جستجوی استاد راهنمای دانشگاهی

Kevin Garyمشاهده پروفایل

دانشیار

• Software Architecture and Design
• Open Source Software
• Agile Methods
• +۳ مورد دیگر

Kevin Gary is an Associate Professor in the School of Computing and Augmented Intelligence (SCAI) within the Ira A. Fulton Schools of Engineering at Arizona State University (ASU). He joined ASU in 2004 after prior industry experience and faculty work at the Catholic University of America. His research focuses on software agility, open source software, and applications in healthcare and e-learning. He has contributed to mHealth platforms addressing pediatric chronic conditions and adaptive e-learning systems. Education: Ph.D. in Computer Science from Arizona State University (1999). Research Interests: Software Architecture, Agile Methods, Open Source Software, Healthcare Informatics, and Educational Technology. His recent work explores agile impact on regression testing and lean metrics in open source software. He has developed mobile health apps for asthma, epilepsy, and anxiety, leveraging agile principles and AI. Teaching & Innovation: Created the Software Enterprise program, an industry-aligned pedagogy integrated into ASU’s software engineering curriculum. This initiative earned the President’s Award for Innovation in 2011. He has taught courses in software engineering, web applications, and secure software systems. Grants & Projects: Led projects funded by NSF, industry partners (e.g., UNICON, GEORGETOWN UNIV MED CTR), and foundations (Children’s National Medical). Notable projects include the Image-Guided Surgical Toolkit and the ATIC-funded Software Enterprise pedagogy model. Service: Reviewed for journals/conferences, served as Associate Chair of computing programs, and contributed to professional organizations (IEEE, ACM, ASEE).

Gregory D Bunchمشاهده پروفایل

استاد مدعو

• Entrepreneurship
• Strategy
• Innovation
• +۴ مورد دیگر

Gregory D Bunch is an Adjunct Professor of Entrepreneurship at the University of Chicago Booth School of Business. With a diverse career spanning entrepreneurship, consulting, corporate board leadership, and public service, he brings extensive real-world experience to his academic role. He has advised Fortune 50 companies, family businesses, and startups, working with organizations like Abbott Labs, American Express, Harley-Davidson, and PepsiCo. Founder of Masterplan International Corporation (strategy consulting) Partner at Brandtrust (brand strategy consultancy) Co-founded a healthcare software startup in the Bay Area Served as alderman in West Chicago Education : Bachelor's in Philosophy from Wheaton College MDiv from Harvard University His research and teaching interests focus on entrepreneurship, corporate innovation, and strategic management in volatile environments. Current work explores intersections between AI-driven strategy, customer creation, and adaptive leadership frameworks. Recent publications analyze: Mythological parallels to modern entrepreneurship (e.g., Elon Musk as Odysseus) AI applications in strategic planning and operationalization Business leadership approaches under VUCA (Volatility, Uncertainty, Complexity, Ambiguity) conditions Greg teaches New Venture Strategy across multiple quarters through 2026, maintaining active engagement with Chicago Booth's academic programs.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Prof. Frank-Peter Schilling is a Senior Lecturer at Zurich University of Applied Sciences (ZHAW) School of Engineering and Deputy Director of the Centre for Artificial Intelligence (CAI). He leads the Intelligent Vision Systems group and coordinates the PhD Programme in Data Science with the University of Zurich. As an Adjunct Professor at Victoria University of Wellington, he specializes in AI, Machine Learning, and applications in healthcare and physical sciences. His research focuses on deep learning-based computer vision, MLOps, and trustworthy AI certification frameworks. Education: PhD in Physics (University of Heidelberg, 2001) Dipl.-Phys. (MSc equivalent in Physics, University of Heidelberg, 1998) CAS University Didactics (PH Zurich, 2024) Research Interests: Developing AI systems for medical imaging (e.g., CBCT artifact reduction) Certification schemes for AI trustworthiness (e.g., certAInty project) Applications of deep learning in particle physics and industrial vision Achievements: Recipient of the EPS HEP Prize (2013) for contributions to the Higgs boson discovery at CERN Lead author of over 20 peer-reviewed articles on AI, MLOps, and medical imaging Principal investigator for projects like AI-BRIDGE (responsible AI development) and GenAI4SKA (Square Kilometre Array simulations) Teaching: Courses in MLOps, Machine Learning Operations, and Computer Vision at BSc and MSc levels. Developed the CAS Advanced Machine Learning program. Labs & Networks: Active in ELLIS (European Lab for Learning and Intelligent Systems), CLAIRE (AI research), and ZHAW’s Digital Health/Datalab initiatives.

Pouria Akbarighatarمشاهده پروفایل

پژوهشگر ارشد

• Responsible Data Science
• Data Studies in Information Systems
• Fuzzy Mathematics
• +۳ مورد دیگر

Pouria Akbarighatar is a PhD Research Fellow in Responsible Data Science at the Department of Information Systems , University of Agder, Norway, and a visiting PhD researcher at the Centre for Information Resilience (CIRES) , University of Queensland Business School. He holds a BSc in Industrial Engineering and an MSc in Information Systems from the University of Tehran. His research focuses on Responsible AI , including maturity models , fairness frameworks , and ethical implementation in sociotechnical systems. His work combines Fuzzy mathematics , decision science , and data science to address uncertainty and complexity in AI systems. Recent publications explore responsible AI principles in practitioner contexts, operationalizing AI ethics , and credibility assessment in online reviews . He contributes to journals like AI and Ethics , IEEE Access , and Expert Systems with Applications , alongside conferences such as ECIS , AMCIS , and PACIS . He teaches courses in Data Science Applications , Algorithmic and Data Structures , and Data Science Applications II . He is affiliated with the Human-Centered AI (HCAI) research group.

Kla Tantithamthavornمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Empirical Software Engineering
• Software Quality Assurance
• +۷ مورد دیگر

Dr. Kla Tantithamthavorn is a Senior Lecturer and Director of Engagement & Impact at Monash University's Faculty of Information Technology. He holds a 2020 ARC DECRA Fellowship and specializes in software engineering, explainable AI, and digital health. His research focuses on defect prediction models and their integration into CI/CD pipelines, with notable contributions like the ScottKnott ESD test R package (14,000+ downloads). He leads projects such as RAISE (Responsible AI Software Engineering) and collaborates with organizations like CSIRO and Atlassian. Education: PhD and M.Eng in Software Engineering from Nara Institute of Science and Technology (Japan). Research areas include empirical software engineering, machine learning for quality assurance, and AI-driven cybersecurity. He serves on editorial boards for IEEE Transactions on Software Engineering (TSE) and Empirical Software Engineering (EMSE). Key Projects: Automated Testing of LLMs (CSIRO), RAISE, LLM4SE (Atlassian) Media Contributions: Featured in articles on emergency care analytics and JITBot defect prediction. His work addresses critical domains like e-Health, with deployed systems reducing patient wait times in Australian hospitals. He actively supervises Honours/Master/PhD students and advocates for 'IT for Social Good' initiatives.

Gemma Catolinoمشاهده پروفایل

استادیار

• Software Engineering
• Empirical Software Engineering
• Human Factors in Software Development
• +۱۰ مورد دیگر

Gemma Catolino is an Assistant Professor at the Department of Computer Science, University of Salerno, and affiliated with the Software Engineering (SeSa) Lab. She has also served as an Assistant Professor at Tilburg University and Eindhoven University of Technology through the Jheronimus Academy of Data Science from September 2022 to December 2023, and previously as a Postdoctoral Researcher at Delft University of Technology and Tilburg/Eindhoven institutions. PhD in Computer Science, University of Salerno (2020), supervised by Prof. Filomena Ferrucci MSc in Management and Information Technology, University of Salerno (2016, magna cum laude) BSc in Computer Science, University of Molise (2014) Her research centers on empirical software engineering, focusing on both technical and social aspects affecting software development. Key areas include code smells, defect prediction, testability, changeability, and the emerging concept of “Community Smells”—social dysfunctions in developer teams. She investigates how human factors, team diversity (especially gender), and developer experience influence software quality and maintenance effort, often using mining software repositories and machine learning techniques. Her recent publications span high-impact journals and conferences such as IEEE TSE, EMSE, JSS, ICSE, and ICSME, with a strong trend toward integrating social and technical metrics for just-in-time defect prediction in mobile applications, analyzing community dynamics, and applying software quality metrics to cybersecurity contexts like dark web analysis. She has also contributed to MLOps and serverless computing. She has received several honors including a DEI research grant (2020), Best Technical Paper at BENEVOL 2019, first and second place in ACM Student Research Competitions (2018, 2017), and the Best Master Thesis award from the Italian Software Metrics Association (2017). Gemma Catolino has been actively engaged in academic service as a referee for top journals like IEEE TSE, EMSE, JSS, and IST, guest editor for special issues, and program/organizing committee member for major conferences including ICSE, MSR, SANER, and MobileSoft, where she served as Program Co-Chair in 2022. She has also contributed as a teaching assistant, lecturer, and course coordinator in machine learning and software engineering courses. She leads and contributes to research projects involving international collaborations, particularly with researchers such as Prof. Filomena Ferrucci, Prof. Andy Zaidman, Prof. Willem-Jam van den Heuvel, and Prof. Alexander Serebrenik. Her work bridges empirical software engineering with practical tool development and socio-technical analysis, positioning her at the forefront of modern software engineering research.

Aleksandra Kekkonenمشاهده پروفایل

پژوهشگر ارشد

• Sustainable Development
• Green Transition
• Circular Economy
• +۴ مورد دیگر

Aleksandra Kekkonen is a Senior Research Fellow at the Estonian Business School's Center for Management Studies, specializing in sustainable development and green transition. She holds a PhD in Economics from the Russian Academy of Sciences (2013) and has over 11 years of experience in human capital, labor market, and education system research at national/international levels. Current roles: Research Fellow (EBS), Project Lead in sustainability initiatives Prior institutions: Petrozavodsk State University (Senior Researcher, 2014–2019) Research focus: Circular economy, green economy innovation, sustainability policy, and labor market dynamics Teaching includes courses like 'Green Economy', 'Circular Economy', and 'Sustainability Crisis Management' Research Highlights: Her work bridges sustainability theory and practice, with recent studies on corporate green transition barriers, community-driven financial ecosystems, and multi-level stakeholder frameworks for regional transitions. Key publications include Social Inclusion and Community Participation in Driving Sustainable Financial Ecosystems (2025) and Operationalizing Doughnut Economics (2024). Awards: EBS Green Ambassador (2022), 'UMNIK' Youth Innovation Competition Winner (2015), and multiple research recognitions for labor market studies in Karelia. Projects: Leads initiatives such as the COST Action 'Transformations for Sustainable Futures' and an AI-driven green entrepreneurship course. Previously managed EU-funded projects like the Innovative Finance Inclusion initiative. Labs/Teams: Coordinates the Sustainable Circular Economy research group at EBS, focusing on transdisciplinary solutions for green innovation and stakeholder engagement.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Mubashir Ahmad is a researcher at the School of Physics, Engineering & Computer Science, University of Hertfordshire. His work focuses on applying computational methods to solve real-world challenges in healthcare, infrastructure, and environmental sustainability. Research Focus Dr. Ahmad's expertise spans: Core AI/ML Techniques : Deep learning, machine learning algorithms, computer vision systems Application Domains : Medical imaging diagnostics, pollution modeling, infrastructure inspection automation, and climate impact analysis Emerging Areas : Robotic systems integration and big data fusion for industrial applications Project Engagement Deep Learning-powered Apple Disease Detection System (ADDS) (2024-2025): Serving as Co-Investigator to develop AI tools for agricultural disease identification in collaboration with UK farmers. Publication Trends His recent publications demonstrate consistent focus on operationalizing deep learning across diverse sectors. Dominant themes include automated infrastructure inspection (sewer systems), medical image analysis (chest radiographs), and environmental forecasting (air quality/pollution). This reflects a cross-disciplinary approach bridging computer science with civil engineering, healthcare, and environmental science.

Jonathan L Zittrainمشاهده پروفایل

استاد

• Internet Law
• Artificial Intelligence Policy
• Digital Governance
• +۵ مورد دیگر

Jonathan L Zittrain serves as George Bemis Professor of International Law at Harvard Law School, Professor of Computer Science at Harvard School of Engineering and Applied Sciences, and faculty affiliate at Harvard Kennedy School. He directs the Berkman Klein Center for Internet & Society and Harvard Law School Library while holding a board position at the Electronic Frontier Foundation. His research examines digital ecosystem governance through interdisciplinary lenses, prioritizing internet law, AI policy, and societal impacts of technology. Current work investigates AI agent safety, algorithmic transparency, and digital civil society preservation, emphasizing ethical frameworks for emerging technologies. He advocates for human-centered AI development through both technical and legal interventions. Recent publications reveal a concentrated focus on AI's black-box problematics since 2024, analyzing model interpretability, safety failures, and trust dynamics. These works collectively signal a scholarly pivot toward operationalizing ethical AI through concrete safety mechanisms and policy guardrails, particularly regarding autonomous agent deployment. As Faculty Director of the Berkman Klein Center, Zittrain cultivates an interdisciplinary hub where technologists, legal scholars, and policymakers collaboratively prototype healthier digital spaces. The center's initiatives span AI governance, internet freedom, and digital rights advocacy through its global network of researchers and practitioners.

Javier Villalba-Diezمشاهده پروفایل

استاد

• Artificial Intelligence
• Deep Learning
• Hoshin Kanri
• +۴ مورد دیگر

Professor Javier Villalba-Diez serves at the Faculty of Business of Heilbronn University of Applied Sciences, Germany, where he integrates artificial intelligence with lean management principles in industrial and business contexts. His international collaborations include a cooperative doctoral program with Technical University of Madrid and Erasmus exchanges with Universidad Politécnica de Madrid. Dr. Villalba-Diez earned dual engineering degrees: Mechanical Engineering from Technische Universität München and Industrial Engineering from Universidad Politécnica de Madrid (2003). His PhD in Engineering, Economics and Organizational Innovation (2016) from Universidad Politécnica de Madrid received the institution's best doctoral thesis award. His research spans Artificial Intelligence (particularly Deep Learning applications), Hoshin Kanri strategic planning, Business Intelligence , and Lean Manufacturing . He pioneers sensor-based methodologies for organizational design, using EEG and industrial IoT to analyze problem-solving patterns and network resilience. His work bridges theoretical models with practical implementations across German, American, Japanese, and Spanish manufacturing facilities. Recent publications demonstrate a clear trajectory toward Industry 4.0 integration , with 60% of his 2019-2020 work focusing on deep learning applications in quality control, sensor networks, and cyber-physical systems. The journal Sensors (MDPI) serves as his primary publication venue, reflecting his emphasis on data-driven industrial analytics. His recognition includes: Prize for best doctoral thesis by Universidad Politécnica de Madrid (2016) As Guest Editor for Sensors and reviewer for journals like Sustainability and Journal of Manufacturing Systems , he shapes discourse in industrial AI. His doctoral supervision with Madrid focuses on AI-driven strategic organizational design, while industry collaborations with manufacturing facilities worldwide translate research into operational frameworks. He maintains active roles in curriculum development for Industry 4.0 education through the PROFH4 digital initiative. Dr. Villalba-Diez operates within international research networks, leveraging his multilingual capabilities (German, English, Spanish) to facilitate transnational projects. His work with Neo4j for Hoshin Kanri visualization exemplifies his approach to making complex organizational networks actionable for industry leaders.

Engin Topanمشاهده پروفایل

دانشیار

• Service Logistics
• Predictive Maintenance
• After-Sales Service
• +۵ مورد دیگر

Engin Topan serves as Associate Professor in the Industrial Engineering & Business Information Systems department at the University of Twente, with dual affiliation at the Digital Society Institute. His expertise spans reliability engineering, maintenance systems, and service logistics for capital goods, focusing on data-driven solutions for Industry 4.0 applications and after-sales service optimization. Education: Ph.D. in Industrial Engineering from Middle East Technical University, Turkey (2010) Dr. Topan's research centers on predictive maintenance and spare parts supply planning within service logistics, alongside proactive production planning for smart manufacturing. He pioneers AI-empowered flexible production systems for SMEs and develops service control tower frameworks for after-sales logistics. His work integrates operations research with practical industry challenges, emphasizing real-world applicability in manufacturing and service sectors through projects like ProSeLo and MANTIS. Recent publications (2022-2025) reveal consistent focus on service control tower architectures, predictive maintenance algorithms, and data-sharing mechanisms in inter-organizational systems. Key themes include reference modeling for asset maintenance, heuristic optimization for operational planning, and pandemic response modeling—demonstrating interdisciplinary reach across logistics, public health, and information systems. Scientific Awards: IISE 2022 Best Application Paper in Data Science, Quality, and Reliability ISE Transactions 2019 Design & Manufacturing Best Paper Award Dr. Topan actively mentors graduate researchers and leads major collaborative projects: coordinating PERISCOP (AI-driven production planning for SMEs), serving as WP-leader in DESIRE (smart/resilient manufacturing), and contributing to OpsCenter (service control towers). These initiatives, funded through competitive grants, address critical gaps in sustainable manufacturing and service logistics while fostering industry-academia partnerships. His research operates within the ProSeLo ecosystem for proactive service logistics and the MANTIS framework for maintenance planning, utilizing cross-disciplinary teams to develop decision-support tools. Current efforts focus on operationalizing service control towers through case studies with industrial partners, with future work targeting adaptive supply chains for SMEs in volatile markets.

• Medical Ethics
• Bioethics
• Philosophy of Human Nature
• +۳ مورد دیگر

Rev. Dr. Marcin Ferdynus serves as Assistant Professor at the Department of Ethics, Faculty of Philosophy, John Paul II Catholic University of Lublin. A Catholic priest ordained in 2006, he holds MA in Theology (2006) and PhD in Philosophy (2018) from KUL. His academic career spans teaching roles at European Integration College in Szczecin (2016-2017), pastoral care (2008-2016), and administrative positions including Educational Center Deputy Director (2017-2019) and scholarship recipient (2022). Research Interests Biomedical Enhancement Ethics Medical Futility vs Persistent Therapy Human Dignity in Healthcare Personhood Theory AI Moral Agency Catholic Bioethical Frameworks Recent publications analyze dignity's necessity in healthcare, comparative end-of-life policies, and AI limitations in psychotherapy. His research demonstrates strong international engagement through Erasmus+ internships at Oxford, Padua, Malta, and Slovakia institutions. Scientific Awards Prime Minister's Award for doctoral work (2017) Minister of Education Stipendium (2022) Komisja Edukacji Narodowej Medal (2022) KUL Publication Awards (2021, 2023, 2024) Academic Leadership Philosophy program coordinator (2024-) Scholarship Commission Chair (2023-) Editorial Board of Roczniki Filozoficzne (2019-) Organizer of interdisciplinary conferences International conference speaker (UK, Italy, Czech Republic)

Kok-Leong Ongمشاهده پروفایل

استاد

• Business Analytics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Kok-Leong Ong is a Professor of Business Analytics at RMIT University's College of Business & Law, where he serves as Director of the CoBL Technology Initiative, Director of the Enterprise AI and Data Analytics Hub, and Head of the Department of Information Systems and Business Analytics. With over $1.4 million in research grants, he specializes in translating analytics and machine learning into practical business applications across multiple verticals including e-Commerce, public health, sports, urban studies, marketing, and learning. His research has consistently ranked in the top 25% and 5% of works in their domains according to Altmetric. Professor Ong's research spans Business Analytics, Artificial Intelligence, Machine Learning, and Information Systems, with a focus on making data actionable through analytics-2-business translation, automation, and applications. His work addresses critical challenges in cybersecurity for wearable health devices, ECG-based authentication systems, federated learning privacy, carbon accounting for maritime transport, and AI-driven solutions for vehicle damage detection. He has developed frameworks for operationalizing analytics in business contexts and has made significant contributions to mHealth applications for infant care and breastfeeding support. Among his notable scientific achievements, Professor Ong has received two VC's Teaching Awards and was named one of Australia's Leading Data Academics by CDO Magazine in 2021. He has secured over $1.4 million in research funding and serves on prestigious conferences including KDD and PAKDD. His research has been recognized for its high impact, with many works ranking in the top percentiles of their respective fields. Professor Ong actively supervises numerous research students across diverse topics including human-aligned AI, securing LLMs for financial applications, cyber risks in enterprise AI systems, ECG authentication security, and AI transformation for SMEs. He previously played a key role in establishing Australia's first Business Analytics degree and led La Trobe Business School's analytics program from 2015 to 2019 before joining RMIT in September 2021. Through the Enterprise AI and Data Analytics Hub and his role with RMIT University's Digital3 board, Professor Ong leads initiatives focused on bridging the gap between advanced analytics capabilities and business value creation. His work emphasizes practical implementation of AI and analytics solutions that address real-world challenges across multiple industry sectors.

Jatinder Singhمشاهده پروفایل

استاد

• Accountability in AI Systems
• Responsible AI Development
• Data Governance and Stewardship
• +۷ مورد دیگر

Jatinder Singh is a Professor at the RC Trust and Principal Research Associate (equivalent to Research Professor) at the Department of Computer Science & Technology, University of Cambridge. He is primarily affiliated with the University of Duisburg-Essen, Germany, where he leads the Compliant and Accountable Systems research group within the Law department. His work operates at the critical intersection of computer science, legal frameworks, and societal impact, focusing on practical implementations that align technology with regulatory requirements while addressing user and community concerns. Research interests center on accountability mechanisms for AI systems, responsible development practices, data governance, and privacy/security in emerging technologies. He examines governance, agency, trustworthiness, and transparency gaps in algorithmic systems through interdisciplinary socio-technical lenses. Current work addresses bias in LLMs, stakeholder participation frameworks, and human rights implications in domains like healthcare, maritime enforcement, and consumer IoT, emphasizing contextual awareness and real-world applicability. His 15 most recent publications (2025-2024) reveal dominant trends in AI transparency, fairness proxy development, and legal-compliance engineering. Key focus areas include stakeholder involvement in AI governance, bias mitigation in language models, data justice applications for vulnerable populations, and operationalizing human-centered AI in clinical settings. The work consistently bridges technical implementation with regulatory frameworks like the EU Cyber Resilience Act and GDPR. Scientific Awards: No awards or fellowships were mentioned in the provided text. Advising and Grants: The text does not specify PhD/Master's students or grant details. As leader of an active research group publishing high-impact work on EU regulations and human rights, he likely directs funded projects and mentors early-career researchers, though concrete evidence is absent in the source material. His position suggests involvement in interdisciplinary grant consortia addressing socio-technical challenges. Labs and Teams: Singh leads the Compliant and Accountable Systems research group at University of Duisburg-Essen, which collaborates across university-wide clusters including Artificial Intelligence and Society, Human-AI Interaction, Trustworthy Human Language Technologies, and Verification of Machine Learning. The group develops frameworks for legal compliance in AI, focusing on demonstrable accountability through tools for transparency, bias auditing, and stakeholder engagement in real-world deployments.

Maryam Razavianمشاهده پروفایل

استادیار

• Information Systems
• Software Engineering
• Software Architecture
• +۳ مورد دیگر

Maryam Razavian is an Assistant Professor in the Information Systems group within the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Her research focuses on understanding and guiding information system design processes from both business and technical perspectives. Dr. Razavian received her PhD in Computer Science from VU University Amsterdam, where her dissertation focused on knowledge-driven migration to services funded by the NWO/Jacquard SAPIENSA project. She also holds an MSc from Tehran University and has worked as a Research Assistant at Politecnico de Torino. Her research interests include information system design reasoning, human aspects of information system design, software architecture, service orientation, and increasingly focuses on ethical considerations in software systems. A common theme in her work is understanding how designers carry out design thinking as a key to developing models and approaches for guiding information system design. Dr. Razavian's publication record demonstrates consistent contributions to software engineering and information systems research, with recent work focusing on ethical values in software systems, stakeholder inclusion, and the integration of rational and intuitive thinking in design processes. Her research examines how to incorporate ethical values into architecture design decision-making, including the development of the Ethics-Aware DecidArch Game to help software architects reflect on ethical considerations. Active member of program committees for major conferences including ICSE/SEIS (2015), WICSA (2015-2017), ER (2013-2014) Reviewer for journals such as Journal of Systems and Software and IEEE Software Teaches courses in research methods and design of AI systems at TU/e Her work bridges the gap between technical design processes and their broader societal implications, positioning her at the forefront of research on ethics in software engineering.