Find Academic Supervisors

Elisabet RomeroView profile

Researcher

• Artificial Photosynthesis
• Solar Energy Conversion
• Ultrafast Spectroscopy
• +7 more

Dr. Elisabet Romero is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) , where she leads research in bio-inspired solar energy conversion . Her work focuses on designing chromophore-protein assemblies capable of efficiently converting sunlight into electrochemical energy, mimicking natural photosynthesis. She is supported by prestigious grants, including an ERC Starting Grant and a Marie Curie Fellowship . Education: PhD in Biophysics, VU Amsterdam (2011) Master’s in Chemistry, Institute of Advanced Chemistry of Catalonia BSc in Chemistry (Physical Chemistry specialization), University of Barcelona (2003) Research Interests: Dr. Romero’s research lies at the intersection of physical chemistry, photophysics, and sustainable energy . She investigates the quantum mechanical principles underlying energy and electron transfer in photosynthetic systems, applying this knowledge to engineer artificial systems for solar fuel production. Her group uses ultrafast spectroscopy techniques like transient absorption and 2D electronic spectroscopy to probe femtosecond-scale dynamics. Publications & Research Trends: Her recent publications reflect a strong trend in de novo protein design for artificial light harvesting , excitonic coupling in chromophore systems , and quantum effects in biological energy transfer . Collaborative work with leading institutions highlights her role in advancing synthetic biology and quantum bio-inspired materials. Scientific Awards: European Research Council (ERC) Starting Grant Marie Curie Fellowship Advising and Grants: Dr. Romero mentors a dynamic team of PhD students, postdoctoral researchers, and master’s students . Her group has secured competitive funding from the ERC, Severo Ochoa Programme, and Marie Skłodowska-Curie Actions , supporting innovative research in renewable energy technologies. Labs and Teams: Her laboratory at ICIQ is equipped with state-of-the-art ultrafast spectroscopy facilities. The team fosters a collaborative and inclusive environment, combining rigorous scientific inquiry with social engagement and cultural exchange.

• Archaeology
• Material Culture
• Political Anthropology
• +7 more

Adam T. Smith is Distinguished Professor of Arts and Sciences in Anthropology at Cornell University, where he holds appointments in the Department of Anthropology, the Archaeology Program, and the Milstein Program in Technology & Humanity. He is a leading scholar in Eurasian archaeology, specializing in the South Caucasus, with a focus on the emergence of complex societies and the materiality of political authority. Smith is a co-founder of Project ArAGATS and leads Caucasus Heritage Watch, a pioneering initiative using satellite technology to monitor cultural heritage at risk. His educational background includes a Ph.D. and M.A. in Anthropology from the University of Arizona, an M.Phil. from the University of Cambridge, and a B.A. in Anthropology & Political Science from Brown University. Smith's research interests span archaeology, material culture, political and legal anthropology, heritage and museums, and the archaeology of sovereignty. His work combines theoretical inquiry with empirical fieldwork, exploring how objects, landscapes, and built environments shape political life from the Bronze Age to the present. He is particularly known for his work on the Urartian state, Bronze Age metaphysics, and the long-term political dynamics of the Armenian Highland. His recent publications reveal a strong trend in using archaeology to address contemporary issues of heritage destruction, collective memory, and cultural erasure, especially in conflict zones like Nagorno-Karabakh. The articles show a deep engagement with remote sensing, geophysical survey, and interdisciplinary methods to reconstruct past societies and protect endangered heritage. Fellow, Milstein Program in Technology and Humanity, Cornell University (2023–2025) Finalist, Falling Walls Science Breakthrough of the Year, Social Sciences and Humanities (2023) Certificate of Communal Partnership, St. James AME Zion Church, Ithaca NY (2023) John Simon Guggenheim Memorial Foundation Fellow (2010–2011) Fellow, Cornell University Society for the Humanities (2010–2011) Fellow, Howard Foundation (2006–2007) Fellow, Franke Institute for the Humanities, University of Chicago (2003–2004) National Endowment for the Humanities/American Councils for International Education Collaborative Research Fellow (2003) Fellow, Michigan Society of Fellows, University of Michigan, Ann Arbor (1997–1999) Smith advises graduate students, leads the Landscapes and Objects Laboratory, and directs major research initiatives including Project ArAGATS and the St. James AME Zion Community Excavations. His work has been supported by grants from the National Science Foundation, Wenner-Gren Foundation, National Geographic Society, and other leading institutions. He is actively engaged in public archaeology, policy advocacy, and community-based research, bridging academic scholarship with real-world impact.

Donna Marie LadkinView profile

Professor

• Leadership Studies
• Ethics in Organizations
• Inclusive Leadership
• +12 more

Professor Donna Marie Ladkin is a leading scholar in leadership and ethics at the Department of Management, Birmingham Business School, University of Birmingham. She holds the title of Professor of Inclusive Leadership and is internationally recognized for her critical, philosophically grounded contributions to leadership theory. Her academic journey includes prior roles at Cranfield University, Plymouth University, and Antioch University in the USA, where she contributed to doctoral programs in leadership and change. PhD in Organizational Psychology, Cranfield University (1992) MBA, Cranfield University (1988) MA in Environmental Ethics, Lancaster University (2004) BA in Music and Philosophy, Yale University (1981) Donna Ladkin’s research critically examines leadership through the lenses of continental philosophy, embodiment, aesthetics, and ethics. Her work challenges dominant paradigms such as authentic and transformational leadership by highlighting their cultural, racial, and epistemological biases. She is a pioneer in exploring how embodied practices, aesthetic sensibility, and critical race theory can enrich leadership understanding. Her current interests include decolonizing management research, fostering ecologically sustainable organizations, and developing culturally responsive leadership in education. Her recent publications reflect a strong trend toward critical, inclusive, and philosophically rigorous leadership scholarship. The 15 most recent works span topics such as whiteness in leadership theorizing, embodied sustainability practices, and the ethical implications of aesthetic leadership. These articles are published in premier journals like Leadership Quarterly , Business Ethics Quarterly , and Journal of Business Ethics , demonstrating consistent high-impact contributions. Among her scientific honors are being named a Fellow of the Royal Society of Arts and co-authoring one of the most influential articles of the 2010–2020 decade in The Leadership Quarterly . Her book Rethinking Leadership (2020) has received widespread acclaim for reimagining foundational leadership concepts. She actively supervises doctoral candidates and has designed leadership development programs for both academic and public sector clients. Her consulting work includes engagements with BT, the UK National Audit Office, Sony, and housing associations. As a sought-after keynote speaker, she has presented at major international conferences, including those of the International Leadership Association and the International Studying Leadership Conference. She also contributes to public discourse through podcasts, such as her appearance on the ILA’s Phronesis series discussing race in leadership. Donna Ladkin’s research is deeply collaborative and interdisciplinary, often involving scholars from philosophy, organizational behavior, and ethics. She has maintained long-standing affiliations with institutions like the University of Bath’s Centre for Action Research in Professional Practice, reflecting her commitment to applied, transformative scholarship.

Jon Olav VikView profile

Professor

• Systems Biology
• Computational Biology
• Aquaculture
• +7 more

Jon Olav Vik is a Professor at the Norwegian University of Life Sciences (NMBU), affiliated with the Department of Mathematical Sciences and Technology within the Faculty of Science and Technology. He leads the DigiSal project—"Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture"—funded under the Research Council of Norway’s Digital Life initiative. He is also a lead modeller in the GenoSysFat project, which aims to enhance omega-3 content in farmed salmon through integrated genomics and systems biology approaches. His research spans systems biology , computational physiology , genotype-phenotype modeling , and ecological dynamics . He works at the intersection of biology, mathematics, and computer programming, developing models to understand how genetics, nutrition, and environment interact in fish and ecological systems. His pedagogical focus includes biostatistics and programming in R, and he teaches courses such as STIN100, STIN300, and STAT100. The 15 most recent publications reflect a consistent focus on systems-level understanding in biology, particularly in salmon aquaculture, metabolic regulation, and genotype-phenotype relationships. These works appear in high-impact journals like Nature , Science , PLOS Computational Biology , and Journal of The Royal Society Interface , demonstrating interdisciplinary reach across computational biology, genomics, ecology, and biostatistics. Key themes include metabolic modeling, microbiome stability, lipidome remodeling, and sensitivity analysis in dynamic models. Jon Olav Vik has contributed to major collaborative efforts including the Infrastructure for Systems Biology Europe (ISBE) , where he helped develop frameworks for "modelling as a service." He has also authored book chapters and technical deliverables on systems biology and modeling practices. He actively supervises students and invites master’s thesis candidates with interests in quantitative biology. While no specific awards are listed, his leadership in national and international research projects underscores his scientific impact. His work supports both fundamental science and sustainable aquaculture innovation.

Bruce StephenView profile

Senior Lecturer

• Data-Driven Methods
• Power Systems
• Smart Grids
• +12 more

Bruce Stephen is a Senior Lecturer and Strathclyde Chancellor's Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he has been since 1999. His work lies at the intersection of data science and power systems engineering, with a strong focus on real-world industrial applications. His educational background includes a BSc in Aeronautical Engineering from the University of Glasgow (1997), an MSc from the University of Strathclyde (1998), and a PhD in Electronic and Electrical Engineering (2005) from the University of Strathclyde. Dr. Stephen's research centers on data-driven methodologies for solving complex engineering challenges in power systems, particularly under conditions of limited data or domain knowledge. His applications span the entire energy value chain—from generation (nuclear, wind, solar) to transmission, distribution, and end-use. He develops software solutions for condition assessment, anomaly detection, and predictive modeling to support asset management and future grid planning. Notably, he co-founded Silent Herdsman Ltd, a spin-out company applying intelligent systems to precision livestock farming. His recent publications highlight a strong trend toward advanced machine learning techniques such as transfer learning, surrogate modeling, and synthetic data generation (e.g., using CTGANs) to improve reliability and decision-making in power systems. These works emphasize explainability, uncertainty quantification, and scalability, particularly in renewable-rich and data-scarce environments. Dr. Stephen is currently the Principal Investigator on the EPSRC-funded Analytical Middleware for Informed Distribution Networks (AMIDiNe) project, aiming to identify barriers to Net Zero through improved data modeling of unmonitored networks. He has also contributed to major projects including EU FP7 ORIGIN, EPSRC APAtSCHE, AGILE, and Transactive Energy Supply Arrangements. He actively advises students and collaborates on interdisciplinary research. His professional activities include organizing the QFF Quarterly Forecasting Forum (2018) and delivering invited talks at industry workshops. He has supervised datasets and research involving structural health monitoring and industrial diagnostics. His work supports UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action.

Brigitte GagnonView profile

Adjunct Professor

• Educational Leadership
• Teacher Professional Development
• Well-being in Education
• +2 more

Brigitte Gagnon is an Adjunct Professor at the Faculty of Education, University of Sherbrooke, where she coordinates the Master's in Education Management research-action program. Her academic background includes a Professional Doctorate in Education (2020), a Graduate Diploma in Education Management (2013), a Master's in Preschool and Primary Education (2009), and additional certifications in cooperative learning and French language teaching. Her research examines: Individual/collective support systems for school leaders Well-being strategies for educational staff Pedagogical and organizational development in learning institutions Action research methodologies in education She leads multiple funded projects, including CRSH-supported studies on professional competence modeling and FRQSC collaborations on interprofessional school staffing. Her publications demonstrate strong focus on educational leadership development, well-being frameworks, and action research applications in Quebec's school systems. Recurring themes include mentorship models, organizational change, and professional competence in complex educational environments. She maintains active research partnerships with school service centers (notably Centre de services scolaire des Hautes-Rivières) and coordinates professional learning communities for educational leaders. Current projects involve developing resources for school administrator well-being and novice teacher support systems.

Baris KasikciView profile

Associate Professor

• Computer Systems
• Reliability
• Security
• +8 more

Baris Kasikci is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Previously (2017-2023), he was a Morris Wellman Assistant Professor in the Electrical Engineering and Computer Science Department at the University of Michigan. His research focuses on building efficient and trustworthy computer systems through innovative combinations of approaches from systems, computer architecture, and programming languages. Dr. Kasikci received his PhD in Computer Science at EPFL and has held research positions at Microsoft Research Cambridge, Google, Intel, and VMware. His work addresses critical challenges in system reliability, security, and performance in increasingly complex software ecosystems. His research interests center on improving the efficiency of datacenter applications and machine learning systems, analyzing and fixing failures, and enhancing hardware security. His lab develops techniques for automated bug detection, formal verification of distributed systems, and building systems support for heterogeneous hardware architectures. Recent projects include Whisper (profile-guided branch misprediction elimination), Huron (taming false sharing), and Agamotto (automatic detection and repair of bugs in persistent memory applications). Analysis of his recent publications shows a strong trend toward optimizing large language model serving, hardware security, and performance optimization for modern heterogeneous architectures. His work bridges traditional systems research with emerging AI infrastructure needs, particularly in efficient LLM serving, security vulnerabilities in modern hardware, and performance optimization for heterogeneous computing environments. NSF CAREER award Microsoft Research Faculty Fellowship Intel Rising Star Award VMware Early Career Faculty Grant Google Faculty Award Roger Needham PhD Award (best PhD thesis in computer systems in Europe) Patrick Denantes Memorial Prize (best PhD thesis at EPFL) Best Paper Award at OSDI'18 Best Paper Award at MICRO'22 Dr. Kasikci has advised numerous PhD students who have gone on to prestigious positions in academia and industry, including Tanvir Ahmed Khan (Assistant Professor at Columbia University), Akshitha Sriraman (Assistant Professor at CMU), and Jiacheng Ma (AMD). His research has been supported by significant grants from NSF, DARPA, Intel, Google, Microsoft, VMware, and Amazon. His lab, the EfesLab, focuses on building tools and techniques that make computer systems more reliable, secure, and efficient. The EfesLab, led by Dr. Kasikci, brings together postdocs, PhD students, and undergraduate researchers to tackle fundamental challenges in systems reliability and performance. The lab has developed numerous influential tools including Whisper, Huron, and Agamotto that address critical performance and reliability issues in modern computing systems. Current research directions include efficient LLM serving, security of emerging hardware technologies, and automated debugging techniques.

• Probability Theory
• Interacting Particle Systems
• Percolation Theory
• +3 more

Réka Szabó is an Assistant Professor at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Netherlands, since October 2022. Her academic trajectory includes a postdoctoral fellowship at Université Paris-Dauphine (2019–2022) and a Ph.D. in Mathematics (2015–2019) at the University of Groningen under Daniel Valesin. Education: B.Sc. in Mathematics, Budapest University of Technology and Economics (2008–2011) M.Sc. in Applied Mathematics, Budapest University of Technology and Economics (2011–2015) M.Sc. in Computer Science, University of Trento and Eötvös Lóránd University (2012–2014) Ph.D. in Mathematics, University of Groningen (2015–2019) Réka’s research focuses on Interacting Particle Systems and Percolation Theory , with significant contributions to understanding phase transitions, critical behavior, and stochastic dynamics in models like the Contact Process, Oriented Percolation, and Bootstrap Percolation. Her work combines rigorous mathematical analysis with applications to statistical physics and complex networks. She is actively involved in academic service, including organizing the Workshop On Randomness and Discrete Structures (WORDS 2025) and co-organizing the Probability and Statistics Seminar in Groningen. Réka teaches advanced courses such as Stochastic Processes, Interacting Particle Systems, and Mathematics and its Environment.

• Servant leadership
• Artificial Intelligence in management
• Future of work
• +4 more

Milton de Sousa is an Associate Professor at Nova School of Business & Economics in the Department of Management and Organizations, where he served as director of international development and academic director of CEMS MiM. He co-founded the Leadership for Impact Knowledge Center and brings nearly 30 years of professional experience spanning engineering, consulting, and entrepreneurship, including 14 years in the Netherlands. His educational background includes: PhD in Management from the Rotterdam School of Management, Erasmus University (2014) MBA with Distinction from the University of Bradford (2003) Electrical and Computer Engineering from the University of Porto (1998) De Sousa's research centers on servant leadership, meaning in organizations, and the impact of Artificial Intelligence on work and management. He investigates how leadership and technology intersect to shape the future of work, with emphasis on complex adaptive systems and innovation. His work bridges academic theory with practical executive applications through Nova SBE's Leadership for Impact Knowledge Center. Analysis of his 15 most recent publications reveals consistent focus on servant leadership across diverse contexts including cross-cultural studies, organizational change, and AI integration. His research frequently addresses societal challenges, ethical dimensions of leadership, and practical frameworks for managing paradoxes in complex environments. He directs multiple AI-focused executive programs including Managing with AI and AI for HR and Talent Management. As co-host of a leadership podcast at Observador and frequent media contributor, he actively disseminates research insights to broader professional audiences.

• International Economics
• Development Economics
• Environmental Economics
• +7 more

Professor Clara Brandi is a leading academic at the University of Bonn's Department of Economics, holding a professorship in International Economics/Development Economics since September 2022. She simultaneously serves as Head of the Research Department 'Transformation of Economic and Social Systems' at the German Institute of Development and Sustainability (IDOS) since December 2020. Her extensive academic background includes a PhD from the European University Institute, an M.Phil. in Politics from the University of Oxford, and a Diplom in Economics from Albert-Ludwigs-Universität Freiburg. Prof. Brandi's research focuses span International Economics, Development Economics, Environmental Economics, Political Economy, Transformation to Sustainability, and Global Governance with particular emphasis on trade, climate, energy, and sustainable development. Her work bridges theoretical frameworks with practical policy implications, examining how trade agreements can better address environmental concerns, how sustainability standards interact with development goals, and how global governance structures can be reformed for greater effectiveness. She has made significant contributions to understanding the interlinkages between voluntary sustainability standards and due diligence mechanisms, climate finance innovation, and the design of trade agreements that seriously incorporate climate considerations. Her scholarly output demonstrates a clear trajectory toward increasingly integrated approaches connecting trade policy, climate action, and sustainable development. Recent publications show her deepening engagement with climate finance mechanisms like 'climate impact auctions,' the role of trade provisions in advancing environmental goals, and the complex interplay between voluntary sustainability standards and mandatory due diligence requirements. This evolution reflects the growing urgency of addressing climate change through multiple governance channels while ensuring development priorities are not compromised. Scientific Advisory Board of the project 'ENTICE – Enhanced understanding of Trade Impacts on the Climate and the Environment' (since 2025) ADBI Advisory Council 2024-2026 Economic Advisory Network of the Federal Ministry for Economic Cooperation and Development (since 2023) Price Committee of the KfW Promotion Prize (since 2023) Evaluation Working Group of the Johannes-Rau Research Association (since 2023) Scientific Advisory Board for Program Evaluation of the Alexander von Humboldt Foundation (since 2022) Co-Chair of the VSS Academic Advisory Council (since 2020) Prof. Brandi's advisory work demonstrates significant influence in shaping policy discussions at national and international levels. Her engagement with the German Federal Ministry, international research councils, and development institutions reflects her standing as a trusted expert at the intersection of trade, climate, and development policy. Her research often informs practical policy recommendations, particularly regarding how trade agreements can better incorporate environmental and climate considerations without disadvantaging developing countries. Through her dual affiliation with the University of Bonn and IDOS, Prof. Brandi bridges academic research with policy-relevant analysis, contributing to both scholarly debates and practical governance solutions for the most pressing global challenges of our time.

• Sociology of public action
• Sociology of science and technology
• Sociology of labour
• +2 more

Renaud Crespin serves as a CNRS Junior Professor at Sciences Po's Centre for the Sociology of Organisations (CSO), where his research integrates the sociology of public action, science and technology studies, and labor sociology to examine how health and environmental policies are rationalized through technical instruments and scientific expertise. His work critically analyzes the transnational circulation of policy instruments like screening tests across domains including blood donation, HIV/AIDS response, road safety, and drug policy. His academic credentials include: PhD in Political Science from Pantheon-Sorbonne University (2003), with dissertation on "Appropriation and public regulation of a biological tool: The social career of HIV tests, a comparative study (France, USA, Canada, Netherlands)" DEA (M.Phil) in Organisations and Public Policy from Pantheon-Sorbonne University (1995) Master's degree in Political Science from Pantheon-Sorbonne University (1994) Crespin's research reveals how seemingly neutral technical tools become embedded in complex power relations that shape professional practices and policy outcomes. His comparative studies demonstrate how instruments like workplace drug testing technologies travel across national contexts while being adapted to local organizational practices. Recent work examines pandemic response models, environmental risk assessment, and the ecosystemic approach to workplace addiction prevention, highlighting tensions between scientific evidence and political decision-making. As co-leader of the CSO's Knowledge, Science and Expertise research program since 2017, Crespin has fostered interdisciplinary dialogue on expertise in governance. His leadership extends to the CNRS' Institute for Humanities and Social Sciences scientific board (since 2014) and the CNRS' interdisciplinary commission on Methods, practices, and communications of science and techniques (since 2017). He has significantly contributed to public policy through appointments to the Observatory on Health Care Professionals' Quality of Life at Work (2018-2020) and the ANSES Environment-Health-Work national research programme's scientific committee (2014-2018).

Marta HalinaView profile

Associate Professor

• Philosophy of Cognitive Science
• Nonhuman Animal Cognition
• Mechanistic Explanation
• +7 more

Marta Halina is a University Associate Professor in the Philosophy of Cognitive Science at the University of Cambridge, affiliated with the Department of History and Philosophy of Science. She serves as a Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence and is a Fellow of Selwyn College. Her academic journey began with a PhD in Philosophy and Science Studies from the University of California, San Diego in 2013, followed by a McDonnell Postdoctoral Fellowship in the Philosophy-Neuroscience-Psychology Program at Washington University in St. Louis before joining Cambridge in 2014. Halina's educational background includes a PhD from UC San Diego (2013) and postdoctoral training at Washington University in St. Louis. Her academic trajectory reflects a strong interdisciplinary foundation bridging philosophy, cognitive science, and neuroscience. Her research focuses on nonhuman animal cognition, mechanistic explanation, and artificial intelligence, with particular emphasis on comparative cognition and the philosophical foundations of cognitive science. Halina investigates how researchers design studies to address complex questions about animal minds, arguing that current methods in comparative cognition often face challenges with hypothesis underdetermination by empirical evidence. She advocates for additional behavioral constraints on theorizing, known as 'signature testing,' while emphasizing the need to incorporate neuroscience and biology more substantially into animal cognition research. Her work on major transitions in cognitive evolution proposes treating the evolution of cognition as a series of major evolutionary transitions to better comprehend cognitive complexity across species. Analysis of Halina's recent publications reveals a clear trajectory toward computational comparative cognition. Her work increasingly integrates AI and machine learning techniques with traditional comparative cognition approaches, exemplified by her development of the Animal-AI Testbed. This platform allows for direct comparison between AI systems, humans, and animals on cognitive tasks, revealing that while AI and children perform similarly on basic navigational tasks, children outperform AI on more complex cognitive tests requiring object permanence. Her research demonstrates how computational modeling can generate novel hypotheses about animal behavior that generate precise, testable predictions beyond what traditional experimental methods alone can achieve. McDonnell Postdoctoral Fellowship Halina directs research initiatives at the Leverhulme Centre for the Future of Intelligence, particularly focusing on the intersection of AI and animal cognition. Her work on the Animal-AI Environment has received significant funding and collaborative support, enabling interdisciplinary research that bridges computer science, cognitive science, and biology. She actively collaborates with researchers across multiple institutions to develop computational frameworks for understanding nonhuman animal cognition. Halina leads significant research initiatives through the Leverhulme Centre for the Future of Intelligence, where she develops the Animal-AI Environment—a research platform for conducting cognitive experiments with artificial agents, humans, and nonhuman animals in directly comparable, ecologically valid contexts. This environment facilitates interdisciplinary collaboration between computer scientists, engineers, biologists, and cognitive scientists, reducing the 'language barrier' between these fields and enabling cross-pollination of ideas and methodologies.

James H. AndersonView profile

Professor

• Real-time systems
• Distributed computing
• Concurrent algorithms
• +3 more

James H. Anderson is the Kenan Distinguished Professor and Department Chair in the Department of Computer Science at the University of North Carolina at Chapel Hill, where he has been a faculty member since 1993. A leading researcher in real-time systems and distributed computing, he previously served at the University of Maryland (1990-1993). His educational background includes: B.S. in Computer Science from Michigan State University (1982) M.S. in Computer Science from Purdue University (1983) Ph.D. in Computer Sciences from the University of Texas at Austin (1990) Anderson's research focuses on real-time systems, distributed and concurrent algorithms, multicore computing, and operating systems. His work addresses fundamental challenges in scheduling, resource management, and reliability in time-critical environments, with recent emphasis on GPU acceleration for AI workloads and heterogeneous platforms. He investigates novel approaches to budget enforcement, processing graph scheduling, and timing predictability in complex systems. Analysis of his recent publications reveals a strong trend toward applying real-time scheduling principles to GPU and heterogeneous computing architectures. Key research thrusts include enabling predictable AI acceleration, managing timing uncertainties in autonomous systems, and developing composable resource partitioning techniques for safety-critical applications. His distinguished honors include: U.S. Army Research Office Young Investigator Award (1995) Alfred P. Sloan Research Fellowship (1996) Seven Computer Science Student Association Teaching Awards (1995-2019) Fellowships from IEEE (2012), ACM (2013), AAAS (2020), and AAIA (2022) IEEE TCRTS Outstanding Technical Achievement and Leadership Award (2018) Anderson actively mentors through the TOPICS Club, a reading group for undergraduate students that he co-leads with Cynthia Sturton and Danielle Szafir. His professional leadership includes chairing IEEE TCRTS (2016-2017) and ACM SIGBED (2019-2021), plus service as program/general chair for major conferences including RTSS, PODC, ECRTS, and RTAS. He directs ongoing research initiatives in real-time systems through collaborative projects and the TOPICS Club, which provides undergraduates with hands-on research experience in cutting-edge computer science topics.

Waël JaafarView profile

Professor

• Wireless Communications
• 5G/6G Networks
• Space Telecommunications
• +7 more

Waël Jaafar is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ETS), a constituent school of the Université du Québec system in Montreal, Canada. His research spans multiple critical domains in modern communications and computing infrastructure, with a particular focus on next-generation wireless networks and intelligent systems. Dr. Jaafar holds a B.Eng. from Sup'Com Tunisie, and both M.Sc.A. and Ph.D. degrees from Polytechnique Montréal. His academic background provides a strong foundation for his interdisciplinary research that bridges theoretical concepts with practical engineering solutions. His research interests center around wireless communications systems, with particular emphasis on 5G/6G networks, UAV communications, space telecommunications, and machine learning applications for networking. He has developed significant expertise in federated learning techniques for distributed networks, cybersecurity applications for next-generation mobile systems, and edge computing architectures. His work frequently explores the intersection of communication theory, artificial intelligence, and network security, with applications ranging from industrial IoT to public safety communications. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with wireless networking infrastructure, particularly focusing on UAV-assisted communications, federated learning approaches for distributed networks, and security enhancements for 5G/6G systems. His research demonstrates increasing emphasis on practical implementation challenges including energy efficiency, communication overhead reduction, and reliability in non-ideal network conditions. As an academic supervisor, Dr. Jaafar actively mentors numerous graduate students across various projects. He currently supervises doctoral candidates working on blockchain-enhanced security for 5G networks, green network slice orchestration, and federated learning approaches for Open RAN architecture. His master's students are engaged in diverse topics including LiDAR-based power line monitoring, multimodal behavioral authentication, and 5G/6G security using AI techniques. Dr. Jaafar is affiliated with two prominent research laboratories at ETS: LASI (Computer System Architecture Research Laboratory) and LACIME (Communications and Microelectronic Integration Laboratory). At LASI, he contributes to research in AI-based systems engineering, resource orchestration in edge/cloud environments, and intelligent network design. Through LACIME, he engages with broader communications research spanning from microelectronic components to complex communication systems, with particular focus on wireless networks and signal processing applications.

Christian UnkelbachView profile

Professor

• Social Cognition
• Evaluative Judgments
• Information Ecologies
• +6 more

Christian Unkelbach is Professor of Social Psychology at the Department of Psychology, Faculty of Humanities, University of Cologne, where he leads the Unkelbach Group. His research spans multiple domains of social and cognitive psychology with significant contributions to understanding evaluative processes. His primary research interests include Social Cognition, Evaluative Judgments, Information Ecologies, Stereotypes and Prejudice, Evaluative Learning, Fluency Effects, and Sport Psychology. Unkelbach's work examines how humans process evaluative information in social contexts, with particular focus on the truth-by-repetition effect , evaluative conditioning , and cognitive ecological frameworks that explain why certain information patterns dominate social cognition. His research demonstrates how repetition increases belief in information , how attributes become associated through mere pairings , and why positive information is processed more efficiently than negative information. Analysis of his recent publications reveals a consistent trajectory examining the relativity of social cognition , truth effects across contexts , and metacognitive awareness of cognitive biases . His work increasingly integrates cross-linguistic perspectives and examines real-world applications in media consumption and social judgment. Honorary Doctorate from UCLouvain (2025) ISCON Best Paper Award 2020 Speaker of DFG Research Unit FOR2150 'Relativity in Social Cognition' (2017-2021) Emmy Noether Research Grant (DFG, 2009-2013) Feodor Lynen Research Scholarship (Alexander von Humboldt Foundation) Fulbright Scholarship Unkelbach has advised numerous doctoral researchers including Andreas Miculka, Anne Irena Weitzel, Felix Speckmann, Lea Sperlich, and Tabea Zorn. His research group has secured multiple C-SEB grants for projects examining social cognition phenomena. The Unkelbach Group maintains active collaborations with international researchers across Europe and North America, with recent work funded through the DFG Research Unit on Relativity in Social Cognition. The Unkelbach Group laboratory at Richard-Strauss-Str. 2 in Cologne comprises postdoctoral researchers, doctoral candidates, and student assistants working on experimental paradigms examining evaluative learning, truth effects, and social judgment processes. Current projects investigate cross-linguistic truth effects, metacognitive monitoring of repetition effects, and ecological validity in social cognition frameworks.