the examination of technology legitimation, adoption processes, and payoff realization in complex organizational settings. His research combines behavioral and institutional perspectives to understand innovation processes. Analysis of Salge's publication record reveals a strong emphasis on healthcare innovation management, with numerous studies examining hospital information systems, infection control, and healthcare service improvement. His work often applies dynamic capabilities theory to innovation processes and demonstrates methodological sophistication through both quantitative and qualitative approaches. The publications show consistent contributions to top-tier management journals including Academy of Management Review , MIS Quarterly , and Journal of Product Innovation Management . Scientific Recognition: Nominated for European Research Paper of the Year 2016 (CIONET) Multiple Best Paper awards at Academy of Management conferences across various divisions Shortlisted for Strategic Management Society (SMS) Best Conference Paper Awards Recipient of prestigious scholarships including ESRC, DAAD, and Cambridge European Trust funding Recognized with the Knut Holt Best Paper Award from ISPIM Throughout his career, Salge has maintained active collaborations with organizations across healthcare, central government, and financial services sectors. His international scholarly network is evidenced by visiting appointments at universities in Auckland, Buenos Aires, Cambridge, Oxford, and Philadelphia. At RWTH Aachen, he leads an interdisciplinary team within the TIME Research Area, which comprises over 100 senior and junior researchers working at the intersection of innovation, technology management, marketing, and entrepreneurship. As Co-Director of the RWTH TIM institute, Salge oversees a research unit with approximately 30 doctoral candidates, 5 postdocs, and more than 20 student researchers. The institute maintains strong industry connections and focuses on strategic technology management, open innovation, innovation culture, organizational change, business model development, and customer-oriented value creation.

• Media Economics
• Artificial Intelligence in Communication
• Film and Audiovisual Studies
• +۲ مورد دیگر

Dr. Mei Nan is an Associate Professor in the Department of Communication at Tongji University's School of Art and Media. With a career spanning since 2004, she previously held positions at Chang'an University before joining Tongji in 2017. Her academic credentials include a Master's from Shaanxi Normal University, postgraduate studies at Communication University of China, and ongoing doctoral research at Xi'an Jiaotong University's School of Economics and Finance. Research Expertise Her research bridges media economics, AI-driven communication paradigms, and film studies, with specific focus areas including: Media economics and corporate governance interactions Artificial intelligence's impact on communication theory Film/audiovisual language analysis Media culture evolution Marketing models in digital ecosystems Teaching Portfolio Dr. Nan teaches both undergraduate courses ( Audiovisual Language, Chinese/Foreign Film History, Media Culture, Chinese Film Appreciation ) and graduate seminars ( Intelligent Communication Theory and Practice ). Her pedagogical approach integrates contemporary media developments with theoretical foundations. Awards and Grants Tongji University Hongda Award (2021) Tongji Cup General Education Course Paper Competition Teaching Teacher Excellent Organization Award (2021) Principal Investigator: Shanghai Philosophy and Social Science Planning Project (2018BGL025) studying media impact on corporate recovery

William R. Cluettمشاهده پروفایل

استاد

• System Identification
• Process Control
• Systems Biology
• +۴ مورد دیگر

William R. Cluett is a Professor at the University of Toronto's Department of Chemical Engineering & Applied Chemistry within the Faculty of Applied Science and Engineering. He holds a B.Sc. from Queen’s University and a Ph.D. from the University of Alberta, and is a licensed Professional Engineer (P.Eng). Currently serving as Dean’s Advisor on Innovations in Undergraduate Education, Cluett bridges engineering principles with systems biology in his research. B.Sc., Queen’s University Ph.D., University of Alberta Cluett's research spans traditional process control and design, extending into systems biology where he collaborates with Professor Krishna Mahadevan. His work focuses on integrating engineering methodologies with biological systems, including multiscale modeling, dynamic metabolic engineering, and computational toxicology. His publications highlight trends in applying control theory to metabolic networks, developing algorithms for genome-scale modeling, and designing bistable cell factories. These contributions reflect interdisciplinary efforts between chemical engineering and computational biology. Scientific Awards & Recognitions: Fellow of Engineers Canada (2021) Medal for Distinction in Engineering Education (2021) OCUFA Teaching Award (2020) President’s Teaching Award (2018) Sustained Excellence in Teaching Award (2016) Bill Burgess Teacher of the Year Award (2014) Fellow, AAAS (2009) Fellow, Chemical Institute of Canada (1998) Syncrude Canada Innovation Award (1997) Cluett has contributed to major grants and collaborative projects in systems biology and metabolic engineering. He actively advises on undergraduate education innovations and maintains strong affiliations with the Department of Chemical Engineering & Applied Chemistry.

Shweta Singhمشاهده پروفایل

استادیار

• Artificial Intelligence
• Responsible AI
• Explainable AI
• +۷ مورد دیگر

Dr. Shweta Singh serves as an Assistant Professor of Information Systems and Management at Warwick Business School, University of Warwick. She concurrently holds prestigious appointments as a Fellow at the Warwick Institute for Global Sustainability Development (IGSD) and a Behavioral Data Science researcher at The Alan Turing Institute in London. Her academic journey includes a Ph.D. in Information and Decision Sciences from the Carlson School of Management at the University of Minnesota, complemented by dual Master's degrees in Computer Science and Applied Economics from the same institution. Ph.D. in Information and Decision Sciences, University of Minnesota Master's in Computer Science, University of Minnesota Master's in Applied Economics, University of Minnesota Dr. Singh's research centers on developing ethical and responsible artificial intelligence systems that address societal challenges. Her work specifically targets mitigating AI bias, creating explainable AI frameworks, and leveraging technology to combat societal injustice. She investigates how digital platforms, sharing economy models, and IT outsourcing create business value while ensuring these technologies promote sustainability and reduce inequalities. Her innovative approach combines technical AI expertise with deep social awareness, particularly focusing on gender equality and child protection in digital spaces. Her publication record demonstrates consistent high-impact contributions to Information Systems Research, International Conference on Information Systems, and related venues. The trajectory of her work shows increasing focus on practical applications of responsible AI, with recent projects addressing online child safety and human trafficking prevention. Her research increasingly intersects with policy development, as evidenced by her contributions to UK Parliamentary Office of Science and Technology briefs. Doctoral Dissertation Fellowship, University of Minnesota McNamara Fellowship, University of Minnesota Social Impact Project of the Year shortlist (2023) Asian Women of Achievement Award finalist (2023) British Indian Awards finalist (2019) Top 5 Women in Tech for Good Award shortlist (2022) Inspiring 50 UK recognition (2025) Dr. Singh actively mentors students and has been recognized with the Staff Social Inclusion Award (2024) for her teaching excellence. Her advisory roles extend beyond academia to include the UN Women UK delegation for the Commission on the Status of Women and the Advisory Board of AI retail company 'Love the Sales'. She serves as an external collaborator for Boston Consulting Group's Henderson Institute, bridging academic research with industry applications. Through her leadership in the ISM-Analytics (ISMA) Group at Warwick, Dr. Singh fosters interdisciplinary collaboration focused on creating socially responsible technological solutions. Her work with the IGSD specifically targets UN sustainability goals related to reducing inequalities and promoting inclusive societies through responsible AI implementation.

• Physical geography
• Environmental geoscience
• Glaciology
• +۵ مورد دیگر

Summer Rupper is a Professor at the School of Environment, Society & Sustainability at the University of Utah, where she has held her position since July 2019. Her research focuses on understanding the interactions between climate, glaciers, and water resources, with particular emphasis on high mountain regions including High Mountain Asia, the Himalayas, and polar regions. She leads multiple research projects examining glacier dynamics, hydrological processes, and climate change impacts on water security for downstream populations. BS in Geology from Brigham Young University (2001) MS in Geology from University of Washington (2004) PhD in Earth and Space Sciences from University of Washington (2007) Professor Rupper's research spans physical geography, environmental geoscience, and climate change science, with specific expertise in glaciology, hydrology, and atmospheric sciences. Her work integrates field measurements, remote sensing, and numerical modeling to understand glacier dynamics, snow processes, and water resource availability in mountainous regions. She has particular expertise in High Mountain Asia, where glaciers provide critical water resources for over a billion people. Her research addresses fundamental questions about glacier response to climate change, hydrological partitioning, and the implications for water security in vulnerable regions. Her recent publications demonstrate a consistent focus on understanding glacier dynamics, hydrological processes, and climate interactions in mountainous regions. The work spans multiple methodologies including remote sensing analysis, numerical modeling, statistical approaches, and field-based measurements. Key themes include glacier melt contributions to river systems, precipitation patterns in complex terrain, snow density modeling, and the impacts of climate change on water resources in High Mountain Asia and polar regions. Her research often integrates multiple data sources and approaches to address complex questions about cryospheric processes and their societal implications. Superior Research Award (2024, CSBS, University of Utah) G.K. Gilbert Award for Excellence in Geomorphic Research (2022) Outstanding Utah Higher Education Science Teacher (2021) Top Researcher Award, Celebrate U showcase (2017) Antarctic Service Medal (2010, USAF) Professor Rupper actively mentors graduate students through thesis research courses at both the PhD and Master's levels, as well as individual projects. She has secured significant research funding from multiple federal agencies including NSF, NASA, and USAID, with current projects examining climatic controls on Antarctic ice sheets, glacier dynamics in High Mountain Asia, and historical glacier changes. Her collaborative work extends across international boundaries, working with scientists in Pakistan, Bhutan, and other regions to address shared water security challenges. She also engages in community outreach through workshops with school districts and science teacher associations to communicate climate science to broader audiences. Professor Rupper participates in multiple collaborative research teams including the NASA High Mountain Asia Team (HiMAT), where she contributes expertise in glacier dynamics and hydrology. She serves on several scientific committees including the NSF Ice Core Facility Sample Allocation Committee and the American Geophysical Union Cryosphere Section Fellows Committee. Her research often involves interdisciplinary teams combining expertise in glaciology, hydrology, remote sensing, and climate modeling to address complex questions about mountain water systems under changing climate conditions.

Natalia Imad Khalafمشاهده پروفایل

استادیار

• Pancreatic Cancer
• Gastroenterology
• Epidemiology
• +۳ مورد دیگر

Natalia Imad Khalaf, MD, MPH, FACP is an Assistant Professor in the Department of Medicine at Baylor College of Medicine with dual appointments as Clinical Investigator in the Clinical Effectiveness and Population Health Program and Core Faculty in the Health Policy, Quality & Informatics Program at the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. Her academic trajectory spans clinical gastroenterology, epidemiology, and health services research with focus on cancer outcomes. Her educational foundation includes: BA in Biological Sciences from Rice University (2007) MD from Baylor College of Medicine (2011) Internal Medicine Residency and Chief Medical Residency at Baylor College of Medicine (2014-2015) Gastroenterology & Hepatology Fellowship at Brigham and Women's Hospital (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2018) Dr. Khalaf's research program centers on pancreatic cancer epidemiology, with emphasis on early detection biomarkers (particularly new-onset diabetes), metabolic risk factors, and healthcare system interventions. Her work integrates clinical gastroenterology with population health methodologies to address diagnostic delays, racial disparities in treatment, and implementation of evidence-based guidelines in gastrointestinal cancers. She actively develops risk prediction tools using health informatics and deep learning approaches. Analysis of her recent publications reveals a concentrated focus on pancreatic cancer pathophysiology and outcomes, with significant contributions to understanding pre-diagnostic metabolic changes, emergency presentation consequences, and diabetes-cancer linkages. Her colorectal cancer work examines screening adherence barriers and medication risk associations, while quality improvement research targets guideline implementation for gastric intestinal metaplasia. Her scientific recognition includes: AGA Academy of Educators Elected Member (2018) Bob Parsons Inaugural Fellow in Pancreatic Cancer Research (2017-2018) American Gastroenterological Association Early Career Investigator Recognition (2017) Soma Weiss Award for Clinical Teaching Excellence (2017) Dean of Medical Education Outstanding Resident Teacher Award (2013) Phi Beta Kappa Honor Society (2007) Dr. Khalaf directs multiple federally funded research initiatives including: VA Career Development Award: Health Informatics Approaches to Improve Early Diagnosis of Pancreatic Cancer ($1.09M, 2022-2026) National Academy of Sciences: Clinical Quality Measures for Gastrointestinal Cancers (2022-2027) Gordon and Betty Moore Foundation: Implementing Digital Quality Measures (2024-2025) American Pancreatic Association Young Investigator Grant (2019-2021) She operates within the IQuESt research ecosystem at the Michael E. DeBakey VA, leveraging the Clinical Effectiveness and Population Health Program infrastructure for her work on cancer diagnostic excellence, veteran health outcomes, and implementation science projects targeting gastrointestinal cancer care pathways.

Mesut Akdereمشاهده پروفایل

استاد

• Technology and HRD
• STEM Workforce Development
• Intercultural Competence Development
• +۵ مورد دیگر

Mesut Akdere is a Professor of Human Resource Development at Purdue University's Polytechnic Institute and founding faculty member of its Human Resource Development undergraduate program. He directs multiple research labs including the Purdue HRD Virtual Lab, Purdue HR Analytics Interactive Learning Lab, and the Cyber Resilience Adaptive Virtual Reality Experiences (CRAVRE) project sponsored by FEMA. Ph.D., University of Minnesota His research bridges technology with human resource development, focusing on virtual reality leadership training, STEM workforce development , intercultural competence through immersive simulations, and human resource analytics in the big data era. He has pioneered frameworks for human-robot teamwork and virtual reality safety training in agriculture. Dr. Akdere has received five major awards (2020-2021) including the Richard A. Swanson Research Excellence Award and Purdue Polytechnic Institute's Outstanding Faculty in Discovery Award. Current grants exceeding $16M include projects from the U.S. Department of Homeland Security, Department of Labor, and National Science Foundation. Cyber Resilience Adaptive Virtual Reality Experiences (CRAVRE) - $1.5M (2019-2024) Purdue Cyber Apprenticeship Program - $12M (2020-2023) NSF Collaborative Research - $580K (2021-2023)

• Business Education
• Vocational Training
• Didactics of Business Informatics
• +۳ مورد دیگر

Dr. Franz-Karl Skala is a Senior Lecturer at the Vienna University of Economics and Business (WU) in the Business Education department, with over 15 years of academic and professional experience in higher education. He has held teaching and research positions at institutions including the University of Graz, University of Applied Sciences Burgenland, and Fachhochschule Wiener Neustadt. Current Senior Lecturer at WU (since 2012) Teaching focus on programming didactics and e-learning Specializes in business informatics didactics and vocational training Research interests center on curriculum development for hybrid education models, digital transformation in business training, and vocational education reform. His recent FLUENT project (2022-2025) develops flexible universal education models for AI-era learning. He has secured multiple Erasmus+ grants for international education initiatives in Central Asia. Scientific awards include four Vienna University of Economics and Business Innovative Teaching Awards (2020, 2019, 2017, 2010), University of Graz teaching excellence recognition (2020), AK Science Prize (2013), and Leopold-Kunschak Science Prize (2013). Developed modular curriculum frameworks Created e-learning platforms for entrepreneurs Conducted comparative studies on vocational vs academic degrees