Find Academic Supervisors

Carsten StrathausenView profile

Professor

• Literary Theory
• Film Studies
• Visual Culture
• +5 more

Carsten Strathausen is a Professor of German and English at the University of Missouri's College of Arts and Science. He holds appointments in both the Departments of German and English, bridging interdisciplinary research and teaching. His work spans literary theory, visual culture, digital humanities, and bioaesthetics, with a focus on Kafka adaptations and evolutionary theory's influence on aesthetics. Research Interests: Dr. Strathausen’s interdisciplinary research explores the interplay of science, art, and media. Central themes include the word-image relationship in literature, posthumanism, and the digital humanities. His current projects include a global database analyzing Kafka adaptations (Adapting Kafka) and a monograph on Kafka’s adaptations through evolutionary and media frameworks. Earlier works like Bioaesthetics and The Look of Things established his reputation in interdisciplinary cultural studies. Teaching: In German studies, he teaches graduate seminars on 20th-century literature and Kafka. In English, he offers courses on contemporary literary theory, posthumanism, and digital humanities. He also mentors undergraduate and graduate students in digital humanities research. Collaborations: Collaborations include work with Dr. Verena Kick on the Adapting Kafka project. His research often intersects with film, visual arts, and science studies, reflecting his commitment to cross-disciplinary inquiry.

Jason D. BakosView profile

Professor

• Computer Architecture
• Reconfigurable Computing
• High-Performance Computing
• +4 more

Dr. Jason D. Bakos is a Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on high-performance domain-specific architectures, including reconfigurable computing, embedded systems, and machine learning acceleration. He has held academic positions since 2005, progressing from Assistant to Associate Professor before becoming a full Professor in 2017. Education : Ph.D., Computer Science, University of Pittsburgh (2005) B.S., Computer Science, Youngstown State University (1999) Research Interests : Dr. Bakos specializes in computer architecture at multiple levels (circuit, micro-architectural, and system) with a focus on VLSI design, reconfigurable computing, high-performance computing, and applications in embedded systems. His recent work includes FPGA acceleration of machine learning algorithms, structural health monitoring systems, and real-time signal processing. Awards : 2018 Teaching Award in Computer Science and Engineering 2009 NSF CAREER Award Multiple design competition awards for innovative chip and circuit designs Grants & Funding : He leads and co-leads projects funded by NSF, Savannah River National Laboratory, and industry partners like Texas Instruments. Recent grants focus on edge computing for real-time machine learning, FPGA-based accelerators, and corrosion analysis of nuclear materials. Labs & Teams : His research group collaborates on projects involving embedded systems, FPGA design, and interdisciplinary applications in structural engineering and bioinformatics. He advises a dynamic team of graduate students and post-doctoral researchers.

• Security and Privacy
• Active Cyber Defense
• Security Analytics
• +6 more

J. Haadi Jafarian is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he leads the Active Cyber and Infrastructure Defense (ACID) Lab. He earned his Ph.D. from the University of North Carolina Charlotte in 2017. Research Interests: Active Cyber Defense (Moving Target Defense, Cyber Deception) Big Data Analytics for Cyber Threat Intelligence Security for Cyber-Physical Systems & Critical Infrastructures Cyber Resilience and Automation Recent Publications highlight innovations in traffic obfuscation, adversarial machine learning, and deception-based threat detection. His work spans network security, cybersecurity analytics, and scalable defense frameworks. Teaching includes: CSCI 4743/5743: Cyber and Infrastructure Defense (Fall 2023) CSCI 4742/5742: Cyber Programming and Analysis (Spring 2023) CSCI 4741: Cybersecurity Principles (Spring 2022) CSCI 4800: Web Application Development (Spring 2021) CSCI 3761: Computer Networks (Spring 2020) Labs & Teams: The ACID Lab focuses on developing proactive cyber defense strategies, including moving target defense, deception techniques, and security analytics for critical infrastructure.

Andreas IglView profile

Professor

• Digital forensics and analysis
• Management information systems
• Financial supervision and auditing
• +5 more

Prof. Dr. Andreas Igl is a BDO Endowed Professor for Digital Data Analysis and Audit Support at the Faculty of Applied Computer Science at Deggendorf Institute of Technology. He holds a Dr. rer. pol. (summa cum laude) from the University of Regensburg and has extensive experience in banking supervision, risk management, and digital auditing. His research focuses on digital forensics, financial auditing, and crisis management in banking systems. Affiliations: BDO Foundation Laboratory, Deggendorf Institute of Technology Previous Roles: Lecturer at Deutsche Bundesbank's University of Applied Sciences (2017–2024), Partner at 1 PLUS i GmbH (2013–2016), Research Assistant at University of Regensburg (2009–2011) Teaching: Derivatives in Banking, Risk Management lectures and tutorials. Office hours in K-Building Room K204 on Fridays 14:00–15:00 (by appointment).

Tingkai WangView profile

Senior Lecturer

• Mobile Robots
• Intelligent Systems
• Artificial Intelligence (AI)
• +5 more

Dr. Tingkai Wang is a Senior Lecturer in the School of Computing and Digital Media at London Metropolitan University. His research focuses on mobile robots, intelligent systems, artificial intelligence, control systems, image/signal processing, and virtual reality. He teaches the Programming for Computer Science module and has led projects like the Virtual Environment and Simulation System (2000-2002) and Navigation and Control of Mobile Robots (1995-1998). His work emphasizes interdisciplinary approaches, combining expert systems, neural networks, and fuzzy logic to address challenges in autonomous systems. Notable contributions include AGV navigation algorithms, hybrid control systems, and predictive modeling. Over 30 publications span robotics, control engineering, and AI applications. He collaborates internationally and has presented at venues like the International Conference on Intelligent Systems Engineering and the IEEE Conference on Engineering in Medicine and Biology. Dr. Wang’s expertise bridges theoretical modeling and practical implementation, with applications in manufacturing automation, environmental monitoring, and industrial management systems. His current research continues exploring adaptive control mechanisms and AI-driven robotics solutions.

Yue ZhaoView profile

Associate Professor

• Smart Grid
• Renewable Energy Integration
• Electricity Market Design
• +6 more

Yue Zhao is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University, with an affiliated appointment in Applied Mathematics and Statistics. Prior to this, she held postdoctoral positions at Stanford University and Princeton University. She earned her Ph.D. from UCLA in 2011 and B.E. from Tsinghua University in 2006. Her research focuses on smart grid systems, renewable energy integration, machine learning applications in power systems, and game-theoretic approaches to electricity markets. Key areas include transportation electrification, demand response mechanisms, and cyber-physical security of grid infrastructure. She teaches courses on digital signal processing, convex optimization, and communication systems. Her work spans over 50 publications in top journals and conferences like IEEE Transactions on Power Systems and ACM e-Energy. Notable contributions include dynamic state estimation frameworks for inverter-based resources, incentive-compatible market mechanisms for renewable aggregation, and cyber attack detection methodologies. Dr. Zhao advises a research group focused on interdisciplinary challenges in energy systems. Current openings exist for Ph.D. students with strong analytical backgrounds. Sponsors include NSF, DOE, and industry collaborators.

Heather LipfordView profile

Professor

• Usable Security
• Privacy
• Human-Computer Interaction (HCI)
• +3 more

Heather Lipford is a Professor at the University of North Carolina at Charlotte (UNC Charlotte), affiliated with the College of Computing and Informatics. Her research focuses on Usable Security and Privacy , bridging Human-Computer Interaction (HCI) and cybersecurity. She explores privacy challenges in smart homes, mobile apps, and community-driven security practices. Key research areas include: Smart home access control and cross-boundary sharing User perceptions of wearable and fitness data privacy Community oversight mechanisms for digital security SMiShing susceptibility and mobile security behaviors Her work emphasizes practical solutions for everyday security challenges, such as designing apps like Mi casa es su casa and CO-OPS to facilitate secure sharing and oversight. Recent studies analyze demographic factors in phishing susceptibility and the role of extended family in mobile security management. Notable grants include the NSF-funded REU Site: Smart and Secure Future Computing and the CyberCorps® Scholarship Program. She leads the UNC Charlotte HCI/InDe Lab , which focuses on interdisciplinary security and privacy research. Her contributions span over 50 publications since 2010, addressing topics like secure programming education, vulnerability detection, and privacy in social media platforms.

John J. CurtinView profile

Professor

• Digital therapeutics
• Machine learning applications in mental health
• Addiction research
• +5 more

John J. Curtin is a Professor in the Department of Psychology at the University of Wisconsin-Madison, where he directs the Addiction Research Center. His work bridges clinical psychology, computer science, and engineering to develop innovative digital solutions for mental health and addiction treatment. Dr. Curtin's research focuses on digital therapeutics and personal sensing technologies for substance use disorders and mental illness. His laboratory develops software applications that provide evidence-based interventions, treatment management tools, and enhanced communication with care providers. He specializes in algorithm development for moment-to-moment psychiatric risk prediction and just-in-time personalized interventions that adapt to both patient characteristics and their current context. His research program is highly interdisciplinary, collaborating with the Center for Health Enhancement Systems Studies, computer science, geography, and electrical and computer engineering departments. Dr. Curtin's work combines machine learning approaches with novel data streams from geolocation, cellular communications, social media activity, and wearable biosensors to create more effective and personalized treatment approaches. Dr. Curtin has secured continuous funding from the National Institutes of Health (NIAAA, NIDA, NCI and NIMH) since 1998. His current research examines machine learning-assisted precision medicine for smoking cessation, contextualized daily prediction of lapse risk in opioid use disorder, and dynamic real-time prediction of alcohol use lapse using mobile health technologies. His laboratory has produced numerous publications advancing the field of digital mental health interventions, with a particular focus on using technology to deliver precisely tailored treatments at the right moment for individuals struggling with substance use disorders.

Asu OzdaglarView profile

Professor

• Optimization
• Machine Learning
• Game Theory
• +4 more

Asu Ozdaglar is the EECS Department Head and MathWorks Professor at MIT, serving as Deputy Dean of Academics in the MIT Schwarzman College of Computing. Her research bridges optimization theory, machine learning, and network science with societal implications, focusing on AI ethics, data-driven decision systems, and strategic interactions in networked environments. Her technical contributions include foundational work on large-scale optimization algorithms (e.g., distributed methods, first-order methods), game-theoretic models for network systems, and federated learning frameworks. Recent work addresses critical societal challenges like misinformation dynamics, data market inefficiencies, and algorithmic fairness in AI systems. Publications from 2023-2025 highlight advancements in graphon-based network game analysis, privacy-preserving data mechanisms, and multi-agent learning dynamics. She co-leads initiatives in MIT's AI+D program, emphasizing interdisciplinary education and ethical AI development. Notable institutional roles include oversight of MIT's computing education strategy and contributions to pandemic-related research on infection control through testing optimization. Her work integrates technical rigor with policy-relevant insights, influencing both academic and real-world systems.

Henrik von ColerView profile

Assistant Professor

• Music Technology
• Spatial Audio Systems
• Live Electronics
• +3 more

Henrik von Coler is an Assistant Professor at Georgia Institute of Technology's School of Music within the College of Design. His work bridges engineering, electronic music, and empirical research, focusing on spatial audio systems, live electronics, and human-computer interaction in musical contexts. He joined Georgia Tech in 2023 after serving as director of the TU Studio for Electronic Music at Technische Universität Berlin from 2015 to 2023, where he founded the Electronic Orchestra Charlottenburg (EOC) to explore live electronic ensembles in multichannel environments. His research emphasizes the integration of sound, space, and HCI to enhance compositional and performative expressiveness. Notable projects include immersive audio installations, virtual instrument design, and AI-assisted composition. Coler has performed globally on immersive audio systems and curated international concerts. His technical contributions span spatial sound synthesis algorithms, networked music systems, and real-time signal processing tools. Key areas of exploration include volumetric music performances in metaverse environments, hybrid spatial interaction via ARCube, and statistical models for spectral synthesis. He has developed open-source systems like Orchestra (for metaverse performances) and SPRAWL (for ensemble interaction). Coler’s work often combines empirical research with artistic practice, aiming to redefine the boundaries of live electronic music through technological innovation. His academic output spans over 30 peer-reviewed articles since 2011, with recent focus on metaverse applications, AI-human collaboration, and immersive audio design. While no formal awards are listed, his leadership roles and project outcomes highlight significant contributions to music technology and spatial audio engineering.

Mikolaj FirlejView profile

Lecturer

• AI Security and Safety
• Ethics and Regulation of AI
• Innovation in Defense and Intelligence Sectors
• +3 more

Mikolaj Firlej is a Lecturer in AI Law and Regulation at the University of Surrey's Surrey Institute for People-Centred Artificial Intelligence (PAI). He holds a D.Phil. and M.Phil. from the University of Oxford's Faculty of Law, an MPP from the Oxford School of Government, and degrees from the University of Warsaw. His research focuses on AI ethics, human control over autonomous systems, and defense sector innovation. He co-founded the Expeditions Fund, a dual-use venture capital firm, and serves as Director of the Law and Tech Hub. Research interests include AI security, global policy challenges for emerging technologies, and the intersection of AI with defense and intelligence sectors. His work emphasizes practical legal frameworks for regulating autonomous systems while fostering innovation. Firlej teaches AI and Law, Intellectual Property Law, and Law, AI & Technology courses. He supervises PhD students in AI security at Surrey's PAI. His publications span AI governance in defense, ethical frameworks for autonomous weapons, and regulatory approaches to complex adaptive systems. He actively engages with policy through expert testimony on UK AI defense capacity and international AI weaponization debates. Outside academia, he co-leads a family investment firm and explores geopolitics, literature, and sport.

Graeme RobertsonView profile

Professor

• Authoritarian Politics
• Political Protest
• Regime Support in Authoritarian Systems
• +3 more

Graeme Robertson is a Professor of Political Science at the University of North Carolina at Chapel Hill and Director of the Center for Slavic, Eurasian and East European Studies. His research focuses on authoritarian politics, protest dynamics, and regime stability in post-communist states, with particular emphasis on Russia and Ukraine. He earned his academic qualifications in political science, though specific details of his education are not explicitly stated in the provided texts. Robertson has authored influential books including Putin v. The People (Yale UP, 2019), Revolution and Reform in Ukraine (PONARS Eurasia), and The Politics of Protest in Hybrid Regimes (Cambridge UP). His work has appeared in top journals like the American Political Science Review and Proceedings of the National Academy of Sciences . Robertson’s research themes include the interplay between authoritarian regimes and public opinion, the role of identity in political mobilization, and the impact of external pressures on autocratic governance. His recent projects analyze Russia’s war in Ukraine, protest behaviors in hybrid regimes, and psychological underpinnings of support for authoritarian policies. As Associate Editor for Comparative Politics at the American Journal of Political Science , he contributes to advancing methodological rigor in the field. His interdisciplinary approach combines experimental methods, survey analysis, and comparative case studies to dissect complex political phenomena. Robertson leads the Center for Slavic, Eurasian and East European Studies, fostering academic exchange and research on Eastern Europe. His work frequently engages with policy-relevant issues, including authoritarian governance, conflict resolution, and democratic backsliding.

Stefano MarkidisView profile

Professor

• High-Performance Computing
• Quantum Computing
• Computational Fluid Dynamics
• +5 more

Stefano Markidis is a Professor of Computer Science at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and the Digital Futures Faculty. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and an MS from Politecnico di Torino. His research focuses on high-performance computing systems, including supercomputers and quantum computers, with expertise in plasma simulations, quantum algorithms, and scalable computational frameworks. Markidis leads the development of the Neko framework for high-fidelity computational fluid dynamics and the iPIC3D particle-in-cell code for plasma physics. He teaches courses such as Quantum Computing for Computer Scientists, High-Performance Computing, and Applied GPU Programming. His work addresses exascale computing challenges, including optimizing algorithms for GPUs, quantum systems, and distributed architectures. Key research interests include: Parallel Programming Models and HPC Frameworks Quantum Computing Applications in Scientific Simulations Physics-Informed Machine Learning Exascale System Optimization Turbulence Modeling and Plasma Dynamics His publications span over 100 articles in journals like Journal of Computational Physics and Scientific Reports , focusing on topics such as scalable CFD, quantum neural networks, and plasma simulation techniques. He has advised numerous students in these areas. Markidis collaborates with institutions like Los Alamos National Laboratory and RISE Research Institutes of Sweden through the Digital Futures initiative, aiming to solve societal challenges via digital technologies.

Simon DixonView profile

Professor

• Music Information Retrieval
• Artificial Intelligence
• Music Signal Processing
• +3 more

Simon Dixon is a Professor of Computer Science and Director of the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM CDT) at Queen Mary University of London. He also serves as Deputy Director of the Centre for Digital Music (C4DM). His work focuses on music informatics, AI, and computational musicology, with emphasis on music signal analysis, performance modeling, and MIR applications. He leads projects funded by UKRI, Innovate UK, and industry partners like Yamaha and Spotify. Dixon has supervised over 20 PhD students and contributed to major initiatives like the Jazz Digital Archives Project and the Dig that Lick study on jazz melodic patterns. His research has been recognized with awards including the Peter Claricoats Award and Turing Fellowship. Education: PhD in Computer Science, BSc(Hons) in related field, with music qualifications (AMusA LMusA) Roles: AIM CDT Director, C4DM Deputy Director, EU H2020 MIP-Frontiers PI Research: Music transcription, expressive performance analysis, MIR, and AI applications in music education Key projects include industry collaborations (e.g., Yamaha for jazz piano modeling), semantic audio analysis, and large-scale music corpus studies. His team has pioneered methods in chord detection, source separation, and alignment algorithms, with top rankings in MIREX evaluations. Publications span journals like TISMIR and ICASSP, with a focus on foundational MIR techniques and AI-driven music systems. His work bridges technical innovation with cultural heritage through projects like JazzDAP and the Dig that Lick analysis of jazz solos.

Bayu JayawardhanaView profile

Professor

• Mechatronics
• Nonlinear Control Systems
• Robotics
• +5 more

Prof. Bayu Jayawardhana is a Full Professor in Mechatronics and Control of Nonlinear Systems at the University of Groningen, affiliated with the Faculty of Science and Engineering. He leads the Jayawardhana Group focusing on opto-mechatronics and advanced nonlinear control theories. His roles include Director of Engineering and Scientific Director of the Engineering and Technology Institute Groningen. He holds editorial positions in journals like International Journal of Robust and Nonlinear Control and European Journal of Control . Education: PhD in Control and Power Group from Imperial College London (2006), M.Eng from Nanyang Technological University (2003), and B.Eng from Institut Teknologi Bandung (2000). Research interests span opto-mechatronics for high-tech systems, nonlinear control, and systems biology. Key projects include digital twins for energy optimization, control of ocean energy systems, and modeling of cryogenic actuators for telescopes. His work integrates AI and model-based methods for high-performance systems. Notable awards include the 2016 FSE Faculty Teacher of the Year Award and the Ben Feringa Impact Award (2020). He advises on ventures like Ocean Grazer B.V. and Sencilia B.V. Teaching includes graduate courses on nonlinear control, opto-mechatronics, and fitting dynamical models to data. His research labs include the Groningen Centre for Systems and Control and the Data Science and Systems Complexity Center.