جست‌وجوی استاد و پژوهشگر

Renata Trinca Colonelمشاهده پروفایل

دانشیار

• Business Analytics
• Data Visualization
• Marketing Research
• +۷ مورد دیگر

Renata Trinca Colonel serves as Associate Professor of Practice at SDA Bocconi School of Management and Adjunct Professor of Statistics at Bocconi University, where she directs Executive MBA programs and coordinates Business Data Analytics for Open Programs. With continuous engagement since 2002, she leads specialized master programs and executive education initiatives focused on data-driven decision-making across global business contexts. Her educational foundation includes a degree in Economic and Social Disciplines (D.E.S.) from Università Bocconi and the International Teachers Programme (ITP) from SDA Bocconi School of Management (2009). Trinca Colonel's research centers on business analytics applications including data visualization, marketing research methodologies, and statistical modeling for business optimization. Her work bridges theoretical frameworks with industrial implementation across energy, transportation, retail, and financial sectors, emphasizing practical translation of complex data into strategic insights for managerial decision-making. Her publication portfolio demonstrates consistent focus on analytics deployment in real-world business environments, with recurring themes in marketing research design, predictive modeling, and data visualization techniques. Recent works show increasing emphasis on hyper-complex scenario management and automotive sector applications, reflecting evolving industry demands for sophisticated analytical capabilities. Her professional recognition includes: Innovation in Teaching Award (2017-2018) from SDA Bocconi School of Management (awarded 2019) As Academic Director of Executive MBA programs and Program Director for Data Analysis courses, she maintains extensive corporate engagement through consulting projects with multinational entities including Enel Green Power, Ferrero, and Banca Mediolanum. Her industry collaborations focus on implementing data analytics frameworks, predictive modeling solutions, and market research systems across diverse operational contexts.

Elizabeth DiRenzoمشاهده پروفایل

دانشیار

• Laryngeal physiology
• Vocal fold biology
• Voice disorders
• +۶ مورد دیگر

Dr. Elizabeth DiRenzo is an Associate Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Music at Stanford University School of Medicine. She is a clinician scientist with expertise in laryngeal physiology and vocal fold biology, serving as Laboratory Director of the DiRenzo Voice Research Lab and practicing as a speech-language pathologist at the Stanford Voice and Swallowing Center. Dr. DiRenzo's educational background includes: B.S. in Speech, Language, & Hearing Sciences from Purdue University (2006) M.S. in Speech Language Pathology from Purdue University (2008) Ph.D. in Vocal Fold Physiology from Purdue University (2012) Postdoctoral Fellowship in Vocal Fold Biology from University of Wisconsin - Madison (2014) Her research focuses on understanding laryngeal mucosal biology to improve prevention and management of voice disorders. Dr. DiRenzo's laboratory integrates basic and clinical science techniques across four main research thrusts: laryngeal epithelial regeneration, laryngeal mucus production, effects of e-cigarettes on laryngeal health, and novel interventions for voice disorders. Her work bridges cellular and molecular biology with clinical applications to address voice disorders affecting millions of people. Dr. DiRenzo's research portfolio demonstrates a strong emphasis on translational applications, particularly in understanding the effects of tobacco products on vocal health and developing gender-affirming voice interventions. Her work spans basic science investigations of vocal fold biology to clinical studies examining voice outcomes in transgender patients. This multidisciplinary approach integrates cellular biology, toxicology, and clinical voice assessment to address complex voice disorders. Dr. DiRenzo has received numerous scientific awards and honors: Distinguished Alumni Award, Purdue University College of Health and Human Sciences (2023) Investigator-initiated Research Project Grants (R01), NIH-NIDCD (2022-) Diversity, Equity, & Inclusion Grant, Stanford Department of Otolaryngology (2021-) New Century Scholars Research Grant, American-Speech-Language-Hearing Foundation (2018-2020) Early Career Research Award R21, NIH-NIDCD (2017-2020) Dr. DiRenzo actively mentors postdoctoral scholars and other researchers in her laboratory. Her research is supported by multiple grants including NIH funding, reflecting the significance of her work in advancing understanding of laryngeal biology and voice disorders. She has established collaborative relationships across multiple disciplines to enhance the translational impact of her research. The DiRenzo Voice Research Lab comprises a multidisciplinary team including undergraduates, medical students, resident and fellow physicians, research scientists, and postdoctoral researchers. The lab focuses on cellular and molecular biology, airway biology, and speech-language pathology, with a commitment to promoting a diverse, safe, and inclusive training environment regardless of race, ethnicity, disability, religion, gender identity, or sexual orientation.

Ali Yousefiمشاهده پروفایل

دانشیار

• Neuroscience Data Analysis
• Biomedical Engineering
• Brain-Computer Interfaces (BCI)
• +۶ مورد دیگر

Dr. Ali Yousefi is an Associate Professor in the Department of Biomedical Engineering at the University of Houston's Cullen College of Engineering. His research focuses on developing statistical and computational methods for analyzing neuroscience data, particularly in linking neural activity to biological/behavioral signals. Key areas include model identification, Bayesian analysis, and real-time neural decoding for applications like brain-computer interfaces and closed-loop stimulation systems. Education: B.S. (Electrical Engineering, Iran University of Science & Technology, 1998), M.S. (Electrical Engineering, Sharif University of Technology, 2000), Ph.D. (Electrical Engineering, University of Southern California, 2014). Postdoctoral training at Harvard Medical School (2019) and Boston University (2019). Research Interests: Neural data analysis frameworks Dynamic neural ensemble modeling Closed-loop brain stimulation systems Bayesian statistical inference High-dimensional data decoding Labs/Teams: Principal Investigator of Yousefilab, focused on neurotechnology and BCI development. Active in interdisciplinary collaborations combining engineering, neuroscience, and machine learning. Key Contributions: Developed methodologies for neural signal decoding, including Bayesian Gaussian process models and latent variable techniques. Pioneered real-time cognitive state prediction and closed-loop systems for enhancing cognitive control in humans.

Martin Lohseمشاهده پروفایل

استاد

• Physiology of receptors
• Pharmacology of receptors
• Molecular biology of receptor function
• +۶ مورد دیگر

Martin Lohse is a Professor for Pharmacology and Toxicology at the University of Würzburg since 1993. He currently serves as Vice President for Research (since 2009) and Executive Director for Graduate Schools (since 2003). His career includes leadership roles at the Rudolf-Virchow-Center for Experimental Biomedicine and foundational research at institutions like Duke University and the Max-Planck-Institute for Biochemistry. Research Focus: Lohse's work centers on receptor physiology and pharmacology, particularly the molecular biology of G-protein-coupled receptors (GPCRs), intracellular signaling, desensitization, and advanced fluorescence microscopy techniques. His studies explore receptor dynamics in cardiac systems and signaling persistence through internalized receptors. Scientific Awards: Gottfried Wilhelm Leibniz-Prize (1999) Ernst-Jung-Prize for Medicine (2000) ERC Advanced Investigator Grant (2008) Bavarian Order of Merit (2006) German Federal Cross of Merit (2002) Leadership & Grants: He initiated the Collaborative Research Center 478 on Regulatory Membrane Proteins and chairs the Rudolf-Virchow-Center funded by the German Research Foundation. His work has secured significant grants, including the 2008 ERC Advanced Investigator Grant.

Ayesha Aliمشاهده پروفایل

استاد

• Graphical Markov models
• Pollination networks
• Multivariate statistics
• +۷ مورد دیگر

Ayesha Ali is a Professor of Statistics and Director of the Master of Data Science program at the University of Guelph. She holds a PhD in Statistics from the University of Washington (2002) and has expertise in statistical methods for complex high-dimensional systems, including ecological networks, causal inference, and bioinformatics. Her research integrates graphical Markov models, machine learning, and statistical computing to address challenges in plant-pollinator networks, livestock genetics, and disease risk modeling. Education: B.Sc. Honours in Statistics and Actuarial Science, University of Western Ontario (1996) M.Sc. in Statistics, University of Toronto (1998) Ph.D. in Statistics, University of Washington (2002) Research Interests: Graphical Markov models and ecological networks Causal inference and longitudinal data analysis Machine learning and high-dimensional predictive modeling Statistical methods for livestock genetics and animal health Computational statistics and bioinformatics Articles Trends: Her recent work spans interdisciplinary applications, including veterinary oncology biomarker discovery, remote sensing for agricultural suitability, and pipeline development for cross-species transcriptomics. She emphasizes graphical structure exploitation in regression and predictive modeling, with contributions to both theoretical and applied statistical methodologies. Awards: Canadian Journal of Statistics Award (2020) for groundbreaking work on doubly sparse regression NSERC Discovery Grant (2018) NSERC Collaborative Research and Development Grant (2015) Advising & Grants: She has supervised numerous graduate and undergraduate students on projects ranging from plant-pollinator network analysis to bioinformatics. Her grants include NSERC-funded research on milk fatty acid genetics and statistical methods for clustered data. Labs/Teams: Involved in the Bioinformatics program at the University of Guelph, contributing to interdisciplinary research collaborations in ecology and animal science.

Cindy Grimmمشاهده پروفایل

استاد

• Robotics
• Agricultural Robotics
• Computer Graphics
• +۳ مورد دیگر

Cindy Grimm is a Professor and Graduate Program Director in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University (OSU), part of the College of Engineering. She is affiliated with the Robotics group, Human-Centered Computing, and Graphics and Visualization. Her research focuses on robotic grasping and manipulation for agricultural applications, ethics in robotics, and interdisciplinary projects such as 3D modeling, medical imaging segmentation, and bio-inspired sensor design. Education: Ph.D. in Computer Science, Brown University, 1996 M.S. in Computer Science, Brown University, 1992 B.A. in Computer Science and Art, University of California, Berkeley, 1990 Research Interests: Dr. Grimm’s work bridges computer science and robotics, emphasizing practical applications in agriculture and ethics. Key areas include robotic fruit harvesting systems, human-robot interaction, and the development of perception-driven algorithms for complex tasks like tree pruning and object manipulation. Her earlier projects explored surface modeling, bat sonar patterns, and 3D sketching interfaces. Publications: Her recent work addresses challenges in autonomous orchard management, robotic gripper design, and public understanding of service robots. Themes include precision agriculture, grasp planning, and sociotechnical aspects of robotics adoption. Awards: Recipient of the NSF CAREER Award, recognizing her contributions to robotics and interdisciplinary research. Service: Leads the Robotics graduate program at OSU, emphasizing ethical and technical training. Collaborates with the Collaborative Robotics and Intelligent Systems Institute (CoRIS) to advance robotics applications. Labs/Teams: Active in the CoRIS Institute, focusing on collaborative robotics and real-world robotic systems. Her lab develops hardware-software solutions for agricultural robotics and human-centered robotic interfaces.

Adrian Filipescuمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Mechatronics
• +۵ مورد دیگر

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

Debajyoti Mondalمشاهده پروفایل

دانشیار

• Information visualization
• Graph drawing
• Computational geometry
• +۶ مورد دیگر

Dr. Debajyoti Mondal is an Associate Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on algorithms, network visualization, computational geometry, and visual analytics. He holds a PhD from the University of Manitoba and has held postdoctoral positions at the University of Waterloo and Microsoft Research. Mondal's work spans interdisciplinary applications, including collaborations with Saskatoon Transit and academic medicine. He has authored over 100 peer-reviewed publications and secured grants such as NSERC Discovery, CFI, and Canada First Research Excellence grants. His awards include the 2023 New Scholar RSAW Award. Education: Ph.D. in Computer Science, University of Manitoba, 2016 MSc in Computer Science, University of Manitoba, 2012 BSc. Engg. in Computer Science, Bangladesh University of Engineering and Technology, 2009 Research Interests : Algorithms, graph drawing, computational geometry, visual analytics, and interdisciplinary applications in software engineering, transportation, and bioinformatics. His lab (VGA Lab) develops visualization systems for big data analysis. Key Contributions : Advanced theoretical foundations in computational geometry and graph drawing, developed practical visualization tools, and contributed to climate-related projects like Global Water Futures. Grants & Awards : NSERC Discovery Grant (2018-2024) CFI Grant (2021-2025) Microsoft Research Internship (2015-2016) New Scholar RSAW Award (2023) Labs/Teams : Leads the VGA Lab, collaborating with interdisciplinary teams on projects like Clone-World (software clone visualization) and SET-STAT-MAP (mixed data visualization).

• Southeast Asian Art Histories
• Cambodian Art
• Premodern Cambodian Arts and Literatures
• +۹ مورد دیگر

Professor Ashley Thompson holds the Hiram W. Woodward Chair in Southeast Asian Art at SOAS University of London, where she also serves as Department Doctoral Studies Convenor in the Department of History of Art and Archaeology within the School of Arts. A specialist in Southeast Asian Art Histories with particular expertise on Cambodia, Professor Thompson's academic journey began with undergraduate studies at Harvard and continued with graduate work at Université de Paris, where she was profoundly influenced by Hélène Cixous. Her educational background includes a BA from Harvard, MA from Université de Paris 3, and PhD from Université de Paris 8. Prior to her academic career, she spent ten years working in post-war reconstruction in Cambodia and Thailand across education, art, archaeology and cultural heritage fields. Her professional experience spans multiple institutions including Phnom Penh's Royal University of Fine Arts, University of California, Berkeley, University of Paris 8, and University of Leeds. Professor Thompson's research maintains a sustained focus on premodern Cambodian arts and literatures, complemented by work on contemporary Southeast Asian arts. Informed by deconstruction and psychoanalysis, her work revolves around memory, political and cultural transition, sexual difference, and subjectivity, with explicitly decolonizing critical perspectives playing an increasing role. Her research examines Hindu and Buddhist sculpture, ritual practices and texts, and other forms of fine and performing arts, with particular attention to the intersections of art, politics, and cultural identity in Southeast Asia. Her recent publications reveal a strong trend toward cultural restitution, decolonizing frameworks, and the political dimensions of artistic representation in Southeast Asia, particularly Cambodia. She has produced significant scholarly work on Theravadin Buddhist arts, post-genocide memory, and the complex legacies of Angkorian civilization. Her research demonstrates a consistent engagement with questions of cultural sovereignty, memory politics, and the ethical dimensions of art historical practice. Professor Thompson currently leads the collaborative research project 'Circumambulating Objects: on Paradigms of Restitution of Southeast Asian Art,' funded by the Getty Foundation's Connecting Art Histories Scheme, and another project expanding her contribution to the restitution of looted Cambodian antiquities. She supervises numerous PhD students working on diverse topics across Southeast Asian art history, archaeology, and cultural heritage. Her doctoral students include Pim Fitzpayne (on Khmer art markets), Panggah Ardiyansyah (on Hindu-Buddhist materials in Indonesia), Conan Yongneng Cheong (on Buddhist memory in Luang Prabang), and several others working on diverse topics across Southeast Asian art history. Her research funding includes support from the Getty Foundation and SOAS Impact and Knowledge Exchange with funding from Research England. Professor Thompson directs research initiatives focused on the restitution of looted Cambodian antiquities and collaborates closely with the Cambodian Ministry of Culture and Fine Arts Restitution Team. Her work connects academic research with practical applications in cultural heritage management, museum studies, and community-based interpretation of restituted artifacts.

Philipp Lensingمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۵ مورد دیگر

Prof. Dr.-Ing. Philipp Lensing serves as a Professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences. His academic work focuses on cutting-edge developments in virtual and augmented reality systems, computer graphics, and game programming. His research interests span Virtual Reality , Augmented Reality , Mixed Reality , Game Programming , Computer Graphics , and Natural User Interfaces . Prof. Lensing has pioneered work in real-time global illumination techniques, avatar calibration systems, and the integration of virtual content with real environments. His research has been applied across diverse domains including landscape planning, physics education, medical rehabilitation, and industrial engineering. Prof. Lensing's recent publications reveal a strong trend toward practical applications of VR/AR technologies in scientific, educational, and industrial contexts. His work increasingly focuses on multimodal interaction, haptic feedback systems, and the integration of VR with complex scientific instrumentation like scanning probe microscopy. He has supervised numerous student projects focused on VR/AR applications, game development, and 3D modeling. His teaching includes courses on Computer Graphics, 3D Game Programming, Virtual and Augmented Realities, and 3D Modeling and Animation. Prof. Lensing leads several research projects including GROWTH (funded by BMBF), VRnano (BMBF), VRFlow Suite, VR-Physio-BOX, and MoDal-MR, all exploring innovative applications of immersive technologies in various practical contexts.

János Kertészمشاهده پروفایل

استاد

• Statistical Physics
• Complex Networks
• Financial Analysis
• +۹ مورد دیگر

János Kertész is a Professor at the Department of Network and Data Science at Central European University (CEU) since 2012, and previously held the position of Professor at the Budapest University of Technology and Economics (1992–2018). He obtained his PhD in Physics from Eötvös University (1980) and DSc from the Hungarian Academy of Sciences (1989). His research spans statistical physics applications, complex networks, and financial analysis. He has authored over 280 papers and served on editorial boards of journals like Journal of Physics A and Physical Review E . His research focuses on interdisciplinary topics including social network dynamics, systemic risk in economic systems, and algorithmic bias in digital environments. Notable awards include the Széchenyi Prize (Hungary’s highest scientific honor) and the Finland Distinguished Professorship. He has led projects such as SAI (Socially Explainable AI) and HUMANE-AI-NET, addressing algorithmic bias and AI ethics. His work bridges physics-based modeling with real-world social and economic systems, emphasizing computational approaches to corruption, opinion formation, and innovation diffusion. Key contributions include modeling cascading failures in interdependent networks and analyzing attention dynamics on platforms like Sina Weibo during the pandemic. He advises on systemic risk mitigation strategies and collaborates internationally, with visiting roles in Germany, the U.S., France, Italy, and Finland.

Slim Essidمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +۷ مورد دیگر

Slim Essid is a Full Professor at Télécom Paris, leading the Audio Data Analysis and Signal Processing (ADASP) group. He holds a Doctorat (Ph.D.) and Habilitation from Université Pierre et Marie Curie (UPMC). With 15+ years of research experience, he has advised 15 PhD graduates and currently co-advises 10 others. His work focuses on machine learning, signal processing, and multimodal systems, publishing over 150 peer-reviewed papers. He serves as a reviewer for top journals/conferences (e.g., IEEE Transactions) and research funding agencies. Education: State Engineering Degree, École Nationale d’Ingénieurs de Tunis (2001) M.Sc. (D.E.A.) in Digital Communication Systems, École Nationale Supérieure des Télécommunications, Paris (2002) Ph.D., Université Pierre et Marie Curie (2005) Habilitation (HDR), UPMC (2015) Research Interests: Multimodal learning, self-supervised representations, audio-visual segmentation, music structure analysis, domain generalization, and speech enhancement. Recent publications highlight innovations like TACO (training-free sound-prompted segmentation) and CLOUDS (domain-generalized semantic segmentation framework using foundation models). His work bridges audio processing with vision and language models, emphasizing unsupervised/zero-shot approaches. Key achievements include state-of-the-art methods in sound event detection, speaker diarization, and music segmentation. He collaborates with 14 post-docs and leads projects funded by French/EU agencies.

Michel Sannerمشاهده پروفایل

استاد

• Molecular Interactions
• Molecular Graphics
• Component-Based Software
• +۳ مورد دیگر

MICHEL SANNER is a Professor of Molecular Biology at the Department of Integrative Structural and Computational Biology at Scripps Research. He holds a PhD in Computer Science from the University of Haute Alsace, France (1992). His research focuses on computational methods for molecular interactions, molecular graphics, and component-based software development. Notable contributions include the AutoDock suite (for molecular docking), PMV (a molecular visualization environment), and Vision (a visual programming tool). His research group develops tools like AutoDock CrankPep for peptide docking and F2Dock for protein-protein interactions. These tools are widely used in drug discovery and structural biology. His work emphasizes software engineering principles to create adaptable computational pipelines for analyzing macromolecular structures and simulating interactions. Publications span topics like peptide-docking methodologies, ligand-binding site prediction, and GPU-accelerated docking algorithms. His articles highlight advancements in computational methods for understanding protein-ligand interactions, with applications in anticoagulant research and HIV/FIV protease inhibition. Collaborations include work with Arthur J. Olson and David S. Goodsell on docking methodologies.

Stephan Packardمشاهده پروفایل

استاد

• Media Control
• Censorship
• Surveillance
• +۱۱ مورد دیگر

Stephan Packard is a Professor for Cultures and Theories of Popularity at the Institute for Media Culture and Theatre at the University of Cologne, where he has held a full professorship since 2017. Previously, he served as Junior Professor for Media Cultural Studies at Albert Ludwig University of Freiburg (2010-2017) and was repeatedly an acting professor for Cultures and Theories of Popularity at the University of Cologne (2015-2017). His research focuses on media control (including censorship, surveillance, and propaganda), popular visual cultures with particular emphasis on comics research, and the complex relationships between factuality, fictionality, and virtuality. As a media semiotician and discourse analyst, Packard examines how meaning is constructed across different media forms and how power operates through media systems. Packard's scholarly output shows a clear trend toward examining the intersections of comics studies with broader media theory, political philosophy, and critical social analysis. His recent publications increasingly address digital sovereignty, algorithmic control, and the transformation of media landscapes in the digital age, while maintaining his foundational work in comics theory and media semiotics. His research connects historical analysis of media forms with contemporary concerns about digital media power structures. Heinz Maier-Leibnitz Prize of the German Research Foundation (2015) Packard leads several significant research projects including the OER-Verbundprojekt 'Comicforschung.nrw,' 'The Adventure as a Popular Nomad: Transformations of Adventure Narratives in Comics,' and the 'Glossary of Digital Sovereignty.' He is actively involved in multiple academic networks including the Global South Studies Center (since 2025), the Key Profile Area Skills and Structures in Language and Cognition (since 2024), and was the first chairman of the Society for Comics Research (ComFor) from 2013-2019. His work bridges theoretical media studies with practical concerns about digital citizenship and media literacy in contemporary society.

Andreas Kugiمشاهده پروفایل

استاد

• Control Theory
• Automatic Control
• Complex Dynamical Systems
• +۶ مورد دیگر

Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.