Find Academic Supervisors

• Systems
• Concurrency
• Memory Management
• +5 more

Christoph Kirsch is a Professor and Chair of the Department of Computer Science at the University of Salzburg. He also serves as Chair of the Programming Research Laboratory at the Faculty of Information Technology, CTU Prague. His research focuses on systems, concurrency, memory management, and formal methods, with notable contributions including the Selfie educational software project and work on symbolic execution. He is a prolific author with over 50 publications in top venues like LCTES and EMSOFT. Education: Ph.D. in Computer Science (details not specified). His teaching includes courses on elementary computer science concepts and curricula development. He advises students such as Anna Bolotina and has graduated over a dozen PhD students. Research highlights include the Selfie system (self-referential C compiler and emulator), work on concurrency primitives like Scal and Timestamped Stack, and contributions to real-time systems (Logical Execution Time, Variable-Bandwidth Servers). His recent focus includes teaching digital thinking and evaluating eval in R programs. He has organized conferences like MPLR’24 and served on program committees for EuroSys and RTNS. His book Elementary Computer Science emphasizes foundational concepts for broad audiences.

Hana D’SouzaView profile

Research Fellow

• Developmental Psychology
• Cognitive Neuroscience
• Neurodevelopmental Disorders
• +7 more

Hana D’Souza is an Associate Research Fellow at the Centre for Brain & Cognitive Development (CBCD) , Birkbeck, University of London, and a key member of the London Down Syndrome (LonDownS) Consortium . Her work bridges psychology, neuroscience, and genetics to investigate developmental mechanisms in neurodevelopmental disorders. Education: PhD in Psychology, Goldsmiths, University of London (2012-2016) Visiting Doctoral Student, University of Michigan (2015) PGCert in Management of Learning & Teaching, Goldsmiths (2013-2015) MSc in Psychological Research, University of Oxford (2011-2012) Master’s and Bachelor’s in Psychology, Masaryk University (2005-2011) Research Focus: Dr. D’Souza studies how attention and motor abilities interact in typical and atypical development, particularly in infants with Down syndrome, fragile X syndrome, and Williams syndrome. Her research emphasizes syndrome-specific markers, individual differences, and links between Down syndrome and Alzheimer’s disease. Publication Trends: Her recent work explores cross-syndrome comparisons, motor system specialization, audio-visual speech perception, bilingual language control, and parent-child interactions. Keywords include Developmental Psychology , Cognitive Neuroscience , and Neurodevelopmental Disorders , with sub-fields spanning Language Acquisition , Face Processing , and Neurophysiological Correlates . Scientific Awards: Trisomy 21 Research Society Travel Award Guarantors of Brain Travel Grant Experimental Psychology Society Study Visit Grant Cornell University Sackler Summer Institute Fellowship Masaryk University Exceptional Scholarship Grants: She has secured funding from the British Academy, The Waterloo Foundation, and other institutions for research on embodied language development, early behavioral markers, and Williams syndrome. Her roles in grants often involve interdisciplinary collaborations.

Amalia de GötzenView profile

Associate Professor

• Service Design
• Systemic Design
• Open Data
• +7 more

Amalia de Götzen is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. Her work focuses on Systemic Design, Service Design, and Open Data initiatives, with a particular emphasis on participatory approaches and sustainability. She leads projects like CREATIVE DRIVERS FOR SUSTAINABLE LIVING HERITAGE LANDSCAPES and BC4ECO (Blockchain for Environmental Education), exploring interdisciplinary solutions for societal challenges. Her research interests include systemic design principles, cross-cultural collaboration through digital platforms, and ethical frameworks for data-driven design. Notable contributions include the DiversityOne multi-country smartphone sensor dataset and work on Theory of Change methodologies in urban regeneration projects. She has been awarded for innovative contributions to mobile sensing and 3D user interface design. Prof. de Götzen actively engages in public sector design, developing tools like the Stakeholder Map to enhance citizen-centric service design. Her projects often bridge academia and industry through collaborative ecosystems, emphasizing open licensing and IP awareness (e.g., ZOOOM project). Key Projects: Co-Design 4 Transitions (CD4T) - Climate Transition Strategies (2024-2027) Blockchain for Environmental Education (BC4ECO) - Disruptive Technology Pedagogy (2022-2025) CREATIVE DRIVERS - Heritage Landscapes and Sustainable Living (2023-2026) Awards: 2023: Mood Inference Model Prize for cross-cultural data analysis 2015: 3D User Interface Design Excellence Award Her work frequently addresses global challenges through design thinking, such as circular economy practices and digital citizenship frameworks. Current research explores temporal dimensions in urban planning and ethical AI integration in diversity-aware platforms.

Tuomas VirtanenView profile

Professor

• Audio signal processing
• Machine listening
• Sound source separation
• +5 more

Tuomas Virtanen is a Professor at Tampere University's Signal Processing Research Centre within the Faculty of Information Technology and Communication Sciences. His primary affiliation is the Computing Sciences department, where he leads the Audio Research Group . His work focuses on computational analysis of audio signals, machine listening, and acoustic scene understanding. Research Interests: Audio signal processing, content analysis of audio, sound source separation, acoustic scene classification, speech processing (including noise-robust ASR and speaker recognition), and machine learning techniques such as deep neural networks and statistical modeling. His group develops methods for sound event detection, localization, and tracking in complex acoustic environments. Key Contributions: Leading the DCASE (Detection and Classification of Acoustic Scenes and Events) challenges, developing open-source datasets like TUT Acoustic Scenes and STARSS, and advancing techniques in audio captioning, privacy-preserving audio processing, and multimodal learning. Notable Projects: Creation of the Audio Research Group , development of the Clotho audio captioning dataset, and pioneering work in zero-shot audio classification using semantic embeddings. His research bridges signal processing fundamentals with modern machine learning paradigms.

• Audio Signal Processing
• Music Information Retrieval
• Natural Language Processing (NLP)
• +3 more

Panagiotis G. Zervas is an Associate Professor at the Department of Electrical and Computer Engineering, University of Peloponnese (since 2020). His expertise spans audio signal processing, music information retrieval, and natural language processing for knowledge extraction. He teaches courses including Signals & Systems, Digital Signal Processing, and Machine Learning. His research focuses on AI-driven applications in sound analysis, music feature extraction, and multimodal information processing. Education: PhD (2007) in Electrical Engineering from the University of Patras, specializing in Greek prosody modeling for text-to-speech systems. Previous roles include Assistant Professorships at Hellenic Mediterranean University (2015–2020) and Technical Educational Institute of Crete (2008–2015). Research Interests: Natural Language Processing (NLP) for text analysis and large language models (LLMs) Audio signal processing, voice analysis, and embedded systems AI applications in job market analytics and skills frameworks Machine learning for music information retrieval Notable Projects: Principal Investigator in EU projects EU-ALMPO (2025–), Train4Blue (2025–), GROWTH4BLUE (2024–), and MICROIDEA (2024–) World Bank consultant (2023–) for AI-driven employment systems in Greece and Pacific Islands Publications in journals like 'Acoustics' and conferences like WAC 2022 and Forum Acusticum 2023 Office: Building K, Office K2.07 | Contact: pzervas@uop.gr

• Computer Vision
• Multimodal Learning
• Generative Models
• +3 more

Dr. Yuanhong Chen is a Postdoc Researcher at the Australian Institute for Machine Learning (AIML) within the University of Adelaide's Division of Research and Innovation. His work focuses on advancing computer vision, multimodal learning, and generative models, particularly in medical image analysis and audio-visual perception. He explores integrating large language models for cross-modal understanding to enhance AI systems' interpretability and robustness. Research interests include: Interpretable AI frameworks for medical imaging Semi-supervised and self-supervised learning techniques Audio-visual contextual learning and binaural audio generation Applications in breast cancer screening and disease classification Recent publications highlight innovations in prototype-based learning for medical diagnosis, cross-modal segmentation, and unsupervised anomaly detection. His work on Braix risk score and AutoCumulus demonstrates contributions to automated medical biomarker development. Collaborations within AIML and interdisciplinary projects at the University of Adelaide underscore his commitment to bridging foundational AI research with real-world healthcare applications.

• Big data
• Data science
• Data analytics
• +12 more

Paolo Garza is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he also serves as Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the DBDM research group and the SmartData@PoliTO laboratory, and actively contributes to academic governance through roles in teaching coordination and PhD program committees. Education: Bachelor’s in Computer Engineering, Polytechnic University of Turin (2001) PhD in Computer and Systems Engineering, Polytechnic University of Turin (2005) His research centers on data science, big data analytics, data mining, and machine learning , with applications in emergency management, real-time communications, Earth observation, and cybersecurity. He has led and participated in numerous national and commercial research projects, including AI4CTI and NODES (PNRR), and has collaborated with industry partners like Cisco Systems. His work bridges theoretical algorithm development and practical deployment in critical systems. The recent publications reflect a strong trend toward multimodal AI, crisis informatics, and intelligent networking . Articles span computer vision for environmental monitoring (e.g., burned area detection, canopy estimation), ML for real-time communication quality, multimodal document understanding, and crisis response systems. His team leverages deep learning, transformers, and vision-language models across diverse domains. Scientific Service: Associate Editor, Knowledge and Information Systems (2024–) Associate Editor, Expert Systems with Applications (2022–) General Co-Chair, IEEE AICT Conferences (2022, 2023) He mentors several PhD students and leads funded research initiatives focused on AI for sustainable industry and cyber threat intelligence. His teaching includes graduate courses on big data processing, distributed architectures, and data science lab methods. He has also directed commercial training programs and research contracts in machine learning and cybersecurity. Research Labs & Teams: DBDM - Database and Data Mining Group (DAUIN) SmartData@PoliTO - Big Data and Data Science Laboratory LAB 5 - Research Laboratory (DAUIN)

Tadeusz WięckowskiView profile

Professor

• Electromagnetic Compatibility
• Antenna Theory
• Radio Wave Propagation
• +6 more

Tadeusz Więckowski is a Professor and Head of the Department of Telecommunications and Teleinformatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work bridges advanced electromagnetic theory with practical telecommunications systems. His research interests include: Electromagnetic Compatibility (EMC) of devices and systems Antenna theory and design Radio wave propagation Radiocommunication systems Gyrotron and microwave source technologies Testing methodologies for EMC infrastructure The recent publications highlight a strong focus on high-frequency electromagnetic systems, particularly gyrotrons for spectroscopy and electromagnetic compatibility testing. His work spans both theoretical modeling and experimental validation, with applications in telecommunications, broadcasting (e.g., DAB), and scientific instrumentation. There is also engagement with modern topics such as IoT testing, intrusion detection, and neural networks for document verification, indicating interdisciplinary reach. Tadeusz Więckowski leads the Department of Telecommunications and Teleinformatics, which is involved in the operation of the Laboratory for Electromagnetic Compatibility. This infrastructure supports advanced research in signal integrity and system compatibility.

Pardhasaradhi BethiView profile

Research Fellow

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

Pardhasaradhi Bethi is a Research Fellow at the Department of Information and Communication Technology , University of Agder , specializing in lightweight deep learning models for edge computing and radar signal processing. Focus areas include object classification, sound recognition, and drone surveillance Collaborates with colleagues like Linga Reddy Cenkeramaddi and Srihari Pathipati Research Interests encompass edge AI , radar-communication convergence , and real-time IoT integration . His work emphasizes optimizing neural networks for low-power devices and improving tracking frameworks. Publication Trends show a strong focus on automotive radar , drone detection , and human activity analysis using deep learning techniques.

• Active Acoustics
• Digital Signal Processing
• Artificial Reverberation
• +3 more

Dr. Gian De Bortoli is a Doctoral Researcher affiliated with the School of Electrical Engineering and the Department of Information and Communications Engineering . His work focuses on Active Acoustics , Digital Signal Processing , and Machine Learning , particularly in differentiable audio systems and artificial reverberation. Research Interests De Bortoli specializes in Audio Signal Processing , with a focus on Differentiable Digital Signal Processing (DDSP) Stability optimization in active acoustics using gradient descent Phase Cancelling Modal Reverberators Multi-Objective Optimization for feedback loop control Recent Publications His work spans 2024–2025, emphasizing frequency-domain audio processing , open-source libraries like FLAMO, and stability-driven acoustics . Collaborations include researchers from Zenodo and international institutions.

• Music Production
• Music Technology and Creativity
• 20th Century British Art Music
• +5 more

Dr. Mark Marrington is an Associate Professor in Music Production at York St John University, Faculty of Arts. He is a composer, guitarist, and scholar with expertise in musicology of record production, music technology, and 20th-century British art music. His research explores classical guitar recording practices, digital audio workstations (DAW), and heavy metal music aesthetics. He previously taught at Leeds College of Music and the University of Leeds, and has contributed to academic publications on topics ranging from Denis ApIvor's compositional techniques to the role of technology in music production. Research interests include the evolution of classical guitar recording from the early 20th century to today, the impact of DAWs on creativity, and the intersection of technology and heavy metal music. His book *Recording the Classical Guitar* (2021) was a finalist for the ARSC Award. He also serves as a series editor for academic books on music production, including *Gender in Music Production*. Professional activities include roles as an external examiner for several UK universities and contributions to pedagogical guitar publications like *Guitar from Scratch*. His artistic output includes compositions such as *Cars* (2012, created from car sounds) and the *MadeinMIDI* project. He has curated archival materials for Denis ApIvor’s works and lectures widely on topics like metal music production and classical guitar history. Awards: Finalist in 2022 ARSC Award for *Recording the Classical Guitar*. Grants/Projects: Curated the Denis ApIvor archive at University of Leeds, contributed to multiple music technology research initiatives. Labs/Teams: Involved in music production and technology research groups at York St John and collaborating institutions.

• Natural Language Processing
• Machine Translation
• Speech Processing
• +3 more

Popescu-Belis Andrei serves as an Associate Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO), specifically within the Institute of Information and Communication Technologies (IICT) at HEIG-VD campus in Yverdon-les-Bains. His academic work spans teaching computer science fundamentals and advanced natural language processing concepts across both undergraduate and graduate programs. His research interests focus on Natural Language Processing , Machine Translation , and Human-Machine Dialogue systems, with particular emphasis on low-resource language scenarios. His work addresses challenges in speech-to-speech translation, subword tokenization, neural machine translation optimization, and creative applications like poem generation. Recent publications through 2025 demonstrate his ongoing contributions to the field, particularly in multilingual NMT training schedules and low-resource language processing pipelines. Analysis of his 15 most recent publications reveals consistent focus on practical solutions for language barriers, with increasing attention to reinforcement learning applications and creative language generation. His work on GPoeT demonstrates the intersection of traditional literary forms with modern language models, while his research on low-resource translation pipelines addresses real-world community interpreting needs. He has led significant research projects including Digital Lyric (2019-2020), a collaboration with UNIL (University of Lausanne) to develop systems for aiding poem generation for a public exhibition at Morges Castle. This project demonstrates his interdisciplinary approach bridging computational linguistics with creative applications. His academic contributions include: Development of specialized training pipelines for low-resource neural machine translation Innovative approaches to speech-to-speech translation for community interpreting Novel methods for constrained language model applications in creative writing Significant contributions to understanding subword tokenization mechanics Popescu-Belis maintains active research collaborations across institutions, as evidenced by his work with UNIL and various international conference publications. His teaching portfolio includes courses in natural language processing, data preparation, unsupervised machine learning, and computer science fundamentals, demonstrating his commitment to both theoretical and practical aspects of the field.

Jeroen VandaeleView profile

Professor

• Ideology in Translation
• Francoism and Censorship
• Comedy and Humor Studies
• +4 more

Jeroen Vandaele is a Professor at Ghent University's Department of Translation, Interpreting and Communication , where he teaches Literary Translation and Hispanic Literatures. Previously, he served as a professor of Spanish at the University of Oslo (2008-2017), and held visiting positions at the Universitat Autònoma de Barcelona (2012) and the Universidad Autónoma de Madrid (doctoral guest researcher). In 2023, he was a Mare Balticum Fellow at Rostock University. His research spans ideology in translation under Francoism, comedy and humor studies , cognitive literary theory , and narratology (including film). He explores how textual details and cultural context intersect in translation, particularly in politically sensitive works. Recent publications (2024) focus on transmedial humor, part-whole thinking in translation, and fascism's impact on film translation. His work bridges theoretical and practical translation studies , emphasizing human agency over mechanical approaches. Notable projects include DELIAH (Democratic literacy and humor, 2025-2029) and HACIDA (Humor in digital conflicts, 2022-2024). Editorial roles include the Target International Journal of Translation Studies and advisory positions for journals like Actio Nova and Textus . He supervised Miguel Ángel Guerra Blázquez's PhD (2024) on literary translation reception in Francoist Spain.

• Human-Computer Interaction
• Machine Learning
• Affective Computing
• +4 more

Ilhan Aslan is a researcher affiliated with the University of Augsburg and DFKI GmbH , focusing on Human-Computer Interaction , Machine Learning , and Affective Computing . His work explores emotional speech interfaces , tangible interaction , and playful multimodal systems . Research Themes : Speech emotion recognition, proxemic-aware interaction, AI ethics, and user experience design. Recent Contributions : 2025 studies on proactive AI agents , voice emotion conversion , and solo role-playing AI ; 2024 work on audio enhancement and emotional trajectory modeling . His publications with Elisabeth André , Timothy Merritt , and Niels van Berkel demonstrate cross-institutional collaboration. Current projects emphasize sustainable creativity support , haptic feedback systems , and bias detection in speech AI .

David W. McDonaldView profile

Professor

• Computer-Supported Cooperative Work
• Human-Computer Interaction
• Social Computing
• +5 more

David W. McDonald is a Professor in the Department of Human Centered Design & Engineering (HCDE) at the University of Washington. His research and teaching focus on the intersection of social behavior and computing systems. He maintains an active research program with numerous Directed Research Groups (DRGs) examining topics including Wikipedia collaboration, social computing, and the application of Large Language Models in design contexts. Dr. McDonald earned his PhD in Information and Computer Science from the University of California, Irvine, with a dissertation titled "Supporting Nuance in Groupware Design: Moving from Naturalistic Expertise Location to Expertise Recommendation." He completed additional graduate work at UC Irvine (MS in Information & Computer Science) and California State University, Hayward (MS in Math & Computer Science), and received his BA in Cognitive Science from UCLA. His research interests span Computer-Supported Cooperative Work (CSCW) and Human-Computer Interaction (HCI), with particular focus on collaboration in Wikipedia, social matching systems, and behavior change through computational systems. His work examines how computational systems can be designed to interleave with human activity to foster collaboration and healthy behaviors. Recent research has explored social translucence in online communities, crisis communication on TikTok, and applications of Large Language Models for debugging assistance and content moderation. Dr. McDonald's publications demonstrate a consistent focus on collaborative systems, with key contributions in social computing, Wikipedia research, and health informatics. His work frequently appears in top-tier venues including ACM CSCW, CHI, and AMIA. Recent publications examine the intersection of social media, health communities, and computational analysis of online behavior. 2013 Distinguished Paper Award, American Medical Informatics Association Fall Symposium (AMIA) 2008 Best Paper Award, AAAI International Conference on Weblogs and Social Media (ICWSM) 2008 Honorable Mention, ACM Conference on Computer Supported Cooperative Work (CSCW) 2003 UW Royalty Research Scholar, University of Washington 1999 Regent's Dissertation Fellowship, University of California, Irvine 1983 Chancellor's Scholar, University of California, Los Angeles Dr. McDonald has served as a Program Director for the Human Centered Computing (HCC), Network Science and Engineering (NetSE), and Social Computational Systems (SoCS) programs at the National Science Foundation. His professional affiliations include the Association for Computing Machinery (since 1999) and ACM SIGCHI (since 1999). He has also co-edited the influential book "HCI Remixed: Essays on Works that have Influenced the HCI Community" (MIT Press, 2008).