جست‌وجوی استاد و پژوهشگر

• Financial Crime
• Cybercrime
• Economic Crime
• +۱۱ مورد دیگر

Paul Gilmour is a Senior Lecturer at the School of Criminology and Criminal Justice , Faculty of Humanities & Social Sciences, University of Portsmouth, and a key member of the Centre for Cybercrime and Economic Crime. His research focuses on financial crime, anti-money laundering, beneficial ownership transparency, corporate security, and the criminological implications of emerging technologies like blockchain and the metaverse. His research interests include: Financial and economic crime Beneficial ownership and corporate transparency Anti-money laundering (AML) frameworks Fraud prevention and detection Blockchain, cryptocurrency, and smart contracts Metaverse and decentralized finance (DeFi) Corporate security and industrial espionage Greenwashing and corporate accountability His recent publications span from 2020 to 2025 and appear in leading journals such as Journal of Financial Crime , Journal of Money Laundering Control , Technological Forecasting and Social Change , and Law, Innovation and Technology . His work often explores regulatory challenges, enforcement mechanisms, and policy solutions in the context of digital and financial crime. He has contributed editorials, book chapters, and commissioned reports, including a scoping study on fraud centres in Ghana, India, and Nigeria. Scientific Awards and Recognition: Recipient of 3 prizes for research excellence Work referenced on Wikipedia and featured in 14+ news outlets Regular contributor to The Conversation ORCID: 0000-0002-6380-8563 Advising and Grants: Paul Gilmour is accepting PhD students and has supervised research in economic crime and cybercrime. He has led and participated in multiple research projects, including those funded by external bodies, focusing on fraud prevention, policing financial crime, and regulatory compliance. His collaborative work with scholars such as Mark Button and Branislav Hock underscores his active role in interdisciplinary research networks. Labs and Research Groups: He is affiliated with the Centre for Cybercrime and Economic Crime at the University of Portsmouth, which conducts cutting-edge research on digital and financial crime, policy development, and law enforcement strategies.

Christopher A. Moutonمشاهده پروفایل

استاد

• Technological Innovation
• Public Policy
• Artificial Intelligence
• +۷ مورد دیگر

Christopher A. Mouton is a Senior Engineer at the RAND Corporation and Professor at the RAND School of Public Policy. His work focuses on technological innovation, public policy, and national security, particularly in areas like artificial intelligence (AI), information operations, aeronautics, and defense economics. He leads research to enhance special operations forces' effectiveness and counter foreign malign information campaigns. Education: Ph.D. in Aeronautics from California Institute of Technology Research Interests: AI applications in national security Cost-effectiveness analysis of defense investments Countering information warfare Biological weapon risk mitigation Military strategy and technology prioritization Key Contributions: Pioneer in detecting foreign information operations using AI Developed methodologies for defense technology prioritization Authored studies on AI's role in biological weapon risks Grants/Advising: Extensive Department of Defense-funded research Collaborations with U.S. Air Force and international partners Labs/Teams: Leads a multidisciplinary team at RAND focused on SOF operational effectiveness Part of AI and National Security Policy working groups

• GIS Applications
• E-Learning Systems
• Mining Safety
• +۳ مورد دیگر

Dr. Lupu-Dima Lucian is an Associate Professor at the University of Petrosani's Faculty of Mining, Department of Mining Engineering, Surveying and Construction. His research focuses on GIS applications in risk management, educational technology, and mining safety. He has extensively studied e-learning systems during the pandemic and institutional reforms in higher education. Education: Ph.D. in relevant fields (university unspecified). His work integrates geospatial technologies with public health, disaster management, and organizational strategies. Over 20 years of academic contributions include pioneering studies on flood risk modeling, ERP systems in mining, and innovative training methods for workforce requalification. Research emphasizes interdisciplinary solutions for complex challenges: GIS-based disaster preparedness frameworks Educational resilience during crises Management systems for mining safety Articles highlight trends in: Hybrid educational models Geospatial policy applications Public administration efficiency Recent work explores post-pandemic educational systems and mining sector innovations. Labs/Teams: Involved in development of e-learning platforms at University of Petrosani and GIS-based solutions for Hunedoara County administration.

Florian Steinkeمشاهده پروفایل

استاد

• Energy Management Systems
• Machine Learning Applications in Energy
• Distributed Control Systems
• +۵ مورد دیگر

Prof. Dr. Florian Steinke is a Professor and Head of the Energy Information Networks and Systems Department at Technische Universität Darmstadt. His academic career spans roles at Siemens Corporate Technology (2009–2016) and a PhD in machine learning at the Max Planck Institute for Intelligent Systems (2006–2008). His research focuses on algorithmic energy management, distributed control systems, machine learning applications in energy grids, and resilient smart grid design. Education: PhD in Machine Learning (Max Planck Institute for Intelligent Systems, 2006–2008) Diplom in Computational Physics (University of Tübingen & University of Washington, 1999–2005) Research Interests: Development of cyber-physical systems for energy grids Optimization of thermal-electric systems using game theory and stochastic control Integration of social media data for demand forecasting Cybersecurity measures against adversarial attacks on grids Recent work emphasizes probabilistic grid modeling, resilient energy market design, and AI-driven control strategies for Fourth Generation district heating grids. His platform ecosystem research aims to support the energy transition through data-driven solutions. Labs/Teams: Leads the Energy Information Networks and Systems research group, focusing on interdisciplinary projects combining automation, data science, and energy systems engineering.

• Cybersecurity Awareness
• Security and Usability Alignment
• Requirements Engineering
• +۹ مورد دیگر

Maria Pinto-Albuquerque is an Assistant Professor at Iscte - University Institute of Lisbon, affiliated with the Department of Information Science and Technology (ISTA) and ISTAR-Iscte Research Center. Her work bridges software engineering, cybersecurity, and human-centered computing, with a strong focus on security awareness and education. PhD in Computer Science, University of Lancaster, UK Master’s in Computer Science, Faculty of Sciences, University of Lisbon Bachelor’s in Applied Mathematics and Computing, Instituto Superior Técnico Her research explores the intersection between people and computer systems, particularly in cybersecurity awareness , security-usability alignment , and requirements engineering . She develops tools such as serious games and interactive platforms to improve secure system development practices among engineers and stakeholders. Her recent publications (2021–2024) highlight a consistent focus on cloud security training , secure coding education , and the use of gamification—including board games and digital challenges—to raise awareness in industry settings. Topics like AI-generated code (e.g., ChatGPT), low-code vulnerabilities, and hybrid work security are also emerging in her recent work. UK National Innovation in Cyber Award 2020 (for 'Decisions and Disruptions' game) Member of IEEE, British Computer Society, Iscte Alumni, Lancaster University Alumni Maria actively collaborates with international institutions such as the University of Bristol (UK), UniBW Munich (Germany), and Siemens Technology. She contributes to curriculum development and workforce training in secure software engineering, advising on pedagogical strategies and conducting industry-focused research. Her work includes designing and assessing cybersecurity challenges and automated training platforms. She leads and contributes to research in cybersecurity games, developer awareness, and secure cloud deployments, often in collaboration with teams across Europe. Her lab-based and field research integrates human factors into technical security solutions.

Ashraf Tantawyمشاهده پروفایل

مدرس ارشد

• Cyber Physical Systems
• Artificial Intelligence
• Cyber Security
• +۷ مورد دیگر

Dr. Ashraf Tantawy is a Senior Lecturer in the School of Computer Science and Informatics at De Montfort University (DMU), UK. He holds a PhD and MSc in Electrical Engineering from Vanderbilt University, USA, and has previously served as an Assistant Professor at Virginia Commonwealth University (VCU). His industrial experience includes roles at British Petroleum, Qatar Gas, and Schneider Electric, focusing on embedded and safety-critical systems. He is affiliated with the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI) at DMU. Education: Ph.D. in Electrical Engineering, Vanderbilt University, USA M.Sc. in Electrical Engineering, Vanderbilt University, USA Engineering Management, University of Manchester, UK, 2015 Dr. Tantawy's research lies at the intersection of Cyber Physical Systems (CPS), Artificial Intelligence, Cyber Security, and Data Science. His work emphasizes the development of AI-driven methods for securing CPS, including reinforcement learning for autonomous systems, safety-security co-design, and decision-making under uncertainty. Application domains include autonomous vehicles, drones, smart cities, and industrial automation. He teaches courses such as Embedded Systems, Cyber Physical Systems, AI for Cyber Security, and Industrial Automation. His recent publications demonstrate a strong focus on model-based and data-driven approaches to CPS security, attacker modeling, intrusion detection, and risk assessment. The research spans both defensive and offensive security strategies, with increasing emphasis on machine learning and adaptive control in complex systems. Scientific Awards and Certifications: Safety Instrumented Systems (SIS) Expert, International Society of Automation (ISA), 2015 Dr. Tantawy has secured and contributed to multiple externally funded research grants totaling over $1.5 million. As Principal Investigator (PI) and Co-Investigator (CO-PI), he has worked on projects funded by NASA, Commonwealth Cyber Initiative (CCI), Virginia Catalyst, and Commonwealth Center for Advanced Manufacturing (CCAM). His research leadership includes projects on adversarial attack detection in connected vehicles, smart city testbeds, renewable energy systems, and smart manufacturing. He is an active member of the IEEE and ISA, contributing to both academic and industrial advancements in secure and dependable systems. He is involved with the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI) at DMU, contributing to interdisciplinary research in cyber security and intelligent systems. These labs support projects in AI-driven security, autonomous systems, and industrial IoT, fostering collaboration across academia and industry.

• Mechanical Engineering
• Manufacturing Engineering
• Finite Element Analysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Associate Professor at Swinburne University of Technology's School of Engineering, specializing in mechanical design, virtual/augmented reality (VR/AR), and electric vehicle (EV) technologies. His research focuses on product design, EV drivetrains, battery packaging, medical devices, and bushfire shelter design. He holds a PhD from Swinburne, a Master's from Queensland University of Technology, and a Bachelor's from the Indian Institute of Industrial Engineering. Research interests span finite element analysis, bio-mechanical modeling, and Industry 4.0 applications. Notable projects include Bombardier Tram development, therapeutic sleep systems, and smart manufacturing frameworks. He has supervised over 20 HDR students on topics ranging from predictive maintenance to extended reality in education. Awards include the Teaching Excellence Award (2016) and Premier's Design Awards for medical and safety innovations. He is a Fellow of the Institution of Engineers (Australia) and actively involved in professional bodies like SAE International. Grants funded projects on hydrogen generators, smart manufacturing systems, and graphene supercapacitors. His work bridges academia and industry through collaborations with firms like Bambach Wires and iMOVE Australia.

• Bio-inspired computing
• Cyber Security Analytics
• Machine Learning
• +۴ مورد دیگر

Dr Ahsan Ikram is a Senior Lecturer at the University of the West of England (UWE Bristol), affiliated with the Faculty of Environment and Technology's Department of Computer Science and Creative Technologies. His expertise spans cyber security, machine learning, and data analytics. Education: Ph.D., B.Sc. Qualifications: Fellow of the Higher Education Academy (FHEA) Research interests include: Bio-inspired algorithm development Cyber security analytics Machine learning for big data Micro facial expression detection Smart city data modeling Data provenance computation models Professional expertise covers cyber security, information risk management, programming, and user experience design. He has 12+ years of combined industrial, academic, and research experience, including a 2005 collaboration with CERN scientists.

Qingping Yangمشاهده پروفایل

دانشیار

• Measurement Systems
• Quality Engineering
• Smart Technologies
• +۵ مورد دیگر

Dr. Qingping Yang is a Reader (Associate Professor) in the Department of Mechanical and Aerospace Engineering at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. He directs the Brunel Quality Engineering and Smart Technology (QUEST) and Robotics and Automation Research Groups, focusing on sensor systems, AI, and industrial metrology. Education: PhD in Engineering, Brunel University London (1992) BEng in Instrumentation and Measurement Technology, Chengdu Aeronautical Polytechnic (1983) Research Interests: Dr. Yang integrates measurement systems, quality engineering, and smart technologies (AI/robotics). His work spans industrial metrology, IoT-driven manufacturing optimization, renewable energy forecasting, medical diagnostics, and autonomous inspection systems. Key methodologies include machine learning, Bayesian risk modeling, and non-destructive evaluation. Publication Trends: Recent articles emphasize AI applications in manufacturing (defect detection, robotic path planning), IoT-based monitoring (3D printing, building safety), and healthcare analytics (COVID-19 diagnosis). Methodological innovations include graph theory optimization, computer vision, and ontology-driven quality frameworks. Awards: Three Brunel University Performance Bonuses Marquis Who's Who in the World (1998) Marquis Who's Who in Science and Engineering (2000) Advising & Grants: Supervised 39+ PhD/MPhil students (23 as primary supervisor). Secured £2.7M as PI and £1.2M as Co-I across 18 projects (EU/UK industry/government-funded). Current PhD projects include AI for non-destructive testing and sustainable manufacturing. Leadership: Heads QUEST and Robotics research groups. Former EU research coordinator and MSc program director. Editor-in-Chief of the International Journal of Metrology and Quality Engineering .

Lisa Finkelsteinمشاهده پروفایل

استاد

• Age and generation issues in the workplace
• Stigma in the workplace
• Mentoring relationships
• +۶ مورد دیگر

Lisa Finkelstein serves as a Professor in the Department of Psychology at Northern Illinois University, specializing in Social and Industrial/Organizational Psychology. Her research program investigates critical workplace dynamics including age-based discrimination, generational interactions, and organizational interventions for inclusive workplaces. With over 30 years of scholarly contributions since her 1996 Tulane University doctorate, she maintains active research leadership through the FinkLab while teaching core courses in social psychology and organizational behavior. Education Ph.D. in Psychology, Tulane University (1996) Professor Finkelstein's research centers on metastereotypes, age discrimination mechanisms, and mentoring effectiveness in multigenerational workplaces. She examines how implicit biases affect employment decisions, how humor functions as both coping mechanism and potential aggression vector, and the complex interplay between high-potential designation and leadership success. Her work bridges theoretical social psychology with practical organizational applications, particularly regarding cyber incivility impacts on older workers and Dark Tetrad personality influences on abusive supervision responses. Analysis of her 2020-2025 publications reveals intensifying focus on intersectional discrimination frameworks, with growing emphasis on pandemic-exacerbated age biases and methodological innovations for measuring implicit metastereotypes. Recent work demonstrates sophisticated integration of daily diary methodologies with traditional experimental designs, while maintaining consistent attention to practical HR implications through resources like her 2021 "Ageless Talent" framework for age-diverse workforce optimization. Scientific Awards No specific awards were documented in available materials Professor Finkelstein's mentoring scholarship directly informs her teaching of PSYC 617 (Individual Assessment) and PSYC 619 (Organizational Development), where she translates research on mentor-protégé efficacy crossover into classroom practice. Her extensive publication record in top journals like Personnel Psychology and Work, Aging and Retirement demonstrates sustained research productivity without mention of major external grants in available materials. She maintains active scholarly engagement through the Society for Industrial and Organizational Psychology (SIOP), contributing to special issues on generational workplace dynamics. She directs the FinkLab, which serves as the operational hub for her metastereotype research program. The lab employs mixed-methods approaches to investigate age-based workplace interactions, with particular focus on developing measurement tools like the word fragment completion task for metastereotype activation. Current lab activities appear centered on pandemic-era workplace adaptations and the Dark Tetrad's impact on abusive supervision responses.

• Cybersecurity
• Artificial Intelligence
• Blockchain Technology
• +۴ مورد دیگر

Dr. Shun-Wen Hsiao is an Associate Professor in the Department of Management Information Systems at National Chengchi University (NCCU), Taiwan. He earned his PhD in Information Management from National Taiwan University and has been with NCCU since 2017, first as an Assistant Professor before his promotion to Associate Professor in 2023. His research spans: Cybersecurity : Malware analysis, threat detection, IoT security, and blockchain applications Artificial Intelligence : Neural networks for security, NLP, and recommendation systems FinTech : Blockchain frameworks, secure voting systems, and P2P lending risk models E-commerce : Livestreaming recommendation algorithms and consumer behavior analysis He has received multiple awards including: National Science Council Research Award (2023) Three consecutive Outstanding Team awards for Information Security R&D (2016-2018) Research grants from Taiwan's Ministry of Science and Technology Dr. Hsiao leads several major research projects funded by Taiwan's National Science and Technology Council, focusing on explainable AI for cybersecurity, financial technology security, and big data analytics platforms. His work frequently appears in top IEEE transactions and cybersecurity conferences.

Harald Gjermundrodمشاهده پروفایل

استاد

• Distributed Computing Systems
• Computer Security
• Cyber Security
• +۵ مورد دیگر

Harald Gjermundrod is a Professor of Computer Science in the Department of Computer Science at the University of Nicosia's School of Sciences and Engineering, where he has served since September 2008. Previously, he was a Post-Doctorate Associate (2006-2008) at the High-Performance Computing Systems Laboratory, University of Cyprus. Education: PhD in Computer Science, Washington State University (2006) MS in Computer Science, Washington State University (2001) BS in Computer Science, Washington State University (1999) Dipl.-Ing, Oslo Metropolitan University (1998) His research spans Distributed Computing Systems , Computer Security , Blockchain Technology , and Data Protection , with emphasis on practical implementations like GridStat middleware for power grids and privacyTracker for GDPR compliance. As co-director of the Informatics Security Laboratory, he leads research on active defense mechanisms and data protection frameworks. His 87+ publications since 2001 show evolving focus from grid computing (2006-2010) to blockchain applications (2016-present), with recent work emphasizing privacy engineering, secure e-voting, and AI-driven security analytics. Key trends include transitioning from infrastructure-focused research (GridStat, ICGrid) to policy-compliant systems (privacyTracker, HoneyCY). Scientific Recognition: Senior Member of ACM Eclipse Committer Status (Alumni) Chair of ACM Cyprus Chapter (2015-2018) He has secured funding from EU programs, US National Science Foundation, and National Institute of Technology, developing software products including GridStat (critical infrastructure middleware), ICGrid (medical data sharing), and ReProTool (Bologna Process compliance). His supervision has produced student-developed prototypes like NoteLocker and HoneyCY. Current projects include privacyTracker (GDPR compliance) and SmartTeV (blockchain voting). As co-director of the Informatics Security Laboratory, he oversees research on active defense systems, honeypot frameworks (HoneyCY), and verifiable data traceability, with applications in e-government and healthcare security.

• Innovation Management
• Technology Management
• Production Management
• +۵ مورد دیگر

Prof. Dr. Christian Mieke is a Professor of Business Administration specializing in Innovation Management at the Department of Economics of the Brandenburg University of Technology (BTU) in Brandenburg an der Havel, Germany. He has held this position since 2010, following his habilitation at the Brandenburg University of Technology Cottbus in 2009. His office is located in Building A (Business and Economics Center), Room A.2.33 at Magdeburger Straße 50, and he can be contacted at christian.mieke@th-brandenburg.de. Prior to his current position, he served as a Professor at Provadis School of International Management & Technology Frankfurt am Main (2009-2010) and held parallel positions as a Privatdozent at BTU Cottbus (2009-2014) and Guest Professor at Alpen-Adria-University Klagenfurt (2013-2014). Prof. Mieke's educational background includes: Habilitation in Innovation Management at BTU Cottbus (2009) Doctorate in Early Technology Detection at BTU Cottbus (2005) Studies in Industrial Engineering at Technical University of Ilmenau and Technical University of Crete (1996-2001) His research focuses on Innovation Management, Technology Management, Production Management, and Logistics, with particular emphasis on strategic planning of innovation processes, technology roadmapping, and integration of innovation management within production systems. He has developed methodologies for scenario-based process portfolios and technology roadmapping, with recent work increasingly addressing the strategic aspects of factory planning and production networks in the context of Industry 4.0. His publication record demonstrates consistent scholarly output with a notable trend toward developing practical methodological handbooks that translate complex theoretical concepts into actionable business practices. His recent work shows increasing attention to strategic factory planning, management of production networks, and integration of innovation processes within organizational structures, particularly relevant to the digital transformation of production systems. Prof. Mieke teaches courses in Supply Chain Management, Technology and Innovation Management, Production and Materials Management, Value Creation Management, and Technology Management. His teaching responsibilities align closely with his research interests, emphasizing the practical application of theoretical concepts in business administration, particularly in innovation, technology, and production management.

• Cybersecurity
• Genocide Prevention
• International Humanitarian Law
• +۳ مورد دیگر

Rhiannon Neilsen is an Assistant Professor at the Marxe School of Public and International Affairs at Baruch College, where she teaches Public Affairs. Her research bridges cybersecurity , genocide prevention , and international ethics , with a focus on digital interventions for atrocity crimes. She holds a PhD in International Relations from the University of New South Wales, an M.Phil. in Politics, and a B.A. in International Relations and German. Education: Ph.D., International Relations, University of New South Wales (2021) M.Phil., Politics, University of New South Wales (2017) B.A., International Relations & German, University of Queensland (2015) Neilsen’s work investigates "cyber manipulation operations" for atrocity prevention, AI ethics in geopolitical contexts, and the Responsibility to Protect (R2P) framework. She has published extensively on digital deterrence strategies, including peer-reviewed articles in Defense Studies , Global Responsibility to Protect , and International Affairs , with a forthcoming book on cyber humanitarian interventions. Scientific Awards: Abraham J. Briloff Ethics Prize (2025) Young Women to Watch in International Affairs (2025) Ria De Groot Prize (2021) Dean's Award for Outstanding PhD Thesis (2021) Leo Mahony Bursary Prize (2021) Frances V. Harbour Award (2021) She has served on the AI-Curriculum Committee since 2025 and acts as an officer in the International Association of Genocide Scholars (2024–present). Her research is supported by grants and she contributes as a reviewer for journals like Ethics & International Affairs and Global Responsibility to Protect .

Jan von der Assenمشاهده پروفایل

پژوهشگر

• Holistic Cybersecurity
• Threat and Asset Management
• Security Economics
• +۶ مورد دیگر

Jan von der Assen is a doctoral student at the Communication Systems Group (CSG) within the Department of Informatics at the University of Zurich . His research focuses on Holistic Cybersecurity , spanning Threat and Asset Management , Security Economics , and AI-powered Malware Mitigation . Education : MSc in Software Systems from University of Zurich (2021) Research Affiliations : Involved in 12+ national/EU projects (2021–2025) including CheeseChain , CONCORDIA , and DSI Cybersecurity . His work emphasizes Moving Target Defense (MTD) for IoT security, Decentralized Federated Learning with blockchain-based reputation systems, and Ransomware Detection using hypervisor-level system call monitoring. Recent publications include: GuardFS (JISA 2025) for Linux ransomware mitigation HyperDtct (IEEE CSR 2025) on hypervisor-based detection ThreatFinderAI (CNSM 2024) for LLM threat modeling