Maria João Maia is a Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) of the Karlsruhe Institute of Technology (KIT). She leads the CLIMOS project on climate-driven disease surveillance and co-supervised a dissertation on Responsible AI at Universidade Nova de Lisboa. Her work spans health technology assessment, medical robotics, and responsible innovation. Education: PhD in Technology Assessment (2020, UNL), Master in Health Policy (2005, University of Évora/ESTeSL), Radiology Degree (2002, ESTeSL) Her research focuses on Health Technology Assessment , Medical Robotics , Stakeholder Engagement , and Climate-Health Intersections . Recent articles explore AI ethics (2025), climate risk modeling (2024), and assistive technology inclusivity (2020). Scientific Leadership includes coordinating the Portuguese TA network's Health TA Working Group and contributing to EU standards for responsible innovation. She advises on CLIMOS climate-health policy and CoCoAI medical AI frameworks, with grants from Horizon Europe and KIT.
Prof. Dr. Imke Keimer is a Professor at the Lucerne University of Applied Sciences and Arts (Hochschule Luzern) in the Department of Economics within the Business School. She is based at the Campus Zug-Rotkreuz and works at the Institute for Financial Services Zug (IFZ) in the CC Controlling (IFZ CO) division. Her work focuses on the intersection of digital transformation and financial management, particularly in the field of controlling. Her educational background includes: 2016: Appointed Professor at Lucerne University of Applied Sciences and Arts 2013: Certificate in University Teaching, Lucerne University of Applied Sciences and Arts 2011: Financial Risk Manager (FRM), Global Association of Risk Professionals (GARP) 2005-2009: Dissertation (Dr. rer. oec.), University of Bern, Topic: "Accounting Policy, IT Investments and the Strategic Orientation of Cost Management - Empirical Work in the Field of Accounting" (summa cum laude) 1999-2005: Studied Business Mathematics (M.Sc.), Technical University of Dortmund (overall grade: very good) Prof. Keimer's research primarily centers on digital transformation in controlling, business analytics, and agile finance. She has developed frameworks for assessing digital maturity in controlling functions and has pioneered approaches to integrate agile methodologies into financial management. Her work bridges theoretical research with practical applications, often through collaborations with industry partners. She has established herself as a thought leader in how digital technologies are reshaping the controller role from traditional accounting functions toward strategic business partnership. Her recent publications reveal a clear trajectory from foundational research on digital controlling frameworks toward more specific applications in sustainability, agile methodologies, and educational technology. The articles show increasing focus on practical implementation challenges, with notable attention to sustainable business practices and the evolving role of controllers in complex organizational environments. Her work consistently emphasizes the human dimension of digital transformation - how skills, mindsets, and organizational culture must evolve alongside technological changes. Scientific awards and recognitions include: Publication Award 2021 in the "Teaching" category for "PLAYMOBIL pro im Controlling: Mit Plastikfiguren das zukünftige Controlling-Rollenprofil gestalten" Financial Risk Manager (FRM) certification from GARP Prof. Keimer has been actively involved in advising and research projects. She served as Program Director for the MSc International Financial Management program and has led several significant research initiatives including the Innosuisse Project "Digital Transformation in Controlling" (2017) and the "Business Analytics in Controlling" project (2019). Her grant portfolio demonstrates strong industry-academia collaboration, with projects often co-developed with financial institutions and corporate partners seeking to modernize their controlling functions. She has also been instrumental in developing continuing education programs that bridge academic research with professional practice. She is closely associated with the Institute for Financial Services Zug (IFZ), where she contributes to research and teaching in the CC Controlling division. Her work often involves cross-disciplinary collaboration, particularly with colleagues in information systems and organizational behavior. She has developed a distinctive approach to teaching and research that combines academic rigor with practical applicability, frequently using case studies and industry partnerships to ground theoretical concepts in real-world challenges.
Prof. Dr. Daniel Veit is a leading academic in Information Systems and Management at the University of Augsburg's Faculty of Business and Economics , with a visiting professorship at Lund University School of Economics and Management . His research investigates the transformative impact of information technology on organizations and individuals, focusing on sustainability, digital business models, and ethical digitalization. Recent publications highlight his work on Digital maturity models Privacy risks in digital services Smart home sustainability Blockchain investment dynamics He contributes to journals like Electronic Markets , Information Systems Journal , and Journal of Business Economics . Scientific recognitions include the JAIS Outstanding Reviewer 2019 Award and the Otto Mønsted Visiting Professorship . His research group mentors PhD students (including Lars Andraschko ), collaborates on EU-funded projects like PriBizz , and organizes international workshops through the Visiting Speaker Seminar Series .
Baris Ozkan is an Assistant Professor at Eindhoven University of Technology, affiliated with the Department of Industrial Engineering and Innovation Sciences under the College of Engineering. His research focuses on Service Systems Engineering, with a particular emphasis on value co-creation in business processes, digital platforms, and mobility ecosystems. PhD in Information Systems (2012) from Middle East Technical University MSc in Software Management (2006) from Middle East Technical University Former Assistant Professor at Atılım University, Turkey His methodological expertise spans Design Science Research, Bayesian inference, and Grounded Theory, applied to domains like business process maturity assessment and digital transformation. Current research explores mobility service ecosystems and collaborative business models for sustainable solutions. Key scientific contributions include systematic reviews on MaaS acceptance factors and capability maturity models for data analytics. He actively participates in international conferences (ICIS, ECIS) and serves as a reviewer for journals like Information and Software Technology.
Assoc. Prof. Dr. Levent ÇALLI is an academic at Sakarya University , Faculty of Computer and Information Sciences, Department of Data Science and Analytics. He holds a Doctorate in Production Management and Marketing (2010) and a Post-Doctorate at University of Portsmouth (2014). Academic Rank: Associate Professor (since 2011) Previous Roles: Research Assistant (2008-2011) in Information Systems Engineering, Distance Education Application and Research Center (2004-2008) Research Interests center on data science applications in service quality, technology adoption, and digital transformation. His work employs machine learning , text mining , and topic modeling to analyze customer behavior in sectors like aviation, hospitality, and mobile banking. Recent publications focus on sustainable urban transport and service robotics . Article Trends show a strong focus on machine learning (2016-2025) and technology adoption (2014-2022). Key topics include service robot integration , customer churn analysis , and digital maturity in SMEs. Scientific Awards include: Best Paper - International Joint Conference on Hospitality & Tourism 2021 Sakarya Üniversitesi Bilim Ödülleri - 2025 Academic Duties involve teaching Electronic Commerce , International Marketing , and Database Systems , alongside supervising TÜBİTAK-funded student projects on AI applications in agriculture and logistics.
Severino Meregalli serves as Associate Professor of Practice of Information Systems at SDA Bocconi School of Management, Bocconi University, where he directs the DEVO Lab (Digital Enterprise Value and Organization Lab) and previously led the Information Systems Unit (2007-2012). His industry engagement spans research and education projects for major multinational corporations, alongside board memberships in national and international companies. His research program critically examines IT governance frameworks, digital transformation pathways, and quantification of information systems value. Key investigations include ERP implementation dynamics, adoption patterns of IS governance tools, and organizational impacts of digital technologies, with recent work pivoting toward healthcare applications like digital therapeutics and digital twins. Publication trends reveal a strategic evolution from core IT governance toward healthcare innovation and post-digital enterprise theory, consistently emphasizing evidence-based value measurement. His works bridge academic rigor with executive applicability, particularly through the DEVO Lab's industry collaborations. Scientific recognition includes: Excellence in Research Award - SDA Bocconi School of Management (2014) Meregalli's professional ecosystem integrates his academic role with entrepreneurial ventures, notably as founder of a corporate IT consulting firm and Visiting Scholar position at Carlson School of Management. His executive education leadership includes the IT Governance Program focused on value-driven information systems management. The DEVO Lab operates as his primary research nucleus, advancing studies on digital enterprise transformation through industry-academia partnerships that analyze real-world adoption challenges and value creation mechanisms.
Safwan S Halabi serves as Associate Professor of Radiology at Northwestern University Feinberg School of Medicine, holding dual leadership roles as Vice-Chair of Radiology Informatics and Director of Fetal Imaging at The Chicago Institute for Fetal Health. He practices clinically in fetal and pediatric imaging at Ann & Robert H. Lurie Children's Hospital of Chicago, with additional hospital affiliations including Northwestern Medicine Central DuPage Hospital and Delnor Hospital. His administrative focus targets quality improvement, patient safety, and enterprise imaging platform optimization. His educational background includes an MD from The University of Toledo College of Medicine (2001), followed by diagnostic radiology training at Henry Ford Health System (Intern 2002, Chief Resident 2005, Resident 2006), and a Pediatric Radiology Fellowship at Cincinnati Children's Hospital Medical Center (2007). He maintains dual board certification in Radiology (with Pediatric Radiology CAQ) and Clinical Informatics. Dr. Halabi's research centers on the intersection of imaging informatics and artificial intelligence, with emphasis on deep/machine learning applications in medical imaging, clinical decision support systems, and patient-centered healthcare delivery. His work prioritizes practical AI implementation, reproducibility frameworks, and ethical data sharing, particularly in pediatric contexts. Current projects address federated learning strategies, skeletal maturity assessment, and fetal imaging analytics. Analysis of his 15 most recent publications reveals a dominant focus on AI reproducibility (40% of articles), followed by federated learning architectures (27%) and pediatric-specific applications (20%). Key trends include standardization of AI model documentation, multi-institutional dataset curation, and workflow integration challenges in clinical radiology settings. Fellow of the American College of Radiology (2025) Imaging Informatics Innovator Award, SIIM (2022) Dual Caffey Awards for Basic Science Papers (2021, 2017) Focus on People Award for Radiology Safety (2008) Howard P. Doub Radiology Resident Award (2003) As Associate Editor for the Journal of the American College of Radiology (2019-2024) and Journal of Digital Imaging (2018-2020), he shapes scholarly discourse in radiology informatics. His leadership extends to the RSNA Machine Learning Data Standards Committee (2018-2024) and SIIM Board of Directors (2018-2023), where he drives standards for AI implementation. Current advisory roles include Change Healthcare (2021-present) and the ACR Pediatric AI Workgroup. He directs the fetal imaging program at The Chicago Institute for Fetal Health and leads Northwestern's radiology informatics division, overseeing enterprise imaging platform development. His teams actively participate in RSNA AI challenges, focusing on multi-institutional collaboration for pediatric bone age assessment and pulmonary embolism detection, with emphasis on real-world clinical integration of AI tools.
Paulo Sampaio is an Assistant Professor at the Department of Production and Systems, School of Engineering, University of Minho. As Senior Researcher at ALGORITMI Research Centre's IEM group, he focuses on Quality and Organizational Excellence. He holds a PhD in Industrial Engineering (2008) and has authored 138 publications with an h-index of 26. Born in Braga, Portugal (1978) Graduated in Industrial Engineering (2002) PhD in Industrial Engineering (2008) Visiting Scholar at MIT (2015) His research spans Quality 4.0, Supply Chain Management, Risk Analysis, and Integrated Management Systems, with particular emphasis on Industry 4.0/5.0 transformation and agile organizational models. Articles demonstrate increasing focus on machine learning applications, sustainability taxonomy development, and cross-cultural SME studies. Scientific recognition includes: Feigenbaum Medal (ASQ 2012) Best Paper Awards (2006-2009) International Academy for Quality Academician (2014) Top reviewer recognition (2015) As an advisor, he has successfully mentored 6 PhD candidates and over 100 Master's students while leading major EU-funded projects like INNOVCAR (€12.75M) and iFACTORY (€9.25M). Current leadership roles include Department Head, Doctoral Program Director, and Scientific Council member.
Lino António Antunes Fernandes Costa is an Associate Professor (with tenure) at the Department of Production and Systems, School of Engineering, University of Minho, Portugal. He conducts his research activities at the ALGORITMI R&D Centre as a member of the Systems Engineering and Operational Research (SEOR) research group. His academic credentials include a PhD in Production and Systems Engineering, an MSc in Informatics, and a DEng in Informatics and Systems Engineering. These qualifications form the foundation for his interdisciplinary research bridging engineering, computer science, and mathematical optimization. Dr. Costa's research focuses on multi-objective optimization, nonlinear optimization, evolutionary algorithms, and applied statistics. His work demonstrates significant application to real-world industrial problems, particularly in manufacturing optimization, agricultural technology (with emphasis on olive cultivation), emergency response systems, and quality control. His methodological approaches often combine traditional optimization techniques with modern machine learning and artificial intelligence methods. His publication record shows a clear evolution toward Industry 4.0 applications, with recent work emphasizing the integration of optimization techniques with smart manufacturing systems, agricultural technology, and emergency management. His research demonstrates strong interdisciplinary connections between operations research, computer science, and domain-specific applications in manufacturing and agriculture. h-index: 17 Total Publications: 126 Total Citations: 1,193 Q1/Q2 Journal Publications: 40 Dr. Costa serves as a regular reviewer for prestigious journals including IEEE Transactions on Evolutionary Computation, Evolutionary Computation, IEEE Intelligent Systems, and European Journal of Operational Research. He has contributed to over 40 international scientific events as a program committee member, including major conferences such as ACM GECCO, IEEE CEC, and EMO. His professional activities extend to project-based learning initiatives in industrial engineering education, demonstrating his commitment to both research and teaching excellence. His laboratory work centers around the ALGORITMI Centre's SEOR research group, where he collaborates on developing optimization frameworks for distributed manufacturing systems, agricultural technology applications, and emergency resource management. Current projects include applying multi-objective optimization to olive cultivation challenges and developing intelligent systems for firefighting resource allocation.
Aaron Hamvas, MD, is a Professor of Pediatrics (Neonatology) at Northwestern University Feinberg School of Medicine and Chief of Neonatology at Ann & Robert H. Lurie Children's Hospital of Chicago. His research bridges clinical neonatology with genomic investigations of lung diseases affecting newborns, children, and adults. Education MD: Washington University (1981) Residency: Saint Louis Children's Hospital Pediatrics (1984) Fellowship: Saint Louis Children's Hospital Pediatrics (1990) Board Certification: Neonatal-Perinatal Medicine Dr. Hamvas investigates genetic mutations in pulmonary surfactant proteins causing newborn respiratory distress and adult pulmonary fibrosis. His work combines exome sequencing with NIH-funded studies on autonomic nervous system regulation and physiologic monitoring of premature infants. Key focus areas include bronchopulmonary dysplasia, surfactant dysfunction syndromes, and developmental outcomes. Recent publications examine genetic testing implementation, environmental exposure impacts, and physiologic data analytics. His research receives support from the NIH and collaborates with the Center for Genetic Medicine and Institute for Innovations in Developmental Sciences. Scientific Awards Feinberg School of Medicine Pediatrics Department - Excellence in Scholarship (2024) Midwest Society for Pediatric Research - Founder's Award (2022) Chicago Magazine - Top Doctors (2022) Castle Connolly Medical - America's Top Doctors (2004) Dr. Hamvas serves on editorial boards of the Annals of the American Thoracic Society and Fetal and Neonatal Pathology . He leads professional societies including the Perinatal Research Society and American Thoracic Society committees, advancing neonatal research frameworks.
Mandy Brown Belfort, M.D. is an Associate Professor of Pediatrics at Harvard Medical School and Brigham and Women's Hospital, specializing in neonatal nutrition and preterm infant development. Her research focuses on optimizing human milk feeding for vulnerable infants, with particular emphasis on brain development and growth outcomes. Dr. Belfort's research interests center on preterm infant nutrition , specifically examining how human milk composition influences growth, body composition, and neurological development in premature infants. Her work investigates the role of specific milk components (including oligosaccharides, lactoferrin, and macronutrients) in promoting optimal outcomes, while addressing health disparities in neonatal care access and implementation. She employs both clinical and translational approaches to bridge laboratory findings with bedside applications in the NICU. Analysis of Dr. Belfort's recent publications reveals a strong focus on human milk science and preterm infant outcomes . Her work spans from basic milk composition analysis to large multicenter clinical studies across diverse populations (including Bangladesh and Brazil). Key themes include the development of brain-specific nutritional indicators, precision fortification approaches, and understanding how early nutritional interventions affect long-term neurodevelopment. Her research increasingly incorporates advanced methodologies like point-of-care milk analysis and sophisticated neuroimaging. R01HD112751 (2023-2028): Infant diet and cardiometabolic risk among children born preterm (PI) R01HD111016 (2022-2026): Development of a brain-specific nutritional status indicator for very preterm infants (PI) R01HD097327 (2019-2024): Targeting human milk fortification to improve preterm infant growth and brain development (PI) K23DK083817 (2008-2014): Balancing the Risk and Benefits of Rapid Weight Gain in Infancy (PI) Dr. Belfort leads a multidisciplinary research team that includes neonatologists, nutrition scientists, neuroimagers, and epidemiologists. Her work involves collaborations with international research groups and participation in major consortia focused on newborn brain development. Current projects examine how human milk components influence brain growth trajectories and develop practical tools for individualized nutritional support in the NICU.
Prof. Dr.-Ing. Udo Triltsch serves as Dean of the Faculty of Mechanical Engineering at Ostfalia University of Applied Sciences, where he leads the Institute IPT (Institute for Production Technology and Management). His academic profile combines administrative leadership with active teaching in Manufacturing Metrology, Digital Production, and Project Management across bachelor's and master's programs in Mechanical Engineering disciplines. Contact details include Building H, Room 115b, telephone +49 5331 939-45620, and email u.triltsch@ostfalia.de, with office hours arranged via Stud.IP. Research focuses on the digital transformation of manufacturing through Manufacturing Metrology and Information Technology in Production. Key investigations include Digital Twin implementation using physics-based simulations, Process Mining for shopfloor optimization, and Smart Factory applications demonstrated through practical case studies like commercial coffee machine monitoring. His work bridges theoretical frameworks with industrial implementation, particularly addressing challenges faced by small and medium enterprises in adopting Industry 4.0 technologies. Analysis of publications from 2017-2024 reveals evolving research trajectories: early work established foundational Industry 4.0 concepts (robotics, sensor integration), while recent output emphasizes educational frameworks for digital competencies (DiKom Project) and practical implementation strategies. The consistent focus on real-world case studies demonstrates a commitment to applicable research that solves tangible production challenges. Scientific awards are not documented in available sources. However, his active grant-funded projects like DiKom and continuous publication record indicate significant professional recognition within production engineering circles. As an academic supervisor, Prof. Triltsch maintains teaching responsibilities across multiple programs while leading research initiatives. His involvement in the DiKom Project suggests active grant management focused on digital transformation for SMEs. Prospective students would engage with practical Industry 4.0 applications through Institute IPT's industry-connected projects, though specific advising capacity isn't detailed. The Institute IPT serves as his primary research ecosystem, driving work in production technology and management. Current activities center on digital twin development, process mining integration, and competency frameworks for industrial digitalization, with strong emphasis on translating research into implementable solutions for manufacturing partners.
Prof. Dr. Patric Eichelberger is a Professor and Head of the Bern Movement Lab at the Bern University of Applied Sciences, School of Health Professions, Department of Physiotherapy. He leads the Foot Biomechanics and Technology Research Group, focusing on quantitative assessment of human movement and biomechanics in injury prevention and rehabilitation. His work bridges clinical practice with technological innovation, particularly in foot biomechanics and orthopedic technology applications. Dr. Eichelberger's research interests center on movement biomechanics of the lower extremity, with special emphasis on foot biomechanics, movement analysis techniques, and biomechanics applications in injury prevention and rehabilitation. His work explores how current technologies can be applied to transfer objective assessment of movement biomechanics from laboratory settings into clinical routine. Specific areas of investigation include footwear and orthoses for running-related injuries, the relationship between running biomechanics and injury, and the development of innovative measurement techniques for dynamic postural stability. His recent publication trends show a strong focus on clinical biomechanics applications, with particular emphasis on ankle and foot biomechanics, movement analysis in injury contexts, and innovative measurement techniques. His work frequently appears in journals related to biomechanics, physiotherapy, orthopedics, and sports medicine, demonstrating interdisciplinary collaboration across these fields. The research consistently applies quantitative methods to address clinically relevant questions in movement science. Prof. Eichelberger actively supervises master's thesis projects through the Bern Movement Lab and teaches across multiple health profession programs. His teaching portfolio includes Quantitative Research Methods and Applied Statistics, Movement Biomechanics, Gait Analysis, and Biomechanical Models. He is also involved in the Center Health Technologies as Co-Head and serves on the Committee for 'Human Digital Transformation' at BFH. His laboratory infrastructure includes the Bern Movement Lab, Bern Mobility Centre, and Bern Pain & Stress Lab, which provide comprehensive facilities for biomechanical assessment, movement analysis, and clinical testing. Through partnerships with institutions like Ortho-Team AG, Praxisklinik Rennbahn AG, and Bern University Hospital, his research maintains strong clinical relevance while advancing methodological approaches in movement science.
Dr. Marek Dietl is an Assistant Professor at the Department of Business Economics, Warsaw School of Economics (SGH). His research focuses on the intersection of economics, finance, and innovation, with specialized expertise in capital market dynamics, patent systems, and empirical analysis of Polish and transition economies. Research Focus Dr. Dietl's work spans several interconnected domains: Capital Markets : Analysis of emerging-to-developed market transitions, particularly Poland's financial ecosystem, stock performance, and regulatory impacts. Innovation & Patents : Seminal research on patent thickets, intellectual property strategies, and innovation barriers in competitive markets. Economic Methodology : Development of novel empirical approaches for risk prediction, market efficiency, and consumer behavior modeling. International Business : Outward investment patterns from Central and Eastern Europe and global market integration. Publication Insights His recent articles (2019-2025) demonstrate a strong focus on Polish capital market maturation post-promotion to developed status, ESG investing during crises, and advanced patent analysis techniques. Earlier works established foundations in FDI, consumer intelligence, and firm default prediction, consistently employing quantitative rigor with policy-relevant applications.
Chris Yoo is an Adjunct Professor at Arizona State University's College of Health Solutions, with a focus on healthcare and life sciences informatics. He holds a Ph.D. in Cell and Molecular Biology from Yale University School of Medicine, a postdoctoral fellowship in Molecular and Cell Biology from UC Berkeley, and a dual BA in Biology and History from the University of Pennsylvania. Education Ph.D., Cell and Molecular Biology, Yale University School of Medicine (1997) Postdoctoral Fellow, Molecular and Cell Biology, University of California-Berkeley (2000) B.A., Biology and History (dual major), The University of Pennsylvania (1991) His research spans big data, genomics, and artificial intelligence in healthcare, with a focus on biomedical diagnostics and cognitive computing. His recent work applies AI and data science to cancer genomics, synthetic lethal targets, and hypergraph databases for biomarker discovery. Chris Yoo's publications reflect a career bridging computational biology, genomics, and clinical applications, with recent articles analyzing genetic predispositions in lumbar disk herniation and drug resistance in leukemia. Earlier work delved into molecular mechanisms of La protein in RNA processing. He actively contributes to academic service as a planning committee member for the NASEM 2021 Workshop on clinical trials transformation and serves on advisory boards for the ASU HEALab and Mayo Clinic/ASU MedTech Accelerator.
