جست‌وجوی استاد و پژوهشگر

• Scientific Visualization
• Data Visualization
• Computer Graphics
• +۴ مورد دیگر

Pere Pau Vázquez Alcocer is an Associate Professor in the Department of Computer Science at Universitat Politècnica de Catalunya (UPC), affiliated with the ViRVIG research group and the School of Informatics (FIB). With a PhD in Software from UPC (2003), he specializes in Scientific Visualization , Data Visualization , and Virtual Reality applications. His work bridges Computer Graphics with Medical Data Visualization and Molecular Visualization , emphasizing AI applications to visualization . His research spans two decades, focusing on Interactive volume rendering VR-based biomedical analysis Perceptual optimization in visualizations Urban mobility data modeling with recent publications in Computer Graphics Forum , IEEE CG&A , and arXiv on AI-driven visualization frameworks and molecular interaction techniques. His 15 most recent publications (2025-2023) demonstrate trends in AI integration for data visualization, immersive analytics for biomedical applications, and optimization of rendering techniques on mobile and VR platforms, with keywords spanning Computer Science , Neuroscience , and Urban Planning . Awarded the Best PhD thesis (2003) and Best Paper at international conferences, he has supervised 8 PhD students including Pedro Hermosilla (now Assistant Professor at TU Wien) and Jesús Díaz (now Associate Professor at Universitat de Vic). Teaching for over 20 years at UPC across five schools, he currently leads courses in Data Visualization , Scientific Visualization , and Virtual Reality .

Agron Çaushiمشاهده پروفایل

دانشیار

• Economic Sciences
• Information Systems
• E-Government
• +۶ مورد دیگر

Agron Çaushi is an Associate Professor at the Faculty of Business and Economics, South East European University, Tetovo, North Macedonia. With a PhD in Economic Sciences (2017) and an MSc in Information Systems (2007), his work bridges economic theory, information systems, and digital transformation. His career has focused on e-Government, business analytics, and AI applications in education and organizational efficiency. Education: PhD in Economic Sciences (2017), Master of Science in Information Systems (2007), Bachelor of Arts in Business Administration (2005) Research interests include the socio-economic impact of digital technologies, ERP systems, AI ethics in education, and sustainable development through digitalization. Recent publications analyze AI's role in higher education, robotics in renewable energy, and e-Government maturity models. His work combines empirical studies with comprehensive reviews, often collaborating with regional institutions. Publications span topics like ERP evolution , AI in education , cloud healthcare , and robotics , reflecting his interdisciplinary approach. Co-authored works frequently address policy implications and technological integration in public and private sectors.

• Facial Expression Analysis
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Academic Overview Kristin Surpuhi Benli currently serves as an Assistant Professor in the Department of Software Engineering at Uskudar University's College of Engineering. With a research focus spanning facial expression analysis, machine learning applications, and data mining in medical contexts, her work bridges computational methods with interdisciplinary applications. Education Undergraduate Degree: Computer Engineering, Işık University (2005) Master Degree: Computer Engineering, Işık University (2007) Doctorate: Computer Engineering, Işık University (2013) Research Interests Her research spans multiple dimensions of computational science: Developing anatomically-informed facial expression recognition systems Applying machine learning to medical prognosis through blood test analysis Investigating programming self-efficacy in computer science education Exploring AI adoption in neuroscience and clinical decision-making Implementing image processing techniques for brain tumor detection Academic Contributions Dr. Benli has contributed to diverse research areas through her publications, including: Classification algorithms in stroke mortality prediction BERT-based stance detection in social media analysis Neuroscience applications of artificial intelligence Anatomical modeling for facial expression recognition Biometric data analysis through nearest neighbor methods Administrative Roles Deputy Head of Research Center (YAZAMER), since 2025 Member of Quality Commission (Faculty level), since 2023 Board Member of Faculty Administrative Council, since 2020 Deputy Head of Software Engineering Department, since 2019 She also maintains active student advisory roles and participates in various academic commissions.

Daniel Lowdمشاهده پروفایل

استاد

• Adversarial Machine Learning
• Statistical Relational AI
• Probabilistic Graphical Models
• +۴ مورد دیگر

Daniel Lowd is a Professor in the Department of Computer Science at the University of Oregon . He studies adversarial machine learning , probabilistic graphical models , and statistical relational AI , with applications to security and data poisoning defense. His research has been funded by the DARPA Media Forensics (MediFor) program (2016), and he received tenure in 2017. He co-organizes the annual Workshop on Tractable Probabilistic Modeling , including at ICML and IJCAI. Key research areas: Probabilistic AI, Adversarial Learning, Markov Logic Major collaborations: Javid Ebrahimi, Jonathan Brophy, Zayd Hammoudeh Recent publications include work on robust regression (SaTML 2023), influence estimation (JMLR 2023), and neural score estimation (ICML/NeurIPS 2021-2023). He maintains the Libra Toolkit for probabilistic models. As an active academic, he advises PhD students like Shivvrat Arya (now at UTD), Jonathan Brophy , and Zayd Hammoudeh . He advocates for faculty unionization and open science, and is a unicyclist in his free time.

Jacob O. Wobbrockمشاهده پروفایل

استاد

• Human-Computer Interaction
• Accessible Computing
• Mobile Computing
• +۵ مورد دیگر

Professor Jacob O. Wobbrock is affiliated with the University of Washington , where he holds a position in the Information School and a courtesy role in the Paul G. Allen School of Computer Science & Engineering . He co-founded the DUB Group and MHCI+D degree , and serves as Interim Director of the MHCI+D program. As director of the ACE Lab and Founding Co-Director Emeritus of the CREATE Center , he leads research in human-computer interaction (HCI) and accessible computing . Education : B.S. in Symbolic Systems (1998), M.S. in Computer Science (2000), Ph.D. in Human-Computer Interaction (2006) Research Focus : Input techniques, performance modeling, mobile and accessible computing, VR, and gesture recognition Awards : ACM Fellow (2021), CHI Academy (2019), NSF CAREER (2010), ICMI/ASSETS/UIST Lasting Impact Awards His 15 most recent articles (2023-2025) explore AI-powered accessibility solutions, tactile 3D modeling, mobile reading adaptations, gesture recognition for motor impairments, and screen reader integration. These works span human-computer interaction , artificial intelligence , biomedical data analysis , and inclusive design in both academic and industry contexts. Scientific honors include the SIGCHI Social Impact Award and AMiner Most Influential Scholar rankings. As an entrepreneur , he co-founded AnswerDash (acquired by CloudEngage) and has contributed to patents and expert witness cases. His teaching and advising have produced doctoral graduates now at institutions like Harvard and CMU, though specific student names are not listed in this profile.

Diarmuid O'Donoghueمشاهده پروفایل

استادیار

• Computational Creativity
• Analogical Reasoning
• Natural Language Processing
• +۴ مورد دیگر

Diarmuid O'Donoghue is an Assistant Professor in the Faculty of Science & Engineering at Maynooth University, specializing in Computational Creativity and Analogical Reasoning . His research explores topological similarities between text and source code to develop cognitively inspired systems for problem-solving and bias detection. Co-PI of the Modelling implicit bias project (€21/FFP-P/10118) Senior Scientific Coordinator for the €2.6M EU-funded Dr Inventor project Key research areas include: Latent homomorphism detection in lexical data Comparative analysis of LLMs and analogical systems Formal specification generation from code/text His work has shaped undergraduate project frameworks with ethical GenAI integration . Publications span ICCC , GECCO , and journals like Artificial Intelligence Review .

Iftikhar Ahmedمشاهده پروفایل

استاد

• Machine Learning
• Software Engineering
• Responsible AI
• +۶ مورد دیگر

Dr. Iftikhar Ahmed is a Professor of Software Engineering at the University of Europe for Applied Sciences (UE Innovation Hub) in Germany. He holds a Ph.D. in Engineering Sciences from Saarland University and a Master's in Computer Science from Albert Ludwigs University of Freiburg. As an active editorial board member for PeerJ Computer Science, Dr. Ahmed contributes to academic publishing and peer review. Education: Ph.D. in Engineering Sciences, Saarland University, Germany Master's in Computer Science, Albert Ludwigs University of Freiburg, Germany Dr. Ahmed's research spans Responsible AI , Explainable AI , and Social Network Analysis , with interdisciplinary applications in healthcare, finance, and digital governance. His work integrates machine learning and computational modeling to address real-world challenges. Recent publications highlight trends in AI ethics (healthcare equity in South Asia), natural language processing (citation context analysis), deep learning (stock market prediction), and scientific computing (emulsion stability modeling). These reflect his focus on explainability and cross-domain adaptability of AI systems.

Karolin Winterمشاهده پروفایل

استادیار

• Business Process Compliance
• Process Mining
• Natural Language Processing (NLP)
• +۲ مورد دیگر

Karolin Winter is an Assistant Professor at the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Her research focuses on business process compliance, process mining, and natural language processing (NLP) techniques. PhD in Computer Science from University of Vienna (2021) Research Interests: She specializes in digitalizing compliance management by bridging regulatory documents and process execution logs. Key areas include constraint discovery, predictive compliance monitoring, and exception handling in business processes. Recent Article Trends: Her work integrates NLP and process mining for automated compliance verification, deviation detection between external/internal regulations, and predictive monitoring of process-aware systems. 2021: Runner-up Best Dissertation Award (BPM 2021) 2020: Best Student Paper Award (ER 2020) Labs/Teams: Collaborates with the Information Systems group (IE&IS) at TU/e and international conference teams for CAiSE, BPM, and CBI.

Muhammed Kotanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Software
• Image Processing
• +۱۳ مورد دیگر

Muhammed Kotan is an Assistant Professor at the Department of Information Systems Engineering , Sakarya University , where he has served since 2022. His academic career includes roles as a Research Assistant (2011–2022) at Sakarya University and Afyon Kocatepe University. He holds a PhD in Computer and Information Engineering (2020), an MSc in Computer and Information Engineering (2014), and a BSc in Computer Engineering (2011) from Sakarya University. Research Interests : Artificial Intelligence, Computer Software, Image Processing, Machine Learning, Computer Vision, Medical Imaging, Energy Efficiency Optimization, Natural Language Processing, Sentiment Analysis, Feature Selection, 3D Reconstruction, Industrial Machine Detection, Optimization Algorithms, Real-Time Systems, User Reviews Analysis, E-Commerce Analytics. Key Contributions : Developed hybrid methods for 3D reconstruction and industrial machine defect detection, optimized tow train routing in manufacturing, and applied Marine Predators Algorithm for mental health screening. Scientific Recognition : Awarded the Eğitim Öğretimde Üstün Başarı Ödülü by Sakarya University (2024). Served as editor for the Sakarya University Journal of Computer and Information Sciences (2023–2024) and peer reviewer for journals like Signal, Image and Video Processing and Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi . Advising : Co-advisor for TÜBİTAK projects (2022–2024) and supervised student research on topics like cosmetic product recognition, natural language processing, and sentiment analysis. Designed courses in Digital Image Processing, Text Mining, and Advanced Information Systems.

Khaled R. Ahmedمشاهده پروفایل

دانشیار

• Big Data
• Deep Learning
• Parallel Computing
• +۶ مورد دیگر

Khaled R. Ahmed is an Associate Professor and Graduate Program Director at the School of Computing, Southern Illinois University. He serves as Director of the Big Data & Software Engineering Lab (BASE Lab), focusing on software engineering support for big data systems and deep learning algorithms. His research bridges computer science with practical applications in agriculture, safety, and environmental monitoring. Dr. Ahmed's research interests center on Big Data Software Engineering, Deep Learning, Parallel and Distributed Computing, and Computer Vision. His laboratory collaborates extensively with the agriculture college on precision agriculture projects, securing federal funding from USDA-NIFA for research on livestock monitoring and crop analysis. His work demonstrates a clear trajectory from foundational distributed systems research to applied deep learning solutions for real-world problems. His recent publications reveal a strong focus on agricultural applications of computer vision, including weed detection systems, livestock methane emission monitoring, and soybean growth stage analysis. The BASE Lab has developed innovative approaches using Vision Transformers, DETR, and RetinaNet for precision agriculture applications, with several papers published in top venues like CVPR and IEEE Transactions. USDA-NIFA Research Award for Detecting Subacute Ruminal Acidosis USDA-NIFA Research Award for Artificial Intelligence for Greener Livestock Illinois Innovation Network Seed Grant Outstanding Achievement Award at World Congress in Computer Science (2020) Dr. Ahmed has successfully mentored numerous graduate students, with several receiving Outstanding Thesis Awards. His BASE Lab actively recruits Ph.D. and MSc students with backgrounds in Deep Learning, Big Data, and Software Engineering. He maintains international connections through Fulbright programs, particularly with researchers from India and Egypt interested in AI and Deep Learning applications. The BASE Lab maintains strong industry and research collaborations, particularly in precision agriculture where computer vision techniques are applied to solve practical farming challenges. Current projects include real-time video analysis systems for safety applications, drone-based monitoring for natural disaster recovery, and weapon detection systems for public safety.

Tessa Cookمشاهده پروفایل

استادیار

• Clinical Decision Support
• Clinical Systems
• Data Integration
• +۴ مورد دیگر

Tessa Cook is an Assistant Professor of Radiology whose work bridges artificial intelligence, clinical systems, and medical education. She focuses on clinical decision support, data integration, and human-computer interaction within radiology workflows. Research Interests: Clinical decision support, data mining, imaging informatics, and generative AI applications in radiology Education: Not explicitly mentioned in text Awards: None listed Recent publications highlight trends in AI governance, LLM implementation, and patient-centered radiology. Her work emphasizes ethical AI development, workflow optimization, and democratizing access to radiology education tools via generative models. No formal advising or grant details were specified in the provided text.

Paul Sheridanمشاهده پروفایل

استادیار

• Text Analysis
• Ontologies
• Computational Literary Studies
• +۶ مورد دیگر

Paul Sheridan is an Assistant Professor at the School of Mathematical and Computational Sciences, University of Prince Edward Island, specializing in text analysis and ontologies for computational literary studies. He develops novel term weighting schemes through statistical significance testing to improve document retrieval, classification, and summarization methods. His Literary Theme Ontology (LTO) provides the first controlled vocabulary of literary themes for media annotation and information retrieval. Research Grants: AI/machine learning for engine maintenance (2024), keyword extraction efficacy analysis (2023–2024), GPT-2 unnatural language generation (2022–2025) Academic Leadership: Statistics and Analytics Program Lead (2024–present), ACENET Research Directorate member His recent publications focus on lexical diversity analysis, term dispersion quantification, and statistical foundations of TF-IDF. He supervises students in projects spanning energy-efficient NLP, causal inference in finance, and low-resource language embeddings. Paul actively contributes to open-source projects like stoRy and PAFit packages.

Melissa Terrasمشاهده پروفایل

استاد

• Digital Cultural Heritage
• Digital Humanities
• Handwritten Text Recognition
• +۵ مورد دیگر

Professor Melissa Terras MBE FREng is Professor of Digital Cultural Heritage within Design Informatics at Edinburgh College of Art, University of Edinburgh. With over 25 years of experience producing award-winning digital projects in the Gallery, Library, Archive, and Museum (GLAM) sector, she directs impactful initiatives including Creative Informatics (an AHRC-funded creative cluster) and co-founded Transkribus, an AI platform for handwritten text recognition. Her research centers on digital cultural heritage infrastructure, where she examines AI ethics, copyright challenges in digitization (particularly orphan works), and the critical role of art schools in driving technological innovation. She investigates how handwritten text recognition transforms access to historical materials while addressing digital justice and bias in heritage data systems. Recent publications (2024-2025) reveal a cohesive focus on sustainable digital infrastructure through cooperative models like READ-COOP, ethical AI deployment in cultural contexts, and data-driven innovation in creative industries. Her work bridges technical development with critical policy analysis, emphasizing community governance and responsible technology design. Her scientific recognition includes: MBE (Member of the Order of the British Empire) FREng (Fellow of the Royal Academy of Engineering) Terras secured major funding as Director of Creative Informatics, fostering collaborations between Edinburgh's creative sector and academia. Her Transkribus platform, developed through European partnerships, exemplifies her commitment to sustainable digital infrastructure. She actively shapes national policy through contributions to UK government consultations on AI and copyright. As founding director of Transkribus and READ-COOP cooperative, she leads community-governed infrastructure development. Her work with Creative Informatics established frameworks for data-driven innovation in Scotland's creative industries, emphasizing equitable participation and ethical data practices.

Paolo Palmieriمشاهده پروفایل

مدرس

• Cryptography
• Privacy
• Security
• +۴ مورد دیگر

Paolo Palmieri serves as a Lecturer in Cyber Security at University College Cork (UCC) and a Funded Investigator at CONNECT, the SFI Research Centre for Future Networks and Communications. He additionally holds roles as a Funded Investigator in Insight (SFI Research Centre for Data Analytics) and Supervisor for the SFI Centres for Research Training (ADVANCE and AI), while maintaining an External Affiliate position at the University of Bologna's Smart City Lab. His academic foundation includes a PhD in Cryptography from Université catholique de Louvain (UCLouvain), Belgium (2013), preceded by lecturing positions at Bournemouth and Cranfield Universities in the UK and postdoctoral research at Delft University of Technology in the Netherlands prior to joining UCC in 2017. Dr. Palmieri's research centers on cryptographic protocols for privacy and security , with pioneering contributions in secure multi-party computation on communication delays, homomorphic encryption, and location privacy systems. His location privacy protocols are actively deployed in satellite monitoring and smart transportation applications. He chairs two major international workshops: Malicious Software and Hardware in Internet of Things (Mal-IoT) and the Location Privacy Workshop (LPW) , demonstrating leadership in specialized cryptographic communities. Analysis of his 2024-2025 publications reveals a strong trajectory toward practical cryptographic implementations addressing critical infrastructure needs. Key thematic clusters include quantum-safe authentication for industrial control systems, health data privacy frameworks (particularly for ECG data), blockchain security for e-auctions and healthcare systems, and VANET security protocols. His work consistently bridges theoretical cryptography with real-world challenges, notably through empirical evaluations of differential privacy effectiveness and privacy-preserving machine learning architectures. As a research leader, he serves as Principal Investigator and co-Investigator for multiple projects funded by Science Foundation Ireland (SFI), Enterprise Ireland, and the Disruptive Technologies Innovation Fund. His supervision extends through the SFI Centres for Research Training (ADVANCE and AI), where he mentors next-generation cybersecurity researchers in data analytics and artificial intelligence applications. He maintains extensive international collaborations spanning over 10 countries, anchored by his External Affiliate role at the University of Bologna's Smart City Lab. His work within CONNECT and Insight research centres positions him at the forefront of Ireland's national cybersecurity research infrastructure, with growing influence in European health data privacy initiatives through the European Health Data Space framework.

• Computer Science Education
• Computational Thinking
• STEM Education
• +۲ مورد دیگر

Dr. Anita Juškevičienė is a Senior Researcher at the Educational Systems Group of Vilnius University's Institute of Data Science and Digital Technologies. Her work focuses on computational thinking, STEM education, and digital competence development. Research Interests : Computational thinking in primary/secondary education, STEAM integration, gender balance in STEM, educational technology adoption, and digital competence frameworks. Publications Trends : Recent work addresses pedagogical approaches for informatics education, teacher motivation, physical computing in STEM, and data modeling techniques for educational systems. Supervision : Currently supervising Snow White Bagocienė on modeling automatic assessment systems for design thinking. Projects : Active in analyzing global trends in computing education and implementing mobile learning scenarios for computer engineering training.