جست‌وجوی استاد و پژوهشگر

Morten Rhigerمشاهده پروفایل

دانشیار

• Computer Science
• Programming Languages
• Semantics of Programming Languages
• +۱۰ مورد دیگر

Morten Rhiger is an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, specializing in programming language theory and implementation with expertise in semantics, type systems, and compiler design. His research portfolio centers on: Programming Languages : Core design principles and theoretical foundations Semantics : Formal denotational and operational frameworks Type Systems : Safety mechanisms and correctness verification Compilers : Optimization techniques and runtime systems Program Generation : Staged computation and automatic code synthesis Multi-stage Languages : Runtime code generation and partial evaluation Publication trends reveal sustained contributions from foundational work (2009-2012) on pattern combinators and staged computation to recent innovations in type-based uncurrying (2024), with significant interdisciplinary work on energy-transparent systems (2016). His research consistently bridges theoretical rigor with practical implementation challenges. Rhiger actively contributes to major research initiatives including ENTRA (2012-2015) for energy transparency, NUSA (2011-2013) for model checking, and recent energy-certification projects (2020-2022), demonstrating sustained focus on program analysis and energy-aware computing. He maintains strong community engagement through organizing the Copenhagen Programming Languages Workshop and participating in key conferences including the Symposium on Implementation and Application of Functional Languages.

Philippe Ciblatمشاهده پروفایل

استاد

• Statistical Signal Processing
• Digital Communications
• Resource Allocation
• +۶ مورد دیگر

Philippe Ciblat is a Full Professor at Institut Polytechnique de Paris , affiliated with the Communications and Electronics Department (Comelec) and the Information Processing and Communication Laboratory (LTCI) . He obtained his Engineering Degree from Télécom Paris (1996), DEA in Automatic Control from Université Paris-Saclay (1996), PhD from Université Gustave Eiffel (2000), and HDR diploma (2007). After a postdoctoral fellowship at Université de Louvain (2001), he joined Télécom Paris as Associate Professor in 2001 and was promoted to Full Professor in 2011. Research Activities: His research spans three core areas: Statistical/Digital Signal Processing (blind equalization, frequency estimation, distributed estimation) Signal Processing for Communications (OFDM synchronization, UWB localization, cooperative communications) Resource Allocation (HARQ optimization, power allocation, distributed networks) Scientific Leadership: He has served as Associate Editor for IEEE Transactions on Signal and Information Processing over Networks (2018-2022), Senior Area Editor for IEEE Transactions on Signal Processing (2011-2012), and held editorial roles in IEEE Communications Letters and Transactions on Signal Processing. He chairs technical committees at EUSIPCO, SPAWC, and IEEE conferences. PhD Supervision: He has mentored 23 PhD students, including Current: Nils Reynaud (deep reinforcement learning for wind farms), Abdelghani Ghanem (multi-agent driving behavior), Sylvain Nerondat (deep reinforcement learning for ad hoc networks) Former: Yue Bi (distributed computing), Hakim Hafidi (robust graph ML), Arthur Louchart (nonlinear satellite systems), Vincent Corlay (lattice decoding), Alix May (optical network monitoring) Grants & Collaborations: Currently leads projects with TotalEnergies (2025-2028), PEPR Twinfarms (2025-2028), and ANR SUCCEN (2025-2027). Formerly secured ANR, Marie-Curie, and CIFRE grants with Thales, Nokia, Mitsubishi, and Huawei. Labs & Teams: Affiliated with LTCI (Signal, Statistics and Learning team) and has conducted sabbaticals at Technische Universität Berlin, Rutgers University, and Universidad Nacional de Colombia. Actively participates in international conferences as TPC member and reviewer.

• Implicit Psychological Assessment
• Social Categorization and Prejudice
• Expectation Violations
• +۳ مورد دیگر

Prof. Dr. Sarah Teige-Mocigemba serves as University Professor and Head at the Department of Psychological Diagnostics (Teige-Mocigemba Group) within the College of Psychology at Philipps-University of Marburg. She holds a W3 professorship in psychological diagnostics since 2023, having declined a similar position at Albert-Ludwigs-University Freiburg in the same year. Current affiliation: Philipps-University of Marburg Academic rank: Full Professor Research focus: Implicit psychological processes in attitudes, stereotypes, self-concept, and systemic approaches to psychological diagnostics Research Interests: Her work centers on developing and analyzing implicit psychological assessment methods, including: Theoretical analyses of implicit procedures Construct-independent factors affecting implicit measures Social categorization and prejudice Prejudice reduction interventions Expectation violations and stereotype maintenance Context effects in psychological assessment Systemic approaches to psychological diagnostics (in collaboration with Beatriz Arias Martin) Publication Trends: Her 15 most recent articles (2004-2025) demonstrate consistent focus on: Implicit bias measurement techniques Validation of psychological assessment tools Expectation violation models Prejudice and stereotype research Cognitive processes in aggression Online self-assessment methodologies Scientific Awards: Notable recognitions include: Spokesperson for DFG Graduate College 2271 (2017-2026) Brigitte-Schlieben-Lange Program Stipend (2017) Baden-Württemberg Foundation Postdoctoral Grant (2011-2014) Eugen-Fink Early Career Award (2009) Academic Leadership: She supervises doctoral students Paul Bacher, Violetta Biermann, and Kiara Roth. Her research team includes Dr. Manuel Becker and Dr. Massimo Köster. She has served in various academic governance roles including: Mentor in ProProfessur Mentoring Program (since 2022) Chair of the Equal Opportunities Commission (since 2020) Member of the Steering Committee for Graduate College 2271 (since 2019) Member of Marburg's Faculty Council (2018-2022)

• Materials Science
• Sustainable Construction Materials
• Chemical Engineering
• +۷ مورد دیگر

Simonetta Lucia Pagliolico is an Associate Professor at the Department of Applied Science and Technology (DISAT) within the College of Architecture and Design at the Polytechnic of Turin. She holds a tenured position and serves as a Scientific Manager for research projects while also teaching various courses related to materials science and sustainable architecture. Her research interests span across multiple areas of sustainable building materials including chemical reactors, clay bricks, coatings, high performance eco-friendly concrete, photobioreactors, strengthening mortars, technical ceramics, and thermal storage in buildings using phase change materials. Her scientific work falls under the disciplinary sector IMAT-01/A - Materials Science and Technology within Area 0009 - Industrial and Information Engineering. Professor Pagliolico's publications demonstrate a consistent focus on sustainable building technologies, with recent work emphasizing photobioreactor applications for microalgae production as shading systems in buildings, characterization of phase change materials, and innovative approaches to concrete technology. Her research aligns with UN Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), 11 (Sustainable Cities and Communities), and 13 (Climate Action). Her scientific contributions span ERC sectors including Chemical Engineering, Civil Engineering, Materials Engineering, and Sustainable Design. She has been actively involved in teaching Materials Science and Technology courses for Architecture students and has served on doctoral colleges for Technological Innovation for the Built Environment. Professor Pagliolico has managed commercial research projects including the Turin Automatic Metro Line 1 project and investigations into building plaster deterioration. Her work bridges theoretical research with practical applications in sustainable construction materials and energy-efficient building systems.

Michael S. Hsiaoمشاهده پروفایل

استاد

• Testing Verification
• Computer Architecture
• Digital Design
• +۵ مورد دیگر

Michael S. Hsiao is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on design, test, verification, and diagnosis of complex hardware and software systems. He earned his Ph.D., M.S., and B.S. in Electrical Engineering from the University of Illinois. Notably, he was elected an IEEE Fellow in 2013 for contributions to automatic test pattern generation. His work spans natural language processing in hardware verification, hybrid AI systems, and formal methods. He has authored over 80 peer-reviewed publications and led significant research projects. Education: Ph.D., University of Illinois, 1997 M.S., University of Illinois, 1993 B.S., University of Illinois, 1992 Research Interests: Testing and Verification of Hardware Systems Computer Architecture and Digital Design Algorithm Development for Hardware Diagnostics Natural Language Processing in Design Automation Recent Article Trends: Recent work emphasizes integrating NLP with formal verification (e.g., translating English specifications to SystemVerilog assertions), hybrid AI systems for intent clarification, and robotic path-finding using natural language. These contributions bridge abstract language-based specifications with rigorous engineering validation. Awards: IEEE Fellow (2013) – For contributions to automatic test pattern generation of integrated circuits Advising & Grants: While specific student names are not listed here, his research has been supported by over 160 projects. He has also contributed to industry collaborations, including work on anti-counterfeit ICs and hardware security.

• Fluid dynamics
• Rheology
• Transport phenomena
• +۵ مورد دیگر

Michael D. Graham is a Professor of Chemical & Biological Engineering at the University of Wisconsin-Madison, with affiliations in the College of Engineering and Mechanical Engineering. He holds distinguished professorships including the Steenbock Professor of Engineering and Vilas Distinguished Achievement Professorship. Graham earned a PhD from Cornell University (1992) and a BS from the University of Dayton (1986). His research focuses on fluid dynamics, rheology, and transport phenomena across microscale and turbulent flows. Key areas include microorganism locomotion, blood flow dynamics, polymer/surfactant rheology, and turbulence control using machine learning. His work bridges theoretical, computational, and experimental methods to address both fundamental and applied challenges. Recent publications emphasize data-driven modeling of turbulent flows, elastic instabilities, and biological fluid mechanics. Over 30 awards highlight his contributions, including the 2024 Eugene C. Bingham Medal for rheology and the Vannevar Bush Faculty Fellowship (2018). He teaches graduate courses like CBE 620 (Intermediate Transport Phenomena) and supervises thesis research. Graham’s lab develops reduced-order models for turbulence control, leveraging nonlinear dynamics and neural ODEs. His work on sickle cell disease biomechanics and viscoelastic flow instabilities has advanced both engineering and medical applications.

Diana Bairaktarovaمشاهده پروفایل

دانشیار

• Engineering Education
• Spatial Visualization
• Creativity in Design
• +۵ مورد دیگر

Diana Bairaktarova is an Associate Professor in the Department of Engineering Education at Virginia Tech, part of the College of Engineering. She is also an affiliate faculty in Mechanical Engineering and a member of the Human-Centered Design program. With over 15 years of industry experience as a Design and Manufacturing Engineer, her research bridges engineering, psychology, and learning sciences through the ACE(D) Lab. She holds a Ph.D. in Engineering Education from Purdue University (2013), an MBA in Technology Management (Hamline University, 2009), and mechanical engineering degrees from Sofia Technical University, Bulgaria (B.S. 1991, M.S. 1993). Her research focuses on three areas: Learning Environments (e.g., mixed reality, gamification), Factors Impacting Student Performance (spatial visualization, mechanical aptitude), and Creativity/Ethical/Empathic Design. Notable contributions include developing the freely accessible Mechanical Aptitude Test, the ViTA automatic CAD grading tool, and frameworks linking empathy to engineering education. She teaches courses like Foundations of Engineering, Spatial Visualization, and The Startup Class. Key awards include the 2020 W.S. White Innovation Award and XCaliber Award for technology-enhanced learning. Her grants explore topics like ethical STEM culture, mobile learning in thermal-fluids, and holographic sensing technologies. Bairaktarova emphasizes inclusive engineering education through innovative pedagogy and industry collaboration.

• Electrical Engineering
• Automatic Control
• Electromagnetics
• +۳ مورد دیگر

Dr. Аlenka Milovanović is a Full Professor at the Department of Electrical Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac. Her research focuses on Automatic Control , Electromagnetics , and Electrical Measurement , with over two decades of contributions to fields like PID control systems, magnetic material characterization, and educational technology integration. Affiliations: University of Kragujevac, Faculty of Technical Sciences Čačak Roles: Full Professor, Department of Electrical Engineering Her research interests span control systems , magnetic materials , and virtual instrumentation . Notable contributions include studies on nonlinear tank-level control, PID algorithms, and remote laboratory setups for electrical engineering education. She has authored/co-authored 7 books and over 50 peer-reviewed articles , with recent work focusing on applications in maritime engineering and e-learning platforms. Dr. Milovanović has actively participated in international conferences (e.g., ПЕС, UNITECH, KIMC) and contributed to projects like virtual instrumentation for magnetic flux measurement and energy efficiency testing. Her work emphasizes practical applications, such as improving control systems for marine boilers and developing educational tools for remote experimentation.

• Mechanical Engineering
• Materials Science
• Applied Mechanics
• +۵ مورد دیگر

Dr. Deјan Veljković is an Assistant Professor at the Department of Mechatronics , Faculty of Technical Sciences Čačak , University of Kragujevac. He has held academic positions at institutions such as the Higher School of Shipping Belgrade (2017–2020) and has been actively involved in research since 1996. His expertise includes experimental research, material characterization, and vibration-based diagnostics. Education: Bachelor's, Master's, and PhD in Applied Mechanics and Automatic Control, Faculty of Mechanical Engineering, University of Kragujevac. Research Interests: Focus on thermoviscoplasticity of metals/composites, hyperelastic materials (rubber, soft tissues), nonlinear optimization in applied mechanics, and adaptive algorithms for vibration analysis. His work addresses critical issues in industrial machinery diagnostics and biomechanical systems. Research Trends in Publications: Contributions span vibration-based condition monitoring, material behavior modeling, and biomedical applications. Notable areas include adaptive order tracking techniques for rotating machinery and hyperelastic modeling of biological tissues. Awards: Twice awarded for academic excellence during undergraduate studies (1996, 2001). Scholarship holder for doctoral research (Ministry of Science and Technology of Serbia, 2006–2007). Advising & Projects: Extensive involvement in national research projects (e.g., thermoviscoplasticity studies, biomechanical software development). No formally listed advisees, but collaborative research with multiple institutions including BIOIRC and Jaroslav Černi Institute. Labs & Teams: Associated with the Faculty of Technical Sciences Čačak laboratories and the BIOIRC Research and Development Center for interdisciplinary projects in engineering and biomechanics.

• Deaf Education
• Communication Technologies
• STEM Education Accessibility
• +۳ مورد دیگر

Michael Stinson is a Researcher in the Department of Deaf Education at the National Technical Institute for the Deaf (NTID), which operates under the Rochester Institute of Technology. His work focuses on communication technologies, accessibility tools, and inclusive educational strategies for deaf and hard-of-hearing students. Department of Deaf Education, NTID, RIT Researcher specializing in accessibility and deaf education Stinson’s research explores communication dynamics in mixed hearing-status teams, technology-mediated learning, and accessibility solutions for postsecondary education. His publications highlight the role of captioning, speech-to-text services, and tablet-based tools in enhancing educational outcomes for deaf learners. Recent studies investigate collaborative problem-solving across diverse hearing statuses (2020), communication strategy training (2022), and schema-enriched interactions (2021). Earlier work examined behavioral adaptations in captioned communication (2018) and mobile captioning implementation (2014).

• Research Evaluation
• Biotech Innovation
• Technological Change
• +۶ مورد دیگر

Dr. Frederique Bone is a Research Fellow at the Science Policy Research Unit (SPRU) within the University of Sussex Business School. She holds a PhD from the University of Strasbourg and has over eight years of specialized experience in biotech innovation research and research evaluation methodologies. Her position as Associate Faculty reflects her significant contributions to the academic community through both research and teaching activities. Dr. Bone earned her PhD from the University of Strasbourg, where she focused on biotech research projects through academic entrepreneurship at BETA. Following her doctoral studies, she worked on an MRC research project developing the DARE (Diversity Approach for Research Evaluation) framework, which has become central to her research portfolio. Her educational background in both MSc and PhD programs has provided her with a strong foundation in science policy and research evaluation. Her primary research focuses on developing and applying innovative research evaluation methodologies, particularly the DARE framework she helped develop. She examines technological change in biomedical sectors with special attention to cancer diagnostics development. More recently, she has expanded her work to include artificial intelligence's impact on research practices and business policies. Current Project 1: Understanding researcher collaboration in diverse teams (DARE project) Current Project 2: Tracing historical mass production patterns through textual analysis of newspapers/magazines over 150 years (Deep Transitions project) Current Project 3: Analyzing diagnostic technology trends in colorectal, lung, and prostate cancer (CancerScreen project) She convenes an interest group within the Business School focused on AI's impact on business practices and policies, demonstrating her commitment to interdisciplinary research. Dr. Bone's publication record reveals a consistent trajectory of methodological innovation in research evaluation, with increasing focus on mixed-method approaches combining scientometric analysis with qualitative insights. Her work demonstrates strong policy relevance, particularly in research funding systems and evaluation frameworks. The evolution of her research shows progression from biotech innovation studies to broader applications in research policy, with recent expansion into AI-related research dynamics. Her publications frequently address practical implementation challenges in research evaluation systems across different contexts. Dr. Bone has secured research funding from multiple prestigious sources including UK Research and Innovation, Wellcome Trust, Medical Research Council, and Research England. Her grants portfolio demonstrates her ability to secure competitive funding for projects addressing critical challenges in research evaluation and science policy. Notable grants include: Opening-up technology futures (2022-2024) Advancing therapeutics projects through UKSPINE's pipeline (2022) MRC Secondment (2021-2022) UK SPINE Knowledge Exchange Evaluation (2020-2021) How can team science be better evaluated? (2019-2021) Foresight Study on European Stakeholder Appraisal of Diagnostics (2016-2018) She teaches 'Introductory Data Science for Innovation', a module for Science and Technology Policy Master Students at the University of Sussex. This course, which she has taught consistently from 2020-2021, helps students develop programming skills in R while applying data collection and analysis techniques to innovation data. Her teaching directly connects to her research expertise in scientometrics and data-driven research evaluation.

Darrell L. Robinetteمشاهده پروفایل

دانشیار

• Powertrain Electrification
• Connected and Automated Vehicles
• Automotive Engineering
• +۴ مورد دیگر

Darrell L. Robinette is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University (MTU), where he also serves as Area Director for Design/Dynamic Systems. He joined MTU in 2016 after nine years at General Motors, where he focused on powertrain NVH, controls, and electrification. His research emphasizes mobility systems electrification, connected/automated vehicle optimization, and propulsion system integration. Education: Robinette holds a PhD in Mechanical Engineering-Engineering Mechanics (2016) and a BS in Mechanical Engineering (year not specified), both from MTU. Research Interests: His work spans electrification of mobility systems, connected/automated vehicle control systems, automatic transmission dynamics, torque converter optimization, and drivetrain NVH reduction. He leads projects funded by GM, Ford, the Department of Energy, and ARPA-E, addressing topics like heavy-duty off-road electrification and energy-efficient vehicle control strategies. Patents: He holds 15 U.S. patents in powertrain and driveline engineering, including innovations in clutch systems, hybrid transmissions, and NVH mitigation technologies. Advising & Grants: Co-advisor for the SAE-GM Autodrive Challenge II. His funded research includes ARPA-E’s NEXTCAR program for connected vehicle optimization, DOE projects on off-road electrification, and industry collaborations on transmission testing and simulation. Labs/Teams: His work is conducted within MTU’s R. L. Smith Department, focusing on experimental and computational analysis of powertrain systems. He collaborates closely with automotive industry partners on applied research initiatives.

Mariana S Gustafssonمشاهده پروفایل

دانشیار

• Digitalization of Public Administration
• Automation in Social Services
• Digital Citizenship
• +۷ مورد دیگر

Mariana S. Gustafsson is an Associate Professor and Docent at Linköping University, affiliated with the Department of Management and Engineering (IEI) and Political Science (STATSV). Her research focuses on the intersection of digitalization and public administration, particularly in welfare systems and governance challenges posed by automation. Education: PhD in Political Science (2017) from Linköping University, specializing in e-Government. Master’s degrees in Political Science (Central European University) and European Affairs (Lund University). Research Interests: She explores how digitalization transforms public sector operations, including robotic process automation (RPA) in social services, citizen engagement in conflict zones, and digital inclusion strategies. Key projects include analyzing tensions in Swedish income support automation and international collaborations on e-services in Ukraine, Belarus, and Estonia. Teaching: Teaches courses on international governance, welfare systems, and comparative political systems. Leads programs like STRIDE (digital innovation in democracy) and SeGRID (digital democracy in Eastern Europe). Grants & Projects: Funded by FORTE (Swedish Research Council for Health, Working Life and Welfare) and the Swedish Institute. Projects include STREAM-U (strengthening Ukrainian municipalities) and EMDIAC (international digitalization in academia). Labs/Teams: Active in DINO (Digital Norrköping) and Societal Transformations research groups, addressing digital exclusion and institutional resilience in welfare systems.

Marc Bretonمشاهده پروفایل

استاد

• Medical Engineering
• Diabetes Technology
• Automated Insulin Delivery Systems
• +۳ مورد دیگر

Dr. Marc Breton is a Professor at the University of Virginia School of Medicine and serves as Associate Director of Research at the Center for Diabetes Technology. His work focuses on integrating engineering methodologies like mathematical modeling, signal processing, and automatic control into clinical diabetes management. Key contributions include developing the FDA-recognized simulation environment for pre-clinical insulin strategy assessment and leading clinical trials evaluating automated insulin delivery systems (e.g., Artificial Pancreas). His research emphasizes improving glycemic control through closed-loop systems, addressing challenges like hypoglycemia prevention and mealtime insulin adaptation. Dr. Breton’s research spans both Type 1 and Type 2 diabetes, with recent studies exploring AI-driven glycemic prediction, pediatric closed-loop system efficacy, and sex-based differences in treatment outcomes. He collaborates on initiatives such as the Virtual DCCT project, extending landmark clinical trial insights using modern glucose monitoring data. His interdisciplinary approach bridges biomedical engineering and clinical practice, aiming to translate technological advancements into real-world patient care improvements.

Chuan Mengمشاهده پروفایل

پژوهشگر

• Information Retrieval
• Natural Language Processing
• Conversational Search
• +۶ مورد دیگر

Chuan Meng is a researcher transitioning to a postdoctoral position at the University of Edinburgh's Natural Language Processing Group in September 2025. He obtained his PhD in Artificial Intelligence from the University of Amsterdam (UvA) in June 2025, supervised by Maarten de Rijke and Mohammad Aliannejadi. His research focuses on Information Retrieval and Natural Language Processing with Large Language Models , particularly in conversational agents, model/data-efficient neural ranking, and automatic evaluation techniques like query performance prediction. Education: PhD in Artificial Intelligence, University of Amsterdam (2025) MS in Computer Science and Technology, Shandong University (2021) BS in Electronic Commerce, Shandong Normal University (2018) His research interests span conversational search optimization, proactive agent development, knowledge-grounded dialogue systems, and query performance prediction using LLM-generated judgments. Recent work includes UniConv (unified retrieval/response generation), SOLID (intent-aware dialog generation), and QPP++ 2025 workshop organization. Key scientific contributions include 440+ Google Scholar citations (H-index: 13) and publications in premier venues like SIGIR , ACL , EMNLP , and TOIS . He has served as program committee member for SIGIR 2025/2024, ACL 2023, and other top conferences. As teaching assistant , he contributed to Information Retrieval and Natural Language Processing courses at UvA and Shandong University. His administrative roles include IRLab LinkedIn manager, webmaster for IRLab website, and seminar chair at UvA.