Samuel Kounev is a Professor and Chairholder of the Chair of Software Engineering (Computer Science II) at the University of Würzburg's Department of Computer Science. He has held leadership roles, including Faculty Dean (2019-2021) and Head of the Department of Computer Science (2016-2017). His research focuses on software engineering, performance engineering, and autonomic computing, with contributions to cloud computing, cybersecurity, and machine learning. He actively participates in international conferences, including co-chairing the ACM/SPEC International Conference on Performance Engineering (ICPE) and leading initiatives like the DFG Research Unit SOS and bidt Consortium Project ROOT. His work emphasizes real-time systems, benchmarking, and interdisciplinary applications in earth observation and healthcare. Education: Not explicitly listed in provided text. Research Interests: Software Engineering, Performance Engineering, Autonomic Computing, Cloud Computing, Cybersecurity, Machine Learning, High-Performance Computing. His recent articles explore topics like homomorphic encryption, time series forecasting, and AI in healthcare. He is an editorial board member of journals like Elsevier's Performance Evaluation and co-founder of the ICPE and ACSOS conferences. Awards and recognitions are listed on separate pages, but his leadership roles and extensive conference involvement highlight his academic impact.
Nikolas Herbst is a Professor and Chair of Software Engineering at the Department of Computer Science, University of Würzburg. He leads research in Software Performance Engineering, High-Performance Data Processing, and Autonomic Computing. His work focuses on Cloud and Serverless Computing, Elasticity, and Time Series Analysis. He currently serves as JMU Chief Information Security Officer (CISO) and holds leadership roles in SPEC Research Groups and ICPE Steering Committees. Education: PhD in Computer Science (Karlsruhe Institute of Technology, 2018) Master of Computer Science (Karlsruhe Institute of Technology, 2012) Research Interests: His lab develops tools like CHAMELEON, TELESCOPE, and BUNGEE for cloud elasticity and performance analysis. He emphasizes benchmarking, resource demand estimation, and self-aware systems. Recent projects include real-time forest monitoring (ROOT) and serverless scientific computing (SOS). Teaching: Teaches Operating Systems, Performance Engineering & Benchmarking, and Self-Aware Computing at both undergraduate and graduate levels since 2012. Awards: 10 Year Most Impact Paper Award (ACM/SPEC ICPE 2023) SPEC Kaivalya Dixit Distinguished Dissertation Award (2019) IBM PhD Fellowship (2014) Grants & Projects: Coordinates DFG-funded projects like bidt-ROOT (2023–2026) and SOS (2025–2029). Leads development of open-source tools for cloud performance analysis, including WCF (Workload Classification & Forecasting).
Manuel Alejandro Pajuelo González is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture and the School of Computer Science. His research focuses on Performance measurement Operating systems Virtualization Thread assignment in multithreaded processors Recent publications show strong trends in RISC-V architectures, cybersecurity, and performance optimization. Key themes include Hardware virtualization Intrusion detection frameworks Statistical thread assignment approaches Spin-lock overhead analysis Scientific awards include BDigital Global Congress 15ª Edició Computación de Altas Prestaciones VI HiPEAC Paper Award He participated in multiple competitive R&D projects, including the DRAC project focused on RISC-V accelerators for next-generation computing.
Josep Lluís Berral García is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Polytechnic University of Catalonia · BarcelonaTech (UPC). He is actively engaged in teaching and research, with a strong focus on Artificial Intelligence, Cloud Computing, and sustainable computing practices. He leads innovative educational initiatives and is affiliated with the CROMAI research group and the Barcelona Supercomputing Center (BSC-CNS). Research Interests: Artificial Intelligence and Deep Learning Cloud and High-Performance Computing Resource Orchestration and Management Sustainable and Ethical AI AI Education and Pedagogy His recent research and teaching projects center on integrating sustainability and ethical responsibility into AI education, using active learning methodologies. The trend in his work shows a consistent focus on optimizing computing resources through AI, particularly in cloud and HPC environments, with increasing emphasis on environmental impact and responsible innovation. Scientific Awards: UPC Award for Quality in University Teaching 2025 (Teaching Initiative for Newly Recruited Professors) Advising and Grants: While specific students are not listed, his leadership in competitive R&D+i projects and innovation initiatives indicates active supervision and grant-funded research. His involvement in multiple competitive and non-competitive R&D projects demonstrates sustained funding and research leadership. Labs and Teams: He is a key member of the CROMAI (Computing Resources Orchestration and Management for AI) research group at UPC and maintains a strong collaborative link with the Barcelona Supercomputing Center (BSC-CNS), leveraging the MareNostrum supercomputing infrastructure for AI and systems research.
Hilary Egan serves as a Researcher IV in Data Science within the Computational Science division at the National Renewable Energy Laboratory (NREL), applying advanced computational techniques to solve critical renewable energy challenges. With expertise spanning artificial intelligence and high-performance computing, Egan bridges theoretical computational methods with practical energy applications. Egan's research interests encompass deep learning, high-performance computing, multi-fidelity methods, uncertainty quantification, statistical inference, and differentiable simulations. Their work particularly focuses on connecting computational simulations with experimental data, improving energy efficiency of data centers, and advancing autonomous laboratory technologies for renewable energy applications. With a consistent upward trajectory in research output from 2017-2025, Egan's recent publications reveal a strategic emphasis on practical AI applications for energy systems. The 2025 publications demonstrate significant contributions to making AI more transparent and applicable for renewable energy integration, data center optimization, and computational scale-up problems. Holding a PhD in Astrophysics and Planetary Science from the University of Colorado Boulder and a Bachelor's in Physics from Michigan State University, Egan brings strong theoretical foundations to interdisciplinary energy research challenges.
Rob Broekmeulen is an Assistant Professor at the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). He also teaches Demand & Supply Chain Management at Erasmus University Rotterdam, though no explicit part-time designation is mentioned. His research focuses on operations management in retail supply chains with a specialization in perishable goods. Retail supply chain optimization Perishable inventory control Warehouse management systems His work addresses challenges in balancing cost-effectiveness with sustainability in retail environments. Key contributions include the Estimated Withdrawal & Aging (EWA) policy for perishables and analyses of excess shelf space utilization to smooth supply chain workloads. His research integrates microbiology knowledge to address food quality issues in logistics design. Scientific publications demonstrate expertise in inventory modeling, including stochastic demand systems , batch ordering , and lost sales approximation methods. Articles show consistent focus on reducing food waste through improved inventory policies while maintaining service levels.
Vishnu Prabhu is an Assistant Professor at the University of Central Florida , affiliated with the School of Modeling, Simulation and Training. His research focuses on data-driven decision-making in healthcare , health systems modeling , and IoT solutions to improve patient, clinician, and system outcomes. He previously served as an Assistant Professor at UNC Charlotte. Prabhu employs simulation and stochastic modeling to tackle public health challenges such as Emergency Department Crowding and Healthcare-Acquired Infections . He also explores Extended Reality (AR/VR) , wearables , and non-pharmacological interventions for pain and mental health management, conducting multiple clinical trials in these areas. His recent publications and projects emphasize hybrid modeling , digital health tools , and workforce optimization in healthcare systems. Prabhu has secured grants for initiatives like ED-SHIFT (NIOSH/CDC) and AI applications for pneumonia detection (NSF SBIR). Education : Ph.D. and M.S. in Industrial Engineering (Clemson University), B.Tech. in Mechanical Production Engineering (University of Kerala). Projects : Co-Investigator for ED-SHIFT, Principal Investigator for AI-driven pneumonia detection, Co-Founder of NSF SBIR Phase I.
Hailong Cui is an Assistant Professor in the Supply Chain and Operations Department at the Carlson School of Management, University of Minnesota . He holds affiliated faculty roles in the university's Industrial & Systems Engineering Department and Institute on the Environment . PhD in Data Sciences and Operations (2020), USC Marshall MS in Statistics (2010), Arizona State University BS in Mathematics (2006), POSTECH, South Korea Dr. Cui's research focuses on supply chain sustainability , leveraging optimization, game theory, structural estimation , and machine learning to develop mechanisms for environmental sustainability while improving economic efficiency and addressing consumer/small business inequities. His expertise spans product returns management , online grocery delivery systems , and statistical machine learning applications in operations. His publications in Management Science , Manufacturing & Service Operations Management , and European Journal of Operational Research demonstrate recurring themes in emission allocation , return policy design , and material recycling optimization . The research often integrates multi-stakeholder coordination and data-driven decision-making . Dr. Cui brings industry experience from financial institutions American Express and HSBC , complementing his academic work with practical insights into operational challenges.
Prof. Mark Keane has served as Chair of Computer Science at University College Dublin since 1998. A cognitive psychology expert with a PhD from Trinity College Dublin, his career spans multiple institutions including the University of London, Open University, Cardiff University, and TCD. He has held leadership roles such as Director of ICT at Science Foundation Ireland (2004-2006) and Director General at SFI (2006-2007), overseeing €700M+ research investments. His work focuses on explainable AI, counterfactual reasoning, and sustainable agriculture applications. BA (UCD), PhD (TCD) in Cognitive Psychology Over 200 publications, H-index 45, 10,800+ citations Key advisor for Ireland's €3.7B Science, Technology & Innovation Strategy His research explores counterfactual explanations , semi-factual reasoning , and XAI in domains like dairy farming and climate resilience. Recent work combines machine learning with cognitive models to improve grass growth prediction and mastitis detection . He also investigates surprise theory through computational models. As Vice-President of Innovation & Partnerships at UCD (2007-2009), he drove academic-industry collaborations. Current affiliations include the Insight Centre for Data Analytics, where he leads AI research teams advancing case-based reasoning and deep learning integrations for explainable systems.
Professor Sebastian Kummer is a distinguished academic and practitioner in the field of transport and logistics management. Currently serving as Head of the Institute for Transport and Logistics Management at Vienna University of Economics and Business (WU Vienna), he has shaped the field through both academic research and practical applications since joining WU in 2001. His academic journey began with studies in economics and philosophy at the University of Tübingen (1982-1984) and business administration at the University of Cologne (1984-1987), followed by doctoral and habilitation work at WHU Otto Beisheim School of Management. His professional path uniquely combines academic rigor with industry experience, having served as CEO of Zahnradfabrik Unna GmbH from 1989-1993 before transitioning to academia with a professorship at TU Dresden (1997-2001). Professor Kummer's research spans transport industry, mobility management, logistics controlling, supply chain management, sustainable mobility, and digitization. His work bridges theoretical frameworks with practical applications, particularly evident in his development of the 'Kummertabellen' for truck toll calculation, which became an industry standard across multiple European countries. His recent research focuses on carbon management in supply chains, digital transformation in logistics, and urban mobility solutions. With 555 publications including 10 leading textbooks, Professor Kummer has established himself as a prolific scholar whose work informs both academic discourse and industry practice. His publication trend shows consistent output over decades, with recent works increasingly addressing sustainability challenges in transport and supply chains. Red Arrow 2022 infrastructure award from Future Business Austria Silver Honorary Pin from the Austrian Federal Association of Logistics (2017) Emerald Literati Network Outstanding Paper Award 2022 WU Vienna Excellence in Teaching Award (2013) Alexander Freud Medal (2007) Honorary member of the Austrian Transport Science Society (2017) Professor Kummer maintains strong industry connections, having consulted for major companies including Deutsche Bahn, Siemens, and Red Bull. He leads numerous research projects (201 total, with 102 currently active) and serves in leadership roles including President of the German Arbitration Court for Logistics and Head of the Austrian BVL. His work exemplifies the integration of academic research with practical problem-solving in the transport and logistics sector. His institute serves as a hub for both teaching and applied research, with Professor Kummer directing the university course in logistics and supply chain management while maintaining active collaborations with industry partners across Europe. He has developed several educational programs including the Professional MBA Mobility Management at WU in cooperation with Porsche Holding and the MBA Supply Chain Management at ETH Zurich.
Lynn Shehab is an Assistant Professor in the Civil and Environmental Engineering Department at the University of Alberta's Faculty of Engineering. Her research and teaching focus on construction management, integrating human-centered design principles, wearable technologies, and simulation models to enhance project planning, control, and workforce well-being. Research Interests: Current work emphasizes Lean Construction 4.0, agent-based simulation for analyzing team dynamics, and the application of wearable sensors to bridge cognitive and physiological aspects of construction labor. She explores innovative metrics like the Last Planner System (LPS) for resource allocation and gamification to improve project control. Publications: Recent articles investigate chaos theory in project management, psychophysiological impacts on construction crews, and digital human modeling for workload estimation. Her studies span simulation frameworks, improvisation in planning, and post-disaster reconstruction strategies (e.g., Beirut port explosion case study). Courses: She teaches CIV E 406, which covers construction estimating, planning, and control, including risk analysis and bid preparation.
Chen Ling is an Associate Professor in the Mechanical Engineering Department at the University of Akron 's College of Engineering and Polymer Science. Formerly an Assistant Professor at the University of Oklahoma's Department of Industrial and Systems Engineering, her work focuses on cognitive systems engineering and human decision-making in aviation and weather systems , with funding from the FAA, NSF, DOT, and DOC. Ph.D. in Industrial Engineering, Purdue University (2006) M.S. in Industrial Engineering, North Carolina A&T State University (2001) B.S. in Aeronautics and Astronautics, Beijing University of Aeronautics and Astronautics (1996) Her research explores human-computer interaction , weather risk communication , and ergonomics , particularly in aviation and severe weather contexts. Recent work examines probabilistic hazard information (PHI) systems for tornado warnings, forecasters' mental workload, and collaborative weather warning protocols. She employs simulation modeling, cognitive task analysis, and usability experiments to enhance safety in complex systems. Key trends in her publications include: Development of FACETs-era convective warning systems Integration of automated guidance in National Weather Service operations Human performance assessment using EEG and wearable sensors Usability optimization for weather displays and paratransit applications Dr. Ling is a member of the Human Factors and Ergonomics Society (HFES) and the Institute of Industrial Engineering (IIE) , with research spanning from 2006 to 2025 across journals like Behavior and Information Technology and International Journal of Human-Computer Studies .
Émilie Giguère serves as Associate Professor at Laval University's Faculty of Education, School of Counselling and Guidance, where her research examines women's career development, digital transformation impacts on work, and professional integration challenges. Her work bridges academic theory with practical workplace interventions through the Research and Intervention Centre on Education and Working Life (CRIEVAT). Her educational foundation includes: Master's degree in Career Guidance from Laval University (2014) Doctorate in Guidance Sciences from Laval University (2020) Professor Giguère investigates how women navigate managerial roles amid technological disruption, focusing on career progression barriers, work-life integration, and the psychological impacts of digital transformation. Her qualitative research reveals how organizational structures create invisible work burdens and how hyper-efficiency expectations affect female executives. She examines digital transformation through employee perspectives, identifying how automation reshapes support staff roles while creating new career dilemmas. Her scholarly contributions have earned recognition including the Emerald Literati Award of Excellence (2019). Current research initiatives explore: Professional integration of young managers across life domains Workplace accident return-to-work policies Women's adaptation to digital transformation in insurance sectors As principal investigator on SSHRC-funded projects and co-researcher on multiple interdisciplinary grants, she connects academic research with workplace interventions. Her teaching spans undergraduate courses on human labor psychology to graduate internships in humanistic-existential counseling, emphasizing practical applications of career development theories. Through CRIEVAT, she contributes to program development and social justice initiatives in education, maintaining an active research profile that bridges gender studies, organizational psychology, and career counseling.
Bernard Wentzel serves as Full Professor in the Department of Teaching and Learning Studies at Laval University's Faculty of Education. His research examines critical intersections between teacher professionalization, reflective practice development, and education governance systems. Current leadership roles include Co-director of the Interuniversity Research Centre on Teacher Training (CRIFPE) and founding co-director of the Observatory of Teaching Professions. Research expertise spans: Professional integration mechanisms for novice teachers Policy responses to teacher shortages through attractiveness analysis Comparative governance models in Swiss and Quebec education systems Development of research-practice integration frameworks His work demonstrates consistent focus on translating theoretical insights into practical solutions for systemic educational challenges. Active research programs reveal strong emphasis on collaborative approaches to address teacher retention, with multiple projects examining how workplace recognition systems impact staff engagement. Recent publications show increasing internationalization of research scope, with growing comparative analyses across French-speaking educational contexts. As Principal Investigator on major SSHRC and FRQSC grants, he maintains robust funding for graduate student involvement. His supervision approach emphasizes direct project participation, particularly in large-scale initiatives like the National Survey of Teacher Training Students. The CRIFPE network provides exceptional pathways for international research exposure. Wentzel directs the 'Work of Teaching Professions' research axis, which examines how daily teaching practices interact with formal training and policy mandates. This lab focuses on developing practical tools for professional development while maintaining strong connections to education ministries for policy impact.
Héctor Gibrán Ceballos-Cancino serves as Director of the Living Lab & Data Hub of the Institute for the Future of Education (IFE) at Tecnologico de Monterrey and is a full-time faculty member of the Computer Science Graduate Program (DCC). Previously, he led the Scientometrics office at the Research Vice-Rectory of Tecnologico de Monterrey for 18 years, establishing himself as a key figure in research evaluation at the institution. His educational background includes: Computer Systems Engineer from Instituto Tecnológico De Veracruz Master of Science with specialization in Intelligent Systems from Tecnologico de Monterrey PhD in Information Technology and Communications from Tecnologico de Monterrey (2010) Dr. Ceballos-Cancino's research program bridges artificial intelligence with practical applications in education and organizational contexts. His work spans Social Network Analysis, Machine Learning, Process Mining and Agent theory, applied specifically to Research Analytics and Educational Data Mining. He has developed significant expertise in applying AI techniques to solve real-world problems across multiple domains, with particular focus on educational improvement and research evaluation. Analysis of his recent publications reveals a strong trajectory toward quantum machine learning applications for education, learning analytics in Latin American contexts, and sophisticated student success prediction models. His work demonstrates consistent innovation in applying advanced computational techniques to educational challenges, while also maintaining strong contributions to scientometrics and building technology applications. His scientific recognition includes: Premio Tecnos 2023 conferred by Gobierno de Nuevo León Mexican Researcher Certification - Level 1 Member of the Mexican National System of Researchers (SNI) Adherent member of the Mexican Academy on Computing (AMEXCOMP) Dr. Ceballos-Cancino has supervised thesis work as evidenced by his teaching activity in 'Design of Intelligent Agents Thesis II.' His research has been supported by institutional initiatives at Tecnologico de Monterrey, including predictive analytics platforms for public administration evaluation. He has also provided expert consulting services for banks and IT companies, and promoted Semantic Web technologies adoption across multiple sectors. As Director of the Living Lab & Data Hub, he leads initiatives focused on 'Engaging and Motivating Learning Models,' connecting his technical expertise with educational innovation. His work aligns with multiple UN Sustainable Development Goals, particularly Quality Education (SDG 4) and Industry, Innovation and Infrastructure (SDG 9), demonstrating his commitment to technology for social impact.
