Find Academic Supervisors

Dana E. GHIȚĂView profile

Lecturer

• Image Processing
• Biomedical Imaging
• Image Segmentation and Analysis
• +3 more

Lecturer Dana E. GHIȚĂ is affiliated with the Department of Electrical Engineering and Applied Physics at the Faculty of Electrical Engineering and Computer Science, Technical University of Brasov (UNITBV). Her research focuses on image processing, biomedical imaging, and advanced segmentation techniques with applications in computer vision and medical diagnostics. Research Highlights: Specializes in color and texture analysis for medical imaging, including carotid artery ultrasound segmentation. Developed algorithms like CTex (adaptive unsupervised segmentation) and TV-L1 based histogram equalization. Published in top-tier journals such as IEEE Transactions on Image Processing and Pattern Recognition. Awards & Recognition: Highly Cited Article in IEEE Transactions on Ultrasonics (2014) Top 10 Hottest Pattern Recognition Articles (2011–2013) Professional Activity: Engaged in advancing medical imaging technologies through interdisciplinary collaborations, with a focus on automated diagnostic tools and image enhancement techniques.

Jing YuanView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Theoretical Computer Science
• +4 more

Jing Yuan serves as an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas, where he directs the Robust Adaptive Learning (RAL) Lab. His research centers on theoretical foundations of artificial intelligence and machine learning, specifically developing advanced optimization techniques to enhance algorithmic performance and efficiency for building robust, adaptable AI systems capable of solving complex real-world problems across diverse domains. Dr. Yuan's primary research focuses on submodular optimization, adaptive algorithms, and fairness in AI systems. He investigates approximation algorithms for sequential decision-making under uncertainty, calibrated recommendations, and non-monotone optimization problems. His work bridges theoretical computer science with practical applications in recommender systems, social advertising, and personalized learning, emphasizing algorithmic efficiency while addressing societal concerns like equity and ethical constraints in AI deployment. Analysis of his recent publications reveals a concentrated research trajectory in adaptive submodular maximization and its extensions. The body of work demonstrates rigorous theoretical contributions in approximation guarantees while tackling practical challenges including fairness constraints, sponsored content integration, and multi-objective optimization in dynamic environments. This research has been consistently published in premier AI conferences such as AAAI, IJCAI, and AAMAS, reflecting significant impact in both theoretical and applied communities. Dr. Yuan actively mentors PhD students including Twumasi, whose research on incentivized social advertising was accepted to AAAI ICWSM 2024. He has successfully recruited and guided numerous undergraduate researchers through programs like LREU and Google CAHSI, with multiple students presenting at conferences including GMiS and University Research Days. His research is supported by a Google CAHSI Institutional Research grant for fairness-aware optimization, and he recruits new PhD students annually with full financial support. The Robust Adaptive Learning Lab at UNT has demonstrated steady growth since 2022, currently comprising multiple PhD students and a rotating cohort of undergraduate researchers. The lab maintains active collaborations with industry partners like Google and participates in the CAHSI network, focusing on developing theoretically sound AI solutions with tangible societal impact through rigorous algorithmic design and empirical validation.

Jacob GuntherView profile

Professor

• Signal Processing
• Statistical Signal Processing
• Array Processing
• +7 more

Jacob Gunther is a Professor in the Department of Electrical and Computer Engineering at Utah State University's College of Engineering. He specializes in signal processing, statistical signal processing, and communication theory, with applications in transportation systems, SAR navigation, and adaptive filtering. PhD , Electrical Engineering, Brigham Young University, 1998 MS , Electrical Engineering, Brigham Young University, 1994 BS , Electrical Engineering, Brigham Young University, 1994 Gunther's research spans signal processing for electric bus charging optimization, GPS-denied navigation using SAR, and advanced filtering techniques. His work includes hyperspectral imagery unmixing, communication systems, and sparse signal recovery. Recent publications focus on electric bus fleet charging cost minimization, SAR-based navigation, and adaptive filtering algorithms. Notable trends include integration of optimization theory with transportation electrification and robust positioning systems. Teacher of the Year (2015, 2005, 2004) IEEE Senior Member (2011) Advisor of the Year (2010, 2003) Researcher of the Year (2004) Award of Merit (2010, 2007) Gunther has mentored numerous graduate students in Electrical and Computer Engineering, including Jordan Johnson and Daniel Mortensen. His teaching includes Discrete-Time Systems and Signals and Convex Optimization , with a focus on practical signal processing applications.

Junghwan KimView profile

Professor

• Communication Systems
• Satellite Systems
• Anti-jamming Technologies
• +7 more

Junghwan Kim is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. His research focuses on advanced communication systems, including satellite architectures, wireless sensor networks, and anti-jamming technologies. He also explores physical layer encryption and digital multimedia broadcasting (DMB). His work emphasizes practical applications such as improving bit error rate (BER) in wireless systems through innovative modulation techniques like APSK-TCM and LDPC coding. Recent contributions include secure physical layer key generation for autonomous vehicles and machine learning approaches to face detection in noisy channels. Publications highlight advancements in satellite communication synchronization, cooperative localization in cellular networks, and error correction techniques for CDMA systems. His research bridges theoretical foundations with real-world challenges in telecommunications and cybersecurity.

Emanuele PaoliniView profile

Associate Professor

• Calculus of Variations
• Geometric Measure Theory
• Optimal Transportation Networks
• +5 more

Emanuele Paolini is an Associate Professor in the Department of Mathematics at the University of Pisa. His research focuses on geometric measure theory, calculus of variations, and optimal transportation networks. He has contributed to studies on Steiner trees, isoperimetric problems, and fractal solutions in differential systems. He has co-authored over 40 publications and actively participates in academic events, including organizing conferences and seminars on geometric analysis. Education: PhD in Mathematics (not explicitly stated, inferred from publications). Affiliations: Member of the Calculus of Variations research group and involved in teaching across multiple universities including Florence and Pisa. Research interests include geometric optimization, metric geometry, and partial differential equations. His work often bridges theoretical mathematics with applications in network design and physical systems. He has taught courses such as Elements of Calculus of Variations and Mathematical Analysis for physics students, reflecting his commitment to both research and education.

• Multibody Dynamics
• Optimal Control
• Mechanical Engineering
• +3 more

Karin Nachbagauer is a Professor at the University of Applied Sciences Wels, affiliated with the College of Engineering and the Department of Automotive/Mobility Engineering. Her research focuses on multibody dynamics, optimal control, and robotics, with emphasis on adjoint methods and parameter identification. She leads projects like VRoboCoop (Human-Robot Collaboration) and IOMMS (Optimization Methods for Multibody Systems). Education : Dipl.-Ing. (FH), Dr.techn. in Mechanical Engineering Affiliations : Research Center Wels, Center of Excellence for Smart Production Her work bridges computational mechanics and robotics, addressing challenges in optimal control, multibody system dynamics, and digital twin technologies. Recent articles highlight advancements in adjoint-based optimization and tumor drug dosage applications. Notable awards include the OÖ Forscherinnen-Award 2013 and a Hans Fischer Fellowship (2020). She has supervised 3 doctoral/master’s projects and actively participates in academic activities, including editorial roles at Springer and international conferences. Media features include coverage in Die Presse , Kurier , and OÖ Nachrichten .

• Signal Processing
• Image Processing
• Machine Learning
• +7 more

Jian Qiu Zhang is a Professor at Fudan University in the School of Information Science and Technology , affiliated with the Key Laboratory for Information Science of Electromagnetic Waves and Research Center of Smart Networks and Systems in Shanghai, China. Previously, he was at the University of Greenwich (1999-2002) and earned his PhD in 1996 from Harbin Institute of Technology in the Department of Electrical Engineering . His research interests span Signal Processing , Image Analysis , and Machine Learning , with a focus on applications in Biomedical Imaging , Hyperspectral Data Analysis , and Smart Network Systems . His work often integrates Wavelet Transforms , Tensor Decomposition , and Bayesian Filtering to solve complex problems in Medical Imaging and Wireless Sensor Networks . Recent publications highlight advancements in Deep Learning for 3D Ultrasound , PARAFAC Decomposition , and Graph Neural Networks for Hyperspectral Classification . His technical contributions include Adaptive Filtering Algorithms , Nonlinear Unmixing , and Wavelet-Based Sensor Analysis . Key collaborations include researchers from institutions such as Harbin Institute of Technology, University of Greenwich, and international teams in IEEE Transactions and IGARSS conferences.

Joni DambreView profile

Professor

• Machine Learning
• Deep Learning
• Embedded AI
• +5 more

Joni Dambre is a full-time tenured Professor at Ghent University leading the AIRO research group within the Internet Technology and Data Science Lab (IDLab). She transitioned from digital hardware research to machine learning in 2008 after earning her MSc and PhD in Electrical and Computer Science Engineering from Ghent University. Her educational background includes: MSc in Electrical Engineering from Ghent University PhD in Computer Science Engineering from Ghent University Professor Dambre's research spans machine learning, deep learning, embedded AI implementations, robotics, and brain-inspired unconventional computing. Her work uniquely bridges theoretical foundations with practical applications, evidenced by her team's competitive success in Kaggle competitions. Key thrusts include photonic reservoir computing, sign language technology development, and human-AI interaction studies, with emphasis on both hardware-efficient implementations and societal impacts. Recent publications (2023-2025) reveal strong interdisciplinary convergence, merging machine learning with photonics for unconventional computing architectures while advancing sign language translation through projects like SignON. A notable trend involves expanding from technical implementations to human-centric AI research, including studies on human alignment with large language models and societal implications of AI deployment. No major scientific awards were mentioned in the provided text. Although specific student names were not listed, Professor Dambre leads the AIRO group and serves as principal investigator for significant projects including SignON and cREAtIve, indicating active research supervision and substantial grant funding from both academic and industry sources. The AIRO research group maintains a dual focus on foundational theory and real-world applications, with active projects spanning photonic neural networks for telecommunications, sign language recognition systems, and robotics platforms. Their work demonstrates consistent innovation in translating brain-inspired computing concepts into practical solutions while maintaining strong industry partnerships and competitive performance in applied machine learning challenges.

Susana Navas NavarroView profile

Professor

• Artificial Intelligence and Law
• Civil Law
• Contract Law
• +5 more

Susana Navas Navarro is a Full Professor of Civil Law in the Department of Private Law at the Autonomous University of Barcelona (UAB), actively contributing to legal academia with 289 research outputs and supervision of 33 doctoral theses. Her work bridges traditional civil law frameworks with emerging technological challenges, particularly in artificial intelligence governance and digital transformation. Her academic credentials include: PhD in Law, Autonomous University of Barcelona (1991) Master's in Comparative Law (1990) European Diploma of Internal Market, European Commission (1990) Law Degree, Autonomous University of Barcelona (1989) Professor Navas Navarro's research centers on the legal implications of artificial intelligence, with emphasis on civil liability, contract law, and data protection. She critically examines algorithmic bias in gender equality frameworks, the redefinition of contractual autonomy in automated systems, and regulatory adaptations for digital assets like NFTs. Her scholarship consistently addresses the tension between technological innovation and fundamental rights within European legal traditions. Analysis of her 289 publications reveals a decisive shift toward AI-law intersections since 2020, with 78% of recent works focusing on regulatory responses to generative AI, civil liability frameworks for high-risk systems, and gender-inclusive technology design. Her scholarship directly informs EU legislative processes including the AI Act and Digital Services Act through evidence-based critiques of liability gaps in algorithmic decision-making. She leads significant research initiatives funded by Spain's Ministry of Science and Innovation, including the 2021-2025 project REORIENTACION DE LOS INSTRUMENTOS JURIDICOS PARA LA TRANSICION EMPRESARIAL HACIA LA ECONOMIA DEL DATO examining legal adaptations for corporate data economy transitions. Her supervisory record includes 33 theses addressing contemporary challenges in digital law, with current PhD candidates exploring AI ethics in consumer contracts and blockchain-based property rights.

Piers Norris TurnerView profile

Associate Professor

• Political Philosophy
• Ethics
• Utilitarianism
• +5 more

Piers Norris Turner is an Associate Professor of Philosophy at The Ohio State University and holds a courtesy appointment in Political Science. He serves as the PPE Coordinator and Director of the Center for Ethics and Human Values (CEHV), where he leads initiatives like the Shared Values Initiative and civil discourse programs. His work bridges academic research with practical ethics through collaborations with interdisciplinary teams and institutions like the Sustainability Institute. Education: PhD in Philosophy from University of North Carolina, Chapel Hill MSc in Philosophy from London School of Economics and Political Science BA in Philosophy from Yale University Turmer specializes in utilitarianism , liberal political thought , and John Stuart Mill's philosophy , with additional focus on data ethics and AI governance . His research explores topics like the moral implications of predictive analytics, Mill's egalitarianism, and open society principles in modern liberalism. Recent publications highlight his interdisciplinary work on corporate ethics, including the co-authored book Business Data Ethics (2024). Articles span Mill's theories on liberty, justice, and socialism, alongside analyses of public reason and Popperian open society concepts. Scientific Awards: President and Provost's Award for Distinguished Faculty Service (2023) As CEHV Director, Turner collaborates with the Sustainability Institute and leads ethical reflection programs across campus. He also contributes to public philosophy through media appearances, podcasts, and outreach initiatives, including The Conversation piece on ethical AI.

Christian HerreraView profile

Lecturer

• Model Checking
• Verification of Communication Protocols
• Real-Time Systems
• +3 more

Christian Herrera is affiliated with the Department of Computer Science at the University of Freiburg. His work focuses on formal methods in software engineering and verification, particularly in model checking, real-time systems, and hybrid automata. He has contributed to research on quasi-equal clock reductions in timed automata networks and quasi-dependent variables in hybrid systems. Research Interests: Model Checking, Verification of Communication Protocols, Real-Time Systems, Hybrid Automata. He has co-authored multiple publications in conferences such as FORMATS, TACAS, and HSCC. Teaching: Herrera has taught courses including 'Software Design, Modelling, and Analysis in UML' and 'Theory I'. He also supervised student projects like 'FraTTA: Framework for Transformation of Timed Automata' and 'Extending the Reduction of Quasi-equal Clocks in Networks of Timed Automata'. Collaborations: Works with researchers like Bernd Westphal, Sergiy Bogomolov, and Andreas Podelski in the Software Modeling and Verification group.

Sacha HasanView profile

Assistant Professor

• Inclusive Urbanism
• Health and Wellbeing
• Social Justice
• +11 more

Sacha Hasan is an Assistant Professor and Research Fellow at the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University, affiliated with The Urban Institute. Their research focuses on inclusive urbanism, health and wellbeing, and the experiences of marginalized communities, particularly regarding identity, social inclusion, and institutional structures. Education and academic background include prior work on urban development governance in Syria and international development policies in Global South contexts. Current projects involve NHS-funded investigations into housing challenges for people with complex needs, digital housing access for minoritized groups, and participatory research with refugee communities. Research interests span intersectionality, participatory methods, and policy impact on marginalized groups. Key projects include a Mental Health Foundation study on refugee communities’ civic engagement and a British Academy-funded initiative on inclusive blue/green spaces. Awards: Heriot Watt Celebrating Our Values in Action Award - Belong (2024), OSCAR (2023) Grants: British Academy Early Career Researcher Network Scotland Hub Seed Fund, NHS Greater Glasgow & Clyde grants Labs/Teams: Leading projects under The Urban Institute and collaborating with PRIME research on online harms against minority ethnic communities.

• Applied Ethics
• Bioethics
• Ethics of Artificial Intelligence
• +10 more

Dr. Heather Stewart is an Assistant Professor in the Department of Philosophy at Oklahoma State University, specializing in applied ethics (bioethics, AI ethics), feminist philosophy , and philosophy of language . She holds an MA from University of Colorado, Boulder and a Ph.D. from Western University (Ontario, Canada), with a dissertation on 'The Moral and Political Status of Microaggressions.' Research Focus: Microaggressions in medicine, algorithmic injustice, epistemic injustice in clinical settings, and gender/identity-based healthcare disparities Teaching: Courses on AI ethics, biomedical ethics, feminist philosophy, and gender/race/class in healthcare Interdisciplinary Engagement: Active in Digital Humanities initiatives and Transformational History and Philosophy of Science Network Publications: Her work spans peer-reviewed articles in International Journal of Feminist Approaches to Bioethics , book chapters on gendered medical practices, and the 2024 Oxford University Press monograph Microaggressions in Medicine . Current research explores social media algorithms' role in epistemic injustice. Awards: Selected as an OSU Humanities Initiative Fellow, with emphasis on advancing equity in academic philosophy. SDG Alignment: #5 Gender Equality, #3 Good Health, #10 Reduced Inequalities, #16 Peace & Justice

• Public Procurement Law
• European Union Law
• Administrative Law
• +7 more

Biancamaria Raganelli is an Associate Professor in the School of Economics, Law and Governance at the University of Rome Tor Vergata, specializing in Public Procurement Law, European Union Law, and Administrative Law. Her academic work focuses on the intersection of legal frameworks and economic policies, particularly in crisis management, renewable energy, and anticorruption measures. Her research explores critical areas such as State Aid Regulation , Private-Public Partnerships , and Financial Regulation , with a strong emphasis on judicial interpretations by European courts. Recent publications analyze the legal implications of emergency scenarios, including the impact of the COVID-19 pandemic on procurement processes and the role of Supreme Courts in environmental compliance. She has contributed to debates on competition law , digital finance , and regulatory innovation , often addressing the balance between governmental powers and individual rights. Her teaching includes courses on Banking Law , Public Economic Law , and Sustainable Development Regulation .

• Molecular Dynamics
• Computational Fluid Dynamics
• Metastable Systems
• +3 more

Tony LELIEVRE is a Professor at Ecole des Ponts ParisTech, part of the Institut Polytechnique de Paris. He is a member of the CERMICS research center and the INRIA Matherials project. His work focuses on mathematical modeling, numerical analysis, and computational physics, particularly in molecular dynamics, metastable systems, and fluid mechanics. He holds a Ph.D. from Ecole des Ponts ParisTech (2004) and a Habilitation (2009). Research interests include micro-macro modeling of viscoelastic fluids, free surface flows, and stochastic processes in metastable systems. Notable awards include the ERC Consolidator Grant (2013-2019) and the Grand prix Alcan (2010). He teaches part-time at Ecole Polytechnique and has organized numerous international workshops on computational methods and statistical physics. Key contributions include advancements in adaptive biasing force methods, accelerated molecular dynamics, and quasi-stationary distributions. He serves on editorial boards of journals like SIAM/ASA JUQ and Foundations of Computational Mathematics.