AI Value Alignment Professors and Supervisors | ApplySharif

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Alessandro BozzonView profile

Professor

Delft University of TechnologyNetherlands

Prof. Alessandro Bozzon is a Full Professor of Human-Centered Artificial Intelligence (HCAI) at Delft University of Technology, holding dual appointments in the Faculty of Industrial Design Engineering and the Faculty of Electrical Engineering, Mathematics, and Computer Science. He leads the Department of Sustainable Design Engineering and chairs the Delft AI Labs and Talents initiative. His research focuses on developing AI systems that augment human capabilities while ensuring ethical and societal benefits, with contributions spanning HCAI, human-AI interaction, and algorithmic fairness. Awarded the 2023 Fellow of the Netherlands Academy of Engineering and recipient of the IBM Faculty Award (2017), Bozzon has pioneered projects like SocialGlass (urban analytics) and TROMPA (music digitization). He teaches courses on Machine Learning for Design and Crowd Computing, and has mentored over 70 graduate students. His work addresses challenges in healthcare AI, automated decision-making, and sustainable energy systems through interdisciplinary collaborations with industry and policymakers. Key projects include the Equal-Life initiative (children’s greenspace access) and FAIR digital product passports for ICT. He co-directs the Future Libraries Lab, exploring AI’s role in cultural heritage. His research has been featured in top venues like CHI, ACM conferences, and interdisciplinary journals.

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Aakash AhmadView profile

Lecturer

Lancaster UniversityUnited Kingdom

Dr. Aakash Ahmad is a Lecturer in Computing and Communications at Lancaster University, UK. His research focuses on quantum software systems, AI-driven software engineering practices, and microservices architecture. He leads empirical studies on developer experiences with tools like GitHub Copilot and has contributed to foundational work in quantum architecture description languages (QADL). His work bridges practical software development challenges with cutting-edge AI and quantum computing innovations. Affiliations: Department of Computing at Lancaster University, UK. Research Interests: Quantum software architecture, AI in software engineering, microservices challenges, empirical studies on developer tools, and blockchain system development. His datasets include empirical analyses of Stack Exchange and GitHub data, exploring architecture decisions in quantum systems and challenges in Copilot usage. He has received awards for impactful studies on GitHub Copilot practices and quantum software development processes. Ahmad is actively involved in organizing workshops such as the Engineering Processes and Practices for Quantum Software (PPQS’24) and presents at international conferences. Key Projects: Quantum architecture frameworks, AI ethics in development, and blockchain system design.

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Klaus HeineView profile

Professor

Erasmus University RotterdamNetherlands

Klaus Heine is a Full Professor at Erasmus University Rotterdam's Erasmus School of Law, specializing in Law and Economics. As Director of the Jean Monnet Centre of Excellence on Digital Governance (DIGOV), his research intersects artificial intelligence, legal liability, and governance frameworks. His work addresses accountability gaps in AI systems through historical legal analysis and contemporary policy development. Research focuses include: Legal accountability frameworks for AI systems Digital governance and policy implementation Corporate liability in technological contexts Historical foundations of modern liability concepts Recent publications demonstrate sustained focus on bridging Roman law principles with contemporary AI governance challenges. Articles frequently examine liability distribution, ethical frameworks, and regulatory approaches across healthcare, public safety, and sustainability domains. Emerging themes include moral philosophy foundations for AI personhood and strategic implementation of sustainability goals. Scientific Awards: Artificial Intelligence for Multi-Agency Public Safety Issues (AI-MAPS) 2022 Jean Monnet Centre of Excellence on Digital Governance 2019 He coordinates the Law & Digitalisation research seminar and leads international collaborations on AI governance. Current projects examine civil liability models for healthcare AI systems and epistemological foundations for AI rights frameworks.

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Rogier HarmelinkView profile

Researcher

University of TwenteNetherlands

Rogier Harmelink is a researcher in Industrial Engineering & Business Information Systems, focusing on artificial intelligence, data mining, and transport logistics. His work aligns with UN Sustainable Development Goals, particularly in economic optimization and environmental sustainability. Research Interests include: AI-driven logistics and supply chain optimization Control tower architectures for asset maintenance and urban construction Data sharing dynamics in interorganizational systems Application of design science in industrial contexts Sustainable transportation and freight systems Process mining for operational efficiency Recent Publications (2024-2025) highlight his work on control tower frameworks for construction logistics, data-sharing incentives in collaborative systems, and contest theory applications in sustainable advertising. His research combines technical modeling (reference architecture, optimization) with socio-economic analysis.

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Lara CarminatiView profile

Assistant Professor

University of TwenteNetherlands

Lara Carminati is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems. Her research focuses on leadership dynamics, multicultural team behavior, identity conflicts in professional settings, and the impact of digital transformation on organizational well-being. She has contributed to over 30 publications and holds an h-index of 32 with 321 citations. Her work aligns with UN Sustainable Development Goals related to health and community development. Research interests include cross-cultural management, emotional intelligence in workplaces, organizational identity, and qualitative methodologies for studying ethical dilemmas. Her recent studies explore how digital transformation affects employee flourishing and how multicultural teams navigate conflict through dialectical frameworks. Collaborative efforts span international projects examining leadership in healthcare partnerships and the intersection of technology, ethics, and professional identity. No academic awards are explicitly mentioned, though her prolific output indicates sustained scholarly impact. Advising includes one supervised work project, reflecting her engagement in mentoring research initiatives. Her work often bridges theoretical frameworks with practical applications in organizational behavior and cross-cultural business environments.

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Jeremias SulamView profile

Assistant Professor

Johns Hopkins UniversityUnited States

Jeremias Sulam is an Assistant Professor in Biomedical Engineering, Computer Science, and Applied Mathematics & Statistics at Johns Hopkins University. He holds affiliations with the Center for Imaging Science, Kavli Neuroscience Discovery Institute, and Mathematical Institute for Data Science (MINDS). His research bridges foundational machine learning theory with biomedical applications, focusing on interpretability, robustness, and ethical AI. Key interests include inverse problems in imaging, algorithmic fairness, and biomarker discovery in neuroscience and pathology. Education: PhD in Computer Science (Technion Israel Institute of Technology, 2018); Biongineering (Universidad Nacional de Entre Ríos, Argentina, 2013). Research Focus: Developing robust ML models for medical imaging tasks such as radiology and digital pathology. Recent work addresses adversarial robustness, bias mitigation in AI, and explainable algorithms for diagnostic systems. His Sulam Group explores applications in CT denoising, MRI reconstruction, and tumor microenvironment analysis. Awards: NSF CAREER Award (2023) Johns Hopkins Catalyst Award (2024) Chan Zuckerberg Initiative Award (2024) Discovery Award (2024) Grants & Collaborations: Active in cross-disciplinary projects funded by NIH and industry partners. Leads initiatives on trustworthy AI for healthcare through Johns Hopkins' collaborative networks.

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Sandun PereraView profile

Associate Professor

University of Nevada, RenoUnited States

Dr. Sandun Perera is an Associate Professor of Business Analytics and Operations at the University of Nevada, Reno's College of Business. He holds leadership roles as Executive Director of the Human-Centered AI Society and Co-Chair for major academic conferences (DSI 2025, POMS 2025). His research spans Supply Chain Management, Healthcare Operations, AI integration, and Disruptive Technologies, with publications in top-tier journals like Financial Times Top 50 and UTD Top 24 lists. He has collaborated with multinational firms, hospitals, and pharmaceutical companies, addressing real-world operational challenges. Education: Ph.D., Operations Management, University of Texas at Dallas (2015) MBA and M.S. in Supply Chain Management, University of Texas at Dallas (2014–2012) Advanced coursework in Finance, Economics, and Mathematics (University of Zurich, Florida Atlantic University) B.S. in Finance and Computational Mathematics, University of Colombo (2004) His research interests focus on leveraging AI and analytics to optimize healthcare systems, supply chains, and sustainability networks. He explores blockchain applications, telemedicine integration, and environmental resource management. Recent work analyzes network effects in shipping platforms and the strategic use of bundling in supply chains. Dr. Perera has received prestigious awards including the INFORMS Financial Services Best Paper Award and the Outstanding Faculty Research Award. He actively contributes to academic publishing as a Guest Senior Editor for Production and Operations Management and an Associate Editor for Transportation Research Part E and OMEGA. Teaching excellence is reflected in his Bill Parish Award and courses on Global Supply Chains, Sports Analytics, and Predictive Analytics. His grants and collaborations include projects on elective surgery scheduling, telehealth platform coordination, and Fintech's impact on climate change. Leadership roles include executive positions in AI initiatives and conference co-chairships, emphasizing professional development and industry engagement. He advises initiatives on aligning development aid with Sustainable Development Goals and improving healthcare workforce efficiency.

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Ron KasznikView profile

Professor

Stanford UniversityUnited States

Ron Kasznik is the Paul L. and Phyllis Wattis Professor of Management at the Stanford Graduate School of Business (GSB), specializing in financial accounting and its interactions with capital markets. His research examines corporate voluntary disclosures, executive compensation, and strategic use of financial information. He has held academic appointments at Stanford since 1995, following a PhD from UC Berkeley. Education: PhD in Accounting, UC Berkeley (1995) MS in Accounting, Hebrew University of Jerusalem (1994) BA in Accounting, Hebrew University of Jerusalem (1989) Research focuses on disclosure strategy, earnings management, and the impact of accounting standards such as SFAS 123. Notable areas include stock option-based compensation, mergers and acquisitions, and the effects of disclosure timing on investor attention. Recent work explores AI-driven sentiment analysis in earnings guidance and cultural influences on M&A decisions. Awards include the Business School Trust Faculty Fellow (2022–23), GSB Trust Faculty Fellow (2015–16), and Sloan Teaching Excellence Award (2005). Administrative roles include Director of the Francisco Partners Leadership Program and Mergers and Acquisitions initiatives. He co-leads the Directors’ Consortium and contributes to Stanford GSB’s strategic academic and professional development programs. His interdisciplinary research bridges accounting, finance, and corporate governance, with a focus on practical implications for capital markets and managerial decision-making.

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Ian ReadView profile

Professor

Soka University of AmericaUnited States

Ian Read is a Professor of Latin American Studies at Soka University of America , where he has taught since 2009. He serves as Senior Fellow at the Soka Institute for Global Solutions, Brazil Coordinator, and Co-Director of the Center for Race, Ethnicity, and Human Rights, with previous roles including Director of International Studies and lecturer at Stanford University. His work bridges history, sustainability, and AI ethics in education. Education : PhD in History (Stanford University), MA in Social Sciences (University of Chicago), BA in International Studies (DePaul University) Research interests include: Historical epidemiology and disease impact on Latin American societies Slavery, race, and social hierarchies in Brazil AI ethics and governance in liberal arts institutions Sustainability education through field-based learning Globalization and economic networks in Latin America Publications focus on Brazil's epidemiological history, slavery dynamics, and recent AI ethics work, with two monographs and over 20 peer-reviewed articles. His scientific awards include the Frederick Burkhardt Residential Fellowship and Fulbright–Hays Fellowship. Frederick Burkhardt Residential Fellowship (2016–2017) Professor of the Year Award (2012) NEH Digital Fellowship (2008–2009)

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Ina Maria SebastianView profile

Researcher

Massachusetts Institute of TechnologyUnited States

Dr. Ina Maria Sebastian is a Research Scientist at the MIT Sloan Center for Information Systems Research (CISR), focusing on how large enterprises adapt to the digital economy. Her research spans digital partnering strategies, value creation in digital models, ecosystem business models, and healthcare IT systems. She holds a Ph.D. in Information Systems Management from the Shidler College of Business, University of Hawaii. Education: Ph.D. in Information Systems Management, Shidler College of Business, University of Hawaii (prior to 2014) Research Interests: Her work explores digital transformation, including digital partnering, organizational redesign, and the role of digital capabilities in healthcare coordination. Recent studies address AI maturity models, digital sustainability strategies, and corporate carbon reporting tools. Key Themes in Articles: Her publications analyze enterprise strategies for digital value capture, payment platform collaboration, healthcare data sandboxes, and AI adoption phases. Case studies include Anthem, Northwestern Mutual, and Vestas. Honors and Grants: None explicitly listed in the provided texts. Labs/Teams: Active within MIT CISR, a leading research center studying digital business challenges.

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Barbara WixomView profile

Researcher

Massachusetts Institute of TechnologyUnited States

Barbara Wixom is a Principal Research Scientist at MIT's Sloan School of Management, leading the Center for Information Systems Research (CISR). She specializes in data monetization and AI adoption, focusing on how organizations derive business value from data assets. Her work bridges academic research and industry practice, with a global impact through collaborative projects and advisory roles. Prior to MIT, she was a tenured professor at the University of Virginia (UVA), where she received multiple teaching awards. Affiliations: MIT CISR, MIT Sloan, Australian Research Council's CIRES International Expert Panel Key Roles: Leads the MIT CISR Data Research Advisory Board (100+ executives), co-authors research with Australian universities, external doctoral examiner Her research emphasizes treating data as strategic products, distinguishing between data assets and solutions. She advocates for a product mindset in data management to drive profitability and innovation. Wixom’s 2023 book Data is Everybody’s Business promotes inclusive data engagement across organizations. Recent publications explore AI scaling, generative AI governance, and data monetization strategies. She actively advises on balancing risks and innovation in AI adoption, as well as fostering data-driven cultures. Awards: Teradata Hugh J. Watson Award (2017) AIS Outreach Practice Publication Award (2021) UVA All-University Teaching Award (2002, 2010) Wixom collaborates with industry leaders like Anthem, GE, and Satellogic, analyzing case studies to inform actionable insights. Her work on data liquidity and enterprise agility highlights practices for sustaining profit through data product management. She also champions diversity in data careers, encouraging underrepresented groups to pursue data-related roles.

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Corentin BurnayView profile

Researcher

University of NamurBelgium

Corentin Burnay is a Researcher at the University of Namur's Namur Digital Institute, specializing in information systems, blockchain, and digital transformation. His work focuses on business process modeling, decision support systems, and e-government solutions. He holds a PhD in Economics from the University of Namur (2016) and has led numerous research projects, including 'TIRCIS: Improving decision-making within organizations' and 'BECODIGITAL: Digital Co-Creation of Public Services with Citizens.' His research interests span blockchain-enabled business processes, data-driven dashboard design, and citizen-centric digital governance. Notable contributions include frameworks for reducing information overload in policy-making and artifact-centric modeling for blockchain solutions. Burnay has been recognized with the Distinguished Paper Award at CAiSE 2014. He actively participates in academic activities, organizing workshops on blockchain for information systems and delivering invited talks on data value measurement. His projects emphasize cross-disciplinary collaboration, addressing challenges in supply chain digitization, public service innovation, and sport management analytics.

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Natalie SmithView profile

Associate Professor

University of SydneyAustralia

Dr. Natalie Smith is an Associate Professor in Practice at the John Grill Institute for Project Leadership, University of Sydney, focusing on digital transformation governance and AI in public sectors. Her roles emphasize industry collaboration and professional scholarship, with expertise in project assurance, leadership, and organizational change. She holds a PhD (2021) and has been a research fellow exploring trustworthy AI in government. Current research addresses digital project assurance frameworks and digital mindset development for organizational leaders. Education: PhD in Transformation Governance (University of Sydney, 2021), Dean’s Award recipient. Prior to academia, she was a Partner at Deloitte’s Risk Advisory, managing complex digital transformations, including establishing Queensland’s Chief Delivery Officer role. She also served as an Adjunct Associate Professor in digital transformation education. Research interests span governance of digital transformation, AI ethics, and leadership strategies for digitally enabled organizations. Her work bridges academia and industry, addressing challenges in healthcare, government, and non-profits. She serves on non-executive boards for health and community organizations and contributes to the National AI Centre Thinktank. Key contributions include frameworks for delivery confidence in digital projects, strategies for immune monitoring in remote healthcare, and theoretical advancements in complex problem-solving. Awards include the 2021 Dean’s Award for her doctoral research. Advising and grants: No formal advisees listed, but her executive education programs engage industry leaders. Grants and partnerships likely tied to her research in project leadership and AI governance. Active in collaborative projects with government and healthcare stakeholders. Labs/Teams: Collaborates through the John Grill Institute and National AI Centre Thinktank. Engages in cross-disciplinary teams focused on digital innovation and ethical AI implementation.

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Lindsey GodwinView profile

Professor

Champlain CollegeUnited States

Lindsey Godwin is the Robert P. Stiller Endowed Chair of Management and Professor at Champlain College’s Stiller School of Business, where she also serves as Academic Director of the Cooperrider Center for Appreciative Inquiry (AI). She holds a Ph.D. in Organizational Behavior from Case Western Reserve University, an M.S. in Conflict Analysis and Resolution from George Mason University, and a B.A. in Psychology & Sociology from Ohio Wesleyan University. Her expertise lies in Appreciative Inquiry, Management & Organizational Behavior, and Socially Responsible Businesses. She has been recognized with Champlain’s Edward Lyman Phelps Professorship, its highest faculty honor, and her article on Earthshot OD was named among the most impactful in Organization Development. Godwin’s research focuses on creating transformative learning environments and advancing Organization Development (OD) practices. She leads Champlain’s MS in Leadership and MS in Organization Development & Human Relations programs and collaborates globally on initiatives like the AI Practitioner Journal. Her work bridges theory and practice, emphasizing generative change and positive institutional frameworks. She is a sought-after speaker and consultant, advocating for ethical, inclusive, and innovative organizational approaches. Notable contributions include co-editing a special issue on Positive Institutions in the International Journal of Appreciative Inquiry and developing the AI Scale. Her articles span topics from inclusive leadership to moral imagination in decision-making. Professional activities include advising on global OD strategies and fostering cross-functional collaboration in workplaces. She also champions initiatives like Earthshot OD, aiming to align organizational practices with ecological and societal flourishing. Godwin’s academic and practice contributions are complemented by her role as a pragmatic optimist, seeking possibilities in challenges. She leads workshops and summits to translate AI principles into actionable strategies, emphasizing collective leadership and adaptive cultures.

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Julia KrönungView profile

Professor

FernUniversität in HagenGermany

Overview Dr. Julia Krönung is a University Professor at FernUniversität in Hagen's Faculty of Business Administration and Economics, leading the Business Information Systems Group (BIGSI). She previously held academic roles including Head of the Information Systems Chair at EBS Business School (2019-2022) and Assistant Professor at the University of Mannheim (2014-2019). Her research focuses on digital diversity, e-government solutions, and inclusive design of socio-technical systems. Educational Background PhD in Business Informatics (2014), Goethe University Frankfurt Diploma in Business Administration (2009), Goethe University Frankfurt Research Interests Prof. Krönung's work addresses critical societal challenges through technology, including: Designing accessible systems for digitally disadvantaged groups Ethical implications of process data and AI Reducing stigma in digital government services Age-related IT adoption barriers Blockchain applications in industry Professional Contributions She serves on editorial boards for leading journals and reviews for major conferences like AMCIS and ECIS. Her team's work has been presented at top venues including Hawaii International Conference on System Sciences and International Conference on Information Systems. Labs & Collaborations As head of BIGSI, she leads interdisciplinary projects involving industry partners to develop innovative solutions addressing digital inclusion and ethical technology deployment.

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