Find Academic Supervisors

• Synthetic Biology
• Artificial Cells
• Membrane Engineering
• +10 more

Dr. Cherng-Wen Darren Tan is a faculty member at the Institute of Synthetic Bioarchitectures, Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences, Vienna (BOKU). His research focuses on engineering artificial cellular systems for biomedical applications, particularly in disease treatment and drug delivery. He has been actively involved in advancing synthetic biology through the development of artificial cells, cytoplasts, and decoy systems targeting diseases such as HIV/AIDS. PhD, National University of Singapore (2009) BSc (Hons), Cell and Molecular Biology, National University of Singapore (1999) His research interests include synthetic biology, artificial cells, membrane engineering, polymersomes, targeted drug delivery, and microfluidics . He applies these to model and treat human diseases by creating biomimetic systems that replicate cellular functions. His work bridges fundamental science with translational engineering, aiming to solve real-world medical challenges. The 15 most recent publications highlight a strong trend in bottom-up synthetic biology , with emphasis on constructing functional cellular mimics using polymersomes and cell-derived vesicles. Key themes include membrane protein integration, in vitro protein synthesis, and microfluidic analysis of cell behavior. His work spans disciplines such as biophysics, nanotechnology, and biomedical engineering. President Graduate Fellowship, National University of Singapore (2005) Dr. Tan has supervised numerous master’s theses and contributed to research projects funded by the Austrian Science Fund (FWF). He has also served as a guest editor for Micromachines and performed peer review for funding agencies like the European Research Council. His lab focuses on creating functional synthetic bioarchitectures that emulate natural cell systems for therapeutic and diagnostic applications.

• Virtual Reality in Rehabilitation
• Biomechanics
• Motion Analysis
• +3 more

Mark Simonlehner is a Junior Researcher at the Institute of Health Sciences, Department of Health Sciences at Steyr University of Applied Sciences. His work focuses on applying virtual reality (VR) and advanced motion capture technologies to study human movement biomechanics and rehabilitation engineering. He holds an MSc in Biomedical Engineering and has contributed to projects such as VReeze, ULTRASKEL3D, and ReMoCap-Lab, exploring applications of VR in healthcare and motion analysis. Education: Master's in Health and Rehabilitation Technology (2017–Present), Bachelor's in Biomedical Engineering (2013–2017). Prior to academia, he worked as a carpenter and attended the Holztechnikum Kuchl (2004–2009). Research interests include gait analysis, wearable sensor technologies, and improving clinical assessment methods through VR. His publications emphasize the effects of VR on dynamic balance, motion variability, and joint alignment in rehabilitation contexts. Key collaborations involve studies on exergame development for physical activity promotion and biomechanical validation of VR systems against traditional force plate measurements. His work bridges clinical needs with innovative engineering solutions in health sciences.

• Bioprocess technology
• Industrial biotechnology
• Medical biotechnology
• +5 more

Peter Satzer is a Senior Lecturer (Privatdozent) at the Institute of Bioprocess Science and Engineering, Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences, Vienna (BOKU). He currently serves as Group Lead for Bioprocessing of Advanced Medicines and is the CO-Founder of p4b GmbH, a company focused on 3D printing for biotechnology. Dr. Satzer completed his PhD in Biomolecular Technology of Proteins (BioToP) from 2011 to 2015, followed by postdoctoral research in Next Biopharmaceutical Downstream Processes from 2016 to 2019. His academic journey began with a Master's program in Biotechnology from 2008 to 2011. Dr. Satzer's research focuses on bioprocess technology , with particular expertise in industrial biotechnology , medical biotechnology , fermentation , circular economy , sustainable technologies , waste prevention , and energy saving . His work bridges the gap between fundamental bioprocess engineering and practical industrial applications, with a strong emphasis on sustainability and process intensification. He is particularly known for his contributions to continuous bioprocessing, viral vector production, and innovative applications of 3D printing in biotechnology. An analysis of Dr. Satzer's recent publications reveals a strong focus on advancing biomanufacturing technologies. His work spans multiple areas including continuous downstream processing, viral vector production systems, 3D printing applications for bioprocessing equipment, and sustainable manufacturing practices. A notable trend is his increasing focus on integrating digital tools and sustainable practices into bioprocess design, with significant contributions to open-source platforms for techno-economic analysis and resource-efficient manufacturing approaches. Dr. Satzer has received the following scientific awards: aws preseed company funding price (2023) Merck Life Science Award in Bioseparations (2015) Dr. Satzer has supervised seven theses, including doctoral and master's level research, focusing on areas such as virus-like particle vaccines, continuous bioprocessing, and advanced monitoring techniques. He is currently involved in two significant research projects: "Sustainable chromatography by design and rational sustainable buffer selection" (2024-2025) and the "Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors" (2023-2029), where he contributes his expertise in bioprocess engineering for advanced therapeutic manufacturing. As Group Lead for Bioprocessing of Advanced Medicines, Dr. Satzer oversees research activities focused on next-generation biopharmaceutical manufacturing, particularly for advanced therapies including viral vectors and virus-like particles. His team works at the intersection of traditional bioprocessing and emerging technologies, with a strong emphasis on sustainability and process innovation.

Christian SlugovcView profile

Associate Professor

• Organocatalysis
• Olefin Metathesis
• Porous Polymers
• +5 more

Christian Slugovc is an Associate Professor at Graz University of Technology, Faculty of Technical Chemistry, where he leads the Slugovc Group within the Institute of Chemical Technology of Materials (ICTM). He serves as Director of the Christian Doppler Laboratory for Organocatalysis in Polymerization and is an Associate Editor of Monatshefte für Chemie (Springer Verlag). His research has established him as a leading figure in polymer chemistry and materials science, with particular expertise in catalytic polymerization processes. Slugovc's research interests center on advancing catalytic polymerization reactions through the development of more efficient catalytic processes and comprehensive mechanistic understanding at the molecular level. His group focuses on four main interconnected research areas: Olefin Metathesis (including catalyst development and polymerization mechanisms), Organocatalysis (particularly for sustainable polymer synthesis), Porous Polymers (including emulsion-templated materials and metal-organic frameworks), and Click Chemistry (especially inverse electron-demand Diels-Alder reactions). His work bridges fundamental mechanistic studies with practical applications in sustainable materials, energy storage, and sensor technologies. Analysis of his recent publications reveals a strong trend toward interdisciplinary materials research combining polymer chemistry with advanced characterization techniques. His group has increasingly focused on metal-organic frameworks (MOFs) and their applications in sensing, while maintaining core expertise in catalytic polymerization. Recent work demonstrates sophisticated integration of computational methods with experimental approaches, particularly in mechanical property characterization of porous materials. The research shows a clear commitment to sustainable chemistry principles, with growing emphasis on bio-based feedstocks and water-based synthesis methods. 3rd place in Houska prize competition 2010 for research on biocidal polymers Best Review Article Award 2023 of Monatshefte für Chemie for paper on oxa-Michael polymerization Förderpreis für Chemie for dissertation on 'Oxa-Michael Chemistry: Synthesis, Use and Reprocessability of Polyethers' Professor Slugovc has secured significant research funding through multiple European Union projects (including EC-FP6 Dentalopt, EC-FP7-SME-BIOSURF, EC-FP7-EUMET) and Austrian national programs (FFG projects LIGPOLY, LIGNOPOLY, KONZID). He has supervised numerous doctoral students and postdoctoral researchers through his leadership of the Christian Doppler Laboratory and participation in collaborative projects. His research group actively engages with industry partners to translate fundamental discoveries into practical applications. The Slugovc Group operates within the Institute of Chemical Technology of Materials at TU Graz, with laboratory facilities supporting synthetic polymer chemistry, materials characterization, and application testing. The group participates in the Porous Materials@Work for Sustainability initiative and collaborates extensively with other research groups at TU Graz and internationally, particularly in the areas of MOF research and advanced polymer synthesis.

• Material Science
• Environmental Engineering
• Metallurgy
• +3 more

Klaus Doschek-Held is a Professor affiliated with the Chair of Thermal Processing Technology , focusing on metallurgical processes and waste valorisation. His research spans lithium-ion battery recycling, slag upcycling, and sustainable construction materials. Key collaborations include institutions like University of Leuven , Chair of Waste Processing Technology , and Christian-Doppler Laboratories . Research activities emphasize circular economy principles, with publications in Journal of Environmental Chemical Engineering , Results in Materials , and symposium proceedings. His work bridges pyrometallurgy, biohydrometallurgy, and AI-driven waste management. Recent projects include GECCO 2, a research lab for eco-friendly residual building materials, and investigations into phosphide formation in industrial slags. He actively presents at conferences like the Slag Valorisation Symposium .

Simon KranzerView profile

Senior Lecturer

• Knowledge Transfer
• Cognitive Manufacturing
• Digital Twins
• +7 more

Simon Kranzer is a Senior Lecturer and Head of Research Group at the Department of Information Technologies and Digitalisation, FH Salzburg. His work bridges academic research and practical application in digital transformation. Location: Campus Urstein, Room 425 Contact: simon.kranzer@fh-salzburg.ac.at | +43-50-2211-1316 Research Focus: Digital Twins for industrial systems Collaborative Robotics (Co-Bots) in retail Knowledge Transfer between academia and industry Operational Technology (OT) Security Data Acquisition and Visualization Programming Language Applications in industrial contexts Research Trends: Recent publications show expertise in retail automation (service robots, customer behavior analysis), industrial digital twins, and OT security. Earlier work spans GIS-SCADA integration, medical software implementation, and 3D microstructure analysis. Collaborative Projects: Active in interdisciplinary living labs, smart factory bootcamps, and 5G-based robotics exploration.

• Assembly Tasks
• Smart Factory Systems
• Cloud Computing
• +2 more

Johann Heinzelreiter serves as an FH-Prof. DI at the University of Applied Sciences Hagenberg, actively contributing to the Assistive Technology Lab and Center of Excellence for Smart Production . His research spans industrial automation, smart factory systems, and cloud computing applications in production environments. His research interests focus on assembly task modeling , low-cost tracking systems for industrial environments, and human-centered workplace design . Heinzelreiter develops practical solutions for real-world manufacturing challenges, particularly in optimizing human-machine collaboration on shop floors through the General Assembly Task Model (GATM) framework. Publication analysis reveals consistent contributions to industrial informatics, with recent work emphasizing smart factory implementation (2019-2020), cloud-based optimization (2014), and digital identity management (2015). His research demonstrates strong industry relevance through COIN Cooperation & Innovation projects. With an h-index of 34, Heinzelreiter has secured significant research funding through multiple COIN projects: Human Centered Workplace (2016-2021) - Co-Investigator Themis - Conserve Your Digital Life (2013-2015) - Principal Investigator BackmeUp - Offline Datensicherung Web 2.0 (2010-2012) - Principal Investigator He collaborates extensively with researchers including Pimminger, Kurschl, and Augstein across production environments and assistive technology domains. His work bridges academic research with practical industrial applications through the Smart Automation and Robotics initiative.

Theresa MadreiterView profile

Lecturer

• Knowledge-based maintenance
• Predictive and prescriptive maintenance
• Knowledge discovery from text
• +5 more

Theresa Madreiter is a Lecturer & Doctoral Student at the Institute of Management Sciences within the Faculty of Mechanical Engineering and Industrial Management at Vienna University of Technology (Technische Universität Wien). Her research focuses on Production and Maintenance Management, where she combines engineering expertise with data science approaches to advance industrial maintenance practices. Her educational background includes: Dipl.-Ing. in Industrial Engineering and Mechanical Engineering from the Faculty of Mechanical Engineering and Industrial Management, Vienna University of Technology BSc. in Industrial Engineering and Mechanical Engineering from the Faculty of Mechanical Engineering and Industrial Management, Vienna University of Technology Madreiter's research interests center on knowledge-intensive approaches to industrial maintenance. She explores how knowledge-based maintenance , predictive and prescriptive maintenance systems , and knowledge discovery from text can transform traditional maintenance practices. Her work leverages semantic technology and Natural Language Processing to extract valuable insights from maintenance documentation, and applies predictive data analysis and machine learning techniques to anticipate equipment failures before they occur. This interdisciplinary approach bridges the gap between industrial engineering and data science, positioning her at the forefront of Maintenance 4.0 research. Her publications demonstrate a strong focus on applying text mining and AI techniques to industrial maintenance challenges. The trend in her work shows increasing sophistication in combining multiple data sources (both structured sensor data and unstructured text documentation) to create comprehensive maintenance solutions. Her research spans both theoretical development of algorithms and practical implementation in manufacturing environments, with a particular emphasis on discrete manufacturing systems. Madreiter's scientific achievements have been recognized with several prestigious awards: Schnieder Prize YOUNG MAKER 2021 from acatech Industrial Management - Thesis Award 2020 from Austrian Association for the Promotion of Business Research and Education Best Paper Award for "Combining process monitoring with text mining for anomaly detection in discrete manufacturing" at the Conference on Learning Factories 2022 As a doctoral student and lecturer, Madreiter is actively involved in academic mentoring and education. Her master's thesis on "Design and Development of a Prototype of a Text Understanding Tool for Maintenance 4.0" has served as the foundation for her current doctoral research and multiple research projects including TU-MARS, True_Usage, DigiMain 4.0, and DigiTS-ME. Beyond her formal academic role, she demonstrates significant commitment to social causes through her work with the Computerclubhouse Vienna (CCV), where she leads technology workshops for children from disadvantaged backgrounds. Madreiter is part of research teams working on the intersection of industrial engineering and data science, particularly focused on how AI and text analytics can transform maintenance practices in manufacturing. Her work connects closely with Industry 4.0 initiatives and represents an important bridge between traditional engineering disciplines and emerging data-driven approaches.

• Bioelectronics
• Biocompatible Conductive Polymers
• Natural Biopolymers
• +3 more

Serpil Tekoglu is a Researcher at the Institute of Physical Chemistry, Johannes Kepler University Linz (JKU), specializing in sustainable bioelectronic materials. Her work bridges chemistry, materials science, and medical technology through development of biodegradable conductive polymers and natural biopolymer-based devices. Her research focuses on natural biopolymers for bioelectronics , particularly algal polysaccharides (sacran), DNA-based conductors, and ε-poly-L-lysine copolymers. Key interests include achieving long-term biocompatibility in implantable devices, ultrathin flexible electronics for medical applications, and eco-friendly manufacturing processes. She investigates material degradation pathways, stability mechanisms, and sustainable alternatives to conventional electronics. Analysis of her 2025 publications reveals a cohesive trajectory toward medical-grade biodegradable electronics . Her work consistently integrates natural polymers with conductive elements to solve core challenges in bioelectronic interfaces - particularly stability in physiological environments and environmental sustainability. This spans from fundamental material synthesis (e.g., enzyme entrapment techniques) to functional device fabrication (OECTs, solar cells), with strong emphasis on real-world medical applications like biodegradable rapid tests. Dr. Tekoglu leads the federally funded project BIOCOM - Biocompatible conductive polymers for medical applications (2023-2025) and actively mentors junior researchers. Her 20+ conference activities since 2024 include 6 invited talks at institutions like Universität Ferrara, demonstrating international recognition of her work on sustainable bioelectronics. She operates within JKU's multidisciplinary bioelectronics team, collaborating with physicists, chemists, and medical researchers. Current efforts focus on translating lab innovations to clinical applications, particularly biodegradable diagnostic devices highlighted in Austrian media coverage (May 2025) regarding "the future of rapid tests".

• Computer Vision
• Sensor-based Activity Analysis
• Imaging
• +3 more

Md Atiqur Rahman Ahad is a Professor at the University of Dhaka (DU) and a Specially Appointed Associate Professor at Osaka University. His academic career spans multiple institutions across Bangladesh, Australia, and Japan. His educational background includes: B.Sc.(Honors) and Masters from University of Dhaka Masters from University of New South Wales PhD from Kyushu Institute of Technology Professor Ahad is a recognized expert in computer vision and activity analysis. His research focuses on: Computer Vision and Image Processing Sensor-based Activity Analysis Human-Media Interaction Gesture and Activity Recognition Imaging Technologies His recent publication trends show a strong emphasis on activity recognition using various sensor modalities and computer vision techniques. He has published extensively on packaging activity recognition, gait analysis, and hand gesture recognition, demonstrating expertise in both theoretical foundations and practical applications of vision-based activity understanding. Professor Ahad serves in editorial roles for academic journals: Associate Editor for Human-Media Interaction, Frontiers in Computer Science Guest Associate Editor for Big Data Networks, Frontiers in Big Data

Alexander BucheltView profile

Researcher

• Artificial Intelligence
• Data Science
• Natural Language Processing
• +3 more

Alexander Buchelt serves as a Researcher in the Department of Computer Science and Security at University of Applied Sciences St. Pölten, contributing to the Data Science and Artificial Intelligence (BA) program. His industry background includes data analytics roles at Hutchison Drei Austria (2014-2018) and MindTake Research GmbH (2019-2020), followed by academic experience as a Student Assistant at FH St. Pölten (2020-2022). His research spans artificial intelligence with emphasis on natural language processing for German content moderation, fractal-based neural network architectures, and AI policy frameworks. Current work demonstrates strong focus on real-world implementation including drone applications in forest ecology, multilingual social media analysis, and regulatory compliance for emerging AI systems. Technical approaches integrate machine learning with domain-specific challenges across environmental science, media analysis, and telecommunications. Publication trends since 2022 reveal increasing emphasis on ethical AI deployment and practical system robustness, with 2024-2025 works addressing content moderation safeguards, neural network innovation, and environmental monitoring solutions. His research consistently bridges theoretical AI development with tangible societal applications, particularly in European regulatory contexts and German-language environments. As part of the Department of Computer Science and Security, Buchelt contributes to Austria's applied research ecosystem focused on practical technology solutions. His work aligns with the university's mission in developing industry-relevant AI applications while addressing emerging challenges in security, ethics, and cross-domain implementation.