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Per LynggaardView profile

Professor

• Integrated Circuit Design
• Wireless Sensor Networks (WSN)
• Machine Learning
• +8 more

Per Lynggaard is a Professor of Electronics at the Technical University of Denmark (DTU) , leading the B.Eng. program in Electronics. Previously, he held an Associate Professor role at Aalborg University, combining academic excellence with a robust industrial career in technical-scientific research and development. Education: M.Sc. in Electrical Engineering and Information Technology (EE and IT) Ph.D. in Electronics from Aalborg University Research Interests: Focus on Integrated Circuit Design, Wireless Sensor Networks (WSN), Machine Learning, IoT, and Smart City Technologies . His work emphasizes energy-efficient systems, cybersecurity in IoT, AI-driven interference mitigation, and sustainable energy harvesting solutions. He has contributed to UN Sustainable Development Goals through projects addressing smart infrastructure and environmental monitoring. Projects & Collaborations: Leads and participates in EU-funded initiatives such as InnoTech (2023–2025) for green transition solutions and TransportTech (2023–2026) for Industry 4.0 logistics. Active in cybersecurity research via projects like Jamming Against Critical Wireless Communication , aiming to protect critical infrastructure. Awards: Recognized with multiple honors and rewards during his industrial career, though specific names are not listed. His work has been cited widely, with notable impact in IoT security and energy-efficient systems. Advising & Grants: Supervises Turnip T.N. in a PhD project on 6G security protocols. Engaged in securing funding for projects like F2D2: The Community for Dynamic Data (2021–2030), focusing on dynamic data systems and cybersecurity. Labs & Teams: Collaborates in interdisciplinary teams such as the InnoTech TaskForce and F2D2 Community , advancing IoT and AI integration. His research bridges academia and industry, with outputs spanning smart cities, healthcare IoT, and sustainable energy systems.

• Cybersecurity
• Data Security and Privacy
• Context-Aware Access Control
• +5 more

Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.

Duncan RobertsonView profile

Senior Lecturer

• Simulation
• Agent-Based Modelling
• Strategy Dynamics
• +3 more

Dr. Duncan Robertson is a Senior Lecturer in Management Sciences at Loughborough University and Coordinator for the MSc Business Analytics program. His research focuses on simulation, agent-based modeling, strategy dynamics, and pandemic policy analysis. Prior to academia, he worked as a Chartered Accountant at KPMG and held visiting roles at institutions like The Wharton School and London Business School. He is a Fellow and Trustee of St Catherine’s College, Oxford. Educations: BSc (University of London), MA & DPhil (University of Oxford), ARCS CSci CPhys MInstP FHEA FCA Professional Background: Former Chartered Accountant at KPMG, Advisory roles in banking sector Robertson’s research emphasizes pandemic response strategies, policy modeling, and the integration of foresight approaches in healthcare. His work on pandemic control models has informed government decisions during the COVID-19 crisis. Key contributions include analyzing the interaction between scientific models and policy implementation, as well as advocating for improved data infrastructure for future health crises. Notable Achievements: Recipient of the Companion of Operational Research Award (2024) Published extensively on pandemic policy, including seminal works on SAGE’s role in scientific dialogue and foresight methodologies Advisor to UK government bodies during the pandemic, with frequent media engagement on epidemiological strategies Advising & Grants: While specific grants are not detailed, his pandemic modeling research aligns with major public health initiatives. No formal advisees listed, but actively contributes to collaborative research networks like the Management Science and Operations Group at Loughborough. Labs/Teams: Leads research within Loughborough’s Management Science and Operations Group, focusing on agent-based simulation and policy impact analysis.

Paul WangView profile

Senior Lecturer

• Operations Management
• Supply Chain Management
• Inventory Control
• +7 more

Dr. Paul Wang is a Senior Lecturer of Operations Management and Management Science at Cardiff Business School, Cardiff University . He teaches graduate-level courses including BST514 - Operations Analysis (MBA) and BST124 - Logistics Modelling (MSc), focusing on quantitative decision-making in supply chains. His educational background includes a PhD in Dynamics of Nonlinear Supply Chain Systems from Beihang University, China (2013), an MAdmin and BAdmin in Business Administration. Prior to joining Cardiff, he served as a Lecturer in Logistics Management at Beijing Jiaotong University. Dr. Wang’s research centers on operations and supply chain dynamics , with a strong emphasis on inventory control, the bullwhip effect , stochastic lead times, and demand forecasting. His work integrates system dynamics and mathematical modeling to analyze complex behaviors in production and inventory systems. He has extensively studied food waste in online grocery supply chains and developed models to improve resilience and efficiency. His recent publications reveal a consistent focus on inventory variability , forecasting accuracy , and supply chain resilience , published in top journals such as European Journal of Operational Research , International Journal of Production Economics , and Omega . His research often involves collaboration with scholars like Stephen Disney, Fotios Petropoulos, and Valentina Sanchez Rodrigues. Chinese National Scholarship for Postgraduate Students (2012) Young Scientist Award, 21st International Conference on Production Research (2011) Dr. Wang has advised on industry projects such as the Ocado salads waste project , demonstrating applied impact. He has not listed any PhD students, but his work has contributed significantly to both academic theory and practical supply chain solutions.

Man Ho Allen AuView profile

Professor

• Applied Cryptography
• Information Security
• Blockchain Technology
• +2 more

Dr. Man Ho Allen Au is an honorary professor at the Department of Computer Science, University of Hong Kong (HKU), with a career spanning cutting-edge research in applied cryptography, information security, and blockchain technology. His work bridges theoretical innovation and industrial applications. BEng, MPhil from the Chinese University of Hong Kong (2003, 2005) PhD from University of Wollongong (2009) A former associate professor at Hong Kong Polytechnic University, Dr. Au’s research drives advancements in blockchain technology , applied cryptography , and privacy-preserving techniques , with deployments in Hyperledger Fabric and discussions by privacy-focused currencies like Monero. His publications in top venues (CRYPTO, IEEE S&P, CCS) focus on lattice-based cryptography , secure protocols , and privacy-enhancing technologies . These works have attracted over 25 million HKD in grants, including RGC GRF and ITF projects. 2021 : New Frontiers of Lattice-Based Cryptography (RGC GRF), Secure Computation over Encrypted Data (ITF Seed), Blockchain Platform for Data Sharing (ITF Platform) 2020 : Practical Post-Quantum Zero-Knowledge Proofs (RGC GRF), NSFC project on quantum-resistant schemes 2019–2017 : Blockchain for logistics, anti-counterfeit systems, and post-quantum signature constructions Awarded the 2009 PET runner-up for privacy research, Dr. Au contributes to standards via ISO/IEC JTC 1/SC 27 working group and the Hong Kong Blockchain Society.

Diana G. Ramirez-RiosView profile

Assistant Professor

• Disaster Response Logistics
• Urban Freight Transportation
• Supply Chain Optimization
• +3 more

Diana G. Ramirez-Rios is an Assistant Professor at the State University of New York at Buffalo, specializing in Industrial and Systems Engineering within the School of Engineering and Applied Sciences. She holds a Ph.D. in Transportation Engineering from Rensselaer Polytechnic Institute and a B.S./M.S. in Industrial Engineering. Her research focuses on disaster response logistics, urban freight transportation, and supply chain optimization, with an emphasis on policy-driven and empirical approaches. Education: Ph.D. in Transportation Engineering (Rensselaer Polytechnic Institute), B.S./M.S. in Industrial Engineering. Research interests include disaster logistics (e.g., post-disaster healthcare access, facility location models), urban freight systems (e.g., parking policies, emission reduction strategies), and game-theoretic models for supply chain collaboration. She has secured grants such as the NSF RAPID grant (2024) for studying interdependent infrastructure impacts in Puerto Rico and a Natural Hazards Center grant (2021) on healthcare accessibility in disaster zones. Scientific awards include the Karen and Lester Gerhardt Prize (2021), Thomas Archibald Price (2021), and scholarships from WTS International and INFORMS. Her work bridges theoretical models with practical policy solutions, addressing challenges like freight externalities and socially vulnerable communities' recovery needs. Her grants and advising contributions involve interdisciplinary collaborations, with a focus on sustainable urban logistics and humanitarian aid systems. She actively participates in professional councils, such as the INFORMS Sub-Divisions Council and POMS Regional Vice Presidency in the Americas.

• Transportation Modeling
• Applied Operations Research
• Sustainable Transportation
• +3 more

Jee Eun (Jamie) Kang is an Associate Professor in the Department of Industrial and Systems Engineering at the University at Buffalo, located within the School of Engineering and Applied Sciences. Her research focuses on transportation modeling, applied operations research, and sustainable mobility systems. She has contributed extensively to studies on autonomous vehicles, emergency evacuation planning, and electric vehicle infrastructure. Her work bridges theoretical optimization frameworks with real-world applications, addressing challenges in multi-modal travel environments, disaster logistics, and shared mobility systems. Dr. Kang's research often involves data-driven methodologies, leveraging automated fare collection systems and smart card transactions to infer user behavior and optimize transportation networks. Her publications span topics such as strategic parking location models for autonomous vehicles, pricing mechanisms in bike-sharing systems, and scenario-based analyses for battery electric vehicle feasibility. She actively advises students on projects related to urban mobility, evacuation planning, and transportation sustainability. Scientific Awards: None explicitly mentioned in the provided texts. Dr. Kang's advising and collaborative work include projects on household activity patterns, hydrogen refueling station optimization, and evacuation warning systems. Her research has been applied to real-world scenarios like the Nepal earthquake relief efforts and California's hydrogen infrastructure planning.

Rakesh NagiView profile

Professor

• Data Science & Analytics
• Machine Learning & AI
• Operations Management
• +7 more

Rakesh Nagi is a Professor and Head of the Engineering Systems and Design Pillar at Singapore University of Technology and Design (SUTD), where he joined in August 2023. He concurrently holds the Donald Biggar Willett Professorship at the University of Illinois, Urbana-Champaign (UIUC), on leave. His academic leadership includes serving as Department Head of Industrial and Enterprise Systems Engineering at UIUC (2013–2019) and as Interim Director of the Illinois Applied Research Institute (2016–2018). Previously, he was Chair of Industrial and Systems Engineering at the University at Buffalo (SUNY) from 2006 to 2012. Education: PhD (1991) and MS (1989) in Mechanical Engineering from the University of Maryland, College Park, with work at the Institute for Systems Research and INRIA, France. BE (1987) in Mechanical Engineering from the University of Roorkee (now IIT Roorkee), India. Research focuses on Data Science, Machine Learning, Operations Research, GPU-accelerated computing, and military applications. Key areas include Big Graphs, High-level Information Fusion, Production Systems, and Multi-Agent Systems. His work often leverages parallel computing and optimization techniques. Recipient of prestigious awards: IISE David F. Baker Award (2022), INFORMS Koopman Award (2021, 2018), and multiple DARPA Graph Challenge recognitions. Contributions span over 100 peer-reviewed articles in top journals (e.g., Operations Research, IEEE Transactions) and conferences. Research projects include Hybrid AI/ML-Optimization for cloud workflows, GPU-accelerated algorithms for multi-target tracking, and interventions against illicit supply chains. Active collaborations with IBM-Illinois and NSF-funded initiatives address strategic resource allocation and network analysis. Labs/Teams: Leads the Engineering Systems and Design Pillar at SUTD and coordinates interdisciplinary projects at UIUC’s Coordinated Science Laboratory.

Matthieu van der HeijdenView profile

Associate Professor

• Operations Research
• Supply Chain Management
• Inventory Management
• +7 more

Matthieu van der Heijden is an Associate Professor in the Department of Industrial Engineering & Business Information Systems at Eindhoven University of Technology, and affiliated with the Digital Society Institute. His research focuses on operations research and supply chain management, particularly in inventory systems, after-sales services, maintenance, and transportation logistics. Research Interests: Operations Research and Optimization Supply Chain and Inventory Management After-Sales Service Logistics Maintenance and Asset Management Service Control Towers and Planning Systems Digitalization in Service Operations His recent publications (2021–2025) emphasize dual sourcing strategies, spare parts logistics using additive manufacturing, collaborative planning in service upgrades, and operational heuristics in service control towers. These works reflect a strong applied focus on improving efficiency, resilience, and cost-effectiveness in complex service and supply networks. Scientific Awards: NGOR/DGOR award for best MSc thesis in Operations Research (1986) Rabobank award for best thesis in Economics and Econometrics at VU Amsterdam (1986) Teacher of the Year Award, Industrial Engineering and Management (2017) Advising and Grants: He has supervised at least 7 academic works, indicating active mentorship in graduate research. While specific grants are not listed, his sustained publication record and applied research suggest involvement in funded collaborative and industry-linked projects. Labs and Teams: He is associated with research in the Digital Society Institute, indicating engagement with interdisciplinary teams focused on digital transformation in societal and industrial systems.

Stefan WalzelView profile

Researcher

• Corporate Social Responsibility (CSR)
• Commercialization of Sport
• Sustainable Development Goals (SDG)
• +3 more

Dr. Stefan Walzel is a researcher at the Institute of Sport Economics and Sport Management (Section Sports Business Administration) at German Sport University Cologne. With a PhD in Sport Science (2010) and a diploma in Sport Economics, he focuses on Corporate Social Responsibility (CSR) in sports, commercialization impacts, and UN Sustainable Development Goals (SDGs) . His work intersects sport studies , organizational ethics , and sustainability frameworks . PhD in Sport Science (German Sport University Cologne, 2010) Diploma in Sport Economics (German Sport University Cologne, 2005) Student exchange at Victoria University of Technology (Melbourne, 2004-2005) Studies in Business Administration (Distance Learning University Hagen, Humboldt University Berlin, 1997-2002) His research explores CSR implementation in sports, governance practices, and sustainability challenges in major sporting events. Projects include CSR-Score Card and co-hosting event sustainability analysis , with findings published in journals and anthologies. Recent works address ethical sponsorship strategies and SDG alignment. Notable scientific awards include the EASM Distinguished Service Award (2022) . He serves on editorial boards and academic councils, with over 74 publications and 8 projects. Collaborations span researchers like Sebastian Uhrich, Kirstin Hallmann, and Christoph Breuer. He actively contributes to international sports policy discussions and industry knowledge transfer.

• Transport Policy
• Sustainable Transport
• Public Transport Governance
• +6 more

Professor Tom Rye is a faculty member at Edinburgh Napier University within the School of Engineering and The Built Environment . His work focuses on Transport Policy , Sustainable Transport , and Public Transport Governance , with specific expertise in institutional dynamics, policy implementation, and urban mobility. Research Themes Transport economics and social equity Smart cities and mobility innovation Freight policy and collaborative governance Institutional analysis in transport planning Notable Contributions Hybrid policy implementation theory EU-funded projects on sustainable mobility (PROSPERITY, DYNAMO, CIVITAS CAPITAL) Analysis of formal/informal governance structures Supervision Director for Clare McTigue's bus policy research Second supervisor for Shelly-Ann Julien's port efficiency study Grants £187,417 (EU Park4SUMP) £254,160 (EU PROSPERITY) £62,823 (EU CIVITAS CAPITAL)

Andrew GoodwinView profile

Professor

• Critical Care
• Clinical and Translational Research
• Electronic Health Records (EHR)
• +4 more

Andrew Goodwin, M.D., MSCR, is a Professor of Medicine and Section Chief of Critical Care at the Medical University of South Carolina (MUSC). His research focuses on clinical and translational studies to improve critical illness outcomes through electronic health record (EHR) innovations, clinical decision support systems (CDSS), and multicenter clinical trials. He leads MUSC’s ICU clinical trials program, collaborating with networks like PETAL, ACTIV, and STRIVE, and investigates EHR-driven adherence to ICU best practices and machine learning applications in clinical trials. Dr. Goodwin received his B.S. in Bioengineering from Syracuse University, M.D. from SUNY Stony Brook, and completed residency at Massachusetts General Hospital and fellowship in Harvard’s Combined Program. He joined MUSC faculty in 2011, where he directs research infrastructure through the CTSA program and trains early-career clinical trialists. Critical Care Clinical and Translational Research EHR-enabled Investigation Clinical Decision Support Systems Sepsis Respiratory Failure His recent publications span 2014–2024, addressing topics like EHR harmonization, CDSS for fluid prescribing, driving pressure in ARDS, and microRNA in sepsis. Awards include the Department of Medicine’s Research Faculty Mentor of the Year.

• Public Law
• Criminology
• European Criminal Law
• +5 more

André Inácio is a Lecturer at Lusófona University , with a focus on public law, criminology, and urban security. He holds a Bachelor's degree in Right, a Higher Education Diploma in 2nd Degree Studies in Public Law, and postgraduate qualifications in Economic and European Criminal Law and Criminology. Research Interests: Public Law, Criminology, Corruption Prevention, Urban Security, Predictive Modeling, Migration Studies Publications: Explores intersections between law, security, and predictive analytics in peer-reviewed journals and book chapters.

• Prostate Cancer
• Cancer Biology
• Translational Research
• +7 more

Professor Bill Watson is a Full Professor of Cancer Biology at the University College Dublin, School of Medicine , where he serves as Head of Pathology and Director of the Biomedical Health and Life Science BSc program. With a PhD in Biochemistry (University College Cork, 1995) and post-doctoral training at the University of Toronto, he has led translational research in prostate cancer since returning to UCD in 1997. His work focuses on biomarker discovery, therapy resistance mechanisms, and clinical decision tools through the Prostate Cancer Research Consortium and iPROSPECT collaborations. Education: BSc (University College Dublin), PhD (Royal College of Surgeons in Ireland), Post-Doctoral Research Fellow (Toronto General Hospital) His research integrates genomic, epigenetic, and proteomic biomarkers to improve prostate cancer stratification and treatment selection, as demonstrated in the Movember Global Action Plan and ToPCaP initiatives. Recent studies include validating a six-gene MCRS signature for biopsy-based prognostics (2025) and developing beta mixture models for DNA methylation analysis (2024). Scientific Awards include the Alton Prize (2000), Presidents Awards for Teaching (2000, 1998), and Young Investigator Award (1995). He has received grants such as the UCD Equip Scheme (2021) and Molecular Therapeutics for Cancer (2009-2015) . Professional Leadership: Irish Association for Cancer Research (President 2014-2017), Cancer Trials Ireland (Chair of Translational DSSG 2014-present), and Royal Academy of Medicine in Ireland (Fellow since 2006)

Damian FlynnView profile

Associate Professor

• Renewable Energy Integration
• Power System Stability
• Wind Energy
• +7 more

Dr Damian Flynn is an Associate Professor at the UCD School of Electrical and Electronic Engineering , University College Dublin. His research focuses on the challenges of integrating renewable energy sources like wind and solar into power systems while maintaining stability and reliability. Research Themes: High renewable penetration, grid-forming converters, energy storage, and smart grid technologies. Collaborations: EirGrid, Glen Dimplex, Electricite de France, and General Electric. Dr Flynn’s work addresses the technical and economic feasibility of transitioning to 100% renewable energy systems, particularly for islanded grids like Ireland’s. His models explore scenarios for 2030–2050, emphasizing the need for adaptive infrastructure and policy frameworks. Key challenges include balancing unpredictable renewable supply with demand, managing grid congestion, and leveraging technologies such as electric vehicles and blockchain for system stability. Recent Publications highlight trends in grid-forming converter design, renewable curtailment reduction, and multi-carrier energy systems. He investigates solutions like transportable storage and dynamic line rating to enhance grid flexibility. Scientific Awards: Smurfit Kappa Newman Fellowship Award.