Find Academic Supervisors

• Multi-Agent Systems
• Distributed Optimization
• Network Control
• +1 more

Guodong Shi is Associate Professor at the University of Sydney's Australian Centre for Robotics, heading the Centre for Robotics and Intelligent Systems. His research develops theoretical frameworks for multi-agent coordination, distributed optimization, and networked control systems. Current projects investigate collective decision-making under information constraints, privacy-preserving optimization, and game-theoretic formulations for social and robotic networks. His group develops algorithms for distributed solution of linear equations, Boolean networks, and equilibrium seeking. Doctoral supervision includes projects on acrobatic legged robots, reinforcement learning for robotic stability, and safe control under dynamic environments. Laboratory capabilities support theoretical and experimental validation. Research has applications in autonomous swarm robotics, smart grid optimization, and social network analysis. Teaching includes graduate courses on networked systems and optimization.

• Immersive systems (VR, AR, MR, XR)
• Human-AI interaction and intelligent user interfaces
• HCI theory and methodology
• +3 more

Professor Eduardo Velloso is an academic staff member at the School of Computer Science , University of Sydney . He is a member of the Centre for AI Trust and Governance and holds a PhD in Computer Science from Lancaster University and a Bachelor of Computer Engineering from Pontifical Catholic University of Rio de Janeiro. Teaches COMP4447/5047 - Pervasive Computing and INFO1111 - Computing Professionalism Research Interests focus on distributed collaboration in mixed reality , human-AI interaction , and HCI theory and methodology . His work integrates Engineering, Design, and Psychology to explore gaze interaction, adaptive agents, and multimodal interfaces. Key projects include Blended Whiteboard for remote MR collaboration and GazeGrip for mobile accessibility. Publication Trends show expertise in Virtual Reality , Mixed Reality , and Human-AI Interaction , with recent work on Algorithmic Recourse and Immersive Educational Tools . Awards include ACM Best Paper Awards at CHI, UIST, TOCHI, and DIS venues. Scientific Awards 2024 ACM CHI & DIS Honorable Mentions 2022 UoM-FEIT Teaching & Learning Award 2019 UoM-CIS Excellence in Research Award 2015 ACM UIST Best Paper Award Advising includes supervision of research students Marvin, Tinghui LI, and Wendi YU in projects on asynchronous MR collaboration , situationally-induced impairments , and physical environment integration . His lab explores AI-assisted interaction and context-aware computing through projects like SpinalLog and LiftSmart .

Nilanjan BanerjeeView profile

Professor

• Mobile Computing
• Pervasive Computing
• Sensor Systems
• +6 more

Dr. Nilanjan Banerjee is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He leads the Mobile, Pervasive, and Sensor System Lab, focusing on embedded and distributed systems for mobile, pervasive, and sustainability-based computing. His research spans renewable energy-driven systems, health diagnostics, mobile usability, and experimental testbed design. He holds a Ph.D. in Computer Science from the University of Massachusetts (2009), an M.S. from the same institution (2007), and a B.Tech. (Hons) from the Indian Institute of Technology (2004). Dr. Banerjee's work emphasizes interdisciplinary innovation, including low-power wearable devices for health monitoring (e.g., RestEaZe), cybersecurity frameworks for embedded systems (e.g., CARE), and sensor-based solutions for environmental sustainability. His contributions address challenges in mobility, energy efficiency, and accessibility, such as the Presight sidewalk localization system for visually impaired riders and the Inviz gesture-recognition textile sensors. His recent publications (2018–2021) reflect a focus on health technology, cybersecurity, and sustainable systems. Notable trends include: Integration of machine learning with sensor data for medical applications (e.g., sleep analysis, infection detection) Development of lightweight security protocols for embedded devices Exploration of renewable energy solutions for mobile and sensor networks No scientific awards are explicitly listed in the provided text. His academic advising and grant activities are not detailed here, but his lab's active research suggests significant collaborative projects. The lab also pioneers educational strategies in mobile app development and inclusive faculty recruitment through peer education programs like STRIDE.

• Project Management
• Operations Management
• Retail Logistics
• +3 more

Goran Avlijaš is a researcher affiliated with Singidunum University in Belgrade, specializing in project management, operations research, and retail logistics. He holds a Doctorate in Engineering Management (2011–2016) from Singidunum University, a Master’s in Project Management (2008–2009) from the Faculty of Organizational Sciences, and a Bachelor’s in Management (2003–2007) from the same institution. His research focuses on optimizing project schedules through methods like Earned Value Management and Monte Carlo Simulation, analyzing supply chain efficiency, and exploring gig economy impacts on well-being in Balkan countries. Key research areas include: Project Management Innovation: Developing risk analysis tools (e.g., Event Chain Methodology) and applying earned value metrics to construction projects. Retail Operations: Investigating automated replenishment systems and inventory management challenges in retail environments. Social-Economic Dynamics: Studying gig economy effects on workforce well-being and regulatory impacts on entrepreneurship. His work spans 30+ peer-reviewed articles and conference papers, including contributions to Management , Sustainability , and Frontiers in Psychology . He co-authored textbooks like Project Management and Entrepreneurship for Singidunum University’s curriculum. Active in academic events such as Sinteza and FINIZ conferences, he bridges theoretical research with practical industry applications.

Laurent LessardView profile

Associate Professor

• Control Theory
• Optimization Algorithms
• Machine Learning
• +4 more

Laurent Lessard is an Associate Professor of Mechanical and Industrial Engineering at Northeastern University, with courtesy appointments in Electrical and Computer Engineering and the Khoury College of Computer Sciences. He is a core faculty member of the Institute for Experiential AI. Previously, he was at the University of Wisconsin-Madison. His research focuses on control theory, optimization algorithms, machine learning, and decentralized systems. He holds a PhD from Stanford University (2011) and completed postdocs at Lund University and Berkeley. Education: PhD in Aeronautics and Astronautics, Stanford University, 2011 MS in Aeronautics and Astronautics, Stanford University, 2005 BASc in Engineering Science (Aerospace), University of Toronto, 2003 Research Interests: Control theory, optimization algorithms, machine learning, distributed systems, and robust control. His work bridges control theory and optimization, emphasizing algorithm design and analysis with applications to AI and autonomous systems. Key Projects: Includes NSF-funded research on distributed optimization, Army-funded work on cognitive distributed sensing, and studies on algorithm equivalence and robustness. Awards: NSF CAREER Award (2018), Hugo Schuck Best Paper Award (2013), Gerald Holdridge Teaching Excellence Award (2019). Grants & Labs: Principal investigator on multiple NSF grants, including work on decentralized control and optimization. Active in the Kostas Research Institute for Homeland Security. Leads a research group with a focus on theoretical and applied control systems. Publications: Over 50 peer-reviewed articles, including foundational work on optimization algorithms and control theory. Recent work emphasizes robustness, distributed systems, and machine learning integration.

Gauthier GidelView profile

Associate Professor

• Deep Learning
• Adversarial Machine Learning
• Generative Modeling
• +5 more

Gauthier Gidel is an Associate Professor at the Department of Computer Science and Operations Research (DIRO) within the Faculty of Arts and Science at Université de Montréal, where he also holds the prestigious Canada CIFAR AI Chair position. He is a core faculty member of Mila, Quebec's AI research institute, and maintains active research collaborations with leading institutions. His academic journey includes a PhD in Computer Science under the supervision of Simon Lacoste-Julien, with internships at Sierra, ElementAI, and DeepMind during his doctoral studies. Dr. Gidel's research spans multiple critical areas in machine learning, with particular emphasis on generative modeling , adversarial machine learning , and variational inequalities for machine learning. His work explores the intersection of optimization theory and practical AI systems, focusing on challenges like LLM safety alignment, multi-agent cooperation, and robustness against adversarial attacks. He is particularly known for his contributions to understanding the theoretical foundations of generative adversarial networks through variational inequality frameworks. His recent publications reveal a strong trend toward addressing critical challenges in large language model safety and alignment, with numerous 2024-2025 papers focusing on adversarial robustness, safety evaluation methodologies, and alignment techniques for LLMs. Simultaneously, his foundational work continues in optimization theory, particularly in variational inequalities and performative prediction, demonstrating his dual focus on practical AI safety concerns and theoretical machine learning foundations. Canada CIFAR AI Chair Core member of Mila Organizer of popular NeurIPS workshops on smooth games Co-founder of the ICLR blog post track Dr. Gidel actively supervises an extensive research group with approximately 10 current graduate students and numerous alumni who have secured positions at leading institutions including Inria Lyon, Oxford, and industry research labs. His research is supported by multiple substantial grants from CRSNG, MITACS, and IVADO, including the prestigious CRSNG Discovery Grant program and MITACS Acceleration Québec projects focused on fraud detection in music streaming and conditional generation. His laboratory maintains strong connections with both academic and industry partners, fostering a collaborative environment focused on advancing AI safety and theoretical understanding.

• Tax Law
• Financial Law
• Public Finance
• +5 more

Antonia Agulló Agüero is a distinguished Professor at Pompeu Fabra University specializing in Financial and Tax Law. With a scholarly career spanning over four decades from 1980 to 2025, she has established herself as a leading authority in Spanish tax law with growing expertise in EU tax frameworks and public finance systems. Her academic contributions include 26 journal articles, 27 collaborative works, 15 books, and direction of 20 doctoral theses. Her research interests focus on Tax Law , Financial Law , and Public Finance , with particular expertise in EU Taxation, Local Government Finance, Constitutional Tax Law, and International Taxation. Her scholarly work demonstrates a clear evolution from foundational tax principles to complex contemporary issues including healthcare financing, cross-border taxation, and fiscal policy responses to economic crises. Analysis of her most recent publications (2016-2020) reveals increasing attention to healthcare financing mechanisms, EU tax harmonization challenges, and the constitutional dimensions of public spending. Her work bridges theoretical legal scholarship with practical policy applications, particularly in regional tax autonomy and fiscal federalism within Spain's autonomous communities framework. As a dedicated academic mentor, she has supervised 20 doctoral students whose research spans diverse tax law topics including international double taxation, public debt concepts, soft law in international taxation, and environmental taxation. Her students have gone on to contribute significantly to academic and professional tax discourse in Spain. Her scholarly infrastructure includes leadership in academic publications, participation in professional tax councils (notably the Barcelona Tax Council), and contributions to major tax law reforms including Spain's General Tax Law and Personal Income Tax legislation. Her work continues to influence tax policy development in Spain and EU member states.

• Pricing and Distribution Systems
• Integrated Risk Management
• Game Theoretic Models
• +3 more

WEE Kwan Eng is a Senior Lecturer of Operations Management at the Lee Kong Chian School of Business, Singapore Management University (SMU), since 2012. He holds a Ph.D. in Operations Management from Purdue University (2000), an M.S. in Management from NUS (1995), and a B.S. in Mathematics (with Honors) from NUS (1993). His research focuses on pricing strategies, supply chain risk management, game-theoretic models, and queuing systems. He has received multiple teaching honors, including the Dean’s Teaching Honor List (2005–2011). His work spans theoretical and applied operations research, with notable contributions to inventory coordination in retail networks, newsvendor model extensions, and queuing-based manufacturing systems. He has published in top journals like Operations Research Letters and IIE Transactions. Awards: Frederick N. Andrews Fellowship (1995-1997), Dissertation Fellowship (1998-1999) Research Themes: Strategic inventory policies, supply chain coordination, and optimization under uncertainty

Jonathan CantView profile

Associate Professor

• Cognitive Neuroscience
• Visual Perception
• Object-Ensemble Perception
• +6 more

Dr. Jonathan Cant is an Associate Professor at the Department of Psychology, University of Toronto Scarborough (UTSC). His research focuses on cognitive neuroscience, particularly visual perception and cognition using fMRI and behavioral techniques. Born in Hamilton, Ontario, educated at Western University (Psychology) and Harvard University (postdoctoral) Expertise: Object perception, ensemble processing, texture/shape perception, scene recognition The Cant Lab investigates high-level human visual cortex organization, with a focus on the ventral stream's role in perception. Key research includes dissociating shape and surface property processing, material properties in cognition, and object-scene interactions in neural systems. Recent publications highlight ensemble encoding of facial expressions (2025), cross-modal ensemble coding (2024), and texture-shape relationships in ventral cortex (2015). His work bridges modular/distributed cortical organization theories and explores neural substrates for 3D shape vs. material compliance. Teaching includes PSY5222 (Visual Cognitive Representation), PSYC75 (Cognitive Psychology Laboratory), and PSYC51 (Cognitive Neuroscience of Vision). The lab welcomes motivated students and researchers through direct email applications.

Loris D'AntoniView profile

Associate Professor

• Programming Languages
• Software Verification
• Program Synthesis
• +4 more

Loris D'Antoni is an Associate Professor in the Department of Computer Science and Engineering at the University of California at San Diego (UCSD) . He is also a Visiting Academic at Amazon Web Services (AWS) . His research focuses on helping people write trustworthy software through techniques in program synthesis, formal verification, and machine learning robustness. Bachelor and Master in Computer Science from University of Torino (2008, 2010) PhD in Computer Science from University of Pennsylvania (2015) His research integrates programming languages , automata theory , and formal methods to ensure software reliability. Recent work explores semantics-guided synthesis and specification-aligned LLMs , with applications in network security, machine learning fairness, and automated code repair. Key trends in his publications include program synthesis , formal verification , and trustworthy AI systems . He has contributed to tools like AutomataTutor and SemGuS , a framework for customizable synthesis problems using constrained Horn clauses. Phillip R. Certain-Gary D. Sandefur Distinguished Faculty Award NSF CAREER Award Microsoft Research Faculty Fellowship Google and Facebook Faculty Awards Best Paper Award at ICDCN 2023 Distinguished Paper Award at SBES 2021 D'Antoni actively contributes to academic community service as a committee member in PLDI , OOPSLA , POPL , and CAV . He leads the Programming Systems Group at UCSD and collaborates with SemGuS research team on synthesis frameworks.

Habeeb OlufowobiView profile

Assistant Professor

• Cyber-Physical System Security
• Embedded Systems Security
• IoT Security
• +10 more

Habeeb Olufowobi is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), where he leads the Cyber-Physical System Security Lab. He holds a PhD in Computer Science from Howard University (2019) and previously served as a Lecturer at Howard before joining UTA in 2020. His research is centered on the security and trustworthiness of embedded and distributed systems, particularly in the domains of autonomous vehicles, IoT, and healthcare AI. He investigates cybersecurity challenges at the hardware-software interface in real-time systems and develops AI/ML models that are transparent, explainable, and equitable. His interdisciplinary work integrates principles from cybersecurity, real-time systems, and machine learning. The recent publications reflect a strong trend in securing cyber-physical systems using advanced AI techniques, with emphasis on intrusion detection, secure communication (e.g., named data networking), and robustness of autonomous systems. His work frequently appears in top-tier venues such as IEEE Transactions, VehicleSec, and ICMLA. Project Management Professional (PMP), PMI (2012–Present) Member, Institute of Electrical and Electronics Engineers (IEEE) (2020–Present) Habeeb has secured significant research funding, including an NIH grant on ethical AI for Chagas disease prediction and an AIM-AHEAD grant focused on health equity. He mentors several graduate students, including Paul Agbaje and Afia Anjum, who have received awards and internships at prestigious institutions like Los Alamos National Laboratory. He teaches courses in cloud computing, embedded systems, and information security, and serves as a faculty advisor for the National Society of Black Engineers (NSBE) at UTA. His lab, the Cyber-Physical System Security Lab, focuses on developing scalable and reliable security solutions for critical infrastructure, with growing emphasis on healthcare applications and fairness in algorithmic decision-making.

Trevor J JonesView profile

Assistant Professor

• Soft Matter Mechanics
• Nonlinear Dynamics
• Mechanical Instabilities
• +12 more

Trevor J Jones is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he leads the Mechanically Intelligent Engineered Structures (MInEnS) Lab. His research integrates soft matter mechanics, nonlinear dynamics, and indigenous knowledge to develop novel technologies in soft robotics, meta-materials, and manufacturing. Education: Ph.D., Chemical Engineering, Princeton University (2023) B.S., Chemical Engineering, Vanderbilt University (2017) His research focuses on harnessing mechanical instabilities, fluid-solid interactions, and granular matter to create intelligent, adaptive materials. Inspired by natural phenomena and Ojibwe beadwork traditions (reflected in the MInEnS Lab's name from the Ojibwemowin word manidoominens ), his work spans soft robotics, deployable structures, and beadwoven metamaterials. He employs an interdisciplinary approach combining crafting, experimentation, and theoretical modeling. His recent publications (2022–2024) demonstrate a strong trend in leveraging buckling, plasticity, and fluid dynamics to achieve emergent intelligence and multifunctionality in soft engineered systems, particularly through innovative fabrication techniques like bubble casting and beadwork-inspired design. Scientific Awards: AISES Lighting the Pathway Fellow Trailblazer in Engineering Rising Star in Soft and Biological Matter Jones actively mentors graduate and undergraduate researchers, including PhD students Eddie Beck and Angela Lee, and undergraduates Eleni Georgountzos and Adela Qiu. He is currently recruiting PhD students and postdocs for projects in bead-woven materials and soft matter mechanics. The MInEnS Lab fosters a highly interdisciplinary environment that values curiosity, craftsmanship, and the integration of diverse cultural perspectives in scientific inquiry.

Joe F. KhalilView profile

Professor

• Digital Media Industries
• Arab Television Industries
• Social Movement Media
• +3 more

Joe F. Khalil is a Professor in Residence at Northwestern University in Qatar's Communication Program. His research focuses on digital media industries, Arab television, youth culture, and alternative media in the Middle East. He co-authored influential works like *The Digital Double Bind* (Oxford UP, 2024) and co-edited *The Handbook of Media and Culture in the Middle East* (2023). His interdisciplinary work bridges media industries, digital cultures, and sociopolitical dynamics. **Education**: PhD in Mass Communication from Southern Illinois University (Carbondale), MA in Telecommunications from Ohio University. **Research Interests**: Digital media transformation, Arab TV industries, youth-generated media, rap culture, and global media power structures. **Grants & Awards**: Recipient of Qatar National Research Fund grants (2015-2016), Smith Richardson Foundation grant (2008), and fellowships at institutions including LSE and SOAS. Active in IAMCR and ICA. **Teaching**: Designs courses on global media, Arab TV industries, production research, and webseries development. Mentors students in both academic and professional pathways. **Professional Experience**: Former TV executive and radio DJ, with media expertise spanning Qatar, Lebanon, Saudi Arabia, and the U.S. Regular commentator on Al Jazeera and BBC, addressing Arab media and youth issues.

• Economics
• Crime
• Education
• +4 more

Steven D. Levitt is a Professor at the University of Chicago 's Booth School of Business and director of the Becker Center on Chicago Price Theory . His work spans economics, criminology, education, and behavioral science, with a focus on empirical analysis of real-world issues. Education: BA from Harvard (1989), PhD from MIT (1994) Key Research Areas: Crime economics, educational incentives, behavioral economics, and market dynamics Scientific Awards: 2004 John Bates Clark Medal, Time Magazine's 100 Most Influential People (2006) Levitt's article portfolio includes groundbreaking studies on topics like early childhood education (CogX program), abortion's impact on crime , cheating detection algorithms , and behavioral economics in education . His work often challenges conventional wisdom through unconventional data analysis. Prior research collaborations with Roland Fryer , John List , and Chad Syverson have produced influential papers on racial disparities , real estate markets , and juvenile crime . His NBER working papers demonstrate consistent methodological rigor and innovation.

Peter HorakView profile

Associate Professor

• Nonlinear Optics
• Quantum Optics
• Photonics
• +4 more

Dr Peter Horak is an Associate Professor at the Optoelectronics Research Centre (ORC) of the University of Southampton. With expertise in theoretical and computational photonics, his research spans nonlinear optics, quantum technology, and fiber optics. He obtained his MSc in Theoretical Physics (1993) and PhD in Theoretical Quantum Optics (1997) from the University of Innsbruck, followed by postdoctoral positions in Paris and Glasgow before joining the ORC in 2001. Current roles: ORC Exam Officer Admissions Tutor, EPSRC CDT in Quantum Technology Engineering Dr Horak leads the Computational Nonlinear Optics group, focusing on theoretical and numerical modeling of photonics systems across scales—from single photons to gigawatt laser pulses. His work addresses fundamental physics and device optimization in hollow-core fibers, quantum devices, and high-harmonic generation. Recent publications highlight hollow-core fiber gas dynamics, nonlinear optical sensing, and microresonator alignment challenges. Collaborations include the UK National Quantum Technology Programme and EPSRC-funded projects like QCI3 and HiPPo. External roles: Editorial Board, Physical Review A (2017–2022) Peer reviewer for EPSRC (since 2012) and ESF (since 2017) He supervises PhD students in nonlinear and quantum optics, and teaches optical fiber and computational modeling topics.