جست‌وجوی استاد و پژوهشگر

Russell Mortonمشاهده پروفایل

استادیار

• Neurophysiology
• Mild Traumatic Brain Injuries (mTBIs)
• Neurosciences
• +۳ مورد دیگر

Russell Morton is a Tenure track Assistant Professor in the Department of Neurosciences at the University of New Mexico Health Sciences Center. He established expertise in neurophysiology and mild traumatic brain injuries (mTBIs) through postdoctoral research at the University of New Mexico and leadership roles in the Center for Brain Recovery and Repair (CBRR). B.A. in Psychology from University of Colorado at Boulder (2003) Ph.D. in Neuroscience from George Washington University (2011) Postdoctoral fellowship at University of New Mexico (2016) His research focuses on identifying spreading depolarizations (SDs) as critical mechanisms in concussion-like injuries, linking them to postinjury behavioral deficits, post-traumatic headaches, and impaired cognitive recovery. Using a closed skull injury model, his lab investigates SD propagation, cortical activity suppression, and blood flow dynamics in repeated mTBIs. This work aligns with CBRR's mission to bridge clinical and preclinical brain injury research. Russell Morton's publications highlight SDs' role in mild injuries and cognitive dysfunction. Key collaborations with Drs. Bill Shuttlworth (cellular SD mechanisms) and KC Brennan (headache/migraine research) enhance his studies. His work has been recognized through keynote invitations, grant leadership (DoD collaborative grant), and active participation in international spreading depolarization conferences. UNM Graduate Student Retreat Keynote Speaker (2014, 2017) General Public Poster Finalist, UNM Neuroscience Day (2014) First Place Oral Presentation, GWU Research Day (2008) As Preclinical Core Manager for CBRR, he developed the closed skull injury model and serves as a project lead. His lab collaborates with the New Mexico Spreading Depolarization Consortium (NMSDC) and international experts, maintaining weekly lab meetings with Drs. Shuttlworth and Brennan. He also co-teaches graduate courses in Neurosciences Journal Club, Neurophysiology, Methods in Cell Biology, and Undergraduate Pipeline Network.

• Structural Geology
• Fault Mechanics
• Earthquake Cycle Dynamics
• +۴ مورد دیگر

Laurel B. Goodwin is a Professor at the University of Wisconsin-Madison in the Department of Geological Engineering within the College of Engineering . Her research bridges structural geology and hydrology , focusing on fault mechanics, earthquake cycles, and pore-fluid pressure dynamics. Primary Affiliation: Geological Engineering, UW-Madison Contact: laurel@geology.wisc.edu Research Interests: Dr. Goodwin investigates fault zone evolution, diagenetic controls on rock mechanics, and geoscience education. Her work includes digital rock physics , U-Th geochronology for paleoseismicity, and spatial reasoning curricula for geology students. Publication Trends: Her recent articles (2015–2024) emphasize computational modeling of fault mechanics, isotopic analysis of earthquake cycles, and educational interventions. Key subfields include fault-valve behavior , pseudotachylyte formation , and micromechanical effects of cementation . Advising & Grants: She has supported student participation in conferences like the Electron Backscatter Diffraction Topical Conference (2008, 2010) through grants, reflecting her commitment to training the next generation of geoscientists. Labs & Teams: Dr. Goodwin collaborates on projects like URGE (Undergraduate Research in Geoscience Education) , integrating cognitive science into geology education. Her work often involves multidisciplinary teams studying fault zones in Arizona, New Mexico, and Wisconsin.

• Data Mining
• Machine Learning
• Temporal Networks
• +۳ مورد دیگر

Nikolaj Tatti is a Visiting Professor at Aalto University's Department of Computer Science , affiliated with the Helsinki Institute for Information Technology (HIIT) and the Adj. Prof. Gionis Aris research group . His work focuses on algorithmic analysis of temporal networks and graph theory. Research Interests: Temporal network analysis Graph decomposition and density Segmentation algorithms Pattern discovery in time-series data Interactive data analysis frameworks Publication Trends (2018-2021): Research spans Temporal Networks (dynamic hierarchies, cascade reconstruction), Graph Theory (density, decomposition), and Data Mining (periodic patterns, event detection). Collaborative work with Aris Gionis and Polina Rozenshtein dominates his publications. Technical Collaborations : Works with multidisciplinary teams including researchers from ACM Transactions on Knowledge Discovery and IEEE conferences.

• Computer Vision
• Image Processing
• Machine Learning
• +۵ مورد دیگر

Prof. Ing. Adam Herout, Ph.D., is a faculty member at the Faculty of Information Technology (FIT) of Brno University of Technology (BUT). He serves as Deputy Head of the Department of Computer Graphics and Multimedia (DCGM), focusing on computer vision, image processing, and 3D reconstruction. His research spans traffic surveillance, augmented reality, and real-time processing, with applications in medical imaging and autonomous systems. Academic Rank: Professor Department: Computer Graphics and Multimedia Email: herout@fit.vut.cz Herout's research interests lie in computer vision, machine learning, and their interdisciplinary applications. He has pioneered techniques for camera calibration using vehicle landmarks, density-based traffic analysis, and medical imaging solutions like cranial implant design. His work combines theoretical advancements with practical implementations in real-time systems. Key trends in his 15 most recent articles (2019–2023) include deep learning for traffic analysis, medical image segmentation, and optimization of computer vision algorithms. Sub-fields span from automated checkout systems to CNN-based AFM data correction, reflecting his interdisciplinary expertise. Scientific recognitions include the Commemorative Medal of FIT BUT (Bronze 2012, Silver 2019) and the Imagine Cup 2013. He leads the Computer Graphics Research Group at FIT and chairs disciplinary committees.

Laetitia Nanquetteمشاهده پروفایل

دانشیار

• Modern Persian literature
• Contemporary Persian literature
• Print Culture
• +۸ مورد دیگر

Associate Professor Laetitia Nanquette is a scholar specializing in modern and contemporary Middle Eastern literatures, particularly Persian literature, at the University of New South Wales (UNSW) in the School of Arts, Design & Architecture. She has been at UNSW since 2013 after completing academic training in France, the United Kingdom, Iran, and the United States (as a Fulbright Visiting Fellow at Harvard University). Her primary research interests include: Modern and contemporary Persian literature Print Culture and Publishing Book History World Literature Sociology of literature Digital Humanities Contemporary Iranian culture Literature and globalization Migrant cultural studies Nanquette's scholarly work focuses on the production and circulation of Iranian literature in Iran and globally, with special attention to the post-Islamic Revolution period. Her major 2021 book "Iranian Literature after the Islamic Revolution. Production and Circulation in Iran and the World" (Edinburgh UP) analyzes how Iranian literary works are produced, circulated, and received both within Iran and internationally. Her recent publications consistently examine censorship mechanisms, diaspora literary production, and the global circulation of Iranian texts, reflecting her expertise in book history and sociological approaches to literature. Among her notable achievements: Australia Research Council DECRA Fellow (2015-2019) Associated EUME Fellow of the Forum Transregionale Studien, Berlin (2023/2024) Associate Editor for Iranian Studies (Cambridge UP) Editor for the Modern Persian literature section of Abstracta Iranica Nanquette has successfully supervised multiple PhD students to completion, including award-winning theses on topics ranging from contemporary Iranian romance novels to Iranian horror cinema. She is also active in translation work, having published translations of Iranian short stories into French and Persian texts into English.

Sagie Benaimمشاهده پروفایل

استادیار

• computer vision
• machine learning
• computer graphics
• +۴ مورد دیگر

Sagie Benaim is an Assistant Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem. Previously, he was a postdoctoral researcher at DIKU (Department of Computer Science, University of Copenhagen) working with Professor Serge Belongie and was a member of the Pioneer Center for AI. He completed his PhD at Tel Aviv University in the Deep Learning Lab under the supervision of Professor Lior Wolf. Dr. Benaim's research spans computer vision, machine learning, and computer graphics, with a particular emphasis on generative models, neural signal representations, and inverse graphics. His work explores how disentangled representations can be leveraged to better understand and manipulate visual content. He has made significant contributions to 3D scene manipulation, image-to-video generation, and neural rendering techniques. His recent publications reveal a strong trajectory toward advancing generative AI capabilities, particularly in 3D understanding, multimodal generation, and video synthesis. His research consistently bridges theoretical foundations with practical applications, demonstrating innovation in neural representation manipulation for both creative and analytical purposes. Dr. Benaim is actively seeking excellent students and postdocs to join his research group, indicating his commitment to mentoring the next generation of researchers in computer vision and machine learning. His position at the Hebrew University of Jerusalem places him within a vibrant academic community focused on advancing the frontiers of computer science.

• Artificial Neural Networks
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Marija Blagojević is a Full Professor at the Department of Information Technologies within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over fifteen years of experience in teaching and research, she has established herself as a leading academic in Information Technologies and Systems. Her work spans multiple domains including artificial intelligence, machine learning, and educational technologies, contributing significantly to both theoretical advancements and practical applications in these fields. Dr. Blagojević began her academic career at the Technical Faculty in Čačak in October 2007, initially conducting exercises for courses in Informatics Methodology and IT Applications-Practicum. She was appointed as an Assistant in June 2008 and has since advanced to her current position as Full Professor. Throughout her career, she has continuously expanded her expertise through various specialized courses including Oracle Academy courses in database design and programming, machine learning from Stanford University, and certifications in Huawei AI technologies. Her research interests primarily focus on the application of artificial intelligence techniques to solve complex problems across diverse domains. She has made significant contributions to neural network applications, developing models for predicting apricot yields, air pollution levels, and student success in programming courses. Her work in e-learning technologies demonstrates innovative approaches for adaptive course delivery using data mining techniques. She has also pioneered research at the intersection of AI and psychology, exploring concepts like 'Artificial Psychology' and 'PsAIchology'. Analysis of Dr. Blagojević's recent publications reveals a clear trajectory toward interdisciplinary applications of artificial intelligence. Her work increasingly bridges computer science with psychology, healthcare, and environmental science. A notable trend is her focus on explainable AI, ensuring complex machine learning models remain interpretable for end-users. Her research also demonstrates strong commitment to applying technology for social good, particularly in education and rural development contexts, as evidenced by projects like WINnovators Space. Scientific Awards and Recognitions Award from 'dr Milivoje Urošević' foundation for best graduating student in 2006/2007 Four awards from Technical Faculty for excellent academic results each school year Scholarship from Fund for Young Talents Scholarship from University of Kragujevac (as one of 11 best students) Scholarship from Čačak municipality Scholarship from 'Denise Hale' Foundation Award for the best second-place innovative idea from the Union of Engineers and Technicians of Serbia (February 2020) Recognition for the best female scientist with most research results at University of Kragujevac (February 2022) Dr. Blagojević has been actively involved in research supervision and grant-funded projects throughout her career. She has served as a reviewer for three scientific journals and participated in significant research initiatives including 'Development of new information and communication technologies using advanced mathematical methods' (Project III 44006) and 'Application of biomedical engineering in preclinical and clinical practice' (Project 41007). Her international collaboration includes participation in TEMPUS project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES and Erasmus mobility at Alexandru Ioan Cuza University of Iaşi. As a member of the Computer Science Laboratory at the Faculty of Technical Sciences, Dr. Blagojević contributes to a collaborative research environment focused on advancing information technologies. Her interdisciplinary approach connects computer science with psychology, healthcare, and environmental science, demonstrating how technology can address complex real-world challenges while enhancing educational outcomes and community development.

Lukas Zenkمشاهده پروفایل

استاد

• Creativity & Innovation
• Social Network Analysis
• Applied Improvisation
• +۴ مورد دیگر

Lukas Zenk is a Professor of Innovation and Network Research at Danube University Krems, Austria. He serves as Deputy Research Leader and is affiliated with the Department of Knowledge and Communication Management. His work bridges creativity, network analysis, and organizational improvisation, focusing on complex environments and societal challenges. Current research themes: Creativity & Innovation, Social Network Analysis, Applied Improvisation Key projects: Meta-competences for unpredictable situations, Framework of organizational improvisation, TISE sustainability education Methodologies: Agent-based modeling, dynamic network visualization, LEGO Serious Play workshops Zenk's research explores how organizations adapt through improvisation, with publications analyzing network dynamics in post-merger integration, pandemic responses, and sustainability transitions. His work emphasizes transdisciplinary collaboration and complexity literacy in education and policy. Recent studies investigate: Meta-competencies in crisis scenarios Personality traits' impact on pandemic conspiratorial thinking Dynamic models for organizational and societal resilience

David Vera Candeasمشاهده پروفایل

استاد

• Electrical Engineering
• Renewable Energy Systems
• Biomass Gasification
• +۳ مورد دیگر

David Vera Candeas is a full-time Professor at the Departmento de Ingeniería Eléctrica of Universidad de Jaén . Holding a PhD since 2013, his research focuses on renewable energy systems, particularly biomass gasification and distributed generation technologies. His work addresses both technical implementation and sustainability aspects in energy systems, with a strong emphasis on industrial applications and waste valorization. His academic contributions include significant publications on: Biomass gasification and power generation systems Microgrid monitoring and control technologies Hybrid renewable energy integration Power electronics for energy efficiency Current research trends show increasing focus on: Decentralized energy systems and P2P control schemes AI-enhanced educational tools in electrical engineering Circular economy applications in the olive industry

• Urban Geography
• Urban Planning
• Urban Political Ecology
• +۵ مورد دیگر

Éric Verdeil is a Professor of Geography and Urban Studies at Sciences Po and a researcher at the Centre for International Research (CERI-Sciences Po/CNRS). Holding degrees in geography (1994), urban planning (1995), and a doctorate in geography (2002), his expertise spans urban political ecology, metabolism, and infrastructure governance across Mediterranean and Middle Eastern cities. Current roles: Scientific Director of the Territorial and Urban Strategies master's program Former affiliations: CNRS researcher at LATTS (University of Paris Est-Ecole des Ponts et Chaussées) and Environnement Ville Société (University of Lyon) His research focuses on: Urban metabolism (land/soil consumption, resource flows) Energy transitions (natural gas, solar energy, electrical hybridization) Waste governance systems Post-conflict urban reconstruction (Lebanon) Recent publications emphasize urban political ecology across Southern Mediterranean regions, with collaborative works on resource management and metabolic urbanism. He has supervised PhD students in urban studies at Sciences Po and taught in Lebanon, Tunisia, and Abu Dhabi.

Anirudha Majumdarمشاهده پروفایل

دانشیار

• Control
• Robotics
• Dynamical Systems
• +۷ مورد دیگر

Anirudha Majumdar is an Associate Professor in the Mechanical and Aerospace Engineering (MAE) department at Princeton University and Associated Faculty in Computer Science. He also holds a part-time visiting research scientist position at Google DeepMind in Princeton, focusing on robotics and AI integration. His research centers on enabling robots to generalize safely and reliably in human-centered environments, combining nonlinear control theory, optimization, motion planning, and machine learning. Key applications include autonomous UAV flight, robotic manipulation, and legged locomotion. He has published extensively on topics like uncertainty quantification, safe reinforcement learning, and formal guarantees for robotic systems. Educated with a Ph.D. in Electrical Engineering and Computer Science from MIT (2016) and a B.S.E. in Mechanical Engineering and Mathematics from the University of Pennsylvania (2011). Postdoctoral scholar at Stanford University's Autonomous Systems Lab (2016-2017). His work emphasizes algorithmic innovation and theoretical rigor. Recent publications highlight advancements in robust control, vision-language models for robotics, and frameworks for safe AI deployment. Scientific Awards Sloan Fellowship ONR Young Investigator Program (YIP) award NSF CAREER award Google Faculty Research Award (twice) Amazon Research Award (twice) He leads the Intelligent Robot Motion Lab and has received multiple accolades for teaching and research excellence at Princeton.

• Lean Product Development
• Systems Engineering
• Platform Development
• +۳ مورد دیگر

Dag Henrik Bergsjö serves as an Assistant Professor in Product Development at Chalmers University of Technology. His academic work focuses on integrating lean methodologies with systems engineering approaches to optimize product development processes. Dr. Bergsjö's research spans several interconnected domains of engineering management and systems design. His primary interests include Lean Product Development, Systems Engineering, and Platform Development (covering technology, product, and production platforms). He is actively working to develop the research area of Platform-based Product Development and explores the combination of Lean Product Development with Product Data Management (PDM/PLM). His work particularly emphasizes Lean Product Development tools such as Pulse, visual planning, and checklists. His recent publications (2019-2025) demonstrate a consistent focus on human-centric manufacturing systems, knowledge management in engineering contexts, and the application of lean principles to complex product development challenges. The research trends show increasing attention to socio-technical aspects of digitalization in industrial engineering processes and the development of frameworks for designing human-centric manufacturing systems for novel products. Dr. Bergsjö has secured significant research funding through multiple projects, primarily supported by VINNOVA and other Swedish research agencies. His projects span various domains including digital product development centers, AI analysis in construction projects, knowledge sharing in digital collaborative projects, and sustainable manufacturing methods. He leads and participates in several research initiatives including the Wingquist Laboratory: Digital Center for Product Development (2024-2024), Smart Module for AI Analysis during the Design Phase in Safety-Critical Complex Construction Projects (2024-2025), and previously led projects such as KIDSAM: Knowledge and Information Sharing in Digital Collaborative Projects (2018-2021), TechMo: Technology Modeling of Sustainable Manufacturing Methods in the Electronics Industry (2017-2018), and several others focused on platform-based development, digitalization, and lean methodologies.

J. Westerweelمشاهده پروفایل

استاد

• Fluid Mechanics
• Particle Image Velocimetry (PIV)
• Turbulent Flow
• +۵ مورد دیگر

J. Westerweel is a Professor in the Department of Fluid Mechanics at Delft University of Technology, School of Mechanical Engineering. His research focuses on experimental fluid dynamics, particularly in Particle Image Velocimetry (PIV) , turbulent flow , and microfluidic systems . He has contributed extensively to understanding coherent structures , drag forces , and flow measurement methodologies . Research Trends: Recent works emphasize 3D flow reconstruction , microbubble dynamics , programmable hydrodynamics , and industrial fluid applications such as gypsum slurry flow optimization. His studies span both fundamental turbulence analysis and applied techniques in rowing propulsion , compliant coatings , and cavitation mitigation . Editorial Contributions: He has served as an editor for Experiments in Fluids and Flow, Turbulence and Combustion , ensuring quality in experimental methods across fluid mechanics.

Paula Findlenمشاهده پروفایل

استاد

• Early Modern Europe
• Medieval Europe
• Science, Technology, Environment, and Medicine
• +۱۱ مورد دیگر

Paula Findlen is the Ubaldo Pierotti Professor of History at Stanford University and a Professor by courtesy in French and Italian. She serves as Project Lead for the Early Modern Mobility initiative, which explores historical communication and transportation networks (1500-1800) through digital mapping. Education : B.A. in Medieval/Renaissance Studies (Wellesley College, 1984), M.A. in History (UC Berkeley, 1985), Exchange Scholar (University of Chicago, 1986), Ph.D. in History (UC Berkeley, 1989) Her research spans the evolution of scientific and medical knowledge, Renaissance Italy, and Gilded Age America, with a focus on interdisciplinary projects like digitizing historical networks. She examines how Renaissance thinkers integrated science with humanism, challenging C.P. Snow’s "two cultures" model. Recent publications include Early Modern Things: Objects and Their Histories (2021) and Empires of Knowledge: Scientific Networks in the Early Modern World (2019), which analyze global knowledge exchange. Her work with the Rome Archive Seminar and Pioneer Academics program highlights her commitment to graduate training and high school education. Scientific Awards : Premio Galileo (2016) As Director of Stanford’s Education as Self Fashioning (ESF) and Masters in Liberal Arts (MLA) programs, she fosters interdisciplinary learning. She advises students at all levels and utilizes digital humanities to reshape historical inquiry.

• Biocatalysis
• Enzyme Technology
• Analytical Chemistry
• +۲ مورد دیگر

Carl Grey is a Senior Lecturer and Office Director at the Division of Biotechnology and Applied Microbiology within Lund University's Faculty of Engineering (LTH). He is an active member of the LTH Profile Area: Food and Bio, contributing to research at the intersection of biotechnology and food science. His academic profile includes substantial research output with expertise validated by ORCID (0000-0001-5701-7303) and ongoing collaborations. His research focuses on bioprocess technology and enzyme applications, with particular emphasis on: Biocatalytic systems development and enzyme engineering Analytical methods for complex biological samples Sustainable food production technologies Microbial biotechnology and biomolecular analysis Bioremediation and environmental biotechnology applications Analysis of Dr. Grey's recent publications reveals a strong interdisciplinary approach combining biotechnology with computational methods, food science, and environmental applications. His work consistently addresses fundamental biochemical processes while developing practical applications in sustainable bio-production. As a supervisor, Dr. Grey mentors PhD students in projects related to biosynthesis pathways including: Bio-synthesis of capsaicinoids in yeast systems Whole-cell biocatalysis for chiral amine production He also leads research projects such as the FORCE Center for Food Resilience and Competitiveness (2024-2028), focusing on sustainable food systems. Dr. Grey operates within Lund University's biotechnology research infrastructure, collaborating with specialized labs including the Microbial Flow Cytometry facility. His team works on developing innovative bioprocessing techniques and analytical methodologies.