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Henrik HolmbergView profile

Senior Lecturer

• Energy Efficiency
• Thermo-Mechanical Pulp Processing
• Machine Learning Optimization
• +3 more

Henrik Holmberg is a Senior Lecturer at Aalto University's School of Engineering, Department of Energy Technology. He holds a Doctoral degree in Engineering and Technology from Helsinki University of Technology (2007) and a Master's degree from the same institution (2000). His research focuses on energy efficiency in industrial processes, particularly in the forest industry's pulp production. Key areas include application of machine learning for optimization, thermal energy storage systems, and sustainable energy hub design. He has contributed to over 57 peer-reviewed publications since 2000, with recent work emphasizing data-driven approaches to refining processes and energy efficiency improvements. Holmberg is an editorial board member for academic journals and has conducted research visits at institutions like Chalmers University of Technology. His research aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG7) and responsible consumption (SDG12). Collaborations span multiple countries with a focus on industrial energy systems optimization.

• Sustainable Tourism Management
• Destination Marketing
• Tourism Technology
• +4 more

Iva Slivar is an Associate Professor at the Faculty of Economics and Tourism 'Dr. Mijo Mirković' in Pula, Croatia. She teaches courses on tourism marketing, innovation, and destination management, including 'Digital Tourism', 'Marketing of Innovation in Culture and Tourism', and 'Practicum'. Her research focuses on sustainable tourism development, destination competitiveness, technology integration in tourism, and consumer behavior analysis. Her work emphasizes innovative solutions for the tourism sector, including studies on AI ethics in smart tourism, inclusive accessibility planning, and post-pandemic hospitality trends. She has conducted comparative analyses of Croatia and Serbia's tourism competitiveness and explored wellness tourism branding strategies between Croatia and Malta. Her research also investigates generational differences in travel behavior, particularly among Gen Z and millennials. Slivar's publications cover topics ranging from heritage valorization through indoor camping models to the role of humor in destination marketing. She has contributed to frameworks for optimizing DMO communication strategies and assessing non-financial disclosures in tourism companies. Her work frequently intersects with policy implementation, corporate social responsibility, and stakeholder collaboration for sustainable development.

Andrew RobinsonView profile

Professor

• Biosecurity Risk Analysis
• Statistical Modeling
• Forest Analytics
• +7 more

Andrew Robinson is a Professor at The University of Melbourne, holding dual appointments in the School of BioSciences and the School of Mathematics and Statistics. As Director of the Centre of Excellence for Biosecurity Risk Analysis (CEBRA), he leads research on statistical and risk analysis for biosecurity threats, funded by Australian and New Zealand governments. His work bridges computational tools and natural resource management, with a focus on R programming and data-driven decision-making. Co-authored 4 influential books on R programming and biosecurity Developed icebreakeR, a popular R education resource Conducts workshops for scientists and policymakers Robinson's research spans biosecurity risk modeling, invasive species management, and statistical applications in forestry. His recent work emphasizes climate change impacts on agricultural yields, adaptive sampling strategies, and Indigenous leadership in biosecurity. He maintains active collaborations in data analytics and policy development. Selected Research Trends: Current projects focus on quantitative risk prioritization, climate change adaptation, and automated surveillance systems. Key subfields include computational biosecurity, stochastic modeling, and cross-jurisdictional policy frameworks. Robinson's laboratory, CEBRA, integrates multidisciplinary approaches to biosecurity challenges. His publications demonstrate expertise in statistical ecology, risk analytics, and policy simulation. He continues to develop R-based tools for practical applications in natural resources and biosecurity.

• Electrical Engineering
• Renewable Energy Systems
• Electric Vehicles
• +3 more

Jesús Diego Chouza Gestoso is a Professor in the Department of Industrial Engineering at the School of Engineering of Ferrol, University of A Coruña. His academic career spans over two decades with continuous teaching and research activities focused on electrical engineering and renewable energy systems. He is actively involved in multiple degree programs including Electrical Engineering, Industrial Technologies Engineering, and Electronic Engineering. His research interests focus on Renewable Energy Systems , particularly in electrical machines, energy efficiency, and sustainable applications. His work emphasizes practical implementations of renewable energy in residential buildings, marine applications, and electric mobility. He leads research in the 'Materials and renewable energy for engineering, environment and sustainability' group, investigating real-world applications of sustainable energy technologies. Analysis of his publication record reveals a strong focus on practical renewable energy applications , with particular emphasis on electrical machine design, energy management systems, and sustainable infrastructure development. His research consistently addresses Galicia's specific energy challenges, particularly coastal and marine renewable energy potential. Throughout his career, Professor Chouza Gestoso has supervised numerous bachelor's and master's theses focused on sustainable energy applications, including projects on electric vehicles, wind energy potential, and energy-efficient residential buildings. His teaching spans core electrical engineering subjects with specialization in electrical machines and renewable energy systems. His laboratory and research activities center around practical testing and implementation of renewable energy systems, with particular focus on electrical machine applications in marine environments and sustainable building projects. Current work appears to be advancing electric mobility infrastructure and offshore wind energy applications specific to the Galician coastline.

• Operations Research
• Scheduling Optimization
• Metaheuristics
• +11 more

Marino Widmer is a Full Professor and Head of the Department of Computer Science at the University of Fribourg, within the Faculty of Mathematics, Natural Sciences and Medicine. He is actively engaged in research and academic leadership, with a strong publication record in operations research, scheduling, optimization, and intelligent systems. His research interests span Operations Research, Scheduling Optimization, Metaheuristics, Artificial Intelligence, Machine Learning, Decision Support Systems, Supply Chain Management, Automated Driving, Human-Computer Interaction, Workforce Planning, and Industrial Engineering . His recent work focuses on human factors in automated driving, including physiological monitoring, takeover quality prediction, and multimodal interfaces for driver support. The analysis of his recent publications reveals a strong trend toward interdisciplinary research combining AI, human factors, and industrial applications, particularly in transportation and public sector management. His work integrates machine learning with physiological data to improve safety in automated vehicles and applies decision analysis to real-world organizational challenges. Awarded no explicitly mentioned scientific awards. He has advised researchers such as Agneta Ramosaj and Francesca Venteicher and has been involved in projects related to fire department mergers, sales forecasting, and AI companions for drivers. While no specific grants are mentioned, his extensive publication output suggests sustained research funding. He leads the Department of Computer Science and is involved in interdisciplinary collaborations across engineering, psychology, and public administration. Marino Widmer is affiliated with the Institute for Automation and Operations Research at the University of Fribourg and has collaborated with institutions in Canada, France, and across Europe. His research has practical applications in manufacturing, transportation, and public service optimization.

• Information Systems
• Software Engineering
• Database Management
• +4 more

Christian VIGOUROUX is a Lecturer at IGR-IAE Rennes, part of the University of Rennes. He specializes in Information Systems and Software Engineering, focusing on practical applications such as Business Intelligence, Mobile Development, and Automation. His academic roles include managing the Master 1 and Master 2 programs in Management Control and Organizational Audit, both in initial and work-study formats. His research and educational activities span courses in Spreadsheet Management, Database Systems, Statistics, Accounting Information Systems, Algorithmic Programming, and Software Architecture. He also covers modern topics like Teleinformatics, IT Project Management, Business Intelligence, and AI (Machine Learning/Deep Learning). Professionally, he has over 20 years of experience in IT consulting and project development, using tools like Pentaho, Talend, SAP Business Objects, and frameworks such as Java, Ionic, and RPA technologies. His publications include books on JavaScript, Mobile Development, and Robotic Process Automation, published by Editions ENI.

Tan Choon LingView profile

Lecturer

• Information Technology
• Autonomous Robotics
• Computer Science
• +3 more

Tan Choon Ling is a Lecturer at the Malaysia School of Information Technology, Monash University. Their research spans IT audit quality, ICT adoption in manufacturing, and autonomous robotics with a focus on SLAM and computer vision. They have contributed peer-reviewed work on audit methodologies, manufacturing technology integration, and robotic navigation systems using CBIR techniques. Research outputs include articles in journals like Communications of the IBIMA and Australian Journal of Intelligent Information Processing Systems , and book chapters in Springer's Neural Information Processing . Key research interests involve bridging theoretical frameworks with practical applications in robotics and information systems. Their work addresses challenges in audit quality determinants, organizational barriers to ICT adoption, and real-time navigation algorithms for autonomous systems. Publications demonstrate a trend toward interdisciplinary solutions combining robotics engineering with information technology challenges. Grants and advising roles are not explicitly detailed in available records. No notable scientific awards have been identified.

Tobias GuggemosView profile

Professor

• Controlling in digital business models
• Customer value analyses
• Cost accounting in service companies

Prof. Dr. Tobias Guggemos is a Professor of General Business Administration, specializing in Internal Accounting, at Fulda University of Applied Sciences since 2021. His academic career spans roles as an external lecturer at multiple universities (2016–present) and a research assistant at the Technical University of Dortmund (2010–2014). He earned his doctorate in 2014 with a dissertation on 'Customer Success Calculations as an Instrument of Customer Value Analysis in the Industrial Goods Sector.' Teaching Areas: Management Accounting, Controlling, Business Analytics Academic Affiliation: Fulda University of Applied Sciences; previously associated with Technical University of Dortmund and Steinbeis Network His research focuses on Controlling in digital business models , Customer value analyses , and Cost accounting in service companies . Recent publications highlight the intersection of Controlling and Data Science, digital transformation in corporate governance (e.g., CSRD implementation), and sustainability assessment using decision-theoretic models like the Analytic Hierarchy Process. His work bridges theoretical frameworks with practical applications in industries such as logistics (Deutsche Post DHL) and consulting (KPMG, PwC). Key trends in his publications include: Empirical analysis of data science integration in Controlling Challenges in regulatory compliance (CSRD) and business process adaptation Quantitative methods for sustainability and customer value optimization In his professional career (2014–2021), he held roles such as Head of Finance Master Data at Deutsche Post DHL Group and project manager in the Steinbeis Network, focusing on automated reporting and consulting. His CV reflects strong ties between academic research and industry practice. He can be contacted at tobias.guggemos@w.hs-fulda.de and is based in Room 33, Building 23, Leipziger Straße 123, Fulda, Germany.

Peter PopovView profile

Researcher

• Software Reliability
• System Dependability
• Software Fault-Tolerance
• +5 more

Peter Popov is a Reader at the Centre for Software Reliability (CSR) , City St George's, University of London , where he has been employed since 1997. He specializes in software dependability , fault tolerance , and stochastic modeling of critical infrastructures. Before his current position, he was an Associate Professor at the Bulgarian Academy of Sciences (1990-1997) and a Research Fellow at City St George's. Peter's academic journey began with a PhD in Computer Science from the Kiev National University of Technologies and Design (1989), following his BEng in Computer Engineering from the National Technical University of Ukraine (KPI, 1982). He has worked as a visiting scientist at renowned institutions including the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign , LAAS-CNRS in Toulouse, and Duke University . His research interests span Software reliability assessment System dependability Software fault-tolerance Performance evaluation Interdependencies of critical infrastructures He has contributed extensively to projects such as ReSIST , IRRIIS , DISPO , and AFTER , focusing on the dependability of composite systems and critical infrastructure resilience. Key publication trends reveal expertise in Stochastic modeling of autonomous vehicle safety Software diversity for fault tolerance Interdependency analysis in critical systems Bayesian reliability assessment Performance evaluation of distributed protocols Security implications in cyber-physical systems Peter has supervised several PhD students , including those researching autonomous vehicle resilience , safety assurance with ML components , and adaptable web services . His professional activities include serving on program committees for ISSRE , SAFECOMP , and EDCC conferences, as well as editorial contributions to CEUR Workshop Proceedings . He is proficient in Bulgarian , English , and Russian , with peer-review capabilities in all three languages.

Roberto SenigagliaView profile

Professor

• Private Law
• Contract Law
• Family Law
• +3 more

Roberto Senigaglia is a Full Professor of Private Law at the Department of Economics, Ca' Foscari University of Venice. As President of the Disciplinary Board and Vice Director of the Department (2020-2023), he combines academic leadership with research in contract law, family law, and human rights intersections. His work spans Private Law Methodology Child and Family Legal Protection Data Governance European Legal Harmonization Research focuses on fundamental rights impact on private relationships , with specific attention to digital law , minors' contractual capacity , and smart contracts . Recent projects include UNI4JUSTICE (judicial process digitization) and PADS4Health (health data privacy). His scientific work appears in 15+ publications (2021-2025) across Family Law AI and Legal Systems Data Protection Comparative Contract Law sectors. Awards include the 2023 Premio IDIBE for monographic excellence and multiple research incentives for A-rated journal publications. Active in academic governance, he serves on editorial boards of Ephemerides Iuris Canonici FAMILIA Jus Rivista and evaluates national research programs through CINECA. Supervises bachelor/master theses on contractual balance , digital rights , and family law modernization .

Eleni Ekaterini LeligouView profile

Professor

• Computer Networks
• Industrial Web Server Applications
• Blockchain Technology
• +7 more

Professor Eleni Ekaterini Leligou is a full-time faculty member at the University of West Attica , serving in the Department of Industrial Design and Production Engineering since November 2017. Previously, she taught at the Technological Educational Institution of Central Greece (2007–2017) and was a research associate at the National Technical University of Athens (1998–2007). Education Diploma in Electrical and Computer Engineering, National Technical University of Athens (1995) PhD in Electrical and Computer Engineering, National Technical University of Athens (1998–2002) – thesis graded “Excellent” Research Interests Her work lies at the intersection of computer networks, blockchain, Internet of Things, and artificial intelligence with a strong emphasis on industrial and energy-management applications . Specific themes include trust and routing protocols for sensor networks, FPGA-based acceleration of network algorithms, blockchain-enabled network security, IoT solutions for smart energy systems, and federated-learning models for maritime energy optimisation. Teaching Contributions At undergraduate level she delivers core courses on Internet Technology in the Digital Industry, Cloud Computing Engineering and Data Security and Protection . At postgraduate level she contributes to four distinct programmes: Artificial Intelligence and Deep Learning (inter-departmental MSc), Information Systems (Hellenic Open University), Production and Service Automation , and New Technologies in Shipping and Transportation . Publications Overview Her 2024–2025 scholarly output demonstrates an aggressive push toward next-generation networks (6G, LiFi, RIS), blockchain integration in diverse domains (gaming, supply-chain, PLC security), and AI/ML methodologies ranging from federated learning to GAN-based image generation, all applied to industrial, maritime and educational contexts. Laboratory & Teams She conducts her research within the Computational Intelligence and Intelligent Systems Laboratory – EYNES , leading projects that blend networked embedded systems, AI and blockchain technologies.

• Machine Learning
• Deep Learning
• Pattern Recognition
• +6 more

Angelina Njegus is a Full Professor at Singidunum University , where she has worked since 2005. She holds a Ph.D. in Business Studies and has extensive experience in both academia and industry, including consulting for IBM. Her research focuses on machine learning algorithms , deep learning , and Big Data Analytics , with applications in pattern recognition , tourism technology , and blockchain systems . Bachelor's: Faculty of Organizational Sciences, Information Systems (1994) Master's: Faculty of Organizational Sciences, Industrial Engineering (1999) Doctoral: Faculty of Business Studies (2003) Her recent publications (2023-2025) demonstrate expertise in metaheuristic optimization for machine learning, audio-visual emotion recognition , and cryptocurrency applications in tourism . She pioneered the Virtual University platform (MTVU) and contributes to agile methodologies in software development. Collaborations include projects with researchers from IEEE, Springer, and international institutions. Research interests span AI ethics in human resources , IoT integration in tourism , and security risks in cloud computing . Her work appears in journals like Complex & Intelligent Systems and conferences including ICPR and FG 2017 . She has authored books on software design patterns and information systems in tourism .

Michal Zbigniew PomianowskiView profile

Associate Professor

• Energy Engineering
• District Heating Systems
• Building Energy Performance
• +4 more

Michal Zbigniew Pomianowski is an Associate Professor at the Department of Construction, Urban and Environmental Engineering, Faculty of Engineering and Science, Aalborg University. His primary research focus lies in energy systems within buildings, with specific expertise in district heating, thermal comfort, and energy performance optimization. Research Group for Energy in Buildings Key projects: PRELUDE, EDYCE, IDCS His work spans energy informatics, building physics, and sustainable urban infrastructure. Recent publications emphasize fault detection in district heating systems, thermal comfort analysis, and real-time energy optimization. Scientific awards include the prestigious Årets underviser (Year's Teacher) in 2018. He contributes to energy datasets, serves as principal investigator in multiple projects, and actively participates in international conferences like AIVC and Applied Energy.

Michael EkstrandView profile

Assistant Professor

• Recommender systems
• Information retrieval
• Algorithmic fairness
• +5 more

Michael Ekstrand is an Assistant Professor in the Department of Information Science at Drexel University's College of Computing & Informatics, where he leads the INERTIA Laboratory (Impact, Novation, Effectiveness, and Responsibility of Technology for Information Access). His research blends information retrieval, human-computer interaction, and machine learning to ensure AI-powered information access systems (e.g., recommender systems) promote equity and societal well-being. Previously, he co-led the People and Information Research Team (PIReT) at Boise State University. Education : PhD in Computer Science (University of Minnesota, 2014), BS in Computer Engineering (Iowa State University). Research Focus : Ekstrand's work centers on fairness-aware algorithms, social impact quantification, and ethical AI deployment. Key themes include: Algorithmic bias mitigation in recommender systems User behavior modeling in information access Cross-disciplinary approaches to AI ethics Evaluation methodologies for equitable systems Publication Trends : His recent articles (2020-2025) demonstrate a strong focus on algorithmic fairness, particularly gender bias in information systems, statistical evaluation rigor, and user behavior analysis. Over 50% of his latest works directly address fairness metrics or bias mitigation strategies. Advising & Grants : Actively mentors PhD students (e.g., Samira Vaez Barenji, Sushobhan Parajuli) and has supervised 11+ graduate researchers. Secured NSF CAREER funding for projects on recommender systems' societal impact. Leadership : Maintains LensKit (open-source recommender toolkit), holds roles in ACM RecSys/FAccT conferences, and directs the INERTIA lab focusing on responsible information access technologies.

Matt SyalView profile

Professor

• Construction Project Management
• Sustainable/Green Construction
• Housing
• +5 more

Matt Syal is a Professor of Construction Management at Michigan State University's School of Planning, Design and Construction , with an additional appointment as Adjunct Professor in the Department of Civil and Environmental Engineering. He coordinates the Construction Management master's program and serves as advisor to Sigma Lambda Chi. Holding a PhD in Civil Engineering from Penn State University (1992), he also earned advanced degrees from the University of Kansas (1986) and New Delhi's School of Planning and Architecture (1982). Education: 1992 PhD Civil Engineering (Construction), Penn State; 1986 MS Architectural Engineering, University of Kansas; 1982 MS Building Engineering, School of Planning and Architecture; 1979 BS Civil Engineering, University of Delhi With over 30 years of academic experience (since 1988), Syal brings unique international expertise from industry work across India, the Middle East, and Africa. His research focuses on Construction Project Management , Sustainable Built Environment , and Housing , particularly examining green construction practices and cross-cultural implementation challenges. His research portfolio includes over 50 funded projects totaling millions in grants from agencies like the National Science Foundation, EPA, and Fulbright Commission. Notable initiatives include the Housing Education and Research Center , Sustainable Construction Management Initiative , and multiple US-India collaborations . Syal's work with international organizations has produced comprehensive training frameworks for electrical contractors and BIM implementation guides for small firms. As a published researcher with over 100 refereed papers and 50 technical reports , his recent work explores machine learning applications for energy consumption prediction, deconstruction economics , and smart grid technologies in housing. Current projects examine urban infrastructure revitalization , climate change mitigation through building codes, and international joint venture models for sustainable construction. Scientific Awards: Fulbright Senior Specialist (2011-2012) Fulbright Senior Research Scholar (2000-2001) Center for Advanced Studies Visiting Chair (2010-2011) Professional Certifications: LEED Accredited Professional Certified Professional Constructor Certified Green Professional Syal's advisory experience spans over 25 organizations including major government agencies and industry groups in the US, India, and Korea. He has developed executive training programs for companies like Takenaka Corporation in Japan and provided technical guidance for initiatives like the Riguardi Fellowship and Al Scott Endowment.