Giovanni Pantuso is an Associate Professor at the Department of Mathematical Sciences, University of Copenhagen, specializing in stochastic programming and optimization under uncertainty . His work bridges mathematical methods with practical applications in transportation, logistics, and production planning. Education : PhD in Operations Analysis from the Norwegian University of Science and Technology (Feb 2014) Research Focus : Developing mathematical frameworks for decision-making under risk, with applications to maritime fleet renewal, car-sharing systems, and ride-sharing logistics. Teaching : Courses in Advanced Operations Research: Stochastic Programming, Risk Optimization, and Introduction to Numerical Analysis. His methodological contributions include novel algorithms for stochastic programming and decomposition methods, while applied work spans electric car-sharing systems, first-mile transportation challenges, and production planning under uncertainty. Current research explores dynamic fleet management and cost-service tradeoffs in shared mobility.
Mattias Brunström serves as Assistant Professor of Cardiology and Associate Professor of Epidemiology at Umeå University's Faculty of Medicine within the Department of Public Health and Clinical Medicine, Section of Cardiology. He is concurrently a resident physician at Norrlands University Hospital and holds leadership roles as chairman of Sweden's national hypertension working group and scientific secretary of the Swedish Society for Hypertension, Stroke and Vascular Medicine, with active participation in the European and International Societies of Hypertension. His academic foundation includes a 2018 PhD thesis examining blood pressure-lowering treatment effects across different blood pressure levels through systematic reviews and meta-analyses of randomized clinical trials. This doctoral work established his expertise in evidence-based cardiovascular therapeutics and epidemiological methodology. Dr. Brunström's research program centers on cardiovascular disease risk factors, with specialized focus on hypertension pathophysiology and aortic diseases. His group investigates how adolescent blood pressure levels predict future cardiovascular events, examining interactions with obesity, physical fitness, and diabetes to improve risk stratification. They also analyze differential effects of antihypertensive drug classes on cardiovascular outcomes and study risk factors for aortic dissection/rupture to optimize preventive surgical interventions. This work addresses critical gaps in managing the world's leading cause of death, where uncontrolled hypertension contributes to 10 million annual fatalities despite effective treatments. Analysis of his 2024-2025 publications reveals dominant themes in hypertension guideline development, treatment threshold controversies, and cardiovascular risk assessment. His work frequently challenges conventional approaches (e.g., questioning excessive treatment of 'elevated' blood pressure in elderly patients) while advancing evidence for lifestyle interventions and beta-blocker utility. Methodologically, his research leverages large cohort studies (including 1.4 million enlistee data), systematic reviews, and international collaborations through societies like ESH and ISH to translate epidemiological findings into clinical practice. Dr. Brunström leads multiple funded research initiatives including 'Remission of type 2 diabetes through eHealth' (2022-2028) and 'VIPviza' (2013-2027), directing a multidisciplinary team that bridges clinical cardiology, epidemiology, and public health. His advisory role extends to national guideline committees and international hypertension societies where he shapes clinical practice through evidence synthesis and position papers. Based at Norrlands University Hospital's Cardiology Section, his research group operates within Umeå University's strong cardiovascular research ecosystem, maintaining active collaborations with the Swedish National Diabetes Register and international consortia. Their work emphasizes real-world applicability, examining topics like bedtime dosing of antihypertensives and self-report diagnostic tools to overcome barriers in hypertension control where only 25% of affected individuals achieve target blood pressure levels.
Luis Alfonso Dau is a Professor at the D'Amore-McKim School of Business , Northeastern University, specializing in International Business & Strategy . His research bridges global strategy, institutional dynamics, and emerging market firms, with a focus on pro-market reforms, business groups, and sustainability. PhD in International Business/Strategy from the University of South Carolina Global MBA from Thunderbird/ITESM His work explores how informal institutions shape multinational enterprises (MNEs) in emerging markets, examining cultural faultlines, regional networks, and entrepreneurial ecosystems. He has received prestigious awards including the Fulbright Distinguished Scholar (2023-2024), John H. Dunning Visiting Fellowship, and multiple best paper and reviewer accolades. Dau serves on editorial review boards for top journals like the Journal of International Business Studies and acts as Area Editor for the Journal of International Business Policy . He has held leadership roles in the Academy of International Business (Vice President of Administration, 2018-2021) and Strategic Management Society. His research has been funded by FEMA and the Global Resiliency Institute, with recent projects investigating institutional development in family firms and the interplay between immigrant concentration and entrepreneurship. He is also a co-owner of Promotora Dinámica de Negocios, demonstrating practical engagement with business operations.
Kristin Y. Pettersen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering. She holds a PhD and MSc in Engineering Cybernetics from NTNU and serves as an Adjunct Professor at the Norwegian Defence Research Establishment (FFI). She co-founded and led Eelume AS as its first CEO. PhD in Engineering Cybernetics, NTNU MSc in Engineering Cybernetics, NTNU Her research focuses on nonlinear control theory, motion control of mechanical systems, and marine robotics. Key areas include autonomous vehicles, underactuated systems, and cooperative control. Her recent work involves snake robotics, vehicle-manipulator systems, and safety-critical control algorithms. Her publications demonstrate trends in marine robotics , nonlinear control systems , autonomous navigation , formation control , and adaptive algorithms . Emerging topics include energy-shaping control , extremum-seeking optimization , and task-priority frameworks for complex robotic systems. 2025: Norwegian Academy of Science and Letters (DNVA) 2020: ERC Advanced Grant 2017: IEEE Fellow 2016-2021: Board member, Eelume AS 2013-2023: Key scientist, NTNU AMOS She has supervised 30 PhD graduates and currently mentors 16 PhD candidates. Her grants include ERC PoC UR4energy (€150k), ERC AdG CRÈME (€2.5M), and CAROS (NOK 45M) for subsea autonomy. She leads teams at NTNU's Applied Underwater Robotics Laboratory and contributes to the Cluster of Excellence IntCDC.
Jiaxuan Li is an Assistant Professor of Geophysics in the Department of Earth and Atmospheric Sciences at the University of Houston's College of Natural Sciences and Mathematics. His research focuses on developing fiber-optic sensing technologies for seismic monitoring across diverse geological environments including volcanic, crustal, and glacial settings. Dr. Li's educational background includes a Ph.D. in Geophysics from the University of Houston (2015-2020) and a B.S. in Geophysics from Peking University (2011-2015). He previously held a postdoctoral position at Caltech Seismolab under Prof. Zhongwen Zhan. His research program centers on distributed acoustic sensing (DAS) applications, with major contributions in volcanic eruption forecasting through minute-scale magma migration imaging, earthquake rupture dynamics via high-frequency fault asperity analysis, and subsurface characterization for carbon sequestration and geothermal energy. Recent work demonstrates DAS capabilities as dense geodetic arrays for real-time volcanic monitoring systems deployed in Iceland through collaborations with the Icelandic Met Office and Reykjavik University. Analysis of Dr. Li's publication record reveals a strong emphasis on operationalizing fiber-optic networks for geophysical monitoring, with significant advancements in eruption early warning systems, earthquake source characterization, and subsurface imaging techniques. His work bridges fundamental seismological research with practical hazard mitigation applications. Dr. Li actively mentors graduate students and recently welcomed postdoc Dr. Tianfan Yan to his research team. His lab operates real-time DAS streaming systems for volcanic eruption monitoring in Iceland, developed through international collaborations involving the University of Houston, Caltech, Ljósleiðarann, and Reykjavik University. Current research directions include expanding DAS applications for carbon sequestration verification and deep geothermal reservoir characterization.
Xuan Zhang is an Associate Professor at the Department of Information and Communication Technology, University of Agder. His research focuses on Tsetlin Machines, learning automata, and their applications in machine learning, computer vision, and hyperspectral imaging. Research Trends: Zhang’s recent work includes developing interpretable machine learning models (e.g., Tsetlin Machines), optimizing convolutional architectures for image processing, and applying automata theory to solve multi-armed bandit problems and channel selection in cognitive networks. His field spans theoretical analysis and practical implementations in AI, remote sensing, and health informatics. Scientific Contributions Co-developed advanced Tsetlin Machine variants for XOR/NOT operator convergence, disease forecasting, and image restoration Published in journals like IEEE Transactions on Pattern Analysis and Machine Intelligence , Information Sciences , and Applied Intelligence Explored Bayesian pursuit algorithms, hierarchical learning automata, and particle swarm optimization techniques Contact: xuan.zhang@uia.no
Dr. Joanne Connell is Associate Professor in Sustainability and Tourism at the University of Exeter Business School, where she serves as Director of Postgraduate Research and Programme Manager for the Master's degree in International Tourism Management. With a career spanning over a decade since joining in 2011, she operates at the intersection of sustainability, inclusivity, and health in tourism contexts. Key roles: Director of Postgraduate Research, Programme Manager for MA International Tourism Management Collaboration networks: Alzheimer’s Society, Historic Royal Palaces, National Trust Research themes: Age-friendly tourism, Cognitive impairment accommodations, Sustainable tourism Major publications: Co-editor of Tourism: A Modern Synthesis (5th ed) and The Routledge Handbook of Events Research Focus Her interdisciplinary research bridges tourism, health, and business engagement. Notable projects include the £1.9m UKRI-funded ENLIVEN project (2022-2024) examining nature-based therapies for elderly with cognitive impairments, and development of dementia-inclusive guides for tourism businesses and heritage sites. She has contributed extensively to understanding: Sustainable tourism frameworks Ageing visitor economy challenges Accessibility in heritage and natural sites Business strategies for older demographics Leisure geography in modern societies Interdisciplinary event studies Publication Legacy As co-editor of the seminal Routledge Handbook of Events (2nd ed, 2024) and author/editor of 10+ books, her work spans: Event studies methodology Tourism-health intersections Leisure sociology Urban event planning Knowledge transfer in tourism Policy development for inclusive tourism
Dr. Kerri Thom serves as Professor in the Department of Epidemiology and Public Health and Department of Medicine at the University of Maryland School of Medicine, holding the administrative role of Associate Dean for Student Affairs while directing the Office of Student Research and advising medical students through the Office of Student Affairs. Education: M.D. from University of Florida College of Medicine Internal Medicine Residency and Infectious Disease Fellowship at University of Maryland Medical Center and Baltimore VA Medical Center M.S. in Epidemiology and Clinical Research from University of Maryland School of Medicine Her research concentrates on infection prevention, antimicrobial resistance mechanisms, and transmission dynamics of multidrug-resistant pathogens—especially Acinetobacter baumannii —in healthcare environments. She develops evidence-based interventions for antimicrobial stewardship and infection control, addressing critical gaps in reducing healthcare-associated infections through clinical epidemiology and translational research. Analysis of Dr. Thom's publication record reveals sustained focus on healthcare epidemiology, with methodological diversity spanning clinical trials, observational studies, and mathematical modeling. Her work evaluates interventions across varied clinical contexts—from trauma resuscitation to transplant surgery—emphasizing practical strategies to combat multidrug-resistant organism transmission and antibiotic resistance. Dr. Thom actively mentors medical students through curriculum development and research supervision via the Office of Student Research. She has secured significant competitive funding from NIH, CDC, and AHRQ for projects targeting antibiotic resistance transmission and infection prevention. Selected Grants: CDC: "Transmission of Antibiotic Resistant Bacteria from Patient-to-Patient in Healthcare Setting and the Impact of Contact Precautions" (PI, 9/2018-9/2019) CDC: "Epicenters for the Prevention of Healthcare Associated Infections" (Co-Investigator, 9/2018-9/2020) AHRQ: "Removing barriers to hand hygiene and glove compliance: evaluation of two novel, time-efficient interventions" (PI, 8/2015-5/2019) CDC: "Epicenters for the Prevention of Healthcare Associated Infections (HAI) Cycle II" (Investigator, 9/2015-9/2018) ARLG: "ESBL-producing Enterobacteriaceae in solid organ transplant recipients" (Investigator, 7/2016-7/2018) CDC: "Impact of Post-antibiotic Prescription Review on Antibiotic Use and Resistance" (Co-PI, 9/2013-12/2016) NIH K23: "Epidemiology of Acinetobacter baumannii: An Emerging Nosocomial Pathogen" (9/2010-12/2016) As a key contributor to the CDC Epicenters program, Dr. Thom collaborates with national researchers on healthcare-associated infection prevention while leading student research initiatives that cultivate future clinician-scientists in infectious disease epidemiology.
Stephen Rowe serves as an Associate Professor in the Accounting Department at the Walton College of Business, University of Arkansas. With extensive industry experience including nine years at KPMG culminating as Audit Manager, he maintains an active CPA license in Washington State while teaching intermediate accounting at graduate and undergraduate levels. His scholarly work focuses on auditing and financial reporting, published in premier journals including The Accounting Review and Review of Accounting Studies . Rowe holds a PhD from the University of Illinois at Urbana-Champaign, a Master's degree from Loyola University Chicago, and a Bachelor's degree from Covenant College. His educational journey bridges rigorous academic training with practical industry experience, informing his teaching approach that emphasizes conceptual understanding through real-world case studies. Research interests span auditing quality, financial reporting practices, and capital market interactions. Recent investigations examine index fund ownership effects, auditor switching dynamics, and media influence on audit markets. His methodological toolkit combines traditional econometric analysis with machine learning techniques, particularly evident in predictive models for auditor behavior. Rowe's work consistently addresses regulatory concerns while exploring market-driven phenomena in accounting ecosystems. Analysis of his publication trajectory reveals increasing focus on market-based audit quality indicators, with growing emphasis on passive investing impacts and regulatory compliance mechanisms. The 2021-2025 period shows heightened attention to technological disruption (machine learning applications) and non-traditional monitoring forces (media scrutiny, index fund activism) within audit markets. Professional recognition includes multiple teaching awards and extensive litigation support consulting engagements. Rowe leverages his expertise as a founding member and CFO of White River Capital Advisors LLC (2020-present), providing expert witness services that connect academic research with real-world accounting disputes. His industry background enables practical translation of complex accounting concepts for diverse audiences. Rowe maintains active engagement with professional practice through ongoing litigation consulting since 2016 and continuous CPA licensure. His balanced commitment to academic rigor and professional relevance exemplifies the practitioner-scholar model, with research directly addressing contemporary challenges in financial reporting and auditing ecosystems.
Om P. Damani is a Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay. He serves as Faculty In-Charge of the Sustainable Development unit of the Center for Policy Studies and is also associated with the Centre for Technology Alternatives for Rural Areas (CTARA). His work bridges computer science with social development challenges, focusing on practical applications for rural communities. Dr. Damani's research interests span Technology for Development of the bottom 80%, System Dynamics: Modeling and Simulation for Social Development, System Architecture, and Data Science. His work demonstrates how computational approaches can address complex development challenges through projects like GramDrishti (for detecting rural infrastructure in satellite images), JalTantra (for optimizing water distribution networks), and FAI (Farm Assessment Index for holistic farming practice evaluation). His publications reveal a consistent focus on applying computer science to solve real-world problems in water management, agricultural systems, and rural infrastructure. His research has been recognized with significant awards including the IIT Bombay Industrial Impact Award 2010, IIT Bombay Impactful Research Award 2019, and Best Poster Award at Agriculture Science Congress 2017. Dr. Damani has successfully translated theoretical research into practical tools that address development challenges, particularly in water resource management and agricultural systems. As an educator, he has mentored numerous PhD students including Chintan Tundia, Shreenivas Kunte, Nikhil Hooda, Sivamuthu Prakash Murugan, Dipak L. Chaudhari, Prateek Kapadia, and Manoj K. Chinnakotla. His teaching portfolio includes courses on System Dynamics: Modeling and Simulation for Development (CS 752), Program Derivation (CS 420), and ICT for Development. Dr. Damani's educational background includes a Ph.D. in Computer Sciences from the University of Texas at Austin (1994-1999), B.Tech. in Computer Science and Engineering from IIT Kanpur (1990-1994), and prior professional experience at IBM T J Watson Research Lab and Akamai Technologies.
Dr. Christian Zeman serves as a Lecturer at the Department of Environmental Systems Science, ETH Zurich, based at the Institute for Atmospheric and Climate Science (CHN N 17.1) in Zurich, Switzerland. His research focuses on high-resolution atmospheric modeling with emphasis on kilometer-scale climate simulations and deep convection processes. Zeman's work centers on advancing regional climate modeling capabilities through rigorous model verification techniques and convection-resolving simulations. His research addresses critical challenges in simulating complex phenomena like island-induced vortex streets, tropical climate dynamics, and the impacts of reduced floating-point precision on model accuracy. Key methodologies include ensemble-based statistical verification and systematic model calibration for improved predictive reliability. Analysis of his 2020-2025 publications reveals a consistent trajectory toward higher-resolution climate modeling, with significant contributions to model intercomparison frameworks and computational efficiency optimization. His research bridges theoretical atmospheric science with practical applications in regional climate projection, particularly for island systems and tropical regions. Zeman operates within Prof. Christoph Schär's research group at ETH Zurich, contributing to cutting-edge developments in the Consortium for Small-scale Modeling (COSMO) and Integrated Forecasting System (IFS) frameworks. His work supports ETH Zurich's leadership in high-resolution climate simulation and verification methodologies.
Peter X. K. Song is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health. With expertise spanning statistical methodology development and interdisciplinary applications, Dr. Song maintains active collaborations across Nutritional Sciences, Environmental Health Sciences, Chronic Disease research, and Nephrology. His work bridges theoretical statistics with practical healthcare solutions, focusing on innovative approaches to complex data challenges in public health and medicine. Based at the M4140 SPH II building in Ann Arbor, he leads the Song Lab and contributes significantly to the academic community through teaching, research mentorship, and scholarly publications. PhD, University of British Columbia, Vancouver, 1996 BS, Jilin University, Changchun, 1985 Dr. Song's research focuses on the statistical foundation of big data analytics, with particular emphasis on data integration, distributed inference, high-dimensional data analysis, longitudinal data analysis, mediation analysis, and spatiotemporal modeling. His methodological innovations address critical challenges in smart health applications, including organ exchange programs, children's health, chronic disease management, environmental health assessment, and nutritional sciences. His approach combines statistical theory, integer optimization, and algorithm development to create practical tools that help researchers understand complex relationships between environmental exposures and health outcomes. Dr. Song's publication record demonstrates a consistent trajectory of methodological innovation applied to pressing health challenges. His recent work shows increasing focus on sleep classification using AI techniques, personalized treatment effect analysis, distributed statistical methods for high-dimensional data, and epigenetic applications in adolescent health. The interdisciplinary nature of his research is evident in publications spanning biostatistics journals, computer science venues, and domain-specific medical publications. His work increasingly addresses the challenges of integrating diverse data sources while maintaining statistical rigor in the era of big data. IMS Fellow ASA Fellow Elected Member of the International Statistical Institute 2017 ENAR John Van Ryzin Award Dr. Song has mentored an impressive 22 PhD students and 6 postdoctoral trainees throughout his career, with many now holding faculty positions at prestigious institutions or working as data scientists in leading technology companies. His lab, the Song Lab, currently supports two postdoctoral research fellows and eight doctoral students working on cutting-edge statistical methodology development. His collaborative research extends across numerous grants that support interdisciplinary projects in kidney paired donation programs, environmental health studies, nutritional sciences, and chronic disease research, demonstrating his commitment to translating statistical innovation into practical health solutions. The Song Lab serves as a hub for interdisciplinary statistical research at the University of Michigan, bringing together experts from statistics, operations research, and machine learning to address complex challenges in medical and public health sciences. Current lab members include eight doctoral students and three postdoctoral fellows working on projects related to optimal organ matching strategies, causal mediation pathways of omics biomarkers, and statistical methods for big data integration. The lab maintains strong connections with clinical researchers across nephrology, pediatrics, environmental health sciences, and nutritional sciences, ensuring that methodological developments remain grounded in real-world applications.
Professor Gerrit Jan Poelarends is a distinguished academic at the University of Groningen, holding the position of Professor of Pharmaceutical Biotechnology within the Faculty of Science and Engineering. He serves as Director of the Groningen Research Institute of Pharmacy and Head of the Department of Chemical and Pharmaceutical Biology. His extensive research portfolio spans biocatalysis, enzyme engineering, and sustainable pharmaceutical synthesis, with significant contributions to the UN Sustainable Development Goals through environmentally friendly chemical processes. Prof. Poelarends' research interests focus on the discovery and design of novel biocatalysts for pharmaceutical applications. His work centers on developing enzymatic pathways for asymmetric synthesis of noncanonical amino acids, creating enantioselective biocatalysts for various synthetic bond-forming methodologies, and characterizing promiscuous protein functions to understand enzyme evolution. His research group actively explores enzyme engineering guided by mutability landscapes, development of engineered peroxygenases, and discovery of ene- and nitroreductases for sustainable chemistry applications. Analysis of his recent publications reveals a strong trend toward sustainable pharmaceutical synthesis through enzyme engineering, particularly in the areas of nitroreductases, C-N lyases, and peroxygenases. His work consistently bridges fundamental enzymology with practical applications in green chemistry, demonstrating expertise in both understanding enzyme evolution and applying this knowledge to create biocatalysts for environmentally friendly production of pharmaceuticals. His scientific achievements have been recognized through numerous prestigious awards including NWO VENI, VIDI, and VICI grants, ERC Starting and Proof of Concept grants, and competitive fellowships for his students. These awards highlight the innovative nature and impact of his research in biocatalysis and enzyme engineering. Prof. Poelarends has supervised over thirty PhD students throughout his career, with current supervision of multiple doctoral candidates working on projects related to enzyme engineering and biocatalysis. His research has been supported by substantial grants from NWO, the European Union (including multiple ERC grants), and collaborative international projects, reflecting the significance and scope of his work. The Pharmaceutical Biotechnology group he leads includes technicians, postdocs, and PhD students working on various aspects of enzyme discovery and engineering. The research team operates within well-established laboratory facilities at the Groningen Research Institute of Pharmacy, with access to state-of-the-art equipment for protein expression, purification, structural analysis, and biocatalytic reaction screening. Their work is closely integrated with the University of Groningen's broader research initiatives in sustainable chemistry and pharmaceutical sciences, contributing to multiple EU-funded training networks and collaborative projects.
Kristian Sevdari is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He was born in Kucove, Albania, in 1995, and holds a B.Sc in electrical engineering from the Polytechnic University of Tirana (2016), an M.Sc from UiT Norges arktiske universitet, Norway (2020), and a Ph.D. from DTU (February 2024). Since 2020, he has been working at DTU on multiple projects including Solar-Move, AHEAD, FLOW, EV4EU, ACDC, and FUSE. His research focuses on renewable energy integration and electric vehicle grid integration, with specific expertise in vehicle-to-grid systems, power system dynamics and stability, prosumers and flexible demand, wind power integration, and smart grid technologies. His work contributes to UN Sustainable Development Goals related to sustainable energy and climate action. Dr. Sevdari's recent publications demonstrate a strong trend toward solving practical challenges in EV-grid integration, with emphasis on bidirectional charging technologies, harmonics analysis, battery second-life applications, and smart charging strategies for residential and urban environments. His research bridges theoretical control approaches with experimental validation across multiple European contexts. Best paper award at 2024 IEEE Transportation Electrification Conference & Expo Best paper award of the IEEE PES ISGT-Europe 2021 conference As a supervisor, he has guided multiple Master's theses on topics including telematics integration for EV cost reduction, open charge point protocol implementation, vehicle-to-grid testing, and compatibility testing for EV ecosystems. He is actively involved in the IEEE PES Task Force on electric vehicle grid integration and IEA Task 53, and is the founder of IEEE REST conferences, Qendra SUSALB, and EkoVolt.
Valentina Calzolari Bouvier is Full Professor of Armenian Studies at the University of Geneva , holding the first and only Armenian Studies chair in Switzerland. She directs Bachelor's and Master's programs in Armenian Studies (ancient and modern) and doctoral training, while serving as President of the International Association for Armenian Studies and a corresponding member of the Academy of Inscriptions and Belles-Lettres . Key affiliations: Pembroke College (Oxford), Hebrew University, École Pratique des Hautes Études Current research: Christian apocrypha in Armenian, Greco-Armenian philosophical transmission, Soviet-era Armenian literature Her recent publications focus on Armenian apocryphal texts (2022's The Apocryphal Acts of the Apostles in Armenian ), medieval Armenian historiography, and Armenian diaspora literature. She co-directs the LABEAC research laboratory on Central Europe-Orient and Central Asia, and has received the Movses Khorenatsi Medal (2023) and honorary doctorate from Armenia (2007). Scientific distinctions include: Movses Khorenatsi Medal (2023) Accademia Ambrosiana membership (2010) Honorary Diploma from Republic of Armenia (2012) Leverhulme Visiting Professor (Oxford, 2021-2023)
