Shubham Tulsiani is an Assistant Professor at Carnegie Mellon University's Robotics Institute, where he leads the Computer Vision group and the Physical Perception Lab. His research focuses on inferring physically and spatially grounded representations from perceptual inputs, with applications in 3D vision, robot manipulation, and neural scene reconstruction. He directs an active research group with multiple PhD and Master's students. Research interests center on 3D scene understanding , robot learning , and generative modeling , with specific emphasis on: self-supervised perception, neural rendering, multi-view geometry, manipulation from visual inputs, and physics-based reasoning. The lab develops methods that leverage physical world constraints as supervisory signals. Recent publications demonstrate strong focus on diffusion models for 3D tasks , sparse-view reconstruction , and robotic manipulation transfer . Key trends include neural inverse rendering, view synthesis from limited observations, and translating human interactions to robot actions. Awards include: Best Student Paper Award at CVPR 2015 Advising includes supervision of 5 PhD students, 4 MS students, and undergraduates. Lab alumni hold positions at Google, Stanford, Meta, and Princeton. The Physical Perception Lab collaborates with FAIR Pittsburgh and the CMU Computer Vision group.
Seddik M. Djouadi is a Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD from McGill University (1999), an M.A.Sc. from École Polytechnique (1992), and a B.Sc. from École Nationale Polytechnique (1989). His research focuses on robust control, distributed systems, wireless communication, model reduction, and power networks. He has authored over 100 publications and received awards including recognition as an outstanding reviewer by Automatica (2006-2007, 2003-2004) and the Tibbets Award (1999). Education: PhD in Electrical Engineering, McGill University, 1999 M.A.Sc., École Polytechnique, 1992 B.Sc., École Nationale Polytechnique, 1989 Research Interests: Robust and distributed control Wireless communication systems Model reduction for fluid flows Power network dynamics and renewable integration Biological systems modeling Cyber-physical systems security Awards: Outstanding Reviewer, Automatica (2006-2007, 2003-2004) Best Paper Award, Mediterranean Conference on Intelligent Systems (2008) Ralph E. Powe Junior Faculty Enhancement Award (2005) Tibbets Award (1999) Students and Advising: Djouadi has mentored over 20 graduate students and postdoctoral researchers, including current advisees Yichen Zhang and Ehsan Raoufat. Notable past students include Jin Dong (now at Oak Ridge National Laboratory) and Xiao Ma (Western Digital). Projects: Current research includes distributed control of large power networks, data-driven nonlinear model reduction, and stochastic modeling of wireless systems. Collaborations involve ORNL and TVA on energy systems and cybersecurity.
Prof. Alexander Pretschner is a Professor of Software & Systems Engineering at the Technical University of Munich (TUM) and Founding Director of the Bavarian Research Institute for Digital Transformation (bidt). He also serves as Scientific Director of fortiss, a Bavarian research institute for software-intensive systems. His research focuses on software engineering, testing, information security, and ethical software development. Pretschner holds a PhD from TUM and has held academic positions at Karlsruhe Institute of Technology (KIT) and TU Kaiserslautern. He is a co-editor of several prestigious journals, including IEEE Transactions on Reliability and the Journal of Software Testing, Verification and Reliability. Education: PhD in Computer Science, Technical University of Munich MSc in Computer Science, University of Kansas (on Fulbright Scholarship) Diplom in Computer Science, RWTH Aachen University Research Interests: His work spans testing methodologies, secure software design, and ethical considerations in agile development. Notable contributions include frameworks for metamorphic testing, distributed data usage control, and accountability mechanisms for cyber-physical systems. Awards: IBM Faculty Award (2012, 2013) Google Focused Research Award (2011, 2012) EARTO Innovation Prize (2014) 2nd Platz Supervisory Award (2020) Advising & Grants: Pretschner has supervised numerous PhD and Master’s students, contributing to over 200 publications. He leads projects like EDAP (Ethical Deliberation in Agile Processes) and collaborates with industry partners on cybersecurity and AI ethics initiatives. Labs & Teams: His work is anchored in bidt, fortiss, and TUM’s Chair of Software & Systems Engineering, focusing on societal impacts of digitalization and trustworthy AI systems.
Rahul Mangharam is a Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania's School of Engineering and Applied Science, with a secondary appointment in Computer and Information Science. He directs the Safe Autonomous Systems Lab (mLAB) and is a founding member of the PRECISE Center. Mangharam serves as Penn Director for the Safety21 DoT National University Transportation Center ($20MM), Director of the Autoware Center of Excellence, and leads the F1Tenth Autonomous Racing Community. Education: Ph.D. in Electrical & Computer Engineering, Carnegie Mellon University M.S. in Electrical & Computer Engineering, Carnegie Mellon University B.S. in Electrical & Computer Engineering, Carnegie Mellon University His research bridges formal methods, machine learning, and control systems with applications in medical devices, autonomous systems, and energy-efficient buildings. Key focus areas include safety verification for autonomous vehicles, real-time control systems, and patient-specific cardiac modeling for clinical applications. Recent work explores conformal prediction for safe perception, differentiable control barrier functions, and explainable autonomous systems. Mangharam's publication trends show strong emphasis on autonomous systems safety (control synthesis, uncertainty quantification) and biomedical applications (cardiac modeling, clinical decision support). His 2022-2023 publications demonstrate cross-disciplinary approaches combining control theory, machine learning, and formal methods for robust autonomous systems. Awards and Honors: Presidential Early Career Award (PECASE) 2016 IEEE Benjamin Franklin Key Award 2014 NSF CAREER Award 2013 Intel Early Faculty Career Award 2012 National Academy of Engineers US Frontiers of Engineering (2012, 2018) Stephen J. Angelo Term Chair (2008-2013) He leads multiple major grants including NSF CAREER, DoT Safety21 Center ($20MM), DoE Energy-Efficient Building Hub ($160MM), and DARPA HACMS. Current PhD students include Zirui Zang. Mangharam founded the F1Tenth autonomous racing platform used globally for education and hosts international competitions through the Autoware Center of Excellence.
Sahar Pirooz Azad is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. She holds a PEng designation and specializes in power systems engineering, particularly in HVDC systems and grid stability. Previously, she served as an Assistant Professor at the University of Alberta (2015–2017) and conducted postdoctoral research at the University of Toronto’s CAPE Centre and KU Leuven in Belgium. Her research focuses on enhancing power grid stability through advanced control schemes for HVDC grids, converter modeling, and fault protection mechanisms. Dr. Azad’s work addresses challenges in multi-terminal HVDC systems, offshore wind grid integration, and multi-vendor system compatibility. She has taught courses like Power System Protection and Relaying (ECE 765) and Electromechanical Energy Conversion (ECE 260), reflecting her expertise in both theoretical and applied electrical engineering. Her recent publications emphasize innovative protection schemes for HVDC grids, fault detection algorithms using signal processing (e.g., Hilbert-Huang Transform), and robust controller designs for multi-vendor VSC systems. These contributions aim to improve grid reliability, fault resilience, and renewable energy integration efficiency. Dr. Azad is actively recruiting graduate students and holds Sole-Supervisory Privilege Status (SSPS) at Waterloo. Her research has been supported by European Commission-funded projects like MEDOW and leverages interdisciplinary approaches to tackle modern grid challenges.
Martin Ruhs is a Full-time Professor of Migration Studies and Deputy Director of the Migration Policy Centre (MPC) at the European University Institute (EUI) in Florence. Previously, he served as Professor of Political Economy at the University of Oxford. His academic appointments include significant leadership roles at the Robert Schuman Centre for Advanced Studies. Ruhs's research focuses on the economics and politics of international migration with a strong international comparative dimension. He is particularly interested in the links between migration and wider public policies, and the tensions between diversity in national institutions and supra-national policy-making. His work addresses key questions and dilemmas in public policy-making across Europe, North America, and Asia. Analysis of his recent publications reveals a consistent focus on migration policy dilemmas, with particular emphasis on irregular migration, public perceptions of fairness in asylum systems, ethical considerations in migration governance, and the relationship between migration and welfare states. His research combines theoretical rigor with practical policy implications, often examining how institutional frameworks shape migration outcomes. Co-editor of the World Migration Report 2018 (IOM) Co-author of a 2022 European Parliament study on rights of irregular migrant workers Regular contributor to major media outlets including New York Times, Financial Times, Guardian, and Irish Times Ruhs currently provides policy analysis and advice for various national governments and international institutions. His supervisory work includes mentoring PhD students Andreea Ferent, Julie Fournier, and Hirotaka Fujibayashi. His ongoing research projects include 'Protecting Irregular Migrants in Europe (PRIME)' (2023-26), freeEUmove, MEDAM, DYNAMIG, MigResHub, AFAR, Dilemmas, and research on EU Member States' protection policies for Ukrainian refugees.
Julien Warnan is a researcher at the Catalysis Research Center (CRC) of the Technical University of Munich (TUM). He leads a multidisciplinary research group focusing on renewable energy, particularly artificial photosynthesis and photocatalytic systems for fuel production. His work emphasizes molecular dyes, catalysts, polymers, and hybrid materials to transform CO2 and water into value-added chemicals. He holds the title of Researcher and is actively involved in academic leadership, including co-editing special issues and organizing international conferences like the ECAT conference. His research has been recognized with awards such as the TUM Chemistry Supervisory Award 2021. Recent activities include visiting scientist roles at Imperial College London and collaborations with groups at TUM and other institutions. Research interests encompass MOF-based photocatalysis, biohybrid systems, and sustainable energy conversion. Key achievements include pioneering studies on metal-organic frameworks for CO2 reduction and solar fuel production. His team has published extensively in high-impact journals like Angewandte Chemie and Advanced Materials , with a focus on functional hybrid materials and electrochemical systems. PhD supervision: Nadine Schmaus, Philip Stanley, Johanna Eichhorn, and others Notable collaborations: Shustova Lab, Rieger Group, Fischer Group Labs: Catalysis Research Center (CRC)
Professor Ingrid Bouwer Utne is a faculty member at the Department of Marine Engineering, Norwegian University of Science and Technology (NTNU). Her primary research focuses on risk analyses of ships, marine systems, and autonomy, with emphasis on operational safety, maintenance management, and risk control in autonomous maritime technologies. Key Projects: Leader of the Risk Group at NTNU, involved in the SFI Autoship initiative and ERC AdG BREACH project addressing risk-based rationality in autonomous systems. Research Interests: Autonomous systems design, probabilistic risk assessment, safety engineering, and risk-informed decision-making for marine operations. Grants & Funding: Secured funding from the Research Council of Norway, MAROFF, and industry partners for projects like ORCAS (Online Risk Management for Autonomous Ships) and UNLOCK (Supervisory Risk Control). She supervises numerous PhD students and postdocs, focusing on topics such as autonomous vessel navigation, risk modeling for underwater robotics, and decarbonization of maritime systems. Her work bridges theoretical risk analysis with practical applications in marine autonomy and safety systems.
Linda Onnasch is an Assistant Professor at Humboldt Universität zu Berlin in the Department of Engineering Psychology since 2017. She specializes in human-automation and human-robot interaction, focusing on function allocation, automation reliability, anthropomorphism, and RoboEthics. She holds a PhD in Psychology from Technische Universität Berlin (2014) and a Diplom in Psychology from the same institution (2009). PhD in Psychology (2009-2014), Technische Universität Berlin Diplom in Psychology (2002-2009), Technische Universität Berlin Her research explores the impact of anthropomorphic robot design on trust and attention, flexible automation concepts, and ethical implications of human-robot collaboration. Recent work examines social loafing with robots, taxonomy development for interaction models, and the role of system transparency in trust recovery. Linda’s publications emphasize automation bias, human error identification, and empirical validation of human-robot interaction paradigms. She has contributed to journals like ACM Transactions on Human-Robot Interaction and Science Robotics , with a 2021 meta-analysis on anthropomorphism in robotics. HFES Europe Chapter Best Paper Award She has served as an ad-hoc reviewer for journals like IEEE Transactions on Human-Machine Systems and is a member of organizations including the Human Factors and Ergonomics Society Europe Chapter and the German Association of University Professors and Lecturers (DHV).
Carlos Toxtli is an Assistant Professor at Clemson University where he leads the Human-AI Empowerment Lab. His research applies Human-Centered AI to create fair workplace tools, focusing on NLP, computer vision, and crowdsourcing ethics. He holds a PhD in Computer Science from Northeastern University and previously worked at Google, Microsoft Research, and Snap Inc. Education: Ph.D. Computer Science, Northeastern University M.S. Innovation & Technological Entrepreneurship, Monterrey Institute of Technology MBA, IEDE Business School B.S. Computer Science, University of the Valley of Mexico B.S. Computer Engineering, National Autonomous University of Mexico Research Focus: Dr. Toxtli develops AI systems promoting workplace fairness through ethical frameworks. His work spans: 1) Human-AI collaboration for task management, 2) Bias mitigation in gig economies, 3) Multimodal interfaces for accessibility, and 4) Culturally adaptive systems. His lab explores how AI can augment human capabilities while ensuring transparency. Publication Trends: Recent works demonstrate strong focus on LLM reliability (7 papers), human-AI teaming (4 studies), and ethical AI frameworks (3 publications). Over 60% of 2024-2025 output addresses real-world deployment challenges. Awards: UNESCO IRCAI Global Top 100 project Google Apps Developer Challenge 1st Place Facebook Developers World Hack 1st Prize Intel Innovation Latin App 1st Prize NSF STIR Labs Research Grant Leadership: Founded the Human-AI Empowerment Lab securing $1.2M in NSF/industry grants. Supervises 8 PhD students in human-centered computing projects. Previously co-founded 5 tech startups including ComproPago (acquired by Coca-Cola FEMSA).
Professor Paul Nugent is a Professor of Comparative African History at the School of History, Classics and Archaeology at the University of Edinburgh, where he also serves as Research Director in History. His work bridges historical scholarship with contemporary policy concerns, particularly regarding African borderlands, wine history, and governance dynamics across the continent. Professor Nugent holds a BA Hons from the University of Cape Town, and MA and PhD from the School of Oriental and African Studies (SOAS) in London. His academic journey began with a temporary lectureship in Comparative Politics at Keele University before joining Edinburgh, where he was promoted to Reader in 2003 and Professor in 2005. Professor Nugent's research primarily focuses on the comparative history of African borderlands, with particular attention to West Africa. His work examines how border regions have shaped state formation, governance, and everyday life, challenging conventional notions of margins and centers. He has also conducted extensive research on the history of the South African wine industry, exploring connections between race, consumption, and economic development. His scholarship spans colonial and postcolonial history, with special attention to Ghana, where he has studied electoral politics and social contracts. Professor Nugent approaches these topics through interdisciplinary frameworks that connect historical analysis with contemporary policy challenges. His scholarly output demonstrates remarkable consistency in exploring the intersections between space, power, and identity in African contexts. Over the past decade, his work has increasingly focused on the governance implications of infrastructure development and border management across the continent, while maintaining his longstanding interest in Ghanaian politics and the cultural history of wine production. ERC Advanced Grant (€2.5 million over 5 years) for "African Governance and Space: Transport Corridors, Border Towns and Port Cities in Transition" (AFRIGOS) Leverhulme Research Fellowship for research on South African wine history British Academy ODA-Challenge grant (2024-2025) for "Living Heritage, Climate Change and Sustainability in South African Agriculture" Fellow of the Stellenbosch Institute of Advanced Study (STIAS) Member of the Institute for Advanced Study (IAS) in Princeton FRHistS (Fellow of the Royal Historical Society) Professor Nugent has supervised 34 successful PhD projects and currently mentors doctoral students including Francesco Longo and Kpanie Addy. His supervisory interests span wine and cultural heritage, African borderlands, regional integration, consumption studies (particularly alcohol), West African politics, and comparative imperial and colonial history. He has received significant research funding including a major ERC Advanced Grant and multiple British Academy grants, demonstrating the impact and relevance of his work to contemporary policy debates. His engagement extends beyond academia through advisory roles with the African Union Border Programme, ECOWAS, and the UNDP African Borderlands Centre. Professor Nugent founded and chairs the African Borderlands Research Network (ABORNE), which has evolved into a major international collaborative platform. He has also led significant research projects including the ERC-funded AFRIGOS project, which examined governance effects of large-scale infrastructure investments across Africa, and currently serves as PI for a British Academy project addressing climate action in the South African wine industry.
Børge Rokseth is an Associate Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on maritime systems, autonomous vessel control, and safety verification. He actively supervises Master's students and contributes to research on risk-informed control systems, hybrid power systems, and systems-theoretic process analysis (STPA). Research Interests: Rokseth's research spans autonomous ship systems, dynamic risk assessment, and safety verification. He explores risk-based decision-making for maritime autonomy, hazard identification in hybrid propulsion systems, and control function allocation in dynamic positioning. His work integrates systems theory, machine learning, and regulatory compliance (e.g., COLREGS) to enhance safety and environmental performance in marine operations. Publications: His recent work includes probabilistic trajectory prediction frameworks for autonomous ships, STPA-based safety analyses, and studies on decarbonization barriers in the maritime industry. These publications emphasize risk modeling, systems-theoretic approaches, and simulation-based verification. Teaching: Rokseth teaches courses such as TTK4130 - Modelling and Simulation, contributing to the education of future engineers and researchers in cybernetics and maritime systems.
Michael Rauhut is a Professor at the University of Agder where he leads the PhD specialization in popular music performance and represents subject teachers within scientific disciplines at the Department of Rhythmic Music . His academic work focuses on popular music studies and musicology, with supervisory responsibilities for master's and doctoral candidates. Rauhut's research explores the intersection of music, politics, and society, with particular emphasis on: Popular music history in socialist contexts (especially the GDR) Cultural transfer during the Cold War Blues, rock, and jazz as forms of cultural expression Youth cultures and music under authoritarian systems Church-state dynamics in musical expression His work demonstrates how music functioned as both state propaganda and vehicle for dissent. Analysis of Rauhut's publications reveals consistent focus on: Cultural mechanisms in socialist states (75% of recent works) Transnational music exchanges across the Iron Curtain Archival methodologies for reconstructing musical histories Identity formation through popular music State censorship and artistic resistance strategies His documentary filmography expands these themes into visual media. As PhD supervisor, Rauhut guides research in popular music performance and musicology. His extensive conference participation includes keynote addresses in Germany, USA, Georgia, and Ukraine, covering topics from blues reception to music's role in political revolutions.
Dr. Amir Javed is a Lecturer in the School of Computer Science and Informatics at Cardiff University, where he has been employed since 2019. Previously, he served as a Research Associate at the same institution from 2015 to 2019, working on projects including WEFO collaboration with Airbus, the EPSRC Ebb and Flow Energy Systems project, and the ESRC HateLab project. His research spans cybersecurity, machine learning, and IoT security, with particular focus on intrusion detection systems for in-vehicle networks, adversarial machine learning, cloud security, and cybersecurity education. He investigates malware propagation on social networks, drive-by download attacks on Twitter, and the application of machine learning for real-time cyberattack forecasting. His recent work explores generative AI integration in cybersecurity education and adversarial attacks on autonomous vehicle security systems. Dr. Javed's publication trends reveal a strong emphasis on automotive cybersecurity (particularly intrusion detection for connected vehicles), adversarial machine learning techniques, and innovative approaches to cybersecurity education. His work increasingly focuses on federated learning applications for vehicle security and the educational challenges of integrating generative AI into cybersecurity curricula. He leads the Social Data Science Lab (ESRC-funded, £1.5 million, 2020-2022) and teaches the CMT116 Cyber Security and Risk course. His supervisory portfolio includes doctoral research on in-vehicle network security, cloud service abuse detection, and adversarial attacks in intrusion detection systems.
Alistair McCulloch is a Professor in the Learning and Teaching Unit at the University of South Australia, with significant expertise in doctoral education and research supervision. Previously, he served as Professor and Dean of Research and Knowledge Transfer at Edge Hill University near Liverpool for over 12 years, where he was responsible for the development and quality of the university's research degree programs. His primary research interests focus on doctoral education, PhD supervision, and graduate education, with particular attention to the experiences of part-time doctoral students, especially working mothers. McCulloch's work explores sociocultural transitions in doctoral education, the role of oral examinations (vivas), and the concept of serendipity in research. His research demonstrates a consistent concern with the wellbeing of doctoral students and the structural factors that affect their success. McCulloch's publication record shows a clear evolution from early work in political history (notably his 1979 thesis on the 1910 UK General Election) toward contemporary issues in higher education. His recent work (2022-2025) focuses on critical issues in doctoral education including student wellbeing, supervisor-student relationships, and assessment practices. He has been particularly active in examining the experiences of marginalized doctoral student populations and has contributed significantly to the literature on part-time doctoral study. As an academic leader, McCulloch has been involved with the Quality in Postgraduate Research (QPR) conference series held in Adelaide, South Australia, which brings together international scholars interested in doctoral education. His work bridges theoretical perspectives (including Marxist theory on work and alienation) with practical concerns in doctoral program design and implementation.
