جستجوی استاد راهنمای دانشگاهی

Dr. Muhammad Humayoun is a Senior Lecturer at Karlstad University, Sweden, specializing in informatics education and computational linguistics research. He holds a Ph.D. from University of Grenoble Alpes (2012) and M.Sc. from Chalmers University (2006). His academic career spans over 15 years across Pakistan and Sweden, including teaching roles at COMSATS University, University of Central Punjab, and Higher Colleges of Technology. Research Focus: His work centers on NLP applications for under-resourced languages like Urdu/Punjabi, including text summarization, abusive language detection, and formalization of mathematical texts. He has developed linguistic resources (corpora, lexicons) and contributed to plagiarism detection systems in programming courses. Teaching Contributions: Designed and taught over 15 courses across multiple universities, including advanced programming, AI, and cloud computing modules. Currently teaches graduate-level courses like 'Legal Tech, AI and Rules-as-Code' and undergraduate software engineering courses at Karlstad University. Awards: Recognized for Urdu threat detection system (3rd place, 2021) and top rankings in Urdu fake news competitions. His work on Urdu summarization corpora has been widely cited in computational linguistics research.

• Machine Learning
• Computational Linguistics
• Natural Language Processing
• +۵ مورد دیگر

Ehsan Doostmohammadi is a Researcher at the Artificial Intelligence and Integrated Computing Systems (AIICS) department of Linköping University . His work focuses on Natural Language Processing (NLP) and Language Model Optimization , with particular interest in Retrieval-Augmented Models , Multimodal Learning , and Low-Resource Language Processing for Persian and Swedish. Research Interests : Retrieval-Augmented Language Models Swedish Language Processing Persian Language Technology Medical Text Analysis Cross-lingual Transfer Learning Publications : 15 recent articles spanning 2018–2025 Key themes: AI , NLP , Language Model Efficiency

• Artificial Intelligence
• Natural Language Processing (NLP)
• Language Models
• +۵ مورد دیگر

Vera Danilova is a Postdoctoral Research Fellow at Uppsala University's Department of History of Science and Ideas, specializing in computational approaches to historical text analysis. Her work bridges digital humanities and natural language processing, with a focus on extracting meaningful patterns from historical periodicals and archives. Her primary research interests include: Genre classification in historical magazines (1875-1990) Post-OCR correction using large language models Cross-genre transfer learning in dependency parsing Topic modeling for medical history periodicals Development of multilingual NLP resources Recent publications reveal a strong trajectory in applying machine learning to historical document analysis, particularly in genre identification and text restoration for German and Russian periodicals. Her work frequently addresses challenges in historical OCR output and develops specialized tools like UD-MULTIGENRE for linguistic annotation. No scientific awards were documented in the provided sources. Information regarding academic advising, grant funding, or laboratory affiliations was not present in the available materials.

• Computational Linguistics
• Digital Humanities
• Historical Text Analysis
• +۴ مورد دیگر

Kostiantyn Kucher is an Associate Professor/Senior Lecturer at Linköping University's Department of Science and Technology, specializing in Information Visualization and Visual Analytics. He holds a PhD from Linnaeus University (2019) and MSc/BSc from Odessa National Polytechnic University (2012/2010). His research focuses on text visualization, sentiment analysis, network visualization, and explainable AI, with applications in climate adaptation and human-AI collaboration. He co-leads the iVis group and organizes GD 2025 conference. Awards include EuroVis Early Career (2025) and multiple Best Reviewer distinctions. Research : Explores text visualization (Text Visualization Browser), stance analysis (StaViCTA), and VA+Embeddings for AI transparency. Active in EU-funded projects like AI4REALNET and InfraVis. Recent work includes climate data visualization (EuroVis 2025) and trust in industrial AI interfaces. Awards : Early Career Award (EuroVis 2025) Best Reviewer (EuroVis 2025, 2023) Best Poster (EuroVis 2018) Grants & Projects : Leads InfraVis (Swedish national visualization infrastructure) and collaborates on AI4REALNET (critical infrastructure networks) and Testbed Air Mobility (UAV systems). Labs/Teams : iVis group at Linköping, focusing on visual analytics and human-Automation teaming. Active in ELLIIT Focus Period on Visualization-Empowered AI.

• Information Visualization
• Visual Analytics
• Text Mining
• +۵ مورد دیگر

Dr. Sriparna Saha is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Patna, India. She holds a Ph.D. from the Indian Statistical Institute Kolkata and has held leadership roles including Head of Department (2021-2023) and Associate Dean for Research and Development (2019-2021). Her research focuses on AI, machine learning, natural language processing, bioinformatics, and multiobjective optimization. She has authored over 400 publications with an h-index of 38 and received awards such as the NASI Young Scientist Platinum Jubilee Award and Google India Women in Engineering Award. Her work spans multimodal systems, medical image analysis, and computational social systems. Education: M.Tech (2005) and Ph.D. (2011) in Computer Science from Indian Statistical Institute Kolkata. Research Interests: Multimodal information processing, NLP, machine learning, bioinformatics, and optimization techniques. Awards: Includes Lt. Rashi Roy Memorial Gold Medal, BIRD Award, and multiple fellowships (Humboldt, CNRS, etc.). Administrative Roles: IEEE Student Branch Councilor, Senate Member, and Visvesvaraya Nodal Officer at IIT Patna. Her recent work includes advancements in multimodal recommendation systems, breast cancer prognosis models, and computational social systems for crisis management. She has also contributed to hate speech detection in multilingual contexts and medical imaging diagnostics.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر