جست‌وجوی استاد و پژوهشگر

Martin Meißnerمشاهده پروفایل

استاد

• Digital Marketing
• Social Media Analysis
• Consumer Behavior
• +۴ مورد دیگر

Prof. Dr. Martin Meißner is a Professor of Digital Marketing at the TUM School of Management (Heilbronn campus) since 2022. Previously, he held roles at Zeppelin University (2020–2021) and the University of Southern Denmark (2013–2019). His research focuses on social media, consumer decision-making using eye tracking, and immersive technologies like VR/AR. He earned his PhD in Business Administration from Bielefeld University (2011) and conducted research at Monash University (Australia). Research Interests: - Social media & digitalization impacts - Eye tracking methodologies for decision analysis - VR/AR applications in consumer behavior - Influencer marketing dynamics - Attention-based recommender systems Key Research Contributions: - Developed attention-based VR shopping environments - Advanced eye-tracking applications in organizational research - Investigated decision-making processes in digital contexts Awards: Best Paper Award (Information Systems Research) German Research Foundation (DFG) Grant Westphalian-Lippish University Society Dissertation Prize His work bridges marketing theory with cutting-edge technologies, emphasizing empirical validation through interdisciplinary collaborations with global institutions.

• Biosignal Processing
• Cardiac Electrophysiology
• Heart Rate Variability Analysis
• +۴ مورد دیگر

Prof. Dr. Georg Schmidt is a Professor of Biosignal Processing at the TUM School of Medicine and Health (Technical University of Munich). His research focuses on non-invasive cardiac risk assessment using electrocardiography (ECG) and heart rate variability (HRV) analysis, with emphasis on mortality prediction, arrhythmia detection, and telemedicine integration. He leads major studies like the EU-CERT-ICD cohort and the German National Cohort (NAKO), exploring topics such as ICD efficacy, gestational diabetes impacts, and data protection standards in healthcare. Key affiliations: TUM School of Medicine and Health, Department of Biosignal Processing Leadership roles: Humboldt/Heisenberg Professorship eligibility (per faculty listings) Research interests include: Cardiac autonomic function and arrhythmia risk ECG-based biomarkers for mortality prediction Interoperability of medical devices in smart hospitals Ethical frameworks for secondary use of health data Publications highlight contributions to ICD therapy optimization, fetal cardiac monitoring, and telemedicine in post-COVID scenarios. His work bridges clinical cardiology with engineering innovations in biosignal analysis. Awards: Not explicitly mentioned in provided texts. Advising/Grants: No listed students, but leads large collaborative research projects. Grants likely tied to EU-CERT-ICD and NAKO initiatives. Labs/Teams: Involved in TUM's biosignal processing and telemedicine integration teams.

Amir Shayan Ahmadianمشاهده پروفایل

پژوهشگر

• Software Engineering
• Privacy-Preserving Technologies
• Data Spaces
• +۴ مورد دیگر

Dr. Amir Shayan Ahmadian is a Researcher at the Institute of Software Engineering within Department 4 at the University of Koblenz-Landau. His primary role involves software engineering research and teaching responsibilities. He has been actively involved in academic activities since at least 2015, with notable contributions to privacy-preserving technologies, model-based analysis, and industrial data ecosystems. His work emphasizes ethical AI, algorithmic fairness, and privacy-by-design frameworks. Research Interests: His core research focuses on privacy engineering , data space architectures , algorithmic fairness , and model-driven software development . He explores practical solutions for integrating privacy into system design, developing methodologies for detecting biases in AI, and creating scalable frameworks for secure industrial data sharing. His work often bridges theoretical computer science with real-world applications in healthcare, logistics, and manufacturing. Teaching Highlights: He has taught Web Engineering (2015-2019) and supervised seminars on Engineering Responsible Information Systems (2018). These courses emphasize ethical technology development and responsible innovation. Publications Overview: Ahmadian's recent work (2018-2024) reflects a strong focus on privacy-preserving systems and fairness in AI. Key themes include health data spaces, model-based verification for discrimination analysis, and industrial 4.0 platforms. His publications often propose novel architectures, methodologies, and tools to address emerging challenges in privacy, security, and algorithmic ethics. Labs/Teams: He contributes to the development of the VisiOn Privacy Platform , a tool for visual privacy management, and collaborates on projects like MBFair (model-based fairness verification). His work integrates closely with interdisciplinary teams focusing on healthcare IT, industrial automation, and cybersecurity.

Robert Panitzمشاهده پروفایل

عضو هیئت علمی

• Technology and Innovation Management
• Social Network Analysis
• Economic Geography
• +۳ مورد دیگر

Jun.-Prof. Dr. Robert Panitz is a Junior Professor for Technology and Innovation Management at the University of Koblenz since 2023, affiliated with the Department of Computer Science and the Institute of Management (IfM). He leads the Technology and Innovation Management Research Group, focusing on relational understandings of social and economic action. His research spans organizational learning, industry transformation, and network analysis methodologies. Education: Studied Geography at the Catholic University of Eichstätt-Ingolstadt, earned a PhD at Heidelberg University, and held a visiting professorship at the University of Bremen. Professional interests include innovation processes, digitalization impacts, and regulatory effects on industries. Research emphasizes three core areas: - Technology & Innovation: Organizational learning dynamics, knowledge networks in firms. - Industry Transformation: Digitalization and regulatory influences on markets (e.g., financial services post-Brexit, fisheries governance). - Methodology: Social network analysis applied to mixed-method studies. Recent publications explore governance structures in small-scale fisheries (2024), post-Brexit banking relocations (2023), and cultural institutions’ urban economic resilience during crises (2023). Teaching focuses on research-oriented learning and interdisciplinary debates. Labs/Teams: Directs the Technology and Innovation Management Research Group, collaborating with regional firms to enhance organizational knowledge exchange. Advocates for interdisciplinary research to address complex socio-economic challenges.

Jochen Freyمشاهده پروفایل

استاد

• Measurement Technology
• Electrical Engineering
• Microelectronics
• +۳ مورد دیگر

Prof. Dr.-Ing. Jochen Frey serves as Vice President of Technische Hochschule Mittelhessen (THM) since April 2020. His academic role includes strategic university development and research leadership, including membership in the steering group of the Research Campus of Central Hessen. He holds a professorship in Measurement Technology and Sensors at the Department of Electrical and Information Technology. Education: Married with two children, Frey earned his A-levels at Werner von Siemens School (1995), a Diploma in Electrical Engineering (microelectronics specialization, University of Siegen, 2001), and a Dr.-Ing. in Message Processing (University of Siegen, 2007). Research & Roles: Research focuses on measurement systems, optical technologies, and AI-driven healthcare applications (e.g., respiratory monitoring in children). Former roles include Managing Director of THM's Center for Quality Development (2017–2020) and Dean of the Electrical and Information Technology Department (2012–2017). Leadership in Senate (2013–present) and involvement in interdisciplinary research initiatives like the Research Campus of Central Hessen. Awards & Grants: While no explicit awards are listed, his roles in securing over €10M in annual research funding and leading high-impact projects reflect his contributions to applied sciences. Labs & Collaboration: Active in THM's interdisciplinary Centres of Competence, particularly in optical technologies (Lotus Centre) and AI (KITE Centre). Collaborates with regional optics companies and universities like Justus Liebig University Gießen.

Constantin Papeمشاهده پروفایل

استادیار

• Deep Learning
• Computer Vision
• Biomedical Imaging
• +۴ مورد دیگر

Constantin Pape is a Junior Professor at Georg-August University Göttingen in the Institute of Computer Science, where he leads the Computational Cell Analytics research group since March 2022. His work focuses on developing deep learning and AI methods for biology and medicine, with particular emphasis on biomedical imaging applications. His research spans two main areas: building foundation models for biology and medicine, and protein structure analysis in cryogenic electron microscopy and super-resolution microscopy. Dr. Pape's group is dedicated to open source and open science, contributing to projects like the bioimage.io modelzoo, ome.ngff image data format, and MoBIE Fiji plugin. His research is funded by the DFG through a Sachbeihilfe, the SFB1286 on Quantitative Synaptology, and the Multiscale Bioimaging Cluster of Excellence (MBExC). Dr. Pape's work on foundation models includes Segment Anything for Microscopy (Nature Methods, 2025) and extensions to histopathology and medical imaging. His group develops segmentation models for various applications, including SynapseNet for automatic synapse reconstruction. He has published extensively in top venues including Nature Methods, Cell, Science, and ECCV. His teaching includes a lecture on Deep Learning for Computer Vision and seminars on Deep Learning in Biology and Medicine at the University of Göttingen, as well as co-organizing the Deep Learning for Image Analysis course at EMBL and teaching advanced image analysis through the Hertha Sponer College.

Michael Smolkaمشاهده پروفایل

استاد

• Neuro-cognitive mechanisms of addiction
• Decision making
• Instrumental and Pavlovian learning
• +۴ مورد دیگر

Prof. Michael Smolka holds dual appointments as Full Professor (W2) of Systems Neuroscience at TU Dresden Medical Faculty and Co-opted Professor at TU Dresden Faculty of Psychology. He leads the Section of Systems Neuroscience within the Department of Psychiatry and Psychotherapy. His research focuses on neuro-cognitive mechanisms underlying addiction, decision-making processes, and brain imaging methodologies. Key contributions include studying nicotine dependence, alcohol-induced neural impairments, and adolescent neurodevelopment. Education: Dr. med. from Freie Universität Berlin (1996), Habilitation in Psychiatry from Universität Heidelberg (2006). Professional milestones include leadership roles in Collaborative Research Centers SFB 940 and TRR 265 investigating volition control and addiction mechanisms. Awards include the W.E.-Heraeus Foundation thesis award and Human Brain Mapping Editor's Choice Award. Research interests span computational models of addiction, reward processing networks, and longitudinal cohort studies. His 320+ publications (h-index 54) explore topics like alcohol use disorder neurobiology and adolescent brain maturation. Current projects include developing machine learning tools for psychiatric nosology and real-time addiction interventions. Editorial roles: Addiction Biology (since 2008), Sucht (since 2008) Key grants: Spokesperson roles in 2 major CRCs (SFB 940/265) Labs: Active in Dresden's Systems Neuroscience lab and transdisciplinary addiction research consortia

• Software Technology
• Computer Graphics
• Medical Image Analysis
• +۳ مورد دیگر

Prof. Hans-Heino Ehricke is a Professor at the Faculty of Electrical Engineering and Computer Science at Stralsund University of Applied Sciences. He leads the Medical Information Management/eHealth program and specializes in software technology and computer graphics. His research focuses on medical image analysis, telemedicine systems, visualization techniques, and pattern recognition. Teaching & Research: Teaches courses including Graphic Data Processing, Medical Image Analysis, Virtual Reality, and Software Project Management. Manages laboratories in Computer Graphics/Image Processing and Medical Imaging/Visualization. Affiliations & Expertise: Expertise spans medical imaging systems, digital image processing, and eHealth technologies. Active in developing archiving and communication systems for medical data and telemedicine solutions.

Stefan Conradمشاهده پروفایل

استاد

• Data Mining
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Prof. Stefan Conrad is the Chair of Databases and Information Systems at Heinrich Heine University Düsseldorf's Department of Computer Science, Faculty of Mathematics and Natural Sciences. He has held this position since 2002 and serves as Deputy Spokesperson of the DIID (Digital Innovation Initiative Düsseldorf) since 2023. His research focuses on data mining, machine learning, and natural language processing, with applications in image retrieval, time series analysis, bias mitigation, and fairness in AI. He collaborates with industry partners on projects like ZIM-funded opinion mining and automated text summarization. He has contributed to multiple funded projects, including the NRW-Fortschrittskolleg on Online Participation and VolkswagenStiftung's Mediating Machines. His work spans technical and interdisciplinary domains, including database design, federated systems, and semantic web technologies. Research interests include automated topic recognition, argument structure analysis, and emotion detection in text. He leads the RAPP project on responsible academic performance prediction and is involved in advancing AI ethics and bias-aware methodologies. Publications span conferences like DaWaK, ECIR, and ECAI, emphasizing fairness, bias mitigation, and AI applications. His work bridges theoretical contributions with practical implementations in healthcare, environmental monitoring, and education.

Cristóbal Curioمشاهده پروفایل

استاد

• Cognitive Architectures
• Deep Learning
• Computer Vision
• +۳ مورد دیگر

Prof. Dr.-Ing. Cristóbal Curio is a Professor of Cognitive Systems at the Faculty of Informatics, Reutlingen University since 2014. He also serves as Prodekan for Research. His academic career includes roles at Max Planck Institute for Biological Cybernetics (2004-2013) and Ruhr-University Bochum. Research focuses on cognitive architectures, deep learning, and experimental methodologies applied to robotics, computer vision, and biomedical engineering. Key projects include EU-funded HEIDI and AIDA initiatives, and BMBF KI Delta Learning. Education: 1992-1998: Electrical Engineering and Computer Science degrees at Ruhr-University Bochum and Purdue University 1998-2003: PhD in Computer Science, Ruhr-University Bochum 2014: Habilitation, University of Tübingen Teaching: Courses include Cognitive Systems (Master's), Advanced Image Processing, and Applied Artificial Intelligence. Labs: Leads the Angewandte Künstliche Intelligenz and Ambient Assisting Cloud Lab . Research interests span cognitive systems, neural networks, and human-centric computing with applications in healthcare and autonomous systems. Active in EU and national research programs, publishing extensively on topics like robotic pose estimation, medical image analysis, and human-robot interaction.

• Biomedical Engineering
• Artificial Intelligence
• Health Informatics
• +۵ مورد دیگر

Prof. Natividad Martínez Madrid is a full professor at Reutlingen University, specializing in biomedical engineering, artificial intelligence, and health informatics. She leads research in smart healthcare systems, sleep monitoring, and sensor-based medical technologies. Her work focuses on developing non-invasive solutions for sleep apnea detection, cardiorespiratory monitoring, and telemedicine applications. Teaches in the Medien- und Kommunikationsinformatik (Bachelor) and Human-Centered Computing (Master) programs. Leads the AI-Reallabor and Lehr- und Forschungs Operationssaal labs, advancing applied research in assistive technologies and medical informatics. Research interests include machine learning for healthcare, wearable sensors, and personalized medicine. Key projects involve creating smart home health systems and cross-border telemedicine platforms. Over 50 peer-reviewed publications (2013–2024), emphasizing AI-driven diagnostics and sensor integration in medical systems. Active in international collaborations, including EU-funded projects on digital health and ambient assisted living.

Frank Ellrichمشاهده پروفایل

استاد

• Terahertz Technology
• Communications Engineering
• Digital Signal Processing
• +۳ مورد دیگر

Prof. Frank Ellrich is a Professor of Communications Engineering, Digital Signal Processing, and Terahertz Technology at the Technical University of Bingen, Department 2 – Technology, Computer Science and Economics. He holds a Dr.-Ing. from TU Kaiserslautern and has extensive research experience at Fraunhofer Institutes (IPM and ITWM). His work focuses on terahertz spectroscopy for industrial applications like layer thickness measurement and non-destructive testing, with notable contributions to THz sensor systems and security technologies. He actively participates in SPIE Photonics West and has authored over 50 publications in optics, materials science, and engineering. Awards include the VDE Prize (2002) and the Fraunhofer Excellence Award (2013). Teaching responsibilities include courses on digital transmission, optical systems, and signal processing at both BA and MA levels. His research integrates advanced measurement techniques with industrial challenges, emphasizing practical applications in automotive, aerospace, and security sectors. Ellrich leads projects on THz-based substance identification and has pioneered interferometric methods for precision measurements. His work bridges fundamental physics with engineering solutions, addressing real-world problems in material analysis and quality control. Key achievements include development of fiber-coupled THz systems, vibration-compensated measurement setups, and real-time self-calibration methods. He collaborates internationally, presenting at conferences worldwide (e.g., IRMMW-THz, CLEO). His patents cover spectral logic for hazardous substance detection and interferometric THz techniques. Current focus areas include industrial automation of THz inspection and enhancing THz imaging resolution for complex environments.

Ülfet Isci-Özalpمشاهده پروفایل

پژوهشگر

• Consumer Behavior
• Consumer Psychology
• Electronic Word of Mouth (eWOM)
• +۴ مورد دیگر

Dr. Ülfet Isci-Özalp is a Postdoctoral Researcher at the Chair of Quantitative Marketing and Consumer Analytics within the Mannheim Business School at the University of Mannheim, Germany. She is actively engaged in research focusing on consumer behavior, consumer psychology, and electronic word-of-mouth (eWOM) phenomena. Her research interests lie at the intersection of digital consumer engagement and marketing analytics. She investigates how consumers process and respond to negative online reviews and product risk information, particularly in cross-cultural contexts such as Turkey. Her work applies quantitative methods to understand psychological mechanisms in consumer decision-making. The available publications show a consistent focus on negative eWOM and its impact on consumer perception and behavior, indicating a specialized trajectory in digital marketing and consumer insights. Both works were published in 2020 and reflect empirical research grounded in real-world consumer responses. While no formal advising or grant activities are mentioned, her academic journey includes prior teaching and research roles at Kırklareli University and Turkish-German University. She also brings industry experience from marketing management roles in the automotive and construction industries, enriching her applied research perspective. Dr. Isci-Özalp was supported by a DAAD scholarship during her doctoral studies, which included research time at the University of Mannheim. This international academic exposure has contributed to her current position in one of Europe’s leading business schools.

• Sharing Economy
• Transportation Economics
• Digital Platforms
• +۲ مورد دیگر

Shunyuan Zhang is a Professor at Harvard Business School (HBS) and affiliated with Harvard University. His research focuses on the intersection of sharing economies, transportation economics, and digital platform dynamics. Research interests include: Demand interactions between ride-sharing (Uber/Lyft) and home-sharing (Airbnb) Economic impacts of algorithmic transportation networks Geospatial demand dispersion analysis Recent publications demonstrate expertise in: 2022 - Long-term equilibrium effects in sharing markets 2021 - Computer vision applications for property demand prediction 2018 - Social media content engineering for consumer engagement Contact information: Harvard University - Business School (HBS): Soldiers Field Road, Morgan Hall, Boston, MA 02163 Harvard University: 1875 Cambridge Street, Cambridge, MA 02138

Jens Kleesiekمشاهده پروفایل

استاد

• Medical Imaging
• Artificial Intelligence
• Oncology
• +۷ مورد دیگر

Jens Kleesiek is a Professor of Translational Image-guided Oncology at the Institute for AI in Medicine (IKIM) in Germany, affiliated with Heinrich Heine University Düsseldorf. He studied medicine in Heidelberg and bioinformatics in Hamburg, earning a Ph.D. in computer science in 2012, followed by radiology certification and habilitation in medical informatics. Research Interests: Self-supervised and weakly supervised learning for clinical pattern recognition Multimodal data integration to enhance decision-making Medical image analysis, segmentation, and body composition modeling AI applications in oncology, radiology, and pathology Explainable AI for real-world clinical implementation Publications highlight his work on diseases like cancer and liver fibrosis, focusing on deep learning, federated learning, and image analysis. Studies include virtual contrast enhancement in MRI, GAN-based data synthesis, and AI in radiology. Education spans medicine (Heidelberg) and bioinformatics (Hamburg), with a Ph.D. in computer science. His clinical training includes radiology and medical informatics at the German Cancer Research Center (DKFZ) and University Hospital Heidelberg. Collaborations involve institutions like the German Cancer Research Center, University Hospital Heidelberg, and Heinrich Heine University Düsseldorf. He co-authored works on medical imaging, language models, and AI ethics in healthcare.