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Kelvin EricksonView profile

Professor

• Control Systems
• Factory Automation
• Programmable Logic Controllers
• +3 more

Dr. Kelvin Erickson is the Curators’ Distinguished Teaching Professor of Electrical and Computer Engineering and Undergraduate Coordinator at Missouri University of Science and Technology. He joined the faculty in 1986 and served as Department Chair from 2002 to 2014. His expertise spans control systems, factory automation, and programmable logic controllers (PLCs), with over 40 years of experience in industrial automation and process control. Education: PhD in Electrical Engineering, Iowa State University MS and BS in Electrical Engineering, Missouri University of Science and Technology (formerly University of Missouri-Rolla) Research Interests: Dr. Erickson focuses on manufacturing automation, PLC design and applications, advanced process control, and industrial control systems. He has authored multiple textbooks, including Programmable Logic Controllers: An Emphasis on Design and Application and Allen-Bradley PLCs: An Emphasis on Design and Application . Awards and Honors: International Society of Automation Fellow (2019) Curators’ Distinguished Teaching Professorship (2019) IEEE Region 5 Outstanding Engineering Educator Award (2015) Multiple UMR Outstanding Teacher Awards (1987–2015) Grants and Collaborations: He has led grants such as the Controls Laboratory Equipment project (co-PI with Jagannathan Sarangapani). His industry collaborations include work with Fisher Controls, Magnum Technologies, and Rockwell Automation. Labs and Affiliations: Dr. Erickson is affiliated with the Kent D. Peaslee Steel Manufacturing Research Center and serves as an ABET Evaluator and ETAC Commissioner.

Hervé VERJUSView profile

Associate Professor

• Decision aiding software systems
• Information fusion methods
• Business process engineering
• +3 more

Hervé VERJUS is an Associate Professor in Computer Science at Université Savoie Mont Blanc, affiliated with Polytech Annecy-Chambéry and the LISTIC Laboratory. He has held this position since 2002. His research focuses on decision-aiding software systems under uncertainty, integrating heterogeneous data, AI-driven anomaly detection, and dynamic adaptable architectures. Key areas include information fusion models, business process mining, and distributed software design. Education: BSc/MSc in Mathematics/Computer Science (University of Savoie, 1996), MSc in Information Systems (University of Grenoble, 1997), PhD in Computer Science (University of Savoie, 2001) under Professors Jacky Estublier and Flavio Oquendo. Research Applications: Snow avalanche risk assessment (mountain decision support), human resource processes, manufacturing systems, and tourism itinerary recommendations. Previously leveraged π-calculus for system architecture design. Current projects emphasize software prototypes for proof-of-concept validation. Academic Roles: Vice-Dean of IAE Savoie Mont-Blanc (2013–2018), permanent faculty at IAE Savoie Mont-Blanc. Member of LSR Lab (CNRS UMR 5526) and LLP Lab during his PhD and early career. Professional Background: Founded and managed an IT company (1996–1999) before academia. Worked in IT, communications, and NGOs from 1993–1999. Contact: Office A115 at LISTIC, reachable via +33(0)4 50 09 65 94. Personal website: https://hverjus.github.io/

• Seismic Engineering
• Masonry Structures
• Retrofitting Techniques
• +3 more

Dr. Jaroslav Vaculik is a Grant-Funded Researcher (A) in the School of Architecture and Civil Engineering at the University of Adelaide , affiliated with the Civil Engineering department. His research focuses on seismic response of unreinforced masonry buildings, particularly heritage structures, aiming to enhance their earthquake resilience through innovative techniques like FRP retrofitting. He combines practical consulting experience with academic research to address challenges in structural design standards. Research Interests: Seismic behavior of heritage masonry (clay brick/concrete block) FRP strengthening methodologies and durability Out-of-plane collapse mechanisms in unreinforced masonry Development of practical design tools for engineers Key Contributions: Advanced understanding of masonry joint properties and anchorage systems Pioneered field testing protocols for vintage masonry Authored over 30 peer-reviewed publications on structural retrofitting and masonry behavior Advising & Grants: Currently supervising technical projects on masonry retrofitting and seismic risk mitigation, with funding from university grants and industry collaborations.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +13 more

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

Tamas KoltaiView profile

Professor

• Operations Management
• Industrial Engineering
• Production Planning
• +12 more

Tamas Koltai is a Professor at the Budapest University of Technology and Economics, affiliated with the Department of Management and Corporate Economics within the Faculty of Economic and Social Sciences. He holds a PhD in Industrial Engineering and is actively contributing to research in operations management, production planning, and industrial engineering. His research interests include: Operations Management Industrial Engineering Production Planning Assembly Line Balancing Human-Robot Collaboration Data Envelopment Analysis (DEA) Supply Chain Management Learning Curves Flexible Manufacturing Systems Performance Evaluation His recent publications focus on applying mathematical programming models (MILP, CP), simulation, and DEA to optimize assembly lines, particularly under learning effects and human-robot collaboration. He explores workload distribution, cycle time optimization, and efficiency evaluation in both manufacturing and service sectors, including healthcare and business simulation games. His work bridges theoretical models with practical industrial applications, supporting managerial decision-making under uncertainty. While no specific scientific awards are listed, his extensive publication record (over 50 papers) and high citation count reflect significant academic impact. He frequently collaborates with researchers such as Imre Dimény, Noémi Kalló, Viola Gallina, and Rita Dénes. There is no public information on PhD students advised or grants received. His work does not mention specific labs or research teams, but his focus on applied operations research suggests strong industry collaboration potential.

• Robotics
• Autonomous Systems
• Motion Planning
• +3 more

Elias Xidias is an Assistant Professor at the Department of Product & Systems Design Engineering, University of the Aegean. His academic focus is on Motion Planning of Autonomous Moving Units . He holds a Ph.D. in Robotics from the University of Patras and has worked as a Research Engineer in the Robotics Intelligent Transportation Systems (RITS) team at INRIA de Paris. His research interests span Robotic Logistics , Intelligent Transportation Systems , and Human-Robot Collaboration , aiming to enhance automation in manufacturing and transportation through advanced algorithms and autonomous systems. Education : Ph.D. in Robotics, University of Patras (2009) M.Sc./B.Sc. in Mathematics, University of Patras (2003) Research Interests : Xidias' work focuses on optimizing autonomous systems in dynamic environments, including path planning for car-like robots, energy-efficient task scheduling, and collaborative robotics. He explores applications in warehouse automation, maritime navigation, and multi-robot coordination. His methodologies often integrate fuzzy logic, genetic algorithms, and probabilistic models to tackle real-world challenges in logistics and manufacturing. Key Contributions : Developed algorithms for AGV routing and motion planning in flexible manufacturing systems. Advanced real-time autonomous navigation techniques for maritime and aerial vehicles. Pioneered the Aegean Ro-Boat Race , fostering innovation in marine robotics. Grants & Collaborations : Xidias has collaborated with institutions like INRIA Paris and contributed to projects such as the RITS team. His work bridges academia and industry, addressing challenges in smart logistics and autonomous systems. Labs & Teams : Associated with the Robotics & Intelligent Transportation Systems research groups, focusing on applied robotics solutions for industrial and urban environments.

• Service-Oriented Architectures
• Data Management
• Cloud Computing
• +5 more

Dimosthenis Kyriazis is a Professor at the University of Piraeus, affiliated with the Research Center. He currently teaches courses such as C Programming, e-Business, and Information Systems. His research focuses on service-oriented architectures, cloud/edge computing, data management, and healthcare informatics. Kyriazis holds a PhD from the National Technical University of Athens (NTUA) and has contributed to EU-funded projects like BigDataStack and CrowdHEALTH, addressing quality of service, workflow management, and IoT applications. He leads research on data management in cloud/edge environments, socially-enhanced IoT management, and big data applications in sectors like finance and e-health. His expertise spans distributed systems, software engineering, and interdisciplinary collaborations with industries and academia. He has participated in EU working groups on Future Internet Architecture and Cloud QoS&SLAs. Kyriazis actively seeks interns and collaborates on initiatives like AI-driven healthcare platforms (iHELP) and sustainable computing practices. His work emphasizes human-centric AI, data interoperability, and ethical AI frameworks such as AI4Gov for transparent governance. Education: Diploma in Electrical and Computer Engineering (NTUA, 2001), MSc in Techno-economics (NTUA/University of Athens/University of Piraeus, 2004), PhD in Service-Oriented Architectures (NTUA, 2007). Key research areas include federated data marketplaces (FAME), healthcare data integration (holistic health records), and AI applications in finance (DeepVaR). His publications address topics like explainable AI (XAI), defect detection in manufacturing, and environmental risk correlation with health. Grants and collaborations involve coordinating EU projects targeting data governance frameworks, energy-efficient mobility data spaces (Mobispaces), and AI for policy-making (e.g., OECD AI policy analysis). His contributions bridge technical innovation with societal impact through sustainable computing and ethical AI practices.

• Wireless Communications
• Telecommunications Policy
• Economic Impact of Technology
• +9 more

Miquel Oliver Riera is a Full Professor at the Department of Information and Communication Technologies, Pompeu Fabra University. He received his Ph.D. from Universitat Politècnica de Catalunya in 1999 and holds additional degrees in Business Administration (UOC, 2009) and GloColl Executive Education (Harvard, 2011-12). He previously served as Associate Professor at UPC and Visiting Scholar at Rutgers University (1999). He leads the Networking and Strategies Research Group (NeTS) since its foundation and has held visiting positions at MIT (2013-14) and Columbia University (2011). His research focuses on Wireless Communications with a multidisciplinary approach integrating Regulation , Telecom Policies , and Economic Impact . He has authored over 120 papers, including 40 in ISI WoK Journals, 37.9% in SCOPUS Top 10% Journals. His work includes Blockchain applications in Supply Chains , 5G network protocols , and Smart Cities initiatives. His publications highlight trends in Wireless Networks , Blockchain Technology , and ICT for Urban Innovation . Over his career, he has secured 4 Best Paper Awards and received two Jaume Vicens Vives Distinctions for teaching quality. He has supervised 13 Ph.D. theses, holds 3 patents, and co-founded a spinoff company. His leadership roles include directing the Telefónica Chair and serving in UPF's government as Vice-Director and Vice-Rector for Institutional Strategy and Quality (2008-13, 2015-16).

• Microelectronics
• MEMS Resonators
• Radio Frequency (RF) Devices
• +4 more

Dana Weinstein is a Professor in the Department of Electrical and Computer Engineering at Purdue University, West Lafayette campus. Her research focuses on cutting-edge MEMS resonators, RF device integration, and acoustoelectronic systems. Academic Rank: Professor Department: Electrical and Computer Engineering University: Purdue University Email: danaw@purdue.edu Research Interests: Microelectronics and MEMS Resonators Radio Frequency (RF) Devices and 2D Materials Silicon Photonics and Ferroelectric Transducers Acoustoelectronics and GaN/SiC Heterostructures Integrated Nonreciprocal RF MEMS Devices Scientific Awards: NSF CAREER Award (2017) NSF CAREER Award (2012) Editorial Leadership in IEEE Nanotechnology Express (2015) Key Article Trends: Her recent publications explore advanced MEMS resonators, high-frequency RF devices, acoustoelectric interactions, and integration of 2D materials into CMOS-compatible platforms. Topics include Sezawa wave SAW devices, GaN/SiC heterostructures, BEOL-compatible transistors, and ferroelectric-based transducers.

• Hollow Core Optical Fibres
• Optical Communications
• High Power Fibre Lasers
• +3 more

Professor David John Richardson FRS, FREng is Deputy Director of the Optoelectronics Research Centre/Zepler Institute at the University of Southampton and Head of the ORC Fibre and Laser Group. With over 30 years of experience at the ORC, he is globally recognized as a leading authority in optical fibre technology and its applications, spanning telecommunications, high-power laser systems, and biomedical applications. His educational background includes: B.Sc. in Fundamental Physics from Sussex University (1985) PhD in Fundamental Physics from Sussex University (1989) Richardson's research focuses on hollow core optical fibres for telecommunications, lasers and sensing; high power fibre lasers for industrial materials processing; optical communications including high performance optical amplifiers; and ultrafast lasers for biomedical imaging. His work bridges fundamental physics with practical engineering solutions, creating technologies with significant academic and industrial impact. The interdisciplinary nature of his research connects materials science, photonics, telecommunications, and biomedical engineering, resulting in practical applications across multiple sectors. His recent publications demonstrate a strong emphasis on hollow core fiber technology, with numerous papers exploring novel designs, manufacturing techniques, and applications across telecommunications, sensing, and medical fields. Key trends include the development of ultra-stable fibers using specialized materials, high-energy laser systems based on hollow core architectures, and biomedical applications leveraging the unique properties of advanced optical fibers for precision medical procedures. Professor Richardson's scientific achievements have been recognized with numerous prestigious awards: Fellow of the Royal Society (2018) Fellow of the Royal Academy of Engineering (2009) IET Team Innovation Award (2010) Royal Society Wolfson Research Merit Award (2013) EU Horizon 2020 Prize "Breaking the Optical Transmission Barriers" (2016) Sir Harold Hartley Medal (2022) Fellow of IEEE, OSA, and IET Throughout his career, Professor Richardson has supervised over 70 PhD students to completion and mentored more than 100 postdoctoral research fellows, many of whom have established successful careers in academia and industry. His research has been supported by substantial grants from EPSRC, European Union programs, and industry partners, including major projects like the EPSRC Hyperhighway and Airguide Photonics Programmes and EU PHASORS, MODEGAP and SAFARI projects. His work has resulted in more than 1,500 research papers and over 30 patents. Professor Richardson leads the ORC Fibre and Laser Group, a world-renowned research team that has pioneered numerous advances in optical fiber technology. The group maintains strong collaborations with industry partners and has co-founded two successful spin-out companies: SPI Lasers Ltd (2000) for industrial fibre lasers and Lumenisity Ltd (2017) for telecommunications cables, demonstrating his ability to translate fundamental research into commercially viable products with global impact.

Don G. WardellView profile

Professor

• Quality Management
• Statistical Process Control
• Service Operations Management
• +3 more

Don G. Wardell is a tenured Professor and Francis A. Madsen Scholar in the Department of Operations and Information Systems at the University of Utah's David Eccles School of Business. Holding the David Eccles Faculty Scholar designation, he serves as a key contributor to the school's academic mission through teaching, research, and service. His educational background includes: Ph.D. in Management Science from Purdue University (1990) MS in Metallurgical Engineering from University of Utah (1987) BS in Metallurgical Engineering from University of Utah (1985) Wardell's research centers on quality management and statistical process control (SPC), with significant contributions to understanding SPC under non-ideal conditions like autocorrelation. His recent work extends into service operations management, particularly examining service scripting and customer perception. He has pioneered methods for adapting SPC to educational contexts and service industries, challenging traditional assumptions through rigorous probability distribution analysis. His publication record shows a strong focus on operations management with recurring themes in SPC methodology, service quality measurement, and educational applications of statistics. Articles consistently address practical implementation challenges in both manufacturing and service environments, with increasing attention to customer experience metrics in service operations. His scientific recognition includes: Production and Operations Management Society’s Most Influential Paper Award (2015) Multiple university-level teaching honors including the Calvin S. Hatch Prize (2020) Brady Superior Teaching Award (awarded 2024, 2015, 1999) Distinguished University Teaching Award (2007) Purdue University Dissertation Competition Winner (1991) Wardell maintains active industry engagement through consulting with organizations including American Express, Utah Transit Authority, and the LDS Church Family History Department. His teaching philosophy emphasizes critical thinking development and student-centered learning, reflected in his receipt of the Center for Disability Services Teaching Award (2007). He has taught internationally in Costa Rica (in Spanish) and Spain, and serves on editorial boards for Production and Operations Management and IIE Transactions.

Matti VilkkoView profile

Professor

• Control Engineering
• Industrial Process Control
• Energy Systems
• +9 more

Matti Vilkko is a Professor in Control Engineering at Tampere University's Faculty of Engineering and Natural Sciences , specifically within the Automation Technology department. He serves as Head of the Automation and Mechanical Engineering Unit. Research Focus: Industrial process control, mathematical modeling, state estimation, and optimization of metallurgical and energy systems Key Projects: Future Electrified Mobile Machines (FEMMa), Circular Economy of Water (CEIWA), Social Energy Ecosystems (ProCem), Green Electrification (HYGCEL) His work combines control theory with industrial applications, particularly in copper smelting optimization, green hydrogen systems, and smart energy networks. Recent publications show expertise in: Machine learning for wind turbine cybersecurity ASM1 calibration for wastewater treatment EU regulatory impacts on hydrogen infrastructure Finite element analysis of paperboard mechanics Price-based coordination in metallurgical processes He leads interdisciplinary collaborations across Finland, integrating automation technology with energy systems, materials science, and industrial ecology.

Özalp ÖzerView profile

Professor

• Supply Chain Management
• Distribution Channel Management
• Incentive Mechanisms and Contracts
• +7 more

Özalp Özer is a leading academic and industry executive specializing in Operations Management , Supply Chain Strategy , and Behavioral Operations . Currently, he serves as Director of Fulfillment by Amazon (FBA) Science & Innovation and as a Visiting Professor at MIT Sloan School of Management . He has held prestigious academic roles at The University of Texas at Dallas (George and Fonsa Brody Professor), Columbia University , and Stanford University , where he was a Consulting Associate Professor and Hellman Faculty Fellow . PhD, MS, Columbia University (Operations Research) BS, Bilkent University (Industrial Engineering) Özer's research spans end-to-end global supply chains , behavioral operations , pricing management , and inventory coordination . His work integrates Operations Research , Machine Learning , and Behavioral Economics to solve real-world business challenges. He pioneered the concept of Genuine Intelligence (GI) , combining analytical tools with human insights. His publications in top journals like Management Science and Operations Research address topics such as trust in supply chains , dynamic pricing , and RFID technology . Özer has received numerous accolades, including the Wickham Skinner Early-Career Award , NSF Grants , and teaching honors from MIT, Columbia, and Stanford. Özer actively contributes to editorial boards of major journals and has advised industry leaders like General Motors, IBM, and Amazon. His work bridges academic research and practical implementation , focusing on optimization algorithms , seller recommendation systems , and resource management .

Kavita SuranaView profile

Professor

• Climate and Energy Technologies
• Innovation Policy
• Sustainable Energy Systems
• +7 more

Kavita Surana is a Full Professor at the Vienna University of Economics and Business and an Associate Faculty member at the Complexity Science Hub (CSH) since January 2022. Her interdisciplinary work bridges materials science, energy systems, and innovation policy, with a strong focus on climate and energy technologies. Her research interests lie at the intersection of public policy and private sector engagement in addressing green transition challenges. She investigates how innovation in climate technologies is shaped by corporate investment, public grants, and policy frameworks. Her work emphasizes sustainable energy systems, clean tech entrepreneurship, and the role of global supply chains in renewable energy innovation. The recent articles highlight a consistent trend in analyzing climate-tech innovation ecosystems, particularly the interplay between public and private investment in startups, carbon capture technologies, and policy-driven decarbonization. Her publications span high-impact journals such as Nature Energy , Nature Climate Change , Research Policy , and Joule , reflecting a strong interdisciplinary and policy-relevant research agenda. Scientific Awards: No awards explicitly mentioned in the text. Kavita has led multiple policy reports for regional and national policymakers and has worked on consulting projects with organizations like the World Bank. Her research has been funded by prestigious institutions including the US National Science Foundation, Energy Futures Initiative, and the Alfred P. Sloan Foundation. While no formal list of advisees is provided, her senior academic role and research leadership suggest involvement in mentoring graduate students and early-career researchers. She is actively involved in research projects related to energy systems modeling, climate policy analysis, and innovation in clean technologies, likely contributing to collaborative teams at both the Complexity Science Hub and Vienna University of Economics and Business.

• Energy Economics
• Productivity Analysis
• Regulatory Economics
• +5 more

Arocena Garro, Pablo is a Post University Professor at the Public University of Navarra, affiliated with the Institute for Advanced Research in Business and Economics (INARBE). He holds a position in the Department of Business Management within the Faculty of Economics and Business Administration. His academic training focuses on Economic and Business Sciences. Key roles include former Dean of the Faculty of Economics and Business Administration (2012-2016), Vice President of the Spanish Association for Energy Economics, and Director of INARBE. He has also served on editorial boards for journals like Energy Economics and Business Research Quarterly. Research interests span energy economics, regulatory policy, productivity analysis, environmental management, occupational safety, and public sector efficiency. Notable projects include analyzing energy cost competitiveness, ISO 14001 impacts, and judicial efficiency benchmarking through EU initiatives like COST Action CA20131. Award-winning work includes the IV Premio Martín de Azpilicueta (2007) for municipal efficiency studies and recognition for occupational risk prevention research. His work explores the interplay between regulation, voluntary standards, and eco-innovation, with a focus on Spain’s energy sectors and privatization policies. Grants and contracts include leading the €1.4M 'Efficient Justice for All' EU project and multiple national research grants. Collaborations span institutions like Loughborough University and Blekinge Institute of Technology. His research bridges theoretical and applied economics, with contributions to policy design and industry benchmarking.