جست‌وجوی استاد و پژوهشگر

Josef Schlacherمشاهده پروفایل

پژوهشگر

• Materials Science
• Ceramics Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Dr. Josef Schlacher serves as a Senior Scientist and PostDoc at the University of Leoben's Chair of Structural and Functional Ceramics, specializing in mechanical characterization of 2D/3D ceramic architectures. His research bridges fundamental materials science with industrial applications in advanced ceramics engineering. His academic foundation includes: BSc in Materials Science (2011-2017) Dipl.-Ing. in Materials Science (2017-2019) PhD in Materials Science (2019-2024) Schlacher's research centers on additive manufacturing of ceramics, particularly alumina-based systems. He pioneers techniques for spatially tailored porosity and multi-material approaches to enhance thermal shock resistance and damage tolerance. His work investigates fracture mechanics across scales—from micro-scale toughness measurements to high-temperature failure analysis—enabling next-generation ceramic components for extreme environments. Key innovations include 3D-printed architectures with engineered microstructures that resist thermal cracking and contact damage. His publication trajectory (2020-2025) reveals a strategic focus on translating additive manufacturing capabilities into functional ceramic systems. Early work established mechanical baselines for printed alumina, while recent studies demonstrate sophisticated multi-material designs achieving unprecedented thermal shock resistance through microstructural control. This evolution highlights a deliberate progression from fundamental characterization to application-driven engineering solutions. Recognition includes: JECS Trust Young Researcher Award (2nd place, 2022) CIEC17 Poster Competition (1st prize, 2021) Fractography of Advanced Ceramics Conference (2nd place poster, 2019) As an integral member of the Ceramics Chair research team, Schlacher contributes to ERC projects and contract research initiatives while developing novel testing methodologies for ceramic architectures. His collaborative work with industry partners focuses on standardizing mechanical characterization protocols for additively manufactured ceramics.

Kahadawala Coorayمشاهده پروفایل

استاد

• Modeling continuous statistical distributions
• Statistical inferences
• Actuarial science
• +۱ مورد دیگر

Kahadawala Cooray is a Professor at the Department of Statistics, Actuarial and Data Sciences within the College of Science and Engineering at the University of Nevada at Las Vegas. He holds a Ph.D. from the same institution (2008) and a B.Sc. from the University of Colombo, Sri Lanka (1994). Education : Ph.D. (2008, University of Nevada at Las Vegas), B.Sc. (1994, University of Colombo, Sri Lanka) Cooray specializes in modeling continuous statistical distributions and applying them to actuarial science and medical research. His work includes parametric analysis of renal failure data, Bayesian estimation of composite distributions, and extensions of the Weibull and Gumbel distributions for complex datasets. His research trends focus on creating flexible statistical models for heavy-tailed data, multivariate dependence structures, and applications in insurance risk analysis. Key contributions include generalized copulas, folded logistic distributions, and hybrid Weibull-Pareto models for survival analysis. Scientific Awards : First Ph.D. graduate in mathematical sciences in Nevada (2008) Wolzinger Family Research Scholarship (2008) Cooray teaches courses in statistics and actuarial science, and he is affiliated with the American Statistical Association and its Mid-Michigan Chapter. His collaborations include researchers like M. M. A. Ananda and S. Gunasekera.

Olivier Gevaertمشاهده پروفایل

دانشیار

• Biomedical Data Fusion
• Machine Learning
• Cancer Driver Genes
• +۶ مورد دیگر

Olivier Gevaert is an Associate Professor at Stanford University with dual appointments in the Department of Medicine (Biomedical Informatics) and the Department of Biomedical Data Science. He leads interdisciplinary research at the intersection of machine learning and biomedical data fusion, with significant contributions to cancer genomics, imaging biomarkers, and synthetic biomedical data generation. His work spans multiple Stanford institutes including Bio-X, Cancer Institute, and Neurosciences Institute. His research focuses on: Biomedical data fusion across molecular, cellular, and tissue scales Multi-omics integration for cancer driver gene discovery Imaging genomics/radiogenomics Medical digital twin frameworks Synthetic data generation for machine learning Key awards include Faculty Fellow at Stanford Center at Peking University and fellowships from King Baudouin Foundation and Belgian American Educational Foundation. His lab has produced transformative tools like Moonlight, EpiMix, SEQUOIA, and RNA-GAN. He teaches foundational courses in biomedical data science and machine learning approaches.

Minsu Liuمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Chemical Engineering
• Nanotechnology
• +۳ مورد دیگر

Minsu Liu serves as a Senior Research Fellow at Monash University's Suzhou campus under the Office of the Pro Vice-Chancellor and President, actively supervising PhD students and maintaining a robust research profile with 40+ publications since 2014. His academic foundation includes a PhD in Chemical Engineering (awarded March 2018) and a Bachelor of Engineering (Honours) in Chemical Engineering (awarded March 2013), establishing expertise in advanced materials development. Dr. Liu's research spans Materials Science and Chemical Engineering , focusing on sustainable technologies that advance UN Sustainable Development Goals. Key contributions include: Thermal management solutions using 2D materials for energy-efficient buildings Electrochromic smart windows enabling dynamic radiative cooling Graphene-based neural interfaces for biomedical applications Innovative battery and hydrogen storage technologies Analysis of his 2023-2025 publications reveals a strategic emphasis on boron nitride and graphene composites, with fabrication breakthroughs in 3D printing and wet-spinning techniques driving applications in energy conservation and healthcare diagnostics. He currently contributes as Associate Investigator to the $5$-year project 'Development of direct reduction technologies based on fluidized bed systems' (2024-2029), while mentoring the next generation of researchers through PhD supervision. Though specific laboratory infrastructure isn't detailed in source materials, his extensive collaborations across materials engineering and sustainable technology domains indicate leadership in multidisciplinary research teams addressing global energy challenges.

• Electromagnetic Structured Media
• Metamaterials
• Plasmonics
• +۴ مورد دیگر

Philippe Tassin is a Professor of Physics at Chalmers University, specializing in electromagnetic structured media and computational electrodynamics. He teaches optics, quantum mechanics, and computer science courses, earning recognition through the Golden Chalk award and Chalmers' Pedagogical Prize. M.Sc. and Ph.D. (summa cum laude) from Free University of Brussels Postdoctoral work at Iowa State University and Ames Laboratory (US DOE national lab) His research spans metamaterials, plasmonics, and nanophotonics, with significant contributions to inverse design methodologies using machine learning. He has authored influential papers in Science , Nature Photonics , and Physical Review Letters , and frequently presents at international conferences. Recent publications highlight advancements in liquid metal composites for electromagnetic absorption, AI-driven metasurface design, and adaptive meshing for photonic simulations. His work integrates computational physics with experimental validation across multiple electromagnetic domains. KAW Fellowship Swedish Research Council Grant IEEE & SPIE Fellowships BAEF Alumni Award Frans Van Cauwelaert Award (Royal Flemish Academy) As editor of Photonics and Nanostructures , member of the Young Academy of Sweden, and vice-chair of IEEE Photonics Sweden Chapter, he actively contributes to academic leadership and public science communication.

Alejandro Russoمشاهده پروفایل

استاد

• Computer Science
• Information Security
• Functional Programming
• +۳ مورد دیگر

Alejandro Russo is a Professor at Chalmers University of Technology , specializing in Information Flow Control (IFC) , Secure Programming Languages , and Functional Programming . His research bridges theoretical foundations and practical implementations, focusing on mitigating timing channels , covert channels , and data leakage in concurrent systems. Developed novel frameworks for Differential Privacy with provable accuracy bounds Pioneered COWL integration for browser security and instruction-based scheduling to prevent cache timing attacks Led major projects like HIPSTER (hybrid static/dynamic IFC) and AppFlow (practical IFC deployment) His publications reveal expertise in security libraries for Haskell and Python , with a focus on faceted execution , label manipulation , and mechanized security proofs . Students under his supervision have explored topics ranging from secure eDSLs to privacy-preserving compilation techniques . Scientific awards : Google Research Award (2011) for Python taint analysis Advising and grants : Principal Investigator for VR , STINT , and Google Research Award Supervised 12+ PhD and Master’s students in security and functional programming research

Sung Kyun Parkمشاهده پروفایل

استاد

• Environmental epidemiology
• Multi-pollutants and pollutant mixtures
• Exposome
• +۷ مورد دیگر

Sung Kyun Park, ScD, MPH is a Professor in both Epidemiology and Environmental Health Sciences at the University of Michigan School of Public Health, with additional affiliation at the Kresge Hearing Research Institute within the University of Michigan Medical School. His academic journey began at Seoul National University where he earned his BS in Food Science and Technology (1998) and MPH in Environmental Health (2000), followed by an ScD in Environmental Epidemiology from Harvard University (2005). Dr. Park's research focuses on environmental epidemiology with particular emphasis on multi-pollutant exposures and their impact on human health. His work spans several critical health domains including cardiometabolic diseases, reproductive aging in women, and neurodegenerative conditions like Alzheimer's disease. He has developed innovative statistical approaches for assessing chemical mixtures through his Environmental Risk Score (ERS) methodology. His laboratory, the Michigan Multi-Pollutant Epidemiology Group (MPEG), leads major research initiatives including the Study of Women's Health Across the Nation Multi-Pollutant Study (SWAN-MPS) and the Study of the Environment and Alzheimer's Disease and related Dementias (SEAD). These projects investigate how environmental exposures individually and as mixtures affect health outcomes across the lifespan. Analysis of Dr. Park's recent publications reveals a strong focus on chemical mixtures, particularly PFAS, heavy metals, and endocrine disruptors, and their associations with metabolic disorders, women's health outcomes, cognitive function, and neurodegenerative diseases. His work frequently employs sophisticated statistical methods to address the complexities of multi-pollutant exposures. Dr. Park serves as Principal Investigator on multiple NIH-funded research projects including R01 grants examining environmental factors in Alzheimer's disease (AG070897) and metabolic disease (ES026578), demonstrating sustained research excellence and funding success. In addition to his research, Dr. Park is actively involved in student mentorship and education, teaching advanced courses in environmental epidemiology data analysis using R programming language. His commitment to training the next generation of environmental health scientists is evident through his course development and teaching of EHS675/EPID675, EPID798, and EPID815.

Paul P. Maglioمشاهده پروفایل

استاد

• Human-computer interaction
• Distributed cognition
• Service science
• +۳ مورد دیگر

Paul P. Maglio is a Professor of Management and Cognitive Science at the University of California, Merced, where he is affiliated with the School of Engineering and the Department of Management of Complex Systems. As one of the founders of the field of service science, he has established himself as a leading researcher at the intersection of management, cognitive science, and information systems. His work spans from theoretical foundations of service systems to practical applications of service innovation. Maglio received his bachelor's degree in computer science and engineering from MIT and earned his Ph.D. in cognitive science from the University of California, San Diego. His academic journey reflects his interdisciplinary approach that bridges technical and social sciences. His research interests focus on human-computer interaction, distributed cognition, and service science, with particular emphasis on how technology enables service innovation and value creation. Maglio's work explores how cognitive principles can inform the design of service systems and how service systems can be understood through the lens of complex adaptive systems. His research has practical applications in digital service transformation, service design, and the integration of artificial intelligence in service contexts. Analysis of his recent publications reveals a clear trajectory toward understanding service systems in the age of AI. His work increasingly examines how autonomous technologies transform human-centered service systems, with particular attention to trust in AI systems, digital service transformation, and the ethical implications of data-driven business models. The publications show a consistent focus on service science as an interdisciplinary field that connects management, information systems, and cognitive science. Maglio served as Editor-in-Chief of INFORMS Service Science from 2013 to 2018 and is the lead editor of the Handbook of Service Science, Volumes I and II. He has published over 125 papers across computer science, cognitive science, and service science domains, establishing him as a prolific contributor to these fields. As an educator, Maglio teaches courses including Technology-enabled Service, Foundations of Management of Complex Systems, Service Science, and Service Innovation. His teaching reflects his research interests and commitment to developing the next generation of service science scholars and practitioners. His work with students likely focuses on the practical application of service science principles to real-world business challenges. Maglio directs research that examines the intersection of cognitive science and service systems, with particular attention to how people interact with and through service systems. His work on epistemic actions and distributed cognition provides theoretical foundations for understanding how humans and technology collaborate in service contexts.

Dalina Kallulliمشاهده پروفایل

دانشیار

• Theoretical Linguistics
• Comparative Syntax
• Syntactic Variation
• +۷ مورد دیگر

Dalina Kallulli is an Associate Professor at the University of Vienna , Department of Linguistics. Since 2012, she has been a leading figure in theoretical and comparative syntax, with a focus on Albanian and Balkan languages . Her work bridges syntax, semantics, and morphology, emphasizing interfaces and universals. Education: PhD in Theoretical Linguistics (University of Durham, 1999), Cand.Philol. in General Linguistics (University of Trondheim, 1995), MA in English (University of Tirana, 1991) Research Interests include grammar theory , comparative syntax , syntax-semantics interfaces , and language cognition . Her publications explore clitic doubling, voice systems, and cross-linguistic morphological phenomena. Notable fellowships include the Hertha Firnberg Fellowship (2004-2007) and APART Fellow (2008-2010). Recent Publications highlight diachronic aspects of voice systems, form copy in wh-dependencies, and the role of diminutives in suppressing root projections. She has been a visiting scholar at institutions like the University of Massachusetts at Amherst and New York University. Awards and Invitations: Hertha Firnberg Fellowship (FWF) APART Fellow (Austrian Academy of Sciences) W3 Professor (acting chair) at Ludwig Maximilian University of Munich Invited talks at major international conferences (GLOW, DGfS, NELS) Teaching encompasses courses in Theory of Grammar , Introductory Linguistics , and seminars on syntactic typology.

Alva H. Taylorمشاهده پروفایل

دانشیار

• Business strategy
• Technology
• Innovation management
• +۳ مورد دیگر

Alva H. Taylor serves as Associate Professor of Business Administration at the Tuck School of Business, Dartmouth College, where he has been tenured since 2010. He holds the dual leadership roles of Senior Associate Dean for Executive Learning and Faculty Director of the Glassmeyer/McNamee Center for Digital Strategies, Tuck's flagship initiative examining how digital technology impacts business strategy. Previously, he served as Assistant Professor (2000-2005) and Associate Professor (2005-2009) at Tuck, and as Visiting Assistant Professor at Kellogg Graduate School of Management (1997-2000). Professor Taylor earned his PhD from Stanford University's Graduate School of Business in 2000, following an MBA, ME, and BS from Cornell University in 1984, 1983, and 1982 respectively. Before academia, he worked as a Senior Manager at KPMG's consulting division, specializing in business strategy and information technology for growing companies. His research focuses on innovation processes, entrepreneurship, technological change, and strategic decision-making in fast-changing environments . Taylor has made significant contributions to understanding how organizations manage creative groups for sustained innovation, organizational learning in information-rich environments, and digital transformation in traditional enterprises. His work with comic book creators demonstrated that creators with cross-genre experience achieve greater success than specialists, highlighting the value of diverse experience in creative fields. His recent scholarship examines how nonprofits can implement digital-first strategies to enhance social impact, emphasizing the importance of aligning technology with organizational mission. Taylor teaches courses including Design Thinking for Strategic Innovation and Strategic Change in the Turbulent Digital Age in both MBA and Executive Education programs. He designed and directs the Digital Excellence for Minority Entrepreneurs Executive Education Program in partnership with Google, demonstrating his commitment to inclusive digital transformation. His research has been featured in prominent publications including the Wall Street Journal and Stanford Social Innovation Review, where he emphasizes that digital strategy must begin with a clear understanding of organizational goals before technology implementation. As Faculty Director of the Center for Digital Strategies, Taylor leads initiatives that bring together executives, academics, and students to advance management theory and practice in the networked economy. The Center explores technology's impact on product development, supply chains, marketing, and business model transformation, addressing challenges throughout the extended enterprise including globalization, information security, and organizational change. Under his leadership, the Center has hosted events like the Dartmouth AI Conference and developed programs that bridge academic research with corporate application.

• Explainable Artificial Intelligence Applications in Cyber Security
• Information Security
• Self-Protecting System
• +۲ مورد دیگر

Dr. Sharmin Jahan serves as a tenure-tracked Assistant Professor in the Department of Computer Science at Oklahoma State University since August 2022. Her research centers on dynamic security assurance for autonomous systems (self-adaptive systems) through explainable AI models that interpret uncertain operational environments to enable autonomous security decision-making and compliance maintenance. Her educational background includes a Ph.D. and Master's in Computer Science from the University of Tulsa (2018-2021), and a B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (2007-2012). She teaches Introduction to Computer Security (CS 4243/5243) and leads Dr. Jahan's Lab focused on security for autonomous systems. Research interests span Explainable AI in Cyber Security, IoT Security, Self-Protecting Systems, and Micro-service Security. Her work develops frameworks that embed security awareness in dynamic systems, using XAI to interpret environmental uncertainty and maintain security compliance through autonomous adaptation. Current projects explore machine learning models for security analysis and XAI challenges in domain-specific security applications. Recent publications (2025-2020) demonstrate concentrated research on security assurance in self-adaptive systems, particularly for IoT and microservice architectures. Key trends include XAI-driven anomaly detection, security profile extraction from operational data, and risk-adaptive access control. Subfield specializations cover service mesh security, blockchain-based access frameworks, runtime trust evaluation, and autonomous threat containment. Scientific awards include: Principal Investigator for 2023 Arts and Sciences Summer Research Award on XAI-enhanced security awareness in autonomous systems Senior personnel on 2022 NSF RET Grant for Big Data and Machine Learning research experiences She advises M.Sc. student Masrufa Bayesh and teaches graduate/undergraduate security courses. Her lab actively investigates frameworks for security assurance in dynamic environments, with emphasis on IoT and microservice architectures requiring continuous adaptation to environmental changes while maintaining security compliance. Dr. Jahan's research team develops analysis and assessment models to determine security compliance degradation risks and optimal adaptation strategies, enhancing system resiliency through separate analytical frameworks integrated with her PhD-developed assessment methodology.

Asteris Apostolidisمشاهده پروفایل

پژوهشگر ارشد

• Aviation Maintenance, Repair & Overhaul
• Novel Aircraft & Propulsion Architectures
• Sustainability in Aviation & Aeronautics
• +۴ مورد دیگر

Dr. Asteris Apostolidis is a Senior Research Fellow at the Faculty of Technology, Amsterdam University of Applied Sciences (AUAS), and serves as Lead for Technical Innovation at KLM Royal Dutch Airlines. His expertise spans aviation engineering, artificial intelligence, and sustainable technologies. He co-chairs the SAE G-34/EUROCAE WG-114 committee for AI certification in aviation and has held roles including Associate Professor and Lab Lead at AUAS. Education: PhD in Computational Aerothermodynamics (Cranfield University, 2015) MSc in Aerospace Propulsion (Cranfield University, 2010) Dipl.-Ing. in Mechanical Engineering (Aristotle University of Thessaloniki, 2009) His research focuses on Aviation Maintenance, Sustainable Aircraft Architectures, AI Integration, and Digital Twins . He has pioneered projects with KLM, Airbus, and Rolls-Royce, addressing challenges like gas turbine performance modeling and predictive maintenance. His recent work explores electric aircraft operations for interisland mobility and trustworthy AI-driven prognostics for gas turbines. Awards: Recipient of the Outstanding Contribution in Reviewing (2019), MSc Research Grant (2009), and PhD Research Grant (2010). Collaborations: Active partnerships with TU Delft, Royal Netherlands Aerospace Centre (NLR), and SAE International. Leads initiatives in innovation strategy and sustainability transformation across academia and industry.

• Structural Health Monitoring (SHM)
• Machine Learning
• Pattern Recognition
• +۵ مورد دیگر

Professor Nikolaos Dervilis is a faculty member in the Department of Mechanical Engineering at the University of Sheffield, serving as Director of Research and Innovation for the School of Mechanical, Aerospace and Civil Engineering. He holds a BSc from the National and Kapodistrian University of Athens, an MSc in Sustainable and Renewable Energy Systems from the University of Edinburgh, and a PhD from the University of Sheffield in Mechanical Engineering with a focus on machine learning for Structural Health Monitoring (SHM). His research emphasizes SHM, renewable energy systems (particularly wind turbines), data analysis, nonlinear dynamics, and advanced signal processing. His work spans population-based SHM (PBSHM), machine learning applications in structural dynamics, and probabilistic modeling. Recent publications focus on active learning frameworks, Bayesian methods, and generative models for damage prognosis. He collaborates with industry on wind energy and has contributed to datasets for experimental bridges and aerospace components. Notably, he leads efforts in transfer learning and domain adaptation for heterogeneous structural populations. Research highlights include developing frameworks for risk-informed decision support, model selection via approximate Bayesian computation, and digital twin tools for engineering systems. His lab, part of the Dynamics Research Group, addresses challenges in energy systems, composite materials, and condition monitoring of critical infrastructure.

Scott Bartonمشاهده پروفایل

دانشیار

• Music Composition
• Robotics Engineering
• Psychology
• +۶ مورد دیگر

Scott Barton is an Associate Professor of Music at Worcester Polytechnic Institute (WPI), with affiliate appointments in Robotics Engineering, Computer Science, and Psychology. He leads the Music, Perception and Robotics (MPR) Lab and co-founded Expressive Machines Musical Instruments (EMMI), focusing on robotic musical instrument design and human-robot interaction. His research spans rhythm perception, creativity, and audio production, blending psychology, engineering, and music. His teaching includes courses on music and mind, musical robotics, digital sound, and algorithmic composition. He actively engages in performances and workshops, such as the 2024 International Computer Music Conference in Seoul and the Algorave event in Worcester. Awards: None explicitly listed in the provided texts. His contributions include over 15 publications in journals like Music Perception and conferences such as NIME. He advises students in interdisciplinary projects at the MPR Lab and collaborates on robotic instrument development. Labs: Directs the MPR Lab and co-founded EMMI, focusing on innovative musical robotics and human-robot interaction.

Jessica Siegel Christianمشاهده پروفایل

استاد بالینی

• Team Dynamics
• Negotiations
• Counterproductive Workplace Behaviors
• +۳ مورد دیگر

Jessica Siegel Christian serves as Clinical Professor of Organizational Behavior at the University of North Carolina at Chapel Hill's Kenan-Flagler Business School, teaching Leading and Managing, Negotiations, and Groups and Teams across Undergraduate Business and MBA programs. She earned her BA from Tulane University and PhD from the University of Arizona, establishing foundational expertise in organizational dynamics. Her research examines team responses to unfair treatment, emotional/retaliatory behavior transfer, team compositional effectiveness, and cognition-driven adaptation. Current work investigates how teams navigate different change types, with implications for leadership strategy and organizational resilience. Studies reveal how workplace friendships create performance tradeoffs, leadership transitions trigger strategic reconsideration, and turnover intentions generate hidden behavioral costs. Recent publications demonstrate consistent focus on team adaptation mechanisms, growth mindset applications, and leadership-change impacts across organizational behavior, psychology, and management disciplines. Her work appears in Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, Personnel Psychology, and Journal of Business Ethics, with media coverage in The Wall Street Journal highlighting findings on team retaliation against supervisor misconduct and leadership transition benefits.