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Chris BrobergView profile

Associate Professor

• Entrepreneurship
• Family Business Dynamics
• Innovation Management
• +3 more

Chris Broberg is an Associate Professor and Associate Dean for Faculty and Research at Wichita State University, concurrently serving as Interim Director of CEDBR. His academic focus centers on entrepreneurship, family business dynamics, innovation management, and strategic marketing. Research interests include new venture development, cross-cultural entrepreneurship, organizational behavior, and the impact of leadership rhetoric on firm performance. He employs mixed-methods approaches, including text analysis for construct validation. Broberg has advised no listed students but contributes to academic entrepreneurship through program evaluations and venture competition frameworks. His work bridges theoretical insights with practical applications in business strategy and policy. Broberg’s research spans diverse topics from socioemotional selectivity in family businesses to the role of political institutions in fostering innovation. He has published extensively on value proposition design, customer engagement strategies, and the effects of CEO charisma on organizational outcomes. While no specific grants or awards are cited, his interdisciplinary contributions reflect a commitment to understanding entrepreneurial ecosystems at micro and macro levels.

Recai YucelView profile

Professor

• Missing Data Analysis
• Biostatistics
• Public Health Research
• +5 more

Recai Yucel is a Professor of Biostatistics and Assistant Director of Biostatistics at Temple University’s College of Public Health, Department of Epidemiology and Biostatistics. Previously, he served as Chair of the Department of Epidemiology and Biostatistics at SUNY Albany. He holds a PhD from Penn State University and completed postdoctoral training at Harvard Medical School. His research focuses on missing data methodologies, measurement error, computational algorithms, and their applications in health services research, social sciences, and public health. He has published over 75 articles and secured grants from NIH, CDC, and NSF. Education: PhD in Statistics, Penn State University MA in Statistics, Penn State University BS in Statistics, Gazi University (Ankara, Turkey) Research Interests: Dr. Yucel develops statistical methods to address missing data challenges in complex surveys and health studies. His work emphasizes computational efficiency, hierarchical modeling, and Bayesian approaches. Substantive areas include environmental health, infectious diseases, chronic illness management, and health disparities. Recent projects explore biomarkers for Alzheimer’s disease in HIV-positive women and epigenetic changes post-COVID-19. Grants & Awards: NIH, CDC, and NSF grants (multiple roles as PI/Co-PI) Fellowship from ASA and NCHS for missing data research Labs/Teams: Leads statistical methodology development in Temple’s Biostatistics Unit, collaborating with researchers on projects ranging from maternal pesticide exposure studies to ICU patient outcomes analysis.

• Special Education
• Behavioral Interventions
• Culturally Responsive Teaching
• +3 more

Mary Rose Sallese is an Assistant Professor in the Curriculum Instruction department at the University of Alabama at Birmingham's School of Education. She joined the faculty in August 2021 following completion of her PhD in Educational Psychology from Texas A&M University. Her academic appointment is permanent/tenure-track status as indicated by the '(P)' designation in her faculty listing. Dr. Sallese's research focuses on culturally responsive interventions for students with emotional and behavioral disorders, particularly Black learners in underserved communities. Her work examines the efficacy of culturally adapted social-emotional learning programs, behavioral support systems, and teacher preparation frameworks. She employs primarily single-case experimental designs and systematic review methodologies in her research. Her scholarly output demonstrates impressive productivity since her faculty appointment, with numerous peer-reviewed publications in high-impact special education journals including School Psychology, Behavioral Disorders, and Journal of Positive Behavior Interventions. Her research trends show a consistent focus on addressing racial disparities in special education services and developing culturally responsive behavioral interventions. Alabama Multi-Tier System of Supports (AL-MTSS) grant from Alabama State Department of Education (2024) Preventing School Violence: STOP School Violence Program (Alabama PEACE Project) (2023) ALABAMA AWARE FY 22 grant (2021) Dr. Sallese actively mentors graduate students through committee service and teaches multiple graduate-level courses including Instructional Methods, Positive Behavioral Supports, and IEP Programming. Her teaching portfolio reflects her research interests in special education, behavior management, and curriculum development for exceptional learners.

• Social Innovation and Entrepreneurship
• Socio-Tech Innovation
• Change Leadership
• +4 more

Dr. Latha Poonamallee is a tenured Professor of Management & Social Innovation and Chair of the Faculty of Management at The New School's Milano School of Policy, Management, and Environment, as well as the School of Undergraduate Studies. She is a University Fellow at The New School and Editor in Chief of the Society of Advancement of Management Journal. Her research focuses on leveraging management and leadership to drive sustainable and equitable societal change, particularly through her founded initiatives like the Management and Social Justice Collective and In-Med AI, an AI-driven healthcare venture. She has held significant grants, including a Fulbright Scholarship to support Botswana's social entrepreneurship ecosystem. Education: Ph.D. in Organizational Behavior, Case Western Reserve University M.B.A., Pondicherry University B.A. and M.A., University of Madras Research Interests: Her work spans social innovation, socio-technical innovation, mindfulness-based leadership, and systemic change. She explores how technology can be ethically harnessed for social good, particularly in healthcare accessibility and equity. Her recent books include Managing for Social Justice (2023) and Socio-Tech Innovation (2020). Publications Trends: Her recent articles emphasize AI-driven medical diagnostics (e.g., traumatic brain injury detection) and frameworks for social enterprise sustainability. She also bridges mindfulness practices with environmental and organizational challenges, advocating for systemic transformation through compassionate leadership. Awards & Grants: Fulbright Specialist Roster (2018–2021) New School University Faculty Fellowship Award Richard M Schulze Family Foundation Grant (2016–2019) Advising & Labs: She advises on social justice initiatives and leads the Management and Social Justice Virtual Conversation Series . Her In-Med AI venture addresses healthcare inequities via AI, while her editorial work shapes management discourse. Upcoming courses include Mindful Leadership Development and Management & Social Justice in 2025/2026.

Miladin StefanovićView profile

Professor

• Production Engineering
• Industrial Engineering
• Industry 4.0/5.0
• +7 more

Miladin Stefanović is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac. His academic role includes research and teaching in production engineering, industrial systems, and advanced manufacturing technologies. He leads initiatives in Industry 4.0/5.0 integration, quality management systems, and smart manufacturing solutions. His research focuses on applying digital technologies like machine learning, computer vision, and IoT for optimizing industrial processes. Notable projects include robotic systems for food processing, OPC UA integration in automation, and cloud-based quality management frameworks. He emphasizes the transition from Quality 4.0 to 5.0, emphasizing human-centric manufacturing advancements. Stefanović has contributed to over 50 peer-reviewed publications since 2014, with recent work addressing real-time defect detection, smart quality control applications, and organizational resilience post-pandemic. His work bridges theoretical advancements with practical implementations in SMEs and public sector organizations. He has been actively involved in educational reforms, developing didactic tools for Industry 4.0 training and prototyping microprocessor-based learning systems. His lab focuses on edge computing solutions for manufacturing efficiency and sustainable resource allocation strategies.

• Production Engineering
• Tribology
• Materials Science
• +5 more

Vladimir Kočović is an Associate Professor of Production Engineering at the Faculty of Engineering, University of Kragujevac. His research focuses on advanced manufacturing processes, tribology, materials science, and optimization of machining techniques. He holds a position in the Department of Production Engineering and has contributed to numerous interdisciplinary studies. His work spans experimental and computational methods, including tool wear analysis, material testing, and automation in manufacturing. He has developed specialized devices for measuring kinetic friction coefficients and optimizing cutting processes. Notable projects include studies on micro-cutting processes, 3D model reconstruction, and the application of AI in defect classification. Despite his prolific research output, no scientific awards are explicitly mentioned. He collaborates on projects involving tribological investigations, reverse engineering, and additive manufacturing. His academic activities include teaching and advising on mechanical engineering and industrial processes, though student names are not listed in available texts.

Arthur MizziView profile

Researcher

• Atmospheric Science
• Environmental Science
• Chemical Weather Forecasting
• +3 more

Arthur Mizzi is a Researcher at the University of Colorado, specializing in atmospheric science and environmental research. He focuses on regional ensemble chemical weather forecasting, data assimilation, and satellite-based retrieval systems. As the developer of WRF-Chem/DART, a widely used regional chemical weather forecast/data assimilation system, his work aims to enhance air quality predictions through innovative techniques like Compact Phase Space Retrievals (CPSRs). His research improves forecast accuracy and predictability, aiding environmental policymakers in safeguarding public health and ecosystems. His research interests include multi-constituent data assimilation, emissions adjustment strategies, and efficient assimilation of satellite-derived atmospheric composition data. Mizzi’s CPSR algorithm reduces computational and storage costs for satellite data assimilation without sacrificing forecast quality. This work has significant societal impact, particularly in improving air quality management and environmental decision-making. Though no formal advisees are listed, his contributions to the WRF-Chem/DART system and CPSR methodology have likely influenced academic and operational communities globally. His research has been applied across North America, Western Europe, and Asia, demonstrating broad practical utility. Mizzi’s efforts bridge atmospheric modeling, data assimilation, and environmental policy, reflecting a commitment to interdisciplinary scientific advancement.

• Production System Design
• Flexible Manufacturing Systems
• Computer-Aided Design (CAD)
• +5 more

Magdalena BARBU is a Lecturer at the Department of Engineering and Industrial Management, Faculty of Technological Engineering and Industrial Management, Transilvania University of Brașov. Her research focuses on production system design, flexible manufacturing systems, and computer-aided design. She has contributed to advancements in automation, tool management, and 3D printing process optimization. Her work bridges theoretical frameworks with practical applications in manufacturing processes and industrial systems. Key research interests include: Automation of assembly processes and robotics integration 3D printing techniques and process management Tool flow dynamics and manufacturing system perturbations Green manufacturing and eco-friendly lubrication systems Kanban-based inventory and production control methodologies Publications emphasize industrial automation, sustainable manufacturing, and mathematical modeling for technical-economic forecasting. Her work spans journals like RECENT and METALURGIA INTERNATIONAL , with a notable book on manufacturing equipment systems (2020). No scientific awards or grants are explicitly listed in the provided materials. Her advisory role is currently unspecified, though her research themes suggest involvement in industrial collaborations.

Piotr Paweł LaskowskiView profile

Assistant Professor

• Internet and communication technologies
• Computer-aided statistics
• Open Source tools in data analysis
• +5 more

Piotr Paweł Laskowski is an Assistant Professor at the Institute of Sociology, University of Białystok. He holds an MA in Mathematics and PhD in Sociology, with academic appointments indicating current full-time faculty status. His educational background enables interdisciplinary research spanning computational methods and social theory. Research Focus Laskowski's work centers on technology-society intersections, including: Computational sociology and data visualization techniques Network society dynamics and digital communication Machine learning applications in social research Web accessibility and online behavior patterns Pandemic impacts on health behaviors and social structures Publication Analysis Recent articles (2022-2025) demonstrate strong focus on COVID-19 societal impacts, with 60% analyzing pandemic-related health behaviors, policy compliance, and well-being. Secondary themes include religiosity studies (20%) employing longitudinal data, and computational sociology (20%) featuring cognitive modeling and simulation techniques. Methodologically, works emphasize quantitative analysis of large-scale surveys and medical datasets. Projects Led interdisciplinary project Religion, Ideology & Prosociality: Simulating Secularising Societies (2020-2023), employing simulation methods to study societal secularization. Awards and Students No awards or supervised students identified in available data.

Diogo Campos SasdelliView profile

Research Fellow

• AI and Law
• Legal Logic
• Normative Diagrams
• +6 more

Dr. Diogo Campos Sasdelli, M.A. serves as a Senior Researcher at the Center for E-Governance, University for Continuing Education Krems. His academic work bridges the gap between legal theory and computer science, with a particular focus on how digital technologies can transform legal reasoning and governance structures. Dr. Sasdelli's research interests span multiple interdisciplinary domains where law intersects with technology. His primary focus areas include AI and law, legal logic systems, normative diagramming techniques, e-governance frameworks, cybersecurity law, and digital government infrastructure. He has made significant contributions to understanding how computational approaches can enhance legal reasoning while maintaining philosophical rigor in jurisprudence. His recent publications reveal a strong trend toward developing visual and computational models for legal norms, with particular emphasis on normative diagrams as tools for legal representation. His work spans theoretical legal philosophy (examining concepts from the German Enlightenment to contemporary legal theory) to practical applications in AI decision systems, cybersecurity frameworks, and disaster response technologies. The interdisciplinary nature of his research connects computer science methodologies with deep legal scholarship. Dr. Sasdelli is actively involved in research funding projects, including 'Towards an Academic Security Operations Center' (2024-2026) funded by FFG, where he contributes expertise in cybersecurity law, and 'GeoSemantic and Crowdsourced enhanced Virtual Reality for Situational Awareness' (2023-2025), where he applies his knowledge of legal frameworks to disaster response systems. His collaborative work spans multiple institutions and disciplines, with frequent collaborations with researchers including Thomas Lampoltshammer, Noella Edelmann, and Benjamin Steffes. Dr. Sasdelli regularly presents at major international conferences including ICAIL, IRIS, and dg.o, demonstrating his active engagement with the global research community in legal informatics and digital governance.

• Computer Vision
• Machine Learning
• Deep Learning
• +2 more

Thomas Koller is a Professor and Head of the Master's Program in Engineering at Lucerne University of Applied Sciences and Arts, affiliated with the School of Computer Science and Information Technology. His research focuses on computer vision, machine learning, and medical image analysis applications. His primary research domains include: Computer Vision and Image Processing Deep Learning and Reinforcement Learning Medical Imaging and Diagnostic Applications His publications demonstrate strong focus on applying computer vision and deep learning techniques to medical challenges, particularly in dermatology and vascular imaging. Recent work shows increasing emphasis on real-world healthcare applications and interactive systems. Scientific Awards: Best Poster Video Award (2022) aha! Award des Allergiezentrums Schweiz (2017)

Eric TopolView profile

Professor

• Genomics
• Digital Health
• Artificial Intelligence
• +2 more

Eric Topol is Founder and Director of Scripps Research Translational Institute, Executive Vice President at Scripps Research, and holds the Gary and Mary West Endowed Chair of Innovative Medicine. A National Academy of Medicine member and top-cited researcher, he focuses on individualized medicine using genomic, digital and AI technologies. His research spans AI applications in healthcare, digital medicine, genomics, and translational science. Recent publications explore AI's role in clinical reasoning, medical imaging, and epidemic modeling, plus innovations in cardiology and Alzheimer's research. Topol leads major NIH initiatives including the All of Us Research Program and has authored influential books on medicine's digital future.

Sebastian BaltesView profile

Professor

• Empirical Software Engineering
• Software Development Processes
• Tool and Process Improvement
• +3 more

Sebastian Baltes is a Professor of Software Engineering at the University of Bayreuth, Germany, and an Adjunct Professor at the University of Adelaide, Australia. His research focuses on empirical studies of software developers' work habits, tool/process improvements, and bridging empirical research with industrial practice. He holds a PhD from the University of Trier and has industry experience at SAP and QAware. He teaches courses on Software Engineering, Advanced SE, and related topics across multiple universities, including University of Bayreuth, Trier, and Adelaide. His research emphasizes data-driven decision-making and has led to influential work on test flakiness, Stack Overflow code reuse, and developer demographics. His academic contributions span over 50 publications in venues like ICSE, FSE, and Empirical Software Engineering. He leads the Software Engineering Group at Bayreuth and actively contributes to the SE community through editorial roles and industry collaborations.

• Medical Imaging
• Image Processing
• Medical Visualization
• +3 more

Örjan Smedby is a Professor at KTH Royal Institute of Technology, specializing in Medical Image Processing and Visualization. His research focuses on developing precise and efficient computational methods for medical decision-making, particularly in automated segmentation of medical images and quantitative analysis of bone structure. Key areas include tumor segmentation, bone graft analysis, and improving imaging techniques for clinical applications such as cancer treatment evaluation and osteoporosis assessment. His work integrates advanced machine learning techniques like deep learning and generative models to enhance image quality, reduce radiation exposure, and automate diagnostic processes. Collaborations involve interdisciplinary teams addressing challenges in oncology, neurology, and orthopaedics. Research Interests: - Medical Image Segmentation - Deep Learning Applications in Radiology - Quantitative Bone Microstructure Analysis - AI-Driven Diagnostic Tools - Iterative Reconstruction Algorithms His publications span topics such as optimizing PET/CT imaging protocols, Alzheimer’s disease neuroimaging, and breast cancer diagnostics. The research emphasizes translating computational methods into clinical workflows to improve healthcare efficiency and accuracy.

Shereen NassarView profile

Associate Professor

• Logistics
• Supply Chain Management
• Sustainable Procurement
• +4 more

Shereen Nassar is an Associate Professor at the School of Social Sciences, Heriot-Watt University. Her research focuses on logistics, supply chain management, and technology integration in facilities management (FM). She has contributed to studies on BIM implementation, AR/Metaverse applications in FM, sustainable procurement practices in the UAE, and gender disparities in aviation/logistics sectors. Nassar holds 13 awards including '20 Regional Logistics Leaders to Watch' and the 'Auto Supply Industry Icon' award. Education: Doctorate in Logistics/Supply Chain Management (not explicitly stated in provided text) Key Research Themes: BIM and Digital Transformation in FM Sustainability in Procurement and Operations Technology Adoption in Supply Chains Gender Equity in Industry Professional Activities: Policy Group Member at Heriot-Watt University (2025–2027) Advisory roles at Amity University Dubai and Breakbulk Conference Speaker at Logimotion Conference and other industry events Labs/Teams: Engaged in cross-disciplinary research teams focused on FM innovation and supply chain resilience Her work bridges technological advancements with practical industry challenges, particularly in the UAE context. Current projects explore ethical AI frameworks for supply chains and digital twin applications in FM.