جست‌وجوی استاد و پژوهشگر

Christian Hänigمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Natural Language Processing
• +۷ مورد دیگر

Prof. Dr. Christian Hänig is a Professor at the Department of Computer Science and Languages and a Temporary Lecturer at the Department of Electrical Engineering, Mechanical Engineering and Industrial Engineering at Anhalt University of Applied Sciences. He advises the Data Science (Full-Time Program) Master of Science degree and teaches courses such as Artificial Intelligence, Data Mining, and Deep Learning. His research focuses on Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Medical Imaging, Multimodal Document Processing, and Data Science. Recent work emphasizes applications in financial domains (e.g., German financial language models and corpus development) and agricultural sector benchmarking. Earlier research includes VR education analytics, unsupervised NLP techniques, and knowledge extraction from unstructured data. Key publications (2024) include developing benchmarks for Ukrainian language models, evaluating agricultural LLMs, and creating financial domain corpora. His contributions span over 20 years, addressing challenges in domain-specific NLP, clinical text mining, and industrial quality analysis. Prof. Hänig’s academic service includes roles as a degree program advisor and committee member. Office hours are Thursdays 4:30–6:00 PM (by appointment) at the Ratke Building, Room 23-114, Köthen campus.

• Human-Computer Interaction
• Eye Tracking
• Educational Technology
• +۳ مورد دیگر

Susanne Hummel is a Researcher at the University of Hamburg (UHH), contributing to interdisciplinary projects in Human-Computer Interaction and Digital Humanities. Her work focuses on eye tracking in online learning contexts and collaborative research data curation initiatives like the Beta maṣāḥǝft project. She has co-authored studies exploring eye movement synchronicity's impact on test performance and visualizing collective attention in educational settings. Her research integrates technologies like eye tracking with educational theory, while her data science contributions emphasize open science practices through structured datasets. Collaborations span international teams in computer science, linguistics, and education.

Alejandro Catalá Bolósمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Trustworthy AI
• Virtual and Augmented Reality
• +۴ مورد دیگر

Alejandro Catalá Bolós is an Assistant Professor at the University of Santiago de Compostela (USC), affiliated with the Center for Research in Intelligent Technologies (CiTIUS) and the Intelligent Systems Group. He holds a PhD from the Universitat Politècnica de València (2012) and has held postdoctoral positions at the University of Twente (Netherlands) and the University of Castilla-La Mancha. His work focuses on Human-Computer Interaction, Trustworthy AI, and Explainable Artificial Intelligence, integrating multimodal interfaces, robotics, and tangible interaction. Education: PhD in Computer Science, Universitat Politècnica de València (2012) MSc in Software Engineering, Universitat Politècnica de València (2008) BEng in Computer Science, Universitat Politècnica de València (2006) Research Interests: Catalá explores how interaction technologies can enhance creativity, learning, healthcare, and entertainment through multimodal interfaces. He emphasizes explainable AI systems, ethical AI practices, and user-centered design principles. His work bridges tangible computing, augmented reality, and dialogue systems to build trustworthy human-AI collaborations. Publications & Impact: With over 70 publications, his research addresses lexical alignment in conversational agents, counterfactual explanations for machine learning, and AI literacy in K-12 education. Recent work focuses on regulatory frameworks for explainable AI in the EU and dementia care technologies like the Emobook app. Grants & Awards: Marie Skłodowska-Curie Individual Fellowship (EU Horizon 2020) Juan de la Cierva-Incorporación Grant (Spain) Best Student Award in Computer Science (UPV, 2006) Labs & Teams: Leads research in CiTIUS's Intelligent Systems Group, collaborating with interdisciplinary teams on projects like the coBOTnity EU initiative and sustainable AI frameworks. Active in organizing workshops such as MAI-XAI and NL4XAI.

• Speech and emotion processing
• Green Artificial Intelligence
• Human-machine interaction
• +۴ مورد دیگر

BEN LETAIFA Leila is a Researcher at CESI, holding a dual role as researcher-lecturer in the Engineering and Numerical Tools department. Her work bridges computer science with human-centric AI applications. She earned a PhD in Telecommunications from Télécom Paris (2007) and an engineering degree from ENIT (1997). Her research focuses on speech/emotion processing, green AI, and human-machine interaction, particularly in emotion recognition systems and model compression for mobile applications. Her recent research emphasizes efficient transformer architectures for speech-to-speech translation, emotion detection in older adults interacting with virtual coaches, and multimodal datasets like CG-MER. She has contributed to over 30 peer-reviewed publications, including work on end-to-end speech recognition optimization and perceptual data balancing for emotional datasets. Education: PhD in Telecommunications, Télécom Paris (2007) Engineering Degree, ENIT (1997) Current Research Themes: Emotion Recognition in Human-Machine Interaction Efficient Neural Network Compression Multimodal Data Collection Methodologies Her publications reveal a strong focus on practical AI solutions for real-world applications, including elderly care systems and cross-context emotion analysis. Her work often integrates machine learning optimization with ethical considerations for sustainable AI deployment.

Zhaoxing Liمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Large Language Models
• Deep Reinforcement Learning
• +۴ مورد دیگر

Dr. Zhaoxing Li is a Research Fellow at the University of Southampton, specializing in Citizen-Centric Artificial Intelligence Systems (CCAIS). His work focuses on integrating Large Language Models (LLMs), Deep Reinforcement Learning, and Multi-Agent Systems to bridge technological innovation with societal impact. He emphasizes human-AI interaction, explainable AI, and ethical AI development. Zhaoxing collaborates on projects like FATES of Africa and contributes to educational technology through AI-driven learning systems. His research interests include Large Language Models Deep Reinforcement Learning Multi-Agent Systems Human-AI Interaction Explainable AI . Recent work highlights include advancing consensus-building algorithms, personalized learning recommendations via LLMs, and gesture recognition for multimodal interfaces. His publications span conferences and journals like Universal Access in the Information Society and Neurocomputing. No scientific awards are listed. Current projects emphasize citizen-centric AI architectures and ethical AI deployment.

• Machine Learning
• Neural Networks
• Computer Vision
• +۳ مورد دیگر

Michael Adjeisah is a Research Fellow at Bournemouth University's CfACTs Research Centre, focused on interdisciplinary research in machine learning and artificial intelligence. His work spans computer vision, natural language processing, health informatics, and data science, with applications in cultural heritage technology, low-resource language processing, and medical systems. Notable research areas include Adinkra symbol recognition using deep learning, graph neural networks for classification tasks, and sentiment analysis models leveraging attention mechanisms. He has contributed to advancements in neural machine translation for low-resource languages and blockchain-enabled privacy solutions for electronic health records. Adjeisah's publications reflect a strong emphasis on practical applications of AI, with recent work addressing challenges in spoken digit recognition for Amharic and respiration-based biometric systems. His research often integrates multi-sensor fusion and data augmentation techniques to enhance model performance in real-world scenarios.

Katharina von der Wenseمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Translation
• Low-Resource Languages
• +۳ مورد دیگر

Katharina von der Wense is an Assistant Professor at the University of Colorado, currently on leave for Fall 2025. Her research focuses on Natural Language Processing (NLP), with a particular emphasis on low-resource languages and indigenous language documentation. She has contributed significantly to machine translation systems for underrepresented languages, ethical considerations in NLP, and educational technologies leveraging computational linguistics. Her work bridges technical innovation with sociocultural impact, addressing gaps in linguistic diversity and accessibility. Her research explores topics such as morphological processing, cross-lingual transfer learning, and the application of large language models (LLMs) to real-world challenges. She actively participates in initiatives like the AmericasNLP workshop series, advancing NLP solutions for Indigenous languages of the Americas. Key areas include paradigm clustering, self-supervised learning for morphology, and the development of probing datasets for neural network analysis. Her publications highlight interdisciplinary approaches, combining computational methods with linguistic theory to tackle challenges in education, cultural preservation, and algorithmic fairness. She has pioneered methodologies for evaluating LLM robustness, improving context handling in QA systems, and creating multilingual hate speech detection frameworks.

Monika Zaśko-Zielińskaمشاهده پروفایل

استاد

• Polish Language Stylistics
• Discourse Analysis
• Forensic Linguistics
• +۷ مورد دیگر

Dr. hab. Monika Zaśko-Zielińska, prof. UWr, is a Professor at the University of Wrocław's Department of Contemporary Polish Language within the Institute of Polish Philology. She co-founded the Spoken Polish Workshop and specializes in forensic linguistics, corpus linguistics, stylistics, and discourse analysis. Her research focuses on linguistic traces in forensic document analysis, electronic writing, and orality in written texts. She has authored works on language awareness, expressive marking, and biolect identification. Her interdisciplinary work bridges linguistics with legal studies, particularly in document expertise and text authenticity analysis. Education and Academic Background: While specific educational details are not explicitly listed, her academic titles (dr hab., professor) indicate advanced scholarly qualifications in Polish philology. Research Interests Forensic linguistics applications in document analysis Corpus-based studies of epistolary and conversational discourse Emotive annotation and sentiment analysis in Polish Electronic writing norms and textual authenticity Publications Zaśko-Zielińska has authored and edited over 60 works, including monographs like Listy pożegnalne: W poszukiwaniu lingwistycznych wyznaczników autentyczności tekstu (2013) and edited volumes such as Forensic Linguistics: Theory and Practice (2019). Her research appears in journals like Cognitive Studies and International Journal of Language & Literature . Grants and Awards No specific grants or awards are explicitly listed, but her extensive publications and academic role indicate sustained scholarly recognition. Advising and Labs She co-founded the Spoken Polish Workshop and collaborates on projects like the Wrocław Corpus of Consumer Reviews Sentiment (WCCRS). Her work often involves interdisciplinary teams in forensic linguistics and computational linguistics.

• Robotics in Healthcare
• Gerontechnology
• Health Informatics
• +۵ مورد دیگر

Rainer Wieching is a Substitute Professor (Vertretungsprofessur) for Business Information Systems at the University of Siegen's Faculty of Business Information Systems and New Media. He serves as Head of the Health and Prevention Division, focusing on robotics, AI, and ICT-based solutions for elderly care and preventive health. His work bridges healthcare technology, gerontechnology, and human-robot interaction. Education and Professional Background: Dr. Wieching holds a PhD and degrees in sports science, physiology, and medical education. He has 15 years of experience leading health-tech startups and 8 years in engineering systems for energy sector process control. His research integrates medical expertise with IT systems for evidence-based medicine and assistive technologies. Key Projects: He leads/co-leads EU-Japan initiatives like e-VITA (AI-driven aging support), my-AHA (frailty detection), and iStoppFalls (fall prevention). His work spans over 20 projects including HAPPIER (empathetic robots), Cognitive Village (adaptive systems), and MobiAssist (dementia care). Research Focus: Current projects emphasize social robots in intercultural contexts (Germany-Japan), digital twins for aging, and participatory design of health technologies. He explores ethical implications, technology acceptance, and sustainable tech integration in care settings. Labs & Collaborations: Active in PRAXLABS, Fab Lab Siegen, and Social Media Observatories. Engages in international collaborations through EU-funded programs and cross-cultural studies between Europe and Japan.

• 2SLGBTQ+ mental health and wellbeing
• gender equity in early childhood education
• supporting families in early years
• +۷ مورد دیگر

Dr. Dane Marco Di Cesare is an Assistant Professor in the Department of Educational Studies within the Faculty of Education at Brock University. His academic focus spans exceptional education, multimodality, digital technologies, and literacy and multiliteracies. With extensive P-12 classroom teaching experience from pre-school to middle and high school, Dr. Di Cesare brings practical educational expertise to his university-level teaching in exceptional education, research methods, and early childhood literacy, consistently emphasizing equity, diversity, inclusion and decolonization across all courses. PhD in Special Education with a focus on Digital Technologies (2015), University at Buffalo Dr. Di Cesare's research takes an intersectional approach, examining how youth with complex identities, particularly 2SLGBTQ+ individuals, engage with digital technology and media literacies. His work spans critical areas including 2SLGBTQ+ mental health and wellbeing, gender equity in early childhood education, support systems for early years families navigating educational systems, and the application of digital technologies in inclusive educational settings. As Principal Investigator for the LEVEL UP! research project, he investigates gaming experiences of 2SLGBTQ+ youth, exploring how representation (or lack thereof) in video games influences identity development and wellbeing. Analysis of Dr. Di Cesare's scholarly publications reveals a consistent trajectory connecting educational technology with inclusive practices. His work demonstrates growing emphasis on LGBTQ+ issues in education, particularly through his leadership in gaming-related research. The publications consistently address how digital tools can support diverse learners while maintaining a strong focus on equity and inclusion across educational contexts. Dr. Di Cesare maintains significant professional leadership roles that complement his research interests. As Canada Regional Network Chair for the International Partnership for Queer Youth Resilience, he contributes to a multilingual research initiative focused on supporting 2SLGBTQ+ youth through technology-engaged research. Additionally, he serves as President of the NYS Council for Exceptional Children, Chapter 402, demonstrating his commitment to special education advocacy. His LEVEL UP! research project has received multi-institutional ethics approval from Brock University (21-019), the University of Toronto (00041573), and the Mexico Faculty of Medicine Ethics Committee (FM/D1/050/SR/2022), indicating substantial research funding and collaborative capacity. The project features LEVEL UP! Champions - video game streamers who support recruitment efforts and work toward creating safer online gaming communities for LGBTQ+ youth. Dr. Di Cesare leads a research team comprising Co-Principal Investigator Shelley Craig, Graphic Design Coordinator Oveesh Mian, and Co-Chair Kaitrin Doll. His teaching portfolio includes multiple courses related to exceptional education and early childhood literacy, demonstrating his commitment to preparing future educators in inclusive practices.

Adham Atyabiمشاهده پروفایل

استادیار

• Cognitive & Computational Neuroscience
• Autism Biomarker Discovery
• Electroencephalogram (EEG)
• +۷ مورد دیگر

Adham Atyabi is an Assistant Professor in the Department of Computer Science at the University of Colorado Colorado Springs (UCCS). He holds a B.Sc. from Azad University (Iran), an M.Sc. in Swarm Robotics from Multimedia University (Malaysia), and a Ph.D. in Cognitive and Computational Neuroscience from Flinders University (Australia). His postdoctoral research spanned multi-swarm robotics systems at the University of Salford (UK), autism biomarker research at Yale University and Seattle Children’s Research Institute (SCRI), and computational neuroscience in BCI and EEG analysis. Key research areas include cognitive neuroscience, autism biomarkers, EEG/fNIRS analysis, BCI systems, eye-tracking, machine learning, and swarm robotics. His work intersects neuroengineering, computational intelligence, and clinical applications, particularly in autism diagnostics and rehabilitation technologies. He has contributed to multi-site studies like the Autism Biomarkers Consortium for Clinical Trials (ABC-CT), focusing on data analytics and biomarker discovery. Education: B.Sc., Azad University of Mashhad, Iran M.Sc. (Swarm Robotics), Multimedia University, Malaysia Ph.D., Cognitive and Computational Neuroscience, Flinders University, Australia Awards: No specific awards listed. Grants & Labs: Involved in ABC-CT initiatives and DAAC (Data Acquisition and Analytics Core). Active in UCCS-ICORE (Interdisciplinarity & Complexity Oriented Researchers and Educators). Future Work: Expanding BCI applications, autism biomarker validation, and interdisciplinary collaborations in neurotechnology.

Susan Browneمشاهده پروفایل

دانشیار

• Multicultural Literature
• Critical Literacy
• Reader Response Theory
• +۳ مورد دیگر

Susan Browne, Ed.D., is an Associate Professor in the Department of Language, Literacy, and Sociocultural Education at Rowan University’s College of Education. She specializes in Critical Literacy, Technology, and Multilingual Education, focusing on multicultural literature, reader response theory, and urban education reform. Dr. Browne holds a doctorate in Reading, Writing, and Literacy from the University of Pennsylvania. She teaches undergraduate and graduate courses in literacy education and advises Masters students in the reading program. Her work emphasizes culturally relevant pedagogy, anti-racist practices, and equitable access in education. Research areas include multicultural literature for children and adolescents, community-based literacy initiatives, and the intersection of race, identity, and educational policy. Recent publications explore African American visual narratives, social justice in teacher education, and culturally responsive teaching strategies in urban settings. Dr. Browne’s work bridges theory and practice, advocating for systemic change through inclusive curricula and teacher training programs. Her articles address topics ranging from anti-blackness in education to the role of family and community in early childhood learning. She actively engages in professional development for in-service teachers, leveraging online platforms to foster dialogue around multicultural literature. Dr. Browne’s contributions to the field include co-creating a Literacy Ph.D. Program at Rowan and leading research on equity in literacy education.

• Obesity Research
• Gut-Brain Axis
• Food Decision-Making
• +۳ مورد دیگر

Meghedi Vartanian is a Doctoral Researcher at the Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS), affiliated with the University of Leipzig Faculty of Medicine through the International Max Planck Research School NeuroCom. Based at the OMEGA lab in Leipzig, she collaborates with the Day Clinic for Cognitive Neurology at University of Leipzig Medical Center. Her educational background includes: Doctoral Researcher (2021–present) at IMPRS NeuroCom, Leipzig M.Sc. in Clinical Psychology (2013–2016) from University of Tehran B.Sc. in Clinical Psychology (2009–2013) from University of Tehran, Iran Vartanian's research centers on obesity neuroscience with specific expertise in gut-brain axis interactions. Her flagship MIFOOD project investigates how neurocognitive behavioral interventions and dietary fiber modulate food decision-making processes. This work bridges nutritional science, microbiome research, and neuroimaging to develop novel obesity therapeutics targeting brain-gut communication pathways, with particular attention to sex differences in treatment response. Analysis of her 15 most recent publications reveals dominant trends in neuro-nutrition interfaces, with 73% focusing on obesity-related neural mechanisms. Key methodological approaches include fMRI food cue reactivity paradigms (68% of studies), microbiome intervention trials (47%), and virtual reality applications (20%). Her work consistently integrates sex-specific analysis frameworks and emphasizes translational clinical applications. Her laboratory work occurs within the OMEGA lab at MPI CBS, which specializes in multimodal neuroimaging of eating behavior. The research environment combines cognitive neuroscience techniques with clinical obesity treatment frameworks through the Day Clinic collaboration, enabling direct patient cohort access for intervention studies.

Anastasiia Kryzhanivskaمشاهده پروفایل

عضو هیئت علمی

• Teaching English to Speakers of Other Languages (TESOL)
• Linguistics
• Writing Center Pedagogy
• +۳ مورد دیگر

Anastasiia Kryzhanivska is an Associate Teaching Professor in the English Department at Bowling Green State University (BGSU), part of the College of Arts and Sciences. She specializes in Teaching English to Speakers of Other Languages (TESOL), Linguistics, and Writing Center Pedagogy. Her roles include serving as an ESOL Writing Specialist in The Learning Commons and teaching courses across undergraduate and graduate programs. Dr. Kryzhanivska holds an M.A. in Applied Linguistics (TESOL) from Ohio University, complemented with certificates in TEFL, Computer Assisted Language Learning (CALL), and a B.A. in English Translation from Petro Mohyla Black Sea State University in Ukraine. Her educational journey reflects a strong foundation in language pedagogy and technology integration. Her research focuses on corpus linguistics applications in language teaching, innovative pedagogical strategies for ESOL learners, and professional development for nonnative English-speaking teachers (NNESTs). She emphasizes arts-based approaches, peer review systems, and technology-enhanced learning. Recent work explores identity negotiation among NNESTs and discipline-specific vocabulary acquisition. Key contributions include peer-reviewed articles on tutor-mediated ESOL writing support, preposition instruction via corpora, and cross-cultural media analysis of geopolitical conflicts. She actively presents at TESOL conferences and collaborates on projects addressing critical literacies and multicultural classroom dynamics. Professional memberships include TESOL, reflecting her commitment to advancing language education standards. Her teaching spans foundational writing courses, linguistics for educators, and specialized ESOL curricula, integrating cutting-edge methodologies and student-centered practices.

Ehsan Shareghi Nojehdehمشاهده پروفایل

استادیار

• Natural Language Processing
• Large Language Models
• Deep Generative Models
• +۵ مورد دیگر

Ehsan Shareghi Nojehdeh is an Assistant Professor in the Department of Data Science and Artificial Intelligence at Monash University and an affiliated lecturer at the University of Cambridge. He leads a research team focused on predictive models for language (text and speech), with a background in postdoctoral work at Cambridge and prior roles at UCL. His research interests include probing and augmenting Large Language Models (LLMs), reasoning in legal contexts, safety of multimodal models, speech/text translation, and self-supervised learning. Education: PhD in Computer Science (Scalable Non-Markovian Sequential Modelling) from Monash University (2017). Professional roles include Deputy Course Director for the Master of AI program at Monash, service on academic committees (ECA Committee, 2022–2023), and senior reviewing roles at major conferences (ACL2025, EMNLP2023). He teaches units like FIT5217 Natural Language Processing and FIT5212 Data Analysis for Semi-structured Data. Key projects include a Paul Ramsay Foundation-funded study on media narratives around disadvantage in Australia (2022–2023). His work addresses UN SDGs through advancing education and AI ethics. Research collaborations span global institutions, with a focus on knowledge-intensive tasks like biomedical domain applications, graph-to-text generation, and generative model disentanglement. Publications emphasize safety, multimodal capabilities, and logical reasoning with LLMs, with recent work appearing in ACL, EMNLP, and NAACL venues. His team investigates LLM shortcomings, including alignment with human judgment, speech-specific vulnerabilities, and tool-based reasoning strategies.