جست‌وجوی استاد و پژوهشگر

Nassir Navabمشاهده پروفایل

استاد

• Computer Assisted Interventions
• Augmented Reality
• Medical Imaging
• +۳ مورد دیگر

Prof. Dr. Nassir Navab is a full professor and director of the Chair for Computer Aided Medical Procedures (CAMP) at the Technical University of Munich (TUM), Germany. He also serves as an adjunct professor of computer science at Johns Hopkins University (USA) and holds secondary appointments at TUM’s Medical School. He is internationally recognized for his pioneering work in computer-assisted interventions, augmented reality, medical imaging, computer vision, and machine learning. Education: PhD from INRIA and University of Paris XI, France Postdoctoral Fellowship at MIT Media Laboratory Research Interests: Prof. Navab's research bridges the gap between computer science and medicine. His core interests include: Robotic Imaging Systems : Developing robotic platforms for intraoperative imaging Augmented Reality in Surgery : Creating AR systems for surgical navigation Medical Image Computing : Advanced algorithms for medical image analysis Machine Learning in Healthcare : Deep learning applications in medical imaging Computer Vision : 3D reconstruction and scene understanding Research Trends: His recent publications demonstrate a strong focus on deep learning applications in medical imaging, particularly in 3D volumetric analysis, real-time surgical guidance systems, and automated diagnostic tools. The work spans from fundamental algorithm development to clinical translation, with significant contributions in areas like neural network architectures for medical image segmentation, pose estimation for robotic surgery, and augmented reality systems for intraoperative navigation. Scientific Awards: IEEE Fellow (2022) MICCAI Society Enduring Impact Award (2021) IEEE ISMAR 10 Year Lasting Impact Award (2015) Fellow of MICCAI Society (2012) SMIT Technology Award (2010) Siemens Inventor of the Year (2001) Over 50 best paper awards at international conferences Leadership & Service: General Chair: MICCAI 2015, ISMAR 2001/2005/2014 Founding Board Member: IPCAI (2010-2021) Editorial Board Member: IEEE TMI, MedIA Steering Committee Member: IEEE ISMAR (since 2001) Board of Directors: MICCAI Society (2007-2012, 2014-2017) Laboratories & Teams: Prof. Navab leads the Laboratories for Computer Aided Medical Procedures (CAMP) at TUM, a world-renowned research group focused on developing cutting-edge technologies for computer-assisted surgery and medical interventions. The lab has produced numerous award-winning PhD students who have gone on to become leaders in the field. He also directs the biannual Medical Augmented Reality school series at Balgrist Hospital in Zurich, Switzerland, which has become a premier educational event in the field.

Uta Noppeneyمشاهده پروفایل

استاد

• Human Neuroimaging
• Multisensory Perception
• Learning and Attention
• +۳ مورد دیگر

Prof. Uta Noppeney is a Professor of Systems Neuroscience at Radboud University's Donders Institute for Brain, Cognition and Behaviour. She leads research on multisensory perception, integrating behavioral studies with computational modeling (Bayesian, neural networks) and neuroimaging (fMRI, MEG, EEG). Her academic roles include Director of the Computational Neuroscience and Cognitive Robotics Centre (2012–2019) at the University of Birmingham, and Max Planck Research Group Leader (2005–2012). Current affiliations: Donders Centre for Cognitive Neuroimaging, Biophysics Department Previous: University of Birmingham (2011–2019), Max Planck Institute (2005–2012) Research focuses on how the brain integrates multisensory information for perception, learning, and decision-making. Key topics include perceptual inference, attentional modulation, and probabilistic computations. Her work combines Bayesian modeling with advanced neuroimaging techniques to study both healthy and clinical populations. Recent grants include an ERC Advanced Grant (2023) and Turing Fellowship (2018–2019). Her lab actively recruits MSc/PhD students and PostDocs interested in computational neuroscience and multisensory systems.

Bashar Nuseibehمشاهده پروفایل

استاد

• Requirements Engineering
• Adaptive Systems
• Security Engineering
• +۸ مورد دیگر

Bashar Nuseibeh is a Professor of Computing at The Open University (Director of Computing Research 2002-2008) and a Professor of Software Engineering at Lero - The Irish Software Research Centre (Chief Scientist 2009-2012, 2017-2024). He also holds Visiting Professor roles at University College London and the National Institute of Informatics, Tokyo, Japan. His research focuses on adaptive software engineering, requirements engineering, and security & privacy, with applications in adaptive systems, security requirements analysis, and mobile privacy. His work spans multiple disciplines, including logic programming (ICLP), human-computer interaction (CHI), natural language processing (MedNLP), and software engineering (ICSE/RE). Fellow of the Royal Academy of Engineering (2023) Member of the Royal Irish Academy (2021) Recipient of two European Research Council (ERC) awards: Advanced Grant (2012) and Proof of Concept Grant (2016) ACM SIGSOFT Distinguished Service Award (2015) IEEE TCSE Synergy Award (2018) He has held editorial leadership positions, including Editor-in-Chief of IEEE Transactions on Software Engineering, Automated Software Engineering Journal, and ACM Transactions on Autonomous and Adaptive Systems (since 2017). He chaired the Steering Committee of ICSE and IFIP Working Group 2.9 on Requirements Engineering.

Matteo Saverianoمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۲ مورد دیگر

Matteo Saveriano is an Assistant Professor at the University of Trento, focusing on integrating cognitive robotics into industrial and social environments through AI solutions inspired by human behavior. His research bridges robotics, AI, and human-robot interaction to enhance productivity in smart factories and assistive technologies. Research Focus His work centers on developing robotic systems capable of intuitive learning and safe interaction. Key areas include: Robotic skill acquisition via imitation learning Safe human-robot collaboration frameworks Variable impedance control systems Cognitive architectures for industrial automation Publication Trends Recent publications demonstrate interdisciplinary focus spanning clinical applications (dysphagia diagnostics, Parkinson's therapies), surgical robotics (vocal fold reconstruction), and fundamental biomechanics (tissue elasticity modeling). This reflects a translational research approach connecting engineering innovation with medical practice. Projects & Leadership He coordinates major EU initiatives including: INVERSE (Horizon Europe): Interactive robots learning tasks through reasoning MAGICIAN : Human-robot collaboration for defect detection ARIEL : Assistive robotics for elderly care

Riitta Salmelinمشاهده پروفایل

استاد

• Cortical rhythmic activity
• Neuroimaging of language perception and production
• Normal language function and language disorders
• +۷ مورد دیگر

Riitta Salmelin is a Professor at Aalto University (formerly Helsinki University of Technology), where she has been faculty since 2002. She serves as a leading research scientist at the Brain Research Unit within the Low Temperature Laboratory. Previously, she held the prestigious position of Academy Professor with the Academy of Finland from 2006-2011. Her work bridges physics, neuroscience, and cognitive science through advanced neuroimaging techniques. Dr. Salmelin earned her Doctor of Technology in Physics from Helsinki University of Technology in 1989, followed by a Docent position in Applied Physics in 1995. Her educational background in physics provided the foundation for her pioneering work in applying magnetoencephalography to cognitive neuroscience. Salmelin's research focuses on cortical rhythmic activity, neuroimaging of language perception and production, and the neural basis of normal language function and language disorders. She has made significant contributions to understanding interareal functional connectivity using multimodal imaging techniques, particularly magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). Her work has illuminated how the brain processes speech, reading, and language at millisecond resolution, revealing critical timing differences between normal and impaired language processing. Her 101 peer-reviewed publications demonstrate a consistent trajectory from methodological innovations in MEG to sophisticated applications examining language processing across multiple domains. The most recent publications reveal increasing sophistication in analyzing functional connectivity, with particular emphasis on how rhythmic brain activity supports language comprehension and production. Her work shows how temporal dynamics of neural processing differ between normal language function and disorders like dyslexia. Member of Academia Europaea (2002) Member of Academia Rodinensis Pro Remediatione (2002) Member of Finnish Academy of Science and Letters (2009) Wiley Young Investigator Award, Organization for Human Brain Mapping (2000) Philips Nordic Prize for Research on Neurodevelopmental Disorders (2003) Professor Salmelin has supervised 11 completed MSc theses and 6 PhD dissertations, with numerous additional students in progress. Her grant portfolio includes major international funding from the James S. McDonnell Foundation, European Science Foundation, EU Framework Programmes, and Human Frontier Science Program, as well as substantial national support from the Academy of Finland and Sigrid Jusélius Foundation. She has served on numerous editorial boards including Human Brain Mapping (as Associate Editor) and Brain Topography, and has been active in organizing major international conferences in her field. Salmelin leads research at the Brain Research Unit, part of Aalto University's Low Temperature Laboratory. Her work integrates physics, engineering, and neuroscience to develop and apply advanced neuroimaging methodologies. She has established herself as a world leader in time-sensitive neuroimaging of language processes, creating methodological frameworks that have been widely adopted in cognitive neuroscience.

Shen Heng Taoمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Multimedia Computing
• Computer Vision
• +۳ مورد دیگر

Shen Heng Tao is a Distinguished Professor and Dean of the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). He is also the Executive Dean of the AI Research Institute and Chief Scientist of Vision Intelligence at the Peng Cheng Laboratory. His academic journey includes a BSc (First Class Honours) and PhD from the National University of Singapore (2000 and 2004), followed by roles at the University of Queensland, where he became a Professor in 2011. His research focuses on artificial intelligence, multimedia computing, and computer vision, with notable contributions to cross-media intelligent analysis and real-time video retrieval systems. He has published over 400 peer-reviewed papers, including 160+ IEEE/ACM Transactions, and holds an H-index of 78. His work has been recognized with awards such as the IEEE Fellow, ACM Fellow, OSA Fellow, and Clarivate Highly Cited Researcher. He has led 15 major research grants, including projects from the Ministry of Science and Technology of China and National Natural Science Foundation. His service includes roles as Associate Editor for journals like ACM Transactions of Data Science and IEEE Transactions on Multimedia, and conference chairs like ACM Multimedia 2021. His lab, the Center for Future Media, explores advanced topics like multimodal learning, trustworthy AI, and human-robot interaction. Current research emphasizes cross-modal reasoning and real-world applications in metaverse, autonomous systems, and smart cities.

Nils Wiedemannمشاهده پروفایل

استاد

• Mitochondria
• Protein biogenesis
• Beta-barrel proteins
• +۷ مورد دیگر

Nils Wiedemann is a Professor at the Institute of Biochemistry and Molecular Biology, University of Freiburg, Germany. Elected as an Ordinary Member of the Academy of Europe in 2024, he leads research in mitochondrial biology with international recognition. Studied chemistry at Goethe University Frankfurt, University of Freiburg, and University of Massachusetts Amherst PhD in Cell Biology (summa cum laude, 2002) His research focuses on mitochondrial protein biogenesis, including β-barrel membrane proteins, Fe-S cluster assembly, cardiolipin formation, and presequence translocation. His group determined high-confidence mitochondrial proteomes for yeast and humans, with key findings published in top journals. Notable scientific awards include: 2015 - ERC Consolidator Grant 2011 - Eugen-Graetz Award 2007 - GBM Young Investigator Award 2003 - Hans Grisebach Award 2002 - PhD with summa cum laude With an h-index of 59 and over 12,000 citations, Wiedemann's work has significantly advanced understanding of mitochondrial membrane protein insertion and sorting mechanisms.

• Autistic intervention
• Multi-modal sensing
• Medical devices and systems
• +۴ مورد دیگر

Honghai Liu is a Professor at the University of Portsmouth, UK, with a career spanning over two decades in interdisciplinary research at the intersection of physics, physiology, and biomedical engineering. His affiliations include prestigious institutions like the University of Aberdeen and King’s College London, and he is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Institution of Engineering and Technology (IET). Research Interests: His work focuses on Autistic intervention Multi-modal sensing Medical devices and systems Human motion analytics Machine learning Intelligent robotics and control Stroke rehabilitation Recent publications highlight applications of biomedical engineering in stroke recovery analysis, autism screening protocols, and wearable sensor technology for muscle-computer interfaces. Scientific Awards: Fellow of IEEE (2020) Fellow of IET (2011) His research spans neuroscience, robotics, and control systems, with notable contributions to fatigue-sensitivity analysis and adaptive vehicle suspension technologies.

Luo Jieboمشاهده پروفایل

استاد

• Computer Vision
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has held this position since 2014. He earned his BS and MS in Electrical Engineering from the University of Science and Technology of China (1989 and 1992) and a PhD in Electrical Engineering from the University of Rochester (1995). Prior to academia, he spent 15+ years at Kodak Research Laboratories as a Senior Principal Scientist. His research focuses on computational social science, natural language processing, digital health, computer vision, data mining, and multimedia. Dr. Luo’s work has been recognized through numerous awards, including the ACM SIGMM Technical Achievement Award (2021), Fellowships from ACM, AAAI, IEEE, IAPR, and SPIE. He has authored over 500 peer-reviewed papers, holds 90+ patents, and serves as Editor-in-Chief of the IEEE Transactions on Multimedia. He actively contributes to conference organization (e.g., ACM Multimedia, CVPR) and editorial roles for top journals. Key contributions include pioneering work in social media analytics, sentiment analysis, and digital health, as well as foundational research in multi-label classification and action recognition datasets like UCF 101. His labs and collaborations span the Goergen Institute for Data Science and the Greater Rochester Data Science Industry Consortium.

Aristidis Tsatsakisمشاهده پروفایل

استاد

• Toxicology
• Forensic Sciences
• Biomonitoring
• +۷ مورد دیگر

Professor Aristidis Tsatsakis is a distinguished academic and researcher currently serving as Professor of Toxicology and Director of the Toxicology and Forensic Science Department at the School of Medicine, University of Crete and University General Hospital in Heraklion, Greece. With over three decades of academic service at the University of Crete, he has held various progressive positions from Lecturer to his current Professorship since 2010. He is also the founder and chief scientific leader of the University of Crete spin-off companies ToxPlus S.A. and LifePlus S.A. Professor Tsatsakis' research interests span multiple critical areas in toxicology and public health. His primary focus includes biomonitoring and risk assessment of xenobiotics, particularly examining the links between chronic low-dose exposure to chemicals and health problems such as metabolic disorders, autoimmune conditions, and cancer. He has developed numerous biomarkers of exposure and effects for various chemicals including pesticides and pharmaceuticals, while also exploring telomere length, chronic diseases, aging, and nanotoxicology. His work on real-life risk simulation of exposure has been particularly influential in advancing safety evaluations in the 21st century. His extensive publication record includes over 1,000 publications with more than 700 in ISI journals and PubMed, reflecting his significant contributions to the field. His most recent research (2023-2025) demonstrates a continued focus on substance abuse patterns, innovative drug development approaches, and cross-cultural studies of drug use. These works reveal a consistent emphasis on practical applications of toxicological research to public health challenges, particularly in the areas of alcohol use disorders, opioid addiction, and pharmaceutical safety assessment. Professor Tsatsakis' scientific achievements have been recognized through numerous prestigious awards: EUROTOX Merit Award 2022 Highly Cited Researcher (2020, 2021) Commemorative medal '130 years of the Federal Scientific Center of Hygiene' Gold Medal, Eminent Scientist from IRPC As Principal Investigator, he has coordinated over 60 scientific research and technology projects, establishing worldwide collaborations across multiple continents. His editorial contributions include serving as Editor-in-Chief for Public Health and Toxicology journal and long-standing roles with Toxicology and Toxicology Letters. His leadership extends to prominent positions including past President of the Federation of European Toxicologists and European Societies of Toxicology (EUROTOX) and Honorary President of the Hellenic Society of Toxicology. Professor Tsatsakis leads the Toxicology Science and Research Centre, which investigates thousands of forensic cases annually from Greek territory and internationally. His work bridges academic research with practical applications through his spin-off companies, demonstrating his commitment to translating theoretical knowledge into real-world solutions for public health and safety.

Wardemann Heddaمشاهده پروفایل

استاد

• B cell immunology
• Single-cell analysis
• Immunoglobulin repertoires
• +۴ مورد دیگر

Hedda Wardemann is a Professor and Head of the Division of B-Cell Immunology at the German Cancer Research Center (DKFZ) in Heidelberg, Germany since 2014. She previously served as the Speaker of the Tumor Immunology Program at DKFZ (2016-2019) and held leadership roles at the Max Planck Institute for Infection Biology and The Rockefeller University. Her research focuses on B cell immunology, vaccine development, and systems immunology, with significant contributions to understanding antibody responses against pathogens like malaria and Klebsiella pneumoniae. Education: Dr. rer. nat. in Immunology, Albert-Ludwig-University Freiburg (2001) Graduate Studies in Immunology, Max Planck Institute of Immunobiology (1998-2001) Dipl. Biol. from Albert-Ludwig-University Freiburg (1998) Research Interests: Wardemann’s work spans B cell biology, single-cell analysis, and translational vaccine research. She investigates how natural parasite exposure and vaccination shape protective antibody responses, with a focus on malaria and bacterial infections. Her lab develops high-throughput methods to profile immunoglobulin repertoires and elucidate clonal selection dynamics in immunity. Scientific Contributions: Her recent publications highlight breakthroughs in understanding antibody specificity for Klebsiella pneumoniae, the role of affinity maturation in malaria immunity, and novel methods for single-cell immunoglobulin sequencing. These studies underscore her lab’s dual focus on basic immunology and applied vaccine development. Awards: 2018: Member of the European B Cell Network 2015: Founding member of the IUIS Vaccine Committee Leadership & Grants: As Division Head, Wardemann oversees a multidisciplinary team exploring B cell-driven immunity. Her research has been supported by grants focused on malaria, tuberculosis, and systems-level immunology studies. She maintains collaborations with international institutions like the NIH and the University of Oxford to advance vaccine design strategies. Labs/Teams: Her division operates within the DKFZ’s broader tumor immunology framework, integrating computational immunology, single-cell technologies, and clinical trial data to advance translational research.

Ozan Özdenizciمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Robustness and Safety in ML
• +۴ مورد دیگر

Assoc. Prof. Ozan Özdenizci is a faculty member at the Institute of Machine Learning and Neural Computation, TU Graz, Austria. His research focuses on robustness, safety, and efficiency in machine learning, particularly in adversarial robustness, spiking neural networks, and privacy-aware learning. He holds a PhD from Northeastern University (2016), and MSc/BSc degrees from Sabancı University (2010/2008). Previously, he served as a postdoc at TU Graz (2016–2020) and a research group leader at Montanuniversität Leoben (2020–2023). Affiliations: TU Graz (2023–present), Montanuniversität Leoben (2020–2023), TU Graz Postdoc (2016–2020) Education: PhD (Northeastern University, 2016), MSc/BSc (Sabancı University, 2010/2008) Research Interests: Developing ML systems with robustness guarantees, efficient deep learning (e.g., spiking networks), and privacy-aware mechanisms. Key areas include adversarial defense mechanisms, sparse network design, and neuromorphic computing applications. His work bridges theoretical foundations with practical implementations in computer vision and autonomous systems. Recent Contributions: Advances in privacy-aware lifelong learning (ICLR 2025), robust spiking networks (TMLR 2024), and weather-resistant vision models (TPAMI 2023). His research emphasizes trade-offs between model efficiency, robustness, and scalability. Awards: Top Reviewer at NeurIPS 2023, Outstanding Reviewer at ICML 2022/ICLR 2022 Labs/Teams: Member of Graz Center for Machine Learning (GraML) and ELLIS Unit Graz

Aleksander Grothمشاهده پروفایل

مدرس

• User Experience Design
• Digital Marketing
• eLearning
• +۷ مورد دیگر

Aleksander Groth is a Lecturer at MCI Management Center Innsbruck since 2016, specializing in digital technologies, user experience, and tourism innovation. He holds a PhD in Management (2023) and completed a Doctoral Program in Organizing the Digital (2023). His research focuses on digital well-being, chatbot trust, mobile usability, and social media's societal impact. Education: PhD in Management, University of Innsbruck (2023) Mag. in Business Management, University of Innsbruck (2006) Doctoral Program 'Organizing the Digital' (2018–2023) Research Interests: Groth explores digital technologies’ societal implications, including AI ethics, chatbot design, VR/AR applications, and blockchain. His work bridges organizational theory and digital innovation, emphasizing user-centric approaches in tourism, education, and healthcare. Publications: His recent work includes studies on screen time regulation’s impact on well-being, agent representation in chatbots, and tourism destinations' digital trust. He has published in venues like HCI International and Springer series. Awards: Best Paper Award, HCI International 2023 Best Paper Award, CHIRA 2017 Advising & Grants: Supervised over 100+ theses on topics like generative AI’s marketing impact, VR in fitness, and social media ethics. Active in EU-funded projects like GlobITpro and EDEN, focusing on IT project management and decision support systems. Labs/Teams: Leads research in digital well-being and virtual reality applications at MCI’s Digital Interaction Lab. Collaborates with Holo-Light GmbH on AR/VR user behavior studies and Swarovski on usability testing.

Magdalena Poschمشاهده پروفایل

مدرس

• Digital Ethics
• Social Work Innovation
• Disability Inclusion Technology
• +۳ مورد دیگر

Magdalena Posch is a Lecturer at the University of Innsbruck, currently pursuing a PhD in Political Science. She holds multiple academic degrees from MCI including a Master of Arts in Business (Management, Communication & IT), a Master of Arts in Social Sciences (Social Work, Social Policy & Management), and a Bachelor of Arts in Social Sciences (Nonprofit, Social & Health Management). Her teaching spans across MCI's Management, Communication & IT programs, Social Work programs, and interdisciplinary initiatives. Her research focuses on digital ethics, disability inclusion through technology, and AI bias mitigation. Notable work includes the 'Smart Inclusion' project funded by the State of Tyrol and the Eduard Wallnöfer Foundation. She actively contributes to academic conferences, publishing on topics like AI's impact on student performance and ethical challenges in digital social work. Posch leads the University of Innsbruck's Doctoral Program on Politics, Power, and Language while serving on MCI’s Ethics Committee, University Council, and Gender Equality Plan development team. She has supervised over 20 student theses addressing topics ranging from sustainable business ethics to inclusive education via AR technology.

Teresa Spießمشاهده پروفایل

استاد

• Digital Transformation
• Artificial Intelligence Applications in Workforce
• Employer Attractiveness
• +۶ مورد دیگر

Prof. Dr. Teresa Spieß is a Professor at Management Center Innsbruck (MCI), specializing in Organizational Behavior & Change Management. She holds a Dr.rer.soc.oec. from Universität Innsbruck (2017), focusing on innovative work behavior and personality traits. Her research explores digital transformation, AI's impact on work, family business dynamics, and employer attractiveness. She leads the MCI Zentrum Familienunternehmen and has held roles including Post-Doc Researcher (2018–present), Hochschullektorin (2018–2021), and project management roles in IT and organizational development. Research Interests: Teresa’s work addresses how digital tools reshape workplaces, generational differences in employment preferences, and challenges in family business leadership. Her projects include employer branding strategies for SMEs and ethical AI applications. She emphasizes practical knowledge transfer, bridging academic research with industry needs. Awards: 2021: Preis der Landeshauptstadt Innsbruck for Dissertation on Innovative Work Behavior 2021: Ars Docendi National Teaching Excellence Award 2019: MCI Teaching Award 2007: Academic Excellence Stipend Teaching & Advising: She teaches courses like Future of Work , Managing Change , and Research Methods . Supervised over 100 theses, focusing on topics like AI ethics, employer attractiveness, and technostress. Active in curricula development for blended learning and digital transformation modules. Research Grants: Led projects funded by Tiroler Wissenschaftsfonds (TWF), Austrian Federal Ministries, and FFG. Topics include family business succession, mobile payment adoption, and EdTech innovations. Labs & Initiatives: Co-founded the MCI Zentrum Familienunternehmen and collaborates with industry partners on gamification, VR education, and AI ethics. Involved in EU-funded EdTech initiatives and serves as a journal reviewer for EURAM.