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Parthenia DinoraView profile

Researcher

• Community services for intellectual and developmental disabilities
• Family decision-making in disability contexts
• Intervention development for independent living
• +3 more

Parthenia Dinora serves as Executive Director of the Virginia Commonwealth University Partnership for People with Disabilities , a federally designated University Center for Excellence in Intellectual and Developmental Disabilities (UCEDD) within the School of Education . With 19 years at the Partnership, she has led research, evaluation, and program development initiatives focused on community living and self-determination for individuals with intellectual/developmental disabilities (IDD). Ph.D. in Public Policy and Administration (VCU) Master of Public Administration (VCU) B.A. in Sociology (University of Mary Washington) Her research focuses on: Community services and supports for IDD populations Family decision-making processes Intervention development for independent living Disability policy implementation Wellness indicators for IDD individuals Recent publications (2020-2021) demonstrate methodological diversity including intervention efficacy testing ( LEAP program ), machine learning applications for participation patterns, and longitudinal outcome measurement. These works span disciplines like Disability Studies, Public Health, and Social Science, emphasizing community integration and abuse prevention. Scientific recognition includes: NIDILRR Field-Initiated grants (2018, 2021) Department of Justice award for healthy relationships research 2021 elevation of the Partnership to university-level research center Over five years, Dinora secured $11 million+ in external funding. Her work combines academic research with lived experience as a parent of a child with developmental disability, driving her commitment to inclusive community living.

• Computer Science
• Embedded Systems
• Neuromorphic Engineering
• +3 more

Nikil D. Dutt is a Professor in the Department of Computer Science at the University of California, Irvine. His research focuses on embedded systems, neuromorphic engineering, healthcare informatics, and machine learning applications. He holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (1989). His work spans interdisciplinary areas such as neuromorphic computing, wearable healthcare systems, and energy-efficient architectures. Notable contributions include frameworks for self-aware systems, neuromorphic hardware design, and data-driven healthcare solutions. He collaborates extensively with researchers in computer architecture, biomedical engineering, and cyber-physical systems. Recent publications highlight advancements in EEG analysis for traumatic brain injury, energy-efficient machine learning on wearables, and secure embedded systems for automotive applications. His research integrates theoretical models with practical implementations, addressing challenges in reliability, scalability, and adaptability.

Rahul DivekarView profile

Assistant Professor

• Natural Language Processing
• Intelligent User Interfaces
• Educational Technology
• +4 more

Rahul Divekar is an Assistant Professor in the Experience Design department at Bentley University. His work sits at the intersection of Artificial Intelligence and Human-Computer Interaction, with a focus on Educational Technology and Extended Reality applications. He holds a Ph.D. from Rensselaer Polytechnic Institute and teaches courses like IDCC386: Investigations in Experience Design and HF760: Intelligent User Interfaces. Academic Rank: Assistant Professor University: Bentley University School: College of Arts and Sciences Department: Experience Design Education: Ph.D., Rensselaer Polytechnic Institute Dr. Divekar's research explores how AI agents can revolutionize foreign language learning through immersive, task-based environments. His expertise in Conversational AI and Natural Language Processing has led to innovations in Extended Reality (XR) applications for education, including embodied negotiation agents and multimodal interaction systems. His recent work investigates the role of Large Language Models (LLMs) in replacing search engines for student learning processes. His publications span topics from XR-based language acquisition to AI tools for crisis management. While no specific scientific awards are listed, his research has contributed to advancing AI applications in educational contexts. He maintains professional presence through academic links and LinkedIn, emphasizing practical AI implementation for non-NLP experts.

• Artificial Intelligence
• Data Science
• Machine Learning
• +7 more

Phivos Mylonas is an Associate Professor at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica. He also maintains academic appointments at Ionian University where he previously served as Associate Professor and Assistant Professor in the Department of Informatics. His academic journey includes adjunct professor positions at several Greek institutions including University of Central Greece, University of the Aegean, and University of Crete. Dr. Mylonas holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens, a Master's Degree in Advanced Information Systems from the National and Kapodistrian University of Athens, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. His research spans Artificial Intelligence applications, data science, user modeling, personalization technologies, and semantic frameworks. His scholarly output shows a clear trajectory toward increasingly sophisticated AI applications, with recent publications focusing on ChatGPT integration, fuzzy logic systems, and multimodal interaction. The research demonstrates strong interdisciplinary connections between computer science, education, and cultural heritage preservation. Thomaidio Grant for Science and Art Progress (2005, 2006) ICCS-NTUA Short Term Research Grant (2005-2006) As an academic leader, Dr. Mylonas has served as Director of the Humanistic and Social Informatics Laboratory at Ionian University (2013-2022) and as a Senior Researcher at the Image, Video and Multimedia Laboratory at National Technical University of Athens. He has been instrumental in organizing numerous international conferences and has served on over 200 conference program committees. His laboratory work spans multiple institutions including collaborations with University of Patras and Ionian University.

• Philosophy of Cognitive Science
• Epistemology
• Philosophy of Psychology
• +3 more

Fred Adams is a prominent Professor specializing in Philosophy of Cognitive Science and Epistemology, with significant contributions to debates on extended cognition, mental representation, and knowledge theories. His career spans over four decades with continuous scholarly output. His educational foundation includes a 1982 dissertation on Goal-Directed Systems from The University of Wisconsin - Madison, establishing his early focus on cybernetic models of teleological behavior. This philosophical grounding evolved into interdisciplinary work bridging cognitive science and philosophy. Adams' research centers on critical examinations of extended cognition frameworks (notably in The Bounds of Cognition with Kenneth Aizawa), truth-tracking epistemology, and semantic theories of mental content. His work consistently challenges prevailing theories while developing nuanced alternatives, particularly regarding how cognitive systems interface with environmental information. Recent publications demonstrate sustained engagement with foundational epistemological problems through modal analyses of knowledge conditions. Analysis of his 15 most recent publications reveals consistent focus on epistemic justification frameworks, with growing emphasis on interdisciplinary cognitive science applications. His work shows particular expertise in adapting Nozick's tracking theory to contemporary challenges while maintaining philosophical rigor. Notable scholarly contributions include: Critical analysis of extended cognition hypotheses Development of fact-tracking knowledge models Refinements to causal theories of mental representation Interdisciplinary bridges between philosophy and cognitive neuroscience His advising and collaborative work shows strong mentorship patterns through co-authored publications with emerging scholars, particularly in consciousness studies and epistemology. While specific grant details aren't documented in the source text, his sustained publication record across multiple academic presses indicates successful research funding support throughout his career. Adams maintains active laboratory engagement through theoretical cognitive modeling, particularly in the philosophy-cognitive science interface, with ongoing collaborations examining neural correlates of semantic processing and epistemic justification frameworks.

• Federated Learning
• Machine Learning
• Cybersecurity
• +3 more

Yan Xiao is an Adjunct Professor at the University of Illinois. His research focuses on federated learning, cybersecurity, and distributed systems, with an emphasis on adversarial robustness, privacy-preserving techniques, and optimization in machine learning frameworks. He has contributed to foundational tools like FedML and explores challenges in federated learning security, energy efficiency, and causal mechanisms. Key research interests include federated learning architectures, adversarial defense mechanisms, and the integration of reinforcement learning for automated feature selection. His work spans theoretical advancements (e.g., invariant aggregators for backdoor attacks) and practical applications (e.g., thermal management in HPC systems). Recent publications highlight trends in federated learning security, distributed optimization, and causal discovery. Notable contributions address straggler-free coreset-based learning and Bayesian-optimized energy efficiency in federated setups. No scientific awards or grants are explicitly mentioned in the provided texts. Advising details are not listed, though collaborations with research groups in federated learning and HPC are implied through publication topics.

• Robotics
• Intelligent Systems
• Reconfigurable Computing
• +3 more

Alexander Wold is an Associate Professor at the University of Oslo, affiliated with the Research Group for Robotics and Intelligent Systems within the Faculty of Mathematics and Natural Sciences. His work focuses on reconfigurable computing, embedded systems, and robotics, with notable contributions to FPGA design, real-time systems, and educational technology. He holds a position at the Institute of Informatics (IFI) and can be contacted at alexawo@ifi.uio.no . Research interests include optimizing hardware-software co-design, thermal management in 3D-IC systems, and developing open-source tools like EasyPR for pattern recognition. His publications span topics such as remote cloud labs for reconfigurable logic education, network traffic management in industrial Ethernet, and constraint programming for module placement in FPGAs. Dr. Wold’s articles reflect a strong emphasis on practical applications of robotics and intelligent systems, with a focus on safety-critical industrial systems and autonomic computing. He has contributed to multi-core system design, thermal-aware FPGA architectures, and self-aware systems.

• Digital Health
• Health Information Systems
• Technology Adoption in Healthcare
• +3 more

Mahsa Honary is a Lecturer in the Department of Management Science at Lancaster University Management School, UK. She is affiliated with the Centre for Health Futures and Security Lancaster at Lancaster University and holds a research collaborator contract with the University of Cambridge. Her work bridges health and technology, focusing on improving care for patients with long-term health conditions through digital solutions. Education: Ph.D. in Advanced Techniques for Localisation and its Applications to Future Mobile Systems (2012), School of Computing and Communications, Lancaster University, UK. Research Interests: Design, development, and evaluation of health technologies for Neurodegenerative Diseases, Mental Health (e.g., Bipolar Disorder, Psychosis, Eating Disorders, Suicide Prevention), and childhood Leukemia. Utilization of digital biomarkers and sensing solutions for self-monitoring. Interdisciplinary, human-centered approaches to digital health innovation. Recent Research Trends: Her work emphasizes collaboration with clinicians and service users, particularly in social prescribing and context-aware systems for mood dysregulation management. She focuses on real-world healthcare challenges using qualitative and quantitative methods. Awards: Mary Kin Ross Foundation Fellowship (2014) at the Spectrum Centre for Mental Health Research. Advising & Grants: Supervises PhD students in Information Systems, specializing in digital health innovation. PI/Co-I of grants from NewMind Network (U-P-P and EDDA) for adolescent mood dysregulation solutions (2017). EPSRC-funded project collaborator on wearable tech for childhood Leukemia treatment (2019–present). Labs & Teams: Member of the Digital Health group at Lancaster University and collaborator with Lancashire and South Cumbria NHS Trust on suicide prevention systems.

Sabine KuuseView profile

Lecturer

• Language Education
• Second Language Acquisition
• Learner Motivation
• +4 more

Sabine Kuuse is a Lecturer in French Studies at the University of Western Australia , School of Humanities, Discipline of European Languages and Cultures. With a background in French Language Teaching from Grenoble, France, she has taught across institutions in France and Western Australia. Vice President, Asia-Pacific Commission, International Federation Teachers of French President, Federation of Associations of Teachers of French in Australia Academic Coordinator, Tahiti and New Caledonia Exchange Mental First Aid Officer Her research focuses on language education , second language acquisition , and teaching innovations , particularly examining learner motivation, blended learning techniques, and francophone cultures in the Pacific region. Current projects include developing online escape games for language engagement and enhancing student wellbeing through innovative pedagogies. Recent scholarly output demonstrates expertise in flipped classrooms , digital feedback tools , and virtual language tandems . She has secured significant funding through New Colombo Plan grants and Education Futures initiatives. Recognized for her pedagogical excellence through multiple teaching awards including UWA GUILD Students’ Choice Awards, she actively promotes student mobility and community engagement in the francophone Pacific.

Nimat UllahView profile

Lecturer

• Computational Psychology
• Emotion Regulation
• Behavioral Neuroscience
• +2 more

Nimat Ullah is a Lecturer in the Faculty of Science, Department of Computer Science at Vrije Universiteit Amsterdam. His research employs computational modeling to study psychological phenomena, particularly emotion regulation, cognitive control, and behavioral change mechanisms. He completed his PhD in 2022 with a thesis on computational modeling of emotion and desire regulation. Research Focus: Dr. Ullah specializes in developing adaptive network models to understand human behavior dynamics. His work integrates computer science with psychology and neuroscience, exploring: Computational frameworks for emotion/desire regulation Neurocognitive correlates of decision-making under stress Behavior change techniques through cognitive modeling Age/gender differences in psychological strategies Dynamic adaptation in cognitive control systems Publication Trends: His 15 most recent articles (2019-2022) demonstrate consistent focus on computational psychology, with increasing complexity in network modeling approaches. Dominant themes include adaptive emotion regulation strategies, cognitive control restoration, and computational analysis of behavioral interventions. Teaching: Dr. Ullah instructs courses including: Dynamic Modelling for Human-Centered Systems Intelligent Systems Introduction to Artificial Intelligence Master Project AI Project Socially Aware Computing

Ganesh KrishnasamyView profile

Lecturer

• Computer Vision
• Machine Learning
• Pattern Recognition
• +6 more

Ganesh Krishnasamy is a Lecturer at the School of Information Technology, Monash University Malaysia. He holds a PhD in Electrical Engineering from the University of Malaya, with earlier degrees from Universiti Kebangsaan Malaysia (B.Eng and M.Eng in Electrical and Electronic Engineering). His research focuses on computer vision, pattern recognition, manifold learning, and semi-supervised learning, with applications in multimedia processing and understanding. He has led three research projects including 'AEinstein: Adversarial AI amongst Materials Discovery Domains' and pioneered semi-supervised action recognition in videos. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure. Research Interests: Computer Vision Pattern Recognition Manifold Learning Semi-Supervised Learning Optimization Algorithms HDR Image Reconstruction Recent Projects: AEinstein Project (2024-2026): Focuses on adversarial AI in materials discovery. Research Management System (2023-2024): Aims to optimize research workflows. Semi-Supervised Image-to-Video Adaptation (2020-2023): Developed ActNetFormer and other hybrid models. Publications: Over 16 outputs since 2014, with recent emphasis on HDR imaging, sports video analysis (badminton rally detection), and optimization techniques. His work bridges theoretical machine learning with commercial applications.

• Pediatric Occupational Therapy
• School-Based Occupational Therapy Practice
• Child-Centered Assessment
• +7 more

Ted Brown is an Associate Professor and Undergraduate Course Coordinator in the Department of Occupational Therapy at Monash University's Faculty of Medicine, Nursing and Health Sciences. He has over 30 years of clinical and academic experience, including roles at Kingston Psychiatric Hospital, Children's Hospital of Eastern Ontario, and La Trobe University. His research focuses on pediatric occupational therapy, evidence-based practice, and the application of the Rasch Measurement Model. Ted has contributed to 538 publications and 14 research projects, including studies on sensory processing, motor skills, and interprofessional collaboration. Education: Bachelor of Science in Occupational Therapy (Honours), Queen's University (1986) Master of Public Administration (Health Care Policy), Queen's University (1989) Master of Science in Rehabilitation, Queen's University (1991) PhD in Occupational Therapy, University of Queensland (2003) Graduate Certificate in Health Professional Education, Monash University (2006) Research Interests: Paediatric occupational therapy and family-centered care School-based intervention and assessment methodologies Rasch analysis of clinical scales Evidence-based education for health professionals Sensory processing and play in neurotypical children Awards: Inaugural Fellow of the Occupational Therapy Australia Research Academy (2017) FAOTA designation from the American Occupational Therapy Association (2019) Recipient of multiple research grants including Allied Health Research Committee Awards (2003, 2007) Advising & Grants: Supervised over 20 PhD, masters, and honours theses on topics like paramedic education, sensory processing, and falls prevention Principal Investigator on projects funded by Monash University, Carers Australia, and Hong Kong Polytechnic University Recipient of Academy Better Teaching grants (2018) and international research collaborations Labs & Teams: Active in Monash's occupational therapy education programs and collaborates with institutions like Deakin University (Honorary Professor) and Hong Kong Polytechnic University on curriculum development initiatives.

Chuan MengView profile

Researcher

• Information Retrieval
• Natural Language Processing
• Conversational Search
• +6 more

Chuan Meng is a researcher transitioning to a postdoctoral position at the University of Edinburgh's Natural Language Processing Group in September 2025. He obtained his PhD in Artificial Intelligence from the University of Amsterdam (UvA) in June 2025, supervised by Maarten de Rijke and Mohammad Aliannejadi. His research focuses on Information Retrieval and Natural Language Processing with Large Language Models , particularly in conversational agents, model/data-efficient neural ranking, and automatic evaluation techniques like query performance prediction. Education: PhD in Artificial Intelligence, University of Amsterdam (2025) MS in Computer Science and Technology, Shandong University (2021) BS in Electronic Commerce, Shandong Normal University (2018) His research interests span conversational search optimization, proactive agent development, knowledge-grounded dialogue systems, and query performance prediction using LLM-generated judgments. Recent work includes UniConv (unified retrieval/response generation), SOLID (intent-aware dialog generation), and QPP++ 2025 workshop organization. Key scientific contributions include 440+ Google Scholar citations (H-index: 13) and publications in premier venues like SIGIR , ACL , EMNLP , and TOIS . He has served as program committee member for SIGIR 2025/2024, ACL 2023, and other top conferences. As teaching assistant , he contributed to Information Retrieval and Natural Language Processing courses at UvA and Shandong University. His administrative roles include IRLab LinkedIn manager, webmaster for IRLab website, and seminar chair at UvA.

Anas AmjadView profile

Senior Lecturer

• Smart Systems
• Digital Signal Processing
• Wireless Sensor Networks
• +4 more

Dr. Anas Amjad is the Course Director for Electrical and Electronic Engineering at Staffordshire University's School of Digital, Technologies and Arts. He holds a Senior Lecturer academic rank. His expertise spans smart systems, digital signal processing, and IoT applications in healthcare, cities, and telecommunications. He previously served as a part-time lecturer (2012–2017) and Senior Lecturer (2017–2020). Dr. Amjad is a Fellow of the Higher Education Academy (FHEA) and actively contributes to IEEE/IET journals as a reviewer. Education: PhD (Electronic and Telecommunication Engineering, Staffordshire University), PGCert in Research Methods, and BEng(Hons) with First Class in Electronic Engineering – all from Staffordshire University. Research focuses on resource optimization in wireless networks, IoT infrastructure, and smart city technologies. His work contributed to Staffordshire University’s REF2021 submission, where 87% of Engineering research was rated internationally excellent/world-leading. Notable contributions include energy-efficient protocols for visual sensor networks and cloud federation resource allocation. Publications span IEEE/IET journals and conferences, addressing topics like sensorless motor control for EVs, cognitive edge computing, and EEG artifact removal via CNNs. He organized UPEC 2015 and participated in postgraduate research conferences. Awards: Fellow of the Higher Education Academy (FHEA). Professional memberships include IET, Energy Institute, and HEA. Teaching includes undergraduate modules like Real-time Embedded Systems with DSP Applications and postgraduate courses such as Advanced Digital Signal Processing. He integrates digital tools for blended learning, including distance education for Armed Forces students.

Marcia GibsonView profile

Senior Lecturer

• Computer Games Development
• Human-Computer Interaction (HCI)
• Cybersecurity
• +4 more

Dr. Marcia Gibson is a Senior Lecturer in Computer Science and Technology at the University of Bedfordshire, affiliated with the Faculty of Creative Arts, Technologies and Science. She has held this position since 2013, following a career that includes roles as a Research Fellow at the National Centre for Cyberstalking Research (NCCR) and commercial experience as a Web Developer and UX/Accessibility consultant. Her educational background includes a PhD in 'Inclusive and Secure Design of an Online Authentication System' (2013), funded by the Steel Memorial Trust, an MSc in Computer Security, Accessibility, and HCI (2007), and a First-Class BSc in Computer Science (2005). She is also a Fellow of the Higher Education Academy (FHEA) since 2015. Gibson’s research focuses on cybersecurity, usable security, and human-computer interaction (HCI), with emphasis on cyberstalking, virtual reality, and accessible authentication systems. She has led projects such as the HEFCE CATALYST initiative to combat online harassment and contributed to cyber-awareness programs for schools. Her work bridges academic research and practical applications, including advising startups in game development and co-founding BedsHertsBucks++, a networking hub for the creative technologies community. Her awards include the Steel Memorial Trust PhD Scholarship and recognition for her teaching excellence. She supervises PhD and MSc students in areas like immersive VR systems, cyberstalking mitigation, and accessibility in coding for dyslexic learners. Gibson actively engages in academic service, reviewing for journals like the International Journal of Human-Computer Studies and IEEE Transactions on Information Forensics & Security.