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Allen J. Scott is a Distinguished Research Professor at the University of California, Los Angeles, with a joint appointment in the Department of Public Policy (School of Public Affairs) and Department of Geography. He has held prestigious positions at UCLA since 1994 and previously at the University of Toronto (1969–1994). His career spans over five decades, focusing on urban geography, regional development, and cultural economy. Education : BA (1961) from Oxford University; MA and PhD (1962, 1965) from Northwestern University. Research Interests include: Creative cities and cognitive-cultural capitalism Political economy of urbanization and globalization Industrial clusters and labor-intensive economies Human capital distribution in metropolitan areas Cultural landscapes and peripheral development Publication Trends (2005–2014) emphasize: Globalization's impact on low-technology industries Cognitive-cultural capitalism in urban contexts Human capital dynamics in metropolitan hierarchies Celebrity culture and urban glamour Creative field theories and urban policy implications Scientific Awards : 1986 Guggenheim Fellow 2003 Vautrin Lud Prize 2005 Meridian Book Prize 1999–2013: Chaires d’Excellence, Fellowships, and Doctor Honoris Causa 2008 Carol and Bruce Mallen Lifetime Achievement Award 2003 ISI Highly Cited Author

• Urban geography
• Regional development
• Globalization
• +3 more

Dr. Yunjie Yang is an Associate Professor at the University of Edinburgh's School of Engineering, with affiliations at the Edinburgh Futures Institute (EFI), the Edinburgh Generative AI Laboratory (GAIL), and the Edinburgh Centre for Robotics. He previously held the Chancellor's Fellow in Data Driven Innovation (2018-2023) and Bayes Innovation Fellow (2023-2024) positions. His research focuses on AI-powered sensing and imaging, machine learning, and soft sensors & electronics for robotics. Yang received his PhD in Engineering Electronics from the University of Edinburgh, MSc in Control Science & Engineering from Tsinghua University, and BEng in Measurement & Control Engineering from Anhui University. After his PhD, he worked as a Postdoctoral Research Associate in Chemical Species Tomography before securing his lectureship. His research interests center on developing intelligent sensing systems that replicate human perception capabilities for robotics and intelligent systems. He pioneers flexible sensing and imaging technologies across various scales through innovative multi-modal sensors, soft electronics, and their modeling using machine learning approaches. His work aims to enable autonomous physical artificial intelligence by bridging the gap between robotic systems and human-like perception. Analysis of his recent publications reveals a strong focus on soft robotics perception, particularly through electrical impedance tomography (EIT) and transformer-based architectures. His research spans medical imaging applications, digital twin modeling for industrial processes, and machine learning approaches for sensor data interpretation. The trend shows increasing integration of physics-informed deep learning with traditional tomographic techniques to achieve higher accuracy and efficiency. European Research Council (ERC) Starting Grant (2024) IEEE J. Barry Oakes Advancement Award (2024) IEEE I&M Society Graduate Fellowship Award (2015) Multiple Best Paper Awards Senior Member of IEEE Fellow of the International Society for Industrial Process Tomography Fellow of the Higher Education Academy ESI highly cited papers Dr. Yang serves as Associate Editor for IEEE Transactions on Instrumentation and Measurement and holds editorial positions with Scientific Reports and IEEE Sensors Journal. His research has been licensed to overseas research institutes and industry partners and received wide media coverage including BBC, EFE, USA Today, and STV. He has secured significant grant funding including the prestigious ERC Starting Grant. He leads the Edinburgh SMART Lab (Sensing/imaging + Machine Learning + Robotics), which aims to replicate human perception capabilities for robotics and advance flexible sensing technologies through innovative multi-modal sensors and machine learning approaches. The lab focuses on enabling autonomous physical artificial intelligence with applications spanning medical diagnostics, industrial monitoring, and advanced robotics systems.

• AI-powered sensing and imaging
• Machine learning
• Soft sensors & electronics for robotics
• +5 more

Giovanni Dosi is a Professor of Economics at the Institute of Economics, Scuola Superiore Sant'Anna, Pisa, Italy . He co-directs the Intellectual Property Task Force at Columbia University's Initiative for Policy Dialogue and serves as a Continental Europe Editor for Industrial and Corporate Change . Recognized as an ISI Highly Cited Researcher and a Corresponding Member of Accademia Nazionale dei Lincei , his work spans evolutionary economics and innovation studies. Education: Laurea in Philosophy (1976, University of Milan), PhD in Economics (1983, University of Sussex) Dosi’s research focuses on Economics of Innovation , Industrial Dynamics , and Agent-Based Macroeconomics , analyzing how technological and organizational innovations drive capitalist systems. His work examines global value chains, productivity slowdowns, and the role of policy in innovation ecosystems. Scientific Awards: 2022 Penrose Award (EURAM) for evolutionary economics 2016 Wiley TIM Distinguished Scholar Award ISI Highly Cited Researcher (since 2010) Honorary Professor, Manchester Business School (since 2009) Commendatore al merito della Repubblica Italiana (since 2014)

• Evolutionary economics
• Economics of innovation
• Industrial dynamics
• +8 more

Univ.-Prof. Torsten Möller, PhD is a Professor at the University of Vienna and serves as Head of the Research Group Visualization and Data Analysis and Head of the Research Network Data Science. His work spans data visualization, visual analytics, and human-computer interaction, with a focus on biomedical, environmental, and societal data applications. Academic rank: Professor Research group: Visualization and Data Analysis Network: Data Science Email: torsten.moeller@univie.ac.at Research interests include: Visual data analysis for complex systems Interdisciplinary applications in climate science and medicine Human-computer interaction in data exploration Image processing and computer graphics Recent publication trends show expertise in: Visualizing climate change and pandemic data Multi-volumetric and network analysis Algorithmic transparency and user-centered design Interdisciplinary collaborations (e.g., astrophysics, medical imaging) Statistical and uncertainty visualization Design frameworks for visualization recommendation Teaching includes courses in: Computer graphics and visualization Image processing and analysis Human-computer interaction Data analysis projects Doctoral research seminars

• Data Visualization
• Visual Data Analysis
• Data Science
• +3 more

Professor Marta Zofia Kwiatkowska is Professor of Computing Systems and Fellow of Trinity College at the University of Oxford, where she has held a faculty position since 2007. She previously served as Professor of Computer Science at the University of Birmingham (2001–2007), Reader and Lecturer at the University of Birmingham (1994–2001), and Lecturer at the University of Leicester (1986–1994). Her academic career began as Assistant Professor at the Jagiellonian University in Kraków, Poland (1980–1988). Education: BSc/MSc in Computer Science, Jagiellonian University, Kraków MA, University of Oxford PhD, University of Leicester Research Interests: Professor Kwiatkowska spearheaded the development of probabilistic and quantitative verification methods on the international stage. Her work bridges theory and practice through the PRISM model checker—the leading software tool in probabilistic model checking—used worldwide for research and teaching. Application domains include communication and security protocols , nanotechnology designs , power management , ubiquitous computing and systems biology . She investigates automated verification , temporal logics , semantic models for concurrency , real-time systems , and biological process modelling . Current grant funding exceeds £3.7 million from EPSRC, EU and ERC, including the prestigious ERC Advanced Grant VERIWARE. Scientific Awards & Honours: Fellow of the Royal Society Fellow of the ACM Fellow of the European Association for Theoretical Computer Science (EATCS) Fellow of the British Computer Society (BCS) Fellow of the Polish Society of Arts & Sciences Abroad ERC Advanced Grant VERIWARE (€2.046 M, 2010–2015) Top Cited Article Award, Theoretical Computer Science (2005–2010) Best Paper Award, QEST 2006 Doctoral Supervision & Grants: Professor Kwiatkowska actively supervises doctoral students (D.Phil. at Oxford) and post-doctoral researchers. She welcomes applications in areas aligned with her research interests, detailed here . Current students include Charlie Griffin, Daqian Shao, Matthew Yuan and Minghao Liu; past students and researchers number over twenty, many now in faculty or industry leadership roles. Laboratory & Teams: She leads the Oxford Quantitative Verification group within the Department of Computer Science. Ongoing projects include FUN2MODEL, ELSA, FAIR and the flagship PRISM probabilistic model checker. The group maintains strong collaborations with biological, robotics and engineering teams worldwide.

• Automated verification
• Probabilistic model checking
• Temporal logics
• +3 more

Staffan Kjelleberg is a Distinguished University Professor at Nanyang Technological University (NTU), Singapore, and Director of the Singapore National Biofilm Consortium (SNBC) and Singapore Centre for Environmental Life Sciences Engineering (SCELSE). He holds previous positions as Scientia Professor at the University of New South Wales (UNSW), Australia, and has led major research initiatives globally. His academic career spans over four decades, with roles including Head of School at UNSW and Professorships at the University of Gothenburg, Sweden. Education: BSc (Chemistry and Biology, 1975), PhD (Microbiology, 1981), and Docent (Microbiology, 1983) from the University of Gothenburg. He has authored over 384 journal papers with significant citations, reflecting his leadership in microbial biofilm research. Research focuses on microbial biofilms and microbiomes, addressing environmental sustainability, public health, and industrial applications. He employs an interdisciplinary approach to study biofilm community dynamics, matrix properties, and translational technologies for biofilm control. Key contributions include discoveries on quorum sensing inhibitors, biofilm dispersal mechanisms, and eDNA roles in biofilm structure. Honours include Fellowships from the Australian and American Academies of Microbiology, Web of Science Highly Cited Researcher status, and Editor roles for 15 international journals. He leads major programs like the Marine Climate Change Science initiative and has co-directed global research centers such as the Centre for Marine Bio-Innovation. Advising and grants: While specific student names are not listed, his extensive leadership in research programs indicates mentorship of numerous scholars. His work bridges fundamental and applied microbiology, impacting environmental and biomedical fields. Labs/Teams: Directs SCELSE and SNBC, co-founded the Centre for Marine Bio-Innovation, and collaborates internationally on biofilm and microbiome research.

• Microbial Biofilms
• Environmental Microbiology
• Antibiofilm Drug Development
• +4 more

Anita Zehrer is a Professor at the MCI Management Center Innsbruck, serving as Head of the MCI Management Center and the MCI Family Business Center. She holds a habilitation in Business Administration from the Catholic University of Eichstätt-Ingolstadt and a PhD in Social and Economic Sciences from the University of Innsbruck. Her academic career includes adjunct roles at institutions like the University of Notre Dame and the University of Canberra. Her research focuses on tourism management, family business dynamics, entrepreneurship, and risk management. Notable contributions include studies on family firm succession, destination competitiveness, and volunteer tourism. She has supervised numerous PhD students across topics like innovation in SMEs and female leadership in digital industries. Zehrer has been recognized with awards such as the AIEST 2021 Best Contribution Award and the Emerald Literati Award. She contributes to academic governance through editorial roles in journals like Journal of Family Business Management and TA | Tourism Analysis . Her work bridges academic research and practical application, addressing challenges in tourism destinations, family enterprise resilience, and sustainable development. Recent projects explore generational shifts, employer branding in family firms, and resilience strategies post-pandemic.

• Tourism Management
• Family Business Studies
• Entrepreneurship
• +5 more

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor at the University of Melbourne and Founder & CEO of Manjrasoft , a spin-off commercializing cloud innovations. He has held visiting roles at Imperial College London , University of Birmingham , and Tsinghua University . Research Interests : His work spans Cloud Computing , Edge Computing , Grid Systems , and Energy-Efficient Computing , focusing on utility-driven resource allocation, simulation tools, and scalable IoT application frameworks. He pioneered the CloudSim toolkit and Aneka Cloud technologies. Scientific Awards : IEEE Fellow (2015), Web of Science Highly Cited Researcher (2016-2021) Khwarizmi International Award (2020), Scopus Researcher of the Year (2017) Frost & Sullivan New Product Innovation Award (2010), IEEE TCSC Medal (2009) Impact : Authored over 850 publications, including the widely adopted textbook Mastering Cloud Computing . Graduated 54 PhD students now in leadership roles at institutions like Newcastle University and companies such as IBM , Google , and Amazon . His research has driven global adoption of cloud/edge technologies in 50+ countries.

• Cluster computing
• Grid computing
• Software systems
• +7 more

Olaf Steinbach is a University Professor (Univ.-Prof.) at the Institute of Applied Mathematics at Graz University of Technology. His academic career spans over three decades with continuous research activity from 1992 to the present, including publications scheduled for 2026. He serves as a project manager for several research initiatives including the Special Research Area (SFB) F90 Computational Electric Machine Laboratory, which runs from 2022 to 2026. Professor Steinbach's research interests primarily focus on Numerical Analysis and Computational Mathematics . His work centers around developing and analyzing advanced numerical methods, particularly Finite Element Methods (FEM) and Boundary Element Methods (BEM), for solving partial differential equations (PDEs) and optimal control problems. His research spans both theoretical aspects (such as error analysis, stability, and convergence) and practical applications (including electric machines, electromagnetics, and biomechanics). He has made significant contributions to space-time finite element methods, which treat time as an additional dimension in the discretization process, leading to more robust and efficient solvers for time-dependent problems. Analysis of his recent publications (2021-2026) reveals a strong focus on optimal control problems governed by partial differential equations, with particular emphasis on elliptic, parabolic, and hyperbolic PDEs. His work demonstrates a consistent pattern of developing robust numerical methods with rigorous error analysis, often incorporating regularization techniques to handle challenging constraints. The applications span computational electromagnetics (particularly electric machines), fluid dynamics, and wave propagation problems. His research increasingly incorporates advanced computational techniques including parallel computing and isogeometric analysis. Professor Steinbach has supervised numerous doctoral students and has been actively involved in organizing academic events, including summer schools on Boundary Element Methods. His collaborative network extends across multiple disciplines and institutions, reflecting the interdisciplinary nature of his work in computational mathematics. His research has been supported through multiple significant projects including DK-W1244 Doctoral Program on Partial Differential Equations, the EU CASOPT project on optimization of industrial devices, and the ongoing Special Research Area on Computational Electric Machine Laboratory. These projects demonstrate his leadership in establishing research frameworks that bridge theoretical mathematics with practical engineering applications. Professor Steinbach maintains an active research group within the Institute of Applied Mathematics, collaborating closely with researchers in computational engineering, electrical engineering, and biomechanics. His work on the Computational Electric Machine Laboratory represents a particularly strong interdisciplinary effort combining mathematical theory with electrical engineering applications.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +4 more

Wojciech Czakon is a Full Professor and chair of the Strategic Management Department at Jagiellonian University in Poland. He has held leadership roles as Head of the Management Theory Department (University of Economics in Katowice) and Professor at the Higher Schools of Banking in Poznan. His academic career spans multiple institutions, including visiting positions at Universita delli Studi di Roma 2 Tor Vergata. Education: PhD in Management (2002) Habilitation in Management (2007) Professor title in Economics (2013) His research focuses on organizational behavior, strategic management, coopetition, family business dynamics, and qualitative research methodologies. Recent work explores digital transformation, strategic myopia, and the behavioral antecedents of coopetition. Publication Trends: His 2014-2022 papers on coopetition strategies—covering trust, behavioral factors, and performance metrics—have received significant citations. Recent projects analyze innovation ecosystems and entrepreneurial failure. Scientific Awards: 2022 Best book award (Organization and Management Committee of the Polish Academy of Sciences) 2021 Outstanding research achievement award (Prime Minister of Poland) Honoris causa doctor (Wroclaw University of Business and Economics) Top 5 global scholar in coopetition research Community Service: He has served as Vice-president of the European Academy of Management, co-chair of EURAM doctoral colloquium, and organizer for conferences like EURAM, EIASM, and IFERA. He also co-edits anthologies and special issues in journals such as Long Range Planning and Industrial Marketing Management.

• Organizational behavior
• Strategic management
• Coopetition
• +4 more

Zhao Guoying is an Academy Professor at the Academy of Finland and holds a tenured Full Professorship at the University of Oulu, Finland. His research focuses on human behavior understanding, emotion AI, and computer vision. He has held visiting positions at institutions including Stanford University and Aalto University. He earned his PhD (2005) in Computer Science from the Chinese Academy of Sciences. His work has led to pioneering contributions in facial expression analysis, micro-expression recognition, and remote physiological signal measurement. Zhao has secured over €19.8 million in research grants as PI, including the prestigious Academy Professor Grant (2021-2026) and Profi-7 Hybrid Intelligence funding. He has supervised 22+ PhD students and 16+ postdocs, many of whom hold academic and industry leadership roles. His awards include IEEE Fellow (2022), IAPR Fellow (2020), and Finland’s Most Publishing AI Researcher (2017). His research interests span machine learning, affective computing, and feature representation. Notable contributions include the first systems for spontaneous micro-expression analysis, novel methods for face anti-spoofing, and remote health monitoring via video. He actively organizes conferences (e.g., Arctic AI Days) and chairs committees such as the Finnish AI Society board.

• Human Behavior Understanding
• Machine Learning
• Emotion AI
• +5 more

Paolo Samorì is a full-time Professor at the Université de Strasbourg , where he serves as Director of the Nanochemistry Laboratory and Emeritus Director of the Institut de Science et d'Ingénierie Supramoléculaires (ISIS) . He is affiliated with multiple prestigious academies, including the German National Academy of Science and Engineering (ACATECH) , Royal Society of Chemistry (FRSC) , and European Academy of Sciences (EURASC) . Education: Laurea (MSc) in Industrial Chemistry (University of Bologna, 1995), PhD in Chemistry (Humboldt University Berlin, 2000, summa cum laude). His research focuses on Nanochemistry , 2D materials , and supramolecular systems at interfaces , with applications in organic electronics , optoelectronics , and sensing . He pioneered methods for scanning probe microscopies and photoresponsive nanodevices , including graphene-based systems and diarylethene molecular switches. His scientific awards include the ERC Advanced Grant (2019) , Blaise Pascal Medal (2018) , and Catalán-Sabatier Prize (2017) , among 20+ honors. He has trained over 130 students and researchers , including 34 professors now active globally.

• Nanochemistry
• Supramolecular Chemistry at surfaces and interfaces
• 2D materials
• +7 more

Alan Bovik is the Cockrell Family Regents Endowed Chair Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin's Cockrell School of Engineering. He also holds positions at The Institute for Neurosciences and serves as Director of the Laboratory for Image and Video Engineering (LIVE). With a career spanning over three decades at UT Austin, he has progressed from Assistant Professor (1984-1988) to Associate Professor (1988-1994) to his current position as Full Professor (1994-present). Dr. Bovik received his Ph.D. in Electrical and Computer Engineering in 1984 from the University of Illinois, Urbana-Champaign. Professor Bovik's research focuses on image and video quality assessment, visual perception, and digital media processing. He is renowned for developing groundbreaking algorithms including the Structural Similarity (SSIM) index, Visual Information Fidelity (VIF), and various blind quality assessment models like BRISQUE and NIQE. His work bridges engineering and neuroscience, creating perception-based models that optimize visual media delivery while reducing bandwidth consumption. These innovations have had profound industry impact, with his algorithms processing a significant proportion of global internet video traffic. His recent publications demonstrate continued leadership in perceptual quality assessment, with increasing focus on AI-generated content, high dynamic range (HDR) video, and novel applications in medical imaging. The research shows a clear trajectory toward more sophisticated, neural network-based quality metrics that better align with human visual perception across diverse content types. Professor Bovik has received numerous prestigious awards recognizing his contributions to the field: John Fritz Medal (2024) IEEE Edison Medal (2022) IAMB BaM Award (2022) Elected to the United States National Academy of Engineering (2022) Technology and Engineering Emmy Award (2021) IEEE Fourier Award for Signal Processing (2019) Progress Medal from The Royal Photographic Society (2019) Named Honorary Fellow of The Royal Photographic Society (2019) Primetime Emmy Award (2015) Edwin H. Land Medal from The Optical Society (2017) As Director of the Laboratory for Image and Video Engineering (LIVE), Professor Bovik has secured substantial research funding from organizations including the National Science Foundation and the National Institute for Standards and Technologies. His lab has produced numerous influential datasets including the LIVE Image and Video Quality Databases. He has mentored many successful students who have gone on to make significant contributions in academia and industry, though specific student names are not provided in the source materials. The Laboratory for Image and Video Engineering (LIVE) under Professor Bovik's direction has become a world-renowned center for research in perceptual image and video quality. The lab maintains close collaborations with major technology companies including Netflix, Amazon, and YouTube, ensuring that research has direct practical applications. LIVE has developed numerous influential tools and databases that are widely used in both academic research and industrial applications worldwide.

• Image quality
• Video compression
• Streaming video
• +7 more

Alessandro Astolfi is a Professor of Nonlinear Control Theory in the Department of Electrical and Electronic Engineering at Imperial College London, where he has been faculty since 1996. He also holds a professorship at the Department of Civil Engineering and Computer Science Engineering at the University of Rome Tor Vergata since 2005. From 2022 to 2025, he serves as College Consul for the Faculty of Engineering and Business School, and previously served as Head of the Control and Power Group from 2010 to 2022. His research expertise spans multiple areas of control theory: Nonlinear control theory Adaptive and robust control Discontinuous stabilization Model reduction Geometric control theory Observer design Astolfi's work has produced significant applications across diverse fields including aerospace systems (under-actuated satellites, autonomous aircraft), power systems (multi-machine systems), game theory (population dynamics, multi-agent systems), and industrial processes (model reduction applications). His research contributions have been recognized with numerous prestigious awards: 2003 Philip Leverhulme Prize for outstanding research achievements of young scholars 2007 IEEE Control Systems Society Antonio Ruberti Young Researcher Prize 2009 IEEE Fellow for contributions to nonlinear control theory 2009 Googol Best New Application Paper Award 2012 George S. Axelby Outstanding Paper Award 2012 IEEE CSS Distinguished Member Award 2015 Sir Harold Hartley Medal from the Institute of Measurement and Control (UK) Professor Astolfi has authored more than 120 journal papers, 30 book chapters, and over 240 conference papers. He co-authored the monograph 'Nonlinear and Adaptive Control with Applications' (Springer-Verlag). He currently serves as Chair of the IEEE CSS Conference Editorial Board and has participated in program committees of numerous international conferences. His research group at Imperial College London maintains strong connections with academic institutions worldwide including ETH Zurich, Rice University, and SUPELEC, with whom he has established visiting lecturer relationships spanning decades.

• Nonlinear control theory
• Adaptive control
• Robust control
• +5 more

Professor Paolo Fornasiero is a Full Professor of Inorganic Chemistry at the University of Trieste, Department of Chemical and Pharmaceutical Sciences, where he has worked since 1998. He serves as Deputy Director of the department since 2021 and Scientific Responsible of the CNR Research Unit associated with the Institute of Chemistry of OrganoMetallic Compounds (ICCOM) since 2008. His career spans EU projects, bilateral collaborations with China, India, and Argentina, and leadership roles in journals like ACS Catalysis (Executive Editor since 2021). Full Professor (2016–present) Associate Professor (2006–2016) Assistant Professor (1998–2006) Post-Doc, University of Reading (1996–1997) His research focuses on multi-functional metal-oxide nanosystems for energy and environmental catalysis, including green hydrogen production , CO2 valorization , and methane emission control . He pioneered core-shell catalysts and single-atom systems for stability and selectivity. His work extends to solid oxide fuel cells and photocatalytic water depollution . Recent publications highlight trends in photothermal catalysis , single-atom catalysts , and CO2 electroreduction . His 280+ papers (3 in Science , 2 in Nature Communications ) reflect expertise across Environmental Catalysis , Nanomaterials , and Green Energy . 2022 Malatesta Medal 2021 European Academy of Sciences member 2017 Edoardo Kramer Award 2016 Heinz Heinemann Award 2013 Chiusoli Gold Medal He oversees PhD/postdoc advising and participates in global capacity-building via UNIDO and World Academy of Sciences . His lab collaborates with institutions like KAUST , Czech Academy of Sciences , and Dalian Institute of Chemical Physics .

• Heterogeneous Catalysis
• Nanostructured Materials
• Environmental Catalysis
• +7 more