جست‌وجوی استاد و پژوهشگر

• Probability Theory
• Stochastic Analysis
• Numerical Analysis
• +۷ مورد دیگر

Mateusz Majka is an Assistant Professor in Stochastics at the School of Mathematical & Computer Sciences, Heriot-Watt University, Edinburgh. His research focuses on probability theory, stochastic analysis, numerical analysis, optimization, optimal transport, computational statistics, and machine learning. He holds a PhD from the University of Bonn (2017) and has held postdoctoral positions at the University of Warwick and King's College London. Education: PhD in Applied Mathematics, University of Bonn (2017) Research Fellow, University of Warwick (2018–2020) Research Associate, King's College London (2017–2018) Research Interests: Stochastic differential equations Mathematical foundations of machine learning (mean-field optimization, optimal transport, stochastic gradient algorithms) Lévy processes Ergodicity of Markov processes Monte Carlo methods (MCMC, Multi-Level Monte Carlo) Recent Research Trends: His work emphasizes algorithmic development for stochastic systems, including mean-field games, Wasserstein geometry, and convergence analysis of numerical schemes. Notable contributions span Lévy processes, Euler schemes, and coupling techniques for Markov chains. Awards: None explicitly listed. Advising & Grants: Supervises PhD students Linshan Liu (since 2021) and Razvan-Andrei Lascu (since 2022). Active in securing research funding through collaborative projects. Labs/Teams: Engaged in cross-disciplinary collaborations in computational statistics and stochastic analysis at Heriot-Watt University.

• Blockchain Technology
• Internet of Things (IoT)
• Data Security
• +۳ مورد دیگر

Ramachandran Gowri is a researcher specializing in blockchain technology, IoT security, and distributed systems. Her work focuses on advancing blockchain applications for social good, optimizing energy efficiency in mining, and enhancing cybersecurity in decentralized systems. She collaborates with institutions such as Queensland University of Technology (QUT) and has published extensively in top-tier conferences and journals like IEEE and Springer. Her research bridges theoretical frameworks with practical implementations, addressing challenges in smart contracts, data storage optimization, and supply chain management. Key research areas include privacy-preserving blockchain architectures, decentralized identity systems, and edge computing integration. She has contributed to frameworks like the 'Reference Architecture for Blockchain-based Social Good Applications' and developed protocols such as nPPoS for blockchain storage efficiency. Her work on cryptocurrency mining strategies and quantum-resilient IoT protocols showcases her interdisciplinary approach. Recent publications highlight her focus on mitigating cybersecurity threats in software supply chains and optimizing energy consumption in blockchain networks. Collaborations with experts in computer science and engineering underscore her role in advancing real-world applications of distributed ledger technologies.

Arnaldo Camuffoمشاهده پروفایل

استاد

• Strategic Decision-Making
• Entrepreneurship
• Lean Management
• +۳ مورد دیگر

Arnaldo Camuffo is a Full Professor of Management at Bocconi University's Department of Management & Technology. He serves as Co-Director of the ION Management Science Lab at the SDA-Bocconi School of Management and has held visiting positions at MIT's Industrial Performance Center and the University of Michigan, Dearborn. His educational background includes a Master of Science (SM) from MIT Sloan School of Management (1989) and a PhD from the University of Venice (1990). Camuffo's research focuses on strategic decision-making processes in entrepreneurial contexts, lean management systems, and modularity in product and organizational design. He also explores strategic human capital dynamics and interorganizational relationships, particularly in manufacturing industries. His work emphasizes evidence-based methodologies, including randomized control trials (RCTs), to validate management practices and entrepreneurial strategies. In 2023, his co-authored paper 'Curbing the Addition Bias: Scientific Approaches and Propensity to Subtract in Entrepreneurial Ideas Development' received the Best Empirical Paper Award from the Entrepreneurship Division at the Academy of Management Conference. This reflects his commitment to empirical research in entrepreneurship and strategic management. Teaching: 30211 LEAN MANAGEMENT 41017 STRATEGIC HUMAN RESOURCE MANAGEMENT & HUMAN CAPITAL 20869 STRATEGIC DECISION MAKING Camuffo has contributed to editorial boards of leading management journals and actively participates in scholarly community roles. His research datasets from RCTs 1-4 on entrepreneurial decision-making are publicly available for academic use.

• Sustainability
• Multisensory Design
• Performance-Based Architecture
• +۳ مورد دیگر

Dr. Pantea Alambeigi is a Senior Lecturer in Architecture at Swinburne University of Technology's School of Design and Architecture. She specializes in sustainability, multisensory design, and performance-based architecture, focusing on the interplay between human perception and the built environment through acoustics and daylighting. Her research integrates computational tools and data-driven methodologies to enhance architectural design strategies. Her interdisciplinary work explores 'Seamless Architecture' by combining emerging technologies with environmental factors and human behavior. She teaches undergraduate and graduate courses in design studios, construction, and sustainability, and supervises PhD candidates on topics like multisensory stimuli in indoor spaces and digital tools for BIM workflows. Alambeigi has secured grants including the ARC Training Centre for Next-Gen Architectural Manufacturing (2024–2029) and a National Association of Steel-framed Housing contract on sustainable design. Her work has been recognized with the Best Paper Award at the 2016 CAADRIA conference. Key research outputs include studies on acoustic shadows, wind-induced noise in drywall systems, and virtual soundscapes of the Sagrada Família Basilica. Her contributions span architectural acoustics, data visualization, and biomimicry in engineering, reflecting her commitment to human-centric design innovation.

Ning Baoمشاهده پروفایل

استادیار

• High Energy Physics
• Quantum Information Science
• Quantum Algorithms
• +۴ مورد دیگر

Ning Bao is an Assistant Professor in the Departments of Physics and Mathematics at Northeastern University's College of Science. His research bridges high energy theory and quantum information science, focusing on topics such as holographic correspondences, quantum entanglement classification, and quantum algorithm development. He explores the interplay between quantum information principles and fundamental physics concepts like black hole thermodynamics and spacetime geometry. His work often involves cutting-edge techniques from machine learning and applied mathematics to address questions in quantum gravity and condensed matter systems. Key research interests include the information-theoretic properties of black holes, entanglement structure in holographic systems, and the application of quantum information tools to machine learning. He contributes to foundational studies in quantum error correction, entanglement wedge reconstruction, and the ER=EPR conjecture. His articles span topics from AdS/CFT correspondence to quantum cellular automata, reflecting his interdisciplinary approach to theoretical physics. Bao’s research is supported by contributions to holographic entropy inequalities, tensor network models, and the exploration of quantum algorithms through frameworks like classical shadows and reinforcement learning. His work has advanced understanding of entanglement in gauge theories, quantum complexity measures, and the interplay between geometry and quantum information in gravitational systems.

Gunar Schirnerمشاهده پروفایل

دانشیار

• Embedded Systems
• Cyber-Physical Systems
• Hardware/Software Co-Design
• +۴ مورد دیگر

Gunar Schirner is an Associate Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering . He holds a Ph.D. and M.S. from the University of California, Irvine, and a B.Sc. from Berufsakademie Berlin. His research focuses on embedded systems, cyber-physical systems, and hardware/software co-design, with emphasis on embedded vision and system-level methodologies. Education: Ph.D. & M.S. in Electrical and Computer Engineering, University of California, Irvine (2008, 2005) Bachelor's in Computer Engineering, Berufsakademie Berlin, Germany (1998) Research Interests: Embedded system modeling, real-time AI on edge devices, accelerator-rich computing architectures, and assistive robotics. His work bridges algorithm design with system-level implementation, including projects on neural-controlled prosthetics and marine mammal monitoring via passive acoustic sensing. Grants & Collaborations: Schirner leads/navigate grants totaling over $2M from the National Science Foundation (NSF), U.S. Army, and Office of Naval Research, including a $13M Army contract for distributed sensing research. He co-directs the Embedded Systems Laboratory , advancing heterogeneous platform design and embedded vision systems. Students & Impact: His advisees, including Mo Han and Yagmur Gunay, have won best paper awards at PETRA 2019. He actively integrates industry experience (e.g., Alcatel-Lucent) into teaching, mentoring students in both academia and industry.

Frank Leymannمشاهده پروفایل

استاد

• Software Architecture
• Pattern Languages
• Service-Oriented Computing
• +۸ مورد دیگر

Frank Leymann is a Professor of Computer Science at the University of Stuttgart, where he serves as Director and Founder of the Institute of Architecture of Application Systems. His career spans academia and industry, including 20 years at IBM Germany as a Software Architect. Research Focus: Workflow Management, Service Computing, Cloud Computing, Quantum Computing, Pattern Languages, Digital Humanities. Standards: Co-author of BPEL, BPMN, WS-RF, TOSCA, Human Task specifications. His work on quantum computing emphasizes hybrid quantum-classical applications and practical integration challenges. He pioneered the OASIS cloud standard TOSCA and developed the open-source OpenTOSCA platform, which has over 1,000 downloads. Scientific awards include an Honorary Doctorate from the University of Crete (2015), IBM Distinguished Engineer (2000), and IBM Academy of Technology membership (1996). Google Scholar cites his work over 43,300 times (H-Index 89), ranking him among the world's top computer scientists.

Stefan Taiمشاهده پروفایل

استاد

• Distributed Systems
• Decentralized Architectures
• Data Management
• +۶ مورد دیگر

Prof. Stefan Tai is a full professor and Chair of Information Systems Engineering at Technische Universität Berlin (Germany) since 2014. Previously, he held a full professorship at Karlsruhe Institute of Technology (KIT) and worked as a Research Staff Member at IBM's Thomas J. Watson Research Center. His research focuses on distributed systems, decentralized architectures, cloud service engineering, and privacy-preserving blockchain systems, emphasizing off-chain solutions and scalable technologies. Tai's work bridges academic research with industry applications, particularly in serverless computing, energy-efficient cloud-native systems, and blockchain-based solutions for supply chains and energy grids. He has authored numerous peer-reviewed publications in top-tier conferences and journals, including IEEE ICSA, Future Generation Computer Systems, and IEEE Blockchain. His contributions address challenges in software systems engineering, federated learning, and sustainable computing. Research Interests: Next-generation distributed software systems Decentralized architectures and blockchain systems Cloud and serverless computing Energy-efficient design Data management and privacy-preserving technologies Smart energy grids and IoT integration Key Publications Trends: Tai's recent work explores the intersection of blockchain and federated learning, serverless architectures for big data, and energy-efficient cloud-native applications. His 2025 paper introduced a framework for optimizing cloud-native energy efficiency, while 2024 contributions advanced verifiable decentralized systems and serverless data processing. Earlier research (2020–2021) focused on privacy in local energy grids and serverless computing scalability. Grants & Labs: While specific grants are not detailed, his leadership in TU Berlin's Information Systems Engineering group indicates involvement in EU-funded or industrial projects. Collaborations with institutions like TU Wien and KIT suggest multi-institutional efforts in distributed systems and blockchain. Labs/Teams: Leads the Information Systems Engineering research group at TU Berlin, focusing on software systems engineering, cloud architectures, and blockchain applications.

Akanksha Sainiمشاهده پروفایل

مدرس

• Cybersecurity
• Health Informatics
• Distributed Computing
• +۴ مورد دیگر

Dr. Akanksha Saini is a Lecturer at RMIT University's School of Accounting, Information Systems, and Supply Chain. Her research focuses on cybersecurity, distributed systems, health informatics, and blockchain applications in healthcare. She holds an ORCID identifier (0000-0002-7191-2854) and is open to supervising Masters and PhD students in cyber security and related fields. Research Interests: Cybersecurity and Privacy Blockchain Technology in Healthcare Artificial Intelligence Applications Quantum Computation Supply Chain Management Health Informatics Systems Key Contributions: Pioneering work on securing distributed networks for IoT intrusion detection Developed blockchain-based frameworks for medical data sharing and access control Established collaborations with industry and international researchers Publications Highlight: Recent articles (2021–2025) emphasize blockchain applications in healthcare, federated learning, and cybersecurity challenges in the GenAI era. Over 30+ peer-reviewed papers in journals like Journal of Information Security and Applications and IEEE Internet of Things Journal . Supervision and Collaboration: Available to supervise research in cyber security and AI Industry partnerships align with national research priorities Co-authored papers with global collaborators in cryptography and health informatics Labs and Teams: Engaged in interdisciplinary projects at RMIT's School of Accounting, Information Systems, and Supply Chain, with a focus on real-world industry applications.

Masih Fadakiمشاهده پروفایل

مدرس ارشد

• Supply Chain Analytics
• Approximate Dynamic Programming
• Applied Operations Research
• +۳ مورد دیگر

Dr. Masih Fadaki is a Senior Lecturer in the Accounting, Info Sys & Supply Chain Department at RMIT University's City Campus, Australia. He holds a Bachelor of Engineering (First-Class Honours), an MBA in Operations Management, and a PhD in Supply Chain Management. With nearly 20 years of industry experience in analytics, supply chain, and procurement roles, Dr. Fadaki has published in top-tier journals such as Decision Sciences and International Journal of Production Economics . His research focuses on Approximate Dynamic Programming, Supply Chain Analytics, and Stochastic Programming. He has received multiple teaching awards from RMIT and the University of Melbourne, as well as the School Research Award. Education: Bachelor of Engineering with First-Class Honours MBA in Operations Management PhD in Supply Chain Management Research Interests: Approximate Dynamic Programming Supply Chain Analytics Reinforced Learning Stochastic Programming Equitable Allocation Policies Disruption Risk Management Teaching Interests: Covers Supply Chain Management, Operations Research, Big Data Analytics, and Strategic Procurement. He supervises research on humanitarian supply chains, data breach behaviors, and stochastic optimization models. Awards: RMIT University Teaching Awards University of Melbourne Teaching Awards School Research Award Committee Involvement: Served on the School Research Committee at RMIT University since July 2021.

Jonathan Greenacreمشاهده پروفایل

استادیار

• Fintech
• Law and Technology
• New Institutional Economics
• +۴ مورد دیگر

Jonathan Greenacre is an Assistant Professor of Global Development Policy at Boston University’s Frederick S. Pardee School of Global Studies and an affiliated faculty member of the Boston University Institute for Global Sustainability (IGS). His research focuses on the intersection of institutions, economic development, and technology, with expertise in Fintech, Law and Technology, New Institutional Economics, and Regulatory Theory. He analyzes innovative financial systems in developing regions, such as mobile money in Kenya, tractor-sharing apps in Nigeria, and micro-solar energy in Rwanda. Greenacre holds a PhD in Law from Oxford University, an MS in Law and Finance (Oxford), an LLB from the University of New South Wales, and a BA in History and Politics from the University of Sydney. Prior to academia, he practiced commercial law and advised international organizations like the UN, IMF, and World Bank on legal and regulatory issues. His recent publications emphasize regulatory challenges in digital financial services, mobile money systemic risk, and interoperability in East African markets. Key themes include functional regulation approaches, liquidity management, and institutional resilience in Fintech ecosystems. Greenacre’s work bridges legal frameworks, economic policy, and technological innovation, particularly in Africa and the Pacific. He advocates for adaptive regulatory systems to support inclusive financial growth in developing economies.

• Sustainable Urban Development
• Construction Waste Management
• Offsite Construction (OSC)
• +۳ مورد دیگر

Jorge Ochoa Paniagua is a Senior Lecturer at UniSA STEM , University of South Australia, with a focus on sustainable construction practices and urban development. His work spans institutions like the Sustainable Infrastructure and Resource Management (SIRM) group and Australian Research Centre for Interactive and Virtual Environments (IVE) . Research Interests : Sustainable Urban Development, Offsite Construction (OSC), Construction Waste Management, Building Information Modeling (BIM), Circular Economy in Construction Awards : No specific awards mentioned in provided data Recent publications analyze information sharing barriers in OSC, design decision optimization for waste minimization, and quality assurance systems for demolition waste. His work emphasizes stakeholder integration, technical frameworks like ISM/MICMAC, and computational tools for sustainable outcomes.

Michael Devetsikiotisمشاهده پروفایل

استاد

• Telecommunication Networks
• Smart Grid Communications
• Cyber-Physical Systems
• +۵ مورد دیگر

Michael Devetsikiotis is a Professor and Chair of the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), part of the School of Engineering. He holds a Ph.D. from North Carolina State University (1993). His career includes roles as an Assistant/Associate Professor at Carleton University (1996–1998), Associate/Professor at North Carolina State (2000–2016), and leadership in UNM's ECE Department since 2016. He specializes in telecommunication networks, smart grids, IoT, and quantum information science. Education: Ph.D. in Electrical Engineering, North Carolina State University, 1993 M.S. in Electrical Engineering, North Carolina State University, 1990 Dipl. Ing. in Electrical Engineering, Aristotle University of Thessaloniki, Greece, 1988 Research Interests: Focuses on network design, smart grid communications, cyber-physical systems, and quantum technologies. He has published over 180 refereed papers and secured funding from NSF, NSERC, Cisco, and IBM. Notable projects include leading UNM’s Quantum Information Science program and managing the $20M NSF EPSCoR “SMART” Grid initiative. Articles Trends: Recent work emphasizes AI-driven network management (e.g., LSTM models for 5G/6G), blockchain for secure IoT/satellite systems, and quantum computing. Earlier contributions addressed EV charging infrastructure and smart grid resilience. Scientific Awards: IEEE Fellow (2012) NC State ECE Alumni Hall of Fame (2017) Advising & Grants: Directed UNM’s NSF Quantum Computing Faculty Fellowship (2020), enabling hires in quantum engineering. Previously managed a 800-student ECE graduate program at NC State. Active in IEEE leadership roles, including Distinguished Lecturer (2008–2011) and Chair of flagship conference committees. Labs & Teams: Spearheaded UNM’s IBM Q-Hub affiliation (2020), advancing quantum research collaboration. Leads interdisciplinary teams for smart city defense, blockchain energy markets, and 6G network automation.

Zsofia Krausslمشاهده پروفایل

مدرس ارشد

• Digital Transformation in Finance
• Innovation in Finance
• Data as an Emerging Asset Class
• +۳ مورد دیگر

Dr. Zsofia Kraussl is a Senior Lecturer in Finance and Technology at Bayes Business School (formerly Cass) at City, University of London. She holds a PhD in Information Systems Management from the Free University Amsterdam (2011). Her research focuses on digital transformation in finance, valuation fundamentals, and socio-economic impacts of data as an asset class, with empirical work on marketplace lending and digitization effects. She also investigates higher education curriculum design and performance metrics, having developed an MSc program in Digital Transformation in Finance at the University of Luxembourg. Additionally, she is a visiting scholar at UC Berkeley’s Center for Studies in Higher Education (CSHE). Education: PhD in Information Systems Management, Free University Amsterdam (2011) Her research interests span innovation in finance, digital infrastructure for sustainability, and blockchain applications like tokenization of sukuk. She actively contributes to interdisciplinary studies at the intersection of finance, technology, and education. Recent work includes AI-driven market regime forecasting and differential privacy in smart contracts. Advising and grants focus on curriculum development and digital finance initiatives. Her work often involves collaborations across academic disciplines and industry partners to address emerging trends in financial technology and educational policy. Labs/teams: Collaborates with the CSHE at UC Berkeley and leads interdisciplinary projects at Bayes Business School focusing on digital finance innovation and higher education frameworks.

Nitin Bakshiمشاهده پروفایل

استاد

• Supply Chain Management
• Operations Research
• Risk Management
• +۴ مورد دیگر

Nitin Bakshi is the Chair and Professor in the Department of Operations and Information Systems at the David Eccles School of Business, University of Utah. His research focuses on supply chain resilience, disruption management, counterterrorism logistics, and operational risk mitigation. He holds the David Eccles Faculty Fellow title, indicating institutional recognition for scholarly contributions. His work bridges theoretical frameworks with real-world applications in areas like network analysis, social learning dynamics, and strategic contract design. Notably, his research addresses critical challenges in infrastructure resilience, supply chain optimization, and security operations. Key themes across his publications include: Designing strategies to mitigate cascading failures in complex systems Optimizing public and private investments in security and inspection processes Modeling adversarial interactions in counterterrorism contexts Developing contracts and mechanisms to enhance supply chain reliability His recent studies emphasize data-driven approaches for service operations and justice systems, reflecting an expanding focus on societal applications of operations research.