Find Academic Supervisors

Stephen Licht is an Associate Professor of Ocean Engineering and Graduate Director at the University of Rhode Island's College of Engineering, where he directs the Robotics Laboratory for Complex Underwater Environments (R-CUE). His research focuses on developing maritime robots capable of operating in dynamic and unpredictable environments through biologically inspired propulsion, distributed pressure sensing, model-based optimal control, and compliant underwater manipulation technologies. Ph.D. in Oceanographic and Mechanical Engineering from MIT/WHOI Joint Program (2008) B.S. in Mechanical Engineering from Yale University (1998) Former Senior Research Scientist at iRobot and Senior Robotics Engineer at Vecna Robotics Current Research Affiliate with MIT Department of Mechanical Engineering Former Visiting Faculty at Libera Università di Bolzano (2019-2020) Dr. Licht's research spans marine robotics with emphasis on biologically inspired propulsion systems that provide high authority and bandwidth thrust, nonlinear attitude control for maneuvering in dynamic conditions, compliant underwater manipulation technologies, and unmanned aerial monitoring of coastal structures. His work bridges mechanical engineering principles with oceanographic applications to create more capable underwater robotic systems that can operate in complex marine environments. His recent publications demonstrate a strong trend toward soft robotics applications for deep-sea exploration, with particular focus on jamming grippers and neutrally buoyant manipulation systems. The research also shows increasing integration of additive manufacturing techniques for field-deployable solutions and computational methods for autonomous systems operating in challenging marine environments. His work spans fundamental control theory, mechanical design, and practical field applications. Dr. Licht has secured significant research funding as both Principal Investigator and Co-Principal Investigator from major organizations including the Office of Naval Research, NOAA, NSF, and various university collaborations. His grants focus on advancing unmanned underwater vehicle technology, soft robotics for deep-sea applications, and coastal monitoring systems. Active mentor to numerous graduate and undergraduate students in Ocean Engineering Successful track record of student placements at organizations including Jaia Robotics, Scripps Institution of Oceanography, FORSSEA Robotics, and government research labs Collaborates with researchers at MIT, WHOI, University of Connecticut, University of Maine, and international institutions Licht leads the R-CUE lab which develops innovative solutions for underwater robotics challenges, with particular expertise in biomimetic propulsion, soft robotics for deep-sea applications, and autonomous systems for environmental monitoring. The lab maintains strong industry connections with OceanGate Inc. and FabNewport, and engages with local educational institutions through outreach programs with Roger Williams Middle School.

• Marine Robotics
• Biologically Inspired Propulsion
• Nonlinear Attitude Control
• +5 more

Cicek Cavdar is an Associate Professor at the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology , Sweden. She leads the Intelligent Network Systems research group and specializes in Telecommunication Networks , with a focus on Beyond 5G/6G Mobile Networks , Energy Efficiency , and AI-Assisted Network Management . PhD in Computer Science (2009) from University of California, Davis and Istanbul Technical University Her research spans Cell-Free Massive MIMO , Reconfigurable Intelligent Surfaces (RIS) , UAV Communication Systems , and Green Network Technologies . She actively contributes to 6G Network Architecture and Non-Terrestrial Networks , including satellite and aerial systems. Recent publications highlight AI-driven network optimization for handover management, energy-aware resource allocation , and multi-agent reinforcement learning in complex communication environments. She teaches advanced courses in Communication Systems , Machine Learning , and Software Engineering at KTH.

• Telecommunication Networks
• Beyond 5G/6G Mobile Networks
• Edge/Cloud Computing
• +7 more

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +7 more

Moe Z. Win is the Robert R. Taylor Professor at the Massachusetts Institute of Technology (MIT), specializing in wireless communications, optical communications, and space communications systems. His research bridges theoretical and applied domains, including quantum sensing, network localization, and signal processing. B.S.E.E., Texas A&M (1987) M.S.E.E. & Ph.D., University of Southern California (1989, 1998) Recent work focuses on quantum-enhanced positioning, machine learning for localization, and next-generation (xG) non-terrestrial networks. He leads research at the Quantum neXus Laboratory (QX Lab), Wireless Information & Network Sciences Lab, and Laboratory for Information and Decision Systems. His career spans the Jet Propulsion Laboratory (1987-1995) and AT&T Research Laboratories (1998-2002). Key methodologies include soft information fusion, variational quantum sensing, and robust beam tracking for terahertz communications.

• Wireless communications
• Optical communications
• Space communications systems
• +2 more

Carey Rappaport is a Professor of Electrical and Computer Engineering at Northeastern University. He serves as deputy director of the U.S. Department of Homeland Security’s ALERT Center (Awareness and Localization of Explosive-Related Threats) and associate director of the Gordon-CenSSIS Center (Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems). His research focuses on microwave and millimeter-wave sensing technologies for homeland security and biomedical applications, including tunnel detection, airport security systems, and breast cancer diagnostics. His work on explosives detection involves standoff and portal-based millimeter-wave radar, X-ray backscatter, IR and Terahertz spectroscopy for trace detection, and electronic sensing of hidden triggers. He has emphasized balancing technological effectiveness with privacy, health, and cost considerations in security systems. His projects include developing airport scanners with improved imaging and analyzing challenges in securing "soft targets" like public events. Rappaport's research has been highlighted in media outlets such as Boston Herald, The Economist, and Northeastern University news. He has discussed technical limitations of ground-penetrating radar in tunnel detection and policy implications for international airport security measures, including the 2011 Moscow airport bombing and 2023 Gaza Metro tunnel network analysis.

• Explosives detection
• Radar systems
• Microwave imaging
• +3 more

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +5 more

Dr. Nerijus Maliukevičius serves as an Assistant Professor at Vilnius University's Institute of International Relations and Political Science, where he conducts research and teaching within the Department of Political Behavior and Institutional Studies. His expertise centers on information warfare, strategic communication, and Russian geopolitical strategies, with extensive publications analyzing disinformation campaigns targeting Baltic and European states. Maliukevičius' research interests focus on Information Warfare , Russian Studies , and Propaganda Countermeasures , examining how technological advances reshape conflict dynamics. His work investigates Kremlin influence operations across media ecosystems, emphasizing social resilience frameworks and psychological defense mechanisms against hybrid threats. Key contributions include foundational studies on Russian information geopolitics and contemporary analyses of operations like Ghostwriter that exploit digital vulnerabilities in democratic societies. His publication trajectory reveals a strategic evolution from theoretical frameworks (2002-2008) toward actionable counter-strategies, with recent work prioritizing social resilience metrics and Nordic-Baltic defense coordination. This shift reflects escalating geopolitical tensions following Crimea's annexation and Ukraine's invasion, where his analyses of Russian media tactics have gained critical policy relevance across NATO and EU institutions. Maliukevičius has secured major research funding including the IARPA-funded SAGE project (2016-2019) for geopolitical forecasting and Lithuania's national disinformation study (2021). He regularly advises governments through high-impact presentations at NATO StratCom CoE, NED forums, and Lublin Triangle initiatives, translating academic insights into operational countermeasures against active measures. As co-leader of Vilnius University's Politics of Technology Research Group and Belarus Research Group, he directs collaborative investigations into AI-driven disinformation and authoritarian influence networks. His teams develop early-warning systems for hybrid threats while training next-generation analysts through specialized courses like Information Warfare and Strategic Political Communication.

• Information Warfare
• Russian Studies
• Propaganda and Disinformation
• +4 more

Dr. Shuang (Cynthia) Cui serves as Assistant Professor of Mechanical Engineering in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas, holding a joint faculty appointment at the National Renewable Energy Laboratory (NREL). Awarded the Eugene McDermott Distinguished Professorship in 2017, she pioneers research in energy-efficient materials and systems for sustainability. Her academic foundation includes: PhD from University of California, San Diego (2018) Master of Science in Thermal Engineering from Wuhan University Bachelor of Science in Energy Systems and Power Engineering from Wuhan University Dr. Cui's research targets critical energy challenges through advanced materials innovation. She develops polymeric desiccants for building humidity control that reduce air-conditioning energy use, and novel paper-drying methods achieving 60% energy savings in manufacturing. Her work spans thermal energy storage, nanoscale heat transfer, and grid-interactive building technologies, directly addressing global energy consumption in buildings and industrial processes through intelligent materials design. Her distinguished recognition includes: Eugene McDermott Distinguished Professorship for early-career research excellence NREL President’s Award for Exceptional Performance 2024 UTD Recognition of Outstanding Achievement in Research Research funding flows from the National Science Foundation, U.S. Department of Energy, Department of Defense, and private sector partners. She mentored the student team winning DOE’s 2024-2025 JUMP into STEM competition for wood pulp-based energy-saving building materials. Her collaborative work extends through UT Dallas’ Batteries and Energy to Advance Commercialization and National Security center and the U.S. Department of Energy’s Energy Earthshot Research Centers, driving translational sustainability solutions.

• advanced thermal energy storage materials and systems
• intelligent soft materials and devices
• nanoscale heat transfer and energy conversion
• +3 more

Dr. Rosana Collepardo is a Winton Advanced Research Fellow at the Cavendish Laboratory, University of Cambridge, where she leads a research group within the Theory of Condensed Matter (TCM) Group and is also affiliated with the Biological and Soft Systems group. Her research focuses on developing multi-scale computational models to investigate chromatin nanostructure, epigenetic regulation, and biomolecular condensates, with applications in understanding genome organization and sustainable data storage. Her primary research interests include: Computational biophysics of chromatin and epigenetics Mechanisms of biomolecular condensates and phase separation Nanoscale structure of the genome and DNA accessibility Multi-scale modeling from atomistic to mesoscale Design principles for chromatin-inspired data storage Analysis of her recent publications (2023-2025) reveals a dominant focus on chromatin organization, epigenetic mechanisms, and biomolecular condensates. Key trends include the role of nucleosome spacing, linker histones, and epigenetic modifications in chromatin phase separation, alongside investigations into condensate aging, material properties, and the physical principles of phase transitions in RNA-protein systems. Her work consistently integrates computational modeling with experimental validation. Notable scientific awards include: Winton Advanced Research Fellowship ERC Starting Grant Dr. Collepardo actively mentors PhD and MPhil students, including Sivapalan Chelvaniththilan (MPhil in Physics, recipient of Gates and Winton Scholarships), Miguel Garcia Ortegon (MPhil in Scientific Computing), Stephen Farr (PhD in Computational Methods for Materials Science), Akshay Sridhar (MPhil in Scientific Computing), and Adiran Garaizar (PhD with EPSRC scholarship). Her group secures competitive funding through ERC grants and student scholarships. The Collepardo group, established in 2016 at the Maxwell Centre, Cavendish Laboratory, comprises postdoctoral researchers, PhD students, and MPhil candidates. They collaborate with experimental groups to study chromatin dynamics and biomolecular condensates using advanced computational techniques, contributing to fundamental biological understanding and potential biotechnological applications.

• Computational Biophysics
• Chromatin Structure
• Epigenetics
• +4 more

Blake Miller is an Assistant Professor of Computational Social Science in the Department of Methodology at the London School of Economics (LSE), affiliated with the Data Science Institute. Their research focuses on computational methods applied to political communication in authoritarian regimes, particularly China, and the intersection of social media with political violence and identity politics. They hold a PhD from the University of Michigan (2018) and conducted postdoctoral research at Dartmouth College. Key substantive areas include: China's surveillance-driven security state and information control mechanisms Political mobilization through moral outrage and outgroup targeting Technological adaptations in authoritarian governance Methodological expertise spans machine learning, text analysis, and fairness in AI applications. Their book project Platforms and Power examines how authoritarian states delegate censorship to private platforms. Teaching focuses on quantitative text analysis and machine learning in political contexts. Research outputs include influential work on: Censorship patterns during China's zero-COVID protests Moral-emotional triggers for violence support Evaluation of active learning algorithms for text labeling Blake's work has been featured in The Washington Post , China File , and the CSIS Pekingology Podcast. They maintain an active presence in interdisciplinary research communities.

• Computational Social Science
• Text Analysis
• Social Media Politics
• +7 more

Professor Neil Berry is a distinguished academic and researcher in the Department of Chemistry at the University of Liverpool's School of Physical Sciences. He currently serves as Head of Department (2018-2024) and has held various significant administrative roles including Director of Post Graduate Research for the School of Physical Sciences (2015-2018) and Departmental PGR Lead. His academic journey began at Exeter College, University of Oxford where he earned his MChem in Chemistry (1999) followed by a DPhil (2002) under the supervision of Professor Paul Beer. Professor Berry's research expertise spans computational chemistry with a focus on applying AI, machine learning, and molecular modeling to solve complex problems in chemistry. His work primarily centers on four key areas: medicinal chemistry (particularly antimalarial and antiparasitic drug discovery), materials chemistry (including metal-organic frameworks and supramolecular gels), reaction mechanisms, and chemoinformatics. His group adopts a rational approach to research through molecular and material design, integrating computational modeling with experimental validation through close collaborations with the Liverpool School of Tropical Medicine, University of Washington, and industry partners including GSK, Bayer, and Unilever. His publication record demonstrates a strong focus on applying computational methods to drug discovery for neglected tropical diseases and advanced materials science. Recent work shows increasing integration of machine learning techniques across all research areas, with significant contributions to antimalarial drug development, snakebite treatment, and materials science applications. His research consistently bridges computational prediction with experimental validation, demonstrating the practical impact of his work. Treasurer - Royal Society of Chemistry Chemical Information and Computer Applications Group (2021 - present) Invited committee member - Royal Society of Chemistry Chemical Information and Computer Applications Group (2015 - present) Fellow of Higher Education Academy (2012 - present) Member of Royal Society of Chemistry (2005 - present) Referee for journals including Nature Communications, Journal of Medicinal Chemistry, and Journal of Computer Aided Molecular Design As an educator, Professor Berry has supervised numerous PhD students and postdoctoral researchers, with a particular emphasis on integrating computational approaches with experimental chemistry. His teaching innovations include Chemtube3D (web-based interactive 3D simulations of organic reactions), lecture recording systems, and ChemPreLab (a pre-lab interactive tutoring system). His research group operates at the intersection of chemistry, biology, and computer science, securing substantial funding from EPSRC, MRC, Wellcome Trust, and industry partners.

• Computational Chemistry
• Artificial Intelligence in Chemistry
• Molecular Modeling
• +6 more

Robin Ras is a Professor and Head of Department at the Department of Applied Physics at Aalto University, where he leads the Soft Matter and Wetting research group. His work focuses on surface science, particularly superhydrophobic and superoleophobic materials, with applications spanning renewable energy, biomedical engineering, and agricultural science. Ras earned his Master's degree in Engineering and Technology from Catholic University of Leuven in 1999, followed by a Doctoral degree from the same institution in 2003. His academic journey has positioned him as a leading researcher in wetting phenomena and nanoscale surface engineering. His research interests center on understanding and manipulating liquid-solid interactions at micro and nanoscales. Ras's work explores how surface topography and chemistry affect wetting behavior, with particular focus on superhydrophobic surfaces, droplet dynamics, and liquid-repellent materials. His group develops innovative approaches for creating surfaces with controlled wettability for applications ranging from self-cleaning materials to advanced biomedical devices. The research trends evident in Ras's recent publications show a strong focus on precision control of liquid-solid interfaces, with increasing attention to underwater applications, molecular-scale surface engineering, and biomimetic approaches. His work bridges fundamental surface science with practical applications in energy, healthcare, and sustainability. Among his notable scientific achievements: Anton Paar Research Award for Instrumental Analytics & Characterization (2018) for Scanning Droplet Adhesion Microscopy invention Academy of Finland Research Fellow (2011-2016) ERC Consolidator Grant (2017) Ras has secured significant research funding including the ERC Consolidator Grant for the SuperRepel project (2017-2022) focused on superslippery liquid-repellent surfaces, and the Academy of Finland project 'Electric Field; an Active Method to Control Phase Change' (2019-2022). His research group actively collaborates with international institutions and industry partners to translate fundamental discoveries into practical applications. The Soft Matter and Wetting research group under Ras's leadership combines experimental and theoretical approaches to investigate surface phenomena. The team utilizes advanced imaging techniques, precision surface fabrication methods, and computational modeling to understand and engineer surfaces with tailored wetting properties. Their work has applications across multiple sectors including renewable energy, biomedical devices, and sustainable agriculture.

• Superhydrophobic surfaces
• Wetting phenomena
• Droplet dynamics
• +7 more

Chao Chen is an Associate Professor at the Department of Mechanical & Aerospace Engineering, Monash University, and Director of the Laboratory of Motion Generation and Analysis (LMGA). He holds an adjunct position as Associate Professor at the Chinese University of Hong Kong. His research focuses on medical, agricultural, and infrastructure robotics, emphasizing design, dynamics, control, and intelligence. Key innovations include the Robotic Transverse Profiler (delivered to the Australian Road Research Board in 2016), the 3D Printed Prosthetic Hand (2017 Award), and the Apple Harvesting Robot (2019 Global AI Expo). Dr. Chen has secured over $2M in lead research funding and contributed to $18M in collaborative projects, supported by ARC, Collier Charitable Fund, and International Science Linkages. His awards include the 2017 Innovation Award from the Australian Hand Therapy Association and scholarships from ASME and FQRNT. Education: PhD in Mechanical Engineering (details not explicitly stated in text) Research interests span medical robotics (surgery and rehabilitation), mobile robotics with advanced mobility, and reconfigurable mechatronic systems . LMGA’s mission is to address real-world challenges via robotic technologies, targeting healthcare, agriculture, and infrastructure sectors. Recent projects include fruit harvesting systems, drug delivery sensors, and embodied AI frameworks. Publications highlight advancements in robotic perception (e.g., LiDAR-camera fusion), control systems, and tactile-enabled grasping. His work aligns with UN Sustainable Development Goals, particularly in advancing industry innovation and infrastructure (SDG 9) and sustainable agriculture (SDG 2). Awards: 1996 Dean’s Honor List (Shanghai Jiao Tong University), 2004 ASME Scholarship, 2005 FQRNT Doctorate Scholarship Grants and collaborations include leading the ALF 1 Transverse Profiler and participating in the $18M ARC Smart Process Design Hub . Current projects address robotic fruit harvesting, hydrogel drug delivery systems, and AI-driven manipulation frameworks. Labs/Teams: Director of LMGA, collaborating internationally with institutions like IRCCyN (France), Shanghai Jiao Tong University, and Agriculture Victoria.

• Medical Robotics
• Agricultural Robotics
• Infrastructure Robotics
• +4 more

Dr. Ernestina Schipani is the William Wikoff Smith Professor of Orthopedic Surgery at the University of Pennsylvania's Perelman School of Medicine, where she leads a productive research laboratory focused on skeletal development and disease mechanisms. Her groundbreaking work has established fundamental principles in hypoxia biology and G-protein coupled receptor signaling as they relate to skeletal formation and disease processes. Dr. Schipani's educational journey includes: M.D. and Ph.D. from St. Anna School of Advanced Studies-University of Pisa, Italy Her research has transformed our understanding of skeletal development, beginning with her seminal discovery that gain-of-function mutations of PTHR1 cause Jansen disease. She pioneered the concept that hypoxia-driven pathways control skeletal development, revealing how oxygen gradients serve as regulatory signals in tissue morphogenesis. Her laboratory employs genetically modified mouse models and cutting-edge techniques including single-cell RNA sequencing and metabolomics to investigate how hypoxia, mitochondrial metabolism, and metabolic reprogramming influence skeletal development and disease. Analysis of her recent publications shows a dominant focus on hypoxia-inducible factors (particularly HIF-1 and HIF-2) in bone development, metabolism, and disease. Her work spans molecular mechanisms of skeletal formation, therapeutic approaches for bone disorders, and the intersection of mitochondrial function with skeletal health, demonstrating sustained research excellence with continuous NIH funding since 1997. Dr. Schipani's significant contributions to bone research have been recognized through: ASBMR Paula Stern Achievement Award (2019) Continuous ASBMR membership since 1992 ASCI membership since 2005 She actively mentors the next generation of bone researchers, with her laboratory members regularly presenting at major scientific conferences including the Gordon Bone & Teeth Conference and ASBMR meetings. Her NIH-funded research program includes four major focus areas: HIF-1 in endochondral bone development and somitogenesis, HIF-2 in bone mass regulation, and HIFs in soft tissue tumors and cartilage regeneration. The laboratory recently secured an NIH R01 grant to study mitochondrial respiration and growth plate biology. The Schipani Laboratory at McKay Laboratories-University of Pennsylvania maintains an active research program investigating the fundamental biological processes of skeletal development, with particular emphasis on hypoxia signaling and metabolic regulation. Current projects examine how hypoxia-inducible factors regulate bone formation and disease processes, with significant translational potential for developing new therapies for skeletal disorders including osteoporosis and skeletal dysplasias.

• Skeletal Development
• Hypoxia Biology
• Bone Metabolism
• +4 more

Florian Trauner is a Professor of Political Science and Dean of the Brussels School of Governance at Vrije Universiteit Brussel (VUB). He specializes in EU migration, asylum, and internal security policies, with a focus on governance dynamics and external policy impacts. He co-founded the VUB's Brussels Interdisciplinary Research centre on Migration and Minorities (BIRMM), uniting over 100 researchers across 11 disciplines. His work bridges academic research and policy, including ERC-funded projects on coercive EU mobility rules and EU-West African migration cooperation. Education: PhD (2008, Vienna and Copenhagen) and Habilitation (2015, Political Science). He has held visiting positions at institutions like the College of Europe (Warsaw) and University of Renmin (China). His research appears in journals like West European Politics and Journal of Ethnic and Migration Studies , addressing topics such as EU deterrence messaging, bureaucratic migration politics, and the impact of crises on asylum systems. Key projects include analyzing EU migration cooperation with West Africa and the role of supranational institutions in Justice and Home Affairs. He has advised the European Commission, Parliament, and IOM, contributing to policy debates on return policies, border management, and the rule of law. Recent media engagements address Frontex oversight, Greek pushbacks, and EU migration hubs. Teaching includes EU immigration policy at the College of Europe. Supervised student theses include analyses of EU-Turkey cooperation, economic sanctions, and China’s diplomatic strategies. His awards include the EU Consent PhD Award (2007) and recognition for special issue curation (2011).

• EU Migration Policy
• Asylum Systems
• Internal Security Policies
• +3 more