Dr. James W. Navalta is an Associate Professor in the Department of Kinesiology and Nutrition Sciences at the University of Nevada, Las Vegas. His research focuses on physiological responses to outdoor exercise (hiking, trail running) and the validity/reliability of wearable technology. He earned his B.S. in Physical Education and Biology from Brigham Young University–Hawaii, M.S. in Kinesiology from UNLV, and Ph.D. in Exercise Physiology from Purdue University. Education: B.S. - Physical Education & Biology, Brigham Young University–Hawaii M.S. - Kinesiology, University of Nevada, Las Vegas Ph.D. - Exercise Physiology, Purdue University His research portfolio includes: Wearable technology validation for physiological measurements Comparative studies of indoor vs outdoor exercise environments Impact of gender-inclusive approaches on sports science Metabolic and cardiovascular responses to unconventional workouts Psychological benefits of nature immersion Recent publications demonstrate expertise in: Wearable device accuracy testing VO2max and lactate threshold validation Environmental influence on exercise physiology Methodological improvements in data collection Gender-inclusive research design Outdoor activity impact assessment As co-founder and executive editor of the International Journal of Exercise Science, he contributes significantly to academic discourse. He also serves on editorial boards for journals related to digital health and exercise technology.
Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.
Jodi Schneider is an Associate Professor at the University of Illinois Urbana-Champaign , with affiliate appointments at the Beckman Institute , Health Care Engineering Systems Center , European Union Center , and Center for Health Informatics . She directs the Information Quality Lab and focuses on the science of science through argumentation and evidence analysis. PhD in Informatics (National University of Ireland, Galway) M.S. in Library and Information Science (UIUC) M.A. in Mathematics (UT-Austin) B.A. in Liberal Arts (St. John's College) Her research examines how scientific controversies persist through citation patterns, the role of knowledge brokers in public policy, and information quality in biomedical contexts. She has developed semantic frameworks for micropublications and knowledge maintenance in digital libraries. Recent publications include citation integrity studies in Scientometrics , retraction indexing in STI Conference , and argumentation mining in Human Language Technologies . Collaborative projects span institutions like Harvard Radcliffe Institute and RWTH Aachen . NSF CAREER Award IMLS Early Career Award Senior Member, Association of Computing Machinery Marie Curie Fellow She advises graduate students in information quality and knowledge representation , with funding from the Alfred P. Sloan Foundation , NIH , and European Commission . Her lab develops tools to combat scientific misinformation and improve public health informatics .
Trudo Lemmens is Professor and Scholl Chair in Health Law and Policy at the University of Toronto Faculty of Law. He holds cross-appointments at the Dalla Lana School of Public Health, the Temerty Faculty of Medicine, and the Joint Centre for Bioethics, reflecting his interdisciplinary expertise in health law, ethics, and policy. He has also held visiting positions at KU Leuven, Pontificia Universidad Javeriana, University of Otago, and Oxford, and was a member of the Institute for Advanced Study in Princeton. His research focuses on the legal, ethical, and governance challenges in healthcare and biomedical research. Key areas include medical assistance in dying, clinical trial transparency, pharmaceutical regulation, genetic data privacy, and conflict of interest. He has extensively analyzed how legal frameworks interact with ethical norms in contexts such as assisted human reproduction, end-of-life decisions, and public health emergencies. His work emphasizes human rights, equity, and the protection of vulnerable populations. His recent publications reveal a strong focus on the ethical and legal dimensions of medical assistance in dying, particularly regarding mental illness and advance requests. He has also published on vaccine mandates, pandemic triage ethics, and transparency in pharmaceutical data. His scholarship combines doctrinal legal analysis with empirical and policy insights, often addressing urgent public health debates. Fellowship, Royal Flemish Academy of Belgium for Science and the Arts (2006-2007) Membership, School of Social Science, Institute for Advanced Study, Princeton (2003-2004) Law Commission of Canada, Legal Dimensions Initiative Award (with Duff R. Waring) (2003) Graduate Student Paper Award, Association for Politics and the Life Sciences (1996) Doctoral Fellowship, Social Sciences and Humanities Research Council of Canada (1995-1997) Doctoral Fellowship, Fonds pour la formation de chercheurs et l'aide à la recherche du Québec (deferred) (1995-1998) Student Paper Award, Society for Health and Human Values (1995) Chief Justice R.A.E. Greenshields Memorial Scholarship for Graduate Studies in Law (1994) Trudo Lemmens has advised numerous national and international organizations, including the Pan American Health Organization (as a member of its Advisory Committee on Health Research), the World Health Organization, and the Council of Canadian Academies. He has served on expert panels examining access to health data and medical assistance in dying. His policy submissions to Canadian parliamentary committees have shaped national debates on end-of-life legislation. He has also contributed to inquiries into research ethics and institutional governance, including an independent inquiry into the University of Ottawa and its affiliated hospitals. He is actively engaged in public discourse, publishing op-eds in major media outlets and maintaining a presence on social media. His work bridges academia, policy, and public engagement, advocating for transparency, accountability, and ethical integrity in health systems and research.
Howard Forman is a Professor of Radiology and Biomedical Imaging at Yale School of Medicine, with secondary appointments in Public Health (Health Policy), Management, and Economics. He is fully joint in the School of Management and holds affiliations with the Institute for Social and Policy Studies. He serves as Director of the MD/MBA Program, the Executive MBA Healthcare Focus Area, and the Health Care Management Program at the Yale School of Public Health. He is also the Faculty Director of Finance in the Department of Radiology and an active clinician at Yale New Haven Hospital’s Emergency Department, where he serves as deputy operational chief for Radiology. Professor, Radiology & Biomedical Imaging, Yale School of Medicine Professor, School of Management Professor, Economics Professor, Health Policy & Management Director, MD/MBA Program Director, Health Care Management Program (YSPH) Faculty Director of Finance, Radiology Department Dr. Forman’s research centers on health economics, healthcare policy, quality improvement, and radiology administration. His interests include healthcare financing, cost analysis, health systems reform, and the application of AI and large language models in radiology reporting. He has extensively studied patient access to imaging reports, clinician staffing, and end-of-life cancer care. His recent work explores how AI can improve reporting accuracy while addressing ethical concerns like racial bias. His recent publications reflect a strong trend in leveraging artificial intelligence to enhance radiology workflows and patient engagement, while maintaining a focus on equity and policy implications. Articles in Radiology , JAMA Network Open , and Clinical Imaging demonstrate his leadership at the intersection of medicine, technology, and policy. Healthcare Track Teaching Award – 2025, 2023, 2017 Regent's Award – 2019 Leah Lowenstein Award – 2019 Distinguished Student Mentoring Award – 2013 Fellow, Society for Advanced Body Imaging – 2003 Dr. Forman is a dedicated educator and mentor, having founded and led multiple interdisciplinary programs. He has been instrumental in shaping health policy curricula and promoting evidence-based public health communication. He co-hosts the popular Health & Veritas podcast with Harlan Krumholz, contributing to public discourse on healthcare. He has served on editorial boards for journals including American Journal of Roentgenology and Clinical Imaging , and is actively involved in professional societies such as the Radiologic Society of North America.
Asst. Prof. Zehra Evrim Kanat serves as an Assistant Professor in the Textile and Fashion Design Department at Canakkale Onsekiz Mart University's Faculty of Fine Arts since 2020, following research assistant roles at Tekirdağ Namik Kemal University (2014-2020) and Ege University (2009-2014). Her expertise bridges academic research and industry applications in textile engineering. Her educational foundation includes: Doctorate in Textile Engineering from Ege University (2008-2013) Postgraduate in Textile Engineering from Ege University (2005-2007) Undergraduate in Textile Engineering from Ege University (1997-2002) Dr. Kanat's research centers on textile engineering and design, with specialized focus on thermal and moisture management properties of fabrics. She investigates yarn technology, cloth construction, and smart textile applications to enhance comfort in sportswear and technical garments. Her methodological approach integrates artificial neural networks and statistical modeling for predictive analysis of fabric behavior under varying humidity conditions, contributing significantly to thermophysiological comfort research. Publication trends reveal consistent advancement in thermal resistance modeling of knitted and woven fabrics, with recent expansion into smart textiles for sports applications and biomimetic design principles. Her work demonstrates strong interdisciplinary connections between textile science, materials engineering, and functional apparel design. Her research leadership includes: EU-supported project on Textile Insights and Future Aspects (2023-2024) Study on Hatay Silk's fiber properties versus Chinese-Japanese hybrid silk (2022-2023) TUBITAK-funded expert system for woven fabric defect diagnosis (2017-2018) Multiple projects on moisture management properties of technical textiles Dr. Kanat actively contributes to academic discourse through peer review for leading textile journals and participates in interdisciplinary art exhibitions that explore cultural and historical textile narratives.
Dr. Carolin Vollenberg serves as a Post-Doctoral Researcher at the Chair of Information Systems & Transformation Management within the Faculty of Computer Science at the University of Duisburg-Essen (UDE). Her academic journey includes a PhD from the University of Muenster (2021-2025), an M.Sc. in Technical Consulting and Management from Hochschule Hamm-Lippstadt (2018-2020), and a B.Eng. in Biomedical Technology from the same institution (2014-2018). Prior to her current position, she worked as a Research Assistant at South Westphalia University of Applied Sciences and gained industry experience at Zapp Systems GmbH. PhD in Business Informatics (2021-2025), University of Muenster M.Sc. Technical Consulting and Management (2018-2020), Hochschule Hamm-Lippstadt B.Eng. Biomedical Technology (2014-2018), Hochschule Hamm-Lippstadt Research Focus: Vollenberg specializes in the governance of lightweight IT systems, digital transformation in public and healthcare sectors, and process mining applications. Her work bridges technical implementation with organizational behavior, particularly examining resistance to automation in sensitive domains like healthcare. She investigates how organizations navigate unintended consequences of technology adoption, with emphasis on RPA (Robotic Process Automation), omnichannel transformation, and data-driven process optimization. Her research methodology combines ethnographic field studies with quantitative process analysis. Publication Trends: Analysis of her 16 publications (2020-2025) reveals strong focus on healthcare IT (45% of works), public sector digitalization (30%), and foundational process management (25%). Recent output shows increasing emphasis on ethical dimensions of process mining and sustainability applications. Her collaborative work spans multiple European institutions with consistent publication in top IS conferences (ICIS, ECIS, HICSS). Best Paper nomination at HICSS-55 (2022) Associate Editor for General Track at Internationale Tagung Wirtschaftsinformatik (WI) 2025 Professional Engagement: Vollenberg actively contributes to academic discourse through editorial roles and peer review. Her industry collaborations with healthcare providers and public sector entities demonstrate applied research impact. Current projects examine virtual nursing transformations and crisis-responsive RPA implementations, reflecting her commitment to solving real-world operational challenges through information systems innovation.
Pamela Klassen is Professor and Chair in the Department for the Study of Religion at the University of Toronto, cross-appointed to Anthropology. She is a Fellow of the Royal Society of Canada and has held distinguished positions including William Lyon Mackenzie King Chair at Harvard University and Distinguished Visiting Professor at the University of Tübingen. Professor Klassen's research focuses on the anthropology of religion with particular attention to: Colonialism, treaties, and public memory in North America and Turtle Island Global Christianities and their relationship to Indigenous lands Religion, ritual, and museum studies Digital humanities approaches to religious history Gender, spirituality, and religious authority Her scholarly work demonstrates a consistent engagement with how religion shapes and is shaped by colonial histories, public memory, and contemporary political struggles. Klassen's research bridges academic inquiry with public-facing projects that collaborate with Indigenous communities, particularly the Rainy River First Nations. Among her notable awards are the American Academy of Religion Award of Excellence (2012), the Northrop Frye Award of Excellence (2015), and the Anneliese Maier Research Award from the Humboldt Foundation (2015-2020). She was elected as a Fellow of the Royal Society of Canada in 2019. Professor Klassen actively mentors graduate students and has supervised numerous PhD candidates working at the intersection of religious studies, anthropology, and Indigenous studies. Her current research includes a book on the public memory of gold rushes in settler colonies and ongoing collaborative work with the Kay-Nah-Chi-Wah-Nung Historical Centre. She leads several major collaborative projects including "Kiinawin Kawindomowin Story Nations," a digital storytelling initiative focused on restorying colonial documents about Manidoo Ziibi (Rainy River), and "Treaty Conversations," an educational resource about treaty relationships in Ontario.
Courtney N. Reed is a Lecturer in Digital Technologies at Loughborough University London, where she joined in November 2023. She maintains a dual role as a visiting research fellow at the Max Planck Institute for Informatics. Her academic journey includes a BMus in Electronic Production and Design from Berklee College of Music (2016), followed by an MSc (2018) and PhD (2023) in Computer Science from Queen Mary University of London. Prior to her current position, she completed postdoctoral research at both the Max Planck Institute for Informatics and King's College London. Bachelor of Music: Electronic Production and Design, Berklee College of Music (2016) Master of Science: Computer Science, Queen Mary University of London (2018) Doctor of Philosophy: Computer Science, Queen Mary University of London (2023) Dr. Reed's research explores the entangled relationships between humans, bodies, instruments, and technology in music interaction, with particular focus on vocal electromyography (VoxEMG) and the vocalist-voice relationship. Her work incorporates feminist and post-human theories to examine sociopolitical contexts within arts technology, aiming to design for creativity while acknowledging individual, messy bodies in artistic practice. She has developed an open-source platform for vocal electromyography to investigate how biosignal feedback changes understanding and perception of the body in vocal performance. Her interdisciplinary approach bridges music technology, human-computer interaction, and embodied interaction studies. Analysis of Dr. Reed's recent publications (2023-2025) reveals a strong thematic focus on embodied interaction in music technology, with particular emphasis on vocal performance, biosignal feedback, and the philosophical underpinnings of digital instrument design. Her work consistently integrates theoretical frameworks like Karen Barad's agential realism with practical applications in digital musical instruments. Key trends include the exploration of ambiguity in data representation, the sociocultural dimensions of timbre in instrument design, and the development of novel methodologies for understanding embodied musical experiences through micro-phenomenology and ethnographic approaches. ACM SIGCHI Outstanding Dissertation Award (2024) for her thesis 'Imagining & Sensing: Understanding and Extending the Vocalist-Voice Relationship Through Biosignal Feedback' Best Newcomer Award at Loughborough University London's Community Awards Celebration (2024) Dr. Reed actively contributes to the academic community through conference organization and leadership roles. She serves as Member-at-Large on the NIME Board, previously chaired papers for NIME 2024, and co-organized the IBM SkillsBuild Sprint at Loughborough London. She has also chaired sessions at the ACM TEI Conference and co-chaired the Student Design Competition. Her collaborative work spans multiple institutions and includes significant contributions to interdisciplinary projects that bridge music, technology, and human experience. She has been instrumental in developing the senSInt research group and the RaveNET wearable network project. Dr. Reed leads the senSInt research group which focuses on sensorimotor interaction in music and performance contexts. The group develops innovative technologies including the VoxEMG platform for vocal electromyography, the Bones anti-corset for vocal performance, and the RaveNET network of wearable biosensing nodes. These projects explore the intersection of biosignals, embodied interaction, and musical expression, creating novel frameworks for understanding how technology mediates human creativity and performance. The group frequently collaborates with musicians, technologists, and theorists to develop and test these systems in real-world performance contexts.
Lukas Engelmann is a Senior Lecturer at the University of Edinburgh , specifically within the Science, Technology and Innovation Studies department under the School of Social and Political Science . His research focuses on the history and sociology of biomedicine , with particular interest in epidemiological reasoning , visual cultures of disease , digital epidemiology , and decolonial approaches to medical history . The Epidemy Lab , which he founded, explores the historical development of epidemiology and its contemporary influence on data-driven public health and pandemic policy-making . Engelmann's work has been funded by prestigious grants including an ERC Starting Grant (2021-2025) for his research on the history of epidemiological reasoning, and support from the Wellcome Trust for projects examining the social dimensions of digital health . His book 'Mapping AIDS' (2018) established him as a leading scholar in medical visualization , while 'Sulphuric Utopias' (2020) with Christos Lynteris explores the technological history of maritime sanitation and its political implications. Recent publications emphasize the visual and data practices that have shaped epidemiology, including works on epidemic modeling during the COVID-19 pandemic , the history of plague mapping , and the ethical implications of digital phenotyping . He has also contributed to interdisciplinary discussions on syndemics , co-infection epistemology , and the commercialization of bacteriology in the early 20th century. His scientific contributions have earned recognition through editorial roles in journals like Big Data and Society , and collaborative projects such as 'Working with Diagrams' (2022) which investigates the epistemological role of visual tools in medical knowledge production. Scientific Awards and Funding: ERC Starting Grant (2021-2025) Wellcome Trust Institutional Support Fund British Academy/Leverhulme Small Research Grant Chancellor's Fellowship (University of Edinburgh) 'Sulphuric Utopias' listed in The Guardian's 30 Books to Understand the World (2020)
Jennifer E Miller is an Associate Professor of Medicine (General Internal Medicine) and Biomedical Informatics & Data Science at Yale School of Medicine. She serves as Co-Director of the Program for Biomedical Ethics and holds leadership positions including Director of the Good Pharma Scorecard (an index that ranks pharmaceutical companies on bioethical performance) and Founder of Bioethics International. Her academic appointments reflect her interdisciplinary expertise spanning clinical medicine, ethics, and data science. Dr. Miller's research program focuses on critical ethical dimensions of biomedical innovation, with particular emphasis on ethics, equity and governance in drug, vaccine, and medical device research, development, and accessibility. She specializes in developing metrics to enhance accountability and social responsibility in the pharmaceutical industry. Her work examines clinical trial diversity, international research ethics, healthcare data sharing, and the implementation of ethical frameworks in medical product development. Through the Good Pharma Scorecard initiative, she has created a systematic approach to evaluating pharmaceutical company performance across multiple ethical dimensions including clinical trial transparency, diversity in research participation, and access to medicines. Analysis of Dr. Miller's recent publications (2021-2025) reveals a strong thematic focus on diversity and equity in clinical research, with particular attention to demographic representation in trials, ethical considerations in international trial site selection, and equitable access to newly approved drugs and vaccines. Her work bridges bioethics, health policy, and data science, creating measurable frameworks for assessing ethical performance in the pharmaceutical industry. The interdisciplinary nature of her research connects clinical medicine, public health, and corporate accountability, with direct implications for regulatory policy and industry practice. Appointment to World Economic Forum Center for the Fourth Industrial Revolution, Precision Medicine Council (2019) Appointment to World Economic Forum Biotechnology Council (2018) Appointment to World Economic Forum Futures Council (2017) Appointment to World Economic Forum Human Enhancement Working Group (2017) Fellow at Foundation Brocher for Ethical Issues in Global Population Health (2014) As Director of the Good Pharma Scorecard and Founder of Bioethics International, Dr. Miller leads initiatives that connect academic research with practical applications in industry ethics. Her work involves collaboration with pharmaceutical companies, regulatory agencies, and patient advocacy groups to develop and implement ethical standards in biomedical innovation. Through editorial roles at journals including Nature Medicine, The BMJ, and JAMA, she influences discourse on research ethics and scientific integrity. Dr. Miller is actively involved in advising and mentorship through her academic appointments at Yale, where she contributes to training the next generation of researchers in biomedical ethics and data science.
Professor Paul Rayson is a Professor of Natural Language Processing in the School of Computing & Communications at Lancaster University, UK. He serves as Director of the UCREL (University Centre for Computer Corpus Research on Language) interdisciplinary research centre and is affiliated with multiple research institutes including Security Lancaster, the Lancaster Centre for Digital Humanities, and the Data Science Institute. Education: PhD in Computer Science, Lancaster University (2003) BSc (Hons) Computer Science and Mathematics, Lancaster University (1990) Professor Rayson's research focuses on semantic multilingual Natural Language Processing (NLP) in challenging linguistic environments with noisy language data, including historical texts, learner language, speech, email, and other computer-mediated communication. His work spans applications in dementia detection, mental health analysis, online child protection, cyber security, learner dictionaries, and text mining of biomedical literature, historical corpora, and financial narratives. He has developed semantic tagging tools like USAS (UCREL Semantic Analysis System) and Wmatrix for corpus analysis. Major Awards and Honors: FHEA (Fellow of the Higher Education Academy) MBCS (Member of the British Computer Society) Professor Rayson has supervised numerous PhD students in NLP and corpus linguistics, with eight current students and seven completed doctorates. He has led or co-investigated multiple major research projects including the £3.5m ESRC-funded Centre for Corpus Approaches to Social Science (CASS), the National Corpus of Contemporary Welsh, and projects related to mental health forums, financial narrative analysis, and cyber security. His research has been supported by ESRC, EPSRC, and other funding bodies. As Director of UCREL, he oversees research in corpus linguistics and NLP. He is also active in the Cyber Security Research Centre, Digital Health Group, and multiple Data Science Institute initiatives. His lab has developed several widely-used NLP tools including CLAWS for English POS tagging, USAS semantic analysis system, Wmatrix corpus analysis tool, and the Variant Detector (VARD) for historical texts.
Brenton Faber is a Humanities & Arts Professor affiliated with the Department of Biomedical Engineering at Worcester Polytechnic Institute (WPI) . He holds a B.A. in Political Science & English from the University of Waterloo (1992), an M.A. in English from Simon Fraser University (1993), and a Ph.D. in English from the University of Utah (1998). His research focuses on healthcare delivery for uninsured populations, medical writing, and the application of allostasis theory to healthcare systems. He volunteers as a practicing paramedic with rural ambulance squads and urban clinics. Education: B.A. (University of Waterloo), M.A. (Simon Fraser), Ph.D. (University of Utah) Faber’s lab investigates human factors in medical diagnosis and patient care, emphasizing pre-hospital care and clinical report analysis. His work integrates allostasis concepts to address chronic health conditions and patient decision-making. Current projects include a free urban clinic’s electronic database initiative and a 'food is medicine' program targeting hypertension/diabetes patients. He advises an undergraduate research team and co-founded the 'Medical Mystery' series in WPI’s student newspaper. His recent publications span healthcare logistics, emergency medicine, and discourse analysis. Notable works include The End of Genre (2022) and studies on community paramedicine optimization (2023). While no formal awards are listed, his contributions to medical communication and patient advocacy are central to his scholarly identity. Advising focuses on interdisciplinary teams addressing public health challenges. Collaborative grants are not explicitly mentioned, but his work with free clinics and paramedic squads highlights community-oriented engagement. His lab’s activities emphasize translational research bridging humanities and biomedical engineering disciplines.
FURUZUKI, Takayuki is a Professor at Waseda University's Faculty of Science and Engineering, Graduate School of Information, Production, and Systems. He holds a PhD from Kyushu Institute of Technology and maintains the NCLab research group (http://nclab.w.waseda.jp/nclab/). His professional memberships include the Institute of Electronics, Information and Communication Engineers, Institute of Electrical Engineers of Japan, Society of Instrument and Control Engineers, and IEEE. His educational background includes a PhD in Information Science from Kyushu Institute of Technology (1994-1997), a Master's degree in Electronics Engineering from Sun Yat-Sen University (1983-1986), and a Bachelor's degree in Electrical & Electronic Systems Engineering from Sun Yat-Sen University (1979-1983). Professor FURUZUKI's research spans neural networks, genetic algorithms, system identification and control, complex systems, bioinformatics, and combinatorial optimization. His work integrates soft computing techniques with medical informatics and control systems engineering, developing innovative approaches for problems ranging from brain tumor segmentation to music information retrieval. His research methodology often combines theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His recent publication record shows a strong focus on sequential recommendation systems, graph neural networks for medical imaging, music information retrieval, and power systems analysis. The consistent thread across his work is the application of advanced machine learning techniques to solve complex, real-world problems across diverse domains, with particular emphasis on handling missing data, improving model efficiency, and enhancing prediction accuracy. His scientific achievements have been recognized with several prestigious awards: ISCIIA2008 Excellent Paper Award (2008) Institute of Electrical Engineers of Japan Excellent Paper Award (2001) Guangdong Province Higher Education Science and Technology Progress Second Prize (1991) Guangdong Province Higher Education Science and Technology Progress Second Prize (1989) Chinese Ministry of Education Scientific and Technological Achievements Second Prize (1986) Professor FURUZUKI has maintained continuous research activity since joining Waseda University in 2003, with significant contributions to multiple research projects spanning neural computation, soft computing, and system engineering. His work demonstrates strong international collaboration, with publications involving researchers from various institutions worldwide. His research output includes over 410 papers with 3,623 citations and an h-index of 23 according to Scopus data. The NCLab research group, which he leads, focuses on neural computation and related areas, providing a platform for interdisciplinary research that bridges theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His laboratory environment fosters innovation in machine learning algorithms and their application to real-world problems, with particular emphasis on developing efficient, robust solutions for complex data analysis tasks.
Nazli Goharian is a Clinical Professor of Computer Science at Georgetown University and Associate Director of the Information Retrieval Lab. She holds a PhD from Florida Institute of Technology and joined Georgetown in 2010 after industry experience and previous academic positions at Illinois Institute of Technology. Education: PhD Computer Science, Florida Institute of Technology (2001) MSc Computer Science, George Mason University (1995) BSc Computer Science, Dortmund University (1992) Her research spans information retrieval, text mining, and natural language processing with applications in health/medical domains. She focuses on developing computational methods for medical search, mental health analysis from social media, clinical text summarization, and adverse drug reaction detection. Her recent publications (2020-2016) predominantly focus on neural ranking models, transformer architectures for document retrieval, and clinical NLP applications. Notable trends include work on BERT-based re-ranking, zero-shot multilingual retrieval, and ontology-aware medical summarization. Awards & Honors: EMNLP 2017 Best Long Paper Award COLING 2018 Honorable Mention & Area Chair Favorite Julia Beveridge Award for Faculty (IIT, 2009) Multiple Teaching Excellence Awards (2002-2007) Research Leadership: She has supervised 6 PhD students to completion with placements at leading institutions. Secured over $500,000 in research funding from NSF, Adobe, and international partners. Founded the Semi-Annual Graduate Research Presentation Days at Georgetown and served as Program Chair for ECIR 2024. She leads the Information Retrieval Lab which focuses on developing novel algorithms for efficient document retrieval, cross-lingual search, and specialized applications in healthcare text analysis.
