جست‌وجوی استاد و پژوهشگر

Sotirios Batsakisمشاهده پروفایل

پژوهشگر ارشد

• Knowledge Representation
• Semantic Web
• Spatio-Temporal Reasoning
• +۴ مورد دیگر

Dr. Sotirios Batsakis is a Senior Research Fellow at the University of Huddersfield, School of Computing and Engineering. He holds a diploma in Computer Engineering and Informatics from the University of Patras (Greece) with highest distinction, and a Master’s/Ph.D. in Electronic & Computer Engineering from the Technical University of Crete. His work contributes to UN Sustainable Development Goals through research in knowledge representation, semantic web, and spatio-temporal reasoning. Centre for Planning, Autonomy and Representation of Knowledge Centre of Artificial Intelligence for Mental Health Centre for Autonomous and Intelligent Systems His research spans knowledge representation, semantic technologies, spatio-temporal reasoning, and AI applications in mental health. Recent work focuses on large language models for formal verification, defeasible reasoning, and compliance checking in legal contexts. He has contributed to qualitative spatial reasoning frameworks, temporal representation in OWL, and semantic IoT systems. Active in academic service as a programme committee member for IEEE conferences, he has published extensively on semantic web technologies, ontologies, and AI applications. His research fingerprint includes ontology engineering (100%), semantic web (66%), and temporal reasoning (15%) across 63 publications since 2009.

Coen De Rooverمشاهده پروفایل

استاد

• Program Analysis
• Software Quality
• Static and Dynamic Analysis
• +۷ مورد دیگر

Coen De Roover is a Professor at the Software Languages Lab of the Vrije Universiteit Brussel , actively leading research in program analysis, software quality, and security. He chairs the Bachelor in Computer Science program and supervises a dynamic research group. Research Focus: Static/dynamic analysis, automated testing, software maintenance, AI for SE, infrastructure as code security. Projects: Bugatti (2025-2028), Cracy (2024-2027), CRPF (2024-2028), BaseCamp Zero (2022-2026), EcoPipe (2023-2025), APAX (2022-2024). Scientific Awards: MSR 2025 Distinguished Dataset Award IEEE TCSE Distinguished Paper Award (SANER 2022) ICSE 2022 Best Artifact Award SCAM 2022 Best Artifact Award Conference Leadership: General Chair of SCAM 2024, Program Co-Chair for GPCE 2024, and active in organizing summer schools on security testing.

• Archaeology of Farming and Food
• Gender and Feminism in Archaeology
• Interaction between Farmers and Hunter-Gatherers
• +۱۳ مورد دیگر

Alex Schoeman is an Associate Professor in the School of Geography, Archaeology and Environmental Studies at the University of the Witwatersrand. She leads the NRF-funded South African Farmscapes & Food team, focusing on pre-colonial African farming systems in northeastern South Africa. Her work integrates environmental, economic, and social dimensions of farming, with a strong emphasis on Indigenous Knowledge and sustainability. BAHons, University of the Witwatersrand MA, University of the Witwatersrand PhD, University of the Witwatersrand Her research interests span the archaeology of farming and food, gender and feminism, interactions between farmers and hunter-gatherers, and the history of archaeology. She explores how farming communities transformed their environments and how ritual, labor, and social structures shaped pre-colonial landscapes. Her teaching includes courses on the archaeology of the last 2000 years in southern Africa, the history of archaeological thought, and the archaeology of food production. Her recent publications reflect a strong trend in landscape archaeology, phytolith and organic residue analysis, ritual sites, and the reinterpretation of stone-walled settlements like Bokoni. The articles span environmental reconstruction, gendered labor, technological practices, and decolonial approaches to archaeological interpretation, demonstrating a multidisciplinary and socially engaged methodology. She has not been explicitly awarded any scientific prizes in the provided text, but her leadership of an NRF-funded project indicates significant recognition and competitive grant acquisition. Alex Schoeman actively supervises students and leads field projects such as the Bokoni Farmscapes and AGRI-DRY initiatives. Her work involves collaboration across institutions and disciplines, particularly in geochemical, botanical, and remote sensing analyses. She is deeply involved in community-engaged archaeology and the curation of Indigenous Knowledge systems. She is affiliated with key research platforms including the Bokoni Farmscapes Project and the AGRI-DRY research network, which support her fieldwork and interdisciplinary investigations into southern African farming pasts.

Anne Buckleyمشاهده پروفایل

دانشیار

• Translation Studies
• German to English Translation
• Italian to English Translation
• +۷ مورد دیگر

Anne Buckley is Associate Professor in German and Translation Studies at the School of Languages, Cultures and Societies, University of Leeds, Faculty of Arts, Humanities and Cultures. Her work spans translation pedagogy, corpus linguistics, and the history of German prisoners of war during the First World War. She leads translation modules at undergraduate and postgraduate levels and supervises final year projects. Education: BSc in Pure Mathematics and German, UMIST PGCE in German and Mathematics, University of Strathclyde MA in Applied Translation Studies, University of Leeds Anne's research centers on the experiences of German POWs in the UK during WWI, particularly at the Raikeswood Camp in Skipton. She explores coping strategies, cultural activities, delayed repatriation, and mental health impacts. Her interdisciplinary approach combines historical analysis with translation and corpus linguistics. She has led public engagement initiatives with Craven Museum and Skipton Library, and translated key historical texts. Her publications and conference presentations reveal a strong focus on military captivity, cultural resilience, and translation as a historical tool. Themes include transnational prisoner movement, legacy of war, and the use of translation in preserving historical memory. Anne Buckley is a Fellow of the UK Higher Education Academy and a member of the German History Society and the International Society for First World War Studies. She has no listed scientific awards. She supervises final year translation projects and serves as the Residence Abroad Tutor for German students. She has led a team of translators on major historical translation projects but no formal PhD students are listed. Her work integrates teaching, research, and public history, particularly through the Kriegsgefangen in Skipton project. Anne is involved in research groups including the Translation German group, Centre for Translation Studies, and Language at Leeds, and contributes to the War Studies research community at Leeds.

Jelle Zuidemaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Explainable AI
• Cognitive Modelling
• +۶ مورد دیگر

Dr. Jelle Zuidema is Associate Professor in Natural Language Processing, Explainable AI and Cognitive Modelling at the Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam, with primary affiliation in the Natural Language Processing research group and secondary affiliation in Language & Music Cognition. He directs the Cognition, Language and Computation lab (CLC-lab) within the Faculty of Science. His research bridges artificial intelligence, cognitive science and linguistics with focus on interpretable deep learning models for text and sound. He pioneered techniques including diagnostic classification (probing), attention rollout, TreeLSTM, and masked language modeling. His work addresses fundamental questions about hierarchical compositionality in language and how neural networks can represent linguistic structure. Analysis of his publication record reveals consistent innovation in neural network interpretability methods, with recent work focusing on bias detection in language models and attention flow quantification. His research trajectory shows evolution from foundational neural parsing work to current emphasis on explainable AI and cognitive plausibility of deep learning models. Dr. Zuidema actively supervises PhD and MSc students while teaching courses including Evolution of Language and Music, Foundations of Neural and Cognitive Modelling, and Interpretability & Explainability in AI. He coordinates the Cognitive Science track in the Brain & Cognitive Sciences master's program. He directs the CLC-lab which pursues both hypothesis-driven methods (diagnostic classifiers, representational similarity analysis) and data-driven methods (layer-wise relevance propagation, contextual decomposition) for neural network interpretation. The lab's InDeep project focuses on interpreting deep learning models for text and sound processing.

• Computational Creativity
• Machine Learning in Music
• Neural Networks
• +۴ مورد دیگر

Kaliakatsos Papakostas Maximos is an Associate Professor in AI in Music at the Department of Music Technology and Acoustics, Hellenic Mediterranean University, where he also directs the MSc program in Sound and Music Technologies. He collaborates with the Athena Research and Innovation Centre and the Cognitive and Computational Musicology Group at Aristotle University of Thessaloniki. His research focuses on computational creativity, neural networks in music understanding, evolutionary algorithms for harmony and rhythm generation, and interactive music systems. He develops applications like Genius Jam Tracks and contributes to open-source projects such as the CHAMELEON harmonisation system. His work bridges music theory, AI, and technology, with applications in mobile music tools and cognitive modeling. Research Interests : Computational Creativity through Machine Learning and Conceptual Blending Neural Networks in Music Generation and Analysis Evolutionary Computation for Musical Structures Human-Computer Interactive Systems for Improvisation Cognitive Models of Musical Perception Labs & Collaborations : Collaborating Researcher at Athena Research Centre Partnership with the Cognitive and Computational Musicology Group (Aristotle University) Development of open-source tools like CHAMELEON and GCT_py Grants & Projects : Not explicitly listed in provided texts, but his GitHub activity suggests ongoing research in AI music technologies.

• Information Retrieval
• Large Language Models
• Parameter Efficient Fine-Tuning
• +۵ مورد دیگر

Marco Braga is a researcher focused on information retrieval, large language models, and parameter-efficient fine-tuning techniques. His work spans personalized community question answering systems, synthetic data generation, and adapter-based model optimization. Recent research interests include: Zero-shot learning and task arithmetic for LLMs Context-aware personalization in retrieval systems Hybrid neural-symbolic approaches for structured reasoning Telecommunications domain modeling Key article trends show expertise in: Adapter modules and low-rank parameter optimization Community question answering personalization Synthetic dataset creation for training LLMs Model efficiency in resource-constrained settings Collaborations include Gabriella Pasi, Pranav Kasela, and Alessandro Raganato. His work appears in SIGIR, COLING, WI-IAT, and IIR conferences, with notable Zenodo dataset contributions.

• Visual Analytics
• Information Visualization
• Cybersecurity
• +۷ مورد دیگر

Graziano Blasilli is an Assistant Professor at Sapienza University of Rome's Department of Computer, Control and Management Engineering within the School of Engineering. With a prolific publication record spanning from 2018 to 2025, he has established himself as a significant contributor to the fields of visual analytics, information visualization, and cybersecurity. His research primarily focuses on applying visualization techniques to complex domains including cybersecurity, healthcare, and business process management. Blasilli's research interests center around visual analytics for cybersecurity, with numerous publications on network security visualization, vulnerability analysis, and cyber situational awareness. He has also made significant contributions to healthcare informatics through visual analytics for network medicine and digital twins. His technical expertise extends to developing visualization frameworks for machine learning interpretability, clustering quality assessment, and process mining. His work consistently bridges theoretical visualization concepts with practical applications in critical domains. His recent publications demonstrate an expanding research trajectory into healthcare digital twins, explainable AI for deep learning, and visual perception-based analysis of clustering algorithms. Blasilli frequently collaborates with researchers including Marco Angelini, Simone Lenti, and Giuseppe Santucci, forming a productive research group at Sapienza University of Rome. His work appears in top-tier visualization venues including IEEE Transactions on Visualization and Computer Graphics, VizSec, EuroVis, and AVI. Blasilli's research has practical implications across multiple sectors, particularly in cybersecurity operations where his visualization techniques help security analysts detect threats and understand complex network behaviors. His work on healthcare applications shows promise for improving clinical decision support systems through better data visualization.

• Evolutionary Computation
• Global Optimization
• Artificial Intelligence
• +۵ مورد دیگر

Professor Jarosław Arabas is a distinguished academic at Warsaw University of Technology's Faculty of Electronics and Information Technology, currently serving as Head of the Division of Artificial Intelligence (since 2024) and previously as Director of the Institute of Computer Science (2016-2024). His institutional leadership includes roles as Head of the Scientific Council for Information and Communications Technology and Head of the Faculty Council Committee on Research since 2009. His educational background includes M.Sc. (1993), PhD (1996), and D.Sc. (2006) degrees. Key research areas span Evolutionary Computation, Global Optimization, Artificial Intelligence, Neural Networks, Decision Making Under Uncertainty, Smart Grids, and Energy Markets. His work demonstrates strong interdisciplinary connections between computational methods and energy systems applications. Analysis of his 15 most recent publications reveals dominant trends in surrogate-assisted optimization, particularly for JADE and CMA-ES algorithms, with significant focus on step-size adaptation, matrix-free implementations, and performance benchmarking. His research consistently bridges theoretical algorithm development with practical applications in energy markets and smart grid systems, while maintaining strong contributions to evolutionary computation theory. Rector's Award in Science (2020) Rector's Award in Education (2021) Professor Arabas has supervised 50 promoted theses and led 15 research projects, demonstrating exceptional mentorship capacity. His leadership extends to directing the Institute of Computer Science and heading the Artificial Intelligence Division. Current research activities involve the Zespół Metaheurystycznych Metod Optymalizacji i Ich Zastosowań (Metaheuristic Optimization Methods and Their Applications Team), which he leads, alongside membership in the Koło Naukowe Sztucznej Inteligencji 'GOLEM' (Scientific Circle of Artificial Intelligence).

• Moral Epistemology
• Meta-Ethics
• Business Ethics
• +۷ مورد دیگر

Jacob Sparks is an active Assistant Professor in the Department of Philosophy at California Polytechnic State University, San Luis Obispo. Holding a PhD from Bowling Green State University (2018), he maintains a robust research program at the intersection of traditional philosophical inquiry and contemporary technological challenges. His research spans Moral Epistemology , Meta-Ethics , and Applied Ethics , with particular focus on the Ethics of Artificial Intelligence and Technology Ethics . Key interests include moral justification frameworks, human agency models in AI systems, and business ethics with emphasis on market semiotics and commodification critiques. His work consistently bridges theoretical philosophy with practical applications in emerging technologies. Analysis of his publication record (2017-2025) reveals three dominant research trajectories: (1) foundational work in moral epistemology examining how moral beliefs are justified, (2) critical engagement with AI ethics focusing on human-centered approaches and moral agency models, and (3) applied ethics investigations into business practices, medical ethics, and pandemic response protocols. His most cited works demonstrate increasing engagement with AI ethics since 2020. His professional activities include collaborations with researchers like Athmeya Jayaram and Ava Wright across multiple publications. While no formal advising relationships are documented in the provided materials, his scholarly output demonstrates significant engagement with both theoretical and applied ethical dilemmas.

• Bioinformatics
• Mass Spectrometry
• Machine Learning
• +۷ مورد دیگر

Viktoria Dorfer is a Professor at the University of Applied Sciences Hagenberg, affiliated with the Bioinformatics Center of Excellence and Medical Engineering/TIMed Center HEAL. She holds an ORCID iD (0000-0002-5332-5701) and has published 66 research outputs with an h-index of 9 and 676 citations. 2007–2012: Doctoral research on algorithmic approaches 2013–2016: FWF Translational Research on MS Amanda 2020–2022: PI for b-tastic project Research Interests: Spanning bioinformatics, mass spectrometry, and medical engineering, her work focuses on: Algorithm development for peptide identification Evolutionary algorithms in data analysis Mass spectrometry software platforms (AMANDA, Annika) Cross-linked peptide analysis Precision agriculture applications Medical device optimization 2024 Trends: Recent contributions include symbolic regression in livestock farming, enhanced rescoring platforms, and structural analysis of the C. elegans Box C/D complex. Awards: EuPA Bioinformatics Mass Spectrometry Award (2020) Leadership: Organized Austrian Proteomic Research Symposia (2017), served as reviewer/peer-reviewer for journals, and led interdisciplinary collaborations.

Fernando Suárez Carballoمشاهده پروفایل

استاد

• Graphic Design
• Visual Communication
• Typography
• +۶ مورد دیگر

Fernando Suárez Carballo is a Professor of Art Direction at the Faculty of Communication (Pontifical University of Salamanca) since 2000. His work focuses on graphic design, visual communication, and their intersection with technology. Degree in Journalism (2000) PhD in Audiovisual Communication (2005, thesis on Cognitive Repercussions of Printed Journalistic Design ) His research explores: Semiotics and aesthetics in design Effectiveness of visual communication Visual identity and adaptive branding Education in graphic design Digital design trends (New Ugly, minimalism) Recent work analyzes: Adaptive graphic brands in digital identity Simplicity vs complexity in logo design Typography in journalism education Visual strategies in sports branding User experience in digital publications Scientific recognition: Accreditation as Full Professor by ANECA CNEAI-recognized research section 22 academic interests including visual rhetoric and design education Administrative roles: Coordinator of Advertising and Public Relations Vice-Dean of Students (2 terms) Director of Research Transfer Office President of Doctoral Committee Contact: fernando.suarez@usal.es

• Machine Learning
• Data Mining
• Artificial Intelligence
• +۴ مورد دیگر

Meltem Yıldirım İmamoğlu is an Assistant Professor in the Department of Software Engineering at International Cyprus University. Her research focuses on adaptive neural networks, evolutionary algorithms, and data mining techniques for multi-dimensional and multi-view datasets. Research Interests: Evolutionary parameter optimization for unsupervised learning models Multi-view association rule mining using neural clustering Rule-based decision systems for software engineering applications Publication Trends: Recent work includes (1) PTGNG for parameter tuning in the Growing Neural Gas algorithm (2023), (2) MARCMV for multi-view rule extraction (2023), and (3) a decision support system for programming language selection (2017). These studies highlight expertise in neural networks, data mining, and evolutionary computing.

Ahmed Rezineمشاهده پروفایل

مدرس ارشد

• Computer Science
• Software Verification
• Machine Learning
• +۷ مورد دیگر

Ahmed Rezine is a Senior Lecturer and Associate Professor at the Department of Computer Science (IDA) , specifically within the Software and Systems (SAS) division at Linköping University . His research focuses on software verification , machine learning , and cybersecurity , particularly in the context of deep neural networks and embedded systems . Research Trends: His recent publications, such as VNN: Verification-Friendly Neural Networks (2024) and Trojans in Instruction Sets (2024), highlight his work at the intersection of AI robustness and hardware security . Earlier studies (2023-2017) emphasize formal verification of concurrent systems and GPU architectures , reflecting a consistent focus on parameterized systems and security analysis . Colleagues & Collaborations: Rezine collaborates with researchers in the Software and Systems group, part of the Wallenberg Autonomous Systems Program (WASP) . His work intersects with AI IDA and Embedded Systems (ESLAB) , focusing on autonomous systems and real-time processing .

• Information Retrieval
• Data Science
• Quantum-inspired Information Retrieval
• +۲ مورد دیگر

Massimo Melucci serves as Associate Professor of Computer Science at the University of Padua's Department of Information Engineering, maintaining an active research and teaching profile with office location in Building DEI/G, Room 312, Padova, Italy. His instructional responsibilities include undergraduate Information Retrieval and Databases courses, alongside graduate-level Computing Methods for Data Science instruction, complemented by freely available lecture notes on information retrieval fundamentals. His research program centers on two pioneering domains: Quantum-inspired Information Retrieval , where he develops mathematical frameworks applying quantum probability to model contextual relevance and interference effects in search systems, and Algorithmic Fairness , investigating trade-offs between ranking effectiveness and equitable outcomes. These threads converge in his exploration of fairness-effectiveness optimization through eigensystems and variation modeling, while his interdisciplinary work extends into diving medicine neurophysiology , analyzing EEG-based brain connectivity disruptions in professional divers under hyperbaric conditions. Recent publication analysis (2020-2025) reveals three dominant trajectories: quantum-inspired neural architectures for multimodal sentiment analysis, rigorous fairness-effectiveness quantification in ranking algorithms, and biomedical applications of signal processing in extreme environments. He actively fosters academic collaboration through initiatives like the BIRDS workshop series and CIRCLE conference, which bridge information science, retrieval, and data science communities. His work demonstrates consistent innovation in applying non-classical probability models to information access challenges while maintaining strong connections to real-world applications in both search technology and human safety.