Ferran Garcia-Pichel is a Regents Professor and Center Director at Arizona State University’s School of Life Sciences, affiliated with the Biodesign Center for Fundamental & Applied Microbiomics, Center for Biodiversity Outcomes, Water Institute, and Global Drylands Center. He holds a PhD in Microbiology from the University of Oregon (1999) and has been a faculty member at ASU since 1999. His research focuses on microbial adaptations in arid environments, including biogeochemical cycling, soil crust formation, and sustainable land restoration. Key interests include cyanobacterial sunscreen compounds (scytonemin), carbonate dissolution mechanisms, and hydrogen production. Teaching responsibilities include advanced microbiology, microbial ecology, and geomicrobiology courses such as MBB 495 Undergraduate Research and BIO 493 Honors Thesis. Awards span from the 2021 Regents Professor distinction to the 2023 Sperry Award for restoration science. His lab explores interdisciplinary approaches to study microbial communities in desert soils, marine intertidals, and atmospheric dust, with applications in climate resilience and biomedicine. Research highlights include biocrust restoration strategies, microbial nitrogen fixation networks, and the role of GABA/Glu signaling in spatial organization. Collaborations address global challenges like fugitive dust mitigation and carbon sequestration. The lab is based at the Biodesign Building B on ASU’s Tempe campus.
Amin Barari is an Adjunct Professor at the School of Engineering, RMIT University, Australia. His research focuses on geotechnical and offshore engineering, particularly in foundation systems for offshore wind turbines, soil-structure interaction, and seismic liquefaction mitigation. He has extensive experience in experimental and numerical analysis of pile foundations, bucket foundations, and caisson structures. His work integrates advanced computational methods (e.g., machine learning, finite element modeling) to predict foundation behavior under extreme conditions. Research interests include: offshore wind energy foundations, soil liquefaction, cyclic stability diagrams, and probabilistic hazard assessment frameworks. He has supervised multiple PhD/Masters projects on topics like resilient foundations in calcareous deposits and pile foundation dynamics in expansive soils. His publications span over 147 research outputs, emphasizing geotechnical challenges in coastal and offshore environments. Dr. Barari collaborates with international institutions and has expertise in experimental testing (e.g., large-scale load testing, centrifuge modeling) and advanced AI-driven frameworks for geohazard prediction. His work contributes to sustainable infrastructure design and risk mitigation strategies for renewable energy systems.
Rhett C. Smith is a Professor of Chemistry at Clemson University, leading a research group dedicated to sustainable materials innovation since 2006. His work focuses on transforming industrial waste streams into high-performance composites through green chemistry approaches. His academic background includes: B.S. in Chemistry from the University of Toledo Ph.D. in Chemistry from Case Western Reserve University NIH Postdoctoral Fellowship at MIT Professor Smith's research pioneers waste valorization using elemental sulfur and biomass derivatives. Key areas include: Upcycling mixed plastic and food waste into structural materials Developing sulfur-based polymers for sustainable construction Creating circular economy solutions for agricultural byproducts His group's work bridges fundamental chemistry with commercial applications in South Carolina's industrial sector. Recent publications reveal a strong trend toward atom-economical processes using waste sulfur and biomass. The research emphasizes scalable technologies for plastic recycling and sustainable cement alternatives, with increasing focus on food waste upcycling and flame-retardant composites. Major recognitions include: National Merit Scholar and NIH Postdoctoral Fellowship Two-time InnoVision Award Finalist (2024 Sustainability category) Fats and Proteins Research Foundation Innovate Award Fred Bisplingoff Research Innovation Award Professor Smith has mentored over a dozen Ph.D. students to successful careers in national labs and industry. His group secured seven major grants in Spring 2024 from NSF, USDA, and industry partners to advance sustainable materials for structural applications. Current projects focus on upcycling post-consumer waste streams and developing carbon-negative building materials. The Smith Research Group operates as a collaborative hub within Clemson's chemistry department, recently expanding to include four faculty co-leaders (Tennyson, Ashlyn Smith, and Sauceda). The team maintains strong industry partnerships while promoting academic accessibility through open educational resources.
Dr. Seung-gu Lee is a Principal Scientist and Director of the Synthetic Biology Institute at the Korea Research Institute of Bioscience and Biotechnology (KRIBB). He holds a Ph.D. in Biotechnology from KAIST and serves as the President of the Korean Society of Enzyme Engineering. His leadership extends to multiple national research initiatives focused on advancing synthetic biology infrastructure and applications. Dr. Lee is a leading expert in genetic circuits and enzyme engineering for synthetic biology. He pioneered the development of GESS (Genic Enzyme Screening System/Circuits) technology, which enables ultra-high-speed screening of trace enzyme activities at the single-cell level. His research focuses on applying intelligent genetic circuits to biosensors, metabolic control, and bioprocess development. He is actively integrating AI-based automated workflows with synthetic biology to revolutionize the speed and scale of biological research. His work spans multiple disciplines including enzyme engineering, genetic circuit design, metabolic engineering, and biofoundry development. Dr. Lee currently leads several major research initiatives including the Korea-North America Biofoundry Collaboration Global Joint Research Center, the development of core technologies for advanced synthetic biology, and the establishment of biofoundry infrastructure. His research team at KRIBB works at the intersection of synthetic biology, enzyme engineering, and AI-based automation to develop next-generation bio-manufacturing platforms. The lab has made significant contributions to genetic circuit design, biosensor development, and plastic biodegradation technologies.
Julie M. Goddard is a Professor of Food Science at Cornell University , affiliated with the College of Agriculture and Life Sciences and the Department of Food Science . Her research focuses on Biomaterials and Biointerfaces , with emphasis on food quality, safety, and sustainability. She leads the Goddard Research Group, which develops innovative polymeric materials and coatings for food packaging, bioprocessing, and equipment. Key projects include antimicrobial/nonfouling coatings, biocatalytic materials, and active packaging to reduce synthetic additives and food waste. Dr. Goddard holds a Bachelor of Science (1999) and Ph.D. (2008) in Food Science from Cornell University. Her work is supported by grants from USDA NIFA, NIH, NSF, and FFAR. Notable awards include the National Excellence in Multistate Research Award (2019) , APLU Junior Moulton Medal (2015) , and Institute of Food Technologists Young Scientist Award (2013) . Her research spans nonmigratory active packaging (e.g., antioxidant, antimicrobial films), biofilm inhibition , and enzyme immobilization . Recent articles highlight advancements in PETase engineering for microplastic degradation and optimization of curcumin-grafted biodegradable materials. She collaborates across disciplines, including materials science, chemical engineering, and microbiology. Labs/Teams: The Goddard Group operates in Stocking Hall, Cornell. Projects include biocatalytic packaging , hydrogen sulfide formation in canned beverages , and consumer acceptance of novel food technologies . Key grants fund exploration of bio-based materials and food safety innovations.
Irina Rish is a Full Professor at the Université de Montréal and a core academic member of Mila – Quebec Artificial Intelligence Institute, where she leads the Autonomous AI Lab. She holds a Canada Excellence Research Chair (CERC) and a CIFAR AI Chair, reflecting her leadership in foundational AI research. Her work is supported by major initiatives, including the U.S. Department of Energy’s INCITE project on Summit and Frontier supercomputers. PhD in AI, University of California, Irvine MSc in AI, University of California, Irvine MSc in Applied Mathematics, Moscow Gubkin Institute Her research focuses on machine learning, neural scaling laws, emergent behaviors in foundation models, continual learning, robustness, and neuroscience-inspired AI . She explores how AI systems can become more general, flexible, and aligned with human cognition. Her recent work investigates training dynamics in large language models, efficient pruning techniques, and the development of time-series foundation models. The analysis of her recent publications reveals a strong focus on scaling behaviors, continual adaptation, and robustness in AI systems . Her work spans theoretical understanding of training dynamics (e.g., zero-sum learning), practical optimization methods, and applications in climate modeling and mental health. She emphasizes open science, leading open-source projects and co-founding Nolano.ai to build efficient, compressed foundation models. Canada Excellence Research Chair (CERC) CIFAR AI Chair IBM Eminence & Excellence Award (2018) IBM Outstanding Innovation Award (2018) IBM Outstanding Technical Achievement Award (2017) IBM Research Accomplishment Award (2009) Irina Rish advises a large group of PhD and Master’s students across Université de Montréal, McGill, and Concordia. She leads major research grants and collaborates internationally on HPC-based AI research. She is also the co-founder and CSO of Nolano.ai, driving innovation in efficient AI systems. She leads the Autonomous AI Lab, which focuses on building large-scale foundation models, understanding neural scaling laws, and developing bio-inspired learning systems. She actively organizes reading groups on scaling, continual learning, and out-of-distribution generalization, fostering a collaborative research environment.
Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing. Key research interests include: Spiking Neural Networks with predictive coding and multi-compartment models Biologically Plausible Learning in recurrent and deep architectures Working Memory modeling via reinforcement learning Neuromorphic Computing for real-time systems and GPU acceleration His recent publications highlight trends in neural adaptation , predictive coding , and SNN hardware-software co-design . Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013) . He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).
Kalaichelvi Saravanamuttu is an Associate Dean in the Faculty of Science and a Professor in the Department of Chemistry and Chemical Biology at McMaster University. Her research focuses on optochemical self-organization in soft materials, nonlinear optics, and photonics, with applications in light capture, waveguide architectures, and all-optical computing. She holds a PhD in Chemistry from McGill University (2001) and conducted postdoctoral research at the University of Oxford (2001-2003). Her work combines polymer chemistry, photochemistry, and optical physics to develop functional materials like photoresponsive hydrogels and waveguide-encoded lattices. Key research themes include light-induced structural changes in soft matter, dynamic optical systems, and bio-inspired optical devices. Teaching includes courses on equity in science (SCIENCE 2AR3/4AR6) and advanced materials (CHEM 4W03). She has received funding from NSERC, the Canadian Foundation for Innovation, and the US Army Research Office. Her research group collaborates widely, with recent studies exploring electroactive hydrogels and switchable self-trapped light beams.
Prof. Michael Sander is a Lecturer at ETH Zurich's Department of Environmental Systems Science, specializing in environmental organic chemistry and polymer biodegradation. His research focuses on understanding the environmental fate of synthetic polymers, soil organic matter dynamics, and microplastic contamination. He teaches courses such as 'Introduction to Environmental Organic Chemistry' and contributes to interdisciplinary studies on sustainable materials and climate change impacts. Key research areas include polymer degradation mechanisms, redox properties of peat, and the design of biodegradable agricultural materials. His work integrates analytical chemistry, biogeochemistry, and environmental engineering to address global challenges like plastic pollution and soil health. He has published extensively on topics such as microplastic analysis in soils, biodegradation pathways of polyesters, and the redox cycling of peat organic matter. Collaborative projects involve developing sustainable polymer alternatives and assessing their environmental compatibility. Sander's research emphasizes practical solutions for reducing plastic waste and enhancing soil resilience.
Benyamin Davaji serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he joined in January 2022. He holds additional appointments as a Center Member of The Plastics Center and Core Faculty of the Institute for NanoSystems Innovation (NanoSI). His work bridges microsystems engineering, nanofabrication, and data science to develop next-generation sensing technologies. Dr. Davaji's educational background includes: Postdoctoral Associate in Electrical and Computer Engineering at Cornell University (2016-2021) Ph.D. in Electrical Engineering from Marquette University (2016) His research centers on integrated microsystems with emphasis on mechanical wave-based sensing and computation, ultrasound transducers, bio-interfaces, and microcalorimetry. The Autonomous Integrated Microsystems (AIMS) Laboratory combines physics with AI/ML to invent novel sensors and computational devices through advanced nanofabrication. Key thrusts include power-sustaining architectures and analog/digital computational integration. Recent publications (2024-2025) reveal strong trends in MEMS/NEMS optimization using digital twins, plasmonically enhanced infrared detection, ferroelectric actuators for high-speed scanning, and ultrasound-enabled metrology. His work increasingly integrates machine learning for design automation and process optimization across semiconductor manufacturing and flexible hybrid electronics. Dr. Davaji advises graduate students including Yilmaz Arin Manav (PhD'28), who won the FLEX 2024 Future Student Poster Award. He has secured over $3 million in competitive funding as PI/Co-PI, including a $550k NSF grant for MEMS actuators, $330k NSF grant for quantum detectors, and $2M DARPA grant for inertial sensors. He directs the interdisciplinary AIMS Laboratory focused on MEMS, ultrasound, and calorimetric technologies. The lab collaborates extensively with NanoSI and The Plastics Center, developing autonomous microsystems for biomedical, environmental, and industrial applications through advanced manufacturing techniques.
Tomasz Majka serves as a Lecturer at the Department of Polymer Chemistry and Technology within the Faculty of Chemical Engineering and Technology at Tadeusz Kościuszko Cracow University of Technology. His academic career spans over a decade with continuous research and teaching activities focused on polymer engineering and materials science. His educational background includes a Licentiate in Applied Chemistry (2008) and Pedagogical Preparation (2008) from State Higher Vocational School in Tarnów, followed by MSc in Plastics Technology (2010) and Dr. Eng. in Technical Sciences (2015) from Tadeusz Kościuszko Cracow University of Technology. Majka's research primarily centers on polymer processing technologies , with special emphasis on thermal analysis and flammability of polymer materials , nanocomposite development , and terminal ballistics . His work bridges fundamental polymer science with practical industrial applications, particularly in developing sustainable flame retardant systems using biobased materials like lignosulfonamides. Recent publications reveal a strong focus on circular economy approaches through polymer recycling and biodegradable material development. His scientific contributions demonstrate consistent output in high-impact journals, with a notable shift toward sustainable polymer solutions since 2020, particularly in biodegradable composites and recycling technologies. The 15 most recent publications show expertise spanning flame retardancy mechanisms, nanocomposite engineering, and sustainable polymer processing. III place at International Session of WIiTCh Krakow University of Technology Science Clubs (2010) Award in 'Sustainable Development - Scientific Debut 2010' competition (2010) Award in 'Poster about famous scientist - Norio Taniguchi' competition (2011) II Prize in B-Innovative 'Be Entrepreneurial' business plan competition (2013) Majka actively supervises the Ballistic and Flammability Research Section within WIiTCH PK Chemistry Research Club and maintains strong industry connections through numerous industrial research projects. His professional engagements include international research stays at University of Bolton (UK) and Academy of Sciences of the Czech Republic, focusing on fire testing and polymer materials innovation. He serves as a scientific advisor for several industrial projects related to polymer processing and material safety. His laboratory work spans multiple specialized facilities including thermal analysis equipment, scanning electron microscopy, and polymer processing machinery. Current research directions include developing halogen-free flame retardants from lignin derivatives, optimizing biodegradable polymer composites, and advancing recycling technologies for post-consumer plastics.
Peter A. Tass is a Professor of Neurosurgery at Stanford University's School of Medicine, where he leads the Tass Lab within the Department of Neurosurgery. His research focuses on developing groundbreaking neuromodulation techniques designed to impact the course of neurological diseases including Parkinson's disease, stroke, epilepsy, and tinnitus. The Tass Lab is part of several prestigious Stanford initiatives including Bio-X, the Wu Tsai Human Performance Alliance, the Maternal & Child Health Research Institute (MCHRI), and the Wu Tsai Neurosciences Institute. MD from Universities of Ulm and Heidelberg, Germany (1989) PhD in Physics from University of Stuttgart, Germany (1993) Diploma (master's degree) in Mathematics from University of Stuttgart, Germany (1993) Habilitation thesis in Physiology from RWTH Aachen University, Aachen, Germany (2001) Dr. Tass's primary research interests center around computational neuroscience approaches to understanding and treating neurological disorders. His lab pioneers neuromodulation techniques based on thorough computational modeling that employs dynamic self-organization, plasticity, and other neuromodulation principles to produce sustained therapeutic effects after stimulation. He specifically focuses on developing stimulation methods that cause sustained neural desynchronization by unlearning abnormal synaptic interactions. His work spans both invasive techniques like deep brain stimulation and non-invasive approaches such as vibrotactile and acoustic stimulation. Current projects involve developing novel therapies for Parkinson's disease, epilepsy, tinnitus, and other neurological conditions using comprehensive computational neuroscience methods derived from non-linear dynamics, statistical physics, and numerics. Analysis of Dr. Tass's recent publications reveals a strong focus on coordinated reset stimulation techniques, neural network modeling with plasticity mechanisms, and computational approaches to brain stimulation. His work consistently bridges theoretical computational neuroscience with clinical applications, particularly for Parkinson's disease treatment. A significant portion of his recent research examines how stimulation parameters, sequences, and timing affect long-lasting desynchronization effects in neural networks. His publications demonstrate an interdisciplinary approach combining physics, mathematics, neuroscience, and clinical medicine to develop novel therapeutic interventions. Member of the European Academy of Sciences and Arts (2012) Nicolaus August Otto Innovation Prize (2011) German Innovation Award in Medicine (2011) Rapid Response Innovation Awards from The Michael J. Fox Foundation (2009, 2010) Runner-up for the German future prize (2006) Erwin Schrödinger prize (2005) Fritz Winter prize (2000) Dr. Tass actively mentors a diverse team of researchers including staff scientists, postdoctoral fellows, clinician-scientists, and students. His lab currently includes researchers with backgrounds in physics, computational neuroscience, biomedical engineering, and clinical neurology. The lab is involved in multiple clinical trials, including studies on coordinated reset spinal cord stimulation and vibrotactile coordinated reset stimulation for Parkinson's disease. His research is supported by various funding sources including foundations focused on neurological disorders and innovation in medical technology. Dr. Tass collaborates extensively with both internal Stanford researchers and external collaborators worldwide. The Tass Lab at Stanford is a multidisciplinary research group comprising physicists, neuroscientists, engineers, and clinicians working together to develop novel neuromodulation therapies. The lab team includes staff scientists like Justus Kromer (theoretical physicist), postdocs like Daniel Ehrens and Kanishk Chauhan, clinician-scientists like Tina Munjal, and clinical research coordinators. The lab maintains active collaborations with Stanford colleagues across departments including Kwabena Boahen, Vivek P. Buch, and Jaimie Henderson, as well as external collaborators like Alexander Neiman and Kęstutis Pyragas. Current research directions include developing non-invasive vibrotactile treatments for Parkinson's disease, acoustic coordinated reset therapy for tinnitus, and responsive deep brain stimulation for conditions like loss-of-control eating.
Prof. Dr. Roland Zengerle serves as Full Professor for Application Development at the Institute of Microsystems Technology within the Faculty of Engineering at Albert Ludwigs University of Freiburg, concurrently holding the position of Director at Hahn-Schickard Institute for Microanalysis Systems in Freiburg. His academic leadership spans microsystems engineering with a focus on translational research bridging fundamental science and clinical applications. Zengerle's research expertise centers on Microfluidics, Lab-on-a-Chip systems, Bio-MEMS, Electrochemical Energy Systems, and Tomographic Reconstruction of Mesoporous Materials. He pioneers hybrid manufacturing techniques integrating molten metal printing with polymer processing to develop point-of-care diagnostic platforms and advanced energy systems. Current projects include UTI-Diag for urinary tract infection diagnosis and PhotonMed, a 32-million-euro medical technology initiative where his MEMS Applications Laboratory develops centrifugal microfluidic solutions. Analysis of his recent publications reveals a dominant trend toward multi-technology integration: centrifugal microfluidics combined with 3D bioprinting for organoid-based drug testing, molten metal printing for flexible electronics, and bead-based immunoassays for infectious disease detection. The work demonstrates strong clinical translation focus, particularly in cancer diagnostics (circulating tumor cell isolation), infectious disease testing (TB diagnostics), and regenerative medicine (spheroid/organoid handling). His laboratory has secured significant funding for high-impact projects including: UTI-Diag: Molecular diagnostics for urinary tract infections PhotonMed: Medical technology innovation consortium livMatS: Living, Adaptive and Energy-autonomous Materials Systems Zengerle actively mentors researchers through Freiburg's Master Lab program and Writer's Studio initiative while promoting young talent via Bootcamp training. His group maintains strategic alliances with Hahn-Schickard spin-offs and industry partners, leveraging university cleanroom facilities and specialized service centers for microfabrication. The MEMS Applications Laboratory operates as a hub for interdisciplinary innovation, combining microfabrication expertise with clinical insights to develop commercializable diagnostic solutions. Current infrastructure supports centrifugal microfluidic cartridge development, 3D-bioprinting of tissue models, and electrochemical sensor integration, with ongoing work focused on automating complex biological workflows for point-of-care applications.
Alireza Ramezani is an Associate Professor of Electrical and Computer Engineering at Northeastern University, leading the SiliconSynapse Lab. He focuses on bio-inspired robotics, nonlinear systems, and robot locomotion, with a particular emphasis on morphological design and control inspired by biological systems. His work integrates control theory and experimental robotics to develop robots capable of navigating confined spaces, such as caves and ducts, using mechanisms derived from bat movements. Education : PhD, Mechanical Engineering, University of Michigan (2014) MS, Mechanical Engineering, ETH Zurich (2010) BSc, Mechanical Engineering, Iran University of Science and Technology (2007) Research Interests : Design of robots with non-traditional morphologies Nonlinear feedback control systems Legged and fluidic-based locomotion Bio-inspired robotics and biology-driven engineering Awards : 2024 ASME Rising Star Award 2024 NSF CAREER Award 2022 NASA Game Changing Program Award Science Magazine Top 5% Research Output (2020) Advising & Labs : Ramezani mentors students in projects like the NASA-funded “Crater Observing Bio-inspired Rolling Articulator” and oversees the SiliconSynapse Lab, which develops robots for space exploration and confined environments. Notable advisees include Henry Noyes, a NASA Space Technology Fellow. Labs/Teams : His lab collaborates with institutions like NASA’s Jet Propulsion Lab (JPL) on projects such as the Mars Multi-modal Morphing (M4) Rover and bio-inspired snake robots for lunar crater exploration.
Md Sakib Hasan is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Mississippi. He holds a Ph.D. in Electrical Engineering from the University of Tennessee-Knoxville (2017). His research focuses on hardware acceleration, neuromorphic computing, and memristor-based systems. Research interests span: AI hardware accelerators and energy-efficient computing Biomimetic systems and bio-inspired electronics Hardware security through chaotic systems and PUFs Recent publications demonstrate strong emphasis on: Neuromorphic architectures for computer vision and temporal processing Biomembrane-based computing systems Chaotic cryptography and secure hardware design
