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Julia KamenzView profile

Assistant Professor

• Cell cycle regulation
• Cell division
• Biochemistry
• +7 more

Dr. Julia Kamenz is an Assistant Professor (Rosalind Franklin fellow) at the University of Groningen's Faculty of Science and Engineering, where she leads research in the Molecular Systems Biology group within the Groningen Biomolecular Sciences and Biotechnology Institute (GBB). Her work focuses on understanding the molecular mechanisms that regulate cell cycle progression and cell division. Dr. Kamenz received her undergraduate training in Biochemistry at the University of Tuebingen, completed her PhD at the Friedrich Miescher Laboratory of the Max Planck Society under Dr. Silke Hauf (defended February 2015 with highest honors), and conducted postdoctoral research at Stanford University with Prof. James E. Ferrell. Her PhD work was supported by a Boehringer Ingelheim Fonds fellowship, and her postdoc was funded by a German Research Foundation (DFG) Postdoctoral Fellowship. Her research expertise spans cell cycle regulation and dynamics, post-translational modifications, Xenopus laevis model systems, and live cell microscopy. Dr. Kamenz investigates how kinases and phosphatases intricately regulate cell proliferation and division, with particular interest in the molecular mechanisms that ensure faithful chromosome segregation during mitosis. Her recent work has revealed novel insights into mitotic checkpoint signaling, particularly in early embryonic development where these checkpoints appear to function differently than in somatic cells. Dr. Kamenz's publication record demonstrates a strong focus on the dynamics of cell cycle transitions, with recent papers appearing in high-impact journals including Nature, The Journal of Biological Chemistry, and The Journal of Cell Biology. Her research integrates experimental biochemistry, live-cell imaging, and computational modeling approaches to understand complex regulatory networks. ERC Starting Grant (November 2022) NWO Vidi Grant (July 2021) Mansour Postdoctoral Travel Award (2019) Dr. Kamenz has secured significant research funding including an ERC Starting Grant (€1.5 million) and an NWO XS grant (€50,000) for her project "What limits mitotic checkpoint signaling in the early embryo?" Her research contributes to understanding fundamental biological processes with implications for developmental biology and cancer research. She collaborates extensively within the University of Groningen and with international partners, particularly in the areas of cell cycle research and biophysical approaches to biological problems. Dr. Kamenz leads a research group focused on cell cycle regulation within the Molecular Systems Biology division of the Groningen Biomolecular Sciences and Biotechnology Institute. Her lab combines biochemical approaches using Xenopus egg extracts with live-cell imaging and computational modeling to dissect the molecular mechanisms controlling cell division.

• Plant Developmental Biology
• Epigenetics
• Plant Genetics
• +5 more

Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement

Ngoc Thanh NguyenView profile

Professor

• Computational Collective Intelligence
• Knowledge Integration
• Data Mining
• +6 more

Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.

Fangbao TianView profile

Associate Professor

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Biomechanics
• +5 more

Associate Professor Fangbao Tian is a distinguished researcher and academic at UNSW Canberra's School of Engineering and Technology, where he also serves as Deputy Head of School for Research since July 2023. Previously, he held positions as Senior Lecturer (2017-2021) and Lecturer (2014-2017) at the same institution after completing postdoctoral research at Vanderbilt University. His academic journey began with a BSc (2006) and PhD (2011) in Theoretical and Applied Mechanics and Engineering Mechanics from the University of Science and Technology of China. Dr. Tian's research focuses on Computational Fluid Dynamics (CFD) tools for complex flows and fluid-structure interaction, with particular emphasis on bio-inspired applications. His work spans modeling laryngeal aerodynamics and vocal-fold vibration, fluid-structure interaction of plates in viscous fluid, fish swimming and insect flight, blood flow dynamics, and non-Newtonian flow phenomena. Recent work has expanded into Martian atmosphere aerodynamics, showing his research's growing interdisciplinary nature. His extensive publication record demonstrates consistent contributions across fluid dynamics, with recent trends showing increasing focus on compressible flows, bio-inspired flight systems, heat transfer applications, and computational methods like Lattice Boltzmann approaches. The research shows strong connections between fundamental fluid mechanics and practical applications in aerospace, biomedical engineering, and environmental systems. UNSW Canberra Goldstar Award 2022 IEEE Outstanding SMCS Chapter Award 2021 Outstanding Volunteer Award 2021 UNSW Canberra Silverstar Award 2018 UNSW Canberra Silverstar Award 2017 Journal of Fluids and Structures Highly Cited Research 2017 ARC DECRA 2016 Dr. Tian actively supervises PhD students across diverse topics including bushfire-enhanced wind loads, bio-inspired flight on Mars, flow control optimization, and fluid-structure interactions in compressible flows. He has secured over $5 million in external funding as Chief Investigator, including significant Australian Research Council projects examining Martian atmosphere aerodynamics, bio-inspired flapping wings, and cardiovascular flow modeling. His editorial roles include Associate Editor for Journal of Fluids and Structures and Scientific Reports, reflecting his standing in the fluid dynamics research community.

Huadong MoView profile

Senior Lecturer

• Power and energy systems
• Cyber-physical systems
• Manufacturing systems
• +6 more

Dr. Huadong Mo is a Senior Lecturer at the School of Systems and Computing, University of New South Wales (UNSW) Canberra, Australia. He holds a B.E. degree in automation from the University of Science and Technology of China (2012) and a Ph.D. in systems engineering and engineering management from the City University of Hong Kong (2016). Prior to his current position, he was a research associate at ETH Zurich's Reliability and Risk Engineering Lab (2016-2019) and a Lecturer at UNSW Canberra (2019-2021). Dr. Mo's educational background includes a strong foundation in systems engineering with international experience across China, Switzerland, and Australia. His career trajectory demonstrates a progression from academic research to faculty positions with increasing responsibilities in teaching and research leadership. His research focuses on enhancing the resilience, performance, and security of complex systems using learning-based algorithms, primarily in power and energy systems, cyber-physical systems, and manufacturing systems. He applies data analytics to understand system evolution under uncertainties, with particular emphasis on prognostics and health management, sustainable transportation, robust operation of power systems under extreme events, and reinforcement learning-based asset management. His work bridges theoretical advances with practical applications in critical infrastructure. Analysis of Dr. Mo's recent publications reveals a strong focus on energy systems, particularly in the integration of machine learning with power grid management, battery storage systems, and resilience against cyber threats. His research shows a clear trajectory toward increasingly complex system integration, with growing emphasis on multi-vector energy communities, cross-domain prediction, and uncertainty-aware energy management. The interdisciplinary nature of his work spans electrical engineering, computer science, and operations research. 2024 IEEE SMC Early Career Award 2023 Visiting Research Fellowship (Jean d'Alembert Pour Fellowship) Gold Medal in 2024 China International College Student Innovation Competition (as supervisor) Arc PGC Supervisor Award (2021) IEEE SMC Outstanding Chapter Award (2021) Alumni Achievement Award from City University of Hong Kong (2019) Dr. Mo actively supervises numerous HDR students working on cutting-edge research topics including battery health monitoring, quantum control, reinforcement learning for power systems, and explainable AI for energy management. He leads multiple significant research grants totaling over 3 million AUD, including projects funded by ARC, Energy Innovation Fund, and international collaborations with institutions like ETH Zurich, Cambridge, and Tsinghua University. His research group maintains strong international connections, facilitating student exchanges and collaborative research. As Postgraduate Course Coordinator of Systems Engineering and Chair of IEEE SMC ACT Chapter, Dr. Mo plays a significant role in academic leadership and professional community building. His research team collaborates with industry partners on practical implementations of their theoretical work, particularly in the energy sector.

Chase BroederszView profile

Professor

• Statistical Physics
• Biological Physics
• Soft Matter Physics
• +4 more

Prof. Dr. Chase Broedersz is a tenured W2 Professor of Theoretical Physics – Statistical and Biological Physics at Ludwig-Maximilians-Universität München (LMU Munich) since 2015. He also holds a secondary affiliation as Associate Professor at VU Amsterdam since 2020. He is a member of the Young College of the Bavarian Academy of Science since 2017. Education Ph.D. in Theoretical Physics , VU Amsterdam (2011) MSc. in Physics , VU Amsterdam (2007) BSc. in Physics and Astronomy , VU Amsterdam (2005) Research Interests Prof. Broedersz leads a research program at the intersection of statistical physics and biological physics , with a focus on: Soft Matter Physics : mechanics of biopolymer networks, semiflexible filaments, and composite materials Active Matter : non-equilibrium dynamics in living systems, motor-driven networks, and active gels Cell Mechanics : confined cell migration, mechanosensing, and force transmission in tissues Chromosome Organization : bacterial chromosome structure, protein-DNA interactions, and SMC condensins His work combines theoretical modeling , computational simulations , and experimental collaborations to uncover the physical principles governing complex biological systems. Publication Trends Prof. Broedersz has authored over 50 peer-reviewed publications since 2010. His recent work (2019–2025) emphasizes: Cell migration in confined and soft environments, with studies in Nature Physics and PNAS Non-equilibrium dynamics in active biological systems, including broken detailed balance and emergent contractility Machine learning approaches to infer stochastic dynamics in biological data, published in Nature Communications and Physical Review Letters Chromosomal organization in bacteria, combining polymer physics with genomic data Labs and Teams He leads the Statistical and Biological Physics Group at LMU Munich, affiliated with the Arnold Sommerfeld Center for Theoretical Physics (ASC) . The group collaborates closely with experimental teams at LMU, Princeton, and other institutions, focusing on interdisciplinary biophysics research. Teaching Prof. Broedersz has taught advanced courses including: Advanced Statistical Physics Soft Matter Physics Stochastic Processes in Physics and Biology

Lena StrömView profile

Senior Lecturer

• Cell and Molecular Biology
• Molecular Biology
• Genetics
• +7 more

Lena Ström, Senior Lecturer at the Department of Cell and Molecular Biology, Karolinska Institutet, specializes in sister chromatid cohesion, DNA damage responses, and genome integrity. Her research explores the role of Structural Maintenance of Chromosome (SMC) complexes in DNA repair, chromosome segregation, and developmental syndromes like Cohesinopathies. 2017: Senior Lecturer at Karolinska Institutet 2015: Docent at Karolinska Institutet 2002: PhD in Cell and Molecular Biology from Karolinska Institutet Her work focuses on the Cohesin complex's dual role in sister chromatid cohesion and DNA repair, particularly in cancer and Cohesinopathies. By studying yeast and human cells, her group investigates how DNA damage activates cohesion, impacts telomere maintenance, and contributes to tumor development and developmental disorders. Recent publications highlight Cohesin's role in damage-induced cohesion, DNA repair regulation, and SMC complex dynamics. Key collaborations span genetics, immunology, and medical research, with applications in cancer treatment and patient support for Cornelia de Lange syndrome. Current projects aim to elucidate Cohesin network mechanisms in chromatin structure, transcriptional regulation, and cancer therapy targets. Her group integrates advanced biochemistry, genomics, and functional studies to address molecular pathways in healthy and malignant cell cycles.

Roberto BresinView profile

Professor

• Expressive Music Performance
• Emotion in Sound and Music
• Sound in Human-Robot Interaction
• +3 more

Roberto Bresin is a Professor of Media Technology at KTH Royal Institute of Technology's Division of Media Technology and Interaction Design (MID), part of the School of Electrical Engineering and Computer Science (EECS). He leads the Sound and Music Computing group and serves as Director of Studies for the Media Technology program and Director of NAVET, a center for art, technology, and design research. His work bridges music, robotics, and human interaction. Research focuses include expressive music performance, emotion in sound, robot sound design, and sonification. He holds a PhD in Music Acoustics from KTH (2000) and has extensive experience in sound engineering and interactive systems. Key projects involve designing auditory feedback for robots and exploring light's psychological impacts. His publications span robotics, sonification, and human-centered technology. Recent articles address robot sound aesthetics, daylight effects on behavior, and sonification of computer processes. Bresin collaborates internationally, contributing to EU initiatives like SAME and Nordic SMC networks. His work emphasizes cross-disciplinary innovation, with applications in education, healthcare, and environmental science.

Mara NikolaidouView profile

Professor

• Distributed Systems
• System Modeling
• Digital Libraries
• +9 more

Mara Nikolaidou is a Professor in the Department of Informatics and Telematics at Harokopio University of Athens since 2007 and has served as the university's Rector since 2016. She represents Greek universities in the European University Association (EUA) for 2023-2024. Her research focuses on distributed systems, system modeling, and responsible computing, with a strong emphasis on IoT, cloud/edge computing, and cyber-physical systems. She leads projects funded by national, EU, and international agencies, exploring topics like autonomous systems, ethical requirements in design, and human-in-the-loop systems. Her educational background includes roles as a computer engineer and IT consultant before academia. She is a member of IEEE (SMC Society and Systems Council) and participates in the Object Management Group (OMG) working groups for SysML and responsible computing. She organizes international conferences in software and systems engineering. Research interests span distributed systems, IoT, and ethical computing. Recent work investigates cost analysis in cloud markets, human-AI collaboration, and smart city technologies. Over 200 publications highlight her contributions to model-based systems engineering, including SysML extensions for cost/QoS analysis and frameworks for autonomous fog nodes. Grants and projects include EU-funded initiatives on smart farming, cloud brokerage, and organizational interoperability. Her lab focuses on autonomous systems and context-aware middleware. She advises on e-Government compliance frameworks and collaborates with industry partners on IoT management platforms.

Silvia BulgheresiView profile

Associate Professor

• Symbiosis
• Microbial Ecology
• Bacterial Cell Biology
• +7 more

Silvia Bulgheresi is an Associate Professor at the University of Vienna , leading the Environmental Cell Biology Group within the Department of Functional and Evolutionary Ecology. Her research focuses on the cell biology and physiology of animal-attached bacteria , particularly marine nematode-bacterium symbioses and oral cavity symbionts, with an emphasis on host immune responses and bacterial division mechanisms. Fields of Interest: Symbiosis, Microbial Ecology, Bacterial Cell Biology, Host-Microbe Interactions, Chemosynthetic Symbionts, Chromosome Biology Scientific Contributions: Her recent publications highlight innovations in bacterial division patterns, chromosome stability, and environmental adaptation. Current projects explore the role of the SMC complex in symbiont chromosome folding and the Genome Instability PhD program. She has supervised numerous PhD and Master students, including Niels Heindl and Nikolaus Leisch. Key Awards: EMBO Member (2014) European Molecular Biology Organization (EMBO) Member (2024) Labs & Collaborations: As part of the Archaea Biology and Ecogenomics Unit, her work intersects with research groups such as the Schleper Lab and Rittmann Lab, addressing microbial nitrogen cycling, marine symbioses, and bacterial genome plasticity.

Eugene KimView profile

Research Professor

• Chromosome Structure
• DNA Organization
• Single-Molecule Microscopy
• +1 more

Dr. Eugene Kim is a Research Professor and group leader at the Max Planck Institute of Biophysics, where she investigates the structural organization and dynamics of chromosomes. Her research focuses on DNA packaging mechanisms in cell nuclei using high-resolution microscopy, with implications for understanding developmental disorders and cancer. She holds a PhD from Friedrich Alexander University and was a postdoctoral fellow at the Kavli Institute of Nanoscience. Kim's work explores how proteins organize DNA throughout the cell cycle, particularly through loop extrusion by SMC complexes. Her recent publications reveal patterns in chromosome condensation mechanics and DNA topology. She has received prestigious awards including an ERC Starting Grant (2022) and Marie Skłodovska-Curie Fellowship. Kim leads the 'Structure and Dynamics of Chromosomes' group and secured €1.5 million in ERC funding to support her research on genomic architecture.

Dana BranzeiView profile

Professor

• DNA Repair
• Genome Stability
• Replication Stress
• +3 more

Dana Branzei is a Professor and head of the Department of Biological and Genomic Treatment Approaches at the Research Center One Health within the Faculty of Biology at the University of Duisburg-Essen. She leads a research group investigating DNA repair mechanisms and genome stability. Her work focuses on how cells repair DNA damage, tolerate replication stress, and maintain chromosome integrity through processes integrated with DNA replication machinery (replisome). Her research interests center on molecular mechanisms of DNA damage tolerance, replication fork dynamics, chromosome cohesion, and the role of protein complexes like SMC5/6 in maintaining genome stability. Key areas include error-free DNA repair pathways, SUMOylation in DNA transactions, and the molecular basis of cancer predisposition linked to replication defects. Recent publications (2020-2023) demonstrate strong focus on replication fork protection mechanisms, chromatin remodeling during repair, helicase functions in recombination, and structural analyses of repair complexes. Research consistently bridges fundamental chromosome biology with clinical applications in cancer and neurodegenerative diseases. Scientific Awards: Alexander von Humboldt Professorship (2025) EMBO Membership (2016) FIS grant by Italian Ministry of University and Research (2023) She leads an active research team including postdoctoral fellows, PhD candidates, and master's students. Current lab members focus on replication stress responses, chromatin dynamics, and repair pathway coordination. The laboratory collaborates extensively within the University Alliance Ruhr network.

Jurgita AntuchevicieneView profile

Professor

• Multiple-criteria decision-making
• Civil Engineering
• Sustainable Development
• +3 more

Prof. Jurgita Antucheviciene is a Professor at the Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Lithuania, holding this position since September 2001. Education: PhD in Civil Engineering (2005) Research Interests: Her primary expertise lies in multiple-criteria decision-making (MCDM) theory and applications, with significant contributions to civil engineering, sustainable development, and construction management. Her interdisciplinary work bridges artificial intelligence, optimization theory, and data science, evidenced by her recognition among the World's Top 2% Scientists in Artificial Intelligence. She actively explores applications in sustainable infrastructure and decision support systems. Scientific Awards: World's Top 2% Scientists in Artificial Intelligence Editorial and Professional Leadership: Serves as Deputy Editor in Chief of the "Journal of Civil Engineering and Management", Associate Editor of "Applied Soft Computing", and Editorial Board Member for "Sustainability" and "Buildings". She has guest-edited special issues in "Mathematical Problems in Engineering", "Complexity", "Symmetry", and other high-impact journals. Active in IEEE SMC (Grey Systems Technical Committee) and EURO Working Groups on Multicriteria Decision Aiding (EWG-MCDA) and Operations Research in Sustainable Development (EWG-ORSDCE). Advising and Grants: While specific student supervision details and grant information are not provided in the source material, her extensive publication record (150+ Web of Science papers, h-index 39) and editorial leadership indicate substantial research mentorship and project leadership activities.

• Autonomous Systems
• Bayesian Statistics
• Big Data
• +7 more

Professor Simon Maskell is a Professor of Autonomous Systems at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science and the Faculty of Science and Engineering. He holds degrees including MEng, MA, PhD, and is a Fellow of the Institution of Engineering and Technology (FIET) and Chartered Engineer (CEng). His research focuses on algorithmic solutions at the intersection of Computer Science, Engineering, and Statistics. Key areas include Bayesian statistics for decision-making under uncertainty, particle filters for high-dimensional parameter estimation, and applications in autonomous systems, big data analytics, and data fusion for sectors like defense, healthcare, and maritime surveillance. He leads the Liverpool Big Data Network and contributes to the Stone Soup open-source tracking framework. Maskell has secured grants from the Home Office, European Commission, and EPSRC, addressing challenges like combating cyber threats, improving drug interaction detection, and enhancing sensor technologies. His notable award includes an Honorary Research Fellow title from Imperial College (2010). In teaching, he oversees modules such as Instrumentation & Control and supervises research on topics like Bayesian methods in proteomics, traffic signal control, and antimicrobial resistance. He serves as an Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and IEEE Signal Processing Letters. Professional activities include editorial roles and administrative leadership in interdisciplinary initiatives, emphasizing ethical AI deployment and data-driven healthcare solutions.

• Bionanoscience
• Single-molecule biophysics
• DNA mechanics
• +7 more

Cees Dekker is a full Professor at the Department of Bionanoscience within the Faculty of Applied Sciences at Delft University of Technology (TU Delft). He leads the BN/Cees Dekker Lab, which focuses on cutting-edge research at the intersection of physics, biology, and nanotechnology. His work bridges fundamental biophysical principles with practical applications in biomedicine and synthetic biology. Professor Dekker's research interests center around single-molecule biophysics, particularly the mechanics and organization of DNA and chromosomes. His lab investigates nuclear pore complex function, develops nanopore-based sensing technologies, and explores synthetic cell construction. His work combines advanced experimental techniques including optical microscopy, microfluidics, and nanofabrication to study biomolecular systems at unprecedented resolution. His recent publications reveal a strong trend toward understanding DNA organization mechanisms, particularly through loop extrusion by SMC complexes, and developing novel nanopore technologies for protein sequencing and bacterial detection. His work spans fundamental biophysical questions to potential biomedical applications, especially in point-of-care diagnostics. Among his notable recognitions is the Professor of Excellence award (Leermeesterprijs) from TU Delft in 2018, recognizing his exceptional teaching and mentorship. He has served as editor for multiple prestigious journals including Nanotechnology, Bionanotechnology, and Nano Letters since 2004. Professor Dekker has supervised 45 students and has been involved in significant research projects including 'Towards point-of-care detection of biomarkers for neglected tropical diseases program' (2016-2021), which focused on developing diagnostic tools for resource-limited settings. His lab maintains active collaborations across multiple disciplines and institutions. The Cees Dekker Lab operates at the forefront of bionanoscience, combining expertise in physics, biology, and engineering to address fundamental questions about cellular processes while developing innovative technologies with real-world applications in healthcare and biotechnology.