Unnati Narang is an Assistant Professor of Business Administration and John M. Jones Fellow of Marketing at the University of Illinois Urbana-Champaign's Gies College of Business. She also holds affiliations with the Deloitte Foundation Center for Business Analytics, the University of Illinois-Personalized Nutrition Initiative, and the Informatics Department. Her research focuses on mobile marketing, consumer mobility, and digital engagement, employing methods like causal modeling and machine learning. She has published in leading journals like Journal of Marketing Research and Marketing Science . Education: PhD in Marketing (Texas A&M University), Master of Commerce (Delhi School of Economics), Bachelor of Commerce (Shri Ram College of Commerce). Research Interests: Mobile Marketing, Service Marketing, Retailing, AI applications in education, and consumer mobility. Methodological strengths include econometrics and deep learning. Awards: 2023 Poets&Quants Professor of the Year, 2022 Excellence in Research Award, multiple Emerging Scholar recognitions, and the PITA Award for AI in education. Teaching: Courses include Marketing Analytics, Business Analytics, and MOOCs with over 60K enrollments. She founded the Marketing Analytics Group (MARG) at UIUC and mentors doctoral committees. Labs/Teams: Active in the Deloitte Analytics Center, UIUC’s Personalized Nutrition Initiative, and collaborates with global institutions like Rotman School of Management and INSEAD.
Mizuki Mazzotta is an Assistant Teaching Professor in the Department of Russian and East Asian Languages and Cultures at Emory University, where she also serves as Japanese Language Coordinator. Her academic journey includes a Ph.D. in Applied Linguistics from Georgia State University (2018) and M.A. degrees in Linguistics (McGill University) and Applied Linguistics (University of South Florida). Her research focuses on instructed second language acquisition, particularly the role of affect and sociocultural theory in L2 learning. She has extensive experience teaching Japanese language courses and mentoring students at Emory and previous institutions like Georgia State University. Education: Ph.D., Applied Linguistics, Georgia State University (2018) M.A., Linguistics, McGill University (2005) M.A., Applied Linguistics, University of South Florida (1997) B.A., English Literature, Soka University (1995) Research Interests: Instructed Second Language Acquisition Corrective Feedback in L2 Writing Sociocultural Theory in Language Education Learner Affect and Motivation Technology-Enhanced Language Learning Cultural Awareness in Language Instruction Awards & Grants: Recipient of multiple grants including the KAKENHI Grant (Japan), Mellon Humanities Pathways Grant, and Emory College Pedagogy Mini-Grant. Member of honor societies: Phi Beta Delta and Golden Key International. Service & Leadership: Executive Committee Member, Emory College Language Center Organizer of Japanese Program Guest Speaker Talks and Cultural Events Reviewer for Language Teaching Research and other academic journals Interviewer for the Japan Exchange Teaching Program Teaching & Mentorship: Instructor of Japanese language courses at Emory and Georgia State University Developer of study abroad programs in Japan and internship collaborations Mentor for Japanese interns and temporary faculty
Lobsang Tenzin Negi is a Teaching Professor in Emory University’s Department of Religion and Executive Director of the Center for Contemplative Science and Compassion-Based Ethics (Emory Compassion Center). He leads initiatives integrating Tibetan Buddhist contemplative practices with modern scientific research, including developing programs like Cognitively-Based Compassion Training (CBCT®), the Emory-Tibet Science Initiative (ETSI), and the SEE Learning® framework. Born in a Himalayan region, he holds a PhD from Emory University and a Geshe Lharampa degree from Drepung Loseling Monastery. His work bridges contemplative science, education, and global ethics, emphasizing compassion as essential for human flourishing. Education: PhD, Emory University, 1999 (interdisciplinary dissertation on Buddhist and Western approaches to emotions) Geshe Lharampa, Drepung Loseling Monastic University, 1994 (highest Tibetan monastic degree) MA, Institute for Buddhist Dialectics, 1984 Research & Programs: Compassion Science: Examines compassion’s effects on mental/physical health and social well-being through CBCT®. ETSI: Develops modern science curricula for Tibetan monastics, training them as educators and researchers. SEE Learning®: Global K-12/Higher Ed framework for social, emotional, and ethical education. Mind-Body Sciences Program: Offers study abroad courses in India, integrating Tibetan Buddhism with Western science. Recent Article Trends: Focus on compassion’s applications in healthcare (PTSD, depression, HIV), education (SEL frameworks), and interdisciplinary mind-body research. Studies emphasize measurable impacts on neurology, immune response, and behavioral outcomes. Awards & Honors: While no specific prizes are listed, his leadership roles and global partnerships (e.g., with His Holiness the Dalai Lama) reflect recognition in contemplative science and intercultural education. Grants & Advising: Oversees multi-year initiatives like Tibet Week and the Emory-Tibet Partnership renewal. Advises on global compassion programs and collaborates with institutions like the Piramal Foundation in India. Labs/Teams: Directs the Emory Compassion Center and collaborates with Drepung Loseling Monastery, Emory’s Institute of Tibetan Studies, and international partners to advance compassion-based research and education.
Chen Zhi is an Assistant Professor in the Department of Analytics and Operations at the NUS Business School, National University of Singapore, where he has been employed since July 2020. His academic work focuses on operational challenges in innovation-driven value chains, with particular expertise in new product development, innovation sourcing, AI economics, and wisdom of crowds methodologies. Dr. Chen received his Ph.D. in Management (Decision Sciences) from INSEAD (2014-2020) and his B.E. with First Class Honors in Industrial and Systems Engineering from the National University of Singapore (2009-2013). During his academic journey, he completed an overseas exchange at the Georgia Institute of Technology and a research internship at École Polytechnique in France. Chen's research spans two primary streams. The first addresses R&D phase challenges in new products, examining how firms can optimally design supplier bases and informational policies to procure innovation from suppliers, with recent focus on policy impacts on AI-based product development such as autonomous vehicles. The second stream investigates demand forecasting for new products, exploring how to aggregate diverse expert insights into consensus forecasts and quantify underlying uncertainty through obtained forecasts. His publication record demonstrates a strong trajectory in top-tier operations and management journals, with recent work appearing in Management Science, Manufacturing & Service Operations Management, and International Journal of Forecasting. Chen's research shows increasing focus on AI development challenges, uncertainty quantification in forecasting, and strategic approaches to innovation sourcing in complex technological environments. At NUS Business School, Chen teaches Managerial Operations and Analytics for the MBA program and Decision Analytics Using Spreadsheets for undergraduate students. Previously at INSEAD, he taught tutorials for Uncertainty, Data and Judgment, and Production and Operations Management courses.
Jennifer A. Sandlin is an Associate Professor of Justice and Social Inquiry in the School of Social Transformation at Arizona State University (ASU). Her work focuses on public pedagogy, popular culture, and the intersections of education with consumption. She teaches courses on consumption and education, social justice, and cultural pedagogy. Sandlin holds a Ph.D. in Adult Education from the University of Georgia (2001), with a dissertation on educational programs for welfare recipients. She has authored/co-edited numerous books, including Paranoid Pedagogies (2018) and Critical Pedagogies of Consumption (2010), and has published widely in journals such as Journal of Consumer Culture and Adult Education Quarterly . Her research explores anti-consumerism activism, informal learning through popular culture, and the theory/practice of public pedagogy. She co-edits the Journal of Curriculum and Pedagogy and serves on editorial boards for multiple academic journals. Sandlin has received awards including the Early Career Award from the Commission of Professors of Adult Education (2005) and recognition as an Emerging Scholar by the American Association of University Women (2005). Her recent work addresses conspirituality, eco-horror, and pandemic pedagogies, reflecting her commitment to critically examining cultural and social structures. She actively engages in public scholarship through co-edited volumes and research on topics like Disney’s cultural curriculum and the political economy of consumption.
Michael Karas is an Assistant Professor of Applied Linguistics at Brock University's Faculty of Social Sciences. He holds a PhD from the University of Western Ontario (2019). His research focuses on language teacher self-efficacy, reflective practice, and learner silence, with notable contributions to meta-analyses in language education. He teaches courses such as Second Language Acquisition (LING 3Q91) and Pedagogical Grammar (LING 5P02). Karas serves as Book Review Editor for the TESL Canada Journal and TESL Ontario Academic Coordinator, demonstrating active engagement in academic service. Education : PhD in Applied Linguistics, University of Western Ontario (2019) Research Specialization : Explores intersections between teacher proficiency, classroom dynamics, and innovative methodologies like duoethnography. His work bridges theoretical research with practical applications in teacher education and language policy. Service Contributions : Editorial roles at TESL Canada Journal (2017–present) Coordinator for TESOL Doctoral Forum (2017–2018)
Alnoor Ebrahim is the Thomas Schmidheiny Professor of International Business at The Fletcher School and Tisch College of Civic Life, Tufts University. He holds a PhD in Environmental Planning & Management from Stanford University and is a leading scholar in social impact measurement, nonprofit governance, and leadership for systemic change. PhD, Environmental Planning & Management, Stanford University (1999) MS, Civil/Environmental Engineering, Stanford University (1994) BSc, Civil/Environmental Engineering, Massachusetts Institute of Technology (1991) His research focuses on accountability mechanisms within nonprofits, strategic leadership for social change, and the governance of hybrid organizations . He explores how businesses, NGOs, and public agencies can balance competing stakeholder demands while addressing system-level challenges like global poverty. Professor Ebrahim’s publications highlight lean data methodologies , NGO governance , and social performance frameworks . His work spans books, journal articles, and policy reports with a consistent emphasis on performance metrics and organizational accountability across sectors. Scientific Awards & Recognitions Excellence in Sustainable Finance Education (2022) Terry McAdam Book Award (2020) James L. Paddock Teaching Award (2018) Pantheon Recognition (2017) Outstanding Book Award (2004) Carlo Masini Award for Innovative Scholarship (runner-up, 2010) He has served on advisory boards for the Stanford Social Innovation Review , the World Bank’s GPSA , and the G7 Social Impact Investment Taskforce . His teaching includes executive programs at Fletcher, Harvard, and Georgetown, with prior roles at Harvard Business School and Virginia Tech.
Xinya Du is an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a Ph.D. in Computer Science from Cornell University and completed a postdoctoral fellowship at the University of Illinois at Urbana-Champaign. Her research focuses on advancing trustworthy and impactful AI systems, particularly in Natural Language Processing (NLP), Large Language Models (LLMs), and Vision-Language Models (VLMs). Key research areas include Document understanding and knowledge acquisition Trustworthy reasoning and hallucination detection in LLMs Applications of NLP in scientific research and multimodal systems Alignment of AI systems with human values Dr. Du has received notable awards such as the NSF CAREER Award (2024), Amazon Research Award (2023), and recognition as a Spotlight Rising Star in Data Science. She has authored over 30 papers in top venues like ACL, EMNLP, NeurIPS, and CVPR, contributing to foundational work in multimodal reasoning, LLM evaluation, and automated scientific hypothesis generation. She teaches advanced courses including CS 6301: Special Topics in Computer Science - Deep Learning for NLP and actively mentors students in research projects. Her work has been highlighted in major media and led to impactful open-source contributions, including repositories for event extraction and LLM benchmarking.
Dr. Mary Ann Hunter is Associate Professor in Education at University of Tasmania, specializing in arts-based enquiry and transformative educational practice. Her work explores creative ecologies and reflective supervision frameworks for educators, examining how curiosity and nomad creativity shape learning across formal and informal contexts. Research examines: Arts-based peacebuilding methodologies Reflective supervision for educational leaders Creative ecologies in learning environments Arts-sustainability education connections Community cultural development She leads international networks including IMPACT (initiative for conflict transformation) and coordinates interdisciplinary research projects evaluating arts-based programs like Terrapin Puppet Theatre's dementia care initiative and APRA AMCOS's Songmakers residency program. Honors include the Australian Philip Parsons Prize for Research and Excellence in Leadership Award from the Australian Council for Educational Leadership.
Ben Li is an Associate Professor in the Department of Computer Science at the University of Manitoba, Faculty of Science. His research focuses on combinatorics and theoretical computer science, including combinatorial design theory (e.g., Steiner triple systems, BIBDs, difference sets), graph theory, and algorithm design for combinatorial optimization problems. He also explores approximation algorithms for NP-Hard problems and subclasses of such problems with polynomial solutions. Dr. Li teaches a wide range of courses, including COMP 1010 (Introduction to Computer Science), COMP 2080 (Analysis of Algorithms), and advanced graduate courses like COMP 7720 on approximation algorithms and combinatorial optimization. His academic contributions span both theoretical computer science and interdisciplinary archaeological studies, as reflected in his publications. His recent work includes studies on ostrich eggshell beads' role in prehistoric social networks, archaeological site analysis in southern Africa, and medical education reforms in Canada. While his primary research aligns with computer science theory, his published articles also highlight interdisciplinary interests in anthropology, archaeology, and healthcare policy.
Yue Zhao is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University, with an affiliated appointment in Applied Mathematics and Statistics. Prior to this, she held postdoctoral positions at Stanford University and Princeton University. She earned her Ph.D. from UCLA in 2011 and B.E. from Tsinghua University in 2006. Her research focuses on smart grid systems, renewable energy integration, machine learning applications in power systems, and game-theoretic approaches to electricity markets. Key areas include transportation electrification, demand response mechanisms, and cyber-physical security of grid infrastructure. She teaches courses on digital signal processing, convex optimization, and communication systems. Her work spans over 50 publications in top journals and conferences like IEEE Transactions on Power Systems and ACM e-Energy. Notable contributions include dynamic state estimation frameworks for inverter-based resources, incentive-compatible market mechanisms for renewable aggregation, and cyber attack detection methodologies. Dr. Zhao advises a research group focused on interdisciplinary challenges in energy systems. Current openings exist for Ph.D. students with strong analytical backgrounds. Sponsors include NSF, DOE, and industry collaborators.
Professor Mehmet Demirbag serves as Deputy Dean of Essex Business School and Professor of International Business at the University of Essex. Previously, he held significant leadership roles including Vice Dean (Internationalisation) and Head of Department of Strategy and Organisation at Strathclyde Business School, and Chair in International Business at the University of Sheffield Management School. His extensive academic career spans over a decade in UK higher education institutions with specialized expertise in international business strategy. Dr. Demirbag completed his Master's degree in Business Analysis at the University of Leicester and earned his PhD at the University of Bradford Management School. His educational background established the foundation for his research focus on international business phenomena, particularly regarding emerging economies and multinational enterprises. His research interests center around internationalisation of R&D activities, offshore R&D, FDI location choice, product and regional diversification strategies of MNEs, multinationals from emerging countries, international mergers and acquisitions, and reverse knowledge transfer by emerging country MNEs. These interconnected research streams examine how firms navigate global markets, particularly focusing on the strategic behavior of emerging market multinationals and their interactions with developed economies. Analysis of his recent publications reveals consistent thematic patterns across international business, strategic management, and human resource management domains. His work demonstrates particular emphasis on emerging market multinationals, cross-border knowledge transfer mechanisms, international strategic decision-making in uncertain environments, and the institutional contexts shaping multinational enterprise behavior. The interdisciplinary nature of his research bridges theoretical frameworks from international business, strategic management, and organizational studies. Professor Demirbag maintains active editorial roles as consulting editor of the Journal of International Management and advisory editor of Eurasian Business Review. He has co-guest edited special issues for numerous prestigious journals including British Journal of Management, Human Resource Management, Journal of World Business, and International Business Review, among others. His editorial contributions span research areas related to emerging market MNEs, MNEs in emerging markets, transitional periphery contexts, and human resource management in uncertain environments. As an educator, Professor Demirbag teaches International Business and International Strategic Management at undergraduate, postgraduate, and executive levels. His supervision portfolio includes doctoral candidates such as Selman Alisan Gemuhluoglu and previously guided Koushik Das Sarma to completion of their PhD in Business Administration. His research has received funding from various sources including the European Commission, and his work on FDI and SMEs has contributed to REF impact cases at both the University of Bradford and the University of Sheffield.
Jordan Kidney is a Lecturer in the Department of Mathematics & Computing at Mount Royal University (MRU), where he has taught since 2011. His academic background includes a B.Sc. and M.Sc. in Computer Science from the University of Calgary (2003 and 2006, respectively). Kidney’s teaching focuses on introductory and advanced programming, systems architecture, operating systems, and web development. His research interests span Artificial Intelligence, particularly machine learning and multi-agent systems. He is recognized for contributions to educational methodologies in computer science and the development of tools like the ARES Simulator for multi-agent systems research. Education: M.Sc. Computer Science, University of Calgary (2006) B.Sc. Computer Science, University of Calgary (2003) Research Interests: Kidney’s work emphasizes AI applications, including machine learning algorithms and multi-agent systems. He explores emergent behavior testing, cooperative behavior learning, and educational frameworks for complex topics like MAS. His research often intersects with practical tools, such as the ARES Simulator, which he has refined to enhance teaching and testing methodologies. Articles Trends: His publications highlight two key areas: computer science education for non-majors and multi-agent systems research. Recent work (2018) addresses course design challenges for interdisciplinary students, while earlier contributions (2002–2006) focus on ARES-based testing and cooperative behavior analysis in MAS. His earlier studies (2003) also explored genetic algorithms and diversity-driven optimization. Grants & Advising: No advising roles or grants are explicitly listed in the provided information.
A/Prof HO Han Kiat is an Associate Professor in the Department of Pharmacy and Pharmaceutical Sciences at the National University of Singapore. His research focuses on chronic liver disease progression (from fatty liver to cancer) and drug-induced liver injury mechanisms. He explores nanomaterial applications in disease modification and drug delivery, using techniques like high-throughput sequencing and preclinical collaborations with clinicians. His work bridges cancer biology and toxicology, emphasizing clinical relevance through patient sample correlations. He teaches courses such as PR4207 Applied Pharmacokinetics & Toxicokinetics and FSC4203 Forensic Toxicology & Poisons. His lab’s vision involves developing molecular interventions for liver disorders through in vitro/vivo models. Notable interests include nanomaterial toxicity, hepatoprotective strategies, and cytokine profiles in cognitive impairment post-chemotherapy. Recent articles highlight studies on BDNF biomarkers, gold nanoparticle vascular targeting, and therapeutic hypothermia for hepatotoxicity. His research integrates genetic polymorphism analysis (e.g., CYP7A1) with drug metabolism studies, emphasizing personalized medicine approaches. HO’s work also addresses educational innovations in pharmacy curricula and assessment design, reflecting his dual focus on clinical research and pedagogy.
Dr. Neal Bangerter is a Visiting Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He specializes in medical imaging (MRI), artificial intelligence, machine learning, and signal processing. Dr. Bangerter holds adjunct appointments at INSEAD, the University of Utah, and Brigham Young University. His research focuses on ultra-high field MRI, AI applications in healthcare, and data-driven bioscience technologies. He leads the London Collaborative Ultra-High Field Scanner (LOCUS) project and advises companies on AI and innovation strategies. Education: B.S. in Physics (UC Berkeley), M.S. and Ph.D. in Electrical Engineering (Stanford University). Career highlights include roles at McKinsey & Company, Microsoft, and Reactrix, as well as founding BYU's Medical Imaging Research Center. He has pioneered cross-faculty initiatives like the Crocker Innovation Fellowship Program. Research interests include novel MRI pulse sequences, AI in medical imaging, and large-scale health data analysis. His work spans collaborations with Stanford, Oxford, Cambridge, and Siemens Healthcare. He teaches executive education at INSEAD, focusing on bridging technical concepts with business strategies. Key awards include the David Evans Chair at Brigham Young University. His contributions to the UK Biobank Neuroimaging study and development of MRI techniques like RAFO-4 highlight his impact on advancing imaging technologies and AI applications in healthcare.
