جستجوی استاد راهنمای دانشگاهی

Fangbao Tianمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Biomechanics
• +۵ مورد دیگر

Associate Professor Fangbao Tian is a distinguished researcher and academic at UNSW Canberra's School of Engineering and Technology, where he also serves as Deputy Head of School for Research since July 2023. Previously, he held positions as Senior Lecturer (2017-2021) and Lecturer (2014-2017) at the same institution after completing postdoctoral research at Vanderbilt University. His academic journey began with a BSc (2006) and PhD (2011) in Theoretical and Applied Mechanics and Engineering Mechanics from the University of Science and Technology of China. Dr. Tian's research focuses on Computational Fluid Dynamics (CFD) tools for complex flows and fluid-structure interaction, with particular emphasis on bio-inspired applications. His work spans modeling laryngeal aerodynamics and vocal-fold vibration, fluid-structure interaction of plates in viscous fluid, fish swimming and insect flight, blood flow dynamics, and non-Newtonian flow phenomena. Recent work has expanded into Martian atmosphere aerodynamics, showing his research's growing interdisciplinary nature. His extensive publication record demonstrates consistent contributions across fluid dynamics, with recent trends showing increasing focus on compressible flows, bio-inspired flight systems, heat transfer applications, and computational methods like Lattice Boltzmann approaches. The research shows strong connections between fundamental fluid mechanics and practical applications in aerospace, biomedical engineering, and environmental systems. UNSW Canberra Goldstar Award 2022 IEEE Outstanding SMCS Chapter Award 2021 Outstanding Volunteer Award 2021 UNSW Canberra Silverstar Award 2018 UNSW Canberra Silverstar Award 2017 Journal of Fluids and Structures Highly Cited Research 2017 ARC DECRA 2016 Dr. Tian actively supervises PhD students across diverse topics including bushfire-enhanced wind loads, bio-inspired flight on Mars, flow control optimization, and fluid-structure interactions in compressible flows. He has secured over $5 million in external funding as Chief Investigator, including significant Australian Research Council projects examining Martian atmosphere aerodynamics, bio-inspired flapping wings, and cardiovascular flow modeling. His editorial roles include Associate Editor for Journal of Fluids and Structures and Scientific Reports, reflecting his standing in the fluid dynamics research community.

• Environmental Fluid Mechanics
• Open-Channel Flow
• Turbulence Structure
• +۷ مورد دیگر

Dr Stuart Cameron is a Senior Research Fellow in the School of Engineering at the University of Aberdeen, where he has been contributing to research since 2007. His work is centered on environmental fluid mechanics, with a focus on open-channel flows, turbulence, sediment transport, and bio-inspired hydrodynamics. He is affiliated with a series of high-impact interdisciplinary research projects involving advanced experimental and theoretical fluid dynamics. His research interests include: Open-channel flow turbulence structure Sediment entrainment and transport mechanisms Flow-biota interactions in aquatic ecosystems Development and error analysis of Particle Image Velocimetry (PIV) techniques Hydrodynamics of bioinspired surfaces and fish-shaped bodies The most recent publications highlight a strong trend in analyzing complex turbulent flows over rough beds, secondary currents, and bio-inspired surface morphologies. His work frequently involves high-resolution experimental techniques and theoretical modeling, often in collaboration with leading researchers such as V. Nikora. Articles span topics from drag forces on sediment particles to hydrokinetic turbine performance and field-based PIV studies in natural water bodies. Notable scientific contributions have been supported by major grants from EPSRC, NERC, and the European Commission. These include projects such as: "Secondary currents in turbulent flows over rough walls" (EPSRC, 2021–2024) "River flow regulation, fish behaviour and status – RIBES" (European Commission, 2020–2023) "Field stereoscopic PIV system for freshwater and marine ecosystems" (NERC, 2019–2020) "Bed friction in rough-bed free-surface flows" (EPSRC, 2014–2017) "HYTECH" (Marie Curie ITN, 2013–2016) "High-resolution numerical and experimental studies of turbulence-induced sediment erosion" (EPSRC & DFG, 2010–2014) Dr Cameron has not advised any named students in the available data, but he collaborates extensively within research teams focused on environmental hydraulics and experimental fluid mechanics. He is involved in the development of advanced measurement systems and theoretical frameworks for understanding complex flows in natural and engineered environments. He is actively engaged in laboratory and field-based research, contributing to both fundamental fluid mechanics and applied environmental engineering challenges. His work bridges engineering, ecology, and physics, particularly in the context of river systems and aquatic habitats.

Anthony Clarkمشاهده پروفایل

استادیار

• Autonomous Robotics
• Evolutionary Robotics
• Computer Vision
• +۷ مورد دیگر

Anthony Clark is an Assistant Professor of Computer Science at Pomona College, where he has been teaching since 2020. Previously, he served as an Assistant Professor at Missouri State University from 2016 to 2020. He directs the ARCS (Autonomous Robotics and Complex Systems) Lab, which focuses on improving the robustness and adaptability of autonomous robots, particularly small-scale systems that can navigate unpredictable terrain and adapt to potential damage. Clark earned his Ph.D. in Computer Science from Michigan State University in 2016, where he worked under Dr. Philip K. McKinley, and his B.S. in Computer Engineering from Kansas State University, graduating magna cum laude. His research centers on making autonomous robots more robust and adaptive through optimization algorithms and multimodal systems. He specializes in evolutionary robotics, computer vision, neural networks, and simulation methods for developing control systems that leverage multiple locomotion mechanisms. His recent work demonstrates strong trends across several domains: developing hybrid locomotion systems (wheel/leg transformations), applying deep learning to terrain classification and pathfinding, using simulation environments for training, and exploring pretraining techniques for evolutionary robotics. His research shows a consistent focus on bridging simulation and real-world applications while addressing challenges in robot adaptability and robustness. Faculty Excellence in Teaching, Missouri State University (2018) Best Paper Award, Workshop on Evolutionary and Reinforcement Learning (2013) Best Paper Award, ALIFE Conference, Behavior and Intelligence Track (2012) Outstanding Reviewer, Elsevier (2018) Master Advisor Certification, Missouri State University (2017) Clark has advised numerous undergraduate and graduate students through the ARCS Lab, with current research involving projects like the Adabot (a robot with multiple locomotion mechanisms) and thermal semantic segmentation for aerial field robots. His teaching portfolio includes courses on data structures, algorithms, neural networks, computer systems, and mobile robotics. He has also served as a Visiting Associate at Caltech's ARC Lab from 2023-2024, working with Dr. Soon-Jo Chung. The ARCS Lab develops simulation environments, optimizes control systems, and fabricates physical robots. Current projects include the Adabot with its geared coaxial shaft mechanism for hybrid locomotion, thermal semantic segmentation using satellite data, and creating dynamic simulation environments with Unreal Engine 5. The lab emphasizes practical applications of theoretical research while training students in both hardware and software aspects of robotics.

Camilla Cattaniaمشاهده پروفایل

استادیار

• Seismology
• Earthquake Physics
• Fault Mechanics
• +۵ مورد دیگر

Camilla Cattania is an Assistant Professor of Geophysics in the Department of Earth, Atmospheric and Planetary Sciences (EAPS) at the Massachusetts Institute of Technology, where she holds the Cecil and Ida Green Career Development Professorship. She leads research in seismology, earthquake physics, and operational earthquake forecasting, with a focus on understanding earthquake interactions at regional and global scales using numerical, analytical, and statistical tools. Dr. Cattania received her bachelor's and master's degrees in experimental and theoretical physics from the University of Cambridge, followed by a PhD in geophysics from the GFZ German Research Center for Geosciences/University of Potsdam. Her professional journey included positions as a guest scientist at GFZ, guest investigator at Woods Hole Oceanographic Institution, and postdoctoral fellow at Stanford University before joining MIT's faculty. Her research interests center on earthquake physics and forecasting, with specific focus areas including seismicity on rough faults, fault mechanics and earthquake cycles, the physics of small earthquakes, static stress triggering in operational earthquake forecasting, seismic swarms and aseismic slip driven by dikes, and dynamic triggering on transform faults. She develops physics-based models that incorporate Coulomb stress changes with rate-and-state friction laws to improve earthquake forecasting capabilities. Dr. Cattania's publication record demonstrates an impressive progression in developing and refining physics-based earthquake forecasting models, with her most recent work exploring the integration of AI and machine learning techniques to enhance forecasting accuracy. Her research spans both theoretical development and practical applications for operational earthquake forecasting systems. Scientific Recognition: Recipient of the prestigious NSF CAREER Award in 2024 for her project 'Towards a comprehensive model of seismicity throughout the seismic cycle' Co-author of influential papers that have advanced the field of physics-based earthquake forecasting Dr. Cattania is actively involved in educational outreach through partnerships with 826 Boston, working with Boston area high schools to lead interactive labs and demonstrations about earthquake research. She emphasizes the importance of connecting students with scientists to humanize the research process and inspire future generations of geophysicists.

Sai Sandeep Chittaمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Granular Mechanics
• Environmental Engineering
• +۶ مورد دیگر

Dr. Sai Sandeep Chitta is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU), with an affiliated position in Geological and Mining Engineering and Sciences. Prior to MTU, he held postdoctoral roles at Oregon State University (OSU) and the University of Arkansas, where he contributed to industry-sponsored projects on coastal dune protection and DEM model calibration funded by the U.S. Army Corps of Engineers. He earned his PhD in Civil Engineering from City University of Hong Kong (2019) and MTech/BTech degrees from Indian institutions. His research focuses on granular mechanics across scales, bio-mediation techniques for soil improvement, and biomimetic geotechnics. Key projects include developing biocementation methods for coastal resilience and computational models for granular material behavior. He has secured over $240,000 in industry funding and co-authored multiple influential studies in geotechnical journals. Education: PhD, Civil Engineering, City University of Hong Kong (2019) MTech, Geotechnical Engineering, Indian Institute of Technology Guwahati (2016) B.Tech, Civil Engineering, Jawaharlal Nehru Technological University (2013) His work integrates experimental and computational methods, addressing challenges in sustainable infrastructure, geo-hazard mitigation, and biomimetic engineering. Notable awards include the Ringo Yu Prize for Best PhD Thesis (2020) and Editor’s Choice Selection in the Canadian Geotechnical Journal (2020). Dr. Chitta actively collaborates with industry and serves as a technical reviewer for journals like Géotechnique and ASTM. He also contributed to educational initiatives at OSU, shaping general education curricula.

Grzegorz Rozenbergمشاهده پروفایل

استاد

• Natural Computing
• Molecular Computing
• Computation in Living Cells
• +۱۰ مورد دیگر

Grzegorz Rozenberg is a distinguished Professor in the Department of Computer Science at Leiden University, Netherlands, where he has been a faculty member since 1979. He also holds an adjunct professor position at the Department of Computer Science of University of Colorado at Boulder, USA. Rozenberg has made significant contributions to theoretical computer science, particularly in natural computing, molecular computing, and formal language theory. His educational background includes a Master and Engineer degree in computer science from the Technical University of Warsaw, Poland (1965), and a Ph.D. in mathematics from the Polish Academy of Sciences, Warsaw (1968). Prior to his position at Leiden, he held academic positions at the Polish Academy of Sciences, Utrecht University, State University of New York at Buffalo, and University of Antwerp. Rozenberg's research interests span multiple domains of theoretical computer science, with a particular focus on natural computing. His primary research areas include natural computing (molecular computing, computation in living cells, self-assembly, and theory of biochemical reactions), theory of concurrent systems (Petri nets, transition systems, and traces), graph transformations, formal language and automata theory, and mathematical structures in computer science. His work bridges computer science with biology, chemistry, and physics, creating interdisciplinary connections that have advanced our understanding of computation in natural systems. Throughout his career, Rozenberg has received numerous prestigious awards and honors. He is a Foreign Member of the Finnish Academy of Sciences and Letters and a member of Academia Europaea. He has been awarded honorary doctorates from seven institutions across Europe. His Distinguished Achievements Award from the European Association for Theoretical Computer Science recognizes his outstanding scientific contributions to the field, and he has been recognized as a Highly Cited Researcher by ISI. Beyond his academic work, Rozenberg has served in numerous editorial and leadership roles. He has been the founding editor-in-chief of several major journals in theoretical computer science and natural computing. He served as President of the European Association for Theoretical Computer Science from 1985 to 1994 and has chaired steering committees for multiple international conferences. His extensive service to the academic community reflects his leadership and influence in theoretical computer science.

• Manufacturing Engineering
• Electrical Discharge Machining
• Surface Roughness Optimization
• +۷ مورد دیگر

Anđelko Aleksić is an Assistant Professor at the Chair of Machining, Faculty of Technical Sciences, University of Novi Sad. His work focuses on advanced machining processes and Industry 4.0 integration. Current Position: Assistant Professor (2025–Present) Previous Positions: Assistant Professor (2019–2025), Teaching Associate (2018–2019) Research interests span Electrical Discharge Machining (EDM) , surface roughness optimization, tool wear analysis, and Industry 4.0 applications. His work incorporates fuzzy logic , genetic algorithms , and other optimization techniques for machining processes. Recent publications analyze powder-mixed EDM for titanium alloys and ceramics, plasma arc cutting quality , and Industry 4.0 advancements . Themes include defect layer reduction, energy-efficient machining, and adaptive control systems. He contributes to the Chair of Machining department through research and teaching activities, emphasizing modern manufacturing technologies.

Kamaljit Singhمشاهده پروفایل

دانشیار

• Multiphase flow
• Digital rock physics
• Porous media
• +۹ مورد دیگر

Kamaljit Singh is an Associate Professor at the Institute for GeoEnergy Engineering (IGE) within the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University in Edinburgh, UK. He has held this position since 2021, after serving as an Assistant Professor at the same institution from 2019 to 2021. Prior to joining Heriot-Watt, he held research positions at Imperial College London, the European Synchrotron Radiation Facility in France, and the Max-Planck Institute in Germany. His research employs advanced imaging techniques to study fluid dynamics in porous media with applications to energy storage and environmental challenges. Dr. Singh's educational background includes: PhD in Civil Engineering from the University of New South Wales at Australian Defence Force Academy, Australia (2004-2009) M.E. in Environmental Engineering from Punjab Engineering College/Panjab University, India (2000-2002) B.E. in Civil Engineering from GNE/Punjab Technical University, India (1996-2000) His primary research focuses on 3D imaging of fluid flow in permeable media using both in-house and synchrotron X-ray micro-CT. His current projects investigate H 2 and CO 2 storage in subsurface rocks, pore-to-core scale fluid displacement dynamics, wettability effects on multiphase flow, multi-scale rock characterization, and thermoregulation in termite nests for bio-inspired building design. Dr. Singh's work directly contributes to UN Sustainable Development Goals related to clean energy and climate action, with his research group ( https://digiporflow.site.hw.ac.uk ) advancing digital imaging techniques for porous flow systems. Analysis of Dr. Singh's recent publications (2024-2025) reveals a strong emphasis on hydrogen storage mechanics in geological formations, particularly examining permeability evolution and deformation in sandstones under cyclic loading. His work also maintains significant focus on CO 2 sequestration in carbonate reservoirs and has produced notable interdisciplinary research on termite nest ventilation as a model for sustainable building design. His methodological approach consistently integrates advanced imaging techniques with computational modeling to address energy transition challenges. Dr. Singh serves as Global Course Leader for Reservoir Engineering (MSc) and teaches Introduction to Petroleum Engineering (undergraduate). His research has received considerable media attention, including coverage in The New York Times, The Straits Times, and Süddeutsche Zeitung for his work on bio-inspired ventilation systems. With 41 research publications, 4 datasets, and 7 invited talks, he maintains an active research program focused on solving critical challenges in subsurface energy storage and sustainable engineering.

• Human geosciences
• Foundations of Life
• Bio-philosophy
• +۴ مورد دیگر

Yukio Gunji is a Professor at Waseda University's School of Fundamental Science and Engineering since 2014, with prior 27-year tenure at Kobe University. Holding a Ph.D. in Science from Tohoku University, he bridges Cognitive Science Quantum Logic Bio-inspired Computing Swarm Dynamics through interdisciplinary research. His work reveals quantum-like cognitive structures via Orthomodular lattices from rough set analysis Inverse Bayesian inference systems Asynchronous cellular automata models explaining phenomena like free will paradoxes , virtual agent persuasion , and Physarum plasmodium decision-making . Analysis of 15 recent articles shows strong focus on Lévy walk patterns in ants and fish schools, self-avoiding walk algorithms , and nonlocal cognitive models . Key contributions include Developing Extended Bayesian Inference frameworks Formalizing trilemma structures in consciousness studies Creating heterarchical market models with critical behavior while his Virtual Hand experiments challenge ownership perception boundaries through squeeze machine studies.

Xianming Daiمشاهده پروفایل

دانشیار

• Heat transfer
• Thermal management
• Water sustainability
• +۷ مورد دیگر

Xianming Dai is an Associate Professor in the Department of Mechanical Engineering at the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas. He also holds an affiliated faculty position in Bioengineering. He leads the Dai Lab, which conducts interdisciplinary research in thermal science and sustainable technologies. Post-Doc: Mechanical Engineering, The Pennsylvania State University, 2016 PhD: Mechanical Engineering, University of South Carolina, 2013 M.S.: Thermal Engineering, Huazhong University of Science and Technology, 2009 B.S.: Thermal Energy and Power Engineering, Chongqing University, 2007 Dr. Dai’s research focuses on heat transfer, surface science, microfluidics, and water sustainability . His lab develops innovative surfaces for water harvesting, condensation enhancement, and thermal management , with applications in energy systems and electronics cooling. He combines nanofabrication, biomimetics, and fluid dynamics to engineer next-generation thermal interfaces. His recent publications (2015–2025) reveal a strong trend in bioinspired surfaces and droplet manipulation , particularly for atmospheric water harvesting and high-efficiency condensation. Key themes include quasi-liquid surfaces, SLIPS, and coalescence phenomena, published in journals like Science Advances , PNAS , Joule , and Advanced Functional Materials . Dr. Dai has received several prestigious awards, including: DARPA Young Faculty Award (2023) National Science Foundation CAREER Award (2021) Army Research Office Young Investigator Award (2019) UT Dallas Jonsson School Assistant Professor Research Award (2022) Outstanding Early Career Award (2021) JALA Top Ten Breakthrough Award (2016) Fellow, Eugene McDermott Distinguished Professor (2025) He actively advises PhD students and leads significant research initiatives, including a $3M Department of Energy award for energy sustainability and a $500K DARPA Director’s Fellowship. He was appointed Associate Editor of the journal Droplet in 2025. His lab, the Dai Lab, fosters interdisciplinary collaboration and recruits students from diverse backgrounds. The Dai Lab is at the forefront of thermal science innovation, focusing on passive water harvesting, anti-icing, and high-performance heat transfer . It has secured major funding and produced breakthroughs recognized by Nature Materials and other leading outlets.

• Structural Engineering
• Optimization
• Mechanics of Solid Bodies
• +۵ مورد دیگر

Prof. İbrahim Aydoğdu is an Associate Professor at Akdeniz University, Faculty of Engineering, Department of Civil Engineering , with a concurrent Associate Professor role at Georgia Institute of Technology, Engineering Faculty, Mechanical Engineering . His career spans structural engineering, metaheuristic optimization, and thermohydraulic systems. PhD in Engineering Sciences from Middle East Technical University Postdoctoral research at Georgia Institute of Technology His research focuses on structural optimization , steel and composite structures , and metaheuristic algorithms . He has supervised 13 theses, including projects on seismic isolation, nanoscale beam optimization, and public transport efficiency. His work emphasizes computational methods for structural design, with funded research from TUBITAK and higher education institutions. Key trends in his 96 publications include applications of artificial bee colony algorithms , social spider optimization , and GPU-based parallel programming in civil and mechanical engineering contexts. He has contributed to books on harmony search methods and nature-inspired algorithms in structural design.

Numan CELEBİمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Prof. Dr. Numan CELEBİ serves as a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Information Systems Engineering, where he has held academic positions since 2007. His career progression includes promotion to Associate Professor in 2013 and subsequent advancement to full Professor. His educational foundation comprises a Doctorate in Industrial Engineering from Sakarya University (1998-2004) with thesis Inductive-rough clustering approach to part family generation , a Master's in Electrical and Electronics Engineering (1995-1997) with thesis Development of computer program for the implementation of Adapazari medium voltage distribution network (SCADA) system , and a Licence from Istanbul Technical University's Electrical-Electronic Engineering program (1985-1989). CELEBİ's research spans Artificial Intelligence , Machine Learning , and Computer Vision , with significant contributions to optimization algorithms (Polar Bear Algorithm, Tug of War Optimization), intelligent transportation systems (traffic congestion detection, vehicle rerouting), and computer vision applications (object tracking, saliency detection, UAV-based plant recognition). His methodology frequently integrates Rough Set Theory and fuzzy systems for data analysis and decision support. Analysis of his 15 most recent publications (2007-2023) reveals a clear research trajectory toward applying metaheuristic optimization and deep learning to real-world problems. His work demonstrates increasing focus on transportation systems (40% of recent publications), agricultural technology via UAVs (15%), and novel optimization frameworks (25%), with consistent methodological emphasis on hybrid algorithm design and real-time implementation. As an educator, CELEBİ supervises graduate research through courses like ENF 524 Project and teaches specialized subjects including Meta Heuristic Optimization Methods , Intelligent Techniques in Data Analysis , and Data Science across undergraduate and graduate programs. His teaching portfolio spans discrete mathematics, computer networks, and cloud computing, reflecting interdisciplinary expertise.

Fabio Caraffiniمشاهده پروفایل

دانشیار

• Evolutionary Computing
• Heuristic & Hyperheuristic Optimization
• Algorithm Behaviour
• +۵ مورد دیگر

Dr. Fabio Caraffini is an Associate Professor in Computer Science at Swansea University's School of Mathematics and Computer Science. He holds dual PhDs in Mathematical Information Technology (University of Jyväskylä, 2016) and Computer Science (De Montfort University, 2014), along with BSc and MSc degrees in Engineering from the University of Perugia. His research focuses on computational intelligence, particularly heuristic optimization methods like evolutionary algorithms and differential evolution. He also holds an honorary position as Senior Research Fellow at De Montfort University (2022–2024). Education History: BSc in Electronics Engineering (University of Perugia, 2008) MSc in Telecommunications Engineering (University of Perugia, 2011) PhD in Mathematical Information Technology (University of Jyväskylä, 2016) PhD in Computer Science (De Montfort University, 2014) Research Interests: Dr. Caraffini's work bridges theoretical optimization and practical applications. Key areas include evolutionary computing, structural bias analysis in algorithms, and interdisciplinary AI applications such as medical imaging, climate risk modeling, and robotics. His SOS Platform and BIAS toolbox are notable contributions to algorithm benchmarking and bias detection. Recent projects include AI-driven solutions for crop mapping, medical record analysis, and rail scheduling optimization. Publications & Trends: His 150+ publications span journals like Information Sciences , IEEE Transactions , and Applied Soft Computing . Themes include algorithmic robustness, constraint handling, and real-world optimization challenges. Notable works address differential evolution improvements, climate transition risk prediction, and medical decision support systems. Awards & Grants: Fellow of the Higher Education Academy (FHEA) Recipient of multiple research grants for projects in optimization and AI applications Advising & Collaboration: Actively supervises PhD students in AI-driven optimization and interdisciplinary applications. Collaborates with institutions globally on topics like microgrid energy management and pandemic prediction through self-organizing maps. Labs & Teams: Engaged in Swansea's Computational Foundry and the Morgan Advanced Studies Institute (MASI), contributing to cross-disciplinary research initiatives in AI and computational science.

• Nanomechanics
• Molecular Dynamics Simulations
• Multiscale Modeling
• +۷ مورد دیگر

Senbo Xiao is an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), specializing in nanomechanics and computational materials science. His research focuses on nanoscale phenomena at interfaces with applications in energy, oil recovery, and anti-icing technologies. Dr. Xiao's educational background includes biophysics studies at Nankai University (2000-2007), a PhD in molecular biophysics from Heidelberg University (2007-2011), followed by postdoctoral work at the Heidelberg Institute for Theoretical Studies (2011-2013) and Max Planck Institute for Polymer Research (2013-2015). His primary research interests center on nanoscale mechanisms in materials science, utilizing molecular dynamics simulations and multiscale modeling to investigate: Icing and hydrate formation processes Icevoltaics (energy harvesting from freezing) Interface mechanics at atomic scales Soft materials mechanics Nano-enabled enhanced oil recovery Carbon capture and storage mechanisms His groundbreaking IceVoltaics project, funded by an ERC Consolidator Grant, aims to develop technology for harvesting electrical energy from water freezing processes, analogous to photovoltaics. Analysis of his recent publications reveals strong focus on molecular-scale interface phenomena , particularly ice-solid and hydrate-solid interactions, with significant applications in energy infrastructure protection. His work increasingly integrates machine learning with molecular dynamics, showing evolution toward multi-scale predictive modeling of complex phase transitions. Scientific recognition includes: ERC Consolidator Grant for IceVoltaics project Extensive publication record in high-impact journals including Chemical Engineering Journal, ACS Applied Materials & Interfaces, and Langmuir Dr. Xiao actively supervises master's and PhD students through the NTNU Nanomechanical Lab , which offers thesis topics on nanoscale icing, anti-hydrate technologies, and icing energy harvesting. His research group maintains strong international collaborations, particularly with Brno University of Technology, focusing on multi-scale modeling of materials. Current projects include developing icephobic coatings with self-healing capabilities and investigating hydrogen storage mechanisms in clathrate hydrates. The NTNU Nanomechanical Lab operates as a hub for computational and experimental nanomechanics research, with specialized facilities for molecular dynamics simulation and nanoscale characterization. The lab emphasizes translating fundamental interface science into practical applications for energy, petroleum, and environmental engineering sectors.

Jacob S. Blumnerمشاهده پروفایل

استاد

• Writing Centers
• Writing Across the Curriculum
• Composition and Rhetoric
• +۳ مورد دیگر

Jacob S. Blumner serves as Professor of English and Director of the Marian E. Wright Writing Center at the University of Michigan-Flint within the Department of Language and Communication, College of Arts, Sciences and Education. His academic career spans over 25 years with progressive appointments from Assistant Professor (1996) to current Professor (2017-present), reflecting deep institutional commitment. His educational foundation includes a Ph.D. in English from the University of Nevada (1996). Blumner's research centers on writing center theory and writing across the curriculum (WAC), examining institutional partnerships between writing centers and academic departments. His scholarship investigates faculty development, curriculum integration, and assessment methodologies in WAC programs. Complementing this, he maintains an active creative practice in haiku poetry, publishing in specialized journals like Failed Haiku and Frogpond , demonstrating the intersection of scholarly and artistic writing. Recent publications reveal evolving interests from foundational WAC theory toward community-engaged pedagogy, including gamified learning environments (D&D-themed writing camps) and place-based education initiatives. His work increasingly addresses K-12/college partnerships and technological implications for writing instruction. As principal investigator, Blumner has secured substantial grant funding including EPA-supported place-based education projects ($152,119), Charles Stewart Mott Foundation entrepreneurship programs (totaling $184,136), and recent community writing initiatives: the "Rough Draft Cafe" ($6,000 from Pro Literacy Worldwide), "No Rules" Writing Group ($5,000 from Nora Roberts Foundation), and Flint-based writing access programs ($11,661 from Community Foundation of Greater Flint). He directs the Marian E. Wright Writing Center while leading community writing collectives that extend university resources into Flint through the "No Rules Writing Group" and partnerships with Boys & Girls Clubs, focusing on natural resources professions and youth engagement.