جست‌وجوی استاد و پژوهشگر

• Brand Management
• Consumer-Brand Relationships
• Sustainability
• +۵ مورد دیگر

Valentina Mazzoli is a Temporary Assistant Professor at the University of Verona's Department of Management. She holds a PhD and previously served as a Post-Doc Research Fellow in Marketing at the University of Florence, alongside roles at the University of Pisa and University of Roehampton (UK). Her research focuses on brand management, consumer-brand relationships, sustainability, CSR, and digitalization. Key areas include ethical marketing, consumer behavior in e-commerce, and sustainable last-mile logistics. She contributes to the Logistics and Supply Chain Management research group, exploring strategies for circular economy and resilience. Mazzoli teaches modules on digital tools for territorial management and advanced quantitative research methods. Active in academic governance, she serves on the Department Management Council and participates in committees related to research quality and third mission initiatives. Education: PhD in Marketing; Post-Doc at University of Florence Research Interests: Sustainability in consumer behavior, CSR, omnichannel strategies, and logistics optimization Recent Focus: Impact of sustainability messaging, luxury brand digital communication, and metaverse entry strategies Teaching: Master’s courses on territorial heritage promotion and PhD-level quantitative research methods Her work integrates interdisciplinary approaches, such as neuromarketing and behavioral tracking, to address contemporary challenges in retail, tourism, and fashion industries. She is affiliated with the LOOP Research Center, advancing management practices for circular economy and sustainability.

Jonas Rieskampمشاهده پروفایل

پژوهشگر

• Social Media Analytics
• Artificial Intelligence
• Digital Disinformation
• +۴ مورد دیگر

Jonas Rieskamp serves as a Researcher at the Chair of Business Informatics, especially AI Engineering in Business within the Faculty of Business Information Systems and Applied Computer Science at Otto-Friedrich University Bamberg, contributing to research and teaching since March 2022. Education: Bachelor's in Business Informatics, South Westphalia University of Applied Sciences (2018) Master's in Business Informatics, University of Paderborn, specializing in machine learning for computational linguistics His research centers on social media polarization and digital disinformation , employing social media analytics and artificial intelligence to investigate societal phenomena. As a key contributor to the PREVENT project, he develops countermeasures against disinformation campaigns using AI-driven agent-based modeling while exploring generative AI applications in crisis communication and virtual work environments. Publications from 2022-2025 reveal consistent focus on platform-specific disinformation dynamics (Twitter/Telegram), conversational agents in healthcare/open science ecosystems, and ethical AI deployment in hiring processes, with emerging work on social bot interventions during natural disasters. Jonas supervises Bachelor's and Master's theses across AI Engineering and Digital Innovations courses while actively teaching in both programs. He maintains affiliation with Prof. Dr. Milad Mirbabaie's research team at Gutenbergstraße 13, Room GU13/03.04b.

Mohammad Jonaidiمشاهده پروفایل

استاد

• Structural Engineering
• Finite Element Analysis
• Earthquake Engineering
• +۱۰ مورد دیگر

Mohammad Jonaidi is a faculty member in the Department of Civil and Construction Engineering at Kennesaw State University , where he has worked since Fall 2016. He previously served as an adjunct professor from Spring 2011 to Fall 2016 and has 40 years of combined industrial and academic experience in structural engineering. Ph.D. in Civil Engineering (1998), University of Sydney MSc in Structural Engineering (1988), Amir Kabir University BSc in Civil Engineering (1985), Amir Kabir University Dr. Jonaidi specializes in structural engineering with expertise in finite element analysis , post-tensioned concrete , steel structures , and earthquake engineering . His work spans industrial projects (e.g., below-grade shoring walls, FRP retrofitting) and academic research (e.g., AI in education, composite medical devices). His recent research trends include seismic response modeling , machine learning applications , and mechanical analysis of sports equipment . Collaborations with Mechanical Engineering students and faculty members highlight his interdisciplinary approach. Dr. Jonaidi has advised students on topics such as concrete structure experiments , finite element method research , and structural connections . He has presented at conferences including CSCE and ASEE and has published extensively on structural analysis and educational innovations.

Marjolijn Antheunisمشاهده پروفایل

استاد

• Human-Computer Interaction
• Health Communication
• Chatbot Technology
• +۴ مورد دیگر

Marjolijn Antheunis is a Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences, affiliated with the Communication and Cognition department. Her research focuses on human-computer interaction, particularly in chatbot technology and health communication. Her work examines topics such as self-disclosure behavior, digital health interventions, and virtual reality applications. Notably, she has explored how chatbots can support smoking cessation and emotional well-being, as well as the ethical implications of disclosing intimate information to AI systems. She has also investigated the use of full-body illusions to influence health behaviors related to snacking. Supervised 9 research works Active in projects like "AI Technology Implementation in Care Organizations" and "Sensitieve virtuele assistent voor kwetsbare zorgvragers" Contributed datasets for studies on chatbots in smoking cessation and online gaming behavior Labs/Teams: Involved in interdisciplinary teams focusing on AI applications in healthcare and human-computer interaction.

José María Conejeroمشاهده پروفایل

دانشیار

• Model Driven Software Development
• Big Data
• Machine Learning
• +۳ مورد دیگر

José María Conejero is an Associate Professor in the Department of Systems Informatics and Telematics at the University of Extremadura, Spain. He holds a PhD in Computer Science (2010) from the same institution. His research focuses on Model-Driven Software Development, Big Data, Machine Learning, Web Engineering, and Educational Technology. He has published over 50 articles in journals and conferences, and actively participates in program committees. Research interests include software modernization, reproducible data science workflows, legacy system migration (e.g., MigraSOA project), and AI applications in education. He co-founded MetrikaMedia, a university spin-off startup. Notable contributions include model-driven approaches for service-oriented architectures, aspect-oriented software metrics, and smart city applications using unmanned systems. His educational contributions involve developing recommender systems for student enrollment decisions and analyzing ChatGPT's impact on engineering education assessment methods. He has received the 'Best Paper' award at JENUI 2023. Key projects include semantic alignment of business processes with web services, aspect mining methodologies, and DSL development for smart home automation (HAAIS-DSL). He has also explored crosscutting concerns in software product lines and technical debt impact analysis.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Anh Nguyen-Duc is a researcher affiliated with the University of South-Eastern Norway (School of Business) and Norwegian University of Science and Technology , focusing on Software Engineering , Artificial Intelligence , and Startup Research . His work bridges technical and entrepreneurial aspects of software development. University of South-Eastern Norway, School of Business Norwegian University of Science and Technology Research Themes : Software startups, AI integration in development, agile practices, technical debt, and requirements engineering. Recent studies include fairness in educational machine learning models and generative AI adoption in software organizations. Collaborative work with Pekka Abrahamsson, Xiaofeng Wang, and Kai-Kristian Kemell. Key Trends : 2025 studies on AI fairness and generative AI in software processes; 2024 work on hybrid work impacts; 2023 research on startup AI tools and education. Advising & Grants : Collaborates with academic institutions and industry partners on empirical studies about software development practices.

Yin Xiمشاهده پروفایل

دانشیار

• Medical Imaging
• Radiology
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Dr. Yin Xi is an Associate Professor in the Department of Radiology at UT Southwestern Medical Center, with membership in the institution's Research Division. His work bridges radiology and artificial intelligence, focusing on Bayesian statistical methods, spatial analysis, and advanced imaging techniques like MRI and photon-counting CT. He previously served as a statistician in the same department, contributing to three years of foundational research experience. Key research interests include developing AI-driven tools for diagnostic accuracy in musculoskeletal, oncologic, and obstetric imaging. His studies explore applications such as AI-generated radiographic measurements for hip dysplasia, MRI-based radiomics for placenta accreta spectrum prediction, and photon-counting CT optimization for breast/pancreatic cancer imaging. He also investigates imaging biomarkers for diseases like scleroderma and osteomyelitis, with a focus on inter-reader reliability and clinical correlation. Recent work emphasizes ethical AI integration in healthcare, including patient perceptions of AI in mammography interpretation and systematic reviews of AI literature. His multidisciplinary approach spans neuroimaging (e.g., magnetoencephalography correlations), vascular imaging (DVT ultrasound factors), and orthopedic applications (peroneal tendon lesions). He collaborates across specialties to advance imaging protocols and artificial intelligence solutions for clinical decision-making. Dr. Xi's contributions include methodological advancements like the MSKI-RADS and NS-RADS reporting systems for musculoskeletal infections and neuropathies. He also explores healthcare access impacts, such as pandemic effects on preventive imaging and cost-effectiveness of ultrasound-first strategies for breast lesions. His research consistently bridges technical innovation with clinical relevance, aiming to improve diagnostic precision and patient outcomes.

Vivian Genaro Mottiمشاهده پروفایل

دانشیار

• Human Computer Interaction
• Wearable Computing
• Usable Privacy
• +۶ مورد دیگر

Dr. Vivian Genaro Motti is an Associate Professor at the Department of Information Sciences and Technology, George Mason University (GMU), where she leads the Human-Centric Design Lab (HCD Lab). Currently on sabbatical at the University of Lisbon's LASIGE until 2025, her research focuses on Human-Computer Interaction (HCI), Wearable Computing, and Usable Privacy. She investigates assistive smartwatches for neurodivergent adults, inclusive workplaces (NSF-funded), and smart home privacy. Her work combines participatory design, social media analytics, and qualitative analysis. Education: PhD in Computer Science, Catholic University of Louvain (Belgium) Masters in Computer Science, University of São Paulo (Brazil) Bachelor's in Biomedical Informatics, University of São Paulo Research Interests: Her expertise spans assistive technologies, mHealth, privacy in IoT, and inclusive design. She emphasizes participatory methods and has led projects funded by NSF, NIDILRR, and CCI. Recent work includes the NSF-funded "FW-HTF-RL" project fostering neurodiverse workplace success through wearables. Publications: Over 50 peer-reviewed articles, including work on wearable privacy, neurodivergent support systems, and smart home technologies. Recent trends highlight AI ethics, mental health monitoring via wearables, and inclusive employment frameworks. Awards: NSF Grant (2023) NIDILRR ACL Project Funding TeachAccess Award Commonwealth Cyber Initiative (CCI) Support Grants & Advising: Secured over $2M in grants; advised projects on accessible chatbots and privacy controls. Collaborates with industry and academia globally, including postdoc contributions to the NSF-funded Amulet project at Clemson University. Labs & Teams: Leads the HCD Lab, fostering interdisciplinary research in human-centric technology. Collaborates with institutions like Université catholique de Louvain and UFABC on neurodiversity and privacy initiatives.

• Digital Marketing
• Branding
• Marketing Ethics
• +۳ مورد دیگر

Dr Ediz Edip Akcay serves as Senior Lecturer in Digital Marketing and BSc Marketing Programme Leader at Bournemouth University's Business School. His academic work bridges digital marketing innovation with Sustainable Development Goals (SDGs), focusing on ethical AI applications and brand strategy within global contexts. He actively shapes curriculum development and industry engagement through knowledge exchange initiatives. His educational trajectory includes: PhD in Brand Alliances and Value Co-Creation (Bournemouth University, 2021) PGCE in Education Practice (Bournemouth University, 2020) MSc in International Business Management (Bournemouth University, 2012) BA (Hons) in Economics (Bogazici University, Istanbul, 2006) Akçay's research centers on digital marketing's ethical dimensions, particularly AI-driven technologies like chatbots and voice recognition systems. His investigations into brand alliances, value co-creation, and cause-related marketing reveal critical tensions between technological advancement and consumer privacy. Recent work emphasizes how digital convergence impacts brand identity formation and sustainable business practices, often through qualitative case studies examining cross-cultural contexts in emerging markets. Analysis of his 15 most recent publications reveals three dominant trends: accelerating focus on AI ethics in marketing (35% of works), persistent exploration of value co-creation in brand partnerships (40%), and growing integration of UN SDGs into marketing frameworks (25%). His methodology favors multi-case qualitative designs, frequently employing NVivo for thematic analysis of cross-category brand alliances, with increasing attention to B2B contexts and SME-global brand dynamics. During his pre-academic marketing career in Turkey and the UK, Akçay received multiple international project awards (specifics unlisted). His current recognition stems from editorial leadership roles rather than formal prizes. Akçay supervises PhD candidates including Sitsada Sartamorn (Thai SME digitalization), Ali Saleh M Alfurayhi (AI privacy concerns), Hanan Al Dammas, and Ilke Cicekli. His grant portfolio features the Health Innovation Fund (NIHR, 2023), Global Food Journey project (Bournemouth University, 2022), JSPS-funded digital arts research (2021), and Hearst Media UK's Positivity Effect study (2020). He serves as External Examiner at University of Hertfordshire and holds editorial positions at Cogent Business & Management and Transnational Marketing Journal. Through the Business School's SDG initiatives, Akçay coordinates knowledge exchange networks connecting students, educators, and industry partners. His public engagement includes Café Scientifique presentations on city resilience and AI personalization ethics, alongside conference leadership for LIGUE and ISBE events examining disruptive transformations in marketing.

• Computational Modeling
• Human Memory
• Perceptual Processes
• +۵ مورد دیگر

Shane T. Mueller is a Professor in the Psychology and Human Factors Department at Michigan Technological University, specializing in cognitive science and human factors. His research focuses on human memory, perceptual processes, and decision-making mechanisms, with a strong emphasis on computational modeling. He developed the Psychology Experiment Building Language (PEBL), a software platform for creating psychological experiments. Dr. Mueller's work is supported by funding agencies including NIH, DARPA, IARPA, and the Air Force Research Laboratory. He holds a PhD in Cognitive Psychology from the University of Michigan (2002) and previously worked as a Senior Scientist at Klein Associates. His research interests include cognitive modeling, recognitional decision-making, and cultural knowledge representations. He teaches advanced statistical methods in R for psychology and data science, as evidenced by his course materials for PSY 5210/5220. His contributions span AI explainability, human-AI collaboration, and educational software development. Recent publications address topics such as cognitive empathy in AI chatbots, generative AI in construction, and evaluation frameworks for explainable AI systems. Mueller's interdisciplinary work bridges cognitive science, engineering, and healthcare, with a focus on practical applications of theoretical models.

Adrian Horzykمشاهده پروفایل

استاد

• Artificial Intelligence
• Neural Networks
• Associative Systems
• +۴ مورد دیگر

Prof. Adrian Horzyk is a distinguished academic at AGH University of Science and Technology, where he leads research in Artificial Intelligence , Associative Systems , and Biocybernetics within the Department of Biocybernetics and Biomedical Engineering . His work bridges Neural Networks , Knowledge Graphs , and Biomedical Applications , with a focus on associative computing and computational intelligence . Key Roles: Professor, AGH University of Science and Technology Labs: Biocybernetics, Cognitive Science, and Artificial Intelligence Laboratory Horzyk's research explores associative knowledge graphs (ANAKG/LANAKG), self-optimizing neural networks (ASONN), and graph-based data structures (AGDS). He investigates how neural plasticity , synaptic delays , and semantic memory can enhance AI systems, including applications in medical diagnostics (e.g., Fetal Alcohol Syndrome classification) and emotional state analysis via chatbots. His recent publications span topics like ECG signal compression , stock market forecasting , and associative reasoning in neural networks . He has developed AVB+ trees for data structure optimization and DASNG (Deep Associative-Semantic Neural Graphs) for efficient data representation. Scientific Collaborations: Collaborated with leaders in AI, including Prof. Leszek Rutkowski and Prof. Ryszard Tadeusiewicz Contributed to international competitions and publications, including monographs like Artificial Associative Systems and Associative Artificial Intelligence (EXIT Publishing, 2013)

Dominic DiFranzoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Media
• Cyberbullying Intervention
• +۶ مورد دیگر

Dominic DiFranzo is an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University. His work bridges human-computer interaction, social psychology, and social media design to create interventions that promote prosocial behaviors online. He leads several innovative research projects including the Truman Platform, Social Media TestDrive, and Deception Awareness and Resilience Training (DART). Dr. DiFranzo earned his PhD in Computer Science from Rensselaer Polytechnic Institute as a member of the Tetherless World Constellation. Following his doctoral studies, he completed a postdoctoral position in the Social Media Lab at Cornell University. His educational background has provided him with strong foundations in both computer science and social science methodologies. Dr. DiFranzo's research focuses on translating established social science theories into practical design interventions for social media platforms. His primary areas of interest include cyberbullying intervention strategies, misinformation detection and correction, AI-mediated communication, and developing educational tools for digital literacy. He specializes in creating ecologically valid social media simulations that give researchers control over both technical interfaces and social situations. His innovative Truman Platform allows researchers to create custom social media environments where every user interaction can be controlled and curated. His Social Media TestDrive platform has been used by over 800,000 middle school students across the US to safely practice social media skills. His recent publications (2023-2025) demonstrate a strong focus on understanding and improving social interactions in digital spaces. His work spans multiple dimensions of online behavior including cyberbullying intervention strategies, misinformation processing, AI-mediated communication effects, and social norm influences on user behavior. A recurring theme across his recent work is the development of methodological innovations that balance ecological validity with experimental control, particularly through his Truman Platform and related simulation tools. His research has significant implications for social media design, digital literacy education, and platform policy. Dr. DiFranzo actively mentors students through his various research projects and has secured funding to support his innovative work in social media simulation and intervention design. His Truman Platform has been made openly available on GitHub, demonstrating his commitment to open science and collaborative research. His Social Media TestDrive platform has reached a substantial audience of over 800,000 middle school students across the United States, showing the real-world impact of his educational interventions. Dr. DiFranzo leads the Truman Research Lab at Lehigh University, which develops and implements social media simulation platforms for experimental research. His team includes undergraduate and graduate students working on various aspects of social media design, AI-mediated communication, and educational technology. The lab's work spans multiple interdisciplinary collaborations across computer science, psychology, education, and gerontology, particularly evident in projects like DART which focuses on deception awareness for older adults.

• Business Processes
• Blockchain Technology
• Semantic Technologies
• +۵ مورد دیگر

Assoc. Prof. Julius Köpke is an Associate Professor at the University of Klagenfurt's Department of Informatics Systems. His research focuses on business processes, blockchain technology, and semantic interoperability, with particular emphasis on smart contracts, artifact-centric processes, and interorganizational systems. He is affiliated with the Information and Communication Systems research group and contributes to the Institute for Computer Science Systems. Research Interests: - Interorganizational business processes with a focus on blockchain and smart contracts - Application of semantic technologies for data interoperability - Artifact-centric process modeling and data provenance Key Contributions: - Developed SecBPMN2BC framework for secure blockchain-based process modeling - Authored methods for aligning global and local processes, optimizing data-flow implementations - Pioneered lightweight XML-Schema annotation techniques for data translation Recent Work: - Explored LLM-based conversational process modeling tools - Investigated blockchain channel storage for business process data - Published extensively on time-aware processes and temporal constraints Labs/Teams: - Member of the Information and Communication Systems team - Active contributor to the Department of Informatics Systems' research initiatives

• Artificial Intelligence
• Knowledge Engineering
• Machine Learning
• +۳ مورد دیگر

Konstantin Schekotihin is an Associate Professor at the Institute of Artificial Intelligence and Cybersecurity , part of the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. His research focuses on AI-driven solutions for semiconductor manufacturing, failure analysis, and multi-agent systems. He specializes in reinforcement learning, scheduling optimization, and neuro-symbolic AI applications. His work bridges theoretical advancements with industrial challenges such as semiconductor fab automation and real-time process monitoring. He has collaborated with organizations like the Austrian Research Promotion Agency (FFG) and Infineon Technologies. Key research areas include: AI for semiconductor failure analysis workflows Reinforcement learning in manufacturing scheduling Multi-agent systems in immersive VR environments Neuro-symbolic AI for defect routing Predictive modeling for equipment maintenance Recent projects involve optimizing ion implantation processes, developing FA ChatBots, and improving social presence in VR simulations. His work emphasizes scalability, explainability, and real-world applicability of AI systems.

Dmitri Byzalovمشاهده پروفایل

دانشیار

• Financial Accounting
• Managerial Accounting
• Cost Behavior Analysis
• +۳ مورد دیگر

Dmitri Byzalov is an Associate Professor and Merves Research Fellow in the Department of Accounting at Temple University's Fox School of Business and Management. He holds a Ph.D. from Harvard University and specializes in financial and managerial accounting research. His research focuses on meet-or-just-beat behavior, accrual modeling, cost behavior, and conditional conservatism, with publications in top journals like Journal of Accounting and Economics and Review of Accounting Studies . He teaches undergraduate Managerial Accounting and PhD-level courses. His 2015 AAA award recognized work on demand uncertainty and cost behavior. Current research explores methodological issues in accounting studies, including regression-based x-scores and AI applications in education. Education: Ph.D. in Accounting from Harvard University Research interests emphasize empirical methodologies in accounting, particularly addressing biases in models and the impact of cost dynamics on financial reporting. Recent work evaluates ChatGPT's performance in answering accounting questions, bridging AI and educational practices.