Find Academic Supervisors

• Human-Computer Interaction
• Personalized User Interfaces
• Universal Usability
• +4 more

Joanna McGrenere is a Professor in the Department of Computer Science at the University of British Columbia . Her research focuses on Human-Computer Interaction , Personalized User Interfaces , and Universal Usability , particularly for older adults and users with aphasia . She has extensively published on cross-device learnability , collaborative environments , and adaptive interface design . Research Interests: Human-Computer Interaction Personalized User Interfaces Universal Usability Interactive Technologies for Aging Populations Recent Publications address: real-time feedback in online meetings (2025), AI support for interviews (2025), financial technology for older adults (2025), ambient social systems (2025), computer-mediated self-disclosure (2025), digital home health assessments (2024), and intergenerational VR communication (2024). Key trends show increasing focus on age-inclusive design , context-aware interfaces , and interruption management . Collaborations include: Leah Findlater (University of Washington), Andrea Bunt (University of Manitoba), Karyn Moffatt (McGill University), and Kellogg S. Booth (University of British Columbia). Her work appears in journals like ACM Transactions on Accessible Computing and International Journal of Human-Computer Studies .

Mirjam KallandView profile

Professor

• Diversity in Education
• Multilingualism
• Social Justice in Education
• +2 more

Mirjam Kalland is a Professor at the Department of Educational Sciences , University of Helsinki, and a docent in the Faculty of Social Sciences . She supervises doctoral programs in Social Sciences, Cognition/Learning, and School/Education/Society. Her research focuses on Diversity, Multilingualism, Social Justice in Education , and Parental Reflective Functioning . She leads funded projects like SAGA 2.0, FutureLearn, and Families First. Arvo Ylppö Medal (2015) Edita Award for Best Textbook (1999) Fredrika Runeberg Award (2004) Golden Helsinki Medal (2012) Knight, First Class of the Order of the Lion of Finland (2013) Her recent 15 articles (2024-2025) explore topics such as parental reflective functioning, health-related quality of life in ECEC, and socioemotional development in early education. She actively participates in media discussions on educational reforms, parenting ethics, and social justice, with notable mentions in outlets like Hufvudstadsbladet . Her work bridges academic research and policy implementation, focusing on Finnish and Nordic educational contexts.

Puig Oriol, XavierView profile

Assistant Professor

• Bayesian data analysis
• Model Based clustering
• Multinomial model
• +7 more

Xavier Puig is an Assistant Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Department of Statistics and Operations Research and the School of Mathematics and Statistics (FME). He is a member of the ADBD - Analysis of Complex Data for Business Decisions and GRBIO - Biostatistics and Bioinformatics Research Group . His research focuses on Bayesian data analysis , with applications in Epidemiology Ecology Public health Political science Industrial quality control Marketing analytics Recent publications reveal a strong trend in Bayesian spatiotemporal modeling for health data, alcohol-migraine interaction studies, and industrial error rate monitoring . His work combines methodological innovation with real-world applications across diverse sectors. Collaborations include researchers from biostatistics, clinical epidemiology, and industrial engineering. He has contributed to 44 indexed journal articles and participated in 49 congress presentations , with recent projects focusing on competitive research and non-competitive industrial collaborations in statistical modeling.

Douglas D. HodsonView profile

Professor

• Computer Engineering
• Software Engineering
• Real-Time Distributed Simulation
• +7 more

Douglas D. Hodson is a Professor of Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, affiliated with the Department of Systems and Engineering Management within the Graduate School of Engineering and Management. He holds a PhD in Computer Engineering from AFIT (2009), an MBA and MS in Electro-Optics from the University of Dayton, and a BS in Physics from Wright State University. His research focuses on computer engineering, software engineering, real-time distributed simulation, and quantum communications , with a strong emphasis on Quantum Key Distribution (QKD) systems, modeling and simulation (M&S), and Live-Virtual-Constructive (LVC) environments. His work integrates cybersecurity, network performance, and advanced simulation frameworks such as AFSIM and SwarmSim. His recent publications (2021–2022) reflect a trend toward secure distributed systems, AI-driven classification, fog modeling in military simulations, and opinion dynamics in social systems. These works span disciplines including cybersecurity, artificial intelligence, defense modeling, and environmental effects in multi-domain operations. Scientific Awards and Honors: IEEE Senior Member (2021) Outstanding Achievement Award, World Congress in CSCE (2018) SOCHE Faculty Excellence Award (2017) Harold Brown Award (2015) Multiple AFIT Civilian Category III Awards (2014, 2013) Dayton Area Graduate Studies Institute Scholar (2003–2007) Rev. Raymond A. Roesch, S.M., Award of Excellence, University of Dayton MBA (1998) Advising and Grants: Dr. Hodson has advised numerous graduate students, many of whom are co-authors on his publications. His research has been supported by AFIT, AETC, and collaborative defense-focused grants, particularly in quantum communications and simulation technologies. He has led or contributed to teams receiving Air Force Modeling and Simulation Team Awards and QKD Research Team Awards. Labs and Teams: He is a key contributor to the AFIT Quantum Communications and Modeling & Simulation research teams, working on projects involving AFSIM, QKD system modeling, decoy state protocols, and swarm UAV simulation. His lab environment fosters interdisciplinary collaboration in cybersecurity, physics, and software engineering.

Julie A. BrownView profile

Professor

• Patient Experience
• Health Care Quality Measurement
• Survey Research Methodology
• +5 more

Julie A. Brown is a Senior Survey Researcher and Professor at the RAND School of Public Policy, with expertise in health care quality measurement, patient experience, and survey methodology. She serves as RAND's Director of Survey Market Development, leading efforts to promote survey tools and capabilities. Brown holds a B.A. in Social Ecology from the University of California at Irvine. Primary Role: Senior Survey Researcher Academic Rank: Professor of Policy Analysis Key Projects: CAHPS® survey design, CMS contracts for Medicare Shared Savings Program and MIPS, response rate optimization Her research focuses on health care program evaluation, patient-centered care, and chronic disease management. She has extensive experience in instrument development, cognitive testing, and managing multi-disciplinary teams for large-scale surveys. Brown's recent articles highlight trends in mixed-mode survey protocols, response rate improvements, and CAHPS® measure refinements across diverse health care settings. Notable contributions include evaluating CAHPS® implementation in Medicare Advantage plans, developing care coordination metrics, and analyzing disparities in patient experience. She has led field tests and cognitive interviews to refine survey instruments for Medicaid and dental care sectors, ensuring validity and reliability in data collection. As a project director and co-principal investigator for CMS contracts, she plays a pivotal role in shaping quality assessment frameworks for health care providers and insurance plans. Her work bridges policy analysis with practical survey design, influencing national standards for patient experience measurement.

Tracy C. KruegerView profile

Professor

• Military Personnel Management
• Military Recruitment
• Workforce Development
• +3 more

Tracy C. Krueger is a Senior Behavioral Scientist at the RAND Corporation and a Professor of Policy Analysis at the RAND School of Public Policy. She specializes in military talent management, focusing on enhancing individual and organizational performance through research on recruitment, assessment, and retention strategies. Her expertise spans workforce management, performance measurement, program evaluation, and military education/training systems. Dr. Krueger holds a B.S. in Psychology from Davidson College and a Ph.D. in Industrial-Organizational Psychology from George Mason University. Her research addresses challenges in highly specialized military communities, including U.S. Air Force Special Warfare (AFSPECWAR) and Army leadership roles. Key areas of investigation include operator selection processes, nontechnical skills development, and reducing leadership workloads. Her work emphasizes practical frameworks for improving military assessment protocols, such as the Air Force Special Warfare evaluation system. She has also developed tools to translate veterans' military skills into civilian employment contexts, bridging gaps between military and private-sector employers. Recent projects include analyzing AI integration for military/civilian leaders and evaluating cyber capabilities within reserve components. Her research consistently prioritizes actionable insights for enhancing mission readiness and organizational effectiveness. Though no formal awards are listed, her contributions to military workforce strategy have informed policy decisions at the Department of the Air Force and U.S. Army. Krueger collaborates with multidisciplinary teams at RAND to address complex talent management challenges in defense organizations.

• Skeletal Muscle Regeneration
• Neurovascular Tissue Regeneration
• Biomaterials for Soft Tissue Applications
• +3 more

Aaron B. Morton is an Assistant Professor in Kinesiology and Sport Management at Texas A&M University, directing the Soft Tissue Regeneration and Applied Biomaterials (STRAB) Laboratory. He holds a Ph.D. in Exercise Physiology from the University of Florida (2018) and prior degrees from the University of West Florida and Harding University. His research focuses on skeletal muscle regeneration, neurovascular tissue interactions, and inorganic biomaterials for soft tissue applications, with emphasis on biomaterial development for muscle injuries and dystrophy treatment. Key research grants include a $495,972 TAMU Advancing Discovery award (2023–2025) and an NIH Loan Repayment Award for Pediatric Research (2020–2022). He has authored patents on biomaterials for stem cell dispersion and muscle treatment methods. Teaching includes KINE427 (Therapeutic Principles) and KINE433 (Exercise Physiology). Notable awards include the Microcirculatory Society Pappenheimer Postdoctoral Travel Award (2022) and multiple poster awards at physiology conferences. His work bridges biomechanical engineering with clinical applications, emphasizing translational research in regenerative therapies.

Ole MadsenView profile

Professor

• Robotics
• Automation
• Industry 4.0
• +6 more

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

• Smart Grids
• Sustainable Energy Systems
• Information and Communication Technologies for Smart Grids
• +6 more

Néstor Rodríguez Pérez is an Assistant Professor at the Technological Research Institute (IIT) of Comillas Pontifical University, affiliated with the School of Engineering. His research focuses on smart grids, digitalization of power systems, and the integration of information and communication technologies (ICT) in energy networks. His research interests include sustainable smart grids, IoT in power systems, cybersecurity (particularly MaDIoT attacks), scalability and replicability of digital solutions, TSO-DSO coordination, and edge computing for grid applications. He applies advanced modeling and simulation techniques to evaluate the performance and security of modern power systems. The recent publications reflect a strong trend in analyzing the digital transformation of electricity distribution networks, with emphasis on ICT architecture, cybersecurity threats, and scalability of communication protocols such as Modbus TCP and wireless M-Bus. His work bridges theoretical modeling with practical implementation in European power systems, often in the context of EU-funded projects. He has been involved in significant research grants and projects funded by the European Commission (Horizon 2020 and Horizon Europe), the State Research Agency (AEI), and the Naturgy Foundation. These projects focus on digital twins, grid resilience, flexibility solutions, and transnational smart grid platforms. He has conducted a research stay at the Electrical Sustainable Energy Department of TU Delft and has been active in knowledge dissemination through technical reports, workshops, and invited seminars at IIT Comillas and international forums.

Karsten SchulView profile

Researcher

• Team Sports
• Decision Making
• Gaze Behavior
• +5 more

Karsten Schul is a researcher at the Institute of Exercise Training and Sport Informatics at German Sport University Cologne, specializing in Cognition in Team Sports . His work focuses on decision-making, gaze behavior, and inclusion in basketball contexts, with a strong emphasis on translating research into practical applications. Active projects include holistic referee training protocols and data-driven models for performance analysis. Recognized with multiple awards, including the Excellence in Research Award (2023). Research Trends : Recent publications highlight advancements in 3x3 basketball implementation, cognitive coaching techniques (e.g., wingwave®), and video-based training for referees. Key subfields include inclusive sports design, visual attention dynamics, and analytical tools for team sports. Scientific Awards : Excellence in Research Award (2023) Lehrpreis - Praxiskurs/Übung (2013, 2019) Wo Kicker Körbe werfen (2022)

Boyan Paskalev BontchevView profile

Professor

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +5 more

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

• Cancer Drug Development
• Translational Research
• Pre-clinical Studies
• +5 more

Rena S. Lapidus, PhD is an Associate Professor in the Department of Medicine at the University of Maryland School of Medicine. She serves as the Director of the Translational Laboratory Shared Service (TLSS) at the University of Maryland Greenebaum Comprehensive Cancer Center (UMGCCC), where she also holds the positions of Project Coordinator of the Translational Working Group and Assistant Director of the UMGCCC Shared Services. With over 23 years of experience spanning both industry and academia, Dr. Lapidus brings extensive expertise in cancer drug development and translational research. Dr. Lapidus earned her Bachelor of Arts in Chemistry from Boston University, followed by a PhD in Pharmacology from the University of Maryland School of Medicine. She completed her postdoctoral training at The Johns Hopkins Oncology Center. Her career includes 12 years in the pharmaceutical industry working on small molecule drug development, followed by 11 years leading the TLSS at UMGCCC. Dr. Lapidus's research focuses on translating novel drugs from bench to bedside through comprehensive preclinical testing. Her laboratory specializes in cancer drug development , particularly for acute myeloid leukemia (AML), with expertise in translational research , pre-clinical studies , and in vivo cancer models . The TLSS under her direction conducts both in vitro studies (proliferation and cell death assays, IC50 generation, apoptotic assays, Western analysis) and in vivo studies (maximum tolerated dose studies, pharmacokinetic studies, cancer efficacy and pharmacodynamic studies). The laboratory has developed numerous novel flank, orthotopic and primary xenograft models to test novel compounds in cancer and possesses an umbrella Animal Use protocol approved for oncology studies. Analysis of Dr. Lapidus's recent publications (2023-2025) reveals a strong focus on innovative therapeutic approaches for acute myeloid leukemia, particularly exploring combinations of pegcrisantaspase with venetoclax and other agents to overcome drug resistance. Her work also extends to pancreatic cancer, head and neck squamous cell carcinoma, and breast cancer, with particular emphasis on metabolic targeting, epigenetic therapies, and biomarker development for treatment response prediction. A notable trend is her investigation of amino acid metabolism (particularly glutamine) as a therapeutic target in hematologic malignancies. Dr. Lapidus has extensive experience mentoring researchers and collaborating on translational projects. Her laboratory serves as a critical resource for UMGCCC investigators seeking preclinical data to support grant applications and clinical trial development. The TLSS provides essential services including in vitro and in vivo testing of novel compounds, pharmacokinetic studies, and development of specialized cancer models. The Translational Laboratory Shared Service under Dr. Lapidus's direction is equipped with the necessary tools to generate in vivo oncology data for preclinical investigators. The laboratory has particular expertise in developing and utilizing various xenograft models to test novel cancer therapeutics. Dr. Lapidus's unique background bridging industry drug development and academic research enables her to effectively translate scientific discoveries into clinically relevant applications.

Marika Apostolova TrpkovskaView profile

Associate Professor

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +4 more

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

Julia L. FinkelsteinView profile

Associate Professor

• Epidemiology and Nutrition
• One-carbon metabolism
• Maternal and child health
• +3 more

Julia L. Finkelstein, MS, MPH, ScD, is Associate Professor of Epidemiology and Nutrition in the Division of Nutritional Sciences at Cornell University’s College of Human Ecology and concurrently Associate Professor of Epidemiology in the Division of Epidemiology, Department of Population Health Sciences at Weill Cornell Medical College. She is the Follett Sesquicentennial Faculty Fellow , Director of the Maternal and Child Nutrition Program , and co-Director of the Joan Klein Jacobs Center for Precision Nutrition and Health , the Cochrane Center , and the WHO Collaborating Centre at Cornell. She also holds an adjunct Associate Professor appointment at St. John’s Research Institute, Bengaluru, India . Education Bachelor of Science – McGill University, Montréal, Canada Master of Public Health – Brown University, USA Master of Science – Harvard University (Epidemiology and Nutrition) Doctor of Science – Harvard University (Epidemiology and Nutrition) Research Focus Dr. Finkelstein is an epidemiologist whose laboratory centers on one-carbon metabolism and its role in women’s health across the lifespan—from preconception through pregnancy and postpartum. She designs and conducts large-scale randomized clinical trials, cohort studies, and surveillance programs in resource-limited settings in India, Sub-Saharan Africa, Latin America, and the United States . Her work integrates precision nutrition, mobile point-of-care diagnostics, and AI-driven analytics to improve maternal, neonatal, and child health outcomes. Scientific Awards & Honors NIH Technology Accelerator Challenge Prize – Innovative Global Health Diagnostics SUNY Chancellor Award for Scholarship & Creative Activities International Life Sciences Institute (ILSI) Award – Leadership in Nutrition Chair, Federation of American Societies for Experimental Biology (FASEB) One-Carbon Metabolism Research Interest Group (recently elected) Grants & Leadership Roles Dr. Finkelstein is Program Director of an NIH-funded training program on maternal and child nutrition and leads the Clinical Core of the NIH-funded PORTENT Center (Point-of-Care Diagnostics for Nutrition, Infection, and Cancer) within the NIH POCTRN network. She is a Global Public Voices Fellow (2021–22) through Cornell’s Einaudi Center, advocating for social and health equity in vulnerable populations. Laboratory & Teams The Finkelstein Laboratory at Cornell focuses on mechanistic and translational research in one-carbon metabolism, leveraging state-of-the-art biomarker assays, body-composition analyses, and microbiome profiling to develop and test precision nutrition interventions for women and children globally.

• Alzheimer's Disease Research
• Cognitive Disorders
• Neuropsychology
• +5 more

Dr. Kathleen Anne Welsh-Bohmer is a distinguished Professor of Psychiatry and Behavioral Sciences at Duke University School of Medicine, with secondary appointments in Neurology and Psychology and Neuroscience. She serves as the Director of Outreach and Recruitment Core of the Duke/UNC Alzheimer Disease Research Center and is a member of the Duke Clinical Research Institute and Duke Institute for Brain Sciences. Dr. Welsh-Bohmer earned her Ph.D. from the University of Virginia in 1985. Her research career has focused on developing effective prevention and treatment strategies to delay the onset of cognitive disorders in later life. From 2006 through 2018, she directed the Joseph and Kathleen Bryan Alzheimer's Center in the Department of Neurology and oversaw neuropsychology operations for the global TOMMORROW clinical trial. Currently, she directs the Alzheimer's disease therapeutic area within the Duke Clinical Research Institute and collaborates with VeraSci to develop digital cognitive assessment tools for early Alzheimer's disease detection. Her research spans multiple domains of Alzheimer's disease and cognitive aging, with particular emphasis on developing reliable digital cognitive assessment tools informed by neuroscience and technology advances. Her work addresses critical gaps in early pre-clinical Alzheimer's disease detection and has significant implications for both clinical practice and accelerating global clinical trials for Alzheimer's prevention. She has made substantial contributions to understanding genetic factors in cognitive decline, particularly through her work with the TOMM40 and APOE genes. Analysis of her recent publications reveals a strong focus on advancing diagnostic methods, understanding genetic risk factors, developing digital assessment tools, and examining cognitive trajectories in aging populations. Her research bridges basic neuroscience with clinical applications, with increasing emphasis on technology-enabled assessment methods and precision medicine approaches to Alzheimer's disease. Dr. Welsh-Bohmer has been actively involved in numerous major research initiatives including the Cache County Memory Study and the TOMMORROW clinical trial. Her collaborative approach spans multiple institutions and research domains, reflecting the interdisciplinary nature of modern Alzheimer's research. She has contributed significantly to understanding how vascular factors, genetic markers, and lifestyle factors influence cognitive aging and dementia risk. Her laboratory and research team focus on developing and validating cognitive assessment tools that can detect subtle changes in cognitive function before clinical symptoms of dementia emerge. This work involves close collaboration with technology companies, clinicians, and basic scientists to create assessment methods that are both scientifically rigorous and practical for clinical use.