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Charalampos PappasView profile

Research Fellow

• Systems Chemistry
• Peptide Self-Assembly
• Adaptive Materials
• +3 more

Dr. Charalampos Pappas is a Junior Research Group Leader at the Cluster of Excellence liv MatS and the Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT) at the University of Freiburg. His research focuses on systems chemistry and bioinspired materials, particularly exploring phosphates' roles in biological and non-biological contexts. Key projects include 'From Phase Separation to Living Materials' and 'SEAAM: Spontaneous Emergence of Adaptive and Active Materials.' Research Interests: Development of abiotic phosphate systems for self-assembly and adaptive materials Chemically fueled adaptivity in materials Peptide oligomerization and transient assemblies Dynamic combinatorial libraries for foldamer and replicator formation Publications highlight advancements in peptide self-assembly mechanisms, phase behavior dynamics, and supramolecular hydrogels. His work has been featured in Chem , Journal of the American Chemical Society , and Angewandte Chemie . Grants and Funding: His group is supported by the Hermann Staudinger Doctoral Fellowship Program and a Boehringer Ingelheim Foundation Exploration Grant. Current openings include postdoctoral and ERC-funded positions. Labs and Infrastructure: Active in the IDEASfactory@FIT and Master Lab program, focusing on innovative materials design and interdisciplinary collaboration.

Gaël SchaefferView profile

Researcher

• Chemistry, Multidisciplinary
• Supramolecular Chemistry
• Self-Replicating Molecules
• +3 more

Gaël Schaeffer is a Researcher and Scientific Coordinator at the Stratingh Institute for Chemistry within the Faculty of Science and Engineering at the University of Groningen. He holds additional roles as PhD Coordinator and Confidential Advisor at the Stratingh Institute, and chairs the Green Labs working group. His research focuses on self-replicating molecular systems, supramolecular chemistry, and dynamic combinatorial libraries, with emphasis on molecular evolution and chemical complexity. Recent work explores competitive exclusion in self-replicating systems and the emergence of specialized molecular networks. His contributions span peer-reviewed articles in high-impact journals like Nature Chemistry and Journal of the American Chemical Society . As a coordinator, he supports doctoral training and sustainability initiatives in academic labs. His projects often bridge synthetic chemistry with principles of systems biology and prebiotic chemistry. Research interests prominently feature self-replicating molecules, including their emergence, cross-catalytic interactions, and complexity under chemical fueling. He investigates systems that model early life-like behaviors, such as nucleobase-amino acid integration in self-replicators. Methodologically, his work combines dynamic combinatorial chemistry with spectroscopic and structural analysis to understand molecular assembly mechanisms. Publications highlight themes of molecular specialization vs. generalism in replicators, stochastic emergence of distinct replicator types, and redox-controlled photoswitches. His contributions to Green Labs reflect a commitment to sustainable laboratory practices. While no awards are listed, his active role in coordinating PhD programs and interdisciplinary research groups underscores his leadership in academic and applied chemistry contexts.

Gomika UdugamasooriyaView profile

Professor

• Peptoids and Peptidomimetics
• Cancer Diagnostics
• Cancer Therapeutics
• +5 more

Gomika Udugamasooriya is a Professor in the Department of Pharmacological and Pharmaceutical Sciences at the University of Houston College of Pharmacy , with adjunct appointments at The University of Texas MD Anderson Cancer Center (Department of Cancer Systems Imaging) and Baylor College of Medicine (Dan L. Duncan Comprehensive Cancer Center). Her research focuses on peptoid and peptidomimetic development for cancer diagnostics, therapeutics, and theranostic tools. Education : PhD in Bioorganic Chemistry from Wayne State University, BSc in Chemistry from University of Colombo Her work spans cancer stem cell biomarker identification , high-throughput cell screening , and antiviral drug design (e.g., ACE2-targeting SARS-CoV-2 inhibitors). Recent publications emphasize vimentin-binding peptoids for lung cancer targeting and ERK5 kinase inhibitors to suppress cancer stem cell activity. Scientific awards include NIH SPORE Career Development Award and 50-in-5 Scholar recognition from the University of Houston.

• Algorithm Engineering
• Efficient Algorithms and Data Structures
• Intelligent Computing & Engineering
• +11 more

Christos Zaroliagis is a Full Professor in the Department of Computer Engineering & Informatics at the University of Patras, Greece, where he serves as Head of the Intelligent Computing & Engineering Lab (ICE Lab). He is also a Senior Research Associate at the Computer Technology Institute & Press "Diophantus" in Patras. Previously, he held positions at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and the Department of Informatics at King's College, University of London, UK. He was also a visiting Professor and KIT Distinguished Research Fellow at the Karlsruhe Institute of Technology in Germany. Professor Zaroliagis specializes in algorithm engineering, optimization, decentralized computing, and cryptography & information security, with applications in large-scale networks and systems. His research has significant focus on mobility in smart cities, intelligent transportation systems, and big data analysis. He has published extensively in major international journals and conferences, and has served as editor for several academic journals including Algorithms, Journal of Discrete Algorithms, and ACM Journal of Experimental Algorithmics. His work spans both theoretical foundations and practical implementations, with numerous software libraries and systems developed under his leadership. His recent publications demonstrate continued innovation across cloud computing, intelligent transportation systems, decentralized computing, and big data analytics, showing a clear progression from foundational algorithm design to practical applications in smart city infrastructure. The research shows strong interdisciplinary connections between computer science, operations research, and urban planning. prize award 2012 for Academic and Scientific Excellence awarded by the Greek Ministry of Education KIT Distinguished Research Fellow Mercator Fellow Professor Zaroliagis leads the Intelligent Computing & Engineering Lab (ICE Lab), which has produced several significant software systems including PGL (graph algorithms library), ECC-LIB (cryptography library), Searchius (collaborative search engine), and iClone (social navigation system). His academic service includes heading the EURAXESS Services Center of the University of Patras and serving as National Contact Point for the FP7 PEOPLE Program - Mobility. He has been extensively involved in organizing international conferences and serving on program committees across computer science.

Alexander MView profile

Researcher

• Synthetic Biology
• Self-Assembly
• Chemical Biology
• +3 more

Alexander M is a current faculty member in the Department of Chemistry and Biochemistry at the University of California, Los Angeles (UCLA), affiliated with the Doyle Lab under Prof. Abigail Doyle. He earned a B.S. in Chemistry from the University of Southern California (2021) and previously worked at Johnson & Johnson on small molecule immunology projects. Education: B.S. in Chemistry, University of Southern California (2021) His research focuses on synthetic biology, chemically fueled self-assembly, and non-equilibrium systems, particularly active droplets, transient nanoreactors, and dynamic coacervate-based materials. Publications emphasize kinetic trapping, oscillatory mechanisms, and molecular design principles for fuel-driven systems. The articles analyzed reveal trends in chemically fueled assembly (2020–2025), including synthetic flagella, active droplet dynamics, and coacervate-based architectures. Key keywords span Synthetic Biology , Soft Matter Physics , Materials Science , and Chemical Biology . His work includes collaborations with researchers like Rodon Fores J., Lieleg O., and Boekhoven J. Alexander currently belongs to the Doyle Lab at UCLA, contributing to synthetic chemistry and materials science research.

Guido TackView profile

Associate Professor

• Combinatorial Optimization
• Constraint Programming
• Programming Languages
• +3 more

Guido Tack is an Associate Professor in the Department of Data Science & Artificial Intelligence at Monash University's Faculty of Information Technology. He leads development of the MiniZinc constraint modeling language and is a core developer of Gecode, a leading constraint programming library. His research focuses on combinatorial optimization, constraint solver architecture, and industrial applications, extending to programming languages and computational logic. Education: PhD (Dr.-Ing.) in Computer Science from Saarland University (2009), Diplom Informatiker (MSc equivalent) from Saarland University (2003). Professional experience includes postdoctoral roles at NICTA, Saarland University, and KU Leuven before joining Monash in 2012 as a Lecturer and Monash Larkins Fellow. Research interests span constraint programming, optimization algorithms, and their applications. Recent projects include improving the MiniZinc ecosystem, optimizing metering systems for smart water networks, and quantum information technology. He has secured over 13 major research grants, including leadership in the ARC Training Centre for Optimization Technologies. Teaching: Chief Examiner for FIT5170, FIT9135, FIT5216; Lecturer for FIT1047, FIT4010, and others. Editorial Roles: Co-Editor-in-Chief of Constraints journal (2015), active in ACM and Association for Constraint Programming. Awards: 2024 Eureka Prize finalist, 2017 FIT Dean's Award, 2010 Doctoral Research Award. Publications span constraint solving techniques, optimization algorithms, and educational tools. Recent work emphasizes real-time path planning, bi-objective search, and energy-efficient systems. He contributes to both academic conferences and industry-focused projects, bridging theoretical research with practical applications.

Philip D. RackView profile

Professor

• Thin-film processing and characterization
• Materials and device nanofabrication
• Nanoscale electron, ion, and photon beam induced processing
• +5 more

Philip D. Rack is a Professor and the Leonard G. Penland Chair at the University of Tennessee's Department of Materials Science and Engineering within the Tickle College of Engineering. He also serves as Director of the Center for Materials Processing. His career spans over two decades in academia and industry, with significant contributions to advanced materials processing and nanofabrication techniques. Dr. Rack earned his PhD in Materials Science and Engineering from the University of Florida in 1997, following a Magna Cum Laude bachelor's degree from Georgia Institute of Technology in 1993. His research program focuses on three main areas: combinatorial thin film synthesis for rapid materials discovery, materials integration and nanofabrication for advanced device applications, and nanoscale focused electron beam stimulated processing. These research directions have led to significant advances in nanofabrication techniques, particularly in electron beam induced deposition and etching. His recent publications reveal a continued evolution of his research toward advanced materials discovery using combinatorial methods, high entropy alloys, and sophisticated nanofabrication techniques. A notable trend is the integration of machine learning with microscopy and materials characterization, reflecting the growing importance of artificial intelligence in materials science. His work spans multiple disciplines including nanotechnology, electron microscopy, thin film science, and advanced manufacturing. 2020, 2016, 2013 University of Tennessee College of Engineering Research Fellow Award 2018 AVS Fellowship 2017, 2016 CNMS Division Award for Distinguished Scientific Paper, ORNL Multiple earlier Research Fellow Awards (2009, 2007, 2006) Ralph E. Powe Junior Faculty Achievement Award (2003) Dr. Rack has secured numerous research grants supporting his work in nanofabrication and materials processing, including collaborations with Oak Ridge National Laboratory where he has contributed to the development of vertically aligned carbon nanofiber arrays. His laboratory features specialized equipment including a multi-source rf magnetron sputtering system capable of combinatorial thin film deposition and a focused electron beam system for nanoscale processing. His research group has developed innovative techniques for nanoscale directed assembly, electron beam induced deposition and etching, and combinatorial materials discovery.

Amelia A. FullerView profile

Professor

• Organic Chemistry
• Bioorganic Chemistry
• Peptidomimetic Synthesis
• +4 more

Amelia A. Fuller is the John Nobili, S.J. Professor in the Department of Chemistry and Biochemistry at Santa Clara University (College of Arts and Sciences). Her research focuses on designing, synthesizing, and studying biomimetic molecules like peptoids for applications in diagnostics, sensing, and therapeutics. Education: B.S. from Davidson College (2001), Ph.D. from University of Michigan (2006) Research: Develops predictive guidelines for peptoid structural complexity, explores peptoid-lipid interactions, and integrates research into undergraduate education via the D3 (Distributed Drug Discovery) program Recent Research Trends: Her work emphasizes water-soluble peptoids, their self-association dynamics, and functional applications in molecular recognition, pH sensing, and nanoparticle stabilization. Collaborative projects include studies of peptoid-membrane interactions and combinatorial synthesis for antimicrobial drug candidates. Scientific Awards: Henry Dreyfus Teacher-Scholar Award (2017) Clare Boothe Luce Professorship (2008-2015) NSF CAREER Grant (2011-2016) Camille and Henry Dreyfus Faculty Start-up Award (2008-2012) Advising and Grants: Mentors undergraduate researchers who co-author publications and present at national conferences. Secured grants from the NSF, Research Corporation, and Santa Clara University to advance peptoid synthesis and undergraduate research training. Labs and Teams: Leads the Fuller Research Lab , which collaborates with Grace Stokes on peptoid-lipid interactions and Bill Scott on the D3 program. Lab projects include solid-phase synthesis, fluorescence spectroscopy, and applications of peptoids in environmental sensing and drug discovery.

Daniel P. WeitekampView profile

Professor

• Magnetic Resonance
• Spectroscopy
• Quantum Mechanics
• +6 more

Daniel P. Weitekamp is a Professor of Chemical Physics at the California Institute of Technology (Caltech), where he has been affiliated since 1985. His academic journey includes a B.A. from Harvard College (1974) and a Ph.D. from the University of California (1982). Research Focus: Magnetic resonance, quantum mechanics, and spectroscopic applications in chemistry and nanoscale physics. Teaching: Co-instructor of The Elements of Quantum Chemistry (Ch 125) and Scientific Writing (Ch/ChE 91) at Caltech. Professor Weitekamp's research explores novel magnetic resonance techniques to study interfacial and nanoscale chemical systems. He specializes in leveraging quantum and statistical mechanics to design experiments that reveal molecular structure and dynamics through NMR lineshapes and polarization effects. Recent publications highlight advancements in force-detected NMR, resonator-induced polarization, and hyperpolarization methods. These works demonstrate his focus on ultrasensitive spectroscopy for semiconductor devices, quantum confinement, and molecular binding studies. His group develops prototype instruments for surface-sensitive spin and optical spectroscopy, enabling high-resolution analysis of nanostructures and combinatorial molecular libraries.

Inês LynceView profile

Professor

• Artificial Intelligence
• Constraint Satisfaction and Optimization
• Automated Reasoning
• +2 more

Inês Lynce is a Professor at the Department of Computer Engineering within the Instituto Superior Técnico (University of Lisbon) and a researcher at INESC-ID Lisboa . Her research focuses on Artificial Intelligence, Constraint Satisfaction and Optimization, Automated Reasoning, Formal Methods, and Bioinformatics. She leads multiple research projects, including RIGA (Indirect Discrimination Analysis), GOLEM (Automated Programming), and LAIfeBlood (AI for Blood Management), funded by FCT and EU programs. Education: While specific academic qualifications aren't listed, her roles and research output indicate advanced degrees in Computer Science/Engineering. Her work bridges theoretical computer science and practical applications, with a strong emphasis on Satisfiability (SAT) solving, constraint programming, and AI-driven solutions for complex systems. She has organized major conferences like SAT 2019 and ECAI 2025 , and serves on editorial boards for journals including Artificial Intelligence Journal and Journal on Satisfiability . Her awards include the INESC-ID Young Researcher Award (2009), APPIA PremiA Award (2009), and UTL/Deloitte Young Researcher Award (2008). Professional activities span program committee roles for AAAI , IJCAI , and CP conferences, reflecting her leadership in AI and constraint-based research. Teaching activities are managed through Fenix IST, and she collaborates with initiatives like CompSustNet for interdisciplinary research. Her work has been applied to diverse domains, including transportation scheduling, bioinformatics modeling, and cybersecurity protocol analysis.

Jeffrey A. BilmesView profile

Professor

• Machine Learning
• Optimization
• Graphical Models
• +6 more

Jeffrey A. Bilmes is a Professor in the Department of Electrical and Computer Engineering at the University of Washington, Seattle, with adjunct roles in Computer Science & Engineering and Linguistics. He founded the MELODI Lab, focusing on machine learning, optimization, and data interpretation. Bilmes holds a Ph.D. from UC Berkeley and a Master's from MIT. His research spans graphical models, speech recognition, bioinformatics, and submodular optimization, with notable contributions like the GMTK toolkit and pioneering work in submodularity. He has received prestigious awards including the NSF Career Award (2001), NAE Gilbreth Lectureship (2008), and best paper awards at ICML/NIPS (2013). Bilmes has held leadership roles in UAI and NeurIPS conferences, and his work bridges theoretical foundations with practical applications in computational systems and human-computer interaction. Education: Ph.D., Computer Science, UC Berkeley; M.S., MIT. Research Interests: Machine learning, temporal graphical models, submodularity, speech interfaces, and algorithmic optimization. His work on submodular functions has been recognized with multiple awards, including the 25-year ICS award for his 1997 matrix optimization research. He actively contributes to academic service through conference organization and editorial roles at JMLR. The MELODI Lab develops cutting-edge tools like GMTK, PhiPAC, and Vocal Joystick for real-world applications. Recent Activities: Invited lectures at Yale (2016), Harvard (2015), and IIT Bombay. Co-organized NIPS workshops on discrete optimization (2013–2016). Authored influential papers on submodular optimization, semi-supervised learning, and parallel computing. Current research emphasizes submodular applications in large-scale data management and distributed systems.

Daniel BurgarthView profile

Professor

• Quantum Control
• Mathematical Physics
• Quantum Technology
• +3 more

Dr. Daniel Burgarth holds an honorary appointment in the Department of Mathematics at Aberystwyth University. His research focuses on quantum control theory, mathematical physics, and quantum technology. He has contributed to areas such as quantum decoherence, open quantum systems, and quantum information processing. Recent work includes advancements in optomechanical correlations, numerical methods for quantum systems, and theoretical frameworks for quantum simulators. Burgarth has led or co-led multiple externally funded projects, including grants from the Engineering and Physical Sciences Research Council (EPSRC) and the London Mathematical Society. His projects span topics like blind quantum control, noisy quantum device characterization, and quantum system identification. Key publications include studies on dynamical decoupling of Hamiltonians, hidden Markov models, and Lindbladian purification. Collaborations with international researchers highlight his work on quantum dynamics, parameter estimation, and software tools like the QuTiP-BoFiN library. Education: Advanced degrees in theoretical physics and mathematics (not explicitly detailed in text). Labs/Teams: Works with interdisciplinary teams in quantum control and computational physics. Grants: PI roles in 5 major grants (2012–2021), including £ funding for quantum device research and summer schools.

Kasper Hornstrup HansenView profile

Researcher

• Cyclodextrin Chemistry
• Combinatorial Chemistry
• Catalyst Properties
• +3 more

Kasper Hornstrup Hansen is a postdoctoral researcher at the Department of Organic Chemistry, Technical University of Denmark (DTU). His work focuses on cyclodextrin chemistry, combinatorial synthesis, and nanoparticle catalysis. Key research areas include enzymatic synthesis of large-ring cyclodextrins, stabilization of gold nanoparticles using cyclodextrins, and development of fluorescent probes for host-guest studies. His recent publications highlight expertise in dynamic combinatorial chemistry, supramolecular assembly, and green catalysis. He holds a patent for large-ring cyclodextrin production and completed his PhD thesis on redox-responsive cyclodextrin systems. Collaborations span organic synthesis, nanotechnology, and analytical chemistry. Projects: Stimuli-responsive enzyme-mediated dynamic combinatorial libraries (2020-2024, DTU Chemistry PhD project) Available via email: kasho@kemi.dtu.dk

Jan LellmannView profile

Professor

• Variational Image Processing
• Optimization on Manifolds
• Image Registration
• +7 more

Jan Lellmann is a Professor at the Institute of Mathematics and Image Computing of the University of Lübeck, with affiliations to Fraunhofer MEVIS . His research focuses on variational image processing , emphasizing the systematic formulation of prior knowledge into energy functions for improved accuracy and data efficiency. Applications span medical imaging , earth sciences , and biological data analysis . He develops non-smooth optimization methods for problems with combinatorial aspects like image segmentation . His recent work includes manifold-constrained optimization and quantum algorithms for imaging tasks. He has contributed software libraries like MFOPT (for manifold optimization) and COAL (for convex energy minimization). Scientific Awards: Best Student Paper Award at SSVM 2021 Honorable Mention at CVPR 2016 Recent Research Trends: Integration of quantum computing with classical image registration. Advancements in Riemannian geometry for protein dynamics and cryo-EM. Development of meta-learning frameworks for adaptive image alignment. Focus on non-smooth and higher-order regularization for sparse data reconstruction.

Antonio MontesView profile

Professor

• Computer Algebra
• Symbolic Computation
• Gröbner Bases
• +6 more

Antonio Montes is a faculty member in the Departament de Matemàtica Aplicada at Universitat Politècnica de Catalunya (UPC), with affiliations to both the Facultat de Matemàtiques i Estadística and the Facultat d'Informàtica de Barcelona. He has taught a wide range of courses from 1981 to 2013, including Computer Algebra, Calculus, Symbolic Computation, and foundational mathematics for computer science and mathematics students. Research Focus: Computer Algebra, Symbolic Computation, Parametric Polynomial Systems, Gröbner Bases, Automatic Geometric Theorem Proving, Locus and Envelope Computation. Key Contribution: Development of the Gröbner Cover method and the grobcov.lib library in Singular, enabling canonical discussion of parametric polynomial systems. Major Publication: Author of the book The Gröbner Cover (Springer, 2018), which serves as a comprehensive theoretical and practical guide to the method. The recent articles highlight a strong and consistent research trajectory centered on the Gröbner Cover and its applications in symbolic computation and geometry. His work bridges theoretical algebra with practical software implementation, particularly in dynamic geometry environments like GeoGebra. The publications span algorithmic improvements, canonical representations, and applications to geometric theorem discovery, demonstrating both depth and interdisciplinary impact. The grobcov.lib library is a major software contribution, widely used in Singular for parametric system analysis. His research has enabled exact algebraic solutions in dynamic geometry, providing taxonomies to distinguish true loci from extraneous components. Collaborations with Michael Wibmer, Tomás Recio, and Montserrat Manubens have advanced the field of comprehensive Gröbner systems. Antonio Montes has made significant contributions to the theory and application of symbolic computation, particularly through the development and dissemination of the Gröbner Cover method. His work combines deep theoretical insight with practical software engineering, influencing both computer algebra and automated geometry. He has advised or collaborated with researchers in related areas, though formal advisees are not listed. His innovations continue to be applied in mathematical software and geometric reasoning systems.