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Jonathan LusthausView profile

Associate Professor

• Cybercrime
• Cybersecurity
• Organized Crime
• +3 more

Dr. Jonathan Lusthaus is an Associate Professor in Global Sociology at the University of Oxford, with a joint appointment in the Department of Sociology and the Oxford School of Global and Area Studies. He directs the Human Cybercriminal Project and serves as a Governing Body Member of St Antony's College. His research focuses on the socio-economic dimensions of profit-driven cybercrime, exploring criminal organizations, market structures, and geographic hotspots. He holds a doctorate in sociology from Oxford as a Clarendon Scholar. Education: PhD in Sociology (University of Oxford, Clarendon Scholar),硕士 and bachelor's degrees not explicitly stated but implied through doctoral status. Research Interests: Cybercrime's human dimensions, socio-economic foundations of cybercriminal industries, organizational structures of illicit groups, and policy interventions. His landmark book Industry of Anonymity (Harvard UP) details a seven-year global investigation involving 250 interviews with cybercriminals, law enforcement, and industry experts. Current projects include analyzing cybercrime market economics and the offline-local dimensions of digital crime. Teaching: Convenes core methods courses on Research Design and the Sociology of Cybersecurity, cross-listed with the MPhil in Global and Area Studies. Supervises DPhil students in cybercrime, cybersecurity, organized crime, and technology sociology, emphasizing qualitative methods and fieldwork in global hotspots. Awards: Clarendon Scholarship (University of Oxford). Publications: Over 20 peer-reviewed articles and book chapters on cybercrime networks, market dynamics, and policy solutions. Key projects include the World Cybercrime Index mapping global threats and experimental studies on disrupting illicit markets. Engagement: Regular speaker at major conferences (Black Hat, Enigma), advisor to law enforcement and tech companies, and founder of the Industry of Anonymity newsletter for cybercrime analysis.

Chris ArrellView profile

Associate Professor

• Composition
• Music Theory
• Sound Synthesis
• +3 more

Chris Arrell is an Associate Professor of Music and Director of the Laptop Ensemble Federation (H-CLEF) at the College of the Holy Cross. His expertise spans composition, music theory, sound synthesis, and computer music. He founded H-CLEF in 2015, fostering experimental music performance through technology. Education: D.M.A. in Music from Cornell University. Research focuses on blending acoustic and electronic elements, with works commissioned by institutions like the Fromm Foundation and Alte Schmiede. Notable honors include the Ettelson Composer’s Award and residencies at MacDowell Colony. Key works include Diptych (prepared piano duo), Breathless (piano trio), and Of Three Minds (soprano/piano/computer). His music frequently explores algorithmic processes and live electronics. Awards and recognition highlight his contributions to contemporary music, including commissions from NEXTET and the Pellegrini Festival. His collaborations, such as Walking in Altamira , reflect interdisciplinary innovation supported by the Ditson Foundation.

Silvia MilanoView profile

Senior Lecturer

• AI Ethics
• Epistemology of AI
• Recommender Systems
• +2 more

Silvia Milano is a Senior Lecturer in Philosophy at the University of Exeter and Humboldt Fellow at the Munich Centre for Mathematical Philosophy. Her research examines ethical and epistemological challenges in artificial intelligence systems, with particular focus on recommender systems and algorithmic governance. Key research themes: Ethical frameworks for recommendation algorithms Epistemic justice in digital environments Impacts of LLMs on education and knowledge She holds a Humboldt Fellowship and previously researched at Oxford's Future of Humanity Institute.

Mariateresa MaggiolinoView profile

Associate Professor

• Antitrust law
• Banking Law
• Data Law
• +1 more

Mariateresa Maggiolino is an Associate Professor of Commercial Law at Bocconi University, specializing in antitrust, banking, data, and intellectual property law. She teaches core courses including Antitrust Law, Data Law, and IP Law, with a focus on contemporary legal challenges in digital markets and financial regulation. Her academic credentials include: LLM in Comparative Law from Iowa School of Law (2007) Law Degree from Università degli Studi di Milano (2006) Degree in Economics and Social Sciences from Bocconi University (2001) Maggiolino's research critically examines intersections between law and technology, particularly how antitrust frameworks adapt to digital disruption. Her work analyzes big data's impact on competition, banking regulation during crises like COVID-19, and information manipulation in markets. She emphasizes practical regulatory responses to non-performing loans and granular pricing strategies. Her publication trends reveal escalating focus on data governance within competition law, with increasing attention to algorithmic markets, platform power, and privacy-competition tensions. Recent work engages European regulatory developments through high-impact journals like World Competition and Columbia Journal of European Law. No scientific awards or major grants are listed in her profile. Her teaching responsibilities indicate active student mentorship across specialized law courses, though no formal PhD advisees are disclosed. Collaborative publications suggest scholarly networks but no dedicated labs or research teams are mentioned.

Pierre RenaudView profile

Professor

• Medical and Surgical Robotics
• Robotics
• Mechatronics
• +5 more

Pierre Renaud is a Professor at INSA Strasbourg and Deputy Director of the ICube laboratory, specializing in Medical and Surgical Robotics, Mechatronics, and Additive Manufacturing. His research focuses on developing advanced robotic systems for healthcare applications, including surgical robots, compliant mechanisms, and MRI-compatible devices. He leads projects such as SPIRIT (multi-material additive manufacturing for medical robotics) and contributes to national initiatives like TIRREX and LABEX CAMI. Education: PhD in Mechanics from Université Clermont-Auvergne (2003), M.Sc. from ENS Cachan (1998), and Agrégation in Mechanical Engineering (1999). Visiting Associate Professor at Stanford University (2010–2011) as a Fulbright Fellow. Research Themes: Mechatronics for medical robotics, compliant systems, additive manufacturing integration, and tensegrity-based robots. Collaborates with IHU Strasbourg for surgical technology development and Axilum Robotics for industrial applications. Key Projects: Robotic assistance for interventional radiology, magnetic elastography, and beating heart surgery. Active in international collaborations (e.g., ANR, H2020 ITN ATLAS). Labs/Teams: Head of the Robotics, Data Science, and Healthcare Technologies group at ICube. Engaged in Equipex IRIS and ROBOTEX platforms for robotic innovation.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +7 more

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

Tarunraj SinghView profile

Professor

• Target tracking
• Human-vehicle control
• Optimal control
• +7 more

Tarunraj Singh is a Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on control systems, robotics, and dynamics, with emphasis on target tracking, optimal control, and vibration mitigation in complex systems. He holds a PhD from the University of Waterloo (1991) and earlier degrees from Indian educational institutions. His work integrates advanced mathematical techniques like polynomial chaos expansions and differential flatness with practical applications in aerospace, robotics, and biomedical engineering. Education : PhD, Mechanical Engineering, University of Waterloo, 1991 ME, Mechanical Engineering, Indian Institute of Science, 1988 BE, Mechanical Engineering, Bangalore University, 1986 Research Interests : Dr. Singh specializes in developing robust control strategies for nonlinear systems, with notable contributions to: Reference shaping for precision motion control Uncertainty quantification in dynamical systems Vibration suppression in robotic systems Bioengineering applications including blood glucose control for diabetics Space systems and tethered satellite dynamics His lab focuses on bridging theoretical advancements with real-world implementation through experiments involving UAVs, robotic manipulators, and biomedical devices. Research Trends : Recent work emphasizes energy-efficient trajectory planning, probabilistic control under uncertainty, and real-time sensor integration. His publications (2020–2025) consistently address challenges in optimal control with practical applications across robotics, aerospace, and biomedical systems. Lab Activities : Directs the Control, Dynamics and Estimation Laboratory, which develops novel algorithms for motion control, system identification, and safety-critical applications. Current projects include UAV payload stabilization, autonomous vehicle navigation, and smart agricultural robotics.

Silvia ToluView profile

Associate Professor

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +3 more

Silvia Tolu is an Associate Professor at the Technical University of Denmark's Department of Electrical and Photonics Engineering, specializing in Neurorobotics. She leads the NeuroRobotics Technology Lab (NRT-LAB), focusing on bio-mimetic control architectures for compliant robotic systems. Her research integrates neuroscience, computer science, and biology to develop solutions for assistive robotics and neurodegenerative disease diagnosis. Her research interests span: Neuro-robotics and neuromorphic engineering Bio-inspired control systems and adaptive motor control Machine learning for robotic applications Human-robot compliant interaction Cerebellar control models Publications primarily focus on neurorobotics, bio-inspired control, and human-robot interaction, with recent advances in learning-based control systems for soft robots and aerial manipulation. Awards include the AEG Elektrofonden Research Grant and funding for human-robot interaction safety research. Current projects include LOCOPD (Lundbeck Foundation), AEROTRAIN (EU Marie Curie ITN), and compliant human-robot interaction systems. She supervises multiple PhD students in neurorobotics and maintains international collaborations across Europe and Asia. Laboratory resources include advanced robotic platforms for musculoskeletal and soft robot control.

Jiong TangView profile

Professor

• System Dynamics
• Control
• Sensing and Automation
• +7 more

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

Nicolas CerfView profile

Professor

• Quantum Information Science
• Quantum Cryptography
• Quantum Computation
• +3 more

Nicolas Cerf is a Full Professor at the Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles (ULB), where he heads the Centre for Quantum Information and Communication (QuIC). He has been a faculty member at ULB since 1998, initially as an associate professor and promoted to full professor in 2009. Cerf maintains visiting appointments at Caltech, MIT, and the University of Arizona, demonstrating his international standing in the quantum information community. His educational background includes a M.Eng. in Electronics and Telecommunication (1987), M.Sc. in Physics (1988), and Ph.D. in Physics (1993), all from ULB. After his PhD, he was awarded a Marie Curie fellowship and worked at the University of Paris XI, followed by research faculty positions at Caltech before returning to ULB. Nicolas Cerf's research focuses on quantum information science, with significant contributions including the discovery of the role of negative (conditional) entropies in quantum information theory, development of continuous-variable quantum cloning and cryptographic protocols, invention of the adiabatic quantum search algorithm, and establishing the fundamental quantum limit on information transmission via Gaussian bosonic channels. His work spans quantum information theory, quantum cryptography, quantum computation, quantum optics, and quantum foundations. His recent publications (2023-2025) demonstrate continued innovation in quantum information processing, particularly in boson sampling validation, Wigner entropy theory, majorization applications, and quantum channel capacities. These works show a consistent focus on both theoretical foundations and practical applications of quantum information principles. Marie Curie Excellence Award (2006) Caltech President's Fund award (1997) Alcatel-Bell scientific prize (1999) Prize of the Wernaers fund awarded by the Belgian National Fund for Scientific Research (FNRS) (2000) Elected member of the Royal Academies for Science and the Arts of Belgium (2009) COVAQIAL project nominee for 2007 Descartes Prize Nicolas Cerf has supervised numerous PhD students including Sofyan Iblisdir, Jérémie Roland, Gilles Van Assche, and many others. He has hosted many postdocs and senior scientists. His research has been supported by numerous European projects across multiple Framework Programs, including EQUIP, CHIC, RESQ, SECOQC, COVAQIAL, QAP, COMPAS, HIPERCOM, QALGO, QUCHIP, ShoQC, and AppQInfo. As head of QuIC, Cerf leads a research team exploring cutting-edge topics in quantum information. The group maintains strong international collaborations and has been instrumental in establishing Belgium as a significant player in quantum information research. The team's work bridges theoretical developments with potential applications in quantum communication, quantum computing, and quantum cryptography.

J.M. FloryanView profile

Professor

• Fluid Mechanics
• Hydrodynamic Stability
• Spectral Methods
• +7 more

J.M. Floryan is a Professor in the Department of Mechanical and Materials Engineering at Western University. He holds a Ph.D. from Virginia Tech (1980) and completed postdoctoral work at Northwestern University (1981). His research focuses on fluid mechanics , particularly flow manipulation strategies using surface roughness, heating patterns, and boundary conditions, with applications across laminar-turbulent transition, microchannel transport, and turbulent structures. Education : M.Sc. (Warsaw Technical University, 1974), Ph.D. (Virginia Tech, 1980), Postdoctoral (Northwestern University, 1981) His research interests span hydrodynamic stability, spectral methods, immersed boundary conditions, natural/forced convection, and biomedical flows. Methodologies include spectral algorithms for moving boundary problems and stability analysis of spatially modulated systems. Recent work emphasizes flow control via grooves and heating , drag reduction, and energy-efficient fluid systems. The 15 most recent publications (2022-2020) explore thermally-induced streaks, wall vibration effects, wavenumber lock-in, droplet impact physics, and peristaltic pumping. These studies employ direct numerical simulations , spectral accuracy, and experimental validation, with keywords covering hydrodynamic stability , drag reduction , buoyancy convection , and microfluidics . Scientific accolades include Fellowships from the American Physical Society , ASME , and Canadian Academy of Engineering , alongside the Humboldt Research Prize and Canada Research Chair . He has held visiting appointments at institutions like Technion (Israel), Tokyo Metropolitan University (Japan), and Darmstadt Technical University (Germany). Teaching includes graduate courses on Hydrodynamics Stability , Computational Fluid Mechanics , and seminars on Heat Transfer . He advises PhD/Master’s students like Y. Wang and S. Shadman. Professional roles include President of the Canadian Society for Mechanical Engineering and leadership in international mechanics symposia.

• Drone Autonomy
• Drone-Based Remote Sensing
• Aerospace Engineering
• +7 more

Dr. Fernando Vanegas Alvarez is a Lecturer at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy, UAV navigation in GNSS-denied environments, and AI-assisted remote sensing. Education: M.Sc. in Electrical Engineering, Halmstad University PhD in Aerial Robotics, QUT Research Interests: Dr. Vanegas' work emphasizes motion planning for UAV exploration , POMDP , SLAM , Visual Odometry , and AI-driven remote sensing applications . His projects include UAV frameworks for planetary exploration, invasive species mapping, and multi-UAV coordination in challenging environments. Scientific Awards: Advanced Queensland Industry Research Fellowship Grant (2024) Supervision & Grants: Dr. Vanegas has supervised three postgraduate students, including topics like planetary exploration UAV systems and multi-agent UAV search algorithms. He actively accepts new students for Honours, Masters, and PhD programs. His research is supported by grants and collaborations with the QUT Centre for Robotics. Teams & Affiliations: He is a core member of the QUT Centre for Robotics and contributes to the School of Electrical Engineering & Robotics. His work bridges robotics, AI, and environmental science.

• Algorithms and Computational Theory
• Robotics
• Artificial Intelligence
• +4 more

Prof. Dr. Sanem Sariel Uzer is a Professor at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering within the Faculty of Computer and Informatics. He holds a PhD in Computer Engineering from ITU and has been teaching since 2007, specializing in Artificial Intelligence, Robotics, and Algorithms. He leads the ITU Artificial Intelligence and Robotics Laboratory and coordinates the Game and Interaction Technologies Master's Program. Education: B.Sc. in Control and Computer Engineering (1995-1999), M.Sc. and Ph.D. in Computer Engineering (1999-2007), all from ITU. He conducted research at Georgia Institute of Technology (2004-2006) and served as a visiting researcher at the University of South Florida (2008) and University of Pennsylvania (2011). Research focuses on cognitive robotics, multi-robot team strategies, lifelong learning for robots, and reinforcement learning applications. His work includes developing open-source robot vision systems and safety-critical manipulation techniques. He has led TUBITAK projects on artificial learning methods and humanoid robotics. Awards include TÜBİTAK's 2018 Technology Award for collaborative robotics software and multiple project performance recognitions. He is an active member of IEEE, AAAI, and RoboCup's executive board, co-founding Turkey's Robotics Conference (ToRK). Advising over 30 graduate students, his lab has contributed to RoboCup competitions and developed systems for robot vision and environment modeling. Current projects explore deep reinforcement learning for daily task automation in humanoid robots.

Neil JohnsonView profile

Professor

• Complex Systems
• Many-Body Physics
• Online Social Networks
• +4 more

Neil Johnson is a Professor of Physics at George Washington University, leading a Complexity and Data Science initiative. His research focuses on complex systems, online networks, and quantum information processing, with applications to social media dynamics, conflict analysis, and financial markets. He holds a BA/MA from St. John's College, Cambridge, and a PhD from Harvard University as a Kennedy Scholar. He has been a Research Fellow at the University of Cambridge, a Professor at the University of Oxford (1992–2007), and later at the University of Miami before joining GW in 2018. Johnson is an APS Fellow and recipient of the 2018 Burton Award. His work spans theoretical physics, computational social science, and interdisciplinary research through initiatives like CABDyN (Complexity Science) and the Oxford Centre for Financial Complexity (OCCF). He has authored over 300 papers, supervised 25+ PhD students, and written books such as Financial Market Complexity and Simply Complexity . His current lab, the Dynamics Online Networks Lab, explores collective behavior in digital ecosystems, including AI-driven misinformation and hate networks. Key research areas include modeling conflict dynamics, predicting social media trends, and analyzing extremisim's online ecology. His recent work addresses AI governance, technosocial systems, and the interplay between online and offline human behavior.

Ewa Plonowska ZiarekView profile

Professor

• Feminist theory
• Modernism
• Continental philosophy
• +5 more

Ewa Plonowska Ziarek is a Julian Park Professor in the Department of Comparative Literature at the University at Buffalo, State University of New York. Her research bridges feminist theory , continental philosophy , and critical theory , focusing on the intersections of aesthetics, ethics, and democratic politics. She has held this position within the College of Arts and Sciences since 1989. Education: PhD in Philosophy, University at Buffalo (1989) MA in Philosophy, University at Buffalo (1988) Research Focus: Feminist aesthetics and political resistance Continental philosophy (particularly Arendt, Kristeva, and Levinas) Biopolitics and digital capitalism critique Intersectional analysis of race, gender, and technology Modernist literature and cultural theory Publication Trends: Her recent work addresses urgent contemporary issues through continental philosophy, including: 2025 analyses of deconstruction in political critique; 2024 studies of AI ethics; 2022 ontological critiques of big data; and 2020 intersectional examinations of pandemics, racial violence, and digital capitalism.