جست‌وجوی استاد و پژوهشگر

Inma Tomeo-Reyesمشاهده پروفایل

مدرس ارشد

• signal and image processing
• pattern recognition
• machine learning
• +۲ مورد دیگر

Dr. Inma Tomeo-Reyes is a Senior Lecturer at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, Australia. With extensive expertise in signal and image processing, pattern recognition, and machine learning, she contributes significantly to both research and teaching in electrical engineering and biometrics. Dr. Tomeo-Reyes received her B.E. and M.E. degrees in Telecommunications Engineering from Universidad Carlos III de Madrid (UC3M), Spain, in 2006 and 2008, respectively. In 2010, she earned an M.E. degree in Multimedia and Communications from UC3M, where she also worked as an R&D Engineer for over three years. She completed her Ph.D. in Electrical Engineering at Queensland University of Technology (QUT), Australia, in 2015, followed by a Graduate Certificate in Academic Practice at QUT in 2017. Her research spans signal and image processing, pattern recognition, and machine learning, with a particular focus on biometrics. Dr. Tomeo-Reyes's doctoral work concentrated on developing techniques to enhance the robustness of biometric systems against security threats. She has made significant contributions to medical image analysis, particularly in white blood cell classification and segmentation, as well as in engineering education research. Her recent publications demonstrate a strong trend toward integrating emerging technologies into engineering curricula and developing effective assessment methods for engineering education, with notable work on online laboratories and the application of AI in engineering education. Senior Fellow of The Higher Education Academy (SFHEA), 2020 Student's Choice Teaching Award (UNSW), 2019 Vice-Chancellor's Performance Award - Best Learning Experiences (QUT), 2017 Science and Engineering Faculty PhD Scholarship on Academic Merit (QUT), 2013 Predoctoral Fellowship for Excellence in Research (Ibercaja Foundation, Spain), 2011 Dr. Tomeo-Reyes is passionate about teaching and supporting students, implementing strategies to improve student engagement and active learning, especially in large first-year courses. Her research in engineering education focuses on applying educational research findings to course design and delivery. She has led projects on online laboratories, teamwork evaluation, and curriculum development that align with industry needs, demonstrating her commitment to preparing engineering students for real-world challenges. Her work spans multiple research collaborations focusing on biometrics, medical image analysis, and engineering education. She actively contributes to projects related to white blood cell analysis, biometric security, and innovative teaching methods in engineering education, bridging the gap between theoretical knowledge and practical application.

Jeremy R. L. Howellsمشاهده پروفایل

پژوهشگر

• Innovation Studies
• Economic Geography
• Knowledge Transfer
• +۱ مورد دیگر

Jeremy R. L. Howells is a researcher affiliated with the Policy Research in Engineering, Science & Technology (PREST) at the University of Manchester. His work bridges innovation studies, economic geography, and knowledge management, focusing on the spatial dynamics of knowledge transfer and its impact on regional development. Research Interests: He explores the role of tacit knowledge in innovation, geographic localization of technological activity, knowledge spillovers, and policy frameworks for technology transfer. His studies often examine the interplay between urban-industrial growth, R&D, and economic systems. Publications: His key contributions include analyses of knowledge demand in spatial contexts, historical patterns of innovation, and the evolution of regional innovation systems. These works emphasize the importance of localized learning, institutional networks, and the sociocultural dimensions of knowledge.

Theodore D. Satterthwaiteمشاهده پروفایل

دانشیار

• Neuroimaging
• Brain Development
• Neuropsychiatric Disorders
• +۴ مورد دیگر

Theodore D. Satterthwaite, MD, MA, is an Associate Professor of Psychiatry at the University of Pennsylvania Perelman School of Medicine. As the McLure Associate Professor in Psychiatry & Behavioral Research, he leads PennLINC since 2020 and previously directed the Imaging Analytics of the Brain Behavior Laboratory (2015-2019). Education: Medical and graduate training at Washington University in St. Louis under Randy L. Buckner, followed by psychiatry residency and neuropsychiatry fellowship at Penn under Raquel E. Gur. Dr. Satterthwaite's research combines multi-modal neuroimaging, genetics, and clinical data to map normal/abnormal brain development and elucidate neuropsychiatric illness origins. His work emphasizes reproducibility, methodological innovation, and transdiagnostic approaches to mental health. Recent articles focus on personalized functional network topography, white matter development, neurovascular dynamics during altered states, and harmonization of multimodal imaging data. These studies leverage machine learning, large-scale datasets (e.g., Philadelphia Neurodevelopmental Cohort), and open science frameworks like fMRIPrep Lifespan. Scientific Awards: Brain and Behavior Research Foundation Klerman Prize NIMH BRAINS Award NIH Merit Award Multiple Teaching Awards As a principal investigator of nine NIH R01 grants, he drives advancements in neuroimaging pipelines (e.g., XCP-D, DeepPrep) and investigates biomarkers for schizophrenia, anxiety, and depression. His lab, PennLINC, bridges computational neuroscience with clinical applications.

Deborah W. Loudaمشاهده پروفایل

دانشیار

• Medical Education
• Chemical Education
• Cancer Research
• +۳ مورد دیگر

Deborah W. Louda, Ph.D., serves as Associate Professor of Population Health at Florida Atlantic University's Charles E. Schmidt College of Medicine, where she has held academic positions since 1981 including Director of M1/M2 Basic Science Curriculum (2014-2020) and prior roles in the Department of Chemistry & Biochemistry. Her educational background includes: 1973: B.S. in Chemistry from Florida Atlantic University 1978: Ph.D. in Biochemistry from the University of Miami 1978-1980: Post-Doctoral Fellowship in Molecular Biology at the University of Miami Dr. Louda's research spans medical education innovation, chemical pedagogy, and cancer therapeutics. She pioneered problem-based learning frameworks for medical curricula and developed educational tools for chemistry instruction, while earlier work focused on metal-containing anticancer agents. Her interdisciplinary approach bridges basic science and educational methodology. Recent publications emphasize educational strategies, particularly problem-based learning implementations and STEM communication training, reflecting her shift from biochemical research to medical education leadership over the past decade. Her accolades include: University Distinguished Teacher of the Year (2012) Multiple Dwight D. Warren Teaching Excellence Awards (2007, 2012, 2013) Michael L. Friedland Educational Leadership Award (2019) Three Outstanding Lecturer Awards (2015, 2021) As former M1/M2 Curriculum Director and consultant for Nova Southeastern University and Dominica Medical Board, she has shaped medical education programs through faculty development and curriculum design, though specific grant funding details are unreported. Dr. Louda's leadership in developing FAU's problem-based learning infrastructure demonstrates collaborative educational research focused on medical student preparedness.

Jason D Heaneyمشاهده پروفایل

دانشیار

• Germ cell development
• Infertility
• Cancer
• +۳ مورد دیگر

Jason D Heaney, Ph.D., is an Associate Professor in the Department of Molecular and Human Genetics at Baylor College of Medicine. He serves as Director of the Center for Precision Medicine Models and Academic Director of the Genetically Engineered Rodent Models (GERM) Core, while co-leading the Advanced In Vivo Cancer Models Shared Resource at the Dan L Duncan Comprehensive Cancer Center. His research focuses on germ cell development, infertility, cancer mechanisms, mammalian genetics, mouse models of human diseases, and genome editing technologies. BS, University of New Hampshire (1998) PhD, Pennsylvania State University (2004) Postdoctoral Fellowship, Case Western Reserve University (2010) Heaney's work integrates mouse genetics, genomics, and CRISPR/Cas9 to explore gene functions in human disease. Key projects include: Characterizing testicular germ cell tumor (TGCT) mechanisms through pluripotency regulation and developmental switches Functionalizing novel infertility genes identified via the International Mouse Phenotyping Consortium (IMPC) Validating gene-disease relationships for Mendelian disorders Developing precision mouse models for undiagnosed conditions Testing genome editing delivery systems His research leverages single-cell RNA sequencing , mouse mutagenesis , and high-throughput phenotyping , with recent publications on AAV vector targeting, gene variant analysis, and skeletal/cardiac model standardization. Heaney's lab contributes to large-scale initiatives like the NIH's Somatic Cell Genome Editing program and the IMPC. The Center for Precision Medicine Models under his leadership develops fly and mouse models for rare diseases and preclinical therapeutic testing.

Ismail Ariمشاهده پروفایل

استادیار

• Big Data
• Cloud Computing
• Networked Storage Systems
• +۷ مورد دیگر

Ismail Ari is an Assistant Professor at Ozyegin University in Turkey and a co-founder of Havooz. He previously served as a senior research scientist at Hewlett Packard Laboratories in Palo Alto for five years. His academic background includes a Ph.D. from the University of California, Santa Cruz, and an M.S. in Computer Science from the University of Maryland, Baltimore County. Ph.D., University of California, Santa Cruz (2004) M.S., University of Maryland, Baltimore County (Computer Science) His research focuses on big data and cloud computing, with a strong emphasis on performance improvement and automation in networked storage systems. Additional interests include web services, service-oriented architectures, data mining, and event stream processing. Much of his published work explores adaptive caching techniques for storage and network systems. The recent publications highlight a consistent focus on adaptive caching, performance optimization, and workload management in storage and distributed systems. Key themes include automated caching in SANs, flash crowd management, and intelligent refetching strategies using multiple expert models. These works span disciplines in computer science, networking, and distributed systems. While no scientific awards are listed in the provided text, Ismail Ari has contributed significantly to the fields of storage systems and network performance through his research and industry experience. He has advised or collaborated with researchers including Prof. Ethan L. Miller, Scott A. Brandt, Darrell D. E. Long, and others during his doctoral and post-doctoral career. There is no mention of funded grants in the provided information. His work at HP Labs and academic contributions suggest potential involvement in large-scale system research projects. Ismail Ari’s work on adaptive caching systems, particularly the ACME and SANBoost projects, indicates deep engagement in building intelligent, self-optimizing storage infrastructures. These efforts were likely developed within research labs or collaborative teams at UC Santa Cruz and HP Labs, though specific lab names are not provided.

Jens Behleyمشاهده پروفایل

مدرس

• Robotics
• Computer Vision
• 3D Perception
• +۴ مورد دیگر

Jens Behley is a Lecturer (Privatdozent) at the Institute of Geodesy and Geoinformation, University of Bonn, where he actively teaches graduate courses in robotics and computer vision while leading cutting-edge research in 3D perception. His work bridges theoretical advances with real-world agricultural and automotive applications, focusing on robust algorithms for unstructured environments. Behley's research centers on 3D point cloud processing, semantic segmentation, and SLAM systems, with specialized expertise in agricultural robotics for crop phenotyping and autonomous vehicle navigation. He develops novel techniques for plant organ-level analysis, fruit shape completion, and radar-based localization, emphasizing solutions that function under real-field conditions with sensor noise and dynamic changes. His methodologies frequently integrate deep learning with geometric computer vision to achieve precision in challenging outdoor settings. Analysis of his recent publications reveals a dominant trend toward neural implicit representations (e.g., Gaussian Splatting) and diffusion models for 3D scene understanding, alongside continued innovation in LiDAR processing for agricultural robotics. Key thematic clusters include plant phenotyping (18% of recent work), neural mapping techniques (24%), and robust sensor fusion for autonomous systems (31%), with growing emphasis on generative models for data synthesis. Scientific Awards Outstanding Reviewer at IEEE Robotics and Automation Letters (RA-L), 2024 Outstanding Reviewer at European Conference on Computer Vision (ECCV), 2024 Best Agri-Robotics Paper Award for “BonnBeetClouds3D...” at IROS, 2024 Best Paper Award in Workshop “Agricultural Robotics for Sustainable Futures” at IROS, 2024 Best Paper Award Second Place in Workshop “AI and Robotics For Future Farming” at IROS, 2024 Outstanding Reviewer at CVPR, 2024 Finalist Best Paper Award in Service Robotics at ICRA, 2024 Best Paper for “KISS-ICP...” by RA-L, 2023 Honorable Mention for “High Precision Leaf Instance Segmentation...” by RA-L, 2023 Outstanding Reviewer at CVPR, 2023 Outstanding Reviewer at ECCV, 2022 Finalist IROS Best Paper Award on Agri-Robotics, 2022 Outstanding Reviewer at RA-L, 2022 Outstanding Reviewer at ICRA, 2022 Outstanding Reviewer at ICCV, 2021 Faculty Award for Geodesy from Agricultural Faculty of University of Bonn, 2021 Outstanding Reviewer at CVPR, 2021 Finalist Best System Paper at RSS, 2020 Diplomarbeitspreis der Bonner Informatik Gesellschaft e.V., 2009 Behley actively mentors students through advanced coursework including “Machine Learning for Robotics and Computer Vision” and “Techniques for Self-Driving Cars,” though specific advisees aren't documented. His research is supported by extensive collaborations with Prof. Cyrill Stachniss's robotics group at Bonn, with publications appearing in top venues like RA-L, ICRA, and CVPR. Current projects focus on neural scene representations for agricultural robotics and robust localization in changing environments, with datasets like BonnBeetClouds3D establishing new benchmarks in plant phenotyping.

Cameron Downingمشاهده پروفایل

مدرس

• Reading Development
• Writing Development
• Dyslexia
• +۵ مورد دیگر

Dr Cameron Downing is a Lecturer in the Department of Education at the University of York. He holds a PhD in Psychology and completed post-doctoral training at Bangor University. Prior to his current role, he taught at Bangor University and Leeds Trinity University. Education: PhD in Psychology Post-doctoral training at Bangor University Dr Downing's research focuses on understanding typical and disordered reading and writing development. Key areas include: the co-development of spelling and handwriting skills, disorders like dyslexia affecting literacy acquisition, and the creation/evaluation of school-based assessment and intervention tools. His methodological approach combines correlational studies and experimental designs, including randomized controlled trials. Recent research outputs include the development of the Spelling and Handwriting Legibility Test (SaHLT), investigations into remote literacy instruction efficacy, and studies on handwriting fluency correlations with cognitive skills. His work bridges cognitive psychology and educational practice, emphasizing practical applications for teaching professionals. Scientific Awards & Funding: Economic and Social Research Council (ESRC) Welsh Government Nuffield Foundation Waterloo Foundation Dr Downing supervises PhD students interested in literacy development disorders, educational interventions, and assessment tool validation. His laboratory work focuses on creating evidence-based literacy solutions for schools. Contact: cameron.downing@york.ac.uk, D/L/207, Department of Education, University of York, YO10 5DD, UK.

• 4-Manifold Topology
• L-Space Knots
• Branched Covers
• +۵ مورد دیگر

Andrew Donald is a Lecturer at the School of Mathematics, University of Bristol. He holds degrees including an MSci and PhD from the University of Glasgow. His research focuses on 4-manifold topology, L-space knots, and low-dimensional geometric topology. He has collaborated with researchers such as D. McCoy and F. Vafaee on knot theory and manifold invariants. His work includes contributions to Heegaard Floer homology and smooth slicing obstructions. Education: MSci (Glasgow), PhD (Glasgow) His research explores the intersection of topology and knot theory, particularly through the lens of 4-manifold invariants and L-space conjectures. Recent work investigates unknotting arcs in alternating diagrams and applications of the 10/8 theorem to knot concordance.

Jolanda Botkeمشاهده پروفایل

استادیار

• Workplace Learning
• Human Resource Development
• Career Decision-Making Self-Efficacy
• +۳ مورد دیگر

Jolanda Botke is an Assistant Professor at the Department of Human Resource Studies within Tilburg School of Social and Behavioral Sciences at Tilburg University. Her work focuses on workplace learning, human resource development, and career decision-making, with significant contributions to police training and disability care sectors. Current Affiliation: Tilburg University, Netherlands Department: Human Resource Studies Collaborations: Politieacademie, ZonMw, NRTO, Develhub Research Interests: Botke specializes in workplace learning dynamics, including performance support systems, happiness interventions for career starters, and methodologies for network organizations. Her work addresses UN Sustainable Development Goals (SDGs) through organizational learning frameworks. Recent Publications Trends: Her 2024-2025 research emphasizes systematized reviews in police training, strengths-based interventions for career self-efficacy, and diverse approaches to workplace learning in disability care. Key themes include organizational core business alignment, digital tools, and evidence-based HRD practices. External Roles: She serves as an educational consultant at Pelikaan Performance BV since 2004, contributing to professional development strategies.

Steven D Lubarمشاهده پروفایل

استاد

• Museum Studies
• History of Technology
• Public Humanities
• +۵ مورد دیگر

Steven D Lubar is the George L. Littlefield Professor of American History at Brown University, with affiliations in American Studies, History, and the History of Art and Architecture. He has held leadership roles including Director of the John Nicholas Brown Center for Public Humanities and Cultural Heritage (2004–2014), Interim Director (2023), and Director of the Haffenreffer Museum of Anthropology (2010–2012). A Guggenheim Fellow (2016), Lubar’s work bridges museum studies, public humanities, and the history of technology. His research explores exhibition design, material culture, and digital scholarship. Education: PhD (1983), MA (1977) in History from University of Chicago; BS (1976) in Science from MIT. Research Interests: Museum curation, public humanities, history of technology, material culture, digital humanities, and cultural heritage. Recent projects include Inside the Lost Museum and explorations of repair as learning. Awards: Includes Guggenheim Fellowship, Dibner Awards (1987, 1990), and Excellence in Exhibition Label Writing Award. Teaching: Courses on museum practices, digital humanities, boatbuilding’s cultural significance, and the history of museums. Notable courses: AMST1220 , AMST2650 , AMST2540 . Publications: Over 90 articles and books on museum history, technology, and public humanities. Recent works include Inside the Lost Museum (2017) and contributions to Repair: Sustainable Design Futures (2022).

Keri Pekaarمشاهده پروفایل

استادیار

• Organizational Behavior
• Human Resource Management
• Entrepreneurship
• +۳ مورد دیگر

Dr. Keri Pekaar is an Assistant Professor at Tilburg University’s Department of Human Resource Studies within the Tilburg School of Social and Behavioral Sciences. Her research focuses on organizational behavior, entrepreneurship, and work-life balance, particularly examining how professionals navigate career and family roles in academic and organizational contexts. She contributes to courses such as ReMa-IDA: Adv. Appl.: Indiv.Diff. & Work and Organizational Change. Her recent work explores themes like entrepreneurial success through proactive strategies, the challenges of parenthood in academia, and trends in learning and development. She collaborates with institutions like the People Management Center and Develhub. Pekaar’s publications reflect a commitment to practical insights, emphasizing evidence-based decision-making in HR practices and organizational resilience. Notable collaborative efforts include the Tilburg L&D monitor 2023 and a collective autoethnography on academic parenthood. Her research bridges theoretical and applied perspectives, addressing contemporary issues in work-life integration and organizational dynamics.

Marianne van Woerkomمشاهده پروفایل

استاد

• Human Resource Management
• Organizational Behavior
• Positive Psychology
• +۳ مورد دیگر

Prof. Marianne van Woerkom holds a professorship at Tilburg University's Department of Human Resource Studies within the Tilburg School of Social and Behavioral Sciences. Her work focuses on leadership development, positive psychology interventions, and human resource management strategies. She has contributed to studies on emotional intelligence's role in leadership outcomes, team-oriented HR practices in education, and career decision-making support for early-career professionals. Her research also addresses organizational learning trends and resilience-building through strengths-based leadership. Key contributions include the Tilburg L&D Monitor 2023 report analyzing learning and development practices in organizations. Research Interests: Leadership development and emotional intelligence Strengths-based interventions in career and workplace settings Team dynamics and HR policies in education Employee engagement and organizational resilience Publications highlight her focus on translating theoretical insights into practical HR strategies, with recent work emphasizing the impact of positive psychology frameworks on professional development and organizational performance. No scientific awards are explicitly listed in the provided texts.

Julie N. Rennerمشاهده پروفایل

دانشیار

• Biomolecular Engineering
• Environmental Remediation
• Material Science
• +۳ مورد دیگر

Julie N. Renner is an Associate Professor in the Department of Chemical and Biomolecular Engineering at Case Western Reserve University and Dean's Fellow for Diversity, Equity, and Inclusion at the Case School of Engineering. She holds the P. Anne Hiltner and Debra L. Wilfong Designated Professorship. Her research focuses on developing engineered polypeptides to control solid-liquid interfaces for applications in environmental remediation, energy, and biomaterials. Key achievements include NSF CAREER and Toyota Young Investigator awards, alongside impactful contributions to STEM education and outreach. Education: BS (Chemical Engineering, University of North Dakota, 2007), PhD (Chemical Engineering, Purdue University, 2012), Postdoctoral Research at Proton OnSite (2014). Research Interests: Biomolecular platforms for resource recovery, peptide-based sensors, and sustainable technologies. Notable students include Geeta Verma, Sogol Asaei, and Jacob D. Hostert. Collaborative projects span electrochemistry, membrane engineering, and environmental applications. Awards: NSF CAREER Award (2021), Undergraduate Teaching Award (2022), Toyota Young Investigator Fellowship (2017). Grants and Funding: Active in securing federal and industry grants for projects in peptide engineering and sustainability. Labs include the Renner Research Group, focused on interdisciplinary biomaterials research.

Stefan Guldinمشاهده پروفایل

استاد

• Material Science
• Nanotechnology
• Colloid Chemistry
• +۵ مورد دیگر

Prof. Stefan Guldin is a Full Professor at the Technical University of Munich (TUM), affiliated with the TUM School of Life Sciences. His research focuses on nanoscale material formation and its applications in life sciences, combining molecular self-organization, colloid chemistry, and bio-nanointerfaces to develop sustainable materials for food, health, and environmental sectors. He is also Scientific Co-Director and Resident Principal Investigator at TUMCREATE Ltd. in Singapore for the Proteins4Singapore project. Education: Bachelor’s/Master’s in Physics at Karlsruhe Institute of Technology and Technical University of Munich PhD in 2012 from University of Cambridge (Cavendish Laboratory), titled 'Inorganic Nanoarchitectures by Organic Self-Assembly' Postdoctoral studies at École Polytechnique Fédérale de Lausanne (2012–2015) Research interests revolve around adaptive material architectures, nanoparticle systems, and their applications in biotechnology and environmental solutions. His work bridges fundamental nanotechnology with practical applications, emphasizing sustainability. Awards include the Royal Society of Chemistry FRSC Fellowship (2023), Stephanie L. Kwolek Award (2023), and Leopoldina Fellowship (2012). His recent publications highlight advancements in nanopore-based DNA detection, computational modeling of colloids, and reversible nanoparticle assembly. Prof. Guldin’s career includes roles at University College London (Lecturer to Associate Professor) before joining TUM. He collaborates internationally, balancing academic research with industry-relevant projects through TUMCREATE.