جست‌وجوی استاد و پژوهشگر

Alessio Facciaمشاهده پروفایل

استادیار

• Finance
• Accounting
• Accounting Information Systems
• +۱۶ مورد دیگر

Dr. Alessio Faccia is an Assistant Professor in Finance at the School of Business and Law, University of Birmingham Dubai, with a strong international academic and professional background. He holds a PhD in Business Economics (Accounting & Finance) from Università Politecnica delle Marche and has taught at institutions in Italy, UAE, UK, and Malta. He is also a qualified Chartered Accountant and Auditor in Italy, with prior experience at Accenture and as founder of an independent audit firm. Education: PhD in Business Economics (Accounting & Finance), Università Politecnica delle Marche, 2012 MBA (Hons) in Business Economics & Accounting, Università Roma TRE, 2006 BSc in Business Economics and Accounting, Università Roma TRE, 2004 LLM, Pegaso University, 2019 MSc in Criminology, Pegaso University, 2017 CA (Chartered Accountant and Auditor), Italy, 2009 Fellow of the Higher Education Academy (FHEA), 2021 Certified Management & Business Educator (CMBE), 2020 His research spans interdisciplinary domains including blockchain, accounting information systems, machine learning, fraud examination, and sustainable finance. He explores how emerging technologies like AI, blockchain, and cognitive computing can enhance transparency, resilience, and innovation in financial systems. His work often bridges theory with practical applications in fintech, auditing, and regulatory compliance. His recent publications reflect a strong trend toward leveraging big data, blockchain, and AI to transform traditional finance and accounting practices. Topics include blockchain for supply chain risk, NLP for financial transparency, generative AI in education, and quantum fintech. These contributions appear in high-impact journals such as Annals of Operations Research , Sustainability , and Big Data and Cognitive Computing . Scientific Awards and Recognition: Fellow of the Higher Education Academy (FHEA), 2021 Certified Management & Business Educator (CMBE), 2020 Dr. Faccia actively contributes to the academic community as a reviewer for top-tier journals including Technovation , Chaos, Solitons & Fractals , PLoS ONE , and International Journal of Production Economics . He serves on the editorial board of the International Journal of Accounting & Finance Review and Journal of Risk and Financial Management . He has also acted as Guest Editor for special issues and Publicity Chair for international conferences, demonstrating leadership in academic dissemination. He supervises MSc students’ dissertations in finance and accounting and teaches postgraduate modules such as Financial Statement Analysis, Risk Management, and Alternative Finance. His advisory role extends to guiding research on blockchain, fraud, and sustainable business models. He has no listed grants, but his collaborative research indicates strong engagement with international scholars. Dr. Faccia is involved in cutting-edge research teams focused on blockchain, AI in finance, and digital transformation. He contributes to initiatives like the International Conference on Cloud and Big Data Computing and participates in technical research on ERP integration, semantic web applications, and cybersecurity resilience, positioning him at the forefront of technological innovation in business education.

Hanna Vehkamäkiمشاهده پروفایل

استاد

• Atmospheric Science
• Physical Chemistry
• Computational Chemistry
• +۷ مورد دیگر

Hanna Vehkamäki is a Professor at the Faculty of Science, University of Helsinki , and Vice Dean responsible for well-being, equality, bilingual affairs, and facilities/safety. She leads the Academy of Finland Center of Excellence VILMA (2022-2029) focused on molecular-level atmospheric transformations. Field of Science: Physical Sciences Email: hanna.vehkamaki@helsinki.fi Address: P.O. Box 64, Gustaf Hällströmin katu 2, 00014 Helsinki Her research bridges atmospheric science , physical chemistry , and computational modeling , with a focus on molecular cluster dynamics, ion-induced nucleation, and aerosol-cloud-climate interactions. She develops tools for molecular-level atmospheric simulations and machine learning applications in predicting particle formation. Recent publications highlight her work on APi-ToF mass spectrometer optimization , α-pinene ozonolysis mechanisms , and alkylammonium ion mobility . Her projects include VILMA (Virtual laboratory for molecular-level atmospheric transformations) and Atmospheric Mathematics . Scientific Awards : Finnish Aerosol Research Foundation Distinguished Scientist Award (2014) Magnus Ehrnrooth Foundation award (2010) Suomen Valkoisen Ruusun I luokan ritarimerkki (2022) NOSA Aerosologist Award (2014) University of Helsinki Maikki Friberg award (2015) She supervises Master’s/PhD theses (e.g., hydration layer simulations on K-feldspar) and participates in international conferences (e.g., ISSPIC XVIII, Gordon Research Seminar). Her grants include the Academy of Finland Center of Excellence and the Jane and Aatos Erkko Foundation project RESTART.

Tor-Morten Grønliمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +۴ مورد دیگر

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +۵ مورد دیگر

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

• Numerical Analysis
• Applied Mathematics
• Scientific Computing
• +۴ مورد دیگر

Virginie Ehrlacher is a Professor at CERMICS, École des Ponts ParisTech (ENPC), France. She specializes in applied mathematics with a focus on high-dimensional problems, numerical analysis, and computational modeling. Her work bridges quantum chemistry, materials science, and machine learning through innovative mathematical frameworks. Education includes: PhD in Mathematics (2012) from ENPC: Mathematical models in quantum chemistry and uncertainty quantification Habilitation (2020) from Université Paris-Dauphine: Mathematical and numerical analysis of high-dimensional and multiscale problems in materials science Research spans multiscale modeling, tensor decompositions for high-dimensional systems, cross-diffusion equations, and scientific machine learning. Her work frequently addresses challenges in quantum mechanics, materials science, and computational physics using advanced numerical techniques. Publications emphasize: Algorithms for high-dimensional PDEs and eigenvalue problems Model reduction techniques (tensor networks, reduced basis methods) Cross-diffusion systems with biological/physical applications Neural networks for scientific computing Awards and distinctions: Irène Joliot-Curie Prize (2023) Chevalier de l’Ordre National du Mérite (2025) Leadership includes: ERC Starting Grant HighLEAP (2023–2028) ERC Synergy project EMC2 (2020–2026) ANR JCJC project COMODO (2019–2023) She co-leads the EMS Topical Activity Group on Scientific Machine Learning. Affiliated with the CERMICS laboratory, she collaborates on interdisciplinary teams tackling multiscale and data-driven modeling challenges.

• Artificial Intelligence
• Physics
• Computer Technology
• +۴ مورد دیگر

Pedro Lind is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, where he serves in the Department of Information Technology with a focus on Artificial Intelligence. His academic appointments include active participation in research groups for Applied Artificial Intelligence and Mathematical Modeling. Dr. Lind's research spans interdisciplinary domains including: Biomedical AI applications (EEG classification, ECG analysis, eye tracking) Stochastic processes and complex systems modeling Trustworthy machine learning for security/privacy Physics-inspired computational methods Renewable energy statistics and modeling His recent publications demonstrate strong focus on developing novel AI methodologies for medical diagnostics (2024-2025), particularly using generative models and interpretable AI approaches for physiological data analysis. He leads significant research initiatives including the AI-Mind project developing diagnostic tools for dementia. Additional projects include international technology transfer collaborations with Czech Republic institutions. Dr. Lind maintains active research teams and labs focused on computational neuroscience and applied AI.

• Quantum Information
• Theoretical Physics
• Quantum Computing
• +۳ مورد دیگر

Hans Briegel is a Professor at the Institute for Theoretical Physics, University of Innsbruck, and a Corresponding Member of the Division of Mathematics and Natural Sciences in Austria since 2013. His research focuses on quantum information, computation, and entanglement. Research Interests Professor Briegel's work spans Quantum Information , Quantum Computing , and Entanglement , with notable contributions to measurement-based quantum computation and projective simulation in AI. His research explores theoretical models and practical applications in quantum systems. Scientific Awards Senior Fellowship of the Descartes Centre for the History and Philosophy of the Sciences and the Humanities, Utrecht University Honorary Visiting Professor at the University of Bristol Feodor Lynen-Forschungsstipendium der Alexander von Humboldt-Stiftung Contact: hans.briegel@oeaw.ac.at , Hans.Briegel@uibk.ac.at .

Lisa Kalteneggerمشاهده پروفایل

دانشیار

• Exoplanets
• Astrobiology
• Atmospheric Modeling
• +۴ مورد دیگر

Lisa Kaltenegger serves as Associate Professor in the Department of Astronomy within Cornell University's College of Arts and Sciences, and is the Founding Director of the Carl Sagan Institute (CSI). Her interdisciplinary work bridges astrophysics and astrobiology, focusing on modeling habitable worlds and developing techniques to detect life beyond Earth. She maintains affiliations as Research Associate at Harvard-Smithsonian Center for Astrophysics and the American Museum of Natural History. Her research centers on exoplanet atmospheric modeling , biosignature detection , and habitable zone characterization . Kaltenegger pioneered methods for analyzing light fingerprints of alien worlds, creating evolutionary spectra of Earth through geological time to identify life indicators. Her work with NASA's TESS mission and JWST's NIRISS instrument drives observational strategies for future telescopes. She leads the CSI's development of a forensic toolkit for life detection across diverse planetary environments. Notable publications trends show increasing focus on machine learning applications for exoplanet characterization, temporal biosignatures through Earth's evolutionary history, and specialized detection techniques for challenging environments like volcanic exoplanets and icy worlds. Recent work emphasizes practical observational strategies for JWST and future missions. Award highlights include: Heinz Maier-Leibnitz Prize for Physics (Germany) Doppler Prize for Innovation in Science (Austria) Beatrice Tinsley Lecturer (Royal Astronomical Society of New Zealand) IAU Invited Discourse lecture at General Assembly Selection as pioneering woman scientist by Annual Reviews Kaltenegger mentors numerous graduate students in exoplanet research, with current advisees including Li, Payne, and Gomes-Barrientos. She serves on NASA senior review panels and NSF's Astronomy and Astrophysics Advisory Committee, securing significant research funding for exoplanet science. As CSI Director, she leads interdisciplinary teams developing spectral libraries and observational frameworks for life detection. Her upcoming book 'Alien Earths' (April 2024) synthesizes decades of research on finding life in the cosmos, reflecting her commitment to science communication through IMAX films, TED talks, and public lectures reaching six continents.

Björn Möllerمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Signal Processing
• +۳ مورد دیگر

Björn Möller, a researcher at the Department of Signal Processing and Machine Learning within the Faculty of Electrical Engineering, Information Technology, and Physics at Technical University of Braunschweig, specializes in machine learning and computer vision applications. His academic journey includes a diploma in Business Information Systems from TU Dresden (2012–2019), with a focus on Business Intelligence. Research Interests His work bridges deep learning with practical applications in two distinct domains: Advancing microscopy techniques through low-resolution data-driven super-resolution models Optimizing viticulture operations via object detection and yield prognosis systems His publications demonstrate expertise in algorithm development for both scientific imaging and agricultural technology. Publication Trends Research spans atomic-scale imaging (2024, 2023) and agricultural AI (2019, 2021). Notably, he explores how transformer architectures and super-resolution methods can solve domain-specific challenges in microscopy and vineyard management. Contact Information Email: bjoern.moeller@tu-braunschweig.de Location: Schleinitzstraße 22 (Room 302), Braunschweig Phone: +49 (0) 531 391 - 2446

Chen Fengمشاهده پروفایل

دانشیار

• Information Theory
• Coding Theory
• Blockchain Technology
• +۴ مورد دیگر

Chen Feng is an Associate Professor in the Department of Electrical Engineering at the School of Engineering, University of British Columbia (UBC), Okanagan campus. He holds the Tier-2 Principal's Research Chair in Blockchain and serves as the Co-Cluster Lead for Blockchain@UBC. Dr. Feng joined UBC in July 2015 after completing postdoctoral fellowships at Boston University and EPFL. Dr. Feng received his B.Eng. degree from Shanghai Jiao Tong University in 2006, and his M.A.Sc. and Ph.D. degrees from the University of Toronto in 2009 and 2014, respectively. Dr. Feng's research focuses on the intersection of information theory, coding theory, and blockchain technology. His work spans several key areas including: Information and Coding Theory for wireless communications Blockchain and distributed ledger technologies Quantum communications and cryptography Cloud computing optimization and analysis Stochastic analysis of distributed systems His recent research output demonstrates a strong trajectory in blockchain consensus protocols, private information retrieval, and the application of information theory to distributed systems. Dr. Feng has been actively publishing in top-tier venues with a focus on improving the performance, security, and scalability of blockchain systems. Dr. Feng has received several prestigious awards including: Best Paper Award at IEEE MSN (2021) Tier-2 Principal's Research Chair Award (2020) Visiting Fellow Scholarship at the University of Melbourne (2019) Emerging Professor Award from UBC-Okanagan School of Engineering (2017) Teaching Excellence Award (2017/18) As a graduate student supervisor, Dr. Feng teaches a range of courses from undergraduate to graduate levels, with a particular emphasis on blockchain technologies, wireless communications, and advanced engineering topics. He serves as a Senior Research Consultant for Subspace Labs and a Scientific Consultant for Creative Destruction Lab, bridging academic research with industry applications. Dr. Feng leads the Blockchain@UBC initiative, which focuses on advancing blockchain research and applications across multiple domains including clean energy, distributed systems, and secure communications.

Lars Schäferمشاهده پروفایل

استاد

• Theoretical Chemistry
• Molecular Dynamics
• Biomolecular Systems
• +۵ مورد دیگر

Lars Schäfer , Professor at the Faculty of Chemistry and Biochemistry at Ruhr University Bochum , leads the Molecular Simulation Group. His research focuses on the interplay between structure, dynamics, and function of biological macromolecules using computational methods like molecular dynamics (MD) and QM/MM simulations. Key research areas: solvation science, membrane protein dynamics, ABC transporters, and hydration thermodynamics. His group contributes to the Cluster of Excellence RESOLV and utilizes the ZEMOS facility for solvent-driven process simulations. Recent work includes collaborations on oxygen-stable hydrogenases, nanodisc modeling, and force field development (e.g., Martini 3). The group's scientific approach spans from fundamental quantum mechanical studies (e.g., atomic radii calculations) to applied research in pharmaceuticals (e.g., therapeutic protein stabilization). Their simulations provide atomic-level insights into phenomena like liquid-liquid phase separation and ATP-driven membrane transport. Labs & Collaborations : Hosted at the Center for Theoretical Chemistry (ZEMOS). Active in interdisciplinary networks: Integrated Graduate School Solvation Science, RUB Research School, and international partnerships.

Karthik Akkirajuمشاهده پروفایل

استادیار

• Heterogeneous Catalysis
• Density Functional Theory
• Material Poverty
• +۷ مورد دیگر

Dr. Karthik Akkiraju serves as Assistant Professor in the Department of Materials Engineering within UBC's Faculty of Applied Science, maintaining an active research program at the intersection of materials science and socio-environmental systems. His office (FF 011) and contact email (karthik.akkiraju@ubc.ca) reflect his current institutional affiliation. His research pioneers a techno-social paradigm for planetary health through three synergistic foci: (1) Establishing material poverty benchmarks using household survey data to identify resource-deprived communities; (2) Quantifying socio-environmental impacts across material supply chains; (3) Integrating well-being metrics into heterogeneous catalyst design frameworks. This work fundamentally reimagines materials engineering by centering human well-being within ecological boundaries, developing design methodologies that balance material requirements with equitable environmental constraints. Analysis of his publication trajectory reveals consistent interdisciplinary innovation spanning computational catalysis, environmental policy, and social metrics. His recent work demonstrates particular strength in perovskite catalyst engineering for sustainable chemistry and novel methodologies for spatial well-being assessment, reflecting a unique fusion of traditional materials science with computational social science. Dr. Akkiraju directs the Sustainable Materials Lab (SMAL), where his team develops frameworks connecting material consumption patterns to human development outcomes, creating pathways for resource allocation that simultaneously address poverty alleviation and environmental sustainability.

Hongyu Zhangمشاهده پروفایل

مدرس

• Stochastic programming
• Energy systems optimisation
• Machine learning and AI
• +۳ مورد دیگر

Dr Hongyu Zhang is a Lecturer in Optimization for Machine Learning and AI at the School of Mathematical Sciences, University of Southampton. His expertise spans operational research and energy systems optimization, with a focus on stochastic programming and quantum computing applications. PhD Operational Research, NTNU MSc Operational Research with Data Science, University of Edinburgh BSc Mathematics and Applied Mathematics, Huaqiao University His research develops optimization models and algorithms for large-scale energy system planning, integrating machine learning, artificial intelligence, and quantum computing tools to address complexities in energy transition and policy-making. Key areas include multi-timescale uncertainty analysis, decomposition methods, and offshore energy hub modelling. Recent publications show strong trends in energy systems optimization (7 papers), algorithm development for stochastic programming (4 papers), and quantum computing applications (2 papers). His work addresses European energy security, hydrogen infrastructure development, and carbon capture technologies. Currently accepting PhD applications, Dr Zhang contributes to academic supervision and teaches optimization methods at the university. He is affiliated with the Operational Research group and CORMSIS center.

Miroslav Grmelaمشاهده پروفایل

پژوهشگر

• Thermodynamics
• Transfer processes
• Mesoscopic dynamics
• +۳ مورد دیگر

Miroslav Grmela is a Researcher at the Department of Chemical Engineering in Polytechnique Montréal , and a member of the Research Center for High-Performance Polymer and Composite Systems (CREPEC) . His work spans thermodynamics, transfer processes, and multiscale modeling of complex fluids. Grmela’s research focuses on non-equilibrium thermodynamics , contact geometry in kinetic dynamics , and mesoscopic theories of polymer suspensions, superfluids, and nanocomposites. He has extensively explored the role of energy and entropy in multiscale systems, with recent publications addressing geometric formulations of thermodynamics and neural network applications to non-symplectic mechanics. Analysis of his 15 most recent articles reveals trends in multiscale thermodynamics , non-Fourier heat conduction , GENERIC formalism , and quantum hydrodynamics . His work often bridges geometric mechanics with thermodynamic consistency. Grmela has supervised 10 graduate students (7 PhD, 3 Master’s) in projects involving nanocomposite thermal conductivity , polymer rheology , and powder suspension simulations . He has no listed scientific awards. His research intersects with fluid dynamics , polymer science , and statistical mechanics , emphasizing mathematical structures like Poisson brackets and Hamiltonian formulations . The CREPEC laboratory provides institutional support for his studies on polymers and composites.

Kevin Hughesمشاهده پروفایل

مدرس ارشد

• Fuel Combustion
• Fuel Cells
• Process Modelling in Carbon Capture and Storage (CCS)
• +۳ مورد دیگر

Kevin Hughes is a Senior Lecturer in the Energy Engineering Group at the Department of Mechanical Engineering, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield. He holds a PhD and first degree in Chemistry from the University of Leicester (1987) and focuses on fuel combustion, fuel cells, and process modelling in carbon capture and storage (CCS) systems. His research combines experimental and theoretical approaches, including planar laser diagnostics, quantum chemistry, and CFD simulations. Education: PhD and BSc in Chemistry from University of Leicester. Research Interests: Fuel combustion, pollutant chemistry, PEM fuel cells, CCS process modelling, catalyst development, and combustion in supercritical CO2. Grant Projects: FP7-ENERGY-2010-2 (RELCOM), Gas-FACTS (EPSRC), EP/J020788/1, EP/M001482/1 (Selective EGR), TEABPP (Energy Technology Institute). Scientific Contributions Publications: Over 50 papers on fuel combustion mechanisms, fuel cell optimization, CCS systems, and alternative fuels. Collaborations: Regular work with M. Pourkashanian, D.B. Ingham, S. Michailos, and M.S. Ismail. Technical Expertise Chemical Kinetics Validation Quantum Chemistry Applications Gas Diffusion Layer Analysis Surrogate Fuel Development Supercritical Combustion