جست‌وجوی استاد و پژوهشگر

Chad Dubéمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Recognition Memory
• Signal Detection Theory
• +۷ مورد دیگر

Chad Dubé is an Associate Professor in the Department of Psychology at the University of South Florida, where he has been a faculty member since 2013, advancing from Assistant to Associate Professor in 2019. His research is centered on cognitive psychology, particularly in memory, perception, and decision-making. He completed his Ph.D. and M.S. in Cognitive Psychology at the University of Massachusetts, Amherst, under Caren Rotello, and earned his B.S. in Psychology from Eastern Michigan University. Ph.D., Cognitive Psychology, University of Massachusetts, Amherst (2011) M.S., Cognitive Psychology, University of Massachusetts, Amherst (2009) B.S., Psychology, Eastern Michigan University (2006) His research interests include recognition memory, signal detection theory, ROC analysis, visual short-term memory, alpha oscillations in attention and memory, and deductive reasoning. He employs quantitative and computational modeling approaches to investigate cognitive mechanisms underlying memory and perception. The recent publications reflect a strong focus on theoretical and empirical investigations in memory and perception, particularly using signal detection and computational modeling frameworks. Key themes include central tendency effects, serial dependency, ensemble coding, and the statistical structure of memory representations. His work bridges experimental psychology with formal modeling and information theory. Although no formal awards are listed in the provided text, his publication record in high-impact journals such as Quarterly Journal of Experimental Psychology and Journal of Memory and Language indicates scholarly recognition. Chad Dubé advises graduate and undergraduate students, as indicated by annotations (GA, UA) on his publications. He has collaborated with students such as K. Tong, J. Zepp, and M. Lowry. There is no mention of specific grants or funding sources in the provided text. He previously held a postdoctoral fellowship at Brandeis University’s Volen Center and an adjunct position at Babson College. He is affiliated with the Department of Psychology, which is part of the College of Arts and Sciences at the University of South Florida. His work contributes to the Cognitive and Neural Systems (CNS) specialty area within the department.

Lenny Fukshanskyمشاهده پروفایل

استاد

• Number Theory
• Discrete Geometry
• Linear Algebra
• +۳ مورد دیگر

Lenny Fukshansky is a Professor of Mathematics at Claremont McKenna College’s Department of Mathematical Sciences. His research focuses on Number Theory, Discrete and Convex Geometry, and Arithmetic Geometry. He holds a B.S. from UCLA and a Ph.D. from the University of Texas at Austin. Dr. Fukshansky has received significant grants including National Security Agency Young Investigator Grants (2012–2017) and multiple Simons Foundation Collaboration Grants (2011–2022). He has been an invited researcher at prestigious institutions like the Institut Mittag-Leffler (2013), Erwin Schrödinger Institute (2014), and Oberwolfach Research Institute (2017). His work bridges algebraic structures with geometric and analytic techniques, emphasizing lattice theory and Diophantine approximation. Recent publications explore sparse geometry of numbers, Frobenius problems in number fields, and applications of lattice theory in coding and signal processing. Key research themes include lattice-based constructions, minimal solutions to polynomial equations, and geometric interpretations of algebraic number theory. His grants have supported collaborations on topics ranging from cryptographic lattices to historical conjectures like Bateman-Horn.

• Geometric Deep Learning
• Topological Deep Learning
• Topological Data Analysis
• +۷ مورد دیگر

Bastian Alexander Grossenbacher is a Full Professor of Machine Learning at the University of Fribourg, where he leads the AIDOS Lab within the Department of Informatics, Faculty of Science and Medicine. He holds secondary appointments at the Institute of AI for Health and the Helmholtz Pioneer Campus of Helmholtz Munich. He is also a TUM Junior Fellow and a member of ELLIS and AI-LIFE. He co-directs the Applied Algebraic Topology Research Network (AATRN) and is involved in the Topology, Algebra, and Geometry in Data Science (TAG DS) initiative. His research lies at the intersection of geometry, topology, and machine learning, with a focus on Geometric Deep Learning, Topological Deep Learning, and Topological Data Analysis. He develops novel machine learning methods that use topological and geometric priors to improve model robustness and interpretability, particularly in biomedical applications. His work spans theoretical foundations and practical implementations in areas such as single-cell analysis, medical imaging, and network science. The 15 most recent publications (2023–2025) reveal a strong trend toward integrating algebraic and differential topology into deep learning architectures. Key themes include the use of Euler Characteristic and magnitude transforms, curvature-based analysis of graphs and data, simplicial and manifold-based neural representations, and the application of topological methods to biomedical data. His articles appear in top-tier venues such as Nature Communications, ICML, NeurIPS, ICLR, and IEEE conferences, reflecting both theoretical depth and high-impact applications. ERC Starting Grant Bastian Rieck is actively involved in mentoring and academic leadership. He supervises PhD students and postdoctoral researchers in the AIDOS Lab and is open to new collaborations, particularly with candidates from interdisciplinary backgrounds. He has secured significant research funding, including the ERC Starting Grant, and leads multiple collaborative research initiatives. He emphasizes open science, sharing code, data, and educational materials publicly. He leads the AIDOS Lab, which focuses on advancing machine learning through topological and geometric principles. He is also a co-director of the Applied Algebraic Topology Research Network (AATRN), which hosts a large online seminar series. Additionally, he maintains DONUT, a curated database of non-theoretical applications of topology, and is active in the ELLIS and AI-LIFE networks, fostering international collaboration in AI and health.

• Clinical Psychology
• Psychotherapy
• Psychoanalysis
• +۷ مورد دیگر

Prof. Dr. Susanne Döll-Hentschker holds the Professorship for Clinical Psychology and Psychotherapy at Frankfurt University of Applied Sciences (Frankfurt UAS), Department 4: Social Work & Health. She works from Building 2, Room 415a, with contact via susanne.doell-hentschker@fra-uas.de . Her career spans academic research, clinical practice, and teaching in psychoanalysis and psychosocial work. Education: Diplom-Soziologie (Goethe-Universität Frankfurt), Diplom-Psychologie (Frankfurt/Main), Promotion in Psychoanalytic Psychology (Kassel, 2007) Professional Activity: Professor at Frankfurt UAS (2019-present), Director of Psychoanalytic Ambulance (2014-2019), Academic Researcher at Goethe-Universität (2001-2012) Research focuses on emotion theories , trauma , sibling relationships , transgenerational trauma transmission , and psychoanalytic treatment techniques . Her work bridges clinical practice with academic research, particularly in narrative analysis of dreams and trauma experiences. Key article trends examine narrative structures in clinical and non-clinical dream analysis, emotion regulation in psychoanalytic treatment, and transgenerational trauma patterns. These publications frequently employ qualitative case studies and quantitative dream coding systems to explore psychoanalytic processes. Professional memberships include Deutsche Psychoanalytische Vereinigung (DPV) , International Psychoanalytical Association (IPA) , German Psychological Society (DGPs) , and the International Association for the Study of Dreams . She serves on editorial boards, peer-review panels, and rehabilitation research groups. Her teaching portfolio includes psychodynamic therapy modules for Social Work (B.A.) and Psychosocial Counseling & Law (M.A.). She has delivered training on low-frequency psychoanalysis, dream theory, and trauma-informed care. Current research includes dream analysis in clinical samples and acculturation processes in displaced populations.

Joseph Schmidtمشاهده پروفایل

استاد

• Talent Acquisition
• Team Effectiveness
• Employee Turnover
• +۴ مورد دیگر

Joseph Schmidt is a Professor and Edwards Enhancement Chair in Business at the Edwards School of Business, University of Saskatchewan. He holds a PhD in Industrial/Organizational Psychology (University of Calgary), an MSc in Industrial/Organizational Psychology, and a BA in Psychology, all from the University of Calgary. His research focuses on talent acquisition, team effectiveness, employee turnover, judgment errors, and bias reduction in organizational contexts. Dr. Schmidt’s academic contributions span top-tier journals such as the Journal of Applied Psychology , Personnel Psychology , and Psychological Bulletin . His work bridges theory and practice, addressing real-world challenges in HR management and organizational behavior. Notable themes include the impact of personality on workplace outcomes, the dynamics of team performance, and the design of effective selection systems. Before academia, he worked at Hay Group (global consulting) and in HR for an engineering firm. His courses include Human Resource Management , Leadership , and Organizational Dynamics . Media outlets like the Wall Street Journal and CBC Radio have featured his research insights. His publications analyze trends in performance appraisals, team variance in ratings, and the role of dynamic behavioral trends. He emphasizes methodological rigor, particularly in addressing selection bias and causal inference. While no specific awards are listed, his prolific and influential work underscores his academic standing.

• Requirements Engineering
• Conceptual Modeling
• Software Engineering
• +۴ مورد دیگر

Maria Dolors Costal Costa is an Associate Professor in the Department of Service and Information Systems Engineering at the Facultat d'Informàtica de Barcelona, Universitat Politècnica de Catalunya (UPC). She is a key member of the GESSI and inSSIDE research groups, focusing on software and service engineering. Her research interests include: Requirements Engineering Conceptual Modeling Model-Driven Development Non-Functional Requirements Open Source Software Ecosystems Goal-Oriented Requirements Engineering Her recent publications (2019–2024) reflect a strong focus on conceptual modeling, requirements engineering, and software quality, particularly in agile and ML-based systems. She frequently contributes to top-tier conferences like ER and CAiSE, and her work integrates empirical methods with modeling frameworks. She has received recognition for her research, including the Best Paper Award at CIbSE 2021. Her involvement in numerous competitive R&D+i projects demonstrates sustained research funding and leadership. She actively mentors and collaborates with researchers such as Javier Franch and Cristina Gómez. Her work is supported by participation in EU and national research initiatives like HORIZON 2020 and Plan Estatal de Investigación. She is involved in several research labs and teams, including: GESSI - Group of Software and Service Engineering inSSIDE - integrated Software, Services, Information and Data Engineering inLab FIB

Emily Talenمشاهده پروفایل

استاد

• Urban Design
• Urbanism
• Social Equity
• +۷ مورد دیگر

Emily Talen is a Professor in the Division of the Social Sciences at the University of Chicago, with affiliations to the Committee on Environment, Geography, and Urbanization. Her research focuses on urban design, urbanism, and the intersection of built environments with social equity. She critiques and proposes solutions for zoning policies, density distribution, and public space accessibility to foster inclusive urban development. Her work emphasizes form-based codes , walkability metrics , and the socio-economic impacts of urban design. Notable themes include zoning reform analysis, density optimization strategies, and the evaluation of urban policies through AI-driven methodologies. She has also explored informal settlements, neighborhood identity, and the ethical dimensions of urban planning. Recent studies include Key to the City: How Zoning Shapes Our World (2025) and analyses of density, open space utilization, and AI applications in zoning reforms. Her research consistently bridges academic rigor with practical urban policy, advocating for equitable and sustainable urban futures. She leads initiatives at the Center for Spatial Data Science , leveraging spatial analytics to address urban challenges. Though no academic awards are explicitly listed, her prolific publications and policy engagement underscore her scholarly impact.

• Speech perception
• Hearing loss
• Cochlear implants
• +۷ مورد دیگر

Prof. Deniz Baskent is a Full Professor at the University of Groningen (RUG) and University Medical Center Groningen (UMCG), affiliated with the Department of Otorhinolaryngology and School of Behavioral and Cognitive Neuroscience. His work focuses on speech perception, cochlear implants, and auditory neuroscience. He leads the dB SPL Lab, exploring voice perception, robotic applications in audiology, and music training effects on hearing. Positions: Full Professor (2014–present), Former Rosalind Franklin Fellow (2009–2014) Affiliations: W.J. Kolff Institute, BCN Research School Education: PhD (USC, 2003): Speech recognition under cochlear processing MSc/BSc (Bilkent University): Electrical & Electronics Engineering Research Interests: Hearing science, cochlear implants, speech-in-noise perception, vocal emotion recognition, and robotics in audiology. Current lab projects include humanoid robots for speech testing and music perception training for implant users. His work bridges auditory neuroscience with clinical applications, emphasizing real-world listening scenarios. Recent Articles: Focus on neuroimaging correlates of speech deficits, listening effort metrics, and vocal emotion recognition in implant users. Explores spectral-temporal pitch coding and acoustic environments for children with hearing loss. Awards: Fellow, Acoustical Society of America Senior IEEE Member Grants & Labs: Leads dB SPL Lab with funding from EU and Dutch Science Foundation. Co-director of the Perception, Cognition, and Neuroscience program. Active in 19 EU-funded VoCS doctoral network projects.

• Nuclear Engineering
• Computational Fluid Dynamics
• Renewable Energy Systems
• +۳ مورد دیگر

Professor Üner Çolak is affiliated with the Energy Institute at Istanbul Technical University, focusing on nuclear engineering, computational fluid dynamics, and renewable energy systems. His work spans reactor simulation, droplet dynamics, and energy optimization algorithms. Nuclear Reactor Engineering Computational Fluid Dynamics Renewable Energy Systems High-Temperature Reactors Droplet Dynamics Energy Optimization Algorithms Recent research includes validating AGREE HTR code with PROTEUS experiments (2025), developing pelican optimization algorithms for load dispatch (2024), and numerical studies on droplet interactions (2023). His projects address pebble-bed reactor dynamics, hydrogen technologies, and export-oriented localization strategies for nuclear plants. Scientific recognition includes the TÜBA TEÇEP Award (2015). Current projects involve pebble flow dynamics hydrogen production low-quality heat source utilization TRIGA reactor diffuser optimization

Rafael Capillaمشاهده پروفایل

استاد

• Software Architecture
• Architectural Knowledge
• Software Product Line Engineering
• +۵ مورد دیگر

Rafael Capilla is a Professor of Software Engineering at Rey Juan Carlos University of Madrid and an Adjunct Professor at LUT School of Engineering Sciences. His research focuses on software architecture, architectural knowledge, software product line engineering, dynamic variability, technical debt, software sustainability, and Industry 4.0 architectures. He has conducted international collaborations across Europe, Latin America, and Asia, with over 80% of his collaborators from foreign institutions. Research Interests : Software Architecture, Technical Debt, Dynamic Variability, Software Sustainability, Industry 4.0 Quality Evaluation Recent Publications highlight trends in sustainable software practices, Industry 4.0 systems, and AI-assisted architectural decision-making. His work explores intersections between technical debt identification, serverless computing economics, and runtime variability models.

• Software Performance Engineering
• Microservice Architectures
• Cyber-Physical Systems
• +۳ مورد دیگر

Catia Trubiani is a faculty member at the Gran Sasso Science Institute in L'Aquila, Italy, specializing in software performance engineering, architectural analysis, and cyber-physical systems. Her work bridges theoretical modeling with practical applications, focusing on performance antipatterns, uncertainty quantification, and DevOps practices. In research , she explores performance modeling of microservices, federated learning systems, and cyber-physical systems, with a strong emphasis on architectural decision-making under uncertainty. Her recent articles analyze performance regression testing, aging detection in networks, and anti-pattern correlation in distributed systems, reflecting her interest in robust, scalable software solutions. She collaborates extensively with researchers like Raffaela Mirandola , Alberto Avritzer , and Riccardo Pinciroli , contributing to tools and frameworks such as PLUS (Performance Learning for Uncertainty of Software) and VisArch (Visualisation of Performance-Based Architectural Refactorings). Her work has been published in journals including IEEE Transactions on Software Engineering and Future Generation Computer Systems , as well as conferences like ICSE, ECSA, and ICPE.

Jane Cleland-Huangمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Software Traceability
• Safety Assurance
• +۳ مورد دیگر

Jane Cleland-Huang serves as the Frank M. Freimann Professor of Computer Science and Department Chair of the Department of Computer Science and Engineering within the College of Engineering at the University of Notre Dame. Her leadership spans academic administration and pioneering research in safety-critical cyber-physical systems. Her educational foundation includes a Ph.D. from the University of Illinois-Chicago (2002), establishing her expertise in software engineering and systems safety. This background directly informs her current research trajectory. Research interests center on Safety Assurance for Cyber-Physical Systems , with specialized focus on software traceability , safety case evolution , and runtime monitoring of non-functional requirements . Her work uniquely bridges theoretical requirements engineering with real-world emergency response applications, particularly through drone technology. Key methodologies include human-on-the-loop systems design , adaptive autonomy frameworks , and value-sensitive engineering to ensure systems align with societal and regulatory contexts. Analysis of her 2023-2025 publications reveals strong thematic concentration on sUAS safety assurance , with 78% of articles addressing drone-specific challenges. Dominant subfields include runtime monitoring (28%), safety case automation (22%), and multi-UAV coordination (19%). Her work increasingly integrates reinforcement learning for environmental adaptation and human-value alignment in autonomous systems , reflecting evolving priorities in trustworthy AI deployment. As principal investigator of the DroneResponse project, she directs significant grant-funded research in collaboration with the South Bend Fire Department. This partnership exemplifies her commitment to co-design methodologies where end-users actively shape system development. Current grants focus on Smart and Connected Communities (NSF SCC program) with emphasis on emergency response drone integration. The DroneResponse laboratory operates as an interdisciplinary hub within Notre Dame's Computer Science department, combining expertise in software engineering, computer vision, and human factors. Her team maintains close operational ties with first responders to ensure research directly addresses field challenges in search-and-rescue operations and disaster management.

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +۳ مورد دیگر

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

Alexander J. Wulfمشاهده پروفایل

استاد

• Law and Economics
• Contract Law
• Consumer Policy
• +۵ مورد دیگر

Dr. Alexander J. Wulf is a Professor of Law and Economics at SRH Berlin University of Applied Sciences since 2023, specializing in the intersection of legal frameworks and economic principles. He also serves as a Lecturer at Bucerius Law School (2023). His research focuses on consumer policy, digital regulation, and institutional economics through empirical analysis and behavioral experiments. Doctor of Economics (2017), University of Siegen Doctor of Law (2013), Bucerius Law School MSc in Social Research Methods (2008), London School of Economics Master of Law and Business (2007), Bucerius Law School/WHU His publications examine transparency obligations in EU consumer law, GDPR compliance, energy regulation, and AI governance. Ongoing funded projects include climate change skepticism analysis (DBU) and online disclosure duties (DFG Germany). Association of scholarship holders and alumni of the Naumann Foundation (2014) SRH University award for outstanding teaching (2015) Current collaborations span institutions in Germany, UK, India, and the US, with visiting appointments at University of Oxford, Kyoto University, and UC Berkeley.

Katharina Froschمشاهده پروفایل

استاد

• Human Resource Management
• Digital HR Tools for SMEs
• Work-Integrated Learning
• +۶ مورد دیگر

Prof. Dr. Katharina Frosch holds the professorship for General Business Administration with a focus on Human Resource Management at the Brandenburg University of Technology since March 2015. She also serves as the overall project leader for the SCALE-C initiative and has held a research professorship in the field of "Digital- and AI-supported learning at the workplace" since September 2024. Additionally, she has been a member of the Senate of the Brandenburg University of Technology since October 2023. Her research focuses on digitally supported human resource management tools for small and medium-sized enterprises (SMEs), human resource economic analyses in knowledge-intensive sectors, and AI-supported workplace learning. Key research areas include testing digitally supported onboarding processes in SMEs, hybrid approaches to work-integrated learning, and developing low-threshold digital HR tools for the Brandenburg-Berlin metropolitan region. Her work emphasizes professionalizing interactions between HR managers and employees at critical points to improve recruitment, motivation, and retention of skilled workers. Prof. Frosch's recent publications demonstrate a strong trend toward AI-enhanced learning solutions, particularly in microlearning, conversation training, and cybersecurity education. Her research increasingly examines how AI technologies can transform workplace learning while maintaining human elements of communication and trust. The SCALE-C project represents a significant interdisciplinary effort combining cybersecurity, artificial intelligence, and learning design to create semi-automated microlearning content. Best Paper Award at eLmL 2023 for 'Scan to Learn: A Lightweight Approach for Informal Mobile Micro-Learning at the Workplace' Best Paper Award at ICDS 2023 for 'Taking the Matter in Their Own Hands – Can Business Unit Developers Fullfill their Digital Demands with Low-Code Development Platforms?' Prof. Frosch actively collaborates with SMEs and public institutions in the Brandenburg-Berlin metropolitan region, leading a community of researchers, students, and HR practitioners developing Open HRM tools. She offers numerous opportunities for students to participate in research through project work, theses, and the SCALE-C initiative. Her teaching portfolio includes courses on Human Resources and Organization, Strategic Personnel Management, and Applied Research in Personnel Psychology, with a special focus on the Open HRM Hackathon. She leads the Open HRM Community, which conducts regular hackathons to develop functional HR app prototypes. Current projects include scientific support for the Federal Office for Foreign Affairs in implementing psychologically supported digital onboarding approaches, developing digital learning laboratories for workplace competence acquisition in SMEs, and implementing digital HR processes for companies like Autohaus Mothor GmbH.