Bill Buchanan is a Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a member of the Centre for Algorithms, Visualisation and Evolving Systems. His work spans Information Visualization , Software Systems , Cybersecurity , and AI , focusing on innovative solutions for complex data challenges. Research Interests: Information visualization for hierarchical data, cybersecurity frameworks, machine learning in industrial IoT, and post-quantum cryptographic systems. Projects: Supervised PhD projects on visualizing overlapping classification hierarchies and biological network inference. Currently leads research in AI-driven human-robot interaction and secure Dockerized architectures. Publications: 15+ recent works on quantum agents, GANs for anomaly detection, homomorphic encryption, and advanced cryptographic techniques. Collaborations: Engages with biologists, AI researchers, and cybersecurity experts across institutions.
Maria Papanikou is a Senior Lecturer in Aviation Engineering at the Aviation Academy, Amsterdam University of Applied Sciences. She holds a PhD from the University of Greenwich (2017), focusing on 'The philosophy of safety: system changes and the re-organisation of the aviation industry'. Her research emphasizes aviation safety, fatigue management, and policy-making in air transport. Key areas include operator variability in advanced systems, neuroscientific tools for fatigue monitoring, and safety metrics for aviation organizations. Recent work explores crisis-driven HR practices' impact on aviation safety and the application of big data in risk assessment. She has supervised student theses on MRO incident taxonomies and just culture in aviation. Collaborations include EUROSIM Congress and Rijkswaterstaat. A notable dataset, 'raak pro SMS Aviation', examines safety management systems in aviation. Her research outputs span peer-reviewed journals like Aircraft Engineering and Aerospace Technology, and she actively participates in academic conferences. Her contributions bridge engineering, cognitive science, and policy to enhance aviation safety frameworks.
Dr. Izabela Michalska-Dudek is a Professor and Head of the Department of Marketing and Tourism Management at Wrocław University of Economics’ Jelenia Góra Branch. She specializes in customer loyalty mechanisms, consumer behavior in tourism, and digital transformation impacts on travel agencies. Her work emphasizes empirical studies on CRM systems, post-pandemic travel decision-making, and predictive modeling for loyalty programs. Research Interests: Customer Relationship Management (CRM), Virtualization in Tourism, Pandemic Impact Analysis, Retail Tourism (ROPO), and Machine Learning applications in loyalty analytics. She actively publishes in peer-reviewed journals and organizes international conferences like the 'Current Trends in Spa, Hotel and Tourism' series. Publications focus on analyzing socio-economic factors influencing travel behavior, crisis management strategies, and technological adoption in the tourism sector. Recent work explores how machine learning can uncover consumer loyalty motives and quantify pandemic-related behavioral shifts. No scientific awards listed. She supervises doctoral students and is open to socio-economic collaborations. Consultations available via MS Teams on Fridays.
Stephen K. Robinson is a Professor in the Department of Mechanical and Aerospace Engineering at the University of California Davis. His work focuses on turbulence flow physics, experimental techniques, and aerospace applications, with recent emphasis on human-robot interaction, space systems, and autonomous technologies. Research interests include turbulence modeling, advanced instrumentation, 3D visualization, and safety engineering. His work integrates applied aerodynamics with cognitive psychology to address challenges in space exploration, such as haptic interfaces, VR training, and human performance under extreme conditions. Recent publications highlight innovations in spacecraft maintenance, robotic systems, and autonomous glider design. His projects often combine hardware development with simulation tools, such as digital twins and real-time performance metrics for manual spacecraft operations. Robinson collaborates on NASA-related initiatives including EVA training systems, habitat technology, and lunar construction dynamics. He has pioneered solutions for CO2 removal systems, spacesuit glove ergonomics, and radiation-resistant materials for extraterrestrial missions.
Professor Steven A. Velinsky is a faculty member in the Department of Mechanical and Aerospace Engineering at the UC Davis College of Engineering. His research focuses on mechanical systems analysis, design, and automation, particularly in the context of highway maintenance and construction technologies. He directs the Advanced Highway Maintenance & Construction Technology (AHMCT) Research Center, which develops advanced automation and robotics solutions to enhance safety and efficiency in highway operations. His work spans diverse applications including wire ropes, vehicles, air bearings, ballscrew mechanisms, and automated machinery for tasks like snowplowing, pothole repair, and debris removal. The AHMCT Center emphasizes interdisciplinary innovation to address challenges in public infrastructure maintenance. Professor Velinsky collaborates with agencies like Caltrans to evaluate and implement new technologies such as the TowPlow, Sealzall Machine, and robotic systems for automated tasks. Recent research trends include optimizing traction control in winter conditions, improving deicing methods, and advancing fuel cell-powered lighting systems. His projects highlight the integration of robotics, control systems, and mechanical engineering principles to solve real-world infrastructure challenges. No notable scientific awards are listed, though his contributions to highway automation are significant. He has advised numerous projects but no specific student names are provided in the text. Key lab affiliations include the AHMCT Center, which serves as a hub for applied research in transportation infrastructure. Projects focus on both mechanical design and system-level automation, with applications ranging from pavement maintenance to roadside vegetation control.
Kjell Gunnar Robbersmyr is a Professor at the University of Agder's Department of Engineering Sciences and director of the Top Research Center in Mechatronics. With a Ph.D. in mechanical engineering from NTNU (1992), his career spans academic leadership, research management at Agder Research, and active contributions to IEEE. His work focuses on mechatronics, machine design, and condition monitoring, with special emphasis on fault diagnosis in electric motors and vehicle crash modeling. Senior Member of IEEE Member of Norwegian Academy of Technical Sciences Member of Agder Academy of Sciences Research interests include: Advanced fault diagnosis in electric drives using AI and signal processing Vehicle crashworthiness modeling with lumped parameter and finite element methods Optical measurement technology for machine monitoring Digital twin applications for infrastructure and wind energy systems Condition monitoring of low-speed bearings and rotating machinery Recent publications demonstrate expertise in: Deep learning for imbalanced motor fault datasets Transformer networks in power electronics diagnostics 3D reconstruction techniques for mechanical systems Multi-classifier decision fusion in power systems Dynamic operations modeling for electric vehicles Scientific contributions include: Over 50 peer-reviewed articles Leadership in the Intelligent Monitoring research group Development of novel inverter topologies Innovations in wind turbine condition monitoring Advancements in laser-based mechanical diagnostics
Rosita Guido is an Associate Professor in the Department of Mechanical, Energy and Management Engineering at Università della Calabria, specializing in Operations Research (MATH-06/A). Her academic role focuses on mathematical optimization and artificial intelligence applications across healthcare, manufacturing, and sustainable systems. She teaches graduate courses including Tools and Methods for Innovation in Healthcare and Business Intelligence within the Management Engineering program. Her research interests span healthcare optimization, predictive maintenance, machine learning applications, and sustainable supply chain management. Guido develops advanced mathematical models and algorithms for complex decision problems under uncertainty, with particular emphasis on healthcare systems optimization, tool condition monitoring, and resource allocation. Her methodological expertise includes mathematical programming, combinatorial optimization, stochastic programming, and hybrid AI techniques. Analysis of her recent publications reveals a strong interdisciplinary focus bridging engineering and healthcare. Key trends include the application of machine learning (particularly SVMs and CNNs) to medical diagnostics, optimization of healthcare operations (patient admission scheduling, bed management), and integration of AI with IoT for industrial applications. Her work demonstrates consistent innovation in solving real-world problems through mathematical modeling and algorithm development. As an active member of the Operations Research (Ricerca Operativa) research group at DIMEG, she contributes to projects addressing logistics optimization, green transportation systems, energy infrastructure management, and clinical process optimization. The group maintains international collaborations with prestigious research centers and companies including Amazon. Guido's teaching portfolio includes graduate-level courses in Management Engineering, where she integrates her research expertise into curriculum development. Her academic service includes participation in departmental governance and research initiatives within the Department of Mechanical, Energy and Management Engineering.
Shannon Roberts is an Associate Professor in the Mechanical and Industrial Engineering Department at the University of Massachusetts Amherst, leading research in Human Factors and Transportation Safety. Her work spans driver-vehicle interaction, automated systems, and equity-focused transportation design, with notable grants from NSF, Sloan Foundation, and UMass ADVANCE. Education: PhD and MS in Industrial Engineering (University of Wisconsin-Madison), BS in Mechanical Engineering (MIT) Research focuses on: Teen Driver Safety and Training Effectiveness Human Factors in Automated Vehicles Cybersecurity Response in Transportation Feedback Systems for Driver Performance Community-Centered Traffic Mitigation Recent publications analyze distraction patterns, automation impacts, and VR-based driver assessment. Her team has received multiple awards including the Bentzi Karsh Early Career Service Award and Stephanie Binder Young Professional Award . Students: Mentored 15+ undergraduate and graduate researchers including Meng Wang (PhD candidate), Jaji Pamarthi (PhD student), and alumni like Yalda Ebadi (New Relic) and Fangda Zhang (Ohio State University) Contact: scroberts@umass.edu | LinkedIn | Google Scholar
Paulo Romero Martins Maciel is a full professor at the Center for Informatics, Federal University of Pernambuco (UFPE), Brazil, where he has been a member since 2001. He previously served as a professor in the Department of Electrical Engineering at the University of Pernambuco from 1989 to 2003. He completed his graduate degree in electronic engineering from the University of Pernambuco in 1987, followed by master's and doctorate degrees in electronic engineering and computer science from UFPE. During his doctoral studies, he conducted a "sandwich internship" at Eberhard-Karls-Universität Tübingen, Germany (1996-1997), and later spent a sabbatical year at Duke University's Edmund T. Pratt School of Engineering. Graduate Degree: Electronic Engineering, University of Pernambuco (1987) Master's Degree: Electronic Engineering and Computer Science, Federal University of Pernambuco Doctorate: Electronic Engineering and Computer Science, Federal University of Pernambuco Professor Maciel leads the MoDCS Research Group and has established himself as a leading expert in dependability engineering, stochastic modeling, and performance evaluation of computing systems. His research spans cloud computing, edge computing, software aging and rejuvenation, and reliability analysis of complex systems. His work demonstrates a consistent focus on developing mathematical models (particularly Markov chains and Petri nets) to evaluate system behavior under various conditions. Recent research extends into emerging areas including Metaverse infrastructure, drone surveillance systems, satellite communications, and smart agriculture applications. His publication record is impressive with 191 publications and 1,298 citations, showing remarkable productivity and impact across nearly three decades. His most recent work (2024-2025) continues to push boundaries in aging dependability of cloud-edge systems for digital twins, high availability quantification in Metaverse storage, and stochastic modeling of satellite systems. His research methodology consistently applies hierarchical modeling approaches to address complex system interdependencies. Professor Maciel has mentored numerous researchers who have become active contributors in the field, including doctoral students Paulo Pereira and several co-authors who appear in his recent publications. His collaborative network extends across Brazil and internationally, reflecting the global recognition of his expertise.
Sheldon Green is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. A licensed Professional Engineer (P.Eng.) and Fellow of both the American Society of Mechanical Engineers (FASME) and Canadian Academy of Engineering (FCAE), he maintains an active research program focused on industrial fluid mechanics applications. His work bridges academic rigor with real-world industrial challenges through extensive collaborations with major companies. Education: Bachelor of Applied Science (University of Toronto) Master of Applied Science (California Institute of Technology) Doctor of Philosophy (California Institute of Technology) Professor Green's research centers on fluid-structure interactions in industrial processes, with particular emphasis on railroad friction control systems, paper manufacturing mechanics, and energy recovery technologies. His laboratory develops experimental and analytical solutions for liquid friction modifier application on railroads, electrospraying techniques for moving surfaces, paper creping and pressing optimization, and advanced energy recovery ventilators. These investigations address critical industry challenges in fuel efficiency, product quality, and energy conservation through precise fluid mechanics understanding. Analysis of his recent publications reveals consistent focus on multiphase flows, fiber network mechanics, and heat/mass transfer phenomena. Key themes include cellulose fiber network modeling for tissue paper, moisture measurement in paper pressing, membrane behavior in energy exchangers, and liquid-solid interactions in railroad systems. His work demonstrates strong industry-academic synergy with nearly all studies involving partnerships with major industrial players. Accolades include: Dean’s Excellence in Service Award (UBC, 2017) Fellow of the American Society of Mechanical Engineers Fellow of the Canadian Academy of Engineering Member of The Technical Association of the Pulp and Paper Industry Professor Green secures substantial research funding through industry partnerships with LB Foster (rail friction systems), FP Innovations/Kruger Products/Solenis/Albany (paper creping), AstenJohnson (paper pressing), and Core Energy Recovery Solutions (ventilators). His academic collaborations span Professors Boris Stoeber, Neil Balmforth, Srikantha Phani, and Steven Rogak across mechanical engineering subdisciplines. While student names aren't published, his prolific output indicates active mentorship of graduate researchers. He directs the Applied Fluid Mechanics Laboratory (CEME 2058) where experimental facilities enable high-precision studies of industrial fluid phenomena, particularly in railroad and paper manufacturing contexts where fluid mechanics directly impacts operational efficiency and product quality.
Sale Lilly IV is a Senior Policy Analyst and Professor at the RAND School of Public Policy. His research focuses on China's economic development, soft power, crisis wargaming, and military systems optimization. He holds an M.A. in Economic and Social History and Modern Chinese Studies from Oxford University, and a B.S. in Economics from the U.S. Naval Academy. His career includes eight years as a U.S. Navy officer and prior work in management consulting designing crisis simulations for Fortune 500 firms. Research interests span geopolitical competition, military strategy, and defense industrial analysis. Recent work addresses Sino-Russian military cooperation, Taiwan defense strategies, and the role of digital currencies in U.S.-China competition. His articles often combine historical patterns with forward-looking scenarios, particularly analyzing PLA vulnerabilities and U.S. strategic responses. Notable contributions include frameworks for assessing defense industrial bases and evaluating military training efficacy in great-power conflicts. Though no formal awards are listed, his work frequently appears in high-impact RAND publications and informs policy discussions on Indo-Pacific security, cyber resilience, and innovation trends.
Hasan Seyyedhasani is an Assistant Professor at the School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University (Virginia Tech), where he holds a 60% research and 40% teaching appointment. His work bridges engineering and agriculture, focusing on smart farm ecosystems using robotics, automation, and data-driven technologies. Education: Ph.D. in Biosystems and Agricultural Engineering, University of Kentucky, 2017 M.S. in Electrical and Computer Engineering, University of Kentucky, 2017 M.S. in Mechanics of Agricultural Machinery, University of Tehran, 2010 B.S. in Mechanics of Agricultural Machinery, University of Tehran, 2006 His research interests center on precision agriculture , agricultural robotics , sensing systems , and AI-assisted smart farming . He develops engineering solutions to improve efficiency in both specialty and row crop production, with a focus on human-robot collaboration, input optimization, and sustainable productivity. His work integrates IoT, UAVs, and machine systems management. The analysis of his recent publications reveals a strong trend in field robotics , route optimization , and UAV-based monitoring . His research consistently applies computational models and real-world validation to solve practical agricultural challenges, particularly in harvesting, spraying, and fleet logistics. Key subfields include dynamic rerouting, human-robot interaction, and biomass localization using drones. Scientific Awards: No awards listed in the provided text. Advising and Grants: No formal advisees or students are listed. No grants or funding sources are mentioned. He has collaborated with faculty at the Center for Advanced Innovations in Agriculture and previously held research positions at UC Davis, University of Wisconsin-Madison, and Southern Illinois University. Labs and Teams: While no specific lab name is provided, his work is associated with smart farm and precision agriculture initiatives at Virginia Tech, likely involving interdisciplinary teams in agricultural engineering and data analytics.
Fernando J. T. E. Ferreira is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Coimbra since 2014. He has been a researcher at the Institute of Systems and Robotics since 1998 and previously served as Professor and Head of Department at the Engineering Institute of Coimbra (2001-2014). His career focuses on electrical engineering, energy efficiency, and motor design. University: University of Coimbra Department: Electrical and Computer Engineering Institution: Institute of Systems and Robotics Research Interests: Fernando's work centers on improving electric motor efficiency through winding configurations, fault diagnosis, and energy regeneration systems. He has explored voltage unbalance tolerance, motor reliability, and thermal management solutions for industrial applications. Article Trends: His recent publications (2016-2020) analyze motor efficiency optimization via winding redesign, fault detection algorithms, and energy recovery systems. Key themes include IEC standards compliance, thermal management, and predictive maintenance techniques. Contributions: With over 150 publications and 3000+ citations, Ferreira has contributed to IEEE journals and conferences on topics ranging from switched reluctance motors to photovoltaic power systems. He collaborates with Aníbal T. de Almeida and other engineers on industrial efficiency projects.
Hironori Washizaki is a Professor at Waseda University 's School of Fundamental Science and Engineering and a Visiting Professor at the National Institute of Informatics. He serves as IEEE Computer Society 2025 President and has led initiatives in software engineering, ML design patterns, and IoT systems. His work bridges academia and industry through roles at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., LTD. Research Interests: His work spans software engineering, quality assurance, ML/IoT design patterns, and education innovation. He leads the SmartSE professional education program and standardizes software engineering bodies of knowledge through ISO/IEC/JTC1/SC7/WG20 . Scientific Awards: Golden Core Member (IEEE CS) Spirit of Computer Society Award KDDI Foundation Award Science and Technology Award, MEXT Best Paper Awards at ICSE, CSEE&T, and IWESEP Leadership & Grants: He has secured major grants (JSPS, MEXT) and held editorial roles at IEEE Transactions on Emerging Topics in Computing, IJSEKE, and IEICE journals. As IEEE CS Japan Chapter Chair and SEMAT Japan Chapter Chair , he fosters international collaborations. Labs & Teams: He leads the Global Software Engineering Laboratory at Waseda, focusing on traceability, reuse, and quality. This lab drives projects like ProMeTA (program metamodel taxonomy) and Trace ANY (software maintenance metrics).
Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.
