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Yueh-Lin (Lynn) LooView profile

Professor

• Organic Electronics
• Materials Science
• Chemical Engineering
• +3 more

Yueh-Lin (Lynn) Loo is the Theodora D. '78 and William H. Walton III '74 Professor in Engineering and Professor of Chemical and Biological Engineering at Princeton University. She holds affiliated roles in the Andlinger Center for Energy and the Environment, Department of Chemistry, Department of Electrical Engineering, Princeton Environmental Institute, and Princeton Materials Institute. Her research focuses on organic and polymer electronics, with emphasis on solution-processable materials, soft lithography, and interfacial engineering in solar cells. She has pioneered innovations in organic electronics fabrication and scalable energy technologies. Education: Ph.D. in Chemical Engineering from Princeton University (2001); BSE in Materials Science and Engineering and Chemical Engineering from the University of Pennsylvania (1996). Research Interests: - Solution-processable organic conductors for thin-film electronics - Soft lithography techniques for patterning plastic electronics - Self-assembled monolayers for optimizing organic solar cell interfaces - Development of cost-effective, large-area electronic device fabrication methods Her articles span organic semiconductor material design, device fabrication techniques, and energy applications. Awards include Fellowships from the National Academy of Engineering, American Institute of Chemical Engineers, and multiple industry recognitions for innovation in materials science and clean energy. Advises graduate students in chemical engineering and materials science. Leads the Organic and Polymer Electronics Laboratory, advancing research in decarbonization technologies and maritime energy solutions. Current projects include smart solar spectrum management systems and recyclable plastic electronics.

• Combinatorial optimization
• Design and analysis of algorithms
• Field-programmable systems
• +7 more

Martin D F Wong serves as the Edward C. Jordan Professor of Electrical and Computer Engineering and Executive Associate Dean for the College of Engineering at the University of Illinois at Urbana-Champaign. He is affiliated with the Coordinated Science Laboratory and has been instrumental in advancing electronic design automation research. His educational background includes: B.Sc. in Mathematics, University of Toronto (1979) MS in Mathematics, University of Illinois at Urbana-Champaign (1981) Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (1987) Wong's research centers on combinatorial optimization and algorithm design for VLSI systems, with particular expertise in lithography-aware physical design, field-programmable systems, and electronic packaging. His work bridges theoretical algorithms with practical semiconductor manufacturing challenges as feature sizes shrink below 20 nanometers. Current research focuses on integrating chip design with next-generation lithography technologies including triple-patterning, self-aligned double patterning, directed self-assembly, and extreme ultraviolet processes. His publication record shows consistent contributions to electronic design automation, with emphasis on manufacturing-aware physical design algorithms and circuit optimization techniques. Recent work addresses the critical interface between circuit layout and lithography processes as semiconductor technology advances to 14nm and beyond. Scientific recognition includes: Fellow of IEEE and ACM 2000 IEEE Donald O. Peterson Best Paper Award Multiple Best Paper Awards at DAC, ICCD, and ICCAD conferences IBM Faculty Awards (2000, 2004) NSF Research Initiation Award Wong has secured significant research funding including a $450,000 NSF grant for lithography-aware physical design and has supervised over 49 PhD students. His work continues the legacy of integrated circuit innovation at Illinois, building on foundational contributions like Jack Kilby's integrated circuit invention. Current research initiatives focus on optimizing chip design for next-generation manufacturing processes where optical interference challenges require co-design of layout and fabrication. He leads research within the Coordinated Science Laboratory, focusing on electronic design automation algorithms that address the growing complexity of semiconductor manufacturing at nanometer scales.

Matthias BarzView profile

Professor

• Polymer Science
• Biotherapeutic Delivery
• Nanoparticle Synthesis
• +7 more

Matthias Barz is a Professor of Biotherapeutic Delivery at the Leiden Academic Centre for Drug Research (LACDR) , Faculty of Science , Leiden University . He leads the Barz Lab , focusing on polymer science and biomedical applications of functional nanoparticles. Professor of Biotherapeutic Delivery (Leiden University) Head of the Division of BioTherapeutics Researcher in reactive polymer systems and nanocarrier design His research bridges polymer chemistry with biomedical applications, emphasizing polypept(o)ide-based nanocarriers for targeted drug delivery in cancer, inflammation, and neurodegenerative diseases. Key areas include: Stimuli-responsive polymer architectures Secondary structure-driven self-assembly Core-crosslinked micelles for controlled cargo release Redox-sensitive disulfide bonds for intracellular delivery Protein-repellent nanoparticle shells Riboflavin-functionalized nanocarriers for tumor targeting The lab's publications highlight advancements in polysarcosine-containing copolymers , orthogonal functional group utilization , and modular nanoparticle platforms with precise control over morphology and function. Current projects explore the clinical translation of these systems for immunotherapy and diagnostics. Scientific recognition includes: Dozentenpreis des Fonds der Chemischen Industrie (2018) PMSE Young Investigator Award (2018) Nachwuchswissenschaftlerstipendium der GDCh (2017) His team trains graduate students in polymer synthesis, nanoparticle characterization, and biomedical application testing. Collaborations span institutions like the University of Tokyo and Johannes Gutenberg University Mainz , with ongoing projects under the SFB 1066 initiative for malignant melanoma immunotherapy.

Jaime CardenasView profile

Assistant Professor

• nanophotonics
• integrated photonics
• nonlinear photonics
• +5 more

Jaime Cardenas serves as an Assistant Professor at The Institute of Optics and holds a joint appointment as Assistant Professor of Physics at the University of Rochester. He joined the faculty in July 2016 after earning his Ph.D. in Optical Science and Engineering from the University of Alabama in Huntsville and gaining industry experience as a process engineer followed by research at the Cornell Nanophotonics Group. His educational background includes: Ph.D. in Optical Science and Engineering, University of Alabama in Huntsville Professor Cardenas' research centers on integrated photonics, nanophotonics, and nonlinear photonics, with current projects targeting photonic packaging, 2D materials integration, nonlinear optical phenomena, and on-chip quantum photonics. His group develops nanostructured photonic devices that manipulate light within chip-scale platforms, enabling applications in precision sensing, communications, and quantum technologies. This work bridges fundamental optical physics with practical engineering solutions for real-world implementation. Analysis of his recent publications reveals dominant themes in chip-scale photonic systems, particularly advancements in silicon nitride and lithium niobate platforms. Key research trajectories include weak-value amplification for ultra-precise optical gyroscopes, adiabatic frequency conversion in microring resonators, photonic packaging innovations via laser fusion splicing, and multispectral imaging sensor development. His work consistently emphasizes translating theoretical concepts into manufacturable integrated photonic devices with applications spanning navigation systems, spectroscopy, and quantum information processing. Professor Cardenas leads the Cardenas Lab, which specializes in creating photonic devices that fit on the tip of a needle. The lab's research portfolio spans from fundamental nonlinear optical phenomena to applied educational initiatives, including hands-on photonic kits designed to train the next generation of integrated photonics engineers. Current projects focus on developing robust, manufacturable photonic systems for industrial and defense applications while maintaining strong connections to quantum photonics research.

Steven A. SoperView profile

Professor

• Bioanalytical Chemistry
• Microfluidics
• Nanofluidics
• +7 more

Steven A. Soper is a Foundation Distinguished Professor in the Department of Chemistry and Mechanical Engineering at the University of Kansas. He serves as Director of the NIH-funded Center for BioModular Multi-Scale Systems for Precision Medicine and leads international collaborations with institutions like UNIST in South Korea. His career spans faculty roles at LSU, UNC, and KU, with interdisciplinary research bridging chemistry, biomedical engineering, and materials science. Ph.D. in Bioanalytical Chemistry, University of Kansas (1989) Postdoctoral Fellow, Los Alamos National Laboratory (1991) B.S. in Chemistry and Psychology, University of Nebraska (1980-1982) Research Interests focus on micro-/nanofabricated biochemical analysis systems for clinical diagnostics, particularly circulating tumor cell analysis , cell-free DNA detection , and single-molecule fluorescence applications. His work integrates polymer microfabrication, FRET-based assays, and thermoplastic nanofluidics for cancer, stroke, and infectious disease diagnostics. Scientific Awards include: R&D 100 Award (2010) Shannon Award (NIH) (1994) Distinguished Research Master, LSU (2002) Fellow, AAAS/RSC/SAS (2010) Sutton Family Research Impact Award (2021) Teaching & Collaboration involves mentoring 39 professional-degree recipients, organizing multidisciplinary research teams, and co-teaching courses in Biofluid Mechanics and Nanotechnology . His lab partners with institutions in South Korea and UNC/NCSU, while hosting international students and professionals. Labs & Centers : Leads the Soper Research Group and the Center for BioModular Multi-Scale Systems , which provides access to state-of-the-art nanofabrication tools and collaborative expertise across 12 institutions.

Samarpita RoyView profile

Assistant Professor

• Microbial Ecology
• Metagenomics
• Wastewater Treatment
• +3 more

Samarpita Roy is an Assistant Professor at TU Delft's Faculty of Applied Sciences, leading the Environmental Biotechnology department's Samarpita Roy Group. Her research focuses on microbial ecology in engineered bioprocesses, integrating metagenomics and quantitative physiology to study microbial metabolisms and community interactions. Key projects include exploring phototrophic and polyphosphate-accumulating organisms in wastewater treatment for nutrient/resource recovery. She actively seeks industrial collaborations and is hiring PhD candidates in metagenomics/microbial ecology. Research emphasizes understanding microbial community dynamics under fluctuating conditions, developing sequencing/data analysis workflows, and applying findings to enhance bioprocess efficiency. Her work aims to advance circular bioeconomy solutions through innovative biotechnology approaches.

Andreas HirschView profile

Professor

• Organic Chemistry
• Graphene Functionalization
• Carbon Nanomaterials
• +3 more

Prof. Dr. Andreas Hirsch is a Professor in the Department of Chemistry and Pharmacy at Friedrich-Alexander University Erlangen-Nürnberg (FAU) . His research focuses on organic chemistry , graphene functionalization , carbon nanomaterials , and molecular solar thermal systems , with significant contributions to 2D material engineering and supramolecular chemistry . Chair of Organic Chemistry II (FAU Erlangen-Nürnberg) ResearchGate: Profile Google Scholar: Profile His work spans graphene patterning via laser writing , black phosphorus stabilization using perylenediimides , and covalent functionalization of 2D materials like MoS 2 and carbon nanotubes . Recent studies include non-covalent passivation of BP nanosheets and electroswitchable catalysis for solar thermal energy storage . His scientific awards include the Second Place Poster Award (2023) and Robert C. Haddon Research Award (2021) . Collaborative projects highlight smart nanoparticle systems for radiation therapy and environmental remediation applications.

• MEMS
• Nanotechnology
• BioMEMS
• +7 more

Cagri A. Savran is a Professor of Mechanical Engineering at Purdue University, with courtesy appointments in Biomedical Engineering and Electrical and Computer Engineering. He holds a B.S. from Purdue University (1998), an M.S. and Ph.D. from MIT (2000 and 2004, respectively). His research focuses on MEMS, nanotechnology, and biosensors, particularly in protein detection, aptamers, and biomedical applications. His work spans fluid mechanics, systems control, and micro/nano fabrication. Education: B.S., Purdue University, 1998 M.S., MIT, 2000 Ph.D., MIT, 2004 Research Interests: Dr. Savran pioneers innovations in bioMEMS and nanoscale biosensing technologies. His lab develops platforms like immunomagnetic diffractometry and microfluidic systems for real-time pathogen detection and clinical diagnostics. Key areas include aptamer-based assays, magnetic nanoparticle integration, and single-molecule studies of DNA packaging motors. Awards: Motorola PhD Fellowship (2001-2004) NSF U.S.-Japan Young Researchers Exchange (2007) #1 News in Analytical Chemistry (2007) #1 News in JACS Weekly (2007) Labs & Teams: The Savran Lab (savranlab.org) integrates engineering and biology to create next-generation biomedical devices. Research emphasizes translating nanotechnology into practical diagnostic tools for healthcare and environmental monitoring.

Shungeng ZhangView profile

Assistant Professor

• Distributed Systems
• Cloud Computing
• Cybersecurity
• +4 more

Shungeng Zhang serves as an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. He holds a Ph.D. in Computer Science from Louisiana State University (2021) and a B.E. in Computer Engineering from Huazhong University of Science and Technology (2014). His educational background includes: Ph.D. in Computer Science, Louisiana State University, 2021 B.E. in Computer Engineering, Huazhong University of Science and Technology, 2014 Dr. Zhang's research spans distributed systems, cloud computing, and cybersecurity with a focus on enhancing performance and scalability of web applications and IoT stream processing in cloud environments. He employs sophisticated timeline analysis and fine-grained monitoring to identify transient bottlenecks causing long-tail latency problems, addressing propagation effects in complex dependency chains among application components. His publication record (2017-2022) reveals consistent contributions to cloud systems performance, particularly in n-tier architectures, concurrency control, and latency optimization. Key themes include stream processing synchronization, fanout query performance, adaptive concurrency for SLO compliance, and mitigation of transient resource contention attacks across distributed systems. No scientific awards were mentioned in the provided information. Dr. Zhang actively seeks graduate students with strong computer systems backgrounds for research collaboration. His departmental service includes Faculty Assembly participation (2021-2022) and faculty interviewing duties. Professionally, he serves as a reviewer for ACM SoCC'23, ACM TOIT, SmartCom 2023, The Journal of Supercomputing, and ACM SoCC'22. Teaching responsibilities include AIST 4720 (Enterprise System Architectures), CSCI 1200 (Introduction to Computers and Programming), and graduate courses such as CSCI 8940 (Dissertation Research) and AIST 3310 (Advanced Networking). No dedicated research labs or teams were specified in the available documentation.

Wenzel JakobView profile

Associate Professor

• Inverse Graphics
• Differentiable Rendering
• Physically Based Rendering
• +7 more

Wenzel Jakob is an Associate Professor and leader of the Realistic Graphics Lab at EPFL's School of Computer and Communication Sciences , currently on sabbatical at the University of Tokyo until Fall 2025. His work bridges inverse graphics , physically based rendering , and compiler/systems research , with a focus on developing robust differentiable rendering frameworks. Key research themes include: Backpropagation through rendering algorithms for inverse problems Material appearance modeling and optical measurement systems Compiler design for differentiable rendering pipelines Manifold sampling techniques and light transport derivatives His group created Mitsuba renderer , Dr.Jit , and Instant Meshes (recipient of the SGP Software Award). Recent publications (2021–2024) explore volumetric rendering, SDF-based differentiable systems, and efficient Monte Carlo estimators. Awards include the ACM SIGGRAPH Significant Researcher Award , Eurographics Young Researcher Award , and ERC Starting Grant . Teaching roles (2016–2024) span Advanced Computer Graphics and Numerical Methods for Visual Computing courses at EPFL.

Georg FantnerView profile

Associate Professor

• Bioinstrumentation
• Nanotechnology
• Scanning Probe Microscopy
• +3 more

Georg Fantner is an Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) with dual appointments in the School of Engineering (STI) within the Institute of Bioengineering and the School of Life Sciences (SV) for teaching. He directs the Laboratory for Bio- and Nano-Instrumentation (LBNI) and holds leadership roles including President of the Open Science Strategic Committee and the Association des Professeurs de l'EPFL. Research Focus: Bioinstrumentation, Nanotechnology, Scanning Probe Microscopy, and Metrology Teaching: Structural Mechanics for Life Sciences, Metrology, and Metrology Practicals His research pioneers advanced instrumentation for nanoscale characterization, emphasizing data-driven approaches to enhance microscopy techniques. Recent work integrates deep learning with scanning probe microscopy for real-time biological imaging and develops novel MEMS devices for fluid-compatible nanoscale manipulation. Key innovations include hermetically sealed sample chambers for pathogen studies and deterministic nanotopography engineering. Professor Fantner actively mentors 7 current PhD students and has supervised 14 graduates. His laboratory fosters interdisciplinary collaboration across engineering, physics, and life sciences to advance nanoscale measurement technologies and instrumentation development.

Aaron M. DollarView profile

Professor

• Robotics
• Mechatronics
• Robotic Grasping and Manipulation
• +5 more

Aaron M. Dollar is the Frederick W. Beinecke Professor of Mechanical Engineering at Yale University, affiliated with the Yale Grab Lab. His research focuses on robotics, mechatronics, robotic grasping, and prosthetics, emphasizing adaptive mechanisms and human-robot interaction. He holds a PhD from Harvard University (2008) and degrees from UMass Amherst. Key research areas include dexterous manipulation, underactuated mechanisms, and assistive devices. His work bridges theory and practical applications, with contributions to prosthetic hands, robotic hands, and modular robotics systems. Recipient of prestigious awards: TR35 Innovator (2010), NSF CAREER Award (2010), DARPA Young Faculty Award (2013), and Air Force Young Investigator Award (2011). Developed the Yale MyoAdapt Hand, a single-actuator prosthetic with high functionality. Pioneered methods in real-to-sim transfer, modular lattice printing, and energy-aware robotic exploration. His lab, the Yale Grab Lab, explores robotics, prosthetics, and human motion analysis. Recent projects include autonomous calibration systems (ARC-Calib) and low-cost robotic hardware (RB5 Explorer).

Nicholas RuozziView profile

Assistant Professor

• Machine Learning
• Statistical Inference
• Graphical Models
• +7 more

Nicholas Ruozzi is an Assistant Professor of Computer Science at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on machine learning, statistical inference, and probabilistic graphical models, with applications in virtual reality (VR) training, computer vision, and explainable AI. He has contributed to areas such as tractable probabilistic modeling, activity recognition in videos, and user tracking in VR systems. His work often bridges theoretical foundations with practical applications, such as developing algorithms for data privacy in VR training sessions and enhancing deep learning models through hybrid approaches with graphical models. Recent research trends include exploring multimodal interaction, distributionally robust models, and novel instance detection techniques in computer vision. Ruozzi's publications span topics like user identifiability in VR, predictive task guidance in AR, and systematic analysis of device interactions in VR systems. While no specific awards or grants are listed, his contributions reflect a strong emphasis on interdisciplinary applications of machine learning and probabilistic methods.

Matthew KimberView profile

Professor

• Structural Biology
• Bacterial Systems
• Biochemistry
• +3 more

Dr. Matthew Kimber is a Professor in the Department of Molecular and Cellular Biology at the University of Guelph. His research focuses on structural biology of bacterial systems, particularly bacterial polysaccharides and microcompartments. He employs x-ray crystallography to study molecular architectures, with current projects exploring mechanisms of bacterial surface polysaccharide assembly and bacterial microcompartment function. Education: B.Sc. (Hons) Molecular Genetics and Molecular Cell Biology from the University of Toronto (1993), Ph.D. in Molecular and Medical Genetics from the University of Toronto (2000). Research Interests: Structural basis of polysaccharide assembly and modification, bacterial microcompartment structure-function relationships, and enzyme mechanisms. Key projects include studies on glycosyltransferases, carboxysomes, and aminoacetone degradation pathways. Lab Members: Current graduate students include Laura Seidel, Liam Noseworthy, Manitabhai Govind, and Shaoqian Zong. Former members include Patrick Ryan, Evan Mallette, and Tom Keeling. Lab Focus: Probing structural details of biological molecules to understand function, with emphasis on bacteria’s strategies for polysaccharide modification and microcompartment assembly. Recent work includes characterization of enzymes involved in O-antigen biosynthesis and microcompartment shell proteins.

Adam MarcusView profile

Associate Professor

• Architectural Design
• Computational Design
• Digital Fabrication
• +5 more

Adam Marcus is an Associate Professor of Architecture at Tulane University School of Architecture and serves as Research Director of the Center on Climate Change and Urbanism. He directs Variable Projects, an award-winning design and research studio operating at the intersection of architecture, computation, and fabrication, and is a partner in Futures North, a public art collaborative dedicated to exploring data aesthetics. His educational background includes: Master of Architecture from Columbia University Bachelor of Arts from Brown University Adam's research focuses on critical approaches to design computation, digital fabrication, and robotics, exploring how these technologies enable new modes of ecological, material, and public engagement. His work particularly emphasizes climate adaptation, buoyant ecologies for sea level rise, computational representation, and multispecies architecture. He integrates these interests through practical design-build projects that address ecological challenges while advancing architectural representation and fabrication techniques. His recent publications demonstrate a strong emphasis on computational approaches to architectural representation and ecological design. The works consistently explore the intersection of digital technologies with ecological imperatives, particularly focusing on climate adaptation strategies, multispecies collaborations, and innovative drawing protocols that bridge analog and computational paradigms. His book 'Drawing Codes' represents a significant contribution to rethinking architectural drawing in the computational age. Notable awards include: Selected as one of the '30 Most Admired Educators' by Design Intelligence (2013) Recipient of the New Faculty Teaching Award from the Association of Collegiate Schools of Architecture (2016) Adam has served on ACADIA's Board of Directors from 2015 to 2021 and currently serves on the editorial board of the International Journal of Architectural Computing. His teaching at Tulane includes design studios and courses in computational design and digital fabrication with ecological applications, building on his decade of experience at California College of the Arts where he co-founded the Architectural Ecologies Lab. He leads research initiatives through Tulane's Center on Climate Change and Urbanism, developing practical design solutions for ecological challenges, particularly those related to climate change and sea level rise. His Buoyant Ecologies Float Lab project exemplifies this approach, creating 'optimized upside-down benthos for sea level rise adaptation' that has received attention from major media outlets including Smithsonian Magazine and Architectural Record.