جست‌وجوی استاد و پژوهشگر

Chris G. Van de Walleمشاهده پروفایل

استاد

• Computational Materials Science
• Semiconductors
• Nitride Materials
• +۷ مورد دیگر

Chris G. Van de Walle is the Herbert Kroemer Distinguished Professor in the Department of Materials at the University of California, Santa Barbara's College of Engineering. As a member of the National Academy of Engineering and fellow of multiple prestigious scientific societies including the American Physical Society and Materials Research Society, he leads the Computational Materials Group which is part of UCSB's strong computational science cluster within the Materials Department. His research interests focus on novel electronic materials, particularly wide-band-gap semiconductors (III-V nitrides, II-VI compounds), transparent conductors, complex oxides, loss mechanisms in light emitters, two-dimensional conductors, quantum information science, and the physics and chemistry of hydrogen interactions with solids. His group uses first-principles computational techniques to study atomic and electronic structure of crystalline, polycrystalline and amorphous materials, interfaces, surfaces, defects, and heterojunctions. Analysis of his recent publications reveals a strong focus on semiconductor materials for quantum technologies, with particular emphasis on GaN, Ga 2 O 3 , and related compounds. His work combines computational materials science with applications in optoelectronics, quantum information, and energy technologies, demonstrating consistent innovation in understanding defects and their role in material properties. Major Awards and Recognitions: Aneesur Rahman Prize for Computational Physics (APS) Materials Theory Award (MRS) Vannevar Bush Faculty Fellowship (DoD) John Bardeen Award (TMS) Medard W. Welch Award (AVS) Highly Cited Researcher (Clarivate Analytics) Professor Van de Walle has mentored numerous successful researchers, including Dr. Fangzhou Zhao (Corbett Prize winner) and Dr. Mark Turiansky (APS Nicholas Metropolis Award recipient). His group maintains strong connections with the UCSB Quantum Foundry and the Solid State Lighting and Energy Electronics Center, demonstrating collaborative research efforts across multiple disciplines. The group actively investigates defects for quantum information science, loss mechanisms in light emitters, nitride semiconductors, halide perovskites, oxides, and hydrogen interactions with materials.

William F. Schneiderمشاهده پروفایل

استاد

• Carbon Capture and Conversion
• Catalysis
• Energy Conversion and Efficiency
• +۷ مورد دیگر

William F. Schneider is the Keating-Crawford Professor of Chemical Engineering and Chair of the Department of Chemical and Biomolecular Engineering at the University of Notre Dame's College of Engineering. He also holds a concurrent professorship in the Department of Chemistry and Biochemistry. Dr. Schneider leads the Computational Environmental Catalysis research group focused on applying density functional theory (DFT) simulations to solve problems in energy and the environment. Dr. Schneider's educational background includes a Ph.D. in Chemistry from Ohio State University (1991) and a B.S. in Chemistry from the University of Michigan-Dearborn (1986). Before joining Notre Dame in 2004 as an Associate Professor, he worked at the Ford Motor Company Research Laboratory where he developed expertise in catalytic chemistry related to automobile emissions control. Dr. Schneider's research focuses on molecular-scale understanding of heterogeneous catalysis, with particular emphasis on energy-related applications. His group uses computationally intensive molecular simulations to understand and predict chemical properties and reactivity from first principles. Key research areas include: Zeolites for NOx reduction Catalysis at metal surfaces Catalysis for shale gas conversion Energy-directed catalysis Carbon capture and conversion Sustainable bio/fossil fuels His recent publications demonstrate a strong focus on computational approaches to understanding catalytic mechanisms, particularly in zeolite systems for environmental applications and energy conversion processes. The research often combines density functional theory with microkinetic modeling to provide molecular-level insights into catalytic processes. Dr. Schneider has received numerous honors including: Dorini Family Chair of Energy Studies Keating-Crawford Professor of Chemical Engineering Fellow of the American Association for the Advancement of Science James A. Burns, C.S.C., Award for outstanding mentorship of doctoral students Executive Editor of the Journal of Physical Chemistry C As an advisor, Dr. Schneider mentors numerous graduate students and postdocs in the Computational Molecular Sciences and Engineering Laboratory (CoMSEL). His research group collaborates closely with experimentalists to validate computational findings and accelerate their application. Current projects include investigations into plasma-catalytic processes, copper-zeolite systems for methane oxidation, and computational screening of catalysts for various energy applications. Dr. Schneider's research is supported by various grants focusing on energy conversion, environmental catalysis, and computational materials design. He leads the Computational Environmental Catalysis group which is part of the broader CoMSEL research community at Notre Dame.

Florian Schäferمشاهده پروفایل

استادیار

• Numerical Analysis
• Computational Mathematics
• Machine Learning
• +۹ مورد دیگر

Florian Schäfer is an Assistant Professor at the School of Computational Science and Engineering at Georgia Tech. His research spans numerical computation, statistical inference, and competitive games, with applications in materials science, turbulence modeling, computer graphics, and computational geometry. He will join the Courant Institute at NYU in September 2025. PhD in Applied and Computational Mathematics, Caltech Bachelor’s and Master’s in Mathematics, University of Bonn His work focuses on information geometric mechanics to design structure-preserving numerical methods for continuum mechanics. This includes: State-of-the-art solvers for elliptic PDEs via Gaussian elimination and conditional independence Efficient multi-agent optimization algorithms Information geometric regularization for compressible fluid dynamics Enabling the first compressible fluid simulation exceeding 100 trillion grid cells His recent research trends integrate: Machine learning for materials science (e.g., active learning, Bayesian approaches) Stochastic modeling of microstructures and phase-field problems Neural operators for super-resolution fluid dynamics Generative models for polycrystalline material datasets Optimal transport and diffusion models for conditional density transformations High-performance computing at extreme scales Florian collaborates with researchers including Houman Owhadi, Jessie Liu, Spencer Bryngelson, Tamer Zaki, and Ali Mani. He actively presents at conferences like SIAM and UCLA seminars, and is recruiting PhD students for work at the Courant Institute starting 2025.

• Materials Science
• Computational Materials Science
• Battery Technology
• +۶ مورد دیگر

R. Edwin García is a Professor at the School of Materials Engineering at Purdue University, where he has been faculty since 2005. He holds appointments in the Materials Engineering department within Purdue's College of Engineering, specifically in the School of Materials Engineering located in the Neil Armstrong Hall of Engineering at Purdue's West Lafayette campus. His educational background includes: B.S. in Physics from the National University of Mexico (1996) M.S. in Materials Science and Engineering from Massachusetts Institute of Technology (2000) Ph.D. in Materials Science and Engineering with a minor in Applied Mathematics from Massachusetts Institute of Technology (2003) Professor García's research focuses on the design of materials and devices through the development of a fundamental understanding of the solid state physics of individual phases, their short and long range interactions, and associated microstructural properties and time evolution. His current research emphasizes establishing relationships between material properties and resultant performance and degradation in electrochemical systems. He integrates computational approaches ranging from kinetic Monte Carlo, phase field and level set methods, to finite elements, finite volumes, and symbolic computing. His work particularly addresses microstructure design, crystallographic texture, and grain boundary science and engineering to control the topology of underlying phases and establish practical relations between processing, microstructure, and material properties. His recent publications demonstrate a strong focus on lithium-ion battery technology, ferroelectric materials, and computational modeling of material behaviors. The research trends show increasing integration of machine learning with traditional computational methods, exploration of novel sintering techniques like flash sintering, and deeper investigation into the fundamental mechanisms of material degradation in energy storage systems. His work spans multiple length scales from atomistic to continuum modeling, reflecting a comprehensive approach to materials design and analysis. Professor García teaches several courses including MSE 230 (Structure and Properties of Materials), MSE 350 (Thermodynamics of Materials), MSE 597G (Modeling and Simulation of Materials), MSE 597I (Introduction to Computational Materials), and MSE 597N (Physical Properties of Crystals). He mentors graduate students in areas related to computational materials science, battery technology, and microstructural evolution. His research group, the Laboratory of Computational Microstructures, focuses on developing home-grown analytical theories and algorithms to resolve relevant time and length scales in materials systems. The group's work has significant implications for portable power sources, including rechargeable batteries and fuel cells, as well as for ferroelectric ceramic applications.

Kelly Askewمشاهده پروفایل

استاد

• Socialism/Postsocialism
• Property Rights Formalization
• Land Conflicts
• +۹ مورد دیگر

Kelly Askew is a Professor of Anthropology and Afroamerican & African Studies at the University of Michigan’s College of Literature, Science, and the Arts. She holds a PhD in Anthropology (Harvard, 1997) and a BA in Music and Anthropology (Yale, 1997), with over three decades of fieldwork in Tanzania and Kenya. Education PhD in Anthropology, Harvard University (1997) BA in Music and Anthropology, Yale University Key Roles Chair of the Department of Anthropology Niara Sudarkasa Collegiate Professor Her research bridges three primary domains: Postsocialist transitions (e.g., property rights formalization and land conflicts), art and political aesthetics (e.g., Swahili music, African visual arts, ethnographic filmmaking), and indigenous political movements (e.g., Maasai and Parakuyo pastoralists). She has produced award-winning documentaries like The Chairman and the Lions (2013) and Maasai Remix (2019), which examine cultural resilience and land rights. Scientific awards include being a finalist for the African Studies Association Herskovits Award (2002). Recent publications analyze land dispossession mechanisms, postsocialist cultural production, and media’s role in political identity. She has secured grants from the National Science Foundation, National Endowment for the Humanities, and Ford Foundation.

August Evrardمشاهده پروفایل

استاد

• Cosmology
• Astrophysics
• Galaxy Clusters
• +۲ مورد دیگر

Professor August Evrard is a distinguished academic at the University of Michigan, holding the Arthur F. Thurnau Professorship in Physics and Astronomy. He is affiliated with the Department of Physics within the College of Literature, Science, and the Arts. Known for his contributions to cosmology and astrophysics, he pioneered the Problem Roulette tool, recognized with the Provost's Teaching Innovation Prize. His research focuses on galaxy clusters, dark matter, and cosmological surveys like the Dark Energy Survey (DES) and XXL Survey. He has been honored as an AAS Fellow (2025) and has contributed to advancements in physics education through innovative teaching methods and technologies. In research, Prof. Evrard explores topics such as dark matter halo dynamics, galaxy cluster properties, and weak lensing analyses. His work spans observational cosmology, computational modeling, and multi-wavelength astronomy. Notable projects include studies on galaxy cluster mass distributions, the relationship between X-ray emissions and velocity dispersions, and the application of machine learning to astrophysical data analysis. His contributions to education highlight the integration of AI-driven tools to enhance learning, as seen in initiatives like the Problem Roulette and course recommendation systems. Prof. Evrard's awards include the Provost's Teaching Innovation Prize for Problem Roulette and his AAS Fellowship. His academic leadership and innovative approaches to both research and education solidify his role as a pivotal figure in astrophysics and STEM pedagogy.

James S. Speckمشاهده پروفایل

استاد

• Electronic and Photonic Materials
• Wide Bandgap Semiconductors
• GaN-Based Semiconductors
• +۳ مورد دیگر

James S. Speck is the Seoul Viosys Professor of Solid State Lighting in the Department of Materials at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on the materials science of wide bandgap semiconductors such as GaN and β-Ga₂O₃, emphasizing epitaxial growth, defect engineering, and device applications. He holds over 725 publications and has co-founded Soraa, a company commercializing GaN-based lighting technologies. Education: Sc.D. in Materials Science (MIT), S.M. in Metallurgy (MIT), B.Sc.Eng (University of Michigan). Research Interests: GaN-based semiconductors, nitride materials, epitaxial growth mechanisms, nonpolar/semipolar GaN, and β-Ga₂O₃. His work addresses threading dislocations, defect dynamics, and optoelectronic device performance. Awards: IEEE Photonics Society Aron Kressel Award, APS Fellowship, MRS Fellowship, and multiple best paper awards. Key Contributions: Pioneered MBE growth of GaN, developed V-defect engineering for LEDs, and advanced β-Ga₂O₃ research. Collaborates on Soraa’s high-brightness LED technologies. Lab/Teams: The Speck Group studies GaN heterostructures, defect mitigation, and wide bandgap semiconductor applications. Recent work includes V-defect-controlled LEDs and β-Ga₂O₃ etching techniques.

Hongli Zhuمشاهده پروفایل

دانشیار

• Electrochemical energy storage
• Sustainable biomass-derived materials
• Advanced manufacturing
• +۶ مورد دیگر

Dr. Hongli (Julie) Zhu is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University's College of Engineering. Her research focuses on sustainable energy storage, multifunctional materials, and advanced manufacturing, with emphasis on developing environmentally friendly biomass-derived materials, all solid-state batteries, and flow batteries. She leads the ZHU Lab at Northeastern University, which is dedicated to creating safer, cheaper, and higher performance energy storage solutions while exploring multifunctional materials derived from nature. Dr. Zhu received her PhD from South China University of Technology and Western Michigan University (2004-2009). She conducted postdoctoral research at KTH Royal Institute of Technology in Sweden (2009-2011), focusing on biodegradable and renewable biomaterials from natural wood, followed by additional postdoctoral work at the University of Maryland (2012-2015), where she researched nanocellulose and energy storage. Dr. Zhu's research spans multiple disciplines at the intersection of materials science, energy storage, and sustainable manufacturing. Her work addresses critical challenges in energy storage technology, including developing all solid-state batteries, flow batteries, and high energy density battery systems. She has pioneered research in sustainable biomass-derived materials, particularly investigating cellulose, hemicellulose, and lignin for applications in bendable, implantable, and biocompatible electronics. Her lab also focuses on advanced manufacturing techniques, including high-speed roll-to-roll processing for emerging advanced materials and devices. Analysis of Dr. Zhu's publication record reveals a strong focus on next-generation battery technologies, particularly solid-state systems. Her research demonstrates significant contributions to understanding and improving lithium dendrite suppression, electrode architecture optimization, and interface stabilization in solid-state batteries. She has also made substantial advances in sustainable materials derived from natural resources, developing applications for cellulose nanostructured fibers, paper, and aerogel/hydrogel systems. MRS Communications Early Career Distinguished Presenters and JMR Distinguished Invited Speakers (2024) Selected in Stanford University List of Top 2% Scientists Worldwide (2021-2024) College of Engineering Faculty Fellow (2023) Soren Buus Outstanding Research Award (2022) Women in Materials Science, Advanced Materials (2021 and 2022) Women Scientists at the Forefront of Energy Research, ACS Energy Letters (2020) Innovator of the Year 2013, Maryland Jakob Wallenberg Scholarship, Sweden Dr. Zhu has secured significant research funding from various sources, including the National Science Foundation and Department of Energy. Her current projects include "Uncovering the mechano-electro-chemo mechanism of fresh Li in sulfide based all solid-state batteries through operando studies" (NSF), "Enabling Advanced Electrode Architecture through Printing Technique" (DOE), and "Engineering the Metal Sulfide Interface in All Solid State Batteries through Operando Study" (NSF). She collaborates with industry partners including Rogers Corporation and has developed patented technologies related to sustainable materials and energy storage. Dr. Zhu serves as Codirector of Advanced & Intelligent Manufacturing, Editor of Progress in Materials Science, and on the Editorial Advisory Board of Chemical Society Reviews. The ZHU Lab at Northeastern University is a highly interdisciplinary research group that bridges scales from the nanoscopic to macroscopic and system level. The lab's work has led to numerous patents, including "Natural fiber composites as a low-cost plastic alternative" and "Fire-retardant Nanocellulose Aerogel, and Methods of Preparation and Uses Thereof." The group focuses on making energy storage safer, cheaper, and higher performing while exploring multifunctional materials derived from nature, with particular emphasis on applying high-speed roll-to-roll manufacturing to emerging advanced materials and devices.

Isabel Rechbergمشاهده پروفایل

دانشیار

• Knowledge Management
• Organizational Learning
• Employee Engagement
• +۵ مورد دیگر

Dr. Isabel D. W. Rechberg is an Associate Professor of Management at the Anderson College of Business and Computing, Regis University. She holds a Ph.D. in Management from the University of Kent, UK, a Postgraduate Certificate in Higher Education, and advanced degrees in Labor Law and Business Management from institutions in Australia and Belgium. Her research focuses on Knowledge Management, Organizational Learning, Emotional Intelligence, and Employee Engagement, emphasizing individual-centric approaches. She has published extensively in journals like the Journal of Knowledge Management and European Management Review, and co-authored chapters in Palgrave and Kogan Page publications. Recognized with awards including the 2021 Easter Academy of Management Best Conceptual Paper, her work bridges theory and practice, addressing ethical dimensions and human elements in organizational dynamics. Education: Ph.D. in Management, University of Kent, UK (2014) Postgraduate Certificate in Higher Education, University of Kent (2011) M.A. in Labor Law and Relations, University of Sydney (2008) B.A. in Business and Human Resources Management, Vesalius College (2006) Research Interests: Dr. Rechberg’s scholarship explores how mindfulness, emotional intelligence, and ethical frameworks enhance workplace relationships and organizational learning. Her work critiques traditional knowledge management paradigms, advocating for individual agency and fairness in knowledge ownership. Recent studies include the role of self-determination theory in knowledge sharing and cross-cultural challenges in global initiatives like the Belt and Road. Teaching & Service: She teaches graduate and undergraduate courses in Management, Leadership, and Organizational Behavior. At Regis, she serves on the Academic Council and previously held roles at CUNY, including College Council membership and curriculum development. Her industry experience includes coaching accreditation and roles in recruitment and human resources. Awards: 2021 Easter Academy of Management Best Conceptual Paper Award 2021 PSC-CUNY Grant 2020 Top-Downloaded Paper Recognition in Knowledge and Process Management 2011 British Academy of Management Best Full Paper Award Advising & Grants: Supervised honor students on topics like ethical leadership, gender inequality in HR systems, and corporate social responsibility. Secured grants including the 2021 PSC-CUNY award. Active in peer review for leading management journals and conferences.

William Harbertمشاهده پروفایل

استاد

• Geophysics
• Seismic Processing
• Microseismic Analysis
• +۵ مورد دیگر

William Harbert is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, where he leads research in geophysics and subsurface characterization. His work bridges fundamental geophysical principles with practical applications in energy and environmental systems. Education: MS in Exploration Geophysics from Stanford University PhD in Geophysics from Stanford University Research focuses on seismic analysis across multiple scales, from micro-CT to surface seismic. His group specializes in advanced processing of microseismic, reflection seismic, and VSP data to image subsurface structures and understand pore-scale dynamics. Current work integrates deep learning for geophysical object detection and classification, with emphasis on organic shale systems and CO 2 storage monitoring. Key areas include rock physics, microseismicity analysis, and environmental geophysics for water quality assessment. Publication trends show strong emphasis on energy-related geophysics, particularly hydraulic fracturing monitoring, CO 2 sequestration verification, and unconventional reservoir characterization. Recent work increasingly incorporates machine learning techniques and addresses environmental monitoring challenges in subsurface operations. Scientific recognition: DOE ORISE Research Associate Resident Institute Fellow of the NETL-Institute for Advanced Energy Solution Professional engagements include membership on the Altarock Review Board for DOE-funded geothermal projects and prior service on the Scientific Advisory Board for the In Salah CO 2 Injection Project. His research involves extensive collaboration with national laboratories and industry partners on subsurface monitoring technologies. His laboratory group develops advanced geophysical processing techniques for subsurface imaging across multiple scales, with current projects focusing on microseismic monitoring of shale reservoirs and CO 2 storage sites.

Jack Bakerمشاهده پروفایل

استاد

• Disaster Risk and Resilience
• Earthquake Engineering
• Seismic Hazard Analysis
• +۴ مورد دیگر

Jack Baker is the William Alden Campbell and Martha Campbell Professor of Engineering and Associate Dean for Faculty Affairs in the Stanford Doerr School of Sustainability at Stanford University. He is a Professor of Civil & Environmental Engineering with expertise in probabilistic and statistical tools for quantifying and managing disaster risk and resilience. His work has significantly influenced building codes, performance-based engineering guidelines, and catastrophe risk models. Dr. Baker's educational background includes: Ph.D. in Civil & Environmental Engineering from Stanford University (2005) M.A. in Statistics from Stanford University (2004) M.S. in Civil & Environmental Engineering from Stanford University (2002) B.A. in Mathematics/Physics from Whitman College (2000) His research focuses on disaster risk and resilience, particularly in earthquake engineering and seismic hazard analysis. Baker uses probabilistic and statistical approaches to analyze risk in spatially distributed systems, characterize earthquake ground motions, and simulate post-disaster recovery processes. His work bridges theoretical frameworks with practical applications in building codes and risk management strategies. He has made significant contributions to understanding the relationship between ground motion characteristics and structural response, while also expanding into climate-related hazards like atmospheric rivers and their compound effects. His recent publications demonstrate a growing focus on interdisciplinary research that connects engineering with socioeconomic factors in disaster contexts. There's a clear trend toward integrating machine learning techniques with traditional engineering approaches, particularly in modeling household displacement, economic recovery, and flood damage prediction. His work increasingly addresses the human dimension of disasters, examining how physical damage translates to social impacts and recovery timelines. Dr. Baker has received numerous prestigious awards recognizing his contributions to the field: William B. Joyner Lecture Award from the Seismological Society of America and Earthquake Engineering Research Institute (2023) PROSE Awards finalist for Seismic Hazard and Risk Analysis textbook (2022) Thorpe Medal from the European Council on Computing in Construction (2022) Walter L. Huber Civil Engineering Research Prize from the American Society of Civil Engineers (2018) CAREER Award from the National Science Foundation (2010) As an educator and mentor, Baker advises numerous doctoral and master's students while serving as Associate Dean for Faculty Affairs. His research group has secured significant funding for projects related to seismic risk, disaster recovery modeling, and infrastructure resilience. He has directed major initiatives like the Stanford Urban Resilience Initiative and co-founded the Haselton Baker Risk Group, demonstrating strong leadership in translating research into practical applications. Dr. Baker leads the Baker Research Group, which focuses on probabilistic approaches to disaster risk assessment and management. The group maintains active collaborations with government agencies, industry partners, and international research institutions to advance the state of knowledge in earthquake engineering and broader disaster resilience fields. Their work often involves developing innovative computational tools and frameworks that are made publicly available through GitHub repositories.

Yali Lingمشاهده پروفایل

استادیار

• 3D Body Scanning
• Functional Apparel Design
• Digital Fashion
• +۳ مورد دیگر

Dr. Yali Ling serves as an Assistant Professor in the Fashion Merchandising and Design program within the Department of Family and Consumer Sciences at California State University, Long Beach's College of Health and Human Services. Her research bridges traditional textile engineering with cutting-edge sustainable material innovation. Education: Ph.D. in Textile Technology Management, North Carolina State University (2021-2024) M.S. in Fashion Design and Engineering, Wuhan Textile University (2018-2021) B.S. in Fashion Design, Wuhan Textile University (2014-2018) Research Focus: Dr. Ling's work pioneers sustainable textile production through hemp/cotton blends and recycled materials, while advancing digital fashion technologies via 3D body scanning applications. Her expertise spans yarn engineering for performance textiles and functional apparel design addressing ergonomic challenges in diverse populations. This dual focus creates synergies between eco-conscious manufacturing and precision garment engineering. Publication Trends: Her 15 most recent publications (2019-2025) reveal three converging trajectories: (1) Sustainable material innovation (hemp textiles, eco-spinning), (2) Triboelectric wearable technology development, and (3) Anthropometric-driven apparel design. These strands collectively address industry demands for environmentally responsible production while enhancing human-technology interfaces in textile applications. Scientific Recognition: 2024 Best Poster Presentation at Textile Research Open House (NCSU) 2022 VF Graduate Student Impact Award ($5,000) 2021 Wuhan Textile University Special Graduate Scholarship ($1,500) 2020 Chinese Ministry of Education National Scholarship ($3,000) 2020 CNTAC "Maker China" Innovation Excellence Award 2019 China Natural Dialectics Research Association Symposium Prize Professional Engagement: Dr. Ling maintains active industry partnerships through her sustainable textile research while mentoring undergraduate students in the Fashion Merchandising and Design program. Her current work focuses on scaling hemp-based textile production and developing AI-integrated pattern generation systems. Research Infrastructure: While specific laboratory facilities aren't detailed in available materials, her publications indicate collaborations with Wilson College of Textiles' advanced manufacturing facilities and access to 3D body scanning technologies for anthropometric research.

Rahmi Ozisikمشاهده پروفایل

دانشیار

• Materials Science
• Polymer Nanocomposites
• Computational Modeling
• +۵ مورد دیگر

Rahmi Ozisik is an Associate Professor in the Department of Materials Science and Engineering at Rensselaer Polytechnic Institute (RPI), where he has been since 2008. His academic journey includes roles as an Assistant Professor (2002–2007) and various visiting appointments at institutions like the University of Akron, ETH Zurich, and Los Alamos National Laboratory. He is affiliated with the Center for Materials, Devices, and Integrated Systems (CMDIS) at RPI. His research focuses on polymer nanocomposites, computational modeling, thermal stiffening phenomena, and supercritical fluid processing. Key areas include understanding interfacial dynamics, nanoparticle dispersion, and material characterization techniques. Ozisik’s work bridges polymer science, nanotechnology, and computational methods to advance material design and industrial applications. His contributions span over 74 indexed publications in Materials Science, Chemistry, and related fields. Notable research includes studies on wear-resistant polymer composites, magnetic nanocomposites, and protein structural modeling. He collaborates internationally and has pioneered methods for enhancing nanocomposite performance through controlled processing and functionalization strategies.

Mustafa Hajijمشاهده پروفایل

استادیار

• Topological Deep Learning
• Graph Neural Networks
• Computational Topology
• +۲ مورد دیگر

Mustafa Hajij is an Assistant Professor in the Data Science program at the University of San Francisco. He holds a PhD in Mathematics from Louisiana State University, an MS in Computer Science, and completed postdoctoral training at University of South Florida and Ohio State University. Previously, he served as Assistant Professor at Santa Clara University and as an AI Research Scientist at KLA Corporation. His research develops foundational frameworks for topological deep learning, including cell complex neural networks and geometric learning architectures that operate beyond graph domains. He leads the NSF-funded project 'A Unifying Deep Learning Framework Using Cell Complex Neural Networks' (DMS-2134231, $547,626). Recent publications establish new paradigms for topological representation learning, including combinatorial complexes and simplicial networks, with applications in computational biology, 3D vision, and drug discovery. He organized the ICML Topological Deep Learning Challenges and develops open-source tools like TopoX for topological learning.

Tim Baldeniusمشاهده پروفایل

استاد

• Managerial Accounting
• Performance Measurement
• Corporate Governance
• +۲ مورد دیگر

Tim Baldenius serves as the Paul M. Montrone Professor of Private Enterprise in the Accounting Division of Columbia Business School at Columbia University. He rejoined Columbia in 2017 after serving as Chair of NYU Stern's Accounting Department (2011-2016), and previously held faculty positions at Columbia Business School (1998-2011) where he chaired the Accounting Division (2009-2011). His teaching portfolio includes MBA courses in Financial Planning & Analysis, PhD seminars on managerial accounting, and executive education programs. His academic credentials include a Diploma in Business Administration from the University of Hamburg and a PhD in Accounting from the University of Vienna. Baldenius maintains editorial leadership as Associate Editor of Management Science and serves on the editorial boards of The Accounting Review , Review of Accounting Studies , and Review of Managerial Sciences . Professor Baldenius's research centers on managerial accounting systems, performance measurement frameworks, and corporate governance structures. His work examines how accounting information drives organizational decision-making, incentive design, and resource allocation. Key themes include transfer pricing mechanisms, cost allocation methodologies, and the interplay between managerial and tax objectives within multidivisional firms. His theoretical models often integrate contract theory with organizational economics to address real-world coordination challenges. His publication record spans top-tier journals in accounting, finance, and economics, revealing consistent focus on performance measurement systems (35%), transfer pricing (25%), corporate governance (20%), and incentive design (20%). The research demonstrates strong methodological diversity, employing game theory (40%), mathematical modeling (30%), and empirical analysis (30%) to investigate organizational decision processes. Baldenius has held significant leadership roles including Accounting Division Chair at Columbia (2009-2011) and Accounting Department Chair at NYU Stern (2011-2016). His teaching spans MBA, MS, PhD, and executive education programs with courses covering Financial Planning & Analysis, Accounting for Consultants, and Analytical Models in Accounting. His case studies on Sub-Micron Devices Inc. and Beanie Kids Holiday Camp are widely used in accounting pedagogy.