Leonardo Becchetti is a Full Professor at the University of Rome Tor Vergata's Department of Economics and Finance, teaching Microeconomics and Topics in Applied Economics for the 2025-2026 academic year. Based in room P2 S55, he maintains an active research profile with email contact becchetti@economia.uniroma2.it. His research centers on Corporate Finance, Corporate Social Responsibility, and Happiness Economics, extending to Sustainable Development and Ecological Transition. He investigates how economic structures influence well-being through relational goods, generativity, and sustainability frameworks, employing game-theoretic and empirical methodologies to analyze climate action, AI impacts, and cooperative behavior. Analysis of his 2024-2025 publications reveals intensifying focus on ecological transition mechanisms, including renewable energy communities, circular economy governance, and sustainable investment models. His work increasingly integrates climate economics with behavioral insights, examining conditional cooperation in environmental actions and AI's disruption of labor markets. No scientific awards or student advising information is publicly documented. He participates in departmental research initiatives including DEF Seminars and ROBO Seminars, contributing to the university's research centers on economic and social impact.
Prof. Dr. Philipp A. Rauschnabel serves as Professor of Digital Marketing and Media Innovation at the University of the Bundeswehr Munich's Faculty of Business Administration. Recognized as one of the world's leading scientists in augmented reality, virtual reality, and metaverse research, he bridges academic theory with practical business applications across multiple industries. His educational background includes: Habilitation, Dr. habil; PD, Otto-Friedrich University of Bamberg Dr. rer. pol. (psychological brand management, 2014, summa cum laude), Otto-Friedrich University of Bamberg M.Sc. in Marketing and Distribution Management, Georg-August University of Göttingen (best of class) BA in Business (Marketing and Business Information Systems), Merseburg University of Applied Sciences (Top 10% graduate) Rauschnabel's research centers on the practical implementation of spatial computing technologies in marketing contexts. He has developed influential frameworks including the XR framework that redefines the relationship between augmented reality, virtual reality, and mixed reality. His work examines how these technologies transform consumer-brand relationships, workplace operations, and marketing strategies across retail, manufacturing, and service industries. He particularly investigates the psychological mechanisms through which AR/VR experiences influence consumer behavior, brand love, and purchasing decisions. Analysis of his recent publications reveals a clear progression from basic AR applications toward more sophisticated spatial computing environments and persistent metaverse experiences. His research demonstrates increasing sophistication in understanding contextual factors, emotional responses, and long-term consumer engagement with these technologies. The work consistently bridges theoretical marketing concepts with practical implementation challenges faced by businesses. His significant scientific recognition includes: Top 1% Scientist (Clarivate Highly Cited Researcher, 2023) Top 2% Scientist (Stanford List 2023) Microsoft Academics listed as one of the top 5 AR researchers worldwide based on citation output (2021) Named one of the top 15 AR marketing researchers worldwide (Kumar, 2021) Prof. Rauschnabel serves as Associate Editor for the Journal of Business Research and chairs the bdvb research institute. He has provided expert consultation to the German Federal Government on XR/Web3/Metaverse (2022) and regularly advises major corporations across multiple sectors including food, home appliances, insurance, automotive, and telecommunications across Germany, USA, Switzerland, China, and Austria. His practical consulting work complements his academic research, creating a valuable feedback loop between theory and practice. He leads multiple research initiatives on augmented reality marketing and spatial computing, collaborating with industry partners to develop practical applications of these emerging technologies. His work emphasizes the importance of understanding both the technological capabilities and human factors that determine successful implementation of AR/VR in business contexts.
Mohsen Malekinejad is an Associate Professor at the University of California, San Francisco (UCSF) School of Medicine and serves as the director of the Center for Resilient Societies and Technology (CREST) . He is a core member of the RESILIENT network at the University of California system, focusing on pandemic intelligence and community resilience. His career spans 20 years of public health experience with expertise in evidence-based medicine, systematic reviews, and translating research into policy. Education: DrPH (UC Berkeley, 2008), MPH (UC Davis, 2003), MD (Tehran Azad University, 1999), Postdoctoral Studies (UCSF, 2009) Dr. Malekinejad's research addresses health disparities among marginalized populations globally, focusing on substance use disorders, HIV/HCV, and pandemic response strategies . His work includes methodological innovations for sampling hard-to-reach groups (e.g., homeless populations, drug users) and economic evaluations of public health interventions . Recent publications highlight systematic reviews on topics like COVID-19 exposure notification systems, TB testing cascades, and HIV risk behaviors . His methodological strengths include respondent-driven sampling, meta-analysis, and health equity frameworks. He has led major projects funded by NIH, CDC, and WHO, including the California Department of Public Health's COVID-19 Exposure Notification system implementation. Dr. Malekinejad also maintains an active role in graduate-level public health education and collaborates across disciplines to strengthen translational research.
Armin Kirchknopf serves as a Junior Researcher at the Media Computing Research Group within the Institute of Creative Media/Technologies, Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. His interdisciplinary work bridges artificial intelligence, computer vision, and social media analysis, with significant contributions to misinformation detection and disaster response systems. Based at Campus-Platz 1 in St. Pölten, Austria, he actively collaborates on EU-funded projects and publishes in top-tier AI venues. His educational journey spans humanities and technology: a Bachelor of Arts in Egyptology and Master of Arts in Classical Archaeology from the University of Vienna (including fieldwork at excavation sites across Austria, Germany, and Egypt), followed by a Bachelor of Science in Media Technology from FH St. Pölten. This unique background informs his human-centered AI research approach. Kirchknopf's research centers on explainable multimodal AI systems for real-world challenges. His recent work demonstrates expertise in transformer-based architectures for cross-lingual fake news detection, sexism identification, and flood monitoring through social media imagery. He pioneers techniques like Grad-CAM for object detection explainability and develops visualization tools for complex data interpretation, emphasizing transparency and social impact in AI deployment. Analysis of his 13 publications (2017-2022) reveals a strategic shift toward applied AI in societal contexts , particularly using social media data for disaster management and combating online toxicity. His projects consistently integrate computer vision with natural language processing, showing increasing sophistication in multilingual capabilities and model interpretability frameworks. His scientific recognition includes: Creative Business Award for co-developing the Tenjin learning quiz application No documented student advisement or grant leadership appears in current records, though he actively mentors through project-based collaborations. His work with the Media Computing Research Group drives innovation in educational technology and public safety applications. Kirchknopf contributes to the Media Computing Research Group's portfolio including Fake News Detection, SAiEX (Safe AI with explainable integrity), InfraBase (building footprint segmentation), and Ressel Center music therapy projects. His cross-disciplinary collaborations span computer scientists, archaeologists, and social scientists, reflecting the group's commitment to human-centric technological solutions .
Thomas Schanding serves as Associate Professor and Department Head in the Department of Educational and Counselling Psychology, and Special Education at the University of British Columbia's Faculty of Education. He concurrently directs the Psychological Services and Counselling Training Centre. Previously, he held significant roles including core faculty in Special Education and Associate Director of Outreach and Leadership for the decade-long LoneStar LEND program at the University of Texas Health Science Center at Houston, alongside clinical supervision positions at Baylor College of Medicine/Texas Children’s Hospital. His educational foundation includes doctoral coursework at the University of Southern Mississippi (APA-accredited) and doctoral internship with Cypress-Fairbanks Independent School District (APA-accredited). Doctoral Coursework: University of Southern Mississippi Doctoral Internship: Cypress-Fairbanks Independent School District Dr. Schanding's research centers on social-emotional learning (SEL) and behavioral/mental health (B/MH) through three interconnected pillars: (1) assessment methodologies for SEL/B/MH, (2) evidence-based interventions to enhance youth well-being, and (3) cultural-linguistic considerations in school-community contexts. His clinical expertise spans Autism Spectrum Disorders and 2SLGBTQIA+ youth experiences, operating within Cognitive-Behavioral and Ecological theoretical frameworks. The SMART Lab ( https://blogs.ubc.ca/smartlab ) drives his applied research agenda focusing on inclusive practices and mental health promotion. Analysis of his recent publications reveals consistent emphasis on SEL assessment tools, helicopter parenting dynamics, and diversity-inclusive frameworks in school psychology. Key trends include validation studies of early literacy screeners, exploration of LGBTQ+ mental health predictors, and critical examinations of equity in educational literature, reflecting his commitment to evidence-based social justice. His scholarly contributions have been recognized through: President’s Distinguished Faculty Research Award, University of Houston – Clear Lake (2020) Group Teaching Excellence Award, University of Houston (2011) Early Career Scholar, Society for the Study of School Psychology (2009) As an educator, Dr. Schanding has supervised numerous practicum and intern students across settings including school districts and hospital systems. His leadership extends to directing the Psychological Services and Counselling Training Centre at UBC and previously leading outreach initiatives for neurodevelopmental disabilities through the LEND program. His teaching portfolio includes EPSE 506 (Applied Psychopathology), EPSE 555 (Academic & Social-Emotional Assessment), and specialized courses on Autism Spectrum Disorders. The SMART Lab (Social, Mental health, and Academic Research Team) operates as his primary research vehicle, conducting community-engaged projects on SEL implementation, mental health screening, and culturally responsive interventions for diverse youth populations, with particular attention to inclusive practices for 2SLGBTQIA+ students.
Leah Macfadyen is an Associate Professor of Teaching in the Department of Language & Literacy Education at the University of British Columbia (UBC), Faculty of Education. She serves as Coordinator for Curriculum & Instruction in the Master of Educational Technology (MET) program. With interdisciplinary training in experimental sciences and humanities, she bridges analytical rigor with cultural theory in her research on digital education and learning analytics. Her research spans learning analytics , digital literacies , and critical intercultural communication . Key projects include developing UBC’s Introduction to Global Citizenship online course (2005) and co-authoring MET program courses like ETEC 542. She explores ethical dimensions of ‘big data’ in education and data literacy challenges. Recent publications (2020–2023) focus on institutional learning analytics frameworks, curriculum NLP analysis, and ethical codes for practitioners. Collaborative work with Shane Dawson and others has been published in journals like Journal of Learning Analytics , Computers & Education , and Journal of Genetic Counselling . Key Themes : Intercultural communication in digital spaces, systems thinking for educational analytics, ethical implications of data-driven learning Courses Developed : ETEC 500, 520, 542, 543, 581, and 590
Luisa Wellert is a Research Associate at the Innovative Educational Technologies Department within the Tübingen Center for Digital Education (TüCeDE) at the University of Tübingen since September 2023. She is also a PhD student at TüCeDE since October 2022. Education: Master of Arts in Intermedia and General Educational Science (2020-2022) from University of Cologne Bachelor of Arts in Media Studies and Educational Science (2016-2019) from University of Tübingen Research Focus: Her work centers on media pedagogy , media didactics , and adaptive learning systems , with particular emphasis on AI integration in educational contexts. Recent projects examine automated qualitative coding of AI tutoring dialogues using large language models and effectiveness of self-developed adaptive systems in schools. Publications: Recent work analyzes assessment methodologies in adaptive learning systems, compares performance-based and cognitive load-based evaluation approaches, and explores implementation challenges of DIY adaptive technologies. She actively contributes to open-source AI tutoring initiatives through the OSATI project. Presentations: Luisa presents her research at major conferences including EARLI, LEAD Research Meeting, and GEBF Conference, focusing on practical implementations of AI-based educational tools and their cognitive impacts. Professional Activity: Prior to her current role, she served as Project Manager for Educational Research at TüCeDE (2022-2023) and worked as a Research Assistant at mmb Institut GmbH (2021-2022) and mecodia GmbH (2018-2020). She also has experience in media education and empirical media research.
Dr. Elizabeth Dunn is a Professor in the Department of Psychology at the University of British Columbia, Faculty of Arts. Her research examines how time, money, and technology shape human happiness, with a secondary focus on health. She co-authored the book "Happy Money: The Science of Happier Spending" with Dr. Michael Norton and has given talks at TED, PopTech!, and TEDx. Dr. Dunn earned her PhD from the University of Virginia in 2004. Her academic journey has been marked by numerous accolades, including being named a "rising star" by the Chronicle of Higher Education in 2004. Her research primarily focuses on the science of happiness, examining how prosocial spending, time management, and technology use affect well-being. She investigates how to promote rewarding social interactions using technology and how spending decisions shape happiness in everyday life. Her work has appeared in top journals, with three papers published in Science. Recent research has expanded into climate action framing, AI companionship effects, and recycling behavior. Dr. Dunn's research portfolio shows a consistent focus on practical applications of happiness science. Her work has evolved from examining basic happiness mechanisms to applying these principles to contemporary issues like climate change, digital technology impacts, and environmental behavior. She frequently employs experimental methods and large-scale data analysis to understand how small behavioral changes can significantly impact well-being. Royal Society of Canada's College of New Scholars, Artists and Scientists (2015) Society for Personality and Social Psychology Fellow (2014) Social Science and Humanities Research Council Impact Connection Award Finalist (2014, 2015) Killam Faculty Research Fellowship (2011) Killam Faculty Research Prize (2010) Robert E. Knox Master Teaching Award (2010) Canadian Institutes of Health Research New Investigator Award (2010) Mind Gym Academic Prize Honouree (2007) Peter Wall Institute for Advanced Studies – Early Career Scholar (2007) Chronicle of Higher Education Rising Star (2004) Dr. Dunn has supervised numerous graduate students through the UBC Psychology Department's MA and PhD programs. While she is not currently accepting new graduate students for fall 2025, her lab has been instrumental in training the next generation of happiness researchers. Her research has been supported by significant grants including the Killam Faculty Research Fellowship and the Canadian Institutes of Health Research New Investigator Award. She is also a co-author of influential books that translate academic research into practical advice for the public. Dr. Dunn leads an active research laboratory focused on happiness and well-being. Her team conducts experimental research examining how time, money, and technology shape human happiness. The lab has expanded its focus to include contemporary issues such as the impact of AI on social connection, climate action framing, and sustainable behavior. The lab's work combines rigorous experimental methodology with real-world applications to help people optimize their pursuit of happiness.
Suzanne Mason is a Professor of Emergency Medicine at the School of Medicine and Population Health , University of Sheffield, and a Consultant in Emergency Medicine at Sheffield Teaching Hospitals Trust. Her career spans over three decades, with a focus on evaluating complex interventions in urgent and emergency care, particularly for older adults and frail populations. Education: MBBS (1990), FRCS, FFAEM, MD (Emergency Medicine) Key Research Areas: Emergency care systems, clinical decision-making, geriatric emergency care, health informatics, and multi-centre mixed-methods studies Her research has directly influenced emergency care delivery, including studies on exit block in EDs , trauma networks , and digital ambulance records . She has led major projects such as Connected Health Cities (2016–2018) and RADOSS (risk prediction for seizures). Grants include £1.4 million from NIHR and £692,206 from the Department of Health . Scientific awards include an MD from Royal College of Surgeons Research Fellowship and leadership roles in NIHR-funded initiatives . She has pioneered collaborative models for ambulance services , care home integration , and frailty screening in EDs. Her work bridges clinical practice, policy evaluation, and digital innovation, with over 150 publications and mentorship in BMJ Open and Emergency Medicine Journal editorials.
Carolyn Conner Seepersad serves as the J. Mike Walker Professor of Mechanical Engineering at the University of Texas at Austin and directs the Center for Additive Manufacturing and Design Innovation. She holds membership in the U.T. System Academy of Distinguished Teachers and maintains active leadership in the additive manufacturing community through roles such as co-organizer of the Solid Freeform Fabrication Symposium and ASME Design Engineering Division Executive Committee membership. Her academic credentials include: PhD in Mechanical Engineering from Georgia Tech (2004) MA/BA in Philosophy, Politics and Economics from Oxford University (1998, Rhodes Scholar) BS in Mechanical Engineering from West Virginia University (1996) Dr. Seepersad's research centers on computational design methodologies and additive manufacturing innovation , with particular expertise in simulation-based design of complex systems, environmentally conscious product development, and materials engineering. Her work bridges theoretical design frameworks with practical manufacturing applications, emphasizing sustainability and performance optimization across aerospace, automotive, and energy systems. Current projects explore reactive extrusion additive manufacturing, negative stiffness materials, and machine learning integration for process-aware design. Analysis of her 15 most recent publications reveals a dominant focus on process innovation in additive manufacturing (70%), particularly stereolithography and selective laser sintering, with growing emphasis on data-driven design approaches (20%) and sustainable engineering applications (10%). Her work demonstrates consistent progression from fundamental material design toward integrated system optimization and industrial scalability. Her scientific recognition includes: International Outstanding Young Researcher Award in Freeform and Additive Manufacturing (2009) UT System Regents’ Teaching Award (2010) ASME Design Automation Committee Outstanding Young Investigator Award (2010) ASEE Outstanding New Mechanical Engineering Educator Award (2013) Multiple ASME and ASEE best paper awards U.T. System Academy of Distinguished Teachers membership Dr. Seepersad maintains an extensive advising portfolio with 48 graduate students (16 PhD, 24 MS, and 8 current) plus 2 postdoctoral researchers, reflecting sustained research productivity and educational impact. Her Product, Process, and Materials Design Lab fosters interdisciplinary collaboration between mechanical engineering, materials science, and computational design teams.
Travis J. Fuerst is an Assistant Professor of Practice at the School of Engineering Technology within the Purdue Polytechnic Institute at Purdue University, West Lafayette. He has held this position since 2022, previously serving in the Department of Computer Graphics Technology from 2016 to 2022. Before returning to academia, he accumulated over 13 years of industry experience at The Boeing Company as an Engineering Workplace Coach, IT Project Manager, and Continuous Improvement Leader, complemented by 21 years of military service in the U.S. Army Reserves where he retired as a Major from USTRANSCOM in 2017. His academic credentials include: Master of Science in Technology (Product Lifecycle Management) from Purdue University (2002) Bachelor of Science in Computer Graphics Technology from Purdue University (2000) with a minor in Organizational Leadership and Supervision Professor Fuerst specializes in Product Lifecycle Management (PLM), Project Management, Continuous Improvement, and Configuration Management, integrating Lean Manufacturing and Six Sigma methodologies into both industrial applications and educational frameworks. His instruction emphasizes practical skill development for industry readiness, leveraging extensive real-world experience to bridge theoretical concepts with professional practice in engineering technology fields. His publication portfolio demonstrates a clear trajectory toward integrating Product Data Management systems into engineering education, with emphasis on digital enterprise solutions and pedagogical innovation. Key themes include parametric solid modeling applications, collaborative project-based learning frameworks, and curriculum development for PLM implementation across undergraduate programs, reflecting his dual focus on technological advancement and educational transformation. His recognition includes: Purdue Polytechnic 2013 Early Career Award Professor Fuerst actively mentors undergraduate and graduate students through project-based design learning that cultivates higher-order thinking skills, directly applying his industry expertise in risk analysis, resource allocation, and cross-functional team leadership. His curriculum development work demonstrates sustained commitment to advancing engineering education practices through practical, industry-aligned methodologies. His leadership experience spans Boeing's continuous improvement initiatives and U.S. Army cyber operations, providing a robust foundation for developing team-based project management approaches that emphasize operational efficiency and strategic problem-solving in academic settings.
Dr. Erica C Jansen serves as Assistant Professor in the Department of Nutritional Sciences at the University of Michigan School of Public Health and holds a secondary appointment as Research Assistant Professor in Neurology. Her work bridges nutritional epidemiology and sleep science, focusing on lifespan health impacts with specialized attention to adolescent and women's health outcomes. Her educational foundation includes: PhD in Epidemiology, University of Michigan School of Public Health (2016) MPH in Epidemiology, University of Michigan School of Public Health (2014) BS in Biology, Hope College (2012) Dr. Jansen's research program centers on bidirectional sleep-nutrition interactions and their cardiometabolic consequences. Key pillars include: Early-life nutritional environments and puberty timing Objective sleep metrics (duration, timing, quality) and cardiometabolic risk Epigenetic mechanisms in sleep-diet-health pathways Toxicant exposures through dietary sources Life-stage specific analyses (adolescence, pregnancy, midlife) She primarily leverages the ELEMENT cohort—a 25+ year Mexican birth cohort—and complementary datasets like NHANES and BioCycle. Analysis of her 2021-2025 publications reveals consistent methodological approaches: Integration of actigraphy for objective sleep measurement Dietary pattern analysis over single-nutrient approaches Epigenome-wide assessments of circadian genes Focus on health disparities through socioeconomic and environmental lenses Strong emphasis on Mexican and US minority populations Her work increasingly incorporates machine learning for sleep data analysis and examines policy-relevant questions like food expenditure patterns. Current funding includes: NHLBI K01 grant (K01HL151673) examining sleep-cardiometabolic links in adolescents Gilmore Grant and MNORC Pilot funding for circadian gene methylation studies in pregnancy and midlife Dr. Jansen actively mentors through: NUTR703: Guiding MS students in thesis development and scientific communication PUBHLTH417: Teaching undergraduates to investigate sleep-nutrition interplay through hands-on research Her collaborative network spans Michigan Medicine, environmental health scientists, and international cohorts studying developmental origins of health. Her research team operates within the ELEMENT study infrastructure and partners with clinical departments to translate findings into public health interventions targeting sleep hygiene and dietary patterns for cardiometabolic risk reduction.
Farzin Zareian is a Professor in Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on performance-based earthquake engineering, collapse analysis, structural reliability, and structural control. Ph.D. in Structural Engineering, Stanford University (2006) M.S. and B.S. in Civil/Earthquake Engineering, Sharif University of Technology (1997, 1995) Zareian's research integrates analytical and experimental approaches to advance earthquake resilience in structural systems. Key areas include base plate connections, seismic response of asymmetric structures, and validation of simulated ground motions. His work with the Performance Based Earthquake Engineering Laboratory emphasizes practical applications in structural safety. Recent publications highlight innovations in column base modeling, seismic demand prediction, and infrastructure recovery frameworks. Notable trends in his 2021–2025 articles include machine learning for ground motion prediction, resettable structural systems, and probabilistic drift profile analysis for multistory buildings.
Sean B. Andersson is a Professor in the Department of Mechanical Engineering at Boston University's College of Engineering. His research focuses on optimal estimation, system identification, single particle tracking, robotics, and control theory. He earned his Ph.D. from the University of Maryland, College Park. Education : Ph.D. in Mechanical Engineering (University of Maryland, College Park) His work integrates control algorithms with applications in microscopy, nanofabrication, and multi-agent systems. Recent research trends highlight persistent monitoring, trajectory optimization, MRI reconstruction, and dip-pen nanolithography. He has mentored numerous graduate and undergraduate students, many of whom now hold positions at institutions like MIT Lincoln Labs, University of Pennsylvania, and Juniper Networks. Scientific Contributions : Developed robust multi-agent control policies for data harvesting Advanced single particle tracking with real-time feedback Innovated in non-raster scanning probe microscopy Optimized sensor scheduling via minimax and semidefinite programming His lab team combines theoretical and applied research in robotics and control systems, with alumni contributing to academia, industry, and research labs globally.
Dr. Reza Samavi is an Associate Professor at Toronto Metropolitan University's Department of Electrical, Computer, and Biomedical Engineering, Faculty of Engineering & Architectural Science. He is also a Faculty Affiliate with the Vector Institute for Artificial Intelligence and directs the Trustworthy AI Research Lab (TAILab). Previously, he served as Assistant Professor and eHealth Graduate Program Coordinator at McMaster University's Department of Computing and Software (2014-2020). Holding a PhD in Computer Science (University of Toronto, 2013), his academic journey bridges industry experience with rigorous scholarly contributions. His research lies at the critical intersection of Trustworthy AI , Machine Learning Security , and Medical Informatics . He investigates Safety & Security of ML Algorithms Privacy-Preserving AI Systems Transparency Frameworks for Medical AI Blockchain-enabled Privacy Auditing Game Theory for Model Robustness Optimization-based Anonymization Techniques The TAILab research group under his leadership has produced groundbreaking work in Uncertainty Quantification for Neural Networks Robustness Against Adversarial Attacks Medical Image Analysis Clinical Decision Support Systems Emergency Medicine Predictive Modeling His recent projects focus on enhancing migrant youth mental health through LLM-based conversation agents and developing certified robustness guarantees for ensemble networks. Dr. Samavi's scholarly excellence is recognized through Privacy Technologies Research Award (IBM) Privacy By Design Research Award (Ontario IPC) Bridging Divides Emerging Research Grant (TMU) NSERC PGS-D Recipient (Co-supervised student) SOSCIP Accelerator Grant He has secured major funding from NSERC , SOSCIP , MITACS , HHS , and IDEaS programs. As a dedicated educator, Dr. Samavi teaches graduate courses in Secure Machine Learning and Software Testing while mentoring 15+ graduate students across PhD , MASc , and MEng programs. His lab has presented at premier venues including AAAI , IJCAI , and IEEE Transactions while maintaining active collaborations with institutions like Harvard, ETH Zurich, and the University of Waterloo.
