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Kimberly P. EllisView profile

Associate Professor

• Manufacturing Systems Engineering
• Logistics Systems Analysis and Design
• Production Planning
• +3 more

Kimberly P. Ellis is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. She holds affiliations as Site Director of the Center for Excellence in Logistics and Distribution (CELDi) and Associate Director of the Center for High Performance Manufacturing (CHPM). Her research focuses on manufacturing systems engineering, logistics optimization, and applied operations research, addressing challenges in production planning, supply chain management, and industrial gas distribution. Education: Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology, M.S. and B.S. in Industrial Engineering from the University of Tennessee. Research interests include large-scale operational planning, material logistics, and process optimization. Her work has been supported by the National Science Foundation, Ericsson, Lucent Technologies, and others. She co-directs the Dover Laboratory for Manufacturing Systems Integration and has served in leadership roles at the College Industry Council on Material Handling Education (CICMHE), including past-president (2014–Present). Awards include the Dean’s Award for Service Excellence (2011–12), Dean’s Award for Teaching Excellence (2009–10), and the Ralph R. Teetor Award for Young Educators (2002). Recent courses taught include Production Planning and Inventory Control, Production Systems Analysis, and Systems Engineering Process.

Geoffrey NelissenView profile

Assistant Professor

• Real-Time Systems
• Schedulability Analysis
• Multicore Platforms
• +3 more

Geoffrey Nelissen is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology. He holds additional roles as a Research Scientist and Investigador Auxiliar at INESC TEC (Portugal), contributing to interdisciplinary research in real-time systems. His work focuses on schedulability analysis, parallel task execution, and real-time communication protocols, with applications in embedded systems and multicore architectures. Research Interests: Real-Time Scheduling Response Time Analysis Multi-core and Parallel Systems Time-Sensitive Networking (TSN) Formal Verification Recent work emphasizes schedule abstraction frameworks, memory contention analysis, and deterministic communication protocols. His research has received recognition through multiple best paper awards including ICESS 2021 and RTAS 2022. He actively contributes to conferences like RTSS and ECRTS while teaching courses on Real-Time Systems and Operating Systems. Collaborations span European institutions with focus on embedded systems, autonomous driving, and safety-critical applications. Current projects explore holistic approaches to WCRT analysis and resilient real-time communication architectures.

Andreas MalikopoulosView profile

Professor

• Cyber-Physical Systems
• Transportation Systems
• Control Theory
• +4 more

Andreas Malikopoulos is a Professor at Cornell University's School of Civil & Environmental Engineering and Director of the Information and Decision Science Lab (IDS Lab). Previously, he held roles as the Terri Connor Kelly and John Kelly Career Development Professor at the University of Delaware (UD) and founding Director of UD's Sociotechnical Systems Center. He also served as the Alvin M. Weinberg Fellow at Oak Ridge National Laboratory (ORNL), Deputy Director of ORNL's Urban Dynamics Institute, and Senior Researcher at General Motors R&D. His research focuses on cyber-physical systems (CPS), stochastic control, and learning-driven approaches for optimizing energy efficiency and sustainable mobility in smart cities and transportation systems. Education: PhD (Mechanical Engineering, University of Michigan, 2008), M.S. (Mechanical Engineering, University of Michigan, 2004), Diploma (National Technical University of Athens, 2000). Research Interests: Analysis and control of CPS, stochastic scheduling, game theory, and mechanism design applied to emerging mobility systems (e.g., autonomous vehicles, electric vehicles). He emphasizes integrating learning and control for socially optimal solutions in transportation networks. Awards: IEEE ITS Young Researcher Award (2019), UD’s Outstanding Junior Faculty Award (2020), Alvin M. Weinberg Fellowship (2010), and recognition as a NAS Kavli Frontiers of Science Scholar (2012). He is an IEEE Senior Member, ASME Fellow, and serves on editorial boards of leading journals. Teaching: Focuses on optimal decision-making, control theory, and emerging mobility systems. Courses include stochastic optimal control and game theory at Cornell. Labs: Leads the IDS Lab, which develops scalable frameworks for CPS and smart city applications. Current projects include coordinated routing for mixed-traffic systems and AI-driven recommendations for autonomous vehicles.

Kaidi YangView profile

Assistant Professor

• Intelligent Transportation Systems
• Traffic Flow Theory and Control
• Multimodal Transportation Systems
• +5 more

Kaidi Yang is an Assistant Professor at the National University of Singapore (NUS) in the Department of Civil and Environmental Engineering, specializing in Intelligent Transportation Systems and related fields. He holds a PhD from ETH Zurich (2019), an M.Sc. in Control Science and Engineering from Tsinghua University (2014), and dual bachelor’s degrees in Automation and Mathematics from Tsinghua University (2011). His research focuses on advancing traffic control, connected/automated vehicles, shared mobility systems, and data privacy in transportation. He has contributed to developing algorithms for efficient traffic signal control, platooning coordination, and privacy-preserving data sharing in transportation networks. Education: Ph.D., Civil and Environmental Engineering (Transportation), ETH Zurich, 2019 M.Sc., Control Science and Engineering, Tsinghua University, 2014 B.Sc./B.Eng., Dual Degrees in Pure/Applied Mathematics and Automation, Tsinghua University, 2011 Yang has received prestigious awards including the Swiss National Science Foundation’s Postdoc Mobility Fellowship (2021–2022) and the IEEE ITS Conference Best Student Paper Award (2020). He serves as an Associate Editor for the IEEE Conference on Intelligent Transportation Systems (2024). His work bridges theoretical advancements in operations research, robotics, and machine learning with practical applications in urban mobility systems. Recent efforts emphasize integrating privacy-preserving techniques into traffic management and optimizing mixed-autonomy platoon control.

Nelson P. RepenningView profile

Professor

• System Dynamics
• Organization Studies
• Management Science
• +6 more

Nelson P. Repenning is the Faculty Director of the MIT Leadership Center and the School of Management Distinguished Professor of System Dynamics and Organization Studies at MIT Sloan School of Management. His research focuses on organizational effectiveness, knowledge work optimization, and dynamic management systems. He holds a BA in Economics from Colorado College and a PhD in Operations Management and System Dynamics from MIT. Repenning’s work addresses challenges in organizational capability development, safety practices, and strategic execution. He co-authored the forthcoming book *There Has Got to Be a Better Way* (2025) and is a partner at ShiftGear Work Design. His awards include the Jay Wright Forrester Award (2003) and the Jamieson Prize for Excellence in Teaching (2011). Key research trends in his articles include analyzing workflow bottlenecks in knowledge-intensive industries, linking daily operations to strategic goals, and exploring systemic drivers of organizational failure. His work spans healthcare, manufacturing, and innovation management, emphasizing practical frameworks for sustainable improvement. Repenning teaches executive courses on business process design and sustainability strategy, emphasizing dynamic work design principles. He has advised organizations globally on operational efficiency and leadership systems.

Mahsa GhasemiView profile

Assistant Professor

• Reinforcement Learning
• Control Theory
• Active Perception
• +3 more

Mahsa Ghasemi is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University, leading the AKADEMI Group. Her research focuses on theoretical advancements in trustworthy sequential decision-making for autonomous systems, emphasizing human-aware collaboration and adaptation to dynamic environments. She is affiliated with the Institute for Control, Optimization and Networks (ICON). Education: PhD in Electrical and Computer Engineering from The University of Texas at Austin (2021), MSE in Mechanical Engineering (2017), and BSc in Mechanical Engineering from Sharif University of Technology (2014). Research Interests: Reinforcement learning, control theory, active perception, multi-agent systems, robotics, and online learning. Applications span disaster response, healthcare, and autonomous systems design. Key methodological directions include compositional learning, human-AI collaboration, and adaptive decision-making under uncertainty. Teaching: Courses include Reinforcement Learning Theory (ECE 59500), Introduction to Reinforcement Learning (ECE 49595), and Python for Data Science (ECE 20875). Awards: Finalist for Student Best Paper Award at the 2018 American Control Conference (ACC). Students: Current advisees include Maheed H. Ahmed, Jayanth Bhargav, and Somtochukwu Oguchienti. Past members include Lai Wei and Juan Sebastian Mateo Ruiz Bulla. Service: Editorial roles at ICRA, ICCPS, and IFAC workshops. Reviewer for top conferences (NeurIPS, ICML) and journals (Automatica, IEEE TAC). Labs/Teams: Leads the AKADEMI Group, focusing on algorithmic and theoretical research in autonomous decision-making systems.

Robert L. HicksView profile

Professor

• Environmental Economics
• Natural Resource Economics
• Welfare Economics
• +3 more

Robert L. Hicks is a Professor of Economics and Marine Science at The College of William and Mary, holding joint appointments in the Department of Economics and the School of Marine Science. He is affiliated with the Environmental Science and Policy Program and the Thomas Jefferson Program in Public Policy. With a Ph.D. from the University of Maryland and a B.A. from North Carolina State University, Hicks has been a visiting professor at institutions in Germany and Spain, including the University of Bonn and the University of Hannover. His research focuses on environmental and natural resource economics, welfare economics, and econometrics, with notable contributions to fisheries management, eco-labeling, and recreational resource valuation. He has served on the editorial board of Marine Resource Economics and received grants from the National Science Foundation, U.S. Department of Commerce, and philanthropic organizations like the Bill and Melinda Gates Foundation. His awards include the Alumni Fellowship Award and the Plumeri Award for Faculty Excellence. Education: B.A., North Carolina State University Ph.D., University of Maryland Research Interests: Environmental economics emphasizes sustainable resource management, while his work in econometrics advances quantitative methods for policy analysis. Key areas include recreational fishing valuation, eco-labeling impacts, and spatial modeling in fisheries. His research bridges theoretical frameworks with practical applications in coastal and marine environments. Grants & Awards: Recipient of grants from NSF, U.S. Department of Commerce, William and Flora Hewlett Foundation, and Bill and Melinda Gates Foundation Alumni Fellowship Award Plumeri Award for Faculty Excellence Labs & Affiliations: Active in interdisciplinary collaborations, Hicks contributes to policy boards such as NOAA’s Science Advisory Board and aids in shaping environmental and marine policy through academic partnerships.

Misa FaezipourView profile

Associate Professor

• System Dynamics Modeling
• Healthcare Systems Engineering
• Complex Systems Modeling
• +3 more

Dr. Misa Faezipour is an Associate Professor in the Department of Engineering Technology at Middle Tennessee State University (MTSU) and director of the Systems Engineering Lab (SEL). She holds a Ph.D. and M.Sc. in Industrial Engineering and Engineering Management from the University of Texas at Arlington and a B.Sc. in Software Engineering from Islamic Azad University North Tehran Branch. Her research focuses on system dynamics modeling, healthcare systems engineering, complex systems, and sustainability optimization. Dr. Faezipour has advised numerous graduate students in M.S. and Ph.D. programs, focusing on topics such as healthcare disparities, AI robustness, and policy impact analysis. She teaches courses including Engineering Economy, Operations Management, and Engineering Management Systems. Her work spans collaborations with institutions like NASA, the Systems Engineering Research Center, and healthcare organizations. Her recent publications emphasize AI-driven healthcare solutions, system dynamics applications in policy analysis, and optimizing healthcare delivery through data-driven models. She actively contributes to professional organizations such as INCOSE, IEEE, and the System Dynamics Society. Dr. Faezipour’s lab, SEL, develops innovative tools for healthcare informatics, including diagnostic recommenders and policy simulation frameworks. Her research bridges systems engineering with healthcare challenges, addressing issues like racial health inequities and pandemic response strategies.

• Internet Engineering
• Computer Security
• Applied Cryptography
• +7 more

Althaff Irfan Cader Mohideen is a Lecturer at the School of Computing, Engineering and Physical Sciences. His research focuses on Internet engineering, computer security, and applied cryptography, with expertise in security protocols, authentication mechanisms, and trust management. He has contributed to interdisciplinary projects such as the NEAT Horizon2020 initiative and the SMILE project funded by Thales Alenia Space. His work includes developing network access methodologies for rural broadband, optimizing web performance via satellite, and exploring IoT security challenges. Mohideen holds a PhD in authentication mechanisms for e-assessments and collaborated on the award-winning 'Intelligent Keyboard' project. He currently serves as an External Examiner at Staffordshire University and advocates for multidisciplinary collaboration. Research Areas: IoT Security, Network Protocols, Authentication Mechanisms, Trust Management Key Projects: NEAT (Web Performance), SMILE (Streaming Optimization), Rural WiFi Deployment His research emphasizes practical solutions grounded in formal analysis, balancing theoretical rigor and real-world applicability. He actively seeks collaborations across academia and industry, particularly in securing constrained IoT devices and improving trust-based access control systems. Awards: Queen’s Award (2011), Recognition from Google’s 'Making the web Faster' Community Mohideen’s future work targets IoT authentication protocols, trust management in distributed systems, and scalable security solutions for constrained devices. He is committed to advancing sustainable development goals through secure, accessible digital infrastructure.

• Risk Management
• Resilience in Agri-Food Systems
• Agricultural Insurance
• +3 more

Prof. Miranda Meuwissen is a Professor of Risk Management and Resilience in Agri-Food Systems at Wageningen University, Netherlands. She specializes in financial management, agricultural insurance, and resilience frameworks for farming systems. Her work focuses on sustainable transitions, climate resilience, and policy design for agricultural systems across Europe and beyond. Education: PhD in 'Insurance as a risk management tool for European Agriculture' (1995-2000). Previous roles include Associate/Assistant Professor positions at Wageningen (2005-2017), and senior researcher roles in agricultural risk management. She coordinates major initiatives such as the EU-funded SURE-Farm project (2017-2021), exploring sustainable and resilient farming systems, and the 4TU-Redesign initiative designing future food systems. Research Interests: Development of resilience assessment frameworks, risk management strategies in agriculture, financing sustainable transitions, and exploring synergies between production efficiency, environmental sustainability, and socio-economic resilience. Notable contributions include frameworks for resilience measurement in farming systems and analysis of pandemic impacts on agricultural resilience. Grants & Leadership: Coordinator of H2020 SURE-Farm (€6.5M+), 4TU-Redesign (2023-2028), and WUR-SSG system transition team (2022-2024). Organizes international seminars on sustainable transitions and annually coordinates the PhD Summer School on Risk Management in Agriculture. Key Projects: Participatory impact assessments of farming systems resilience, analysis of soil quality economic value, and innovative financing models for aquaculture. Her work bridges academic research with policy through collaborations with institutions like IAMO and 4TU Alliance.

• Construction Safety and Risk Management
• Project Risk Assessment
• Railway and Highway Safety
• +3 more

Professor Min An is a Professor of Construction and Risk Management at the University of Salford, leading the Infrastructure Research Group within the School of Science, Engineering & Environment. He holds an honorary professorship at two overseas universities (China and Portugal) and serves on the editorial boards of 12 international journals. With over 40 years of experience, his career spans academic roles at Heriot-Watt University, Coventry University, and the University of Birmingham, alongside industry roles as a civil engineer and researcher. His research focuses on safety and risk management in construction, transportation systems, and energy sectors, with over 200 publications. Key areas include railway and highway safety, offshore oil & gas risk assessment, and nuclear reliability management. He has secured funding from EPSRC, EU, DfT, and industry partners, leading 20+ projects. Notable achievements include developing methodologies for infrastructure safety and maintaining collaborations with 30+ industrial partners. Professor An has supervised 30 PhD students and over 280 postgraduate projects, contributing to industry workshops and best practices. Awards include multiple science technology prizes and conference best paper/keynote recognitions. His teaching spans risk management, construction safety, and project management across MSc programs.

Lu SuView profile

Associate Professor

• Internet of Things
• Cyber-physical Systems
• Wireless and Mobile Sensing
• +7 more

Lu Su is an Associate Professor at the School of Electrical and Computer Engineering , Purdue University , with prior appointments at SUNY Buffalo . His research spans Internet of Things , cyber-physical systems , mmWave sensing , and crowd-sourced data validation , focusing on quality-of-information aware distributed sensing and security in autonomous systems . Ph.D. in Computer Science (2013) and M.S. in Statistics (2012) from University of Illinois at Urbana-Champaign M.E. and B.E. from Harbin Institute of Technology Research Interests: IoT , cyber-physical systems , crowd sensing , security and privacy , and machine learning for sensor networks. His work addresses quality-aware information integration , adversarial attacks in autonomous vehicles , and privacy-preserving crowd-sourced systems . Recent publications focus on mmWave-based sensing (e.g., 3D pose reconstruction), federated learning (driver monitoring), and data poisoning attacks in crowd-sourced systems. His research also extends to traffic optimization and human activity recognition using wireless networks. Professional Roles: Workshop Chair (INFOCOM 2023, 2022) TPC Vice Chair (INFOCOM 2021) Program Committee Member for top conferences Editorial Board, ACM Transactions on Sensor Networks Teaching: Courses on Embedded Systems , Internet of Things , and Network Concepts at both undergraduate and graduate levels.

Marko LovricView profile

Assistant Professor

• Forest Policy
• Ecosystem Services
• Bioeconomy
• +5 more

Marko Lovric is an Assistant Professor at Wageningen University & Research's Department of Forest and Nature Conservation Policy. He holds a PhD in forest policy from the University of Freiburg, Germany. His expertise spans forest policy, environmental governance, data analysis, and AI applications in forestry. He has 17 years of research experience, focusing on European ecosystem services, bioeconomy transitions, forest certification, and international forest policy formulation. Education: PhD in Forest Policy (University of Freiburg), prior roles include senior researcher at the European Forest Institute and assistant at the University of Zagreb's Faculty of Forestry. Research Interests: Marko’s work addresses forest policy implementation, ecosystem service valuation, bioeconomy modeling, and international trade dynamics. He employs quantitative methods, big data, and network analysis to explore governance innovations and sustainable forest management strategies. Projects: He coordinated the H2020 SINCERE project on forest ecosystem services and the Horizon Europe project on forest research ecosystems. Current projects include INTERCEDE, focusing on future forest incomes and ecosystem services. Teaching: Involves MSc courses in forest policy, including internships and thesis supervision in forest conservation policy. Labs/Teams: Active in Wageningen’s Forest and Nature Conservation Policy group, contributing to interdisciplinary projects on governance and bioeconomy transitions.

• AI Safety
• Multi-Agent Systems
• Formal Verification
• +5 more

Dr. Muhammad Najib is an Assistant Professor (Lecturer in the UK system) at Heriot-Watt University's School of Mathematical and Computer Sciences in Edinburgh. He is also an Associate Member of the University of Oxford's Department of Computer Science. His research focuses on ensuring AI safety through formal verification methods, particularly in multi-agent systems. Najib holds a DPhil/PhD from the University of Oxford, supervised by Julian Gutierrez and Mike Wooldridge, and has industry experience at Samsung Electronics. Education: BSc from Sepuluh Nopember Institute of Technology, MSc from the University of Liverpool, DPhil/PhD from the University of Oxford. He previously worked as a postdoctoral researcher at TU Kaiserslautern under Anthony Lin. Research Interests: Logic and game theory in AI foundations, equilibrium verification in multi-agent systems, temporal logics, and formal verification techniques. He developed the EVE tool for rational verification. Najib actively supervises PhD students and collaborates on projects like the UKRI AI CDT-D2AIR. Key Contributions: Published 17+ research outputs since 2018. Areas include equilibrium design, probabilistic multi-agent systems, and computational complexity analysis. His work bridges formal methods with AI safety, emphasizing automated synthesis and model checking.

Joel MeroView profile

Associate Professor

• B2B Digital Marketing
• Digital Data Analytics
• Marketing Agility
• +4 more

Joel Mero is an Associate Professor at the School of Business and Economics, University of Jyväskylä , leading the Digital Marketing and Communication (DMC) research group and directing the International Master's Program in Digital Marketing and Corporate Communication (DMCC) . He holds a D.Sc. (Econ.) from Jyväskylä University (2016) and has designed over 20 courses across 10 institutions, covering all academic levels from Bachelor to Doctoral. His research focuses on B2B digital marketing management , particularly leveraging digital data and technologies in business markets. Notable achievements include two Best Paper Awards (2017 & 2019) in the Industrial Marketing Management journal. His work explores topics such as influencer marketing, big data analytics, marketing agility, and AI-driven strategies. Current research groups include the Sound Science Lab (music perception) and Digital Marketing and Communication (DMC) . He collaborates on projects like the Finnish Quantum Flagship , aiming to advance quantum technology applications. Mero emphasizes practical applications of digital tools, bridging academic insights with industry needs. Publications span conceptual frameworks, empirical studies, and industry guides, with a focus on B2B customer journeys, AI in content creation, and data-driven decision-making. His teaching and research highlight agility, innovation, and the ethical use of emerging technologies in marketing.