جست‌وجوی استاد و پژوهشگر

Dominic Mircea Kristályمشاهده پروفایل

دانشیار

• Distributed applications
• Software architecture
• Internet of Things
• +۱ مورد دیگر

Dominic Mircea Kristály is an Associate Professor in the Department of Control Engineering and Information Technology at the Faculty of Electrical Engineering and Computer Science, Transilvania University of Brașov, Romania. His office is located in Corp V, sala VIII8C at Mihai Viteazul 5, Brașov, and his email is dominic.kristaly@unitbv.ro. His research spans Distributed applications , Software architecture , Internet of Things (IoT) , and Ambient Assisted Living systems , demonstrating a strong commitment to developing technological solutions for elderly care and efficient system design. These interests converge in creating user-centered assistive technologies that enhance independence and quality of life for older adults through innovative engineering approaches. Analysis of his 2022-2025 publications reveals a dual research trajectory: (1) assistive technologies for aging populations focusing on IoT monitoring, voice assistants, and multicomponent platforms to combat social isolation, and (2) system engineering methodologies applying MBSE and CE principles to optimize complex development processes. This work bridges theoretical computer science with practical healthcare applications, particularly in non-invasive home monitoring solutions.

• Marine Technology
• Arctic Technology
• Risk Analysis
• +۳ مورد دیگر

Janne Lahtinen is a Researcher at the Department of Energy and Mechanical Engineering, Aalto University. He works within the Marine and Arctic Technology research group and is associated with the Marine Technology field. His role involves contributing to doctoral-level research projects, as indicated by his designation as a Visitor (Doctoral Researcher) . Research Focus: Janne's work centers on maritime safety, systems engineering, and risk analysis. Key areas include remote pilotage automation, Bayesian network applications in risk modeling, and MBSE language selection frameworks. His research intersects with Marine Technology Arctic Engineering Human-Machine Interaction Safety-Critical Systems Recent Publications highlight methodologies for risk assessment in remote pilotage operations, decision-making tools for systems engineering, and hardware upgrades for microwave radiometry systems. These works span journals like Ocean Engineering , Expert Systems with Applications , and conference proceedings from MicroRad 2020 and ISSAV 2019 .

• Engineering Education Assessment
• Formative Assessment
• Educational Data Integration
• +۷ مورد دیگر

Kerrie Douglas is an Associate Professor of Engineering Education at Purdue University and Co-Director of SCALE. Her research focuses on high-quality assessment practices in engineering education, emphasizing evidence-based decision-making, equity in evaluation, and formative assessment strategies. Education: Ph.D. in Educational Psychology (2012), M.S. in Education, and B.A. in Psychology Research Interests: Assessment validity, social capital in education, microelectronics integration in curriculum, and bias mitigation in educational analytics Key Publications: 15 most recent articles centered on engineering assessment frameworks, equity in STEM evaluation, and workforce development Leadership: Co-Director of SCALE at Purdue University Her current work examines LGBTQI+ inclusivity in engineering, financial ROI of educational programs, and intelligent tutoring systems for design skills.

• Product-Service Systems
• Lifecycle-Oriented Product Planning
• Sustainable Product Development
• +۵ مورد دیگر

Markus Mörtl is a researcher at the Chair of Product Development and Lightweight Design at the Technical University of Munich. His work focuses on product-service systems (PSS), lifecycle-oriented planning, and sustainable product development. He contributes to teaching in cost management, lightweight design, and machine learning for product development, collaborating with Prof. Markus Zimmermann and other team members. University: Technical University of Munich Department: Chair of Product Development and Lightweight Design Research: Digital Twins, Customer Acceptance, Design for Cost, Product-Service Systems Mörtl's research explores the integration of digital twins for sustainable manufacturing, agile approaches in mechatronic development, and frameworks for product-service systems. His work addresses challenges in lifecycle costing, modular design, and indirect cost analysis, with applications in the automotive industry and engineering processes. Recent publications examine sustainable additive manufacturing, data-driven engineering, and trust frameworks for industrial digital twins. He has co-authored over 30 publications with colleagues at TUM, focusing on PSS planning, CO2 reduction technologies, and systems engineering considerations. In teaching, Mörtl assists with courses on cost management, lightweight structures, and machine learning applications in product development. His professional contact details include the email markus.moertl@tum.de and office in Garching, Germany.

• Production Engineering
• Industrial Engineering
• Metal Forming
• +۴ مورد دیگر

Professor Vesna Mandić is affiliated with the Department for Production Engineering at the Faculty of Engineering, University of Kragujevac . Her research focuses on advanced manufacturing technologies, including metal forming, tribology, additive manufacturing, and Industry 4.0 applications. She holds a professorship since 2012 and has contributed extensively to the field through experimental and numerical studies. Research Interests span production engineering and industrial engineering, with a particular emphasis on material selection for tribological components, optimization of metal forming processes (e.g., deep drawing, ironing), and the integration of virtual technologies in manufacturing systems. Her work frequently addresses automotive industry challenges, such as high-strength steel applications and advanced welding techniques. Her publications reflect a trend toward interdisciplinary research, combining numerical modeling with experimental validation to address real-world industrial problems. Notable themes include temperature analysis in forming processes, FDM printing parameter optimization, and the application of photogrammetry in reverse engineering. Awards : None explicitly mentioned in the provided texts. Advising & Grants : No specific grants or advising records detailed, though her research likely involves collaborative projects with industry partners. Labs/Teams : Active in the Faculty's research groups focused on manufacturing systems and material science.

Hemant Purohitمشاهده پروفایل

استادیار

• Model-Based Engineering
• Digital Communication
• Mobile Communication
• +۳ مورد دیگر

Dr. Hemant Purohit is an Assistant Professor and Program Chair (Electrical and Computer Engineering) at the Florida Institute of Technology , affiliated with the College of Engineering and Science and the Department of Electrical Engineering and Computer Science . His expertise spans Model-Based Engineering, Mobile Communication, Digital Communication, and Microprocessors . He holds IEEE Senior Membership and active roles in IEEE Circuits and Systems Society, IEEE Communications Society, IEEE Systems Council, and IEEE Council on RFID. Dr. Purohit has over 19 years of teaching experience with students from diverse nationalities. He received the 2024 Faculty Excellence Award for Teaching at Florida Tech and the Best Teacher Award (three times) at JIET Jodhpur. His research focuses on optimizing communication networks, including Data Interleaving Techniques for resilient systems, RFID system optimization, and pandemic impact analysis on mobile networks. Notable contributions include work on Model-Based Systems Engineering (MBSE) for contingency planning in cellular networks, autonomous systems assurance , and genetic adaptation in fowl under climatic stress . His publications address challenges in wireless communication, network security, and environmental resilience. Grants and collaborations are not explicitly detailed in the text, but his active IEEE memberships suggest involvement in industry-academia partnerships. No lab or team affiliations are specified in the provided data.

Bernhard Rumpeمشاهده پروفایل

استاد

• Software Engineering
• Model-Based Software Engineering (MBSE)
• Domain-Specific Languages (DSL)
• +۱۳ مورد دیگر

Bernhard Rumpe is a full Professor at RWTH Aachen University, where he leads the Chair of Software Engineering (Department of Computer Science 3). His research focuses on model-based software and systems engineering (MBSE), domain-specific languages, and generative development techniques to improve software quality and development efficiency. His research interests include: Model-Based Software Engineering (MBSE) Domain-Specific Languages (DSLs) and language workbenches like MontiCore Model-driven digitalization and digital twins Agile integration with formal modeling Applications in embedded systems, AI, automotive, IoT, and cloud systems His team has developed MontiCore, a powerful language workbench used in both academia and industry for creating and processing DSLs, supporting code generation and static analysis. Research projects span theoretical foundations and industrial applications, with over 100 successfully completed projects celebrated recently. The recent publications reflect a strong trend in model-driven engineering, emphasizing formal modeling, automation, and scalability. Key themes include DSL design, variability modeling, digital twins, and integration of MBSE with agile practices. The work bridges theoretical rigor with practical implementation, especially in safety-critical and complex systems. Scientific contributions and leadership are evident through: Founding and leading a major research chair in software engineering Supervising PhD students such as Sage Binder and Brooke Burson Securing and managing over 100 research projects with industrial partners Developing widely used tools like MontiCore He also actively promotes academic careers, inviting applications for PhD and postdoctoral positions in software engineering, including opportunities for habilitation. The research is conducted within the Software Engineering group at RWTH Aachen, which fosters collaboration between students, researchers, and industry partners, focusing on innovation in software development processes and tools.

Roberto Andresen Eguiluzمشاهده پروفایل

استادیار

• Biolubrication
• Mechanobiology
• Adhesion of biological and synthetic molecules
• +۳ مورد دیگر

Roberto Andresen Eguiluz is an Assistant Professor in the Department of Chemical and Materials Engineering at the University of California, Merced , within the School of Engineering . He is also affiliated with the Materials and Biomaterials Science and Engineering (MBSE) graduate group. His research focuses on understanding and engineering biomolecular adhesion, lubrication, and mechanobiology in both biological and synthetic systems. Education: Ph.D., 2015 — Cornell University M.S., 2010 — National Autonomous University of Mexico B.S., 2007 — National Autonomous University of Mexico (UNAM) Research Interests: His work spans biolubrication , mechanobiology , and the adhesion of biological and synthetic molecules . He investigates how molecular interactions at interfaces influence macroscopic properties such as lubrication, adhesion, and mechanical response in biological systems. His lab employs advanced surface force techniques, hydrogel engineering, and nanoscale characterization to explore applications in cartilage health, drug delivery, and biomaterial design. Recent Research Trends: His publications from 2022–2025 reflect a strong emphasis on synovial fluid mechanics , protein-based hydrogels , catechol-mediated adhesion , and the nanomechanics of biological interfaces . These works bridge fundamental biophysics with translational applications in tissue engineering and biomedical devices. Labs & Teams: He leads a research lab located in SE2 050 and maintains a research website. His team collaborates within the MBSE graduate program and across departments at UC Merced to advance interdisciplinary research in biomaterials and interface science.

• Building Information Modeling (BIM)
• Model-Based Systems Engineering (MBSE)
• Graph-Based Design
• +۳ مورد دیگر

Benedict Harder is a Researcher at the Chair of Computing in Civil and Building Engineering, Technical University of Munich, specializing in Building Information Modeling and Model-Based Systems Engineering. He contributes to the DFG SPP 2187 project on modular concrete bridges and maintains active roles in research and teaching. His educational foundation includes a 2024 Master's thesis on algorithmic design of modular precast structures and a 2021 Bachelor's thesis exploring train station design via parametric modeling. These works established his trajectory in computational civil engineering. Harder's research integrates semantic web technologies with infrastructure design, focusing on SysML-OWL interoperability, graph-based modular construction, and formal methods for BIM. His work bridges computer science formalisms with practical civil engineering challenges, particularly in bridge systems and precast structures. Publication trends reveal consistent advancement in formalizing design processes: early work centered on parametric regulation compliance (2021), evolving to SysML-based bridge representation (2024) and semantic reasoning frameworks (2025). Key themes include graph rewriting for modular design, incremental BIM updates, and MBSE applications in structural monitoring. He supervises graduate research including a 2025 Master's thesis on MBSE for bridge monitoring and teaches courses like Computer-Aided Modeling of Products and Processes. His academic activities align with TUM's BIM-Lab and research groups in Digital Twinning and Knowledge Representation.

• Real-Time Scheduling
• Model-Based Systems Engineering
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.