جست‌وجوی استاد و پژوهشگر

• Company Law and Sustainability
• ESG
• Business & Human Rights
• +۴ مورد دیگر

Femi Amao is a Professor of Company Law & Sustainability at University College Cork (UCC), Ireland. He previously held academic roles including Reader in Law at Sussex Law School (2019-2023) and Senior Lecturer at Brunel University (2015-2019). His research focuses on law's role in regulating emerging social phenomena, particularly in the areas of corporate sustainability, business & human rights, and African Union Law. He holds a Senior Fellowship of the Higher Education Academy (SFHEA) and won the University of Sussex Teaching Award in 2021. Education: PhD and PG Cert, University College Cork (2009) LLM, University of Warwick (2005) LLM, University of Ibadan (2003) LLB, Obafemi Awolowo University (1997) BA, University of Ilorin (1991) His research explores corporate governance, ESG frameworks, and legal mechanisms to address multinational corporations' impact in developing countries. Notable publications include African Union Law: The Emergence of a Sui Generis Legal Order (2018) and co-editing The Emergent African Union Law (2021). His articles frequently analyze comparative legal systems, corporate accountability, and human rights obligations. Research Grants: Lead Investigator for the Arts and Humanities Research Council (AHRC)-funded African Union Law Research Project (2017-2020) Awards: Senior Fellowship of the Higher Education Academy (UK) University of Sussex Teaching Award: Transformative Technology (2021) His work bridges legal theory and practice, addressing contemporary challenges in corporate law, sustainability, and African regional legal frameworks.

Mark G. Reithمشاهده پروفایل

استادیار

• Cybersecurity
• Cyber Education
• Game-based Learning
• +۱۶ مورد دیگر

Dr. Mark G. Reith is an Assistant Professor of Computer Science at the Air Force Institute of Technology (AFIT), part of the U.S. Air Force’s Air University. He is based at Wright-Patterson Air Force Base, Ohio, within the Graduate School of Engineering and Management. Dr. Reith holds a Ph.D. in Computer Science from the University of Texas at San Antonio (2009), an M.S. in Computer Science from AFIT (2003), and a B.S. in Computer Science from the University of Portland (1999). Ph.D., Computer Science, University of Texas at San Antonio, 2009 M.S., Computer Science, Air Force Institute of Technology, 2003 B.S., Computer Science, University of Portland, 1999 Dr. Reith's research focuses on cybersecurity, cyber education, game-based learning, and multi-domain operations. He investigates operational cybersecurity in space systems, software factories, and military training through serious games. His work emphasizes trust management, cyber risk assessment, and defense acquisition innovation. He actively promotes STEM outreach and cyber workforce development within the Department of Defense. His recent publications reflect a strong trend in defense-oriented cybersecurity research, particularly in the domains of space system security, military software acquisition, and gamified cyber training. Articles span journals such as Air & Space Operations Research , Defense Acquisition Research Journal , and International Journal of Serious Games , highlighting interdisciplinary work bridging computer science, military strategy, and education. Dr. Reith has received notable recognition, including: AFA Colonel Charles A. Stone Award (2023) DAF Outstanding STEM Outreach Champion Award (2023) AFIT Team of the Quarter (2017) Bernard A. Schriever Essay Contest Winner (2017) He has advised numerous graduate students, many of whom are co-authors on his publications, particularly in the areas of cyber risk, space cybersecurity, and educational games. Dr. Reith has also contributed to research grants and initiatives focused on improving cyber hygiene, military IoT security, and multi-domain command and control. He is a frequent invited speaker on topics such as game-based learning and industry-academia collaboration in cybersecurity. Dr. Reith is actively involved in research labs and teams at AFIT, particularly those focused on cyber education, serious games (e.g., Battlespace Next), and operational cybersecurity. His work often involves collaboration with students and faculty across engineering, systems, and defense domains.

• Machine Learning
• Graph Neural Networks
• Time Series Analysis
• +۷ مورد دیگر

Filippo Maria Bianchi is an Associate Professor in the Department of Mathematics and Statistics at UiT The Arctic University of Norway, where he conducts research at the intersection of machine learning, dynamical systems, and complex networks. He is also a Senior Researcher at NORCE Norwegian Research Centre and actively contributes to the IEEE Task Force on Learning for Structured Data and the ELLIS Society. Department: Department of Mathematics and Statistics School: Faculty of Science and Technology University: UiT The Arctic University of Norway Adjunct Position: Senior Researcher, NORCE Education: Bachelor’s in Computer Engineering, Sapienza University of Rome Master’s in Artificial Intelligence & Robotics, Sapienza University of Rome (cum laude, 2012) PhD in Machine Learning, Sapienza University of Rome His research focuses on graph machine learning, time series analysis, reservoir computing, and probabilistic forecasting , with applications in energy analytics and remote sensing. He has led and contributed to numerous projects involving Arctic power grids, satellite-based environmental monitoring, and deep learning for sustainability. The recent publications reflect a strong trend in graph neural networks —particularly pooling mechanisms, spatiotemporal modeling, and explainability—alongside applications in energy forecasting, avalanche detection, and remote sensing . His work combines theoretical innovation with real-world impact, especially in Arctic and remote environments. Scientific Affiliations and Leadership: Vice-Chair, IEEE Task Force on Learning for Structured Data Member, ELLIS Society Co-founder, Northernmost Graph Machine Learning group Member, IEEE Task Force on Reservoir Computing Visiting Professor, Politecnico di Milano (2024–2025) He actively mentors students and collaborates on interdisciplinary research. He has led projects in power grid reliability, solar fault detection, and unsupervised change detection in satellite imagery . His work is supported by open-source implementations and reproducible research practices. Laboratories and Research Groups: Northernmost Graph Machine Learning group (co-founder) ARC Research Group, UiT Graph Machine Learning Group, Lugano

Donald Lieمشاهده پروفایل

استاد

• Low-Power RF/Analog Integrated Circuits
• System-on-a-Chip (SoC) Design
• Medical Electronics
• +۵ مورد دیگر

Donald Lie is a Professor and the Keh-Shew Lu Regents Chair in Electrical and Computer Engineering at Texas Tech University's Whitacre College of Engineering. His research focuses on low-power RF/analog integrated circuits, System-on-a-Chip (SoC) design, and interdisciplinary applications in medical electronics, biosensors, and biosignal processing. PhD, Electrical Engineering, California Institute of Technology (1995) MS, Electrical Engineering, California Institute of Technology (1990) BS, Electrical Engineering, National Taiwan University (1987) Donald Lie's research bridges RF/analog circuit design with biomedical engineering, emphasizing millimeter-wave power amplifiers for 5G systems and non-contact vital signs monitoring using software-defined radio (SDR). His work explores CMOS FD-SOI, GaN HEMTs, and SiGe technologies for high-efficiency, linear RF front-end modules and wearable biosensors. His 15 most recent publications focus on 5G communication systems , millimeter-wave power amplifier design in CMOS FD-SOI and GaN , digital predistortion techniques, and non-contact biosensors . These works highlight advancements in wideband amplifiers for 5G FR2 bands and wireless power transfer for medical devices. Institute of Electrical and Electronics Engineers (2017) Excellent Paper Award Winner (2019) Best Student Poster Paper Award Winner (2019) Donald Lie has secured NSF Student Travel Grants for conferences like RFIC 2022 and 2020. He leads the RF/Analog System-on-a-Chip (SoC) Design Lab , which develops innovative solutions for 5G RF front-ends and biomedical sensing systems.

Mikaela Vasstrømمشاهده پروفایل

دانشیار

• Energy transitions
• Energy democracy
• Energy governance
• +۵ مورد دیگر

Mikaela Vasstrøm (b.1977) is an Associate Professor at the Department of Global Development and Planning, University of Agder. She holds a PhD from the University of Copenhagen and leads significant research projects including the Norwegian Research Council-funded WINDPLAN initiative, which analyzes social acceptance and governance challenges in onshore wind power development across Norway, Scotland, and Denmark. She co-leads work packages in the WINDREG project focusing on procedural justice and knowledge co-production for energy transitions. Her research examines: Just energy transitions and energy democracy Governance challenges in renewable energy deployment Public participation in environmental conflicts Local/regional development implications of energy policies She co-directs UiA's participation in the Empowered Futures research school, developing PhD-level expertise in energy policy frameworks. Publications focus on wind energy governance, policy legitimacy, and spatial planning conflicts, with consistent themes of: Energy justice in policy design Local government capacity in energy transitions Participatory approaches in sustainability planning Research group affiliations include: Energy and Society Urban and Regional Planning (URPLAN)

• Environmental Engineering
• Urban Sustainability
• Industrial Ecology
• +۳ مورد دیگر

Hua Cai is the Thomas and Jane Schmidt Rising Star Associate Professor at Purdue University's Edwardson School of Industrial Engineering with a joint appointment in Environmental & Ecological Engineering. She holds a PhD in Environmental Engineering & Natural Resources from the University of Michigan, an MS in Environmental Engineering from Penn State, and a BS from Tsinghua University. Her research integrates operations research and production systems to address sustainability challenges, with focus areas including: Environmental implications of emerging technologies Urban sustainability modeling and infrastructure resilience Industrial ecology and complex adaptive systems Sustainable transportation and mobility systems Recent publications demonstrate strong focus on sustainable transportation systems, with extensive analysis of shared mobility patterns (bike/e-scooter systems), autonomous vehicle impacts, and microgrid resilience. Her work consistently applies advanced computational methods including reinforcement learning, agent-based modeling, and spatiotemporal analysis to urban sustainability challenges. Dr. Cai has received recognition including the Thomas and Jane Schmidt Rising Star Professorship for her contributions to sustainable systems engineering. She leads research on renewable energy integration in transportation infrastructure and advises projects on climate-resilient urban systems.

James Mahoneyمشاهده پروفایل

استاد

• Comparative Sociology
• Political Development
• Methodology
• +۳ مورد دیگر

James Mahoney is the Gordon Fulcher Professor of Decision-Making, Professor of Sociology, and Professor of Political Science at Northwestern University. His work focuses on comparative-historical analysis, political development in Latin America, and methodological innovations in social sciences. He has authored and edited influential books such as Advances in Comparative-Historical Analysis (2015) and A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences (2012). Mahoney has held leadership roles including President of the Qualitative and Multi-Method Research Section at APSA and Chair of Sociology at Northwestern. His research has received multiple awards from ASA and APSA for methodological contributions and his book Colonialism and Postcolonial Development earned six major awards. His teaching includes courses like Comparative Historical Analysis and Global Development . Mahoney advocates for methodological pluralism, emphasizing integration of qualitative and quantitative approaches. His recent work examines historical institutionalism, Latin American political trajectories, and causal mechanisms in social science explanations. He has also contributed to debates on process tracing and set-theoretic methods in comparative research. Key areas of study include colonial legacies, state formation, and constitutional evolution in Latin America. Mahoney’s interdisciplinary approach bridges sociology, political science, and historical analysis, producing foundational texts for graduate and undergraduate education in social sciences.

Rajeev Kinraمشاهده پروفایل

دانشیار

• South Asian History
• Global History
• Religious History
• +۴ مورد دیگر

Rajeev Kinra is an Associate Professor of History at Northwestern University, specializing in early modern South Asian cultural history with a focus on Mughal and early British Empires. He holds a Ph.D. from the University of Chicago (2008). His research integrates Persian, Hindi-Urdu, and Sanskrit sources to explore themes of civility, cosmopolitanism, and cultural modernity. He directs Northwestern’s Asian Studies Program (2015-18) and co-directs the Global Humanities Initiative. Notable publications include Writing Self, Writing Empire (2015), analyzing the Mughal state secretary Chandar Bhan Brahman. Education: Ph.D., University of Chicago, 2008. Research interests emphasize South Asian and global history, particularly Indo-Persian literary and intellectual cultures, Mughal governance, and comparative philology. Awards include an NEH fellowship and a Buffett Institute grant for global humanities projects. Teaching focuses on early modern India and modern South Asia, with courses on global history and the Indian Ocean world. Affiliations include the Buffett Institute, Asian Languages and Cultures, and the South Asian American Digital Archive (SAADA).

• Intestinal Homeostasis
• Aging Biology
• Microbial Ecology
• +۳ مورد دیگر

Dr. Rebecca Clark is an Associate Professor in the Department of Biosciences at Durham University. Her research focuses on understanding intestinal function in health and disease using the Drosophila model. She investigates how the intestinal epithelium balances barrier function, nutrient absorption, microbial symbiosis, and cell turnover, particularly during aging and disease states. Key research questions include mechanisms of intestinal barrier failure and the interplay between nutrition and intestinal homeostasis. Her work integrates genetic, microbiological, and physiological approaches to explore aging-related pathologies. Current projects aim to identify molecular pathways linking intestinal health to longevity. Supervised postgraduate students include Ale Acevedo Marcelin, Beñat Yanez, and Fanila Shahzad. Dr. Clark’s lab uses Drosophila as a model system due to its powerful genetic tools and evolutionary relevance. Research has implications for understanding human conditions such as inflammatory bowel disease and age-related metabolic disorders. Recent findings highlight microbiota-independent aging mechanisms and the role of tricellular junctions in stem cell regulation. No scientific awards are explicitly listed in the provided materials. Her research has been published in journals like Cell , Nature Cell Biology , and Proceedings of the National Academy of Sciences .

• Numerical analysis
• Partial differential equations
• Fluid mechanics
• +۵ مورد دیگر

Dr. Jean-Christophe Nave is an Associate Professor in the Department of Mathematics and Statistics at McGill University. He holds a PhD from the University of California, Santa Barbara (2004), under advisors Xu-Dong Liu and Sanjoy Banerjee. Prior to McGill, he served as a Lecturer and Instructor at MIT's Mathematics Department (2005-2010). His research focuses on numerical analysis, partial differential equations, fluid mechanics, and computational methods for interface problems. He has led research groups involving postdocs, PhD, and undergraduate students, collaborating on projects like the Correction Function Method for PDEs and the Characteristic Mapping Method for advection problems. Education: Ph.D. in Applied Mathematics from UCSB (2004). Affiliations include the Institut des Sciences Mathematiques Steering Committee, Centre de Recherches Mathematiques Applied Math Lab, and CNRS-UMI. Active in teaching courses like Numerical Analysis I/II and Non-Linear Dynamics at McGill, with sabbatical periods noted in recent years. Research interests span numerical methods for PDEs, fluid-structure interaction, and multi-phase flows. His work integrates computational geometry and invariant numerical techniques, addressing challenges in complex fluid dynamics and interface-driven phenomena. Over 40 peer-reviewed publications and continuous contributions to the field of computational applied mathematics. Scientific advising includes over 20 graduate and undergraduate students, with notable alumni now in academia and industry. Collaborations include projects on volcano dynamics, fiber drawing instabilities, and concentrated solar power systems. His methods have advanced numerical simulations for engineering and physical systems involving discontinuous coefficients and sharp interfaces.

Rhiannon Stephensمشاهده پروفایل

استاد

• African History
• East African History
• Precolonial and Colonial History
• +۵ مورد دیگر

Rhiannon Stephens is a Professor in the Department of History at Columbia University's Faculty of Arts and Sciences, where she has been a faculty member since 2011. Her research specializes in the deep history of precolonial and early colonial East Africa, with expertise spanning two millennia of social, economic, and political transformations in eastern Africa. Her educational background includes: Ph.D. in History from Northwestern University (2007) M.A. in Climate & Society from Columbia University (2021) M.A. in History from Northwestern University (2002) B.A. Hons. in Swahili & History from SOAS, University of London (2000) Professor Stephens' research focuses on conceptual history in African contexts, particularly examining how communities in eastern Uganda have constructed ideas of wealth, poverty, and motherhood across 2,000 years. Her interdisciplinary methodology integrates historical linguistics, anthropology, and climate science to explore gender, power, and socio-economic structures. Key contributions include her monographs Poverty and Wealth in East Africa: A Conceptual History (Duke University Press, 2022) and A History of African Motherhood: The Case of Uganda, 700-1900 (Cambridge University Press, 2013), which established new frameworks for understanding African social institutions. Her scholarly publications reveal a consistent trajectory toward integrating climate history with gender and conceptual analysis. Early work centered on lineage systems and motherhood in precolonial Uganda, while recent articles increasingly examine longue durée approaches to poverty and climate adaptation, culminating in her current collaborative project on gender, power, and climate across fifteen centuries of East African coastal history. Major recognitions include: Davis Center for Historical Studies Fellowship (Princeton, 2022-23) Provost’s Grant to Mid-Career Faculty (Columbia, 2022) Andrew W. Mellon New Directions Fellowship (2020-2022) Columbia Distinguished Faculty Award (2020) Honorable Mention for African Studies Association Bethwell A. Ogot Prize (2014) At Columbia, Stephens trains doctoral students in deep historical methods for African studies and teaches core courses including African Civilization (Global Core), Gender and Sexuality in African History, and East African History. She has received the Lenfest Distinguished Faculty Award for exceptional teaching (2019-20) and served as chair of the Junior Faculty Advisory Board (2018-19) and Policy and Planning Committee (2021-22). Her research is supported by multiple grants including the Mellon New Directions Fellowship and Columbia's Provost Grant. She currently leads a collaborative interdisciplinary project examining gender, power, and climate change across 1,500 years of East African coastal history, working with climate scientists and anthropologists to integrate environmental data with historical archives.

Gëzim Krasniqiمشاهده پروفایل

مدرس

• Political Sociology
• Sociology of Nationalism
• Citizenship Studies
• +۶ مورد دیگر

Dr. Gëzim Krasniqi is a Lecturer in Nationalism and Political Sociology and Programme Co-Director of the MSc Nationalism in Global Perspective at the University of Edinburgh's School of Social and Political Science. His work focuses on nationalism, citizenship, and state-building in Southeast Europe, particularly Kosovo and the Balkans. He holds a PhD from the University of Edinburgh and has taught courses like Theorising Nationalism and Nationalism, Populism and Democracy . Education: PhD in Sociology, University of Edinburgh MA in Sociology, Central European University MA in Sociology, University of Sarajevo and University of Bologna BA in Sociology, University of Prishtina Research Interests: Dr. Krasniqi specializes in political sociology and nationalism, with emphasis on citizenship in contested states, ethnic conflicts, and post-Yugoslav state-building. His work examines how nationalism shapes intra-group power dynamics and citizenship policies in liminal polities like Kosovo and Northern Cyprus. He is an Associate Editor of Identities and Book Review Editor of Nations and Nationalism . Key Themes in Publications: His articles analyze EU-Kosovo relations, citizenship laws, and the geopolitical role of Great Powers in the Balkans. Recent work explores the EU's influence on state-building and the socio-political implications of passports for marginalized groups. Awards & Grants: No explicitly listed awards, but he has secured institutional support for research projects on Kosovo policy-making and EU integration. Labs/Teams: He co-leads the ASEN Edinburgh branch, advancing studies on ethnicity and nationalism. His supervision includes PhD projects on Romani activism, digital ID systems, and micro-level nationalism.

Danial Chitnisمشاهده پروفایل

مدرس

• Microelectronics
• Biomedical Engineering
• Quantum Technology
• +۳ مورد دیگر

Dr. Danial Chitnis is a Chancellor's Fellow and Lecturer in Electronics at the School of Engineering, University of Edinburgh. He holds a DPhil in Engineering Science from the University of Oxford (2013) and has expertise in microelectronics, biomedical engineering, and quantum imaging. His research focuses on SPAD arrays, time-of-flight sensors, and wearable optical systems for biomedical applications. Education: BSc in Electronics Engineering, Chamran University of Ahvaz (2002–2007) MSc in Advanced Microelectronics Systems Engineering, University of Bristol (2007–2008) DPhil in Engineering Science, University of Oxford (2009–2013) Research Interests: Single-Photon Avalanche Diode (SPAD) arrays for optical communications and biomedical imaging Quantum-enhanced imaging via QuantIC Hub Wearable sensors for near-infrared spectroscopy (NIRS) AI-driven automation in test and measurement systems Articles Trends: Recent work emphasizes AI integration in electronics design, photon-counting receivers for 6G networks, and portable biomedical devices. Notable contributions include SYCL-based acceleration of circuit simulations and FPGA-driven time-to-digital converters. Grants & Collaborations: Principal Investigator of multiple grants, including EPSRC-funded projects on AI-enhanced human-machine interfaces and quantum technology applications. Collaborates with UCL, QuantIC, and industry partners like Keysight Technologies. Labs/Teams: Co-investigator at QuantIC, the UK Quantum Technology Hub in Quantum Enhanced Imaging. Leads interdisciplinary research on detector arrays and systems for quantum physics and consumer cameras.

Xihong Linمشاهده پروفایل

استاد

• Statistical Machine Learning and AI
• Statistical Genetics and Genomics
• Causal Inference and Mediation Analysis
• +۴ مورد دیگر

Xihong Lin is a Professor of Statistics at Harvard University and a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She is a distinguished academic, holding membership in both the National Academy of Sciences and the National Academy of Medicine. Her research focuses on scalable statistical inference for big data, statistical machine learning, causal inference, and integrative data analysis, with applications in genomics, public health, and precision medicine. Lin’s work addresses challenges in analyzing large-scale genomic and multi-ancestry data, including methods for rare variant association testing, ancestry-adjusted sample analysis, and scalable computing frameworks. Her contributions span biobank studies (e.g., UK Biobank, TOPMed) and clinical applications in lung cancer, cardiovascular health, and smoking cessation. Her scientific awards reflect her leadership in statistical genetics and public health. Key research trends include leveraging single-cell sequencing for functional genomics, developing ensemble machine learning methods for health subtyping, and enhancing polygenic risk prediction across diverse populations. Lin’s methodologies prioritize interpretability and scalability, enabling impactful analyses of complex observational and genomic datasets. Awards: Member, National Academy of Sciences; Member, National Academy of Medicine Her grants and advising efforts focus on interdisciplinary collaborations, bridging statistics, AI, and domain sciences. Lin leads initiatives to improve genomic data management and ethical use of federated data (e.g., FADI framework). She is affiliated with labs advancing statistical genetics and cloud-based workflows (e.g., STAAR workflow).

• Decarbonization of Built Environments
• Bio-Based Materials Engineering
• Structural Systems Optimization
• +۳ مورد دیگر

Dr. Bhavna Sharma is an Associate Professor and Director of the Chase L. Leavitt Master of Building Science Program at the USC School of Architecture. Her work focuses on decarbonization, bio-based materials innovation, and sustainable healthcare infrastructure. She leads the Keck USC Sustainable Healthcare Initiative (KUSHI) to advance environmentally conscious healthcare systems. Dr. Sharma holds a Ph.D. in Civil and Environmental Engineering from the University of Pittsburgh, with additional degrees in Art History and Architecture. Her research spans structural systems optimization from material harvesting to building-scale applications, emphasizing bio-composites like bamboo and timber. She co-chairs USC's Presidential Working Group on Sustainability, contributing to Assignment: Earth climate goals. Courses taught include seismic design, structural systems, and building science integration. Key research areas include lifecycle assessment in healthcare, seismic-resistant designs, and interdisciplinary standards for non-conventional materials. Her work bridges material science, architectural practice, and policy to address global sustainability challenges.