Ivan Radosavljević is a researcher affiliated with Singidunum University's Faculty of Informatics and Computing. His work focuses on interdisciplinary applications of artificial intelligence, machine learning, and software engineering. He has contributed to projects involving environmental monitoring frameworks, computer vision applications, and medical informatics solutions. Academic Affiliation: Faculty of Informatics and Computing, Singidunum University Research Themes: AI-driven systems, data generation techniques, software tools for research management His research portfolio includes innovations like the Microraptor GUI software for rendering process monitoring, generative models for synthetic datasets, and frameworks for panoramic image processing in GIS applications. Collaborations with colleagues have produced notable outputs such as breast cancer risk assessment systems and distance estimation algorithms trained on synthetic stereo images. Publications highlight his contributions to both theoretical advancements (e.g., fuzzy space theory applications) and practical implementations (e.g., dictation software development). His work often bridges academic research with real-world problem-solving in sectors like environmental science and healthcare.
Annikki Arola is a Senior Lecturer in Occupational Therapy at Arcada University of Applied Sciences. She holds a PhD from the Department of Health and Rehabilitation at the University of Gothenburg. Her primary affiliation is with the Arcada Health Tech Hub (AHTH), focusing on health and welfare initiatives. She has maintained active involvement with multidisciplinary research centers including Ageing and Health (AGECAP), the Centre for Person-Centred Care (GPCC), and the SWEAH National Graduate School on Ageing and Health at Lund University. Her research focuses on health promotion and well-being among aging populations, particularly older immigrants. Key areas include fall prevention, co-creative health technology development, and interventions addressing cultural competency in healthcare. She has conducted projects at Umeå University involving motor-cognitive programs for fall prevention in community-dwelling seniors over 65. Arola serves as a journal reviewer for occupational science, occupational therapy, and aging-related publications. Her work emphasizes user-centered approaches in health technology development through Arcada's Health Tech Hub, collaborating with stakeholders and end-users.
Sharon Greenwood is a Lecturer in Public Health and Deputy Director of Education in the School of Health and Wellbeing at the University of Glasgow. She holds a PhD in Sociology and has over a decade of academic experience, including roles in teaching, research, and leadership. Her work focuses on substance use, health inequalities, and pedagogical innovation. She currently leads the on-campus Master of Public Health (MPH) program and has pioneered initiatives like the annual MPH Student Conference to enhance graduate skills. Education: She is a Glasgow graduate with a MEd Academic Practice (Distinction), PhD in Sociology, MRes in Equality and Human Rights (Distinction), and MA (Hons) in Public Policy and Sociology (First Class). Research Interests: Her work explores substance use (illegal drugs, pharmaceuticals, alcohol), intersectionality in health, political determinants of health, and ethical dilemmas in research. Pedagogically, she focuses on emotions in teaching, feminist approaches, and inclusive education strategies. Grants & Awards: She leads projects funded by the MVLS College Equality Diversity and Inclusion Fund and Learning and Teaching Development Fund, addressing EDI challenges in public health research and supporting postgraduate dissertation success. Advising: Supervises three PhD students and has mentored numerous postgraduate and undergraduate projects on topics like menstrual health, substance use, and health policy. She also reviews five additional PGR students' work. Labs/Teams: Collaborates across disciplines, including with medical humanities and healthcare technology teams, as seen in her work on vascular access quality of life measures and electronic patient portals.
Daniel Barowy is an Associate Professor in the Department of Computer Science at Williams College. His academic journey includes a Ph.D. in Computer Science from the University of Massachusetts Amherst (2017), an M.S. in Computer Science from UMass Amherst (2013), a B.S. in Computer Science from Boston University (2010), and a B.A. in Legal Studies and Philosophy from UMass Amherst (2002). Education: Ph.D. Computer Science, University of Massachusetts Amherst, 2017 M.S. Computer Science, University of Massachusetts Amherst, 2013 B.S. Computer Science, Boston University, 2010 B.A. Legal Studies and Philosophy, University of Massachusetts Amherst, 2002 Daniel Barowy's research focuses on programming languages, particularly in the domain of end-user programming and human-computer interaction. His work centers on improving spreadsheet programs' reliability and enhancing human-in-the-loop algorithms. He explores how programming language technology can be applied to emerging domains such as crowdsourcing and data analysis. His research often blends traditional programming language techniques like program analysis with statistical methods to create tools that make programming more accessible and robust for non-experts. His publication record shows a consistent focus on improving spreadsheet reliability (ExceLint, CheckCell, FlashRelate) and integrating human computation with programming languages (AutoMan, VoxPL). His work spans multiple prestigious venues including PLDI, OOPSLA, CHI, and USENIX ATC, demonstrating both theoretical rigor and practical impact. The most recent work (Riker) focuses on build systems, showing an expansion of his research interests while maintaining the core theme of improving software reliability. Scientific Awards: Best Paper Award at USENIX ATC 2022 for "Riker: Always-Correct and Fast Incremental Builds from Simple Specifications" PLDI 2015 Distinguished Artifact Award for "FlashRelate: Extracting Relational Data from Semi-Structured Spreadsheets Using Examples" Research Highlight in Communications of the ACM for AutoMan Verified artifact badges for CheckCell, ExceLint, and FlashRelate Barowy actively mentors students, as evidenced by his detailed process for providing letters of recommendation. His teaching portfolio includes core computer science courses like Principles of Programming Languages (CSCI 334) and Introduction to Computer Security (CSCI 331). He has developed educational tools like SWELL for introductory programming education. His research is supported by grants from the National Science Foundation (CCF-1144520, CCF-0953754) and DARPA (N10AP2026), with additional support from Microsoft Research. Barowy leads research projects that often result in open-source software tools including ExceLint (an Excel plugin for finding formula errors), AutoMan/VoxPL (a DSL for crowdsourcing), and several related tools for spreadsheet analysis and crowdsourcing integration. His work bridges theoretical programming language concepts with practical applications that directly benefit end-users.
Alastair Macdonald is a Professor and Senior Researcher at the School of Design, The Glasgow School of Art. His work focuses on interdisciplinary research in healthcare, aging, and design innovation. With over 30 years of experience, he has led and contributed to numerous grants addressing healthcare-associated infections, antimicrobial resistance, and patient-centered care. Research Interests: Integrating design-led methods into healthcare research, co-design methodologies, and transdisciplinary collaboration. Notable projects include MOSAEC (UKRI), VIPVis (AHRC), and AMRSim (AHRC). He has also received the 2018 AHRC/Wellcome Health Humanities Award for Best Research. Education: Extensive academic leadership roles, including former Head of the Product Design Engineering program at GSA. Taught at multiple institutions and held external examiner posts at Dundee University, Royal College of Art, and others. Awards: Winner of 2018 AHRC/Wellcome Award, multiple UKRI grants, and international collaborations in Japan, Singapore, and Europe. Advising and Grants: Supervised over 10 PhD students focusing on aging, healthcare design, and inclusive technologies. Active in grant-funded projects totaling over £4 million, including SEED (NIHR), envisage (MRC), and mappmal (ESRC). Labs/Teams: Involved in initiatives like the HAIVAIRN network (AHRC) and the CREATE stroke rehabilitation study (NIHR). Collaborations span biomedical engineering, veterinary science, and nutrition.
Wolfgang Slany is Professor at Vienna University of Technology focusing on AI applications in scheduling systems. His research develops domain-specific languages and hybrid algorithms for workforce optimization in healthcare, call centers, and industrial settings. Key research areas: Fuzzy logic in AI systems Automated shift planning Break scheduling heuristics Test automation frameworks Publications demonstrate iterative development of the TEMPLE modeling language for staff scheduling. Recent work combines constraint programming with local search techniques to solve complex real-world scheduling problems across supervision systems and manufacturing environments.
Owen Doody is an Associate Professor in the Department of Nursing and Midwifery within the Faculty of Education and Health Sciences at the University of Limerick. With over two decades of academic and clinical experience, his work spans intellectual disability nursing, community integration, and healthcare policy development. His research directly informs national initiatives including Intellectual Disability Nursing Metrics and Older Person Nursing Metrics. His educational background includes a PhD from the University of Ulster (2013), BSc (2001), and Certificate from Waterford Institute of Technology (1998). Prior to academia, he held progressive clinical roles at Daughters of Charity including Clinical Nurse Manager and Staff Nurse. Doody's research portfolio demonstrates sustained focus on intellectual disability through over 280 publications. Recent work (2023-2025) shows a pronounced emphasis on scoping/integrative reviews addressing systemic healthcare challenges, with particular attention to end-of-life decision-making, educational inclusion, and advanced nursing practice. His publications consistently bridge clinical practice and policy development. Award highlights include: President’s Staff Excellence Award (Leadership) (2024) President's Research Excellence and Impact Award (2024) Consecutive Faculty Teaching Awards (2015-2016) He actively supervises graduate students while contributing to national healthcare projects. His leadership extends to Health Research Institute membership and committee roles including Post Graduate Course Board and Intellectual Disability Undergraduate Course Board. Current work focuses on digital advance care planning resources and expanding clinical placement capacity in midwifery education.
Pramod Khosla is a Professor in the Department of Nutrition and Food Science at Wayne State University's College of Liberal Arts and Sciences. He has held this position since 1996 and is actively involved in academic governance as the Faculty Grievance Coordinator for AAUP-AFT Local 6075. His research focuses on diet's impact on lipoprotein metabolism, particularly in chronic kidney disease (CKD) and end-stage renal disease (ESRD) patients undergoing hemodialysis. He has led multi-center clinical trials, including studies in Malaysia and Bangladesh, evaluating dietary supplements like tocotrienols and omega-3 fatty acids. Education: BSc (Honors) in Physiology from Newcastle University, MSc in Biochemistry from the University of Western Ontario, and a Ph.D. in Biochemistry from the same institution. Postdoctoral training at Brandeis University under Prof. KC Hayes specialized in non-human primate lipoprotein kinetics. Research emphasizes nutritional interventions to mitigate inflammation, oxidative stress, and lipid abnormalities in CKD patients. Collaborative projects include assessing dialysis capacity in Bangladesh, developing culturally adapted nutrition tools (e.g., the BDHD-FFQ), and evaluating mobile health apps for phosphate education. Over 36 graduate students have been mentored across PhD, M.S., and M.A. programs, along with numerous undergraduates. Notable contributions include pioneering studies on protein-energy wasting (PEW) and dietary patterns in hemodialysis populations. Current work focuses on translational research linking dietary fatty acid profiles to clinical outcomes, with a global health perspective across Asia and North America.
Anita Sarma is a Professor at Oregon State University's School of Electrical Engineering and Computer Science. She co-directs the GenderMag project and leads research integrating AI, cognitive science, and human-computer interaction to improve software development efficiency and inclusivity. Her work spans open-source software communities, gender-inclusive tools, and developer productivity. Her research leverages theories like Information Foraging Theory and Transactive Memory Systems to design AI-infused tools that reduce biases and improve collaboration. She focuses on end-user programmers (e.g., data scientists) and professional developers. PhD in Computer Science, University of California, Irvine Postdoctoral Fellow, Carnegie Mellon University Recent work analyzes generative AI's impact on open-source communities, inclusivity bugs in software, and diversity metrics. Her projects include gamified environments for student contributions and tools for socioeconomic-aware HCI. Scientific Awards: OSU Breaking Barriers Research Award (2021) NSF CAREER Award (2013) She has secured grants for gender-inclusive open-source tools and studies onboarding practices. Her research groups focus on software engineering and human-computer interaction, with a commitment to removing systemic barriers in technology.
Susan J. Loeb is a Professor in both the Ross and Carol Nese College of Nursing and the Department of Medicine at Penn State University, and Director of the PhD Program in Nursing. She holds dual appointments in nursing and medicine, reflecting her interdisciplinary research focus on incarcerated populations’ health needs. Her education includes a BSN, MSN, and PhD from Penn State University. Research interests center on enhancing healthcare in correctional settings, particularly geriatric and end-of-life care, as well as developing e-training programs for corrections staff and inmate peer caregivers. Current research includes NIH-funded projects like 'Computer-based Learning to Enhance ADRD Care in Prison' ($300K, 2022-2023) and 'E-training of Inmate Peer Caregivers' ($1.8M, 2020-2023). Past grants include work on prison geriatric care and dementia training. Awards include FAAN and FGSA fellowships, the ENRS President’s Award, and IAFN Achievement Award. She has served as a Visiting Professor at the University of Saskatchewan and was featured on the Johnson & Johnson/ANCC podcast. Her work emphasizes healthcare equity, end-of-life care policies, and training innovations. Projects like the ECAD-P initiative demonstrate her focus on scalable solutions for institutional healthcare challenges.
Said Dabia is an Associate Professor of Transport Optimization in the Department of Operations Analytics at the School of Business and Economics, VU Amsterdam. He joined the department as an Assistant Professor in 2014 and has established expertise in transportation modeling and optimization, with publications in leading journals including Transportation Science and European Journal of Operational Research. His educational background: PhD in Operations Research, Eindhoven University of Technology (2012) Master's in Industrial Engineering Bachelor's in Mathematics and Physics Dr. Dabia's research centers on developing exact solution methods for complex transportation problems, particularly variant Vehicle Routing Problems with real-world constraints. His work bridges academic theory and industry practice through extensive consulting experience and successful implementations with logistics partners. Key focus areas include robust optimization under uncertainty and integrating sensory data for dynamic decision-making in sustainable logistics. Analysis of his recent publications reveals a clear trajectory toward solving increasingly complex logistics challenges through advanced algorithmic techniques, with growing emphasis on sensor-driven data integration and sustainability applications in freight transport. Dr. Dabia has secured two major research grants: Sensing Logistics (SensLog): €600,000 (2018-2021) - developing sensor placement strategies and predictive models for logistics operations Sensors for Sustainable Logistics: €100,000 (2021-2022) - using sensory data to optimize temperature control and vehicle fleet mix for sustainable transport He has supervised at least one PhD thesis and coordinates multiple courses including Logistics Analysis and Mathematics. His industry engagement includes ongoing work as Algorithms Expert at Eyefreight BV since 2014, directly applying research to commercial logistics solutions.
Amanda J. Young is an Associate Professor in the Department of Communication Studies at the University of Memphis, where she has taught since 2004. Her research focuses on health communication, particularly in patient-provider interactions, health literacy, and end-of-life care. She holds a PhD in Rhetoric from Carnegie Mellon University, an MA in Technical and Professional Writing from Eastern Washington University, and a BS in English Composition from Davis and Elkins College. Her work spans qualitative studies in cystic fibrosis care, contraceptive counseling, ICU communication, and grief dynamics. Notable projects include developing mHealth resources for oncology caregivers and studying communication barriers in pediatric cancer trials. She has secured multiple grants as PI/co-PI, including NIH-funded projects on contraceptive uptake and palliative care communication. Dr. Young’s publications address themes like family caregiver communication in intensive care units, spiritual grief, and narratives in end-of-life care. She has advised over a decade of grant-funded research and contributed to curriculum development in public health programs. Her service roles include coordinating graduate studies and leading search committees within the university.
Marianella Chamorro-Koc is a Professor in the Department of Industrial Design at Queensland University of Technology's School of Design. With over 100 publications spanning more than two decades, she leads the QUT Design Lab's healthcare innovation initiatives, focusing on human-centered design approaches that bridge design theory and practical healthcare applications. Her work integrates academic research with real-world problem solving across multiple healthcare contexts. Chamorro-Koc's research interests center on healthcare design innovation, with particular expertise in accessibility design, user experience for vulnerable populations, and product usability. Her work demonstrates a consistent focus on designing for people with disabilities, pediatric healthcare experiences, and digital health technologies. She has developed innovative approaches to understanding how design can improve healthcare outcomes, particularly through empathetic and inclusive design methodologies that prioritize user needs and experiences. Her recent publications reveal a strong emphasis on healthcare design innovation, with significant contributions in pediatric medical equipment design, accessibility technologies for people with disabilities, and digital health solutions. The research trends show an evolution from foundational work in product usability to more complex healthcare system design, with increasing focus on inclusive design methodologies and co-creation approaches that involve end users as active participants in the design process. Chamorro-Koc has secured substantial research funding and leads multiple interdisciplinary projects connecting design with healthcare delivery. She has collaborated extensively with healthcare providers including Metro North Hospital and Health Services, Clinical Excellence Queensland Healthcare Accelerator Lab Program, and various international healthcare institutions. Her work bridges the gap between academic design research and practical healthcare implementation, resulting in tangible design solutions that improve patient experiences and healthcare outcomes. She leads the QUT Design Lab's initiatives in healthcare design, with particular focus on pediatric care environments, accessibility technologies, and digital health innovation. Her team employs co-design methodologies that actively involve patients, healthcare providers, and designers in the innovation process, creating solutions that are both technically sound and deeply empathetic to user needs.
Wei Zhou serves as a Research Fellow in Monash University's Department of Software Systems & Cybersecurity, actively contributing to digital health research with emphasis on artificial intelligence applications in palliative care and telehealth systems. Her current role includes Chief Investigator status on the DHCRC Translational DH Research Fellowship project (2025-2026) under the Digital Health Cooperative Research Centre. Her research program focuses on leveraging large language models for clinical consultation summarization and addressing participant recruitment challenges in digital health implementations. This work bridges software engineering with healthcare delivery, particularly targeting sensitive end-of-life care contexts where technological solutions can enhance communication efficiency and patient accessibility. Recent 2024 publications demonstrate a clear research trajectory applying AI to palliative care documentation and telehealth participant engagement, with both studies published in peer-reviewed venues (Digital Health journal and IEEE VL/HCC conference). These outputs reflect growing scholarly attention to AI's role in improving healthcare workflows for vulnerable populations. As Chief Investigator on the ongoing DHCRC fellowship, Dr. Zhou leads translational research initiatives connecting academic innovation with practical digital health implementation, though no student supervision activities or additional grant funding are documented in the provided materials.
Marianna Koukou is a Lecturer in Operations and Innovation at the Adam Smith Business School, University of Glasgow. Her research focuses on open innovation, end-user involvement, and value co-creation, with additional interests in social, sustainable, and digital innovation. She holds an associate fellowship from the Higher Education Academy and contributes to teaching at both undergraduate and postgraduate levels, including courses on creativity and innovation management. Her work explores the impact of end-user collaboration in new product development, leveraging case studies and empirical investigations. She has co-authored publications on simulation games for educational purposes and organizational compassion during crises. Marianna has supervised research on open innovation practices in SMEs and secured a £55,000 grant for an entrepreneurial education project in Malaysia. Awarded as an Associate Fellow of the Higher Education Academy, she emphasizes innovative teaching methods and student success strategies. Her interdisciplinary approach bridges academic research with practical industry challenges, particularly in supply chain traceability and regional innovation ecosystems.
