جست‌وجوی استاد و پژوهشگر

Isabel Cardoso Barbosaمشاهده پروفایل

پژوهشگر

• Quantum Physics
• Condensed Matter Physics
• Quantum Sensing
• +۲ مورد دیگر

Dr. Isabel Cardoso Barbosa is a researcher in the Department of Physics at RPTU Kaiserslautern-Landau, working within Prof. Artur Widera's research group. Her work focuses on quantum sensing applications using nitrogen-vacancy (NV) centers in diamond, with significant contributions to magnetic field detection and materials characterization. Her primary research interests span quantum physics, condensed matter physics, and materials science, specifically investigating charge conversion effects in NV-center relaxometry, spin-crossover phenomena in paramagnetic complexes, and nanoscale magnetic field sensing. This work bridges fundamental quantum mechanics with practical sensor development for advanced materials analysis. Dr. Barbosa's publication record (2023-2025) demonstrates a clear progression from foundational studies of charge conversion mechanisms to the development of specialized magnetic field sensors and their application in probing spin-crossover thin films. Her research consistently integrates quantum sensing techniques with materials science to address challenges in magnetic characterization at the nanoscale. Scientific Awards: No scientific awards mentioned in available documentation She actively contributes to the quantum sensing laboratory at RPTU, collaborating on experimental setups for diamond-based quantum devices and participating in cutting-edge research on NV-center applications in complex material systems.

Alireza Abbasimoshaeiمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Haptics
• Rehabilitation Engineering
• +۵ مورد دیگر

Dr.-Ing. Alireza Abbasimoshaei is a postdoctoral researcher at the Hamburg University of Technology (TUHH), affiliated with the Institute of Mechatronics in Mechanical Engineering (M-4) . His work focuses on robotics, haptics, and rehabilitation engineering. Current role: Research Fellow at TUHH Past roles: Visiting scientist at TU Braunschweig; Doctoral student at Tarbiat Modares University Education: Master's in Mechanical Engineering (University of Tehran); Bachelor's in Mechanical Engineering (Mazandaran University) Research Interests : Specializing in robotics , haptics , and rehabilitation engineering , his work bridges advanced robotic systems with practical applications in telerehabilitation, telemedicine, and assistive technologies. Key areas include: Wearable robotic devices Cloud-based control systems Immersive virtual rehabilitation environments Intelligent control strategies DevOps/Cloud development Publications & Research Trends : With over 30 peer-reviewed publications, his work spans tactile interaction optimization, sensor integration, and control system development. Recurring themes include haptic feedback mechanisms, AI-driven rehabilitation systems, and wearable PCB implementations. Scientific Awards : First place in Iranian World Robot Olympiad Elite Awards from National Elite Foundation of Iran Secured BMBF and DFG funding Social Innovation Award (Hamburg Maker Challenge) Hamburg Teaching Award for hybrid lectures Teaching & Mentorship : Lecturer in courses like Applied Mechatronic Design Methodology and Haptic Technologies , he has supervised over 40 students in projects ranging from Ultrasound haptic devices Eye-tracking control systems Whisker sensor development Exoskeleton design Labs & Projects : Co-developer of TUHH's Haptics Lab and the VRobotia educational robotics platform.

Mohammad Sadeghiمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Haptics
• Finite Element Method (FEM) Simulation
• +۳ مورد دیگر

Mohammad Sadeghi is a Research Fellow at the Institute of Mechatronics in Mechanical Engineering, Hamburg University of Technology, specializing in robotics, haptic systems, and sensor design. He holds a Dr.-Ing. degree and maintains active roles in research supervision and collaborative industry projects. His academic foundation includes: M.Sc. in Mechanical Engineering from Ferdowsi University, Mashhad, Iran B.Sc. in Mechanical Engineering from Birjand University, Birjand, Iran Dr. Sadeghi's research integrates robotics with medical applications, focusing on wearable exoskeletons for telerehabilitation, bio-inspired whisker sensors, and magnetoelectric actuator systems. His methodological approach combines finite element simulation, inverse optimization, and machine learning to solve challenges in human-robot interaction and precision sensing. Recent work demonstrates growing emphasis on mixed reality integration for industrial haptic feedback and minimally invasive surgical applications. Publication analysis reveals dual research thrusts: medical robotics (40% of recent output) featuring rehabilitation devices and surgical sensors, and magnetoelectric systems (35%) for bioimaging and precision actuation, complemented by biomaterials and manufacturing optimization studies. Recognition includes: Hamburg Innovation Call for Transfer award (2024) for surgical precision enhancement via whisker sensors He supervises six active theses on topics including magnet-based whisker sensors and mixed reality haptic feedback, with Kyrillos Adeeb's 2024 singularity-avoidance project completed. Industry collaborations with Schaeffler (robotic manufacturing), MBJ GmbH (solar robotics), and bAhead (liquid handling systems) demonstrate translational impact. His experimental work utilizes the institute's Haptics Lab and PHiLsLab for hardware-in-the-loop validation of autonomous systems.

• Virtual Reality
• Extended Reality (XR)
• Computer Graphics
• +۵ مورد دیگر

Prof. Dr. Kiran Varanasi serves as a Professor in Virtual and Extended Reality at the Faculty of Computer Science and Media, Leipzig University of Applied Sciences. His research focuses on 3D shape processing, real-time facial animation, and convolutional neural network applications in computer vision. University: Leipzig University of Applied Sciences School: Faculty of Computer Science and Media Academic Rank: Professor Research Interests: Varanasi's work bridges virtual reality , machine learning , and interactive systems . Key areas include: 3D reconstruction using deep learning Facial animation pipelines Light field data processing Surface defect classification with CNNs Interactive character control Publication Trends (2018–2021): His recent articles emphasize monocular 3D reconstruction , real-time feature extraction , and immersive VR environments , often leveraging convolutional networks and geometric warping techniques. Advising and Grants: No specific students or advisory roles are listed in the provided text. The faculty participates in collaborative projects like website redesign for the Egyptian Museum, though Varanasi's direct involvement isn't specified. Labs and Teams: The faculty includes multimedia labs and research groups in digital transformation, but Varanasi's direct affiliations with these units are not explicitly stated.

Oleksandr Stroyukمشاهده پروفایل

پژوهشگر

• Semiconductor Nanocrystals
• Photocatalysis
• Photochemistry
• +۵ مورد دیگر

Dr. Oleksandr Stroyuk is a researcher at the Helmholtz Institute Erlangen-Nürnberg (HI ERN), affiliated with the University of Erlangen-Nürnberg. His expertise spans semiconductor nanocrystals, photocatalysis, lead-free perovskites, and high-throughput synthesis methods. Current role: Researcher Institution: University of Erlangen-Nürnberg Key collaborations: Forschungszentrum Jülich (via HI ERN) Stroyuk’s research focuses on advanced materials for photovoltaics and energy conversion, including: Development of lead-free perovskite compounds High-throughput diagnostics for PV modules Quantum dot-based electron transport layers Nondestructive spectroscopy techniques Carbon nitride in optoelectronic applications His recent publications highlight trends in photovoltaic materials , quantum dot engineering , and nondestructive testing , particularly for silicon and organic solar cells.

Eva Klopockiمشاهده پروفایل

استاد

• Human Genetics
• Rare Diseases
• Copy Number Variations (CNVs)
• +۴ مورد دیگر

Professor Eva Klopocki serves as a Professor of Human Genetics at the Institute of Human Genetics within the Biocenter of the University of Würzburg. Her research group focuses on the genetic basis of congenital malformations, particularly limb and craniofacial abnormalities. She has established herself as a leading researcher in copy number variations (CNVs) and their role in human disease pathogenesis. Dr. Klopocki completed her biology studies at the University of Ulm (1994-2000), earned her doctorate in biology from the Free University of Berlin (2004), and obtained a part-time MBA in Biotechnology and Medical Engineering from the University of Potsdam (2005-2007). Prior to her current position, she led a research group at Charité University Medicine Berlin (2003-2012) and headed the Array-CGH Laboratory there (2006-2012). Her research program investigates how copy number alterations (CNVs) contribute to congenital malformations and rare diseases. She employs molecular karyotyping/microarray-based comparative genomic hybridization (array CGH) for genome-wide screening of CNVs. Her work spans multiple projects including the BMBF-funded FACE network studying craniofacial malformations, Philadelphia-type craniosynostosis research, and investigations into congenital limb malformations. Her team utilizes model systems such as zebrafish and mice to functionally validate genetic findings. Analysis of her publication record reveals consistent focus on non-coding regulatory elements in human disease, with recent work expanding into zebrafish modeling, induced pluripotent stem cell systems, and advanced genomic diagnostics. Her research bridges basic science with clinical applications, particularly in rare disease diagnosis. German Society for Human Genetics award European Society for Human Genetics award Professor Klopocki leads multiple research collaborations including the BMBF-funded FACE network for craniofacial malformations involving partners in Berlin, Essen, Freiburg, Cologne, and Tübingen. Her work on craniosynostosis involves collaboration with the Department of Neurosurgery and Pediatric Neurosurgery at the University of Würzburg. Her research group actively recruits patients with primary craniosynostosis and congenital limb malformations for genomic studies. Her laboratory employs array CGH analyses for genome-wide detection of CNVs, followed by whole-exome sequencing when necessary. Functional validation utilizes RNA in situ hybridization, immunohistochemical staining, and animal models including zebrafish for limb development studies. Her team has developed specialized custom arrays covering non-coding genomic regions with potential regulatory functions for genes involved in craniofacial development.

• Nanomaterials
• Biological Imaging
• Optical Sensing
• +۳ مورد دیگر

Jian Cui is a Principal Investigator at the Helmholtz Pioneer Campus (Helmholtz Munich) since 2018. He previously served as a Junior Group Leader at ETH Zürich (2017) and conducted postdoctoral research at ETH Zürich (2014). Education: B.S. in Chemistry, Stanford University Ph.D. in Physical Chemistry, MIT Research Interests: Jian Cui’s work focuses on synthesizing nanomaterials with unique chemical and optical properties to advance biological imaging and sensing. His interdisciplinary approach combines engineered nanomaterials and nano-optical detection for transdisciplinary outcomes in biomedical applications. Publications Trends: His recent publications (2025–2019) highlight expertise in nanophotonics, plasmonics, and semiconductor nanoparticles, with applications in live-cell imaging, protein interaction sensing, and energy transfer mechanisms. Scientific Awards: ETH Zurich and Marie Curie Postdoctoral Fellowship 2014 Member of USA Delegation to Lindau Meeting of Nobel Laureates 2013 Materials Research Society Graduate Student Award (Silver) 2012 National Science Foundation Graduate Research Fellowship Advising & Collaborations: Jian Cui leads the nanoPROBE lab , a diverse team exploring nanomaterials for biological systems. His research involves collaborations with institutions like ETH Zürich and Technical University of Munich. Labs & Teams: The nanoPROBE lab at Helmholtz Munich pioneers unconventional tools for biological imaging and sensing, leveraging interdisciplinary methods to transcend traditional disciplinary boundaries.

• Temporal Databases
• Time Series Analysis
• Database Systems
• +۴ مورد دیگر

Anton Dignös is a professor at the Free University of Bozen-Bolzano , specializing in temporal databases , time series analysis , and database systems . His research focuses on efficient query processing for interval data, temporal joins, and schema design, with significant contributions to in-memory and time series databases. Key research areas include: Temporal Data Management : Advanced techniques for interval and duration queries. Time Series Analytics : Machine learning integration and pattern detection. Schema Optimization : Automated design and tuning of database schemas. Visual Analytics : Tools for period data comparison and correlation analysis. His work spans collaborations with researchers like Johann Gamper and Michael H. Böhlen , addressing challenges in healthcare systems, industrial applications, and financial data analytics. Notable contributions include algorithms for temporal anti-joins , range-duration queries , and machine learning-based anomaly detection .

• Knowledge Representation and Reasoning
• Geometry Processing
• Machine Learning
• +۱ مورد دیگر

Dr. Stavros Nousias is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich , focusing on applications of Artificial Intelligence in the Built Environment . His work bridges Knowledge Representation and Reasoning , Geometry Processing , and Machine Learning to advance construction informatics and digital twinning. Research Interests: AI for building evacuation prediction, technical drawing segmentation, BIM optimization, and respiratory disease modeling. Publications: 15+ peer-reviewed articles on topics including graph neural networks for construction simulations, pulmonary airflow analysis, and heritage site monitoring. Supervised Theses: Guided projects on AI-based BIM command prediction and robotized construction simulation . Labs: Active in the BIM-Lab and Robotic Fabrication Lab . Teaching: Co-instructor for courses like Artificial Intelligence in Engineering and Computation in Engineering 1 .

Gerhard Schneiderمشاهده پروفایل

استاد

• Materials Science
• Metallography
• Magnetic Materials
• +۷ مورد دیگر

Professor Gerhard Schneider is Head of the Institute for Materials Research (IMFAA) at Hochschule Aalen, where he serves as a Professor in the Faculty of Mechanical Engineering and Materials Technology. With a career spanning several decades, he has established himself as a leading researcher in materials science, particularly in the fields of magnetic materials, metallography, and additive manufacturing. His research interests encompass a wide range of materials engineering topics, with particular focus on magnetic materials (both soft and hard), additive manufacturing techniques (especially selective laser melting), lithium-ion battery technology , and the application of machine learning in materials microscopy . Professor Schneider has published extensively on the microstructure and properties of Fe-Nd-B permanent magnets, additive manufacturing of magnetic components, and advanced characterization methods for materials analysis. Professor Schneider's recent work demonstrates a strong trend toward integrating advanced manufacturing techniques with materials science fundamentals. His publications from the last five years show increasing emphasis on machine learning applications for materials characterization, additive manufacturing of functional materials, and detailed analysis of battery materials. This reflects the evolving nature of materials science research, where traditional characterization methods are being augmented with computational approaches. As Head of the Institute for Materials Research, Professor Schneider oversees a significant research operation focused on advancing materials engineering knowledge and applications. His leadership in the field is evidenced by his extensive publication record and the practical applications of his research in industrial contexts. Professor Schneider maintains an active research program with numerous current projects in materials characterization, additive manufacturing, and magnetic materials development. His work continues to bridge fundamental materials science with practical engineering applications, contributing to advancements in multiple technology areas including electric motors, energy storage, and advanced manufacturing.

Regina Schreiberمشاهده پروفایل

استاد

• Food Technology
• Project Management
• Product Life Cycle Engineering
• +۳ مورد دیگر

Prof. Dr. Regina Schreiber is a Professor and Vice President for Research and Transfer at Kempten University of Applied Sciences , affiliated with the Faculty of Mechanical Engineering and Competence Center for Applied Research in Food and Packaging Technology . She serves as Institute Management and Scientific Management, while also holding the role of Practical Officer for Food and Packaging Technology and Process Engineering and Sustainability bachelor programs. Primary Research Areas: Food Technology Project Management Product Life Cycle Engineering Additive Manufacturing Recent Publications focus on additive manufacturing with polymer powders, sustainable packaging solutions, and e-commerce logistics for perishable goods. Her work includes patents like the Dosierspender (EP3844094) for precision food dispensing systems. Contact : Office: Room S1.01 Email: regina.schreiber@hs-kempten.de

Yasutaka Kameiمشاهده پروفایل

استاد

• Empirical Software Engineering
• Software Reliability
• Software Testing
• +۸ مورد دیگر

Yasutaka Kamei is a Full Professor at Kyushu University's Graduate School and Faculty of Information Science and Electrical Engineering, where he leads the POSL Lab (Process-Oriented Software Laboratory). He was promoted from Associate Professor to Full Professor in January 2024 after serving as Associate Professor from March 2015 to December 2023. He is also an InaRIS Fellow (2023-2033), receiving 10 million yen annually for his research on 'New paradigm for software development styles based on machine-human interaction.' Dr. Kamei's research focuses on Empirical Software Engineering (ESE) and Open Source Software Engineering (OSSE), with particular expertise in software reliability, testing, defect prediction, code review analysis, and mining software repositories. His work bridges empirical methods with practical software engineering challenges, emphasizing how data-driven approaches can improve software quality assurance processes. His recent publications demonstrate a strong trend toward understanding human factors in software development processes, analyzing modern code review practices, investigating technical debt, and exploring the application of large language models in software engineering tasks. His research spans both traditional software engineering challenges and emerging AI-driven approaches to software development. IPSJ/ACM Award for Early Career Contribution to Global Research (2019) Best industry paper award at ESEM 2018 Distinguished Paper Award at MSR 2014 InaRIS Fellow (2023-2033) Dr. Kamei actively serves the software engineering community as Tutorials Chair for ASE 2025 and has been a program committee member for numerous top-tier conferences including ICSE, FSE, ASE, ESEC/FSE, SANER, and MSR. He has secured multiple competitive grants from MEXT (Ministry of Education, Culture, Sports, Science and Technology) to support his research on test case generation, automated software testing for deep learning systems, technical debt engineering, and mining software repositories. His POSL Lab at Kyushu University serves as a hub for empirical software engineering research, focusing on data-driven approaches to improve software development processes and outcomes through rigorous analysis of software repositories and developer activities.

Muhammad Ali Babarمشاهده پروفایل

استاد

• Software Security & Privacy
• Big Data Platforms & Architectures
• Empirical Software Engineering
• +۶ مورد دیگر

Muhammad Ali Babar is a Professor in the School of Computer Science at the University of Adelaide. He leads a theme on architecture and platform for security as service in the CyberSecurity Cooperative Research Centre (CSCRC), which has an estimated budget of A$140 Millions over 7 years with A$50 Millions provided by the Australian government. Prof Babar has established CREST (Centre for Research on Engineering Software Technologies), directing the research, education, and engineering activities of more than 25 researchers and engineers. He has attracted more than $12 Millions in funding from industry and government since 2017. Prof Babar's research focuses on Secure Software Systems and Services for emerging technologies including Cloud Computing, Edge Computing, Internet of Things (IoT), and Big Data. His work sits at the intersection of Software Engineering, Artificial Intelligence (ML/NLP), and Cyber Security, employing empirical research methods both qualitative and quantitative. His recent publications demonstrate a strong emphasis on vulnerability prediction, secure microservices management, and applying large language models to security challenges. With over 320 peer-reviewed scientific papers and 17,763 citations (h-index 66 as of January 2025), Prof Babar ranks among the leading Software Engineering researchers in Australia and New Zealand. His research has been recognized with the most influential paper award for the Australasian Software Engineering Conference in 2014 and multiple best paper awards at international conferences. Most influential paper for Australasian Software Engineering Conference (2014) Multiple best paper awards at international conferences Prof Babar obtained his Ph.D. in Computer Science and Engineering from the University of New South Wales, Australia. His research is conducted in collaboration with industry and government partners including DST, ActewAGL, TSS, ATO, Jemena, Cisco, DST Group, Health SA, and Defence SA, as well as key players in the Australian Cyber Security ecosystem such as AustCyber, Data61, DST Group, Oceania Cyber Security Centre, and Australian Cyber Collaboration Centre (AC3). Prof Babar is eligible to supervise Masters and PhD students and has led high-performing R&D teams that have successfully carried out high-quality research in close collaboration with industry. His leadership in the Cyber Security Cooperative Research Centre represents a significant contribution to Australia's cyber security research capabilities and industry engagement.

Eric Boddenمشاهده پروفایل

استاد

• Secure Software Engineering
• Static Program Analysis
• Automated Program Analysis
• +۵ مورد دیگر

Eric Bodden is a Professor for Secure Software Engineering at Paderborn University and co-director of Fraunhofer IEM. He is also a member of the directorate of the Collaborative Research Center CROSSING at TU Darmstadt. As an ERC fellow, Bodden leads the Attract-Group on Secure Software Engineering at Fraunhofer IEM, where he develops code analysis technology for security in collaboration with leading national and international software development companies. Bodden is one of the leading experts in secure software engineering with a specialty in building highly precise tools for automated program analysis. His research spans static program analysis, Android security, taint analysis, and cryptographic API security. He has made significant contributions to the field through frameworks like FlowDroid for Android analysis, DroidBench benchmark suite, and as one of the chief maintainers of the Soot program analysis framework. His work bridges theoretical advances with practical applications, focusing on creating tools that can be effectively used by developers to enhance software security. His recent publications demonstrate a continued focus on advancing static analysis techniques, with increasing attention to modern challenges like C/C++ analysis, large language models in program analysis, and addressing security vulnerabilities in dependency management. His work shows a consistent trajectory of improving analysis precision, scalability, and usability for developers. Heinz Maier-Leibnitz-Preis (2014) ERC fellow BITKOM Management Club membership (2013) Bodden has advised numerous doctoral students whose theses cover diverse aspects of secure software engineering, including static analysis for Android applications, secure integration of cryptographic software, and information flow security engineering. His research group has received recognition through multiple dissertation awards including Summa cum laude distinctions and the Ernst Denert Software Engineering Award. The group has developed influential tools like FlowDroid, CogniCrypt, and SootUp that have shaped the field of secure software development. At Fraunhofer IEM, Bodden heads the Attract-Group on Secure Software Engineering, which collaborates with industry partners to develop practical security analysis solutions. His team has created several influential frameworks including FlowDroid for Android security analysis and the DroidBench benchmark suite. The group's work bridges academic research with real-world applications, focusing on making security analysis tools more precise, scalable, and usable for developers.

Amiangshu Bosuمشاهده پروفایل

دانشیار

• Empirical Software Engineering
• Code Reviews
• Software Security
• +۸ مورد دیگر

Amiangshu Bosu is a tenured Associate Professor in the Department of Computer Science at Wayne State University's College of Engineering. Previously, he served as a tenure-track Assistant Professor at Southern Illinois University Carbondale from 2016-2018. His academic journey includes completing his Ph.D. at the University of Alabama in 2015 under Professor Jeffrey Carver, followed by postdoctoral research with Dr. Danfeng Yao at Virginia Tech. His educational background reflects a strong foundation in software engineering research, with his doctoral work focusing on empirical approaches to software development practices. This foundation has enabled his current research trajectory examining human aspects of software engineering. Bosu's research program centers on empirical software engineering with particular emphasis on code review dynamics, toxicity detection in developer communications, and diversity issues in open source communities. His work bridges technical analysis with social science perspectives, investigating how communication patterns affect participation, especially regarding gender dynamics in OSS projects. Recent work increasingly incorporates natural language processing and machine learning techniques to build tools like ToxiCR for automated toxicity detection in code reviews. Analysis of his publication record reveals a clear evolution toward examining social dynamics in software development, with growing emphasis on gender bias, toxicity, and diversity issues. His research consistently applies empirical methods to understand real-world developer experiences while developing practical tools to improve code review processes and community health. His scientific recognition includes the prestigious NSF CAREER award (2024), NSF CRII award (2019), and Wayne State University's College of Engineering Research Excellence award (2025). He maintains senior membership status in both ACM and IEEE, reflecting his standing in the computing community. NSF CRII award (2019) NSF CAREER award (2024) College of Engineering Research Excellence award (2025) Senior Member of ACM Senior Member of IEEE Bosu actively contributes to the software engineering research community through service on program committees for major conferences including ICSE, ASE, ESEC/FSE, and ESEM. His GitHub presence (amiangshu.me) demonstrates active engagement with research tools and datasets, particularly those related to code review analysis and toxicity detection. While specific lab structure isn't detailed in the provided materials, his research group appears focused on empirical studies of software development practices with strong connections to industry through collaborations on projects like Chromium OS security analysis.