جستجوی استاد راهنمای دانشگاهی

Jan Christoph Munck-Riederمشاهده پروفایل

مدرس

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

Dr. Jan Christoph Munck-Rieder is a Lecturer at EBS Business School in Oestrich-Winkel, Germany. He serves as Co-Head of the Strascheg Center for Impact in Innovation & Entrepreneurship (SCIIE) and leads the Gründungsfabrik Rheingau , a joint initiative with Geisenheim University. In addition to his academic role, he is the managing director of varISO GmbH in Mainz, a consultancy firm. Education: Business Administration studies at Johannes Gutenberg University Mainz Business Administration studies at Karlstad University, Sweden Research Interests: Dr. Munck-Rieder’s research focuses on innovation management , entrepreneurship , and innovation controlling . He explores how organizations can systematically manage innovation processes through effective control systems, balancing creativity with efficiency. His work also delves into the implications of digital transformation on budgeting, management accounting, and organizational development. He has contributed extensively to understanding how Industry 4.0 technologies reshape business models and control mechanisms in manufacturing and service sectors. Publications Overview: His recent publications span peer-reviewed journals and industry-focused outlets, with a clear emphasis on innovation control systems , new product development , and digital transformation . Topics include the performance effects of control instruments in innovation stages, bibliometric evolution of innovation control as a field, and empirical studies on digital budgeting. His work often bridges theoretical frameworks with practical applications in corporate and startup environments. Books and Editorial Contributions: Controlling von Start-Ups & Start-Up-Initiativen (2019, co-authored with R. Gleich) Co-editor of Kennzahlen optimal nutzen (2018) Multiple chapters in edited volumes on controlling, innovation, and digital transformation Industry Engagement & Consulting: Dr. Munck-Rieder has extensive consulting experience with firms such as INVENSITY , Volkswagen Consulting , Horváth , and SGP Management Consultants . His dual role in academia and industry allows him to integrate practical insights into research and teaching, particularly in innovation and entrepreneurship education.

Mikkel N. Schmidtمشاهده پروفایل

دانشیار

• Statistical Modeling
• Machine Learning
• Bayesian Methods
• +۳ مورد دیگر

Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.

Peter Verhoefمشاهده پروفایل

استاد

• Customer Management
• Customer Loyalty
• Consumer Purchasing Behavior
• +۴ مورد دیگر

Professor Peter Verhoef is a renowned academic at the University of Groningen, serving as a Professor of Marketing and Director of the University of Groningen Business School. He earned his PhD from the Erasmus School of Economics. His research focuses on customer management, loyalty, and consumer behavior in contexts such as organic product purchasing and digital transformation. Notably, Verhoef received the 2013 Sheth Foundation/Journal of Marketing Award and the 2009 Harold M. Maynard Award, marking him as a leading figure in marketing research. He also chairs the Advisory Council for the Customer Centre of the Dutch Banking Association (NVB). Education: PhD from Erasmus School of Economics Affiliations: Director of University of Groningen Business School, Chair at NVB Research Interests: Verhoef’s work bridges academic rigor and practical applications. He investigates how digital transformation impacts businesses, explores consumer responses to privacy practices, and analyzes the effects of marketing strategies on customer retention. His findings often challenge conventional wisdom, such as demonstrating that 'light' products do not aid weight loss. Recent studies emphasize omnichannel retailing, privacy calculus, and the business value of SME digitalization. Awards: His accolades include the Sheth Foundation/Journal of Marketing Award for groundbreaking work on CRM efforts and the Harold M. Maynard Award for best paper in the Journal of Marketing. These prizes underscore his global influence in marketing academia. Grants & Teams: While specific grants are not detailed, his leadership roles suggest involvement in large-scale research projects. Collaborative work with institutions like the SOM Research School and contributions to interdisciplinary initiatives (e.g., digital transformation frameworks) highlight his team-oriented approach. Labs/Teams: Active in the University of Groningen Business School’s marketing department, he collaborates with researchers like Dong J.Q., Nguyen D.K., and Eggers F., focusing on data analytics, customer experience, and privacy-related challenges.

Lucia Leeمشاهده پروفایل

استادیار

• Chemical Sciences
• Analytical Chemistry
• Quantum Chemistry
• +۹ مورد دیگر

Lucia Lee is an Assistant Professor in the Department of Chemistry at Queen's University, affiliated with the Faculty of Arts and Science. Her research focuses on applying green chemistry principles to supramolecular interactions involving main-group elements, particularly sigma-hole interactions, with applications in materials science and medicine. She holds a PhD from McMaster University and has completed postdoctoral studies at the University of Geneva and Weizmann Institute of Science. Dr. Lee's educational background includes a PhD supported by an NSERC grant, which explored chalcogen bonding in supramolecular materials. Her postdoctoral work at Weizmann focuses on stimuli-responsive materials using chalcogen elements for photoswitching applications. She has also contributed to academic governance through roles in the McMaster Graduate Students Association. Her research interests span analytical chemistry, quantum chemistry, inorganic and bioinorganic chemistry, organic chemistry, and free radical chemistry. Key projects include integrating chalcogen bonding into d-metal coordination chemistry, catalysis, and chemical biology to create functional materials. Her lab, located in CHE513, emphasizes sustainable approaches to material design through main-group supramolecular systems. Her articles explore topics like chalcogen bonding mechanisms, anion transport, and photoswitching in confined spaces, reflecting a strong focus on molecular assembly and functional materials. She has no listed scientific awards but demonstrates significant contributions to supramolecular chemistry through her publications and cross-appointments at Queen's Carbon to Metal Coating Institute.

Yunlan Zhangمشاهده پروفایل

استادیار

• Architected Materials
• Mechanical Metamaterials
• Deployable Structures
• +۳ مورد دیگر

Yunlan (Emma) Zhang is an Assistant Professor in the Department of Civil, Architectural, and Environmental Engineering at the University of Texas at Austin, part of the Cockrell School of Engineering. Her research focuses on architected materials, deployable structures, nature-based solutions, and extraterrestrial materials. She holds a B.S. from The Ohio State University (2012), M.S. and Ph.D. from Purdue University (2014, 2019), and completed a postdoc at the University of Oxford (2022). Her work bridges mechanical metamaterials with biomedical and environmental applications, including deployable medical devices and sustainable infrastructure. Education: B.S., The Ohio State University, 2012 M.S., Purdue University, 2014 Ph.D., Purdue University, 2019 Postdoc, University of Oxford, 2022 Her research interests emphasize biomimetic materials inspired by natural systems (e.g., avian feathers) and their translation into engineered solutions. Current projects include developing lightweight superalloys for aerospace, shape-memory materials for medical devices, and artificial reefs for marine conservation. She leads the UT Metamaterials and Advanced Structures Lab (UTMASLab), accessible at https://sites.utexas.edu/utmaslab/ . Recent publications explore novel applications of architected materials in healthcare, disaster-resistant structures, and environmental sustainability. Her work frequently appears in top journals across mechanical engineering, materials science, and biomedical engineering disciplines.

Likun Zhuمشاهده پروفایل

استاد

• Lithium-ion Batteries
• Solid-state Batteries
• In Situ and Operando Characterization
• +۷ مورد دیگر

Dr. Likun Zhu is a Professor of Mechanical Engineering at Purdue University's School of Mechanical Engineering in Indianapolis. His research focuses on advanced battery technologies, including lithium-ion and solid-state batteries, with an emphasis on in situ and operando characterization, modeling, and micro/nano fabrication. Dr. Zhu's work addresses critical challenges in battery energy density, safety, and longevity through innovative materials and manufacturing processes. Education: Ph.D. Mechanical Engineering, University of Maryland (2006); M.S./B.S., Tsinghua University (2001/1998). His lab is affiliated with the Birck Nanotechnology Center and equipped with advanced facilities such as gloveboxes, electrochemical analyzers, and microscopy systems. Recent milestones include securing an NSF grant for solid-state battery research (2023) and advising over 30 graduate students. Research Interests: Solid-state batteries, micro/nano fabrication, operando characterization, and sustainable energy materials. His group develops novel electrode materials and designs for high-performance batteries, leveraging cutting-edge in situ techniques to study dynamic processes during cycling. Grants & Awards: NSF grant (2023) for solid-state battery research. Advising: Notable students include Hua Wang (Ph.D. 2024), Xintong Li, and Tianyi Li. Collaborations include work with Professors Hazim El-Mounayri and Andres Tovar on Bayesian optimization of battery materials. Labs & Facilities: The lab, located at ET 118, houses equipment like Arbin battery cyclers, FIB-SEM systems, and Comsol Multiphysics software. Dr. Zhu teaches courses including ME 330 (Dynamic Systems), ME 509 (Fluid Mechanics), and ME 597 (Renewable Energy).

Bill Groppمشاهده پروفایل

استاد

• High Performance Computing
• Parallel Computing
• Scientific Computing
• +۳ مورد دیگر

William Gropp is the Grainger Distinguished Chair and Director of the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. He holds a Ph.D. in Computer Science from Stanford University (1982) and has contributed extensively to parallel computing, software for scientific computing, and numerical methods for PDEs. His research focuses on high performance computing, programming models, and scalable algorithms. Education: B.S. Mathematics (Case Western Reserve, 1977), M.S. Physics (University of Washington, 1978), Ph.D. Computer Science (Stanford, 1982). Research Interests: Gropp's work spans HPC, parallel computing, and numerical methods. He co-developed the MPI standard and MPICH implementation, and contributed to the PETSc library. His current projects include the Delta and DeltaAI supercomputers, Illinois Computes, and exascale initiatives. Scientific Awards: AAAS Fellow (2018), ACM/IEEE-CS Ken Kennedy Award (2016), SIAM/ACM Prize (2015), and 2024 ACM Software System Award. Member of the National Academy of Engineering. Grants & Leadership: Director of NCSA, leader of the Midwest Big Data Hub, and contributor to NSF-funded projects. His teams support AI/ML infrastructure and exascale computing. He advises on HPC policy and serves on committees like the Computing Community Consortium. Labs/Teams: NCSA, Siebel School research groups, collaborations with DOE, NSF, and industry partners. His work drives advancements in cyberinfrastructure and computational science.

KHOO Siau Chengمشاهده پروفایل

دانشیار

• Programming Languages
• Code Analytics
• Software Engineering
• +۷ مورد دیگر

KHOO Siau Cheng is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) School of Computing. He also serves as Co-Director of the NUS Business Analytics Centre, established in 2013 in collaboration with the Economic Development Board of Singapore and IBM. His academic journey began with a Ph.D. in Computer Science from Yale University in 1992. Professor Khoo's research focuses on improving software developer productivity through advanced programming language theories and software engineering techniques. His work spans multiple areas including static program analysis, dynamic program optimization, code analytics, and specification mining. He has applied his expertise to develop domain-specific languages for financial data analysis and has pioneered techniques for discovering dynamic program behaviors via data-mining approaches. Research Interests: Programming Languages and Software Engineering Code Analytics and Program Analysis Specification Mining and Bug Signature Discovery Static and Dynamic Program Analysis Program Transformation and Optimization Domain-Specific Languages Professor Khoo's publications demonstrate a consistent focus on improving software quality and developer productivity. His recent work emphasizes scalable approaches to refactoring detection, bug signature mining, and specification inference, showing an evolution from theoretical foundations to practical applications in software maintenance and quality assurance. As an educator and mentor, Professor Khoo has supervised numerous graduate students to completion of their M.Sc. and Ph.D. degrees. His research projects have provided valuable training opportunities for students while addressing important challenges in software development. He has also contributed significantly to academic administration, having served as Vice Dean (Undergraduate Studies) in the School of Computing from 2005 to 2011 and currently as Co-Director of the Master of Science (Business Analytics) Programme.

Jeffrey Heinzمشاهده پروفایل

استاد

• Theoretical Linguistics
• Computational Learning Theory
• Phonology
• +۳ مورد دیگر

Jeffrey Heinz is a Professor at Stony Brook University, with a joint appointment in the Department of Linguistics and the Institute for Advanced Computational Science. He holds a Ph.D. from UCLA (2007) and previously served on the faculty at the University of Delaware from 2007–2017. His research bridges theoretical linguistics, computational learning theory, and formal language models, focusing on phonology, linguistic typology, and grammatical inference. He has contributed to influential works on computational phonology and edited volumes on topics like phonological stress and learning theory. Key academic achievements include the 2017 Linguistic Society of America Early Career Award for contributions to computational inference in language. His work emphasizes the intersection of formal models and empirical linguistics, with applications to reduplication, phonological processes, and machine learning benchmarks like MLRegTest. Heinz has co-authored a book on grammatical inference and guest-edited special issues in Machine Learning and Phonology . His research also extends to interdisciplinary applications, such as modeling human-robot interaction and pediatric motor rehabilitation through grammatical inference techniques.

• Design Science Research
• Enterprise Architecture Management
• Governance of Digital Platforms
• +۵ مورد دیگر

Robert Winter is a Full Professor of Business IT at the University of St. Gallen (HSG), Switzerland, and Director of the Institute of Information Management (IWI-HSG). He serves as Founding Director of HSG’s Executive MBA in Business Engineering and has led the School of Management’s Doctoral Program. His roles include Vice Editor-in-Chief of Business & Information Systems Engineering and current editorial board membership at MIS Quarterly Executive. Education M.Sc. Business Administration (1984), Goethe University, Frankfurt M.Sc. Business Education (1986), Goethe University, Frankfurt Ph.D. in Social Sciences (1989), Goethe University, Frankfurt Venia legendi (1995), Goethe University, Frankfurt Research Interests Focuses on Design Science Research, Enterprise Architecture Management, and governance of digital platforms. His work explores methodologies for collaborative innovation, data-driven transformation, and complexity management in large-scale systems. Key areas include enterprise transformation steering, data mesh adoption, and agile methodologies in public-sector contexts. Key Contributions Developed frameworks for enterprise architecture governance and digital platform ecosystems Authored influential papers on design science methodology and simulation-based research Recipient of AIS Senior Scholars’ Global Best Paper Award (2017) and Herbert A. Simon Award (2022) Professional Roles President of the School of Management Doctoral Program Member of editorial boards for leading journals (e.g., European Journal of Information Systems) Leadership in professional associations: VHB Board (2011–2014), AIS Swiss Chapter President (2012–2016)

• Lean construction
• Takt planning
• Industrialized Construction
• +۱۲ مورد دیگر

Iris D. Tommelein serves as the Roy W. Carlson Distinguished Professor in the Civil and Environmental Engineering Department at the University of California, Berkeley's College of Engineering, where she directs the Project Production Systems Laboratory (P2SL). A globally recognized pioneer in Lean Construction, she has revolutionized architecture-engineering-construction (AEC) practices through research, industry workshops, and leadership since co-founding the Lean Construction Institute in 1997. Her educational foundation spans multiple disciplines: Ph.D. in Civil Engineering (Construction Engineering and Management), Stanford University, 1989 M.S. in Computer Science (Artificial Intelligence), Stanford University, 1989 M.S. in Civil Engineering (Construction Engineering and Management), Stanford University, 1985 B.S. (5-year degree) in Civil Engineer-Architect, Vrije Universiteit Brussel, Belgium, 1984 Professor Tommelein's research centers on transforming construction processes through Lean principles and digital innovation . Her work pioneers takt planning for workflow reliability, industrialized construction for labor and sustainability challenges, and mistakeproofing to eliminate errors. She integrates digital twins , AI , and optimization to develop practical decision-support systems for supply chains, logistics, and production management. Recent focus includes modular offsite construction and Industry 4.0 applications. Analysis of her 2023-2025 publications reveals intensifying research on takt planning maturity models and industrialized construction feasibility , with growing emphasis on mass timber automation and visual management systems. Her work consistently bridges lean theory with practical implementation across megaprojects, subcontracting networks, and heavy civil engineering. Her exceptional contributions have earned: Lean Pioneer Award (Lean Construction Institute, 2015) National Academy of Construction induction (2019) PPI Technical Achievement Award (2022) Robert B. Harris Award (University of Michigan, 2024) ASCE Construction Management Award (2024) - first woman recipient in 51 years Through the P2SL, she leads industry-collaborative research on production system design, mistakeproofing frameworks, and digital transformation. Her grant-funded projects develop assessment tools for industrialized construction adoption and takt planning methods adaptable to diverse project types. She actively mentors graduate students and drives knowledge transfer via workshops and the annual Construction Innovation Day. The Project Production Systems Laboratory (P2SL) operates as a global hub for construction innovation, partnering with owners, contractors, and suppliers to implement lean production systems. Current initiatives include developing serious games for mistakeproofing training, optimizing work density methods for heavy civil projects, and creating digital twins for real-time construction management.

David Kanterمشاهده پروفایل

دانشیار

• Nitrogen pollution
• Food Security
• Sustainable Development
• +۳ مورد دیگر

David Kanter is an Associate Professor of Environmental Studies at New York University and Chair of the International Nitrogen Initiative. His research focuses on nitrogen pollution, food security, sustainable development, and climate change, emphasizing interdisciplinary approaches including Earth systems modeling, economic analysis, and legal frameworks. He holds a B.Sc. in Chemistry and Law from the University of Bristol (2009), and an M.A. and Ph.D. in Science, Technology, and Environmental Policy from Princeton University (2012 and 2014). Prior to NYU, he was a Postdoctoral Research Fellow at Columbia University’s Earth Institute. His work bridges science and policy, addressing global nutrient governance challenges and agri-food system transitions toward Sustainable Development Goals. He teaches courses on environment-society interactions, environmental policy, and regulatory frameworks. His publications span topics like nitrogen cycling, climate mitigation strategies, and policy design for sustainable agriculture. He actively engages in international initiatives like the International Nitrogen Management System to coordinate global nitrogen policies.

• Marketing
• E-commerce
• Consumer Behavior
• +۴ مورد دیگر

Prof. Tammo H.A. Bijmolt is a Full Professor of Marketing Research and Chairman of the Department of Marketing at the University of Groningen's Faculty of Economics and Business. He holds additional roles such as Director of the Groningen Digital Business Center and former Director of the SOM Research Institute. His expertise spans consumer decision making, e-commerce, advertising, retailing, loyalty programs, and meta-analysis. Education: PhD in Marketing (cum laude, 1996) and MSc in Quantitative Business Economics (cum laude, 1991), both from the University of Groningen. Research focuses on marketing methodology, consumer behavior in digital contexts, and loyalty programs. Notable awards include the 2022 Best Paper Award (Journal of Interactive Marketing) and the 2017 Emerald Literati Award. Advising over 20 PhD students and overseeing grants such as NPG funding for digitalization projects. Active in leadership roles with EMAC and EIASM, and consulting with firms like DVJ Insights and Unilever. Labs/Teams: Leads the Groningen Digital Business Center and collaborates with the SOM Research Institute.

• Sociology of Education
• Critical Pedagogies
• Culturally Responsive Schooling
• +۵ مورد دیگر

Associate Professor Samantha Schulz is a sociologist of education at The University of Adelaide's School of Education, within the Faculty of Arts, Business, Law and Economics. She specializes in educational justice, focusing on First Nations education, race critical theory, affect studies, and gender equity. Her work spans international contexts including Kenya, India, China, and Australia's APY Lands. She is co-convenor of the Pedagogies for Justice Research Group, affiliated with CRESI and the Fay Gale Centre for Research on Gender. As Program Director for the Master of Teaching program, she emphasizes socially engaged pedagogies. Recent research includes the ARC-funded 'Culturally Responsive Schooling' project (2022-24) and studies on gender-based violence in educational settings. Her publications explore decolonial methodologies, critical race theory, and the intersection of affect and pedagogy. Her grants include leadership roles in projects addressing Indigenous sovereignty in education, culturally responsive curriculum design, and restorative practices. Notable collaborations involve UniSA and Open University of Cyprus. She co-edits the Routledge 'Local Global Issues in Education' series and actively publishes on topics ranging from toxic masculinity in academia to anti-racist policy frameworks. Her advising focuses on fostering critical scholarship in Masters and PhD candidates, with research supervision emphasizing justice-oriented educational practices. She leads initiatives like 'Teaching in an era of digital influence' and has contributed to policy discussions on preventing violent extremism in schools. Her work bridges theoretical rigor with practical advocacy for marginalized communities in education systems globally.

Hamid Krimمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +۵ مورد دیگر

Hamid Krim is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He leads the Vision, Information and Statistical Signal Theories and Applications (VISSTA) group, focusing on statistical signal/image analysis, data science, and machine learning. His prior roles include Research Scientist at MIT’s Laboratory for Information and Decision Systems and Member of Technical Staff at AT&T Bell Labs. He holds a Ph.D. in Electrical Engineering from Northeastern University, and degrees from the University of Washington and University of Southern California. Education: Ph.D., Electrical Engineering, Northeastern University (MA), 1990s Master's, Electrical Engineering, University of Washington Bachelor's, Electrical Engineering, University of Southern California and University of Washington Research Interests: Machine Learning, AI, Signal Processing, Communications, and Control Systems . His work bridges formal mathematical frameworks with applied problems, emphasizing generative AI, adversarial robustness, and subspace-driven data analysis. Recent innovations include Volterra neural networks and expansive synthesis techniques for data generation. Awards & Recognition: 2000 NSF CAREER Award 2008 IEEE Fellow 2019 IEEE SPS Sustained Impact Paper Award Multiple extended research invitations at top institutions globally Grants & Advising: Leads the VISSTA Lab, collaborating on projects like medical algorithm development (e.g., lung wheeze analysis) and hurricane activity prediction. His work spans interdisciplinary applications in healthcare, robotics, and defense systems. Labs & Teams: Director of the VISSTA Lab, fostering research in signal theory and machine intelligence. Collaborates with academia and industry on cutting-edge AI and sensor fusion technologies.