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Mandar GogateView profile

Research Fellow

• Audio-Visual Speech Enhancement
• Machine Learning
• Green Artificial Intelligence
• +5 more

Dr. Mandar Gogate is a Senior Research Fellow at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. He actively contributes to the Centre for Artificial Intelligence and Robotics, focusing on multimodal signal processing and AI applications. Research Themes: Audio-Visual Speech Enhancement, Green AI, Data Privacy, Hearing Aid Technology, Climate Modeling Collaborations: Prof. Amir Hussain, Dr. Kia Dashtipour, Prof. Ahmed Al-Dubai His research explores audio-visual speech enhancement for hearing aids, leveraging deep learning and fuzzy logic. He investigates green AI techniques like neural network pruning for energy efficiency and develops privacy-preserving frameworks using thermal imaging. His work spans climate data analysis with partial least squares and underwater image enhancement via dimension decomposition transformers. Recent publications include 2026 surveys on ensemble malware detection and 2025 studies on cognitive load-driven speech enhancement . He has contributed to federated learning for market surveillance and multimodal hearing aid projects. As a second supervisor for Idrees Hasan's research on COG-MHEAR hearing aids, he mentors emerging scholars. His grants include £3.25M from EPSRC for the COG-MHEAR project (2021-2026) and £12k from Royal Society for multilingual speech enhancement studies. He works with the Centre for Artificial Intelligence and Robotics and Centre for Distributed Computing , integrating 5G-IoT systems into assistive technologies. His technical background includes compiler design, embedded systems, and wireless sensor networks from earlier projects like gesture mice and Hadoop-based rule mining.

• English language teaching
• Applied linguistics
• Intercultural competence
• +3 more

Leonarda Lovrović is a Senior Lecturer at the Department of English Studies, University of Zadar, Croatia, with a career spanning secondary education and tertiary teaching since 1999. Education Graduated in English Language and Literature and German Language and Literature, Faculty of Philosophy, University of Zadar, 1999. Research Interests Her main scholarly focus lies in English language teaching , particularly the integration of literature and authentic materials to foster intercultural competence , communicative competence , and task-based language learning . She explores how poetry, short stories, newspaper articles, and Shakespearean texts can be leveraged to develop learners’ linguistic and cultural awareness. Additional interests include academic writing instruction, learner attribution processes, and cross-linguistic influence in second-language acquisition. Recent Publication Trends Across the past 15 publications, a clear trajectory emerges from classroom-oriented studies on task-based and literature-driven pedagogy toward broader issues of intercultural education, sustainable development competences, and learner psychology. Early work emphasizes practical techniques—using poems, short stories, and newspapers—while recent outputs engage with virtual exchange, learner attributions, and culture-oriented curricula, reflecting an evolution from micro-level classroom strategies to macro-level educational concerns. Professional Memberships & Service Member, Croatian Society for Applied Linguistics (HDPL) Member, Croatian Philological Society (HFD) Member, Croatian Association of Teachers of English (HUPE) Teaching & Advising At the undergraduate level she teaches Modern English ; at the graduate level she delivers Modern Language – Language Exercises . She also leads teacher-training seminars and actively participates in international conferences, indicating ongoing mentorship and professional development activities for both pre-service and in-service teachers. Labs & Teams While no dedicated lab is mentioned, her continuous involvement in national and international applied-linguistics societies and conference organizing committees suggests collaborative engagement with broader research and teacher-training networks at the University of Zadar and beyond.

• Road Safety
• Vehicle Passive Safety
• Finite Element Analysis
• +7 more

Dr. Mario Mongiardini is a Grant-Funded Researcher at the Centre for Automotive Safety Research (CASR), within the University of Adelaide's Faculty of Sciences, Engineering and Technology. He joined CASR in 2018 after research roles in the USA (2010-2012) and Sydney (2012-2018). His work spans road safety infrastructure and vehicle safety technologies, with expertise in finite element modeling, crash testing, and data analysis from naturalistic driving studies. He holds a PhD in Civil Engineering (Worcester Polytechnic Institute, USA) and an MSc in Mechanical Engineering (Polytechnic University of Milan, Italy). PhD in Civil Engineering, Worcester Polytechnic Institute (2010) MSc in Mechanical Engineering, Polytechnic University of Milan (2003) Mario Mongiardini's research focuses on road safety, encompassing: Road Infrastructure: Safe System approach implementation, roadside safety barrier evaluation, Intelligent Transport Systems (ITS), and before/after assessments of traditional treatments. Vehicle Safety: Advanced Driver Assisting Systems (ADAS), Connected and Automated Vehicles (CAVs), quad-bike safety modeling, and high-detail crash event analysis using finite element software. Methodologies: Data analysis from naturalistic driving studies, physical crash testing, numerical modeling (e.g., LS-DYNA), and ad-hoc programming for crash prediction. His collaborative work involves road safety authorities and crash test facilities. He has authored/co-authored peer-reviewed journals, conference papers, and technical reports for road agencies.

• Kansei informatics
• Soft computing
• Colour emotion
• +6 more

Keiichi Muramatsu is Associate Professor (tenure-track since 2025) at Waseda University’s Global Education Center, Japan. Holding a Doctor of Human Sciences from Waseda, he has successively served as Assistant Professor at Saitama University and as part-time Lecturer at Bunkyo University. He is an active member of the Japan Society of Kansei Engineering, the Japanese Society for Artificial Intelligence and the Color Society of Japan. Education: Doctoral Program, Human Sciences, Waseda University (2009-2014) Master’s Program, Human Sciences, Waseda University (2007-2009) Bachelor, Department of Human Informatics and Cognitive Sciences, Waseda University (2003-2007) Research interests: Muramatsu integrates Kansei informatics and soft computing to quantify human emotional and aesthetic responses. His work spans colour-emotion modelling for lighting and butterfly aesthetics, bio-signal driven emotion recognition using chaotic fingertip plethysmography, and gait classification via deep learning for personalised rehabilitation and stumble prevention. He also develops ontological frameworks to share emotional knowledge across educational and product-service system design domains. Publication trends: Across 62 Scopus papers (h-index 7), Muramatsu’s recent outputs demonstrate a convergence of affective engineering and AI: convolutional networks visualise gait features for training feedback, neural predictors estimate learner states in intelligent tutoring systems, and psychophysiological models link colour, fragrance and 3-D sound to emotional dimensions. Studies consistently combine subjective evaluations with objective indices such as fNIRS, skin conductance and chaotic exponents. Grants & industry links: He has led JSPS KAKENHI grants and internal Waseda special research projects, collaborated with Toyota on driver affective scales, and contributed to exoskeleton development with Saitama medical device firms. His work on LED automotive lighting and mobility-scooter stress evaluation reflects ongoing industry knowledge transfer. Advising & labs: While specific student names are not disclosed, Muramatsu supervises graduate research on gait-assistive devices, emotion recognition wearables, and ITS architectures within the Global Education Center’s interdisciplinary environment.

• Serious Games
• Digital Cultural Heritage
• Extended Reality (XR)
• +7 more

Vedad Hulusic serves as Associate Professor and Deputy Head of the Creative Technology Department within Bournemouth University's Faculty of Science and Technology. He previously held positions as Assistant Professor at University Sarajevo School of Science and Technology and Post-doctoral Researcher at Télécom ParisTech, and acted as REF 2021 Output Champion for Computer Science and Informatics (UoA11). His academic credentials include: PhD in Engineering, University of Warwick, UK BSc in Computer Science, University of Sarajevo, Bosnia and Herzegovina Hulusic's research spans serious games, digital cultural heritage, XR technologies, assistive technology, and cross-modal interaction. His work bridges computer graphics with real-world applications in education, healthcare, and cultural preservation, emphasizing user-centered design and accessibility. Recent projects focus on multi-user XR for cultural heritage and haptic interfaces for children with disabilities. Analysis of his publication record reveals consistent innovation in XR applications for cultural heritage, with growing emphasis on accessibility and user experience. His work demonstrates strong interdisciplinary collaboration with museums, industry partners, and healthcare institutions, while maintaining technical rigor in image quality assessment and perceptual modeling. His scientific recognition includes: Four international best paper awards (CGVC 2023, EG GCH 2021, EG GCH 2018, ACM SCCG 2008) Innovative Value Award (Kingston University London, 2023) Vice Chancellor Scholarship (University of Warwick, 2007) Hulusic actively mentors PhD candidates including Zhenhao Tian, Ethan Southall, Nicholas Lindfield, and Wenjun Liu, focusing on XR and serious games applications. His funded projects include the HEIF-supported 'Feeling the UNfelt (FUN)' assistive technology initiative and current industry collaboration with Noho Ltd on multi-user XR. He has participated in EU frameworks including V-MusT.net and HDRi projects, demonstrating sustained success in securing competitive research funding. As core member of Bournemouth's Centre for Computer Graphics (CCG) and Studio for Games and Animation Technology (SGAT), he drives collaborative research with cultural institutions and industry partners to advance digital heritage preservation and accessible technology design.

• Computer System Software
• Image Processing
• Programming Languages
• +3 more

Murat IŞIK is a Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Architecture, Kırşehir Ahi Evran University. He has been serving as a full-time faculty member since 2017 and currently holds additional administrative positions as Department Head (since 2025) and Research Application Center Deputy Director (since 2024). PhD in Computer and Information Engineering, Sakarya University (2011-2017) MSc in Computer Engineering, Sakarya University (2009-2011) Bachelor's Degree from Dicle University, Batman Technical Education Faculty (2002-2006) Dr. IŞIK's research spans multiple areas in computer science and engineering, with a focus on artificial intelligence applications. His primary research interests include Computer System Software, Image Processing, Programming Languages, Computer Software and Software Engineering, Machine Learning, and Artificial Intelligence. His work demonstrates a strong interdisciplinary approach, applying computer vision and deep learning techniques to diverse fields including medical diagnostics, education technology, and accessibility solutions. His recent publications show a trend toward practical applications of AI in education, healthcare, and everyday life challenges. He has developed innovative solutions such as real-time assessment systems for primary schools, assistive technology for visually impaired individuals, and classification systems using deep learning approaches. Research World Medal and Research World Excellent Paper Award (2016) Dr. IŞIK has successfully supervised multiple master's students and is actively involved in numerous research projects funded by higher education institutions. His projects range from BCI-supported deep learning models for motor/facial movement detection to AI-assisted insole production and intelligent test systems for primary school students. He has secured funding for projects extending through 2027, demonstrating sustained research productivity. He leads the Computer Engineering department's research efforts and has established collaborations with researchers both within Turkey and internationally, particularly in Iraq. His laboratory work focuses on implementing practical AI solutions with an emphasis on accessibility and educational applications.

Lucia KilgerView profile

Professor

• Composition
• Sound Design
• Digital Media
• +4 more

Lucia Kilger is Professor of Composition and Sound Design for Digital Media at KreativInstitut.OWL, where she collaborates with interdisciplinary teams to develop innovative projects at the intersection of artistic practice, technology, and education. Her work emphasizes team-oriented creation with the belief that 'with the right team, things that are unimaginable on your own suddenly become tangible.' Her academic background includes: Concert Exam in Composition - University of Music and Dance Cologne (2020-2022) Master's in Sound Direction - University of Music and Performing Arts Frankfurt (2019) Master's in Electronic Composition - University of Music and Dance Cologne (2017) Bachelor of Music Design - Trossingen University of Music (2011) IHK training in media design, image and sound Kilger's research focuses on the integration of composition, sound design, and digital technologies, with particular expertise in intermedia formats, electronic music, and digital humanities. Her creative practice explores the boundaries between acoustic and electronic sound, reality and virtuality, often creating immersive experiences through spatialized audio and multimedia integration. She specializes in developing works for unconventional performance contexts including digital spaces, video walks, and site-specific installations. Her recent compositions reveal a clear trajectory toward increasingly sophisticated digital integration, with works like 'smonize' (2024) - commissioned as the first digital space work by Donaueschinger Musiktage - demonstrating her leadership in creating for virtual environments. The thematic elements across her work frequently explore transformation, fluidity of form, and the interplay between organic and technological elements. As an educator, Kilger holds a teaching assignment at the State University of Music Trossingen since 2022 while maintaining her professorship at KreativInstitut.OWL. Her professional practice as a freelance composer and sound director directly informs her academic work, creating a dynamic exchange between theory and practice. Her collaborative projects typically involve interdisciplinary teams including performers, technicians, costume designers, and other specialists, reflecting her commitment to collective creation. Notable collaborations include work with performers like Lina Andonovska, Carlos Cordeiro, and Ria Rehfuß across multiple productions.

Kirsten HermesView profile

Senior Lecturer

• Automatic Music Mixing
• Spectral Clarity
• Psychoacoustics
• +5 more

Kirsten Hermes serves as Senior Lecturer in Music Performance Technology at the University of Westminster since 2016, merging academic research with professional practice as electronica artist Nyokee. Her work bridges psychoacoustic engineering, electronic music performance, and creative technology development. Her educational foundation includes an EPSRC-funded PhD in Sound Recording and Psychoacoustic Engineering from the University of Surrey, where her thesis focused on spectral clarity predictors in music mixes. Research centers on automatic music mixing tools and spectral clarity modeling , expanding into AI's impact on creativity, virtual artist identities, and chiptune culture. Recent work examines pandemic adaptations in online music communities and audiovisual integration in live electronic performance, emphasizing practical applications for musicians. Analysis of her 15 most recent publications (2021-2025) reveals an evolution from core psychoacoustic research toward interdisciplinary exploration of AI, virtual performance, and cultural adaptation in electronic music. Key trends include human-AI collaboration frameworks, chiptune's digital resilience, and the role of 3D avatars in artist identity construction. She currently supervises doctoral researcher Clara Colotti, whose thesis investigates audiovisual expansion of orchestral cultural scope. While specific grant details aren't provided, her EPSRC-funded PhD demonstrates research funding capability. Affiliated with the university's Music Research Group, she actively engages the electronic music community through Nyokee performances at MAGfest, Comic Con, and Hyper Japan, blending academic inquiry with stage practice.

Jemily RimeView profile

Research Fellow

• Audio and Music Production
• Immersive Media and Technologies
• Podcasting
• +2 more

Jemily Rime is a Research Fellow in Creative Technologies and Immersive Storytelling at Anglia Ruskin University's StoryLab within the Faculty of Arts, Humanities, Education and Social Sciences, and concurrently serves as Professor of Electronic and Produced Music at the Guildhall School of Music and Drama. Her interdisciplinary work bridges audio innovation, immersive media, and creative coding through participatory design methodologies. Her academic foundation includes a BSc in Physics from King's College London (2018) where she simultaneously developed her debut album 'Otters Mate For Life', and a 2024 PhD from the University of York focused on AI-driven tools for personalised podcasting developed in partnership with XR Stories and BBC R&D. Rime's research explores audio production, immersive technologies, and storytelling through human-centered approaches. She investigates how digital tools can enhance creative processes, particularly in podcasting and music production, with strong emphasis on user agency and co-creation. Her work consistently integrates technical innovation with artistic expression, examining both practical applications and ethical implications of emerging technologies. Analysis of her publications reveals a cohesive trajectory in redefining audio media through computational methods. Early work established frameworks for podcast production workflows, while recent research expands into VR narratives and AI voice cloning, demonstrating increasing sophistication in human-AI collaboration for creative output. This evolution highlights her commitment to developing tools that empower creators rather than replace human agency. Her scientific recognition includes: Best Paper Award at CHIRA 2024 for 'Interviewing ChatGPT-Generated Personas to Inform Design Decisions' Rime mentors students in creative coding projects showcased through The_Coding_Choir, with notable collaborations including BBC R&D and XR Stories. Current initiatives encompass The Navigator oral history archive for Cambridge's Kite neighborhood and Resonance Kernow's spatial audio exploration in Cornwall, reflecting her dedication to community-engaged research. She leads The_Coding_Choir research group which develops tools like pod-CLIPR for podcast chapterisation while maintaining an active performance career. Her artistic practice as a jazz-pop singer-songwriter directly informs her academic work, creating a virtuous cycle between theoretical research and practical musical innovation.

Lee Seong-juView profile

Professor

• Artificial Intelligence
• Human-Computer Interaction
• Music Technology
• +2 more

Professor Lee Seong-ju serves in the Department of Electrical and Electronic Engineering at Korea Advanced Institute of Science and Technology (KAIST), where he leads innovative research at the intersection of artificial intelligence and creative processes. His work focuses on developing human-centered AI systems that augment rather than replace human creativity, particularly in musical composition. His research interests span human-AI collaboration frameworks , multimodal input processing for creative applications , and designing AI systems that respect creative workflows . Professor Lee specifically investigates how large language models can be integrated with music data-trained AI to create tools that respond to textual, visual, and audio inspirations while maintaining the creator's initiative in the artistic process. His recent publication on Amuse demonstrates a clear trend toward creator-centered AI design that addresses copyright concerns in generative systems. Rather than producing final content, his approach generates harmonic structures that serve as starting points for human refinement, representing a significant shift from conventional generative AI paradigms. Best Paper Award at ACM CHI Conference (top 1% recognition) Funded by National Research Foundation of Korea (NRF) grant RS-2024-00337007 Professor Lee actively advises doctoral candidates including Yewon Kim and maintains international collaborations with institutions like Carnegie Mellon University. His laboratory focuses on developing practical AI tools for creative professionals, with emphasis on systems that enhance rather than automate the creative process. The Amuse project exemplifies his commitment to building AI that serves as a collaborative partner in artistic creation.

• Information Retrieval
• Digital Libraries
• Metadata Systems
• +5 more

Pia Borlund is a Professor at Oslo Metropolitan University, Faculty of Social Sciences, Department of Archivistics, Library and Information Science. Her office is located at Pilestredet 48, 0167 Oslo (Office R404), with contact information including mobile (+45 515 19 289) and office (+47 672 35 250) phone numbers. Professor Borlund's research focuses on information retrieval behavior , metadata systems , and cultural heritage archives . She leads the Information Systems based on Metadata (METAINFO) research group and directs the Polyvocal Interpretations of Contested Colonial Heritage (PICCH) project, which examines colonial audio-visual heritage across multiple archives and facilitates dialogue between archives and diverse user groups. Her work bridges theoretical information science with practical applications in digital humanities contexts. Analysis of her recent publications (2018-2025) reveals consistent investigation into user information behavior across digital environments, with particular emphasis on cultural heritage archives , metadata applications , and scholarly information practices . Her research demonstrates methodological sophistication in studying information needs and retrieval patterns, often employing comparative and international approaches. Professor Borlund serves as active research leadership through the METAINFO group and PICCH project, collaborating with international partners on digital heritage interpretation. Her work contributes significantly to understanding how diverse user groups interact with archival materials in digital environments, with implications for archive design, metadata standards, and inclusive heritage interpretation.

• Digital Storytelling
• STEAM Education
• Game-based Learning
• +5 more

Dr. Tharrenos Bratitsis is a Full Professor at the University of Western Macedonia's Department of Early Childhood Education, specializing in ICTs in Education. He earned his Electrical Engineering and Computer Science degree from the Polytechnic School of the University of Patras in 1994 and completed his doctorate in 2007. His research spans Digital Storytelling, STEAM Education, Game-based Learning, Educational Robotics, and Technology Enhanced Learning. His research focuses on integrating advanced technologies into educational settings to enhance collaborative learning, computational thinking, and sustainable development education. Key areas include gamified STEAM approaches for early childhood, algorithmic thinking through hybrid games, and entrepreneurship training programs. His work emphasizes pedagogical innovation and digital literacy. Awards and recognitions include participation in EU-funded projects like Erasmus+. His research demonstrates consistent focus on technology-enhanced pedagogies and interdisciplinary educational strategies. Key laboratories include the CrInTE lab, where he leads projects on educational technology. Future initiatives involve expanding research on sustainable development education and digital storytelling applications across diverse age groups.

• Music Technology
• Generative AI
• Artificial Intelligence
• +3 more

Eleanor Row is a Researcher affiliated with the School of Electronic Engineering and Computer Science at Queen Mary University of London. Her work focuses on leveraging generative models to support music composition, particularly through AI-driven creativity tools. She leads the project Automatic micro-composition for professional/novice composers using generative models as creativity support tools , aiming to develop systems that assist composers in filling creative gaps via user-defined constraints. Her research intersects music technology, artificial intelligence, and human-centered design. Key contributions include exploring transformer-based music overpainting for jazz piano variations and creating the JAZZVAR dataset to study musical variations in jazz performances. Her publications highlight advancements in AI applications for music composition, emphasizing user-centric design principles and computational methods in creative domains.

Jeremy J. DavisView profile

Associate Clinical Professor

• Neuropsychology
• Cognitive Assessment
• Performance Validity Testing
• +5 more

Jeremy J. Davis, PsyD, ABPP-CN is a Clinical Associate Professor in the Department of Neurology and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases at UT Health San Antonio. As a board-certified clinical neuropsychologist, he specializes in the evaluation of adults and older adults with cognitive concerns, focusing on differentiating normal aging from mild cognitive impairment and dementia. His clinical work encompasses patients with various neurological conditions including stroke, movement disorders, and traumatic brain injury. Dr. Davis's research primarily centers on neuropsychological assessment methodology, with particular emphasis on performance validity testing. His work investigates statistical properties of validity indicators, demographic influences on test performance, and the application of neuropsychological assessment in various clinical populations including those with traumatic brain injury and neurodegenerative conditions. He has made significant contributions to understanding false positive rates in validity testing, racial differences in test performance, and the relationship between cognitive variability and functional outcomes in Parkinson's disease. Analysis of Dr. Davis's recent publications reveals a strong focus on methodological rigor in neuropsychological assessment, particularly in the area of performance validity testing. His research addresses critical issues such as test security in the age of AI, appropriate battery construction to minimize false positives, and ensuring cultural and demographic fairness in assessment tools. A significant portion of his work examines traumatic brain injury outcomes, cognitive assessment in aging populations, and the intersection of psychological factors with cognitive performance. ABPP Certification in Clinical Neuropsychology Dr. Davis actively contributes to clinical service through patient evaluations at UT Health San Antonio facilities. While specific grant information isn't detailed in the available materials, his extensive publication record spanning from 2008 to present (with 39 total publications and 733 citations) demonstrates sustained research productivity. His work appears in prominent neuropsychology journals including Clinical Neuropsychologist and Applied Neuropsychology: Adult. As part of the Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, Dr. Davis contributes to a multidisciplinary team focused on understanding and treating cognitive disorders. His expertise in differentiating normal aging from pathological cognitive decline positions him as a key contributor to the institute's mission of advancing care for patients with memory disorders and neurodegenerative conditions.

• Information Retrieval
• Data Analytics
• Machine Learning
• +9 more

Shane Culpepper is an Adjunct Professor in the School of Computing Technologies at RMIT University, where he also serves as Director of the Centre for Information Discovery and Data Analytics and a Vice-Chancellor's Principal Research Fellow. His research focuses on building efficient search systems, measuring answer quality, and human-driven data science transformation of heterogeneous data. Key areas include algorithms, machine learning, distributed computing, and statistical modeling. Teaching interests span space-efficient data structures, data compression, bioinformatics, natural language processing, and combinatorics. His research interests include information retrieval, artificial intelligence, and computational theory. Supervision projects include topics like query performance prediction, inferential risk measures, and efficient cascade ranking. Over 100 research outputs are listed, with recent work on query optimization, multimodal feature extraction, and trajectory data analytics. Collaborations and a personal website ( https://www.culpepper.io/ ) highlight active engagement in the academic community.