Dr. Laura Leff is a Professor and Chair at Kent State University's Environmental Science and Design Research Institute. Her research focuses on microbial ecology in aquatic ecosystems, particularly bacterial responses to environmental stressors like urbanization, pollution, and habitat changes. She has held editorial roles for journals including *Applied and Environmental Microbiology* and *Microbial Ecology*, contributing to academic discourse in her field. Dr. Leff earned her Ph.D. from the University of Georgia. Her research projects include studying bacterial communities in acid mine-impacted streams, agricultural streams, and wetlands, using molecular biology and microscopy to explore microbial community structure and function. She investigates topics such as denitrification dynamics, microplastic colonization, and antibiotic resistance in urban stream biofilms. Dr. Leff has secured funding from NSF, NASA, and the EPA. Her work bridges microbiology and ecology, addressing pressing environmental issues like water quality and bioremediation. Recent studies highlight her focus on emerging contaminants, microbial interactions in biofilms, and the impacts of human activities on freshwater ecosystems. Key Affiliations: American Society for Microbiology, International Society for Microbial Ecology. Grants: NSF, NASA, EPA grants for projects on microbial ecology and bioremediation. Editorial Roles: *Applied and Environmental Microbiology* (2001–2011), *Microbial Ecology* (2001–2017).
Farshid Hajati is a Lecturer in Data Science at the University of New England's School of Science and Technology. He holds a PhD from Western Sydney University and has industry experience as a Senior Data Scientist at Australian government health agencies. His expertise spans machine learning, medical AI, and computer vision. Dr. Hajati's research develops deep learning solutions for medical applications including retinal disease detection, cardiac arrhythmia classification, and fungal infection diagnosis. He has secured significant funding including $433,000 for an intracranial pressure assessment device and $100,000 from Google Research. His publications demonstrate consistent innovation in multimodal medical AI, with recent advances in interpretable graph networks for biomedical data and handheld retinal imaging. Earlier foundational work established methods for 3D face recognition and dynamic texture analysis.
Associate Professor Damon Kent is affiliated with the University of the Sunshine Coast (UniSC), where he holds the position of Associate Professor of Engineering Sciences within the School of Science, Technology and Engineering. He received his BEng (Hons), MPhil, and PhD from The University of Queensland. As Program Coordinator for the Mechanical Engineering program, he focuses on integrating teaching and research. His research interests span advanced materials development for medical, aerospace, and automotive applications, including metallic alloys, phase transformations, powder metallurgy, and additive manufacturing. He is an expert in materials characterization techniques such as electron microscopy and mechanical property evaluation. Notable achievements include Res-Teach Awards (2013 and 2014) for enhancing teaching through research integration. His work has led to grants including a UniSC Launch Pilot Scheme grant for bioresorbable metal implants (2023) and ARC Linkage grants for materials infrastructure (2021–2019). His publications emphasize innovations in materials processing, degradation control, and biomedical applications. Professional memberships include the Australian Research Council (ARC), Materials Australia, and Engineers Australia.
Gavin King is a Professor in the Department of Physics at the University of Missouri. His research focuses on precision single-molecule biophysics and applications of atomic force microscopy (AFM) to study membrane proteins. He developed an ultrastable AFM to investigate protein structure, energetics, and conformational dynamics in physiologically relevant conditions. Key areas include understanding how protein dynamics influence function, particularly in medically relevant systems like P-glycoprotein and Candida albicans virulence factors. Education: PhD from Harvard University. His work bridges biophysics, nanotechnology, and infectious disease, with a focus on lipid membrane interactions, peptide assembly, and drug transport mechanisms. Recent advancements include ice lithography for nanomanufacturing and machine learning-enhanced AFM data analysis. Research emphasizes membrane-active peptides, protein translocation machinery (e.g., E. coli Sec translocase), and antifungal toxin mechanisms. Collaborative efforts integrate computational modeling with experimental AFM to achieve quantitative insights at the single-molecule level. Awards: None explicitly listed in the provided text. Grants: His work is supported by initiatives in biophysics and nanotechnology. Labs/Teams: Leads the Precision Single Molecule Biophysics Group, focusing on AFM innovation and biological applications.
Augusto Luís Barros Lopes is an Assistant Professor in the Materials and Ceramic Engineering Department at the University of Aveiro since January 2009. Previously, he served as an Invited Assistant Professor at the same department (2004–2008). He holds a PhD in Materials Science and Engineering from the University of Aveiro (2001) and a Bachelor's in Ceramic and Glass Engineering (1989). He has been the Senior Technician responsible for the Electron Microscopy Service at the department (1991–2004). His research focuses on Materials Science and Engineering , with expertise in electron microscopy (SEM/TEM and EDS/PEELS) , microstructure-property relationships , and plastic deformation of materials . He teaches courses on metals, ceramics, characterization techniques, and mechanical properties. Key publications include studies on dual-phase steels, asymmetric rolling of aluminum alloys, and nanocomposite synthesis. He leads projects like EcoCerâmica (enhancing ceramics/crystal sector competitiveness) and FOCO (optimizing cabinet cooling). He advises PhD students and has collaborated internationally on materials processing and characterization. His work spans structural materials, energy-related materials, and advanced manufacturing techniques.
Tim C. Lei is an Associate Professor of Electrical Engineering at the College of Engineering, Design and Computing, University of Colorado Denver. He serves as the Principal Investigator of the Laboratory for Electronic and Neuromorphic Systems (LENS), focusing on developing novel electronic and optical systems for neuroscience research and neural disorder treatments. Research Interests: Closed-loop neural control system development and miniaturization Real-time spike sorting algorithm development Brain stereotaxic system for small animals Neural circuit modeling using spiking neural networks Optogenetic and electrical neural stimulation Brain-machine interface His lab is equipped for neural surgeries, behavioral studies, and development of biomedical instrumentation. Past work includes nonlinear microscopy techniques for kidney cell studies and non-invasive optical imaging for eye disease detection.
Mark R. Marten is a Professor and Department Chair at the University of Maryland, Baltimore County, in the College of Engineering and Information Technology, Department of Chemical, Biochemical and Environmental Engineering. He leads the Marten Lab, which focuses on understanding and manipulating microbial expression systems. Education: Ph.D. Chemical Engineering – Purdue University, 1991 M.S. Chemical Engineering – Purdue University, 1988 B.S. Chemical Engineering – State University of New York at Buffalo, 1986 Research interests center on fungal biology and biotechnology, particularly using advanced analytical tools like electron microscopy, atomic force microscopy, and proteomic analysis to study fungal cell walls and stress responses. Current projects investigate autophagy mechanisms and morphology-secretion relationships in filamentous fungi. His recent publications demonstrate a strong focus on Aspergillus nidulans cell wall stress responses, kinase signaling pathways, and mycelial material properties. Research integrates molecular biology with materials science, showing consistent themes in fungal adaptation mechanisms and biotechnological applications. Lab activities include collaborative projects on plant phenotype design, antifungal mechanisms, and nano-mechanical characterization of fungal structures.
Clint Penick is an Assistant Professor of Insect Ecology in the Department of Entomology & Plant Pathology at Auburn University's College of Agriculture. His research focuses on understanding insect ecology and behavior, particularly in urban environments, and translating biological insights into engineering solutions through biomimicry. Key areas include ant diversity patterns, climate change impacts on arthropods, and bio-inspired material design. Penick's work integrates field ecology, laboratory experiments, and computational modeling. He explores how ants adapt to urbanization, investigates antimicrobial defenses in social insects, and studies structural properties of biological materials like cactus wood and marine sponges. His research bridges entomology with engineering, contributing to advancements in robotics, meta-materials, and sustainable design. Notable projects include studying the invasive 'ManhattAnt' (Lasius emarginatus) in NYC, developing motion compensators for insect-like robots (TOLC), and analyzing form-function relationships in natural structures like the Venus flower basket. He collaborates across disciplines, involving engineers, computer scientists, and artists to apply biological principles to human challenges. Penick advises graduate and undergraduate students in his research areas, though specific advisees are not listed here. His work has been supported by various grants and collaborations, though grant details are not explicitly provided in the text. He maintains an active lab focused on ecological and applied entomology projects.
Brian Willis is a Professor in the Department of Chemical & Biomolecular Engineering at the University of Connecticut’s College of Engineering. He holds a Ph.D. from MIT (1999). His research focuses on nanoscale materials, including epitaxial oxides on semiconductors, scanning tunneling microscopy, and electrocatalysis. He leads the Willis Lab, which develops advanced fabrication techniques like atomic layer deposition (ALD) for nanoscale devices. Education: Ph.D. in Chemical Engineering, MIT, 1999. Previous positions include Assistant Professor at the University of Delaware (2002–2008) and roles at Agere Systems and Bell Labs (1999–2002). Research Interests: Epitaxial oxide growth on semiconductors, molecular electronics, plasmonic nanostructures, and electrocatalyst durability for fuel cells. His work integrates experimental methods (e.g., STM, ALD) with theoretical models to advance nanoscale device design. Awards: 2007 2nd place in Nanotech Measurement Contest (with student R. Gupta), 2005 NSF Career Award, and 1992 Dow Award. His advising includes Ph.D. students Han Wang and Xiaoqiang Jiang. Professional Activities: Coordinator for AIChE Area 8E (2010), Session Chair for multiple AIChE National Meetings (2004–2008), and member of the Materials Research Society. Labs/Teams: The Willis Lab focuses on ALD innovation, plasmonic devices, and sensor arrays. Current projects include electronic nose technology and nanoscale rectennas for energy conversion.
Ioannis Sgouralis is an Assistant Professor in the Department of Mathematics at The University of Tennessee, Knoxville. He holds a Ph.D. from Duke University and specializes in Data Science and Applied Mathematics with a focus on interdisciplinary research in Physics, Chemistry, Biology, and Medicine. His research group integrates computational methods with experimental data to address challenges in biophysics, biochemistry, and biomedicine. His educational background includes a Ph.D. in a relevant field (specific details not provided). His research interests span Bayesian nonparametrics, computational statistics, mathematical biology, and multiscale modeling. He leads projects on single-molecule biophysics, image analysis, and cardiovascular system modeling. Key research areas include: Single molecule experiments and analysis Super-resolution microscopy and multi-particle tracking Biomedical systems modeling (cardiovascular/urinary) Statistical methods for noisy experimental data Ioannis actively recruits graduate/undergraduate students for projects in Data Science, Mathematical Biology, and Applied Mathematics. His group uses advanced computing techniques such as Hamiltonian Monte Carlo and topological data analysis. Labs/Teams: Sgouralis Research Group focuses on cross-disciplinary computational methods for biological systems. Their work involves collaborations across departments and institutions.
Kwahun Lee is an Assistant Professor in the Department of Chemistry and Chemical Biology at Stevens Institute of Technology, part of the Charles V. Schaefer, Jr. School of Engineering and Science. His research focuses on developing nanoparticle-based probes for in situ imaging of biological processes and modeling biomolecular phase behaviors. He employs interdisciplinary approaches combining biochemical assays, spectroscopy, and microscopy to understand interfacial dynamics relevant to cancer immunotherapy and neurodegenerative diseases. Education : PhD (2018) in Chemistry from Indiana University Bloomington; BS (2011) in Chemistry & Chemical Education from Seoul National University. Research interests include nanoparticle synthesis, biomaterials design, and quantitative imaging techniques. His lab explores applications in targeted drug delivery and therapeutic strategies. Notable achievements include the 2021 ASEE Postdoctoral Fellowship and multiple travel awards for conference presentations. Awards : 2021 ASEE Postdoc Fellowship, 2016 Outstanding Oral Presentation Award (3rd Material Symposium), 2015 HHMI Fellowship Nomination. Prof. Lee actively mentors students and postdocs, emphasizing interdisciplinary training. He serves on institutional committees such as the SES Working Group on PhD Recruitment and the Professional Development Committee. His work bridges nanotechnology with biomedical applications, with over 20 publications in high-impact journals like JACS , Nano Letters , and ACS Nano .
Lior Sepunaru is an Associate Professor in the Department of Chemistry and Biochemistry at the University of California, Santa Barbara (UCSB), and a member of the Center of Polymers and Organic Solids. His research focuses on bioelectronics, single-entity electrochemistry, and nano-electrochemistry, with applications in enzyme catalysis, biosensor development, and liquid-liquid phase separation phenomena. He completed his postdoctoral studies at the University of Oxford and earned his Ph.D. from the Weizmann Institute of Science. Education: Ph.D., Weizmann Institute of Science (2014) Marie Curie Research Fellowship, University of Oxford Research interests include: Electrochemical analysis of biological droplets (coacervates) and their role in protocell-like systems Single-molecule electrocatalysis and nano-scale energy conversion mechanisms Biomolecule-mediated nanoparticle synthesis and characterization Electrochemical correlative microscopy for reaction dynamics Publications highlight advancements in electrochemical sensing, catalysis, and bio-inspired materials. His lab employs cutting-edge techniques such as liquid-cell TEM and impedimetric spectroscopy to bridge macroscopic and single-entity electrochemical phenomena. Advising and grants: Guides over 20 graduate students and postdocs in interdisciplinary projects Collaborates with groups in materials science, chemical engineering, and biomolecular science Labs/Teams: Director of the Electrochemistry Lab at UCSB, specializing in bioelectrochemistry and nanoelectrochemical systems.
Joel E. Cohen is the Abby Rockefeller Mauzé Professor at The Rockefeller University, where he leads the Laboratory of Populations. With over five decades of research experience, Cohen has pioneered innovative mathematical approaches to study biological populations and variability. His work bridges mathematics, biology, and environmental science, fundamentally changing how scientists understand population dynamics and the significance of biological variability. Dr. Cohen's research focuses on developing new mathematical tools to address population problems in demography, epidemiology, and ecology. He has made seminal contributions to the understanding of heavy-tailed distributions that describe extreme events like hurricanes and disease outbreaks, challenging traditional statistical approaches. His laboratory has conducted groundbreaking research on the spatial distribution of human populations in relation to geophysical factors, with unexpected practical applications ranging from soap formulation to semiconductor manufacturing. Cohen has also developed mathematical models for Chagas disease control in rural Argentina and created algorithms to predict international migration patterns. Analysis of Cohen's recent publications reveals a sustained focus on Taylor's law of fluctuation scaling, population dynamics, and ecological statistics. His work consistently demonstrates how abstract mathematical concepts can transform our understanding of biological systems, from cellular processes to global population trends. The research spans theoretical mathematics to practical applications in disease control, conservation biology, and environmental management. Olivia Schieffelin Nordberg Prize for excellence in writing in the population sciences (March 1997) Gheorghe Lazar Prize of Romanian Academy (December 2000) As director of the Laboratory of Populations, Cohen has led research on human population growth, infectious diseases, food webs, and international migration. His methods for assessing the uncertainty of population projections have been applied in court cases for predicting future claimants of asbestos-related diseases. Cohen's laboratory has collaborated with the United Nations Population Division on migration studies and developed mathematical models that account for more than half of the variability in annual migration numbers among 229 countries. Current research directions include understanding how demographic, economic, and cultural changes interact with Earth's physical, chemical, and biological environments. The Laboratory of Populations employs a multidisciplinary approach that combines mathematical modeling, statistical analysis, and field studies to address complex population issues. Their work exemplifies how basic quantitative research on populations frequently yields unexpected practical applications, demonstrating the profound connections between theoretical mathematics and real-world challenges in public health, environmental science, and resource management.
Farzan Kazemifar is an Associate Professor and Associate Chair in the Department of Mechanical Engineering at San José State University, where he also serves as Director of the SJSU Industrial Assessment Center. His academic background includes a Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign, an M.Sc. in Mechanical Engineering from the same institution, and a B.Sc. in Mechanical Engineering from Sharif University of Technology. Dr. Kazemifar's research focuses on thermal energy systems and energy efficiency in buildings, with specialized expertise in multiphase flow, porous media dynamics, and carbon capture technologies. His work integrates experimental methods with theoretical modeling to address challenges in sustainable energy and environmental applications. His 15 most recent publications demonstrate a consistent focus on fluid dynamics in porous media, particularly examining CO2-water interactions for carbon sequestration applications. These studies utilize advanced micro-PIV techniques to quantify flow phenomena at pore scales, contributing to improved understanding of multiphase flow regimes under reservoir conditions. Dr. Kazemifar directs the Industrial Assessment Center, which focuses on energy efficiency solutions for industrial applications. No information is available regarding student advising, research grants, or specific laboratory facilities.
Dr. Saptarshi Sengupta is an Assistant Professor in the Department of Computer Science at San José State University (SJSU), leading the Machine Intelligence and Complex Systems (MICoSys) Lab. He advises the ACM student club at SJSU and holds a 'Alien of Extraordinary Ability' visa (Einstein Visa) from USCIS. His work focuses on resilient cyber-physical systems, risk analysis, and deep learning applications in healthcare and industrial systems. Education: Ph.D. in Electrical Engineering, Vanderbilt University M.S. in Electrical Engineering, Vanderbilt University B.Tech. in Electronics & Communication Engineering, West Bengal University of Technology Research Interests: Cyber-Physical Systems Security Healthcare AI for Cancer and Chronic Disease Prediction Battery Prognostics and Energy Systems Machine Learning for Complex Systems Analysis Key Achievements: Dr. T.M.A. Pai Gold Medal Award for Healthcare AI contributions Recipient of multiple best paper awards at international conferences Author of over 30 peer-reviewed publications Labs & Teams: Leads the MICoSys Lab, developing AI solutions for healthcare diagnostics, industrial prognostics, and smart infrastructure systems. Collaborations include interdisciplinary projects with biomedical and engineering domains.
