جست‌وجوی استاد و پژوهشگر

• History of Science
• Material Culture
• Embodied Knowledge
• +۶ مورد دیگر

Pamela H. Smith serves as the Seth Low Professor of History at Columbia University and founded the Center for Science and Society, directing its flagship Making and Knowing Project. Her academic leadership centers on reconstructing historical craft practices through interdisciplinary collaboration. Her research investigates craft and practice as foundational ways of knowing, focusing on material culture, embodied knowledge, and the transmission of practical techniques across early modern Europe and Eurasia. Smith pioneers hands-on historical reconstruction methods to analyze how artisans generated, recorded, and transformed knowledge, bridging history of science with material studies. Smith's recent publications reveal consistent patterns in trans-regional knowledge exchange, emphasizing material complexes and socio-technical networks. Her 2022 monograph and 2019 edited volume demonstrate how craft practices operated within global systems, with recurring themes in reconstruction methodology, material agency, and the epistemological value of making. As director of the Making and Knowing Project, Smith secured major collaborative funding to produce open-access resources including 'Secrets of Craft and Nature in Renaissance France' (2020), the Research and Teaching Companion, and the EditionCrafter digital publishing platform. She currently leads longue durée investigations into pre-industrial industry's socio-natural environments.

Ilan Krooمشاهده پروفایل

استاد

• Multidisciplinary Optimization
• Aircraft Synthesis
• Unconventional Aircraft Design
• +۵ مورد دیگر

Dr. Ilan Kroo Academic Appointments: Thomas V. Jones Professor in Aeronautics and Astronautics at Stanford University's School of Engineering. Active in teaching and research since at least 1983 (PhD Stanford). Education: PhD in Aeronautics and Astronautics, Stanford University (1983). Research Focus: Multidisciplinary optimization and aircraft synthesis Unconventional aircraft configurations (e.g., joined wings, oblique wings) Low-speed aerodynamics: vortex wake analysis, induced drag computation Awards: Elected Member of the National Academy of Engineering (2013–Present). Teaching: Leads courses on aircraft design, applied aerodynamics, and sustainable aviation. Courses include AA 146A/B, AA 241A/B, and independent study modules. Students: Advises master's students William Ho, Sean Lin, Adrian Loekman, and Sebastian Monsalvo. Labs/Teams: Involved in NASA and industry-sponsored projects on computational aircraft design and transonic formation flight. Recent Work: Focus on pilot-induced oscillation mitigation, extended formation flight efficiency, and UAV swarm control. Active in publishing since 2009, with 116+ papers.

• Network Routing
• Segment Routing
• Software Defined Networking
• +۶ مورد دیگر

Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.

Shinyoung Choمشاهده پروفایل

استادیار

• network security
• privacy
• network measurements
• +۵ مورد دیگر

Shinyoung Cho is an Assistant Professor of Computer Science at Smith College. Her contact information includes email scho@smith.edu and phone number 413-585-3847, with an office located in Ford Hall 356. Dr. Cho's research focuses on network security, privacy, and network measurements. She utilizes various algorithms and global continuous in-depth measurements to detect and mitigate malicious actions performed by network-level entities such as autonomous systems. Her work specifically targets attacks on accessibility, security, and anonymity. The 'detecting' aspect of her research investigates when network protocols are repurposed for Internet censorship and when network traffic hijacking occurs. The 'mitigating' portion focuses on threats that prey on the vulnerability of the Tor network. Dr. Cho's publication record demonstrates expertise in Internet censorship measurement, BGP hijacking classification, network proxy geolocation, and censorship localization techniques. Her research combines network measurement techniques with security analysis to address critical internet infrastructure vulnerabilities, with publications spanning from 2017 to 2020 in top security and networking venues. Her educational background includes: Ph.D. from Stony Brook University M.Sc. from Sungkyunkwan University B.Eng. from Baekseok University During her doctoral studies, she gained valuable research experience as a visiting researcher at the University of Massachusetts, Amherst; IIJ research lab in Japan; and CAIDA at the University of California San Diego.

Stavros Shiaelesمشاهده پروفایل

دانشیار

• Cyber Security
• Malware Analysis
• Anomaly Detection
• +۱۳ مورد دیگر

Dr. Stavros Shiaeles is an Associate Professor in Cybersecurity at the Faculty of Technology , University of Portsmouth, and Co-Director of the Portsmouth AI and Data Science Centre (PAIDS) . With over 130 publications and 3000+ citations, he specializes in cybersecurity, applied AI, and threat mitigation frameworks. Academic Qualifications : PhD in Electrical and Computer Engineering (Democritus University of Thrace, 2013), MEng in Electrical and Computer Engineering (Democritus University of Thrace, 2007), MBA in Human Resource Management (University of Plymouth, 2016), and PG Cert in Academic Practice (University of Plymouth, 2017). Research Interests span cybersecurity, malware detection, blockchain, 6G networks, AI/ML applications, digital forensics, and post-quantum cryptography. His work addresses threats in IoT, financial systems, and critical infrastructure while exploring SDG4 (Quality Education) through cybersecurity training. Recent publications emphasize AI-driven anomaly detection (e.g., ransomware behavior analysis, 6G traffic monitoring), deepfake forensics, synthetic image attribution, and hybrid blockchain/AI security architectures. He also curates datasets for malware analysis and synthetic media classification. Scientific Awards : IEEE SMC TCHS Outstanding Service Award (2021). Grant Funding : Over €18M secured in EU Horizon 2020 grants, including €8M as Principal Investigator for the ongoing XTRUST-6G project. Active in KTPs, consulting, and research commercialization opportunities.

Rasmus Gjedssø Bertelsenمشاهده پروفایل

استاد

• Arctic international politics
• International political economy
• International security
• +۵ مورد دیگر

Rasmus Gjedssø Bertelsen is a Professor of High North Studies and Barents Chair in Politics at the Department of Social Sciences , UiT The Arctic University of Norway. He previously held the 2022-2023 Nansen Professor of Arctic Studies position at the University of Akureyri. His work spans Arctic international politics , science diplomacy , geopolitics , and international security . Research Interests : Arctic governance, science diplomacy, geoeconomics, geostrategy, Sino-American relations, and space technology policy. Teaching : Courses on Arctic politics (STV-1006), nordic area policy (STV-3014), and bachelor's theses (STV-2020). Projects : Member of research groups War and Peace Dynamics , RUR-ED Spatial Inequalities , and the Cross-Disciplinary Research in Political Science Handbook project. Publications highlight trends in Arctic geopolitics under global power transitions, science diplomacy frameworks, and intersections between technology, security, and sustainable development. He maintains an ORCID profile (0000-0002-5396-2647) and collaborates across Europe, Asia, and the Arctic region.

Aidan O'Sullivanمشاهده پروفایل

دانشیار

• Artificial intelligence
• Machine learning
• Reinforcement learning
• +۷ مورد دیگر

Aidan O'Sullivan is an Associate Professor in Energy and Artificial Intelligence at University College London's Bartlett School of Environment, Energy & Resources, where he leads the Energy Systems and Artificial Intelligence Lab and the department's Data Analytics research theme. He is also the founding course director of the Energy Systems and Data Analytics MSc, an innovative program combining energy systems and sustainability with data science and machine learning. Current Position: Associate Professor, UCL Energy Institute Education: PhD in Mathematics, Imperial College London Prior Experience: Postdoctoral Researcher at MIT Civil Engineering Department Affiliation: Turing Fellow at the Alan Turing Institute (2018-2020) O'Sullivan's research focuses on applying artificial intelligence to energy system problems, particularly in power systems and heavy industry. He is a pioneer in using data science and machine learning with novel energy sector data sources like renewable generation and smart meter data. His specific AI interests include reinforcement learning, ensemble based methods, latent variable models and deep learning, with additional interest in complex network theory for understanding system interdependencies. His publication history shows a clear evolution from transportation and aviation applications toward direct power system applications, with reinforcement learning emerging as a consistent methodology across his work. The research demonstrates strong interdisciplinary integration of AI techniques with energy system challenges, particularly in grid management, optimization, and emissions reduction. O'Sullivan has received recognition including a Turing Fellowship from the Alan Turing Institute in 2018, the UK's leading center for AI and data science research. Turing Fellowship, Alan Turing Institute (2018-2020) As an educator, O'Sullivan serves as Deputy Director and Founding Course Director of the MSc in Energy Systems and Data Analytics. He teaches BENV0094 Statistics for Energy Analytics, focusing on the mathematical foundations of machine learning methods and their application to energy system datasets. His teaching directly addresses the industry need for professionals with integrated expertise in energy systems and data science. O'Sullivan leads the Energy Systems and Artificial Intelligence Lab at UCL, which focuses on applying advanced AI techniques to solve complex energy system challenges, particularly in grid management, renewable integration, and energy efficiency. His work aligns with UN Sustainable Development Goals 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), and 13 (Climate Action), reflecting the applied nature of his research in addressing global energy challenges.

Bartosz Grzybowskiمشاهده پروفایل

استاد مدعو

• Artificial Intelligence in Chemistry
• Computer-Assisted Organic Synthesis
• Reaction Network Analysis
• +۳ مورد دیگر

Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.

Aghdas Badieeمشاهده پروفایل

پژوهشگر

• Sustainable Supply Chain Management
• Resilient Cold Chain Management
• Transportation and Logistics
• +۴ مورد دیگر

Dr. Aghdas Badiee serves as a Post-Doctoral Research Associate at Heriot-Watt University's Edinburgh Business School, affiliated with both the Centre for Logistics and Sustainability and the Centre of Sustainable Road Freight. Her academic foundation spans Industrial Engineering with specialized expertise in data-driven decision systems and logistics optimization. Educational Background: B.Sc. in Industrial Engineering - System Planning and Analysis (Grade: 18.07/20), Iran University of Science and Technology M.Sc. in Socio-economic System Engineering - Location-Allocation Optimization (Grade: 19.30/20), Iran University of Science and Technology Ph.D. in Socio-economic System Engineering - Supply Chain Modeling and Sustainable Logistics (Grade: 19.35/20), Iran University of Science and Technology Her research integrates Sustainable Supply Chain Management , Resilient Cold Chain Logistics , and Operations Research methodologies to address complex transportation challenges. Current projects include the Africa Centre of Excellence for Sustainable Cooling and Cold Chain Systems (ACES) and Zero-Emission Cold-Chain initiatives, focusing on food security through sustainable logistics solutions. Her methodological approach combines descriptive, predictive, and prescriptive analytics using simulation, optimization, and data science techniques. Publication trends reveal consistent contributions to high-impact journals like Annals of Operations Research and IEEE Transactions on Fuzzy Systems , with growing emphasis on sustainable cold chain systems (2023-2025). Her work bridges theoretical operations research with practical applications in agri-food distribution, humanitarian logistics, and transportation procurement. Scientific Recognition: Ranked 1st in all academic degrees (B.Sc. 2010, M.Sc. 2012, Ph.D. 2019) Global Talent designation by UKRI (2022) Distinguished PhD Dissertation Award (2019) Reviewer for Annals of Operations Research Journal (2021-present) Member of WORMS (Women in OR/MS) since 2022 Her professional trajectory demonstrates continuous engagement across academia and industry, having served as Lecturer at University of Tehran and Senior Business Analyst at National Iranian Oil Products Distribution Company. Current activities include developing the MILES simulation platform for cold chain optimization and contributing to UN Sustainable Development Goals through sustainable logistics research. She actively participates in professional networks including Production and Operations Management Society while mentoring students in operations research methodologies.

Fadi AL-TURJMANمشاهده پروفایل

استاد

• Artificial Intelligence of Things (AIoT)
• Wireless Sensor Networks
• Blockchain Applications
• +۷ مورد دیگر

Prof. Dr. Fadi AL-TURJMAN serves as the founding Dean of the Faculty of AI and Informatics at Near East University (NEU), Cyprus. He holds multiple leadership roles including Head of the Software Engineering Department and Director of the AI and Robotics Institute and the International Research Center for AI and IoT. With a PhD in Computer Science from Queen’s University (2011), he specializes in AIoT systems, wireless networks, and blockchain integration. Affiliation: Near East University Leadership: Founding Dean for AI and Informatics, Director of AI & Robotics Institute Research Focus: His work bridges Artificial Intelligence of Things (AIoT) , Blockchain Applications , and Smart Networking . He explores cybersecurity frameworks for smart cities, quantum state optimization techniques, and novel AI-driven solutions for healthcare, agriculture, and energy systems. Key Article Trends: Recent publications emphasize Transformer models for environmental monitoring, blockchain-enabled security protocols , and evolutionary algorithms for resource optimization. His research spans interdisciplinary domains including medical diagnostics, vehicular networks, and sustainable infrastructure. Scientific Awards: Lifetime Golden Award of Dr. Suat Gunsel (2022) Multiple Best Research Awards at International Venues Labs & Teams: Directs the International Research Center for AI and IoT at NEU, leading multidisciplinary teams in developing advanced networking technologies and AI-driven solutions for global value chain applications.

Zihe Gaoمشاهده پروفایل

استادیار

• Optics
• Integrated Photonics
• Quantum Optics
• +۵ مورد دیگر

Zihe Gao serves as a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University's College of Engineering since August 2023, following postdoctoral research at the University of Pennsylvania and industry experience at Meta (Facebook Reality Labs). His academic foundation includes: PhD in Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2018) MS in Physics, University of Illinois Urbana-Champaign (2012) BS in Physics, Nanjing University (2011) Dr. Gao's research integrates optics, microelectronics, and physics to develop programmable photonic systems. His work focuses on controlling collective behaviors in multi-element photonic systems for scalable integrated chips, with applications spanning dynamically steerable laser sources and reconfigurable quantum optical platforms . Key methodologies include non-Hermitian physics, topological photonics, and spin-orbit coupling engineering. Analysis of his 2023-2025 publications reveals dominant trends in non-Hermitian photonic switching , high-dimensional quantum state manipulation , and topological semiconductor laser arrays . His team pioneers lithography-free reconfigurable photonics and spin-orbit microlasers for quantum key distribution, demonstrating strong industry-academia translation from prior Meta work on AR/VR structured-light systems. His scholarly trajectory shows continuous progression from VCSEL array fundamentals (PhD under Prof. Kent Choquette) to quantum-topological photonics (postdoc with Prof. Liang Feng), now establishing independent research at Auburn with emphasis on integrated quantum-classical hybrid systems.

Jane Kershawمشاهده پروفایل

دانشیار

• Viking-Age Archaeology
• Early Medieval Archaeology
• Scandinavian Settlements in Britain
• +۵ مورد دیگر

Jane Kershaw is the Gad Rausing Associate Professor of Viking Age Archaeology at the University of Oxford, specializing in Early Medieval and Viking-Age archaeology with a geographic focus on Northwest Europe, particularly Britain and Scandinavia. Her work centers on Scandinavian settlements in Britain, Viking silver economies, and gender/cultural identity through interdisciplinary archaeological, archaeometric, and numismatic approaches. Her research critically examines the Viking Age (c. 750-1050 AD) through material culture analysis, with core interests in silver provenance, bullion economies, and gender dynamics. She integrates scientific methods like lead isotope analysis with traditional archaeology to investigate trade networks, resource exploitation, and cultural interactions across Eurasia, emphasizing how material practices shaped identity and social structures in frontier zones of the Viking world. Analysis of her 15 most recent publications reveals dominant trends in archaeometric silver studies (80% of works), with strong focus on provenance methodologies, bullion economy mechanics, and cross-cultural exchange networks. Key themes include Islamic dirham circulation, Scandinavian settlement patterns, and innovative analytical techniques for non-destructive metal analysis, demonstrating consistent interdisciplinary rigor across temporal and geographic scales. Her scientific awards include: ERC Starting Grant (Silver and the Origins of the Viking Age, 2019-ongoing) Leverhulme Early Career Fellowship (Britain’s Viking Silver Hoards, 2017–2019) British Academy Post-Doctoral Fellowship (The Bullion Economy of Viking England, 2012-2017) Junior Research Fellowship, Balliol College, Oxford (2012-2014) Randall MacIver Studentship, Queen’s College, Oxford (2010-2011) Dr Kershaw actively supervises doctoral research including Anthony Del Rio's DPhil on Viking-Age Scandinavian settlement in northern England. Her ERC-funded project coordinates an international team conducting large-scale silver analysis, while her British Academy and Leverhulme fellowships established foundational research on Viking bullion economies. She maintains extensive museum collaborations for hoard analysis and public engagement through media appearances. She leads the ERC-funded "Silver and the Origins of the Viking Age" project with a dedicated research team, maintains an active research blog for public dissemination, and engages in knowledge exchange through BBC Radio 4's In Our Time program on Viking historical impacts.

Filipe Rodriguesمشاهده پروفایل

دانشیار

• Machine Learning
• Intelligent Transportation Systems
• Transportation Science
• +۷ مورد دیگر

Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems. His research interests lie at the intersection of machine learning , transportation science , and behavioral modeling . He specializes in discrete choice modeling , reinforcement learning , graph neural networks , and smart card data analytics . His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization. The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior , public transport trip validation , autonomous fleet control , and causal machine learning . These works predominantly employ deep learning , Bayesian modeling , and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond. Scientific Contributions: Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling . Supervises multiple PhD projects on AI in transportation and causal modeling. Regular presenter at major transportation and AI conferences. Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond. Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.

Pankaj Mehraمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Memory Systems
• Storage Systems
• +۱۳ مورد دیگر

Pankaj Mehra is an Adjunct Professor in the Department of Computer Science and Engineering at the Jack Baskin School of Engineering, University of California, Santa Cruz (UCSC). He is affiliated with the Storage Systems Research Center (SSRC), now succeeded by the Center for Research in Storage Systems (CRSS). Alongside his academic role, he is the Founder and CEO of Elephance Memory, Inc., and serves as Workstream Lead for Computational x Programming (x = Memory or Storage) at the OpenCompute Project. Ph.D. in Computer Science, University of Illinois at Urbana-Champaign Former Faculty, IIT Delhi Adjunct Faculty, University of California, Wright State University Computer Scientist, NASA Ames Research Center Founder, HP Labs Russia Executive Roles: SVP & WW CTO at Fusion-io; VP at Samsung, SanDisk, Western Digital Pankaj Mehra's research centers on next-generation memory and storage systems. His work explores disaggregated memory architectures, computational storage, non-volatile memory (NVM), and data-centric operating systems. He investigates how to optimize data placement, improve system performance through intelligent caching, and restructure computing models around emerging memory technologies like CXL and persistent memory. His recent publications focus on far memory, tiered memory systems, and offloading computation to storage devices. His recent publications demonstrate a strong focus on memory disaggregation, computational storage, and non-volatile memory systems. Themes include rethinking data and pointer management in distributed memory environments, resource allocation in tiered systems, and designing operating systems that treat data as a first-class citizen. His work bridges academic research and industrial innovation, often involving collaboration with leading researchers at UCSC. Samsung R&D Award (2019) CES R&D Innovation Award (2021) Terabyte Sort Trophy by Jim Gray (1998) TPC-C Cluster Performance Records (1997) Pankaj Mehra has advised and collaborated with numerous researchers and engineers across academia and industry. His work has been supported by affiliations with HP Labs, Fusion-io, Samsung, and now Elephance Memory, Inc. He has led major research and development initiatives, including SmartSSD at Samsung and foundational work on persistent memory at HP. He has also contributed to standards efforts through the InfiniBand Trade Association. He has been a key contributor to the UCSC Storage Systems Research Center (SSRC/CRSS), collaborating with faculty and researchers including Ethan L. Miller, Heiner Litz, and Daniel Bittman. His industry leadership at Elephance Memory, Inc. and involvement in the OpenCompute Project further extend his influence in shaping future data infrastructure technologies.

Steven E. Harrisمشاهده پروفایل

استاد

• Modern Russian History
• European History
• Soviet Aviation
• +۴ مورد دیگر

Steven E. Harris is a Professor in the Department of History and American Studies at the University of Mary Washington . His research focuses on modern Russian and European history, with a particular emphasis on Soviet aviation, technology in authoritarian regimes, and transnational Cold War dynamics. He is currently working on a book titled Autocratic Airways: Aeroflot and the Russian Jet Age from Stalin to Putin , supported by a Verville Fellowship and a National Endowment for the Humanities stipend. Ph.D., University of Chicago, 2003 M.A., University of Chicago, 1998 B.A., University of North Carolina at Chapel Hill, 1995 Harris teaches courses on Russian and French history, Stalinism, World War II, conspiracy theories, and aviation/space history. His research bridges Soviet-era technological development with contemporary geopolitical issues, including the impact of Western sanctions on Russian aviation. His publications explore urban planning, housing policies, and cultural aspects of Soviet life. Recent articles analyze Aeroflot’s role in global Cold War networks and its post-Soviet challenges. Harris has received notable awards, including: Verville Fellowship, National Air and Space Museum NEH Summer Stipend He actively contributes to public discourse on Russian aviation and sanctions, with commentary in The Russia File , Russia Matters , and NYU’s Jordan Center Blog.