جست‌وجوی استاد و پژوهشگر

• Financial Accounting
• Sustainability Accounting
• Corporate Social Responsibility
• +۴ مورد دیگر

Dr. Truc (Peter) Do serves as Senior Lecturer at the School of Business, Faculty of Business, Economics and Law, The University of Queensland. Previously a visiting scholar at London Business School, he holds a PhD from Nanyang Technological University and maintains active industry certifications as CPA Australia and Chartered Accountant of Singapore. His educational background includes: Doctor of Philosophy from Nanyang Technological University, Singapore Dr. Do's research centers on financial accounting with dual emphases: (1) how cultural norms and peer interactions shape corporate information flows, and (2) business sustainability implications for employee welfare. His work bridges technical accounting with socio-ethical dimensions, examining real-world impacts on corporate governance and reporting practices. Analysis of his 2019-2025 publications reveals three converging trajectories: board diversity effects on CSR/pay structures, regulatory dynamics in SEC oversight, and human capital-health-innovation linkages. These studies consistently leverage large-scale datasets to uncover behavioral patterns in capital markets, appearing in premier journals like Journal of Accounting and Economics and Contemporary Accounting Research. His accolades include: Outstanding Reviewer Award (Pacific Accounting Review) InSPiR2eS Global Pitching Research Competition winner (2021) Dual UQ Business School awards: Researcher Excellence (Early Career) and Excellence in Developing Accounting Discipline (2022) Dr. Do actively secures competitive funding and mentors emerging scholars: Current Grants : Health of employees & corporate reporting (AFAANZ 2023-24); Ethics in corporate reporting (CPA Australia 2022); CSR commitments in IPOs (AFAANZ 2021-22) Supervision : Associate advisor for two PhD candidates researching sustainability leadership in mining and public sector management controls

Michael Hintermüllerمشاهده پروفایل

استاد

• Applied Mathematics
• Optimization and Control
• Partial Differential Equations
• +۴ مورد دیگر

Prof. Michael Hintermüller is the Director of the Weierstrass Institute (WIAS) and holds a professorship in Applied Mathematics at Humboldt-Universität zu Berlin. He serves as Founding Coordinator of BR50, Spokesperson of the Mathematical Research Data Initiative (MaRDI), and Board Member of the MATH+ Cluster of Excellence. His research focuses on nonsmooth optimization, PDE-constrained control, mathematical image processing, and quasi-variational inequalities. Leadership Roles: Director of WIAS; Founding Coordinator of BR50; Spokesperson of MaRDI; Board Member of MATH+ Key Research Areas: Mathematical image processing, optimization under uncertainty, PDE-constrained optimization, shape/topology optimization, learning-informed constraints Recent Applications: Image deblurring/denoising/demodulation, energy network modeling, gas dynamics on pipeline networks, thermoforming simulations, strained photonic device design. His work combines analytical rigor with numerical methods for inverse problems, including adaptive regularization and physics-informed neural networks. Scientific Leadership: Active in mathematical modeling for biomedical imaging (e.g., quantitative MRI) and industrial applications (e.g., semiconductor design, gas flow optimization). Develops novel algorithms for nonsmooth PDE systems and contributes to the theoretical foundations of quasi-variational inequalities and generalized Nash equilibrium problems.

• Dynamics of long-span suspension bridges
• Floating bridges
• Stochastic environmental wind and wave loading
• +۷ مورد دیگر

Øyvind Wiig Petersen is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on bridge dynamics, wind and wave loading, inverse force identification, structural monitoring, and machine learning applications in structural mechanics. He works extensively with long-span suspension bridges and floating bridge systems. Current research areas include vortex-induced vibrations, Kalman filter applications, wind tunnel testing, and finite element model updating. He has published in leading journals like Journal of Wind Engineering, Mechanical Systems and Signal Processing, and Engineering Structures. His work integrates experimental data with computational models for structural condition assessment and load estimation.

• Border and Migration Policing
• Carceral Geographies
• Feminist Geography
• +۴ مورد دیگر

Dr. Lauren Martin is an Associate Professor in Political Geography at Durham University's Department of Geography , specializing in the spatial dimensions of migration control, carceral geographies, and critical security studies. Her research bridges political geography with feminist and critical migration theories. 2020–present: Associate Professor, Durham University 2016–2020: Assistant Professor/Lecturer, Durham University 2016–2019: Associate Editor, Environment & Planning D: Society and Space Research Focus : Border and migration policing Carceral geographies Political-economic analysis of detention systems Techno-humanitarian transformation in refugee governance Key Projects : Economies of Exclusion (2020–present): Analyzes value creation through immigration detention practices GLiTCH (2020–2022): Investigates financial and digital technologies' impact on refugee governance Scientific Awards : Independent Social Research Foundation Fellowship (2020) ESRC Standard Grant (2020–2022) Publications demonstrate theoretical contributions to carceral geographies, migration control political economy, and spatial governance practices. Her work connects with broader debates in feminist geography and critical security studies.

Stephanie Balzerمشاهده پروفایل

استادیار

• Programming Languages
• Type Theory
• Program Verification
• +۶ مورد دیگر

Stephanie Balzer is an Assistant Professor in the Principles of Programming Group at Carnegie Mellon University's School of Computer Science. She received her PhD from ETH Zurich under Thomas R. Gross and focuses on developing rigorous type systems and verification logics to build failure-free, secure software through compositional and practical methods. Education: PhD (ETH Zurich), Master's (University of Zurich), Semester Thesis (University of Zurich) Her research spans session types , logical relations , and separation logic to ensure correctness and security in concurrent systems. Recent work includes verifying timed message-passing protocols and disentanglement in type systems. Key publication trends include session-typed concurrency , noninterference , and deadlock freedom across programming languages, formal methods, and security domains. She has authored multiple distinguished papers at ECOOP and POPL. Scientific Awards: NSF CAREER Award, ACM SIGPLAN Distinguished Paper, ECOOP Distinguished Paper She advises PhD students including Yue Yao, Yinsen Zhang, and Zak Kent, and has supervised former PhD students like Jules Jacobs (now at Cornell). Her grants include NSF funding for IoT verification , heterogeneous applications , and real-time protocols .

Thomas LaTozaمشاهده پروفایل

دانشیار

• Software Engineering
• Human-Computer Interaction
• Crowdsourced Programming Environments
• +۸ مورد دیگر

Thomas LaToza is an Associate Professor in the Department of Computer Science at the George Mason University, School of Computing . His research focuses on the intersection of software engineering and human-computer interaction, exploring how developers interact with code and designing novel software development methodologies. He has pioneered crowdsourced programming environments and microtask programming frameworks, with notable projects including RulePad for checkable design rules and Hypothesizer for hypothesis-based debugging. His work emphasizes empirical studies of developer behavior, tool impact analysis, and integration of AI assistants in software development. His recent publications highlight trends in AI-driven development , debugging mental models , and developer information seeking . He has received recognition including the George Mason University Teacher of Distinction award and has served on the editorial board of Empirical Software Engineering . His advising includes PhD students Ruochen Wang, Mainul Hossain, and alumni Abdulaziz Alaboudi, Emad Aghayi, David Samudio, Sahar Mehrpour, and Maryam Arab. He co-founded the OurCode developer tools startup, translating academic research into industry applications.

David Kazmerمشاهده پروفایل

استاد

• Plastics product and process design
• Additive manufacturing processes
• Polymer rheology
• +۷ مورد دیگر

David Kazmer is a Professor in the Department of Plastics Engineering at the University of Massachusetts Lowell's Francis College of Engineering. With a Ph.D. from Stanford University (1995) and prior roles in industry (GE Research & Development, GE Plastics), he specializes in advanced manufacturing processes, particularly polymer processing, additive manufacturing, and intelligent process control. Education: BS (Cornell, 1990); MS (Rensselaer Polytechnic, 1991); PhD (Stanford, 1995). His research focuses on plastics product and process design , additive manufacturing , polymer rheology , and multivariate process control , with over 300 publications and 20 patents. Key contributions include innovations in injection molding sensors, fused deposition modeling, and sustainable polymer processing. Recent Google Scholar publications (2025-2024) highlight advancements in shell deposition additive manufacturing , co-extrusion for graded foams , thermal contact resistance modeling , and recycled polyolefin processing . These works span polymer blends, composite materials, and energy-efficient manufacturing systems. Scientific awards include: Fellow, Society of Plastics Engineers (2011) ASME Kos Ishii-Toshiba Award (2012) Office of Naval Research Career Award (1997) Multiple Best Paper Awards (ASME, SPE) As an Associate Research Professor in Mechanical & Industrial Engineering at UMass Amherst, he bridges interdisciplinary research. His industry experience with GE and Synventive Molding Solutions informs practical process development. Current projects involve self-powered sensors, machine learning for extrusion optimization, and community-focused engineering education initiatives.

Nicholas G. Evansمشاهده پروفایل

دانشیار

• Bioethics
• Military Ethics
• Public Health Ethics
• +۷ مورد دیگر

Nicholas G. Evans is an Associate Professor of Philosophy at the University of Massachusetts Lowell, affiliated with the College of Fine Arts, Humanities and Social Sciences. His work bridges bioethics, military ethics, and public health ethics, with a focus on the ethical implications of emerging technologies in national security and healthcare. Education: M.S. in Medical Ethics, University of Pennsylvania (2019) Ph.D. in Philosophy, Australian National University (2013) B.S. in Physics (Honours) with minor in History and Philosophy of Science, University of Sydney (2006) Research Interests: Evans specializes in the ethics of dual-use research, autonomous vehicles, and military enhancement technologies. His public health ethics work includes pandemic response policies, social distancing ethics, and equitable vaccine allocation. He has also examined biosecurity frameworks, open-source biology, and neuroethics in security contexts. Article Trends (2022–2025): Recent publications address AI ethics in transportation, long-COVID and disability, and military enhancement dilemmas. Themes include reconciling scientific autonomy with regulation, equity in public health, and ethical algorithms for autonomous systems. Collaborative work spans global biosecurity, pandemic preparedness, and machine learning applications in infectious disease. Scientific Awards: Greenwall Foundation Faculty Scholar (2020–2023) Emerging Leaders in Biosecurity Initiative Fellow (2015) Visiting Fellow, Center for the Study of Existential Risk, Cambridge (2019) Grants and Projects: Current grants include a $1.1M DoD award on neurotechnology ethics for warfighters and NSF funding for autonomous vehicle ethics. Past projects involved biosecurity policy analysis, dual-use research frameworks, and pandemic response strategies.

Jie Wangمشاهده پروفایل

استاد

• Algorithms
• Text Mining
• Computational Complexity
• +۷ مورد دیگر

Jie Wang is a Professor of Computer Science at the University of Massachusetts Lowell's R. Miner School of Computer and Information Sciences. He joined UMass Lowell in 2001 as a Full Professor and chaired the department for 9 years from 2007 to 2016. He serves as Director for China Partnership of the US-based Consortium for Mathematics and Its Applications (COMAP) since 2011. Prior to UMass Lowell, he was Assistant Professor and then Associate Professor of Computer Science at the University of North Carolina. Professor Wang's research spans multiple areas including text mining algorithms and systems, data modeling, combinatorial optimizations, network security, wireless sensor networks, and computational complexity theory. His work has evolved from theoretical foundations in computational complexity (1980s-early 2000s) to practical applications in data analysis, intelligent text automation, and AI systems. His recent publications focus on AI-Oracle machines, LLMs, text mining, document engineering, and network security. His research portfolio demonstrates a clear evolution from theoretical computer science to applied research with practical impact. The publications show increasing focus on AI, text mining, and document engineering in recent years, while maintaining foundations in algorithm design and network security. His work bridges theoretical computer science with real-world applications across multiple domains. Honorary Advisor (2013) - NeoUnion Hong Kong Education Science Culture Organization MHE Scholar (2012) - Ministry of Higher Education, China PMYR Award for Major New Initiatives (2010) - University of Massachusetts Lowell Teaching Excellence Award (2002) - University of Massachusetts Lowell Nominee of Board of Governors' Teaching Excellence Award (2000) - University of North Carolina Professor Wang has graduated 18 PhD students and is currently directing 5 PhD students. His research has been funded by the National Science Foundation, IBM, Intel, and other companies totaling approximately $4.8 million. He is active in professional service, including chairing conference program committees, serving as journal editors, and as editor-in-chief of a book series on mathematical and interdisciplinary modeling. His laboratory work focuses on text mining systems, network security applications, and computational models for practical problems.

Heidi Olanderمشاهده پروفایل

پژوهشگر

• Organizational Behavior and Human Resources Management
• Strategy and management
• Technology and innovation management

Heidi Olander is a Researcher at LUT University's School of Economics in Lahti, Finland, specializing in organizational dynamics within knowledge-intensive work environments. Her academic profile centers on the intersection of human behavior, strategic management, and technological innovation, with documented research spanning from 2007 to 2025. Her research interests focus on three core domains: Organizational Behavior and Human Resources Management (examining psychological factors like locus of control and social competence), Strategy and management (analyzing competitive dynamics in digital ecosystems), and Technology and innovation management (investigating knowledge worker innovativeness and digital transformation challenges). She particularly explores how individual traits—including creativity, resilience, and self-efficacy—drive entrepreneurial intentions and innovation outcomes in contemporary workplaces. Analysis of her publication trajectory (2016-2025) reveals consistent thematic evolution toward digital work arrangements, with increasing emphasis on pandemic-era remote work tensions, platform economy dynamics, and the psychological foundations of knowledge worker performance. Her methodological approach combines empirical studies of subjective worker perspectives with organizational performance metrics, often highlighting contradictions in knowledge management practices. No scientific awards were documented in the source materials. While her publications indicate extensive collaboration in knowledge management research, the provided information does not specify formal student supervision or grant funding details. Her work demonstrates strong institutional alignment with LUT University's focus on technological innovation and business ecosystem dynamics.

Zoi Raptiمشاهده پروفایل

استاد

• Differential Equations
• Mathematical Biology
• Nonlinear Dynamics
• +۴ مورد دیگر

Zoi Rapti is a Professor at the University of Illinois Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences, Department of Mathematics, Carl R. Woese Institute for Genomic Biology, and the Center for Latin American and Caribbean Studies. Her research bridges applied mathematics and biological systems. Research Interests: Zoi specializes in differential equations, mathematical biology, and modeling, with a focus on stability analysis of nonlinear systems, disease dynamics (including dengue and COVID-19), microbial communities, and gene regulatory networks. Her work integrates ecological and epidemiological frameworks with nonlinear dynamics and computational approaches. Publications: Recent articles explore spatiotemporal disease patterns, phage-antibiotic synergy, mobility-driven epidemics, and vector competence in mosquitoes. These reflect interdisciplinary applications of mathematical modeling to public health, virology, and ecological systems. Contact: Email zrapti@illinois.edu for collaboration or inquiries.

Brian J. Lundayمشاهده پروفایل

استاد

• Operations Research
• Game Theory
• Network Optimization
• +۲ مورد دیگر

Brian J. Lunday is a Professor of Operations Research at the Air Force Institute of Technology (AFIT) , specifically within the Department of Operational Sciences. His career spans over two decades, with a focus on applications of mathematical programming to cooperative and non-cooperative game-theoretic interactions, network design, optimization, interdiction, and resource allocation in military contexts. Education: Ph.D. in Industrial and Systems Engineering, Virginia Tech (2010) M.S. in Industrial Engineering, University of Arizona (2001) B.S. in Mechanical Engineering (Aerospace Systems), United States Military Academy (1992) Lunday’s research interests are broad and interdisciplinary, centering on operations research with military applications. His work includes network interdiction, resource location and allocation, game theory, and optimization under uncertainty. He has contributed to areas such as missile defense, vaccine pricing, medical evacuation logistics, and social network analysis. His methodological approaches often involve bilevel programming, stochastic and dynamic programming, and metaheuristics. The trends in his publications reflect a deep engagement with military logistics, game theory, and network optimization. Notable topics include the weapon-target assignment problem, robust location modeling, approximate dynamic programming for medical evacuations, and social network analysis using multilayer frameworks. His work frequently integrates mathematical rigor with real-world defense challenges, such as asymmetric satellite constellation design, truck platooning cost optimization, and intruder detection. Scientific Awards: 2024 Richard H. Barchi Prize (MORS) 2023 Outstanding Science and Engineering Educator (USAF) 2020 Dean’s Distinguished Teaching Award (AFIT) 2018 Lessons Learned Senior Civilian Professional of the Year (USAF) 2016 Outstanding Young Member OR/MS Award (INFORMS) 2014 Professor of the Year (ASAM Master’s Program) 2013 Dr. Leslie M. Norton Teaching Excellence Award Lunday has advised numerous students across his publications, including researchers working on military applications (e.g., C. G. Long, S. D. Donnel, M. J. Robbins) and optimization challenges (e.g., P. R. Jenkins, W. M. Caballero). His collaborative research extends to projects involving cyber readiness, missile defense, and healthcare logistics.

Mario Günzelمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Self-Suspension
• +۴ مورد دیگر

Mario Günzel is a Researcher at the Department of Computer Science, Faculty of Computer Science at Technical University of Dortmund, where he works in the Design Automation for Embedded Systems research group under Prof. Dr. Jian-Jia Chen. Having completed his PhD in 2024 with a dissertation on property-based timing analysis of distributed real-time systems, he has established himself as a leading researcher in real-time systems with over 30 publications and multiple prestigious awards including Best Paper Awards at ECRTS 2023 and EMSOFT 2024, as well as an Outstanding Paper Award at RTSS 2024. PhD in Computer Science, Technical University of Dortmund (2024) M.Sc. in Mathematics, University of Duisburg-Essen (2019) B.Sc. in Mathematics, University of Duisburg-Essen (2017) Günzel's research focuses on the theoretical and practical aspects of real-time systems, particularly in self-suspending tasks and end-to-end latency analysis of cause-effect chains. His work bridges formal methods with practical applications in embedded systems, automotive systems, and robotics. He has developed evaluation frameworks like SSSEvaluation and E2EEvaluation that have become important tools in the real-time systems community. His research demonstrates exceptional depth in both theoretical foundations and practical implementations, with significant contributions to scheduling algorithms, timing analysis, and real-time operating systems. The recent publication trend shows Günzel's expanding research scope from core real-time scheduling problems to applications in automotive systems, electric vehicle scheduling, and ROS 2 integration. His work consistently addresses fundamental challenges in real-time systems while developing practical solutions with real-world applicability. The publications reveal a strong focus on eliminating timing anomalies, optimizing priority assignments, and developing distribution-agnostic analysis methods that advance the theoretical foundations of real-time systems. Outstanding Paper Award at IEEE RTSS (2024) Best Paper Award at ACM EMSOFT (2024) Best Paper Award at ECRTS (2023) Outstanding Bachelor Thesis Award (2017) UDE Scholarship (2014-2019) Günzel actively supervises bachelor's and master's theses, with recent completed works including 'Odometry and IMU Fusion for Pose Estimation' and 'Evaluation Framework for End-to-End Analysis'. He has served in various organizational roles for major conferences including Publicity Co-Chair for RTSS 2025 and Publicity Chair for ECRTS 2025. His service to the community extends to editorial roles for journals including Real-Time Systems Journal and ACM Transactions on Embedded Computing Systems. Under Günzel's supervision, the research group maintains important open-source tools including SSSEvaluation (Evaluation Framework for Schedulability of Self-Suspending Tasks) and E2EEvaluation (Evaluation Framework for End-to-End Latency of Cause-Effect Chains), which have been adopted by researchers worldwide. He is also involved in collaborative projects with institutions including Scuola Superiore Sant'Anna in Pisa (planned research stay Feb-Apr 2025) and Eindhoven University of Technology.

Paul Leonardiمشاهده پروفایل

استاد

• Digital Transformation
• Organizational Change
• Knowledge Management
• +۵ مورد دیگر

Paul Leonardi is Department Chair and Duca Family Professor of Technology Management at the University of California, Santa Barbara, with additional appointment in the Department of Communication. He holds a PhD from Stanford University and has established himself as a leading expert in digital transformation and organizational change. University of California, Santa Barbara PhD, Stanford University Leonardi's research focuses on how organizations can design networks and implement technologies to effectively create and share knowledge. He examines how data-intensive technologies like simulation and social media enable new information access and sharing methods, how these technologies change work routines and communication partners, and how these shifts alter organizational expertise. His work bridges management, communication, and information systems disciplines with particular emphasis on digital transformation. His publication record shows a clear trend toward examining the intersection of artificial intelligence, organizational communication, and workplace transformation. Recent work explores generative AI, digital twins, remote work dynamics, and the organizational implications of new technologies. His research consistently addresses how technological changes reshape organizational structures, communication patterns, and knowledge management practices. Fellow of the International Communication Association (ICA) Fellow of the Academy of Management Ascendant Scholar Award, Western Academy of Management Young Scholar Award, ICA Early CAREER Award, National Science Foundation Industry Studies Fellow, Alfred P. Sloan Foundation Multiple best paper awards from major academic associations Leonardi has consulted extensively with major corporations including Google, Microsoft, General Motors, Cisco, and YouTube on digital transformation initiatives. He has authored more than 70 scholarly articles across management, communication, and information systems journals, along with four influential books including the award-winning 'Car Crashes Without Cars' and 'Technology Choices,' and his recent work 'The Digital Mindset: What it Really Takes to Thrive in the Age of Data, Algorithms, and AI' co-authored with Tsedal Neeley. He has received two major teaching awards for graduate student mentorship and education, demonstrating his commitment to developing the next generation of scholars and practitioners in his field.

Apurva Jainمشاهده پروفایل

دانشیار

• e-business
• e-commerce
• inventory management
• +۷ مورد دیگر

Apurva Jain is an Associate Professor of Operations Management at the School of Business, University of Washington , where they have been since 1999. Their work focuses on supply chain redesign, inventory management, and analytical modeling. PhD, Purdue University (1999) MS, National Institute for Training in Industrial Engineering (1989) BS, Indian Institute of Technology, Roorkee (1988) Research spans supply chain variability reduction , information exchange optimization , and dynamic scheduling . They explore how retailers can buffer uncertainties while leveraging e-commerce opportunities. Key publication themes include multi-channel distribution , priority scheduling , inventory coordination , and capacity pooling . Their work frequently addresses fixed ordering costs , subscription-based rental models , and demand variability . Evert McCabe Endowed Fellow in Private Enterprise MBA Core Professor of the Quarter (Winter 2009) Teaches courses on operations management and supply chain systems , and consults for Motorola and Molex India on process planning. NSF-funded research highlights their industry impact.