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Diego Casado MansillaView profile

Researcher

University of DeustoSpain

Dr. Diego Casado Mansilla is a Researcher at the MORElab group within the Department of Computing, Electronics and Communication Technologies at the College of Engineering, University of Deusto. His work bridges Sustainable Human-Computer Interaction (HCI), Persuasive Technologies, and Internet of Things (IoT) systems to drive behavior change in energy consumption, urban sustainability, and STEM education accessibility. Education: PhD in Persuasive Technologies for Sustainability and Behavior Change (2016), University of Deusto His research spans two decades, focusing on Sustainable Design , Physical Interaction with Everyday Objects , and Human-Centric IoT Systems . He has led projects like Suggestive Autonomy (2016) and co-led GreenSoul (2017, 2019), which employ IoT for energy awareness in public buildings. Current projects include AmIAire (air quality monitoring) and Urban Adaptation and Alert Solutions (climate resilience, 2024-2028). Key trends in his 20+ publications (2012-2025) include: Energy efficiency in tertiary buildings and smart cities IoT protocols (CoAP, IEC 61850) for industrial and urban systems Behavioral economics and nudging for sustainable decisions Rural STEM education via remote experiments Privacy-preserving smart workplace systems Climate change perception studies across generations His supervised theses and projects address User Diversity , Edge Computing , and Industry 4.0 Adoption . He collaborates with European institutions on grants from the Ministry of Science and Innovation and European Commission , contributing to citizen science initiatives like SOCIO-BEE and educational tools such as EngageMate and Computario .

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Pontus GiselssonView profile

Associate Professor

Saarland UniversityGermany

Pontus Giselsson is an Associate Professor at the Department of Automatic Control within the Faculty of Engineering, LTH at Lund University . His research focuses on optimization theory and its applications to control systems, machine learning, and robotics. He teaches advanced courses including: Optimization for Learning (Master’s level, held annually) Large-Scale Convex Optimization (PhD level, last held 2015) His research projects span: Scalable control of interconnected systems Nonlinear control theory Robot learning and control Cloud-native control systems Autonomous real-time systems Optimal transport and numerical optimization His scientific work emphasizes: Operator splitting algorithms Convergence analysis Low-rank optimization Applications to machine learning and control systems Pontus leads research initiatives in the RobotLab LTH and contributes to national projects such as WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIIT (Excellence Center at Linköping–Lund in Information Technology).

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Ryan S. GrayView profile

Associate Professor

University of Texas at AustinUnited States

Ryan S. Gray, Ph.D. is an Associate Professor in the Department of Pediatrics at The University of Texas at Austin , with an adjunct faculty appointment in the Department of Nutritional Sciences within the College of Natural Sciences . Education: Ph.D. in Cellular and Molecular Biology from UT Austin Postdoctoral Training: Washington University School of Medicine Gray's research focuses on musculoskeletal diseases , particularly adolescent idiopathic scoliosis (AIS) and cartilage degeneration . His lab employs a multi-tiered approach combining zebrafish , mouse , and cell culture models informed by human genomics to uncover mechanisms of spine development and disease. Key areas include: Genetic regulation of spine morphogenesis Role of cilia in cerebrospinal fluid dynamics Protein assembly in vertebrate evolution ADGRG6 and SOX9 signaling in cartilage homeostasis His publications highlight novel genetic pathways in AIS, including Kif6 , Inppl1a , and dysregulated dynein genes . Awards include the Early Investigator Podium Award (2017) and Best Poster Award (2015) from leading orthopedic societies. Gray leads the Gray Lab , which emphasizes translational research for musculoskeletal disorders. The lab's work spans from basic science (e.g., kinesin motor proteins) to clinical applications in scoliosis diagnosis and treatment.

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Magnus HillmanView profile

Senior Lecturer

Lund UniversitySweden

Magnus Hillman is a Senior Lecturer at Lund University's Faculty of Medicine, Department of Medicine/Emergency Medicine. He also serves as Director of The Faculty of Medicine Centre for Teaching and Learning and is a Researcher with EXODIAB: Excellence of Diabetes Research in Sweden. Dr. Hillman's research expertise spans Diabetes (83%), Women's Health (83%), Insulin Dependent Diabetes Mellitus (68%), Gestational Diabetes (66%), and Patient Care (58%). His work contributes to UN Sustainable Development Goals related to health and well-being, with a strong focus on diabetes research across multiple dimensions including diabetic complications, nutritional interventions, and women's health. His recent publications examine biomarkers for diabetic retinopathy progression, probiotics for cognitive improvement in stressed subjects, and comparative studies of diabetes manifestations in women. These works appear in journals including BMJ Open Ophthalmology, Nutrients, and Acta Diabetologica, demonstrating his interdisciplinary approach connecting clinical medicine, biochemistry, and nutritional science. SAGER II: Sexual and Gender-Based Violence and Equal Right to Health (2024-2025) - Researcher Preservation of residual beta cell mass in children with new onset type 1 diabetes (2017-2018) - Researcher Predictive factors for diabetes complications in gestational diabetes (2014-2018) - Assistant supervisor Dr. Hillman has supervised doctoral research, including Dereke, J.'s dissertation, and recently co-organized Lunds universitets pedagogiska utvecklingskonferens 2024, highlighting his dual commitment to diabetes research and medical education development.

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Sylvie FriantView profile

Researcher

University of StrasbourgFrance

Sylvie Friant is a Senior Researcher (DR2) at the CNRS , leading the "Membrane Trafficking and Lipid Signaling" team at the University of Strasbourg's Department of Molecular and Cellular Biology since 2006. Her research explores the intersection of cell biology , lipid signaling , and human disease modeling using yeast ( Saccharomyces cerevisiae ) as a eukaryotic model organism. Education 2006: Habilitation to Direct Research (HDR), University of Strasbourg 1997: PhD in Molecular and Cellular Biology, University Louis Pasteur 1994: Master in Molecular and Cellular Biology, University of Strasbourg 1992: Bachelor in Biochemistry, University of Strasbourg Her work focuses on membrane trafficking , phosphoinositide signaling , and yeast-based human disease models , particularly for ciliopathies and neuromuscular disorders . Recent studies investigate PYROXD1 mutations in limb-girdle muscular dystrophy, VPS15/PIK3R4's role in retinitis pigmentosa, and MTMR2/MTM1 interactions in myopathies. Scientific contributions include CNRS Bronze Medal (2005) CNRS ATIP Starting Grant (2005) AcademiaNet nominee (2016) She has directed multiple PhD projects (e.g., Matthieu Raess) and secured grants from AFM-Téléthon, IdEx, and national institutions. Her team moved to the Strasbourg Biomedical Research Center (CRBS) in 2025.

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Scot AdamsView profile

Professor

University of Minnesota Twin CitiesUnited States

Scot Adams is a Professor in the School of Mathematics at the University of Minnesota, with research spanning pure mathematics and machine learning applications. His primary academic affiliation is with the Mathematics Department at the University of Minnesota, where he maintains an active research program while managing phased retirement paperwork. His research interests include dynamical systems, foliations, ergodic theory, hyperbolic groups, trees, Riemannian geometry, and more recently neural networks and thermodynamics. In his diary entries through August 2025, he documents ongoing work developing neural network slides, focusing on visual chain rule explanations, diagram of functions, and coordinate vector spaces. His recent publications reflect a transition toward machine learning applications while maintaining his foundational mathematics work. The 15 most recent articles show increasing focus on neural network theory (2025), with earlier works covering financial mathematics, climate policy presentations, and pure mathematics topics like Banach-Tarski paradox and central limit theorem. As an advisor, he works with graduate student Aarya Garimella on neural network research, meeting regularly to refine slides and explore mathematical foundations of neural networks. His teaching activities include courses in linear algebra and financial mathematics. His diary reveals active engagement with climate policy through Citizens' Climate Lobby (CCL), including Capitol Hill lobbying efforts and local climate forum organization. He maintains detailed records of academic and civic activities while managing household responsibilities.

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Michelle MendozaView profile

Associate Professor

University of UtahUnited States

Michelle Mendoza is an Associate Professor of Oncological Sciences and Adjunct Associate Professor of Biomedical Engineering at the University of Utah. Her research focuses on ERK signaling, cell migration, and the biomechanics of lung cancer progression. B.S., Pennsylvania State University Ph.D., University of California, San Diego Her lab integrates physical science perspectives with experimental and computational techniques to study: ERK regulation of actin assembly and myosin activity Signal-mechanical interactions in tumor microenvironments Molecular mechanisms of cancer invasion Recent work highlights: ERK phosphorylation of the WAVE Regulatory Complex Strain amplification in early lung tumors NKX2-1/ERK/WNT feedback loops in tumor identity Collaborations include the Bidone Lab and Weiss Lab in Biomedical Engineering.

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Hong S. LuView profile

Associate Professor

University of KentuckyUnited States

Hong S. Lu, MD, PhD, is an Associate Professor at the University of Kentucky , affiliated with the Department of Physiology and the Saha Cardiovascular Research Center . His work focuses on cardiovascular diseases, particularly atherosclerosis and aortic aneurysms , with an emphasis on renin-angiotensin system mechanisms and genomic editing strategies. He collaborates with institutions including Baylor College of Medicine and University of Maryland . Doctor of Philosophy, Kanazawa University (2003) Doctor of Medicine, Zhejiang University (1993) His research explores pharmacological inhibition of angiotensinogen, Lipoprotein regulation , and vascular biology of receptors like LRP1 and PAI-1. Current projects include studying Etv5-mediated elastic fiber generation in aortic dissection and myeloid thrombospondin-1 roles in ECM suppression. Recent grants supported by the American Heart Association and National Heart, Lung, and Blood Institute address cardiovascular system heterogeneity and myocardial infarction models. Awards include ATVB Top Reviewer (2014, 2016) and New Investigator Travel Awards (2004, 2006). His 160+ research outputs since 2004 span topics like mouse models of coronary atherosclerosis, metformin effects on aneurysms, and complement component 4 suppression in liver steatosis. Collaborations with Dr. Alan Daugherty and others drive innovations in vascular pathology and cardiometabolic disease research.

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Donald GoldfarbView profile

Professor

Columbia UniversityUnited States

Donald Goldfarb is the Alexander and Hermine Avanessians Professor in the Department of Industrial Engineering and Operations Research at Columbia University. His research spans optimization algorithms, network flows, and large-scale computational methods, with applications in finance, image processing, and machine learning. Research Focus: Goldfarb specializes in developing efficient algorithms for convex and nonconvex optimization problems, including linear, quadratic, semidefinite, and second-order cone programming. His work extends to robust optimization for financial modeling and innovative methods for image restoration using total variation techniques. Publication Trends: His recent research emphasizes optimization in computational imaging (e.g., image decomposition and restoration) and finance (e.g., robust portfolio management). Algorithmic contributions include interior-point methods, Bregman iterations, and large-scale convex optimization techniques.

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Nataliia ShchotkinaView profile

Research Fellow

University of OregonUnited States

Nataliia Shchotkina is a Research Assistant and Rosaria Haugland Postdoctoral Fellow at the University of Oregon's Knight Campus Lindberg Lab, part of the Center for Translational Biomedical Research. Her work focuses on translational medicine, bioengineering, and biomedical sciences, particularly regenerative medicine, immunology, and tissue engineering. She investigates patient-specific factors in joint injuries, aiming to address healthcare disparities through stratification of immune signatures and tissue repair mechanisms. Shchotkina holds a Bachelor’s in Biology (2005) and a Master’s in Immunology (2011) from Kyiv National Taras Shevchenko University. Her Ph.D. in Biomedical Engineering Science led to the development of a tissue-modified biocompatible matrix certified as a medical device in Ukraine, used in cardiac and general surgery. Her research integrates multidisciplinary collaboration with hospitals to advance biomedical engineering and improve patient outcomes. Recent work emphasizes 3D modeling of post-traumatic osteoarthritis, synovial-cartilage interactions, and pre-clinical trauma modeling. Key contributions include optimizing biomaterials for cardiac implants and risk assessment in bioimplant production. Shchotkina’s articles highlight advancements in cardiac bioimplants, osteoarthritis modeling, and biosafety in hybridoma technology. Her work bridges lab discoveries with clinical applications, emphasizing personalized medicine and translational research.

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Kurt AnstreicherView profile

Professor

University of IowaUnited States

Kurt Anstreicher is a Professor of Business Analytics at the University of Iowa's Tippie College of Business, with complementary appointments in the Department of Computer Science and Department of Industrial Engineering. He holds the Gary C. Fethke Chair in Leadership. His research focuses on mathematical programming, optimization, interior-point algorithms, and nonlinear programming. Anstreicher earned his Ph.D. from Stanford University in 1983 and a B.A. from Dartmouth College in 1978. Research interests include optimization theory and methods, particularly in nonconvex programming, convex relaxations, and algorithm design. His work addresses challenges in quadratic programming, semidefinite optimization, and global optimization techniques. Recent contributions explore applications in trust-region subproblems, copositive cones, and maximum-entropy sampling. Publications span topics like convex hull representations, Kronecker product constraints, and spherical codes. His work bridges theoretical advancements and practical computational methods, with implications for operations research, data analysis, and engineering systems.

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Hongli LiView profile

Professor

Georgia State UniversityUnited States

Hongli Li is a Professor in the Department of Educational Policy Studies at Georgia State University’s College of Education & Human Development. Her expertise lies in applied measurement and quantitative methods in education, with a focus on test validity, cognitive diagnostic modeling, and formative assessment. She has conducted extensive research on peer assessment dynamics, online learning environments, and assessment fairness. Dr. Li teaches advanced statistical methodologies such as structural equation modeling and item response theory. Her work has been funded by the Spencer Foundation and recognized through prestigious awards including the AERA Division H Outstanding Publication Award (2019) and the College of Education’s Outstanding Faculty Research Award (2022). Education: Ph.D. in Educational Psychology, Pennsylvania State University (2011) M.A. in Teaching English as a Second Language, University of Illinois at Urbana-Champaign (2007) M.Ed. in International Business, Dongbei University of Finance and Economics (2001) B.A. in English for Science and Technology, Xi’an Jiaotong University (1998) Research trends in her articles span educational assessment innovation, psychometric validation, and equity in testing. Over 15 years of publication history shows consistent focus on cognitive diagnostic modeling, DIF analysis, and meta-studies evaluating educational interventions. Her work bridges theoretical frameworks with practical applications in K-12 and higher education contexts. Awards: AERA Division H Outstanding Publication Award (2019) College of Education & Human Development’s Outstanding Faculty Research Award (2022) Teaching and grants: Leads quantitative methods courses and has collaborated on initiatives like the Center for the Study of Adult Literacy. No formal advising list provided but contributes to graduate training through course instruction and research mentorship. Active in interdisciplinary research teams within the College’s centers such as the Adult Literacy Research Center and the Center for Research on Atypical Development and Learning.

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Nicki PackerView profile

Professor

Griffith UniversityAustralia

Nicki Packer is Professor at Griffith University's Institute for Biomedicine and Glycomics. Her research expertise spans glycobiology, proteomics, and analytical chemistry with applications in cardiovascular disease, immunology, and metabolic disorders. Research focuses on: Glycan-protein interactions in immune regulation Glycan-based diagnostic tools Extracellular matrix biology Cardiovascular glycobiology Publications demonstrate methodological innovations in glycoanalytics (45%), glycoprotein functions (30%), and consortium reports (15%). Notable contributions include development of SSSMuG for multi-glycomic analysis and lectin-based SERS nanotags. She contributes to major collaborative initiatives including the HUPO Human Proteome Project and leads research on ASGR1 receptor's role in atherosclerosis.

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Cormac Mc GarrigleView profile

Lecturer

Ulster UniversityUnited Kingdom

Dr. Cormac Mc Garrigle is a Lecturer in Mechanical Engineering at the School of Computing, Engineering and Intelligent Systems, Ulster University. He holds a BSc in Biomedical Engineering (First Class Honours), a PhD in composite materials reinforcement, and an MEd in Higher Education Practice from Ulster University. His primary research focuses on materials development and characterization, particularly polymers and composites, with applications in additive manufacturing and structural reinforcement. His research explores polymer processing, 3D printed composites, energy absorption mechanisms in woven composites, and manufacturing optimization. Key areas include extrusion parameter effects on material properties, tufting techniques for composite reinforcement, and characterization of 3D printed polymer composites. His work frequently addresses industrial applications in automotive and aerospace sectors. Recent publications demonstrate a strong focus on additive manufacturing techniques, particularly 3D printing of carbon fiber composites and optimization of WAAM processes. Research consistently addresses mechanical performance enhancement through microstructural control, weave parameter modification, and novel processing techniques. A emerging theme involves sustainable materials development for medical applications. Dr. McGarrigle contributes to the Green Transition Ecosystem project examining sustainable development in island communities. He participates in public engagement through environmental initiatives like the Big Beach Clean and promotes engineering education through outreach activities.

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William PolacheckView profile

Assistant Professor

University of North Carolina at Chapel HillUnited States

William Polacheck is an Assistant Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on mechanobiology, microfluidics, and cardiovascular tissue engineering, with a particular emphasis on understanding how cells interact with their physical environment. His lab develops microfluidic technologies to model human tissues and study cellular force generation and mechanotransduction. This work integrates organ-on-chip models with genome editing and stem cell technologies to identify novel drug targets for vascular diseases, cancer, and fibrosis. Polacheck holds a Ph.D. and S.M. in Mechanical Engineering from MIT (2013, 2010) and a B.S. in Biological Engineering from Cornell University (2008). He has received awards including the NIH NRSA Postdoctoral Fellowship (2016–2018), the Walter H. Coulter Translational Partnership Award (2018), and the NSF Graduate Research Fellowship (2008–2011). His research interests span biomimetic tissue models, mechanotransduction in endothelial cells, and vascular barrier function. His articles highlight advancements in lymphatic system modeling, vascular malformation mechanisms, and engineered microvessels for clinical applications. Collaborative work includes studies on cardiac fibroblast reprogramming and tumor-vascular interactions. Polacheck teaches courses in Biotransport (BME 315) and Bioinspired Engineering (BME 490/890). His lab maintains active grants focused on translational research, with a focus on developing tissue-engineered therapies for regenerative medicine. Ongoing projects include patient-derived matrix hydrogels and magnetic systems for studying cartilage mechanics. Key scientific contributions include defining roles for COL3A1 in blood vessel mechanics, ROCK2/JAM-A complexes in lymphedema, and Rac1/mTORC1 pathways in vascular malformations. His lab’s innovations in organ-on-chip platforms aim to revolutionize drug discovery and disease modeling.

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