جست‌وجوی استاد و پژوهشگر

Tibor Bekeمشاهده پروفایل

دانشیار

• Algebraic Topology
• Model Theory
• Image Processing
• +۳ مورد دیگر

Tibor Beke is an Associate Professor in the Department of Mathematics at the University of Massachusetts Lowell (UML), part of the Kennedy College of Sciences. He holds a PhD in Mathematics from MIT (1998) and a BA from Princeton University (1993). His research focuses on algebraic topology, model theory, image processing, homotopical algebra, and categorical logic, with notable contributions to areas like topos theory, combinatorial structures over finite fields, and computational topology. Education : PhD in Mathematics, MIT, 1998 BA in Mathematics, Princeton University, 1993 Research Interests : Beke’s work bridges algebraic topology with logic and category theory. He explores topics such as the Grothendieck ring of varieties, Shelah’s singular compactness theorem, and applications of categorical logic to model theory. His recent projects include microstructural quantification of polymer matrix composites and virtual reconstruction techniques in materials science. Publications & Grants : He has published widely in journals like Journal of Pure and Applied Algebra and Annals of Pure and Applied Logic . Key grants include NSF funding for microstructural research (2018–2020) and a John Templeton Foundation grant on geometric proofs and AI (2016–2019). His work often involves collaborations, such as with Jiří Rosický on accessible categories and abstract elementary classes. Awards : Fulbright Scholar (2013) Fulbright Scholarship for Teaching and Research (2016, Masaryk University) UML Faculty Teaching Awards (2012, 2007) Rackham Faculty Fellowships (University of Michigan, 2002–2001) Teaching : Currently teaches courses such as Number Theory and Mathematical Problem Solving at UML.

Jong Soo Leeمشاهده پروفایل

دانشیار

• Statistics
• Applications of statistics
• Health Communication
• +۶ مورد دیگر

Jong Soo Lee is an Associate Professor in the Department of Mathematics & Statistics at the University of Massachusetts Lowell (UML), affiliated with the Kennedy College of Sciences. His expertise lies in Statistics and its applications, with research focusing on areas such as health communication, nutritional epidemiology, and statistical methodology development. He holds an office in Southwick 315A and can be reached at JongSoo_Lee@uml.edu . Lee’s research interests emphasize the practical application of statistical techniques to real-world problems. His work spans diverse domains, including the influence of figurative language on dietary choices, the relationship between vitamin D levels and mental health in Puerto Rican populations, and methodological advancements in functional data analysis. He has collaborated on interdisciplinary projects involving health communication, civil engineering, and optimization algorithms. His publications reflect a commitment to both theoretical and applied research, with recent contributions to journals like Health Communication and The Journal of Nutrition . Earlier work includes studies on structural engineering and optimization theory. Despite his extensive publication record, no scientific awards or grants are explicitly listed in the provided materials. Lee does not have any listed advisees or students, and no details about affiliated laboratories or research teams are provided in the text.

Nicolai Konowمشاهده پروفایل

دانشیار

• Biomechanics
• Muscle Physiology
• Ecomorphology
• +۳ مورد دیگر

Nicolai Konow is an Associate Professor and Co-Director of the UMOVE initiative at the University of Massachusetts Lowell (UML), affiliated with the Department of Biological Sciences within the Kennedy College of Sciences. His research focuses on biomechanics, muscle physiology, and ecomorphology, particularly examining form-function-mechanics relationships in feeding and locomotion across vertebrates. Education: Ph.D., James Cook University; Postdoctoral training at Harvard, Brown, Johns Hopkins, and Hofstra Universities. Key Roles: Leads the Konow Lab, emphasizing experimental approaches to understand muscle-tendon interactions and their evolutionary implications. Research Interests: Investigates how biological movements arise from mechanical interactions between muscles, tendons, and skeletons. Current projects explore ecological transitions (e.g., terrestrialization), human health implications (e.g., muscle injury, aging), and biomechanical adaptations in salamanders, moles, and hummingbirds. Publications: Over 60 peer-reviewed articles, including studies on elastic recoil in feeding systems, muscle dynamics in rats, and the biomechanics of flight in bats and hummingbirds. Recent work bridges genomic and phenotypic studies of muscle function. Teaching: Instructs courses like Form Feeds Function in Vertebrate Evolution and Biology of Movement , emphasizing hands-on dissection and student-led research projects. Lab Collaborations: Partners with institutions such as Brown University, Harvard, and the University of British Columbia, focusing on comparative biomechanics and functional morphology.

Brent Shellمشاهده پروفایل

عضو هیئت علمی

• Biomedical Sciences
• Physiology
• Neurophysiology
• +۵ مورد دیگر

Brent Shell is an Associate Teaching Professor and Master’s Program Director in the Department of Biomedical & Nutritional Sciences at the University of Massachusetts Lowell (Zuckerberg College of Health Sciences). He holds a PhD in Biomedical Sciences from the University of North Texas Health Science Center (2016), with dual bachelor’s degrees in Psychology and Biology (2009). His research focuses on neurophysiological mechanisms of blood pressure regulation, particularly the role of angiotensin II in hypertension induced by chronic intermittent hypoxia (a model for sleep apnea). He emphasizes science education innovation, managing the Student Resource Center, and advising the Health Education Academic Living Learning (HEALL) community. Notable awards include the 2022 OER Champion, 2021 Teaching Excellence Award, and recognition for advising excellence. Education: PhD: Biomedical Sciences, University of North Texas Health Science Center (2016) BA: Psychology, University of North Texas (2009) BS: Biology, University of North Texas (2009) His research integrates neuroendocrine pathways and autonomic regulation, with a focus on hypertension mechanisms. He explores how angiotensin receptors in the median preoptic nucleus contribute to CIH-induced pathologies. Recent work addresses oxidative stress and neuroinflammation links to hypertension and cognitive decline. He actively publishes in American Journal of Physiology and Neuron , emphasizing translational physiology and educational reforms. Awards & Recognition: 2022 Open Educational Resources (OER) Champion 2021 Biomedical & Nutritional Sciences Teaching Excellence Award 2018-2019 UML Excellence in Teaching Award (Zuckerberg College) 2017-2018 HEALL Advisor of the Year (Residence Life) Advising & Grants: Directed the HEALL living-learning community, fostering health science collaboration. Developed digital tools for student engagement (e.g., online check-in systems). Shell advocates for student success through interdisciplinary initiatives, including OER development and campus-wide health science integration.

Andrew M. Rogersمشاهده پروفایل

دانشیار

• Nuclear Astrophysics
• Low-Energy Nuclear Science
• Exotic Nuclei
• +۶ مورد دیگر

Andrew M. Rogers is an Associate Professor in the Department of Physics and Applied Physics at the University of Massachusetts Lowell (UML), within the Kennedy College of Sciences. He serves as Associate Director of the UML Van de Graaff Accelerator Facility and oversees the Radiation Laboratory's experimental activities and user program. His research focuses on experimental nuclear physics, particularly exotic nuclei at stability limits and their role in astrophysical processes. Rogers' primary research interests include nuclear astrophysics (especially the rapid proton-capture process powering X-ray bursts), isospin symmetry studies in exotic nuclei, and nuclear structure near the proton drip line. His work explores how unstable nuclei influence cosmic phenomena and tests fundamental symmetries in quantum systems. Recent breakthroughs include the discovery of mirror-symmetry violation in bound nuclear ground states published in Nature (2020). His publication trends reveal consistent focus on neutron-deficient nuclei, proton emission studies, and nuclear instrumentation development. Key research areas span nuclear structure, astrophysical reaction rates, and detector physics, with strong emphasis on experimental techniques using radioactive beams. The work directly impacts understanding of stellar explosions and nucleosynthesis. First Facility for Rare Isotope Beams (FRIB) Visiting Scholar for Experimental Science Rogers actively mentors students through UML's nuclear physics group and collaborates extensively with national facilities including the National Superconducting Cyclotron Laboratory (NSCL) and Facility for Rare Isotope Beams (FRIB). His applied nuclear science work involves accelerator operations, beam development, and radiation detection systems. He leads instrumentation projects including CLYC scintillator development and microchannel plate tracking systems. Current initiatives include the GADGET II TPC for rare event detection and studies of the rp-process waiting points.

Anna Yaroslavskyمشاهده پروفایل

استاد

• Biophotonics
• Optical Imaging
• Medical Imaging
• +۳ مورد دیگر

Anna Yaroslavsky is a Professor in the Department of Physics & Applied Physics at the University of Massachusetts Lowell (UML), part of the Kennedy College of Sciences. Her expertise lies in Biophotonics, with a focus on developing optical imaging technologies for cancer detection and tissue analysis. She holds a Ph.D. in Physics and Mathematics from Saratov State University (1999) and a BS in Physics (1990), earning a Diploma with Honors. Her research emphasizes wide-field optical imaging, light-tissue interaction, and multimodal image-guided interventions. Key research areas include skin and breast cancer margin delineation, terahertz imaging, and fluorescence polarization for cancer diagnostics. She has authored over 100 publications, including seminal works on optical mapping of nonmelanoma skin cancers and multimodal imaging techniques. Notable grants include projects on terahertz imaging (2013), optical pathology (2010), and photobiomodulation therapy (2017–2024). Her work bridges clinical applications and engineering, with patents on optical imaging devices and methods. She has presented globally, including at SPIE meetings and biomedical optics workshops. Current efforts focus on AI-driven optical diagnostics, thermal dosimetry, and translational cancer imaging technologies.

Rocío Rosalesمشاهده پروفایل

دانشیار

• Applied Behavior Analysis
• Educational/Instructional Design
• Developmental Disabilities
• +۳ مورد دیگر

Rocío Rosales is an Associate Professor and Program Coordinator for Applied Behavior Analysis and Autism Studies at the University of Massachusetts Lowell (UML). She is affiliated with the Department of Psychology within the College of Fine Arts, Humanities and Social Sciences. Her work focuses on applying behavioral principles to educational and therapeutic settings, with a particular emphasis on staff training, verbal behavior analysis, and instructional design in higher education. Dr. Rosales holds a Ph.D. in Rehabilitation (Specialization in Applied Behavior Analysis) from Southern Illinois University, Carbondale, an M.S. in Behavior Analysis and Therapy, and a B.A. in Psychology with a minor in Human Development and Family Studies and French from the University of Nevada, Reno. Her research interests include staff training and treatment integrity, verbal behavior development in individuals with and without developmental disabilities, and culturally responsive practices in behavior analysis. She has published extensively on interteaching methodologies, cross-cultural family advocacy, and autism service delivery for Latino families. Notable awards include the 2023 Outstanding Mentor Award from the Association for Behavior Analysis International and the 2023 Teaching Excellence Award from UML’s Department of Psychology. She has secured grants such as the U.S. Department of Education’s Office of Special Education Programs grant ($2M+), focusing on interdisciplinary personnel preparation in autism services. Dr. Rosales actively promotes equity and inclusion through initiatives like the ADVANCE Office for Faculty Equity and Resilience at UML. Her work bridges academic research with practical applications, emphasizing the importance of culturally and linguistically diverse family engagement in special education services.

Suzana Taleskaمشاهده پروفایل

استاد

• Financial Accounting
• Government Accounting
• Non-Profit Accounting
• +۳ مورد دیگر

Prof. d-r Suzana Taleska is a Full Professor at the Faculty of Economics, Ss. Cyril and Methodius University in Skopje. Her expertise spans Financial Accounting, Government Accounting, and International Accounting Standards. She holds a PhD (1995), Master’s (1988), and graduated in 1979. PhD: 1995 Master’s: 1988 Bachelor’s: 1979 Her research focuses on financial reporting, expense analysis, and IT integration in business processes. She has contributed to 50+ publications and led projects on e-commerce, labor market analysis, and CRM implementation. Key projects include RWCT (2001-2002), CEP (2002), and USAID-funded accounting development initiatives. She advises on MBA programs and chairs the Department of Accounting, Finance, and Auditing.

Øystein Haugenمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Modeling Languages
• Software Engineering
• +۷ مورد دیگر

Øystein Haugen is a Professor at the Department of Computer Science and Communication at Høgskolen i Østfold (HiØF), Norway. He specializes in Cyber-Physical Systems (CPS), Modeling Languages (e.g., UML/SysML), and Software Engineering. His work focuses on standardization efforts for modeling languages (ITU/OMG), variability modeling, and real-time systems. Haugen has led EU projects like Productive4.0 and Arrowhead Tools, emphasizing Industrial IoT and digital twin technologies. He co-chaired MODELS 2010 and currently contributes to SysML v2 development. Collaborations include SINTEF Digital, University of Oslo, and Luleå Technical University. Research Interests : Cyber-Physical Systems & IoT Model-Driven Engineering Software Product Line Engineering Formal Methods in Systems Design Standardization of Modeling Languages (SDL/MSC/UML/SysML) Industrial Applications of CPS (Manufacturing, Automation) Recent Article Trends : His 2020-2024 work emphasizes CPS applications, digital twin evolution, industrial IoT interoperability, and imitation learning in manufacturing automation. Key areas include model-based debugging, energy-efficient IoT networks, and autonomic service orchestration in industrial systems. Grants/Projects : Led EU ECSEL projects Productive4.0 (smart manufacturing) and Arrowhead Tools (IoT middleware). Active in standardization through OMG committees and ITU. Recent contributions include WP leadership in EU Horizon projects focusing on industrial digitalization. Labs/Teams : Leads the CPS Research Group at HiØF. Involved in the Arrowhead Tools consortium and Productive4.0 industrial partnerships (Jotne, Prediktor, Unger Fabrikker).

• Software Quality Characteristics
• Self-Adaptive Systems
• Model-Based Analysis
• +۴ مورد دیگر

Diego Perez-Palacin is a Senior Lecturer in the Department of Computer Science and Media Technology at Linnaeus University, Sweden. He holds a PhD in Computer Science from the University of Zaragoza, Spain. Previously, he served as a postdoctoral researcher at Politecnico di Milano (2013-2016) and a Senior Researcher at the University of Zaragoza (2017), contributing to European (FP7/H2020) and Spanish national research projects. Research Interests: His work focuses on software quality properties, self-adaptive systems, model-based analysis using formal methods, and resilience engineering. Key areas include cyber-physical systems, digital twins, and uncertainty management in adaptive systems. His research groups include AdaptWise (self-adaptive software), Cyber-Physical Systems (CPS), and Engineering Resilient Systems (EReS). Projects: Current projects include developing Digital Twins of Organizations (DTO) and aligning architectures for DTO (Aladino). Completed projects include Smart-Troubleshooting in the Connected Society. His work often involves collaboration with interdisciplinary teams in data-intensive applications and smart industry. Publications: Over 30 peer-reviewed articles in journals like ACM Transactions on Autonomous and Adaptive Systems, IEEE Access, and Journal of Systems and Software. Recent work emphasizes digital twin frameworks, antifragile systems, and uncertainty propagation in adaptive systems.

• Software Engineering
• Artificial Intelligence Ethics
• UML
• +۳ مورد دیگر

Gonzalo Génova Fuster is a faculty member at the Carlos III University of Madrid in the Computer Languages and Systems department. His academic career spans over two decades with significant contributions to software engineering, semiotics, and ethics in computing. He has directed multiple theses and collaborated extensively in interdisciplinary research combining technology and philosophy.

• Software Engineering
• Program Verification
• Formal Methods
• +۳ مورد دیگر

Anna Liolios-Zimmermann is affiliated with the Department of Computer Science at the University of Freiburg. She has held academic roles since at least 2013, specializing in teaching and research areas such as Software Engineering, Program Verification, and Cyber-Physical Systems. Her teaching spans courses like Softwaretechnik / Software Engineering , Cyber-Physical Systems I - Discrete Models , and Automatentheorie . She has consistently contributed to undergraduate and graduate courses, reflecting her expertise in theoretical computer science and practical software methodologies. Research interests include formal methods for software analysis, verification techniques, and hybrid systems. She collaborates on projects involving tools like Ultimate, SMTInterpol, and Hybrid systems analysis, contributing to automated reasoning and model checking. No specific scientific awards are listed in her profile. Her involvement in teaching extends to student projects, practical labs (Softwarepraktikum), and seminars on topics such as Decision Procedures and Static Code Analysis. She has co-organized courses with colleagues in areas like Real-Time Systems and UML-based software design.

• Model Checking
• Abstraction
• Real-Time Systems
• +۷ مورد دیگر

Harald Fecher is affiliated with the University of Freiburg's Department of Computer Science, where he has been part of the AVACS (Advances in Verification of Complex Systems) project since 2008. He holds a PhD in Computer Science from the University of Mannheim (2003) and a Mathematics degree from TU Darmstadt (1999). His postdoctoral research included positions at the University of Kiel and Imperial College London. His research focuses on formal methods, including model checking, abstraction techniques, real-time systems, and formal semantics of UML state machines and process algebras. He has contributed to projects like refism and is involved in the development of tools such as SMTInterpol, Gazoo, and Hybrid systems analysis frameworks. Teaching roles include lectures on formal techniques for distributed systems, automata theory, software engineering, and cyber-physical systems. He has coordinated practical courses (Softwarepraktikum) and advanced seminars on topics like decision procedures and program analysis. His professional activities span academic research, tool development, and educational contributions to formal methods and software verification.

Joanne M. Atleeمشاهده پروفایل

استاد

• Software Engineering
• Software Product Lines
• Feature Interaction Detection
• +۳ مورد دیگر

Joanne M. Atlee is a Professor at the Cheriton School of Computer Science , University of Waterloo, Canada. Her research focuses on software engineering , particularly improving software quality through feature modeling and feature interaction management in complex systems like software product lines , systems-of-systems , and the Internet of Things . She develops theories of composition, interaction detection algorithms, coordination architectures, and proof systems for interoperability. Key research areas include Feature Interaction Management Software Product Line Engineering Model-Based Engineering Formal Verification Her recent publications explore AI-generated code detection (2024), variability-aware analysis (2024), and dynamic assertion generation (2023). Collaborations span institutions like McGill University , INRIA , and Siemens Canada , with applications in automotive software and cyber-physical systems .

• Conceptual Modeling
• Accessibility
• Model-Driven Engineering
• +۴ مورد دیگر

Haydar Metin is an Lecturer at the Vienna University of Technology in the Department of Information Systems Engineering . His research focuses on improving inclusivity in conceptual modeling and software engineering, particularly through accessibility and disability-aware design. His recent publications explore the challenges and opportunities in creating accessible modeling tools using the GLSP framework and UML standards. These works include systematic reviews of existing literature, evaluations of modeling tools, and open-source projects like BIGUML , which aims to provide flexible web-based modeling solutions. Metin’s contributions to model-driven engineering and web tool development highlight his commitment to advancing accessible software design practices. His work bridges the gap between theoretical research and practical applications in conceptual modeling.