جستجوی استاد راهنمای دانشگاهی

Ali Aghaeifarمشاهده پروفایل

پژوهشگر ارشد

• Magnetic Resonance Imaging
• High-field MRI
• B0 Field Shimming
• +۵ مورد دیگر

Dr. Ali Aghaeifar is a Postdoctoral Researcher at the Department for High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics in Tübingen, Germany. His research focuses on developing advanced magnetic resonance imaging techniques, particularly for ultra-high field (9.4T) brain imaging systems. His research interests span multiple domains of MRI physics and engineering, with emphasis on B0 field shimming , motion correction , and computational simulation of MR phenomena. Aghaeifar has developed several open-source software frameworks including SpinWalk for spin dynamics simulation, TurboBloch for Bloch equation solving, and AMoCo for motion correction in MRI. His recent publications demonstrate expertise in optimizing multi-coil shimming systems, with significant improvements over conventional spherical harmonic approaches. His work bridges physics, engineering, and neuroscience to solve practical challenges in high-field MRI. As a software developer, he has created multiple computational tools implemented in C++ with GPU acceleration using CUDA, and provides interfaces for MATLAB and Python users. His Biot-Savart simulator enables precise calculation of magnetic fields from arbitrary coil geometries.

Leon Urbasمشاهده پروفایل

استاد

• Safety-Critical Systems Engineering
• Model-Driven Engineering
• Modularization in Automation
• +۶ مورد دیگر

Leon Urbas is a Professor at the Chair of Process Control Systems within the Faculty of Electrical Engineering and Information Technology at Dresden University of Technology. Since November 2006, he has led the Chair PCS and P2O-Group, focusing on distributed safety-critical systems and human-technology interaction. His research spans model-driven engineering for automation middleware in process industry systems multimodal interface usability user modeling for prospective system design . He has held leadership roles in academic boards including VDI/GVC, VDE/GMA, and as Editor-in-Chief of atp edition . Urbas earned his doctorate in 1999 from TU Berlin and completed his habilitation in 2006 on human-technology interaction. He has served as Dean of Information Systems Engineering since 2014 and directed graduate studies in automation engineering from 2010-2014. His career includes industry roles at Degussa AG and research leadership at TU Berlin before joining TU Dresden.

Dominik Wermkeمشاهده پروفایل

استادیار

• Human-Centered Security
• Usable Security
• Software Supply Chain Security
• +۳ مورد دیگر

Dominik Wermke is an Assistant Professor in the Department of Computer Science at North Carolina State University. He is affiliated with the Secure Computing Institute (SCI), the Wolfpack Security and Privacy Research (WSPR) Lab, and the Secure Software Supply Chain Center (S3C2). Dr. Wermke's research focuses on computer security with an emphasis on human-centered security and usable security. His work investigates how security mechanisms interact with the needs, practices, and limitations of both software professionals and end users. His primary research areas include: Human-Centered Security and Privacy: Examining how developers and security professionals understand and respond to security concerns in complex environments Software Supply Chain Security: Studying how software is packaged, built, and distributed with focus on reproducibility, dependency management, and vulnerability metadata Open Source Security and Trust: Analyzing practices in distributed development environments, including contribution workflows and vulnerability handling His research employs mixed-methods approaches including interviews, large-scale software ecosystem analyses, user experiments, and surveys to identify behavioral patterns and systemic risks in security practices. Dr. Wermke's publications demonstrate consistent focus on understanding security challenges at the intersection of technical systems and human factors, particularly in software development processes and supply chain contexts. He actively mentors students at NC State, encouraging prospective PhD candidates to explore research opportunities through internships and coursework. Students interested in working with him should contact him after applying to the graduate program. As a member of multiple research centers, Dr. Wermke collaborates across the Secure Computing Institute, Wolfpack Security and Privacy Research Lab, and Secure Software Supply Chain Center to advance security research with practical applications for software professionals.

Albrecht Schmidtمشاهده پروفایل

استاد

• Human-Computer Interaction
• Ubiquitous Computing
• Media Technology
• +۵ مورد دیگر

Prof. Albrecht Schmidt holds the Chair of Human-Centered Ubiquitous Media at Ludwig Maximilian University of Munich (LMU), part of the Faculty of Mathematics, Informatics and Statistics. His academic career spans roles at leading institutions including the University of Stuttgart, University of Duisburg-Essen, and Bonn University. He specializes in human-computer interaction, focusing on enhancing human capabilities through digital technologies. His research bridges cognitive science, AI, and ubiquitous computing, with notable projects on AR/VR interfaces, robot interaction, and smart home privacy solutions. Education: PhD in Computer Science (Lancaster University, 2003), Diplom in Informatik (University of Ulm, 1999). Recognized as a Leopoldina member (2020) and ACM SIGCHI Academy member (2018). Research interests include AI-driven human augmentation, privacy-aware smart systems, and ethical implications of generative AI. Key projects include ERC-funded AMPLIFY (2016) exploring perception enhancement, DFG's SFB-TRR161 on visual computing, and EU's HumaneAI on human-centric AI. Publications span over 600 works in top venues like CHI, UbiComp, and IEEE Pervasive Computing. Current initiatives focus on LLM integration in HCI, tangible privacy controls, and AI bias mitigation in data annotation.

Matthias Kühnbachمشاهده پروفایل

استاد

• Decentralized Energy Systems
• Energy Communities
• Energy Sharing
• +۶ مورد دیگر

Matthias Kühnbach is a Professor of Decentralized Energy Systems at the University of Applied Sciences Kempten (since 2024). His research focuses on techno-economic evaluation of decarbonization strategies for SMEs, energy communities, and smart charging systems. Education: Master's in Industrial Engineering (Karlsruhe Institute of Technology & Bergamo University), PhD in Decentralized Electricity Systems (University of Freiburg) Previous Roles: Researcher at Fraunhofer ISI (2017-2022), Research Group Leader at Fraunhofer ISE (2022-2024) His work explores prosumer models, energy sharing, and the value of coordinated flexibility resources in energy systems. Recent publications analyze smart charging impacts, energy community viability, and demand-side flexibility mechanisms. Key article trends include: Smart EV charging optimization Decentralized energy system modeling Economic analysis of energy communities Demand response in residential and commercial sectors Integration of renewable energy with storage Policy incentives for energy flexibility

Udo Triltschمشاهده پروفایل

استاد

• Manufacturing Metrology
• Information Technology in Production
• Digital Twin
• +۴ مورد دیگر

Prof. Dr.-Ing. Udo Triltsch serves as Dean of the Faculty of Mechanical Engineering at Ostfalia University of Applied Sciences, where he leads the Institute IPT (Institute for Production Technology and Management). His academic profile combines administrative leadership with active teaching in Manufacturing Metrology, Digital Production, and Project Management across bachelor's and master's programs in Mechanical Engineering disciplines. Contact details include Building H, Room 115b, telephone +49 5331 939-45620, and email u.triltsch@ostfalia.de, with office hours arranged via Stud.IP. Research focuses on the digital transformation of manufacturing through Manufacturing Metrology and Information Technology in Production. Key investigations include Digital Twin implementation using physics-based simulations, Process Mining for shopfloor optimization, and Smart Factory applications demonstrated through practical case studies like commercial coffee machine monitoring. His work bridges theoretical frameworks with industrial implementation, particularly addressing challenges faced by small and medium enterprises in adopting Industry 4.0 technologies. Analysis of publications from 2017-2024 reveals evolving research trajectories: early work established foundational Industry 4.0 concepts (robotics, sensor integration), while recent output emphasizes educational frameworks for digital competencies (DiKom Project) and practical implementation strategies. The consistent focus on real-world case studies demonstrates a commitment to applicable research that solves tangible production challenges. Scientific awards are not documented in available sources. However, his active grant-funded projects like DiKom and continuous publication record indicate significant professional recognition within production engineering circles. As an academic supervisor, Prof. Triltsch maintains teaching responsibilities across multiple programs while leading research initiatives. His involvement in the DiKom Project suggests active grant management focused on digital transformation for SMEs. Prospective students would engage with practical Industry 4.0 applications through Institute IPT's industry-connected projects, though specific advising capacity isn't detailed. The Institute IPT serves as his primary research ecosystem, driving work in production technology and management. Current activities center on digital twin development, process mining integration, and competency frameworks for industrial digitalization, with strong emphasis on translating research into implementable solutions for manufacturing partners.

Muhammad Bilal Zafarمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Fairness in AI
• +۳ مورد دیگر

Professor Muhammad Bilal Zafar holds the Chair of AI and Society within the Department of Computer Science at Ruhr University Bochum. He maintains key affiliations with the Research Center for Trustworthy Data Science and Security, Cluster of Excellence CASA (as Principal Investigator), and the Horst Görtz Institute for IT Security. His research program centers on human-centric artificial intelligence with core expertise in: Fairness algorithms for bias mitigation Explainable AI systems Robustness testing in human-AI interaction Trustworthy machine learning deployment Professor Zafar develops technical solutions addressing challenges that emerge when AI models interact with human users across various application domains. Prior to his academic appointment, he gained significant industry experience as Senior Applied Scientist at Amazon Web Services (AWS) in Berlin and Research Scientist at Bosch Center for Artificial Intelligence in Renningen. His educational foundation includes a PhD from the Max Planck Institute for Software Systems (MPI-SWS) and Saarland University under the supervision of Krishna P. Gummadi and Manuel Gomez Rodriguez. He leads the AI and Society research team at Ruhr University Bochum, which investigates the societal implications of artificial intelligence while developing concrete technical approaches for responsible AI development. Prospective researchers can find current opportunities through the team's dedicated information page.

• Bioinformatics
• Computational Genomics
• Precision Medicine
• +۵ مورد دیگر

Dr. Samson Pandam Salifu is a Senior Lecturer in the Department of Biochemistry and Biotechnology at the College of Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. He holds a PhD in Bacterial Viral Genomics from Edinburgh Napier University (2011), an MSc in Biomedical Science (Distinction) from the same institution (2006), and a BSc in Medical Science from Gazi University, Turkey (2000). His academic career spans over a decade at KNUST with leadership roles in laboratory management and postgraduate coordination. Education: PhD in Bacterial Viral Genomics, Edinburgh Napier University, UK (2011) MSc in Biomedical Science (Distinction), Edinburgh Napier University, UK (2006) BSc in Medical Science, Gazi University, Turkey (2000) Research Focus: Dr. Salifu specializes in translational genomics for clinical applications, with expertise in pathogen diagnostics, cancer genomics (particularly Burkitt Lymphoma and breast cancer), and microbiome-cancer interactions. His work bridges molecular biology, bioinformatics, and public health through development of diagnostic tools, genomic data analysis pipelines, and sustainable training frameworks for African researchers. Publication Trends: His 2017-2022 publications demonstrate dual expertise in computational oncology (biomarker discovery for hematologic malignancies) and infectious disease modeling (meningitis transmission dynamics in Ghana). A significant thread involves capacity building through H3ABioNet, where he develops scalable bioinformatics training solutions addressing Africa-specific challenges like internet instability. Scientific Recognition: University Medal for academic excellence and MSc research (2006) PhD Studentship in Bacterial Viruses (2007) Research Leadership: As Examiner for BSc/MPhil/PhD theses since 2014, he mentors the next generation of scientists. His $590,000+ NIH/Fogarty-funded projects establish him as a key architect of Africa's bioinformatics infrastructure, focusing on sustainable leadership development and computational solutions for African health challenges. Collaborative Networks: Through H3ABioNet and Pan African Bioinformatics Network, he co-chairs critical working groups that develop continent-wide bioinformatics support systems, while serving on Ghana's National TB Laboratory Technical Committee to translate genomic insights into public health practice.