Dr. hab. Artur Dąbrowski is a Professor at the Department of Machine Dynamics - Division of Dynamics, Lodz University of Technology, Poland. His research focuses on Nonlinear Dynamics , Chaos Theory , and Mechanical Engineering , with a particular emphasis on Lyapunov exponent estimation, synchronization in chaotic systems, and control optimization. Key research areas include: Nonlinear Dynamics and Chaos Quantification Control Theory and Optimization Mechanical Systems and Oscillators Lyapunov Exponent Algorithms Surface Micro-Geometry in Bearings Vehicle Crashworthiness and Energy Flow His publications reveal a consistent focus on analyzing complex systems with reduced data, developing novel methods for chaos detection, and applying these insights to mechanical engineering challenges.
Neville Sanjana is an Associate Professor at the Department of Neuroscience , NYU Grossman School of Medicine , with a joint affiliation at the New York Genome Center . His academic journey began with a PhD at Massachusetts Institute of Technology . Research Interests in genome engineering, CRISPR technology, and functional genomics focus on: Dissecting noncoding genomic elements across cancers Developing high-throughput CRISPR screening methods Engineering therapies for neurological and genetic diseases Understanding transcriptional regulation in neuronal differentiation Recent Articles span cancer genomics, synthetic biology, and CRISPR-based diagnostics, with a thematic emphasis on: Drug resistance mechanisms in melanoma Noncoding element function in disease Advancements in base and prime editing Applications in immunotherapy and hemoglobin disorders Scientific Honors : NIH Director's New Innovator Award Sidney Kimmel Scholars Program DARPA Young Faculty Award Simons Foundation Autism Research Initiative Melanoma Research Alliance Young Investigator Award Teaching : In Spring 2022, he taught Special Topics: Genome Engineering (BIOL-UA 920) at NYU Biology, covering CRISPR evolution, gene therapies, and ethical implications of genome editing. Lab Operations : The Sanjana Lab operates from two locations - NY Genome Center (101 Avenue of the Americas, 4th floor, New York, NY 10013) and NYU Biology (755 Brown, 100 Washington Sq East, New York, NY 10003).
Karim Fouad is a Professor in the Department of Physical Therapy within the Faculty of Rehabilitation Medicine at the University of Alberta. He has held this position since 2008 and previously served as Associate and Assistant Professor. He currently serves as Co-Director of the Open Data Commons for Spinal Cord Injury (2018-present) and was Canada Research Chair for Spinal Cord Injury (Tier 1) from 2016-2023. Dr. Fouad's educational background includes: Ph.D. in Neuroscience from the University of Konstanz, Germany (1991-1995) Diploma in Biology from the University of Konstanz, Germany (1986-1991) His research focuses on promoting functional recovery after spinal cord injury through two primary strategies: enhancing injury-induced neural plasticity and promoting axon regeneration by targeting regeneration-restricting factors. His laboratory employs diverse methodologies including histological examinations, behavioral testing, kinematic analysis, and electrophysiological recordings to investigate repair mechanisms in the central nervous system. Analysis of his recent publications (2017-2020) reveals consistent emphasis on spinal cord injury mechanisms and interventions, with growing interdisciplinary integration spanning neuroscience, rehabilitation engineering, and data science. Key trends include gut-brain axis interactions in SCI, cortical stimulation techniques for motor recovery, and development of open-data frameworks to accelerate preclinical research translation. Dr. Fouad has received several prestigious awards: Canada Research Chair (Tier 1) for Spinal Cord Injury (2016-2023) Alberta Heritage Foundation for Medical Research Senior Scholar (2007-2014) Alberta Heritage Foundation for Medical Research Scholar (2001-2007) As a graduate supervisor, he mentors students in rehabilitation medicine while leading a robust research program funded by major agencies including CIHR, NIH, and Heart and Stroke Foundation. His collaborative projects include international initiatives with Wings for Life and Conquer Paralysis Now, focusing on combinatorial therapies for neural repair. Dr. Fouad directs a comprehensive research facility equipped for tissue culture, histology, fluorescence microscopy, and physiological experiments. His leadership extends to the Open Data Commons for Spinal Cord Injury, which standardizes preclinical data sharing, and he previously co-directed the Neuroscience and Mental Health Institute (2015-2017), fostering cross-disciplinary spinal cord research.
Dr. Robert Prucka holds the Alan Kulwicki Professorship in Motorsports Engineering at Clemson University's Department of Automotive Engineering. His research focuses on artificial intelligence and optimal control strategies for electrified powertrains in autonomous off-road vehicles, along with novel low-emission internal combustion engines. As director of the Deep Orange vehicle-prototyping program, Dr. Prucka leads student teams designing high-performance vehicles including autonomous race cars and hybrid electric rallycross vehicles. He earned his Ph.D. in Mechanical Engineering from the University of Michigan (2008). Research publications demonstrate strong focus on advanced engine control strategies, particularly spark-assisted compression ignition systems and opposed-piston architectures. Recent work integrates electrification solutions with combustion optimization. Honors include: SAE Ralph R. Teetor Educational Award (2017) Murray Stokely Award for Excellence in Teaching (2015) Professional activities include membership in SAE Combustion Committee, Specialty Equipment Market Association Emerging Trends committee, and associate editorship for the International Journal of Powertrains.
Dr. Tom Maden-Wilkinson is a Senior Research Fellow at Sheffield Hallam University, affiliated with the School of Sport and Physical Activity and the Health Research Institute. His work bridges skeletal muscle physiology research between elite sports performance and clinical musculoskeletal health, focusing on muscle strength, function, and resilience. He collaborates with organizations such as Sheffield Teaching Hospitals, Canon Medical Systems, and the Chartered Society of Physiotherapy. His research has two key strands: Clinical Musculoskeletal Health: Promoting resistance training in older adults and those with long-term conditions (e.g., Stroke, Arthritis, Long COVID). Co-creator of the Strength4Life community program, addressing gaps in strength training for over-55s and improving practitioner knowledge. Active in national falls prevention initiatives. Elite Sport: Investigates muscle architecture, injury risk (e.g., hamstring strains), and performance optimization using imaging techniques like MRI, pQCT, and ultrasound. Collaborates with elite sports organizations such as British Cycling, Lawn Tennis Association, and the Royal Dutch Cycling Federation. Teaching includes modules on Exercise and Health, Physiology for Sports Performance, and Research Projects across undergraduate and postgraduate courses in Sport and Exercise Science. He supervises PhD students in muscle physiology, aging, and long-term conditions. Current projects include developing rehabilitation protocols for Long COVID patients and stroke survivors using Canon Medical Systems’ ultrasound technology. He also leads initiatives to improve physical activity during lockdowns and co-founded the Virtual Clinic for Long COVID in underserved communities.
Chioma Wodu is an active Researcher in Biomedical Engineering specializing in stroke rehabilitation and assistive technology development. Her work addresses critical gaps in early-stage upper limb recovery and advocates for inclusive design methodologies involving stroke survivors directly in the innovation process. Holding a Doctor of Philosophy degree, Wodu's research integrates Rehabilitation Engineering, Stroke Rehabilitation, and Assistive Technology with a strong emphasis on qualitative methodologies. She investigates systemic barriers in clinical practice while pioneering user-centered frameworks to transform rehabilitation technology development, as evidenced by her focus on spasticity management and cerebrovascular accident recovery pathways. Analysis of her recent publications reveals two dominant trends: (1) rigorous qualitative exploration of underutilized early rehabilitation protocols using thematic analysis and observational studies, and (2) development of participatory co-creation models that prioritize accessibility and end-user input in technology design. Her work bridges clinical practice gaps with engineering solutions, particularly in neurorehabilitation contexts. Wodu actively engages with the academic community through conference presentations, including BioMedEng23 (September 2023), and maintains scholarly visibility through ORCID (0000-0002-4128-1051) and Scopus indexing. Her research demonstrates significant real-world impact with multiple Scopus citations and substantial Mendeley readership.
Kenneth L. Cummins serves as a Research Professor in the Department of Aerospace, Physics and Space Sciences at Florida Institute of Technology and a Research Associate in Hydrology and Atmospheric Sciences at the University of Arizona. His expertise centers on atmospheric electricity research, utilizing advanced instrumentation including high-speed video systems, lightning location networks, and satellite sensors for comprehensive lightning studies. He earned a PhD in Electrical Engineering from Stanford University (1978), specializing in digital and statistical signal processing and physiological modeling. This foundation enabled his transition into atmospheric physics instrumentation and data analysis. Dr. Cummins' research focuses on two interconnected domains: (1) lightning physics phenomenology, examining cloud-to-ground behavior differences over land/ocean, upward leader dynamics, terrain effects on strike location, and quasi-static electric field evolution; and (2) remote-sensing validation, particularly cross-calibrating GOES Geostationary Lightning Mappers with ground-based networks like NLDN. His methodologies integrate tower measurements, electromagnetic field sensors, and multi-platform observations to capture microsecond-scale processes. Recent publication trends reveal strong emphasis on satellite-based lightning observations for climate monitoring, with significant work on GLM performance validation, mega-electromagnetic pulses from extreme currents, and high-resolution terrain-lightning interaction mapping. His research directly supports National Climate Assessments and lightning safety applications. He has made substantial contributions to lightning detection network evaluation, space launch safety criteria development, and infrastructure protection standards, particularly for Smart Grids and national park lightning risk management. His work bridges fundamental atmospheric physics with practical meteorological applications.
Dr. Aida Brankovic serves as a Research Scientist at CSIRO Australian e-Health Research Centre and holds an Adjunct Research Fellow position at The University of Queensland. Her work integrates mathematical modelling, complex algorithms, and artificial intelligence to develop medical devices and decision support tools that enhance healthcare delivery and patient outcomes. Education: PhD in Information Technology (Nonlinear identification, Machine Learning) from Polytechnic University of Milan Master of Electrical Engineering from University of Sarajevo, Faculty of Electrical Engineering Bachelor of Electrical Engineering from University of Sarajevo, Faculty of Electrical Engineering Research Focus: Dr. Brankovic specializes in nonlinear model identification , randomized algorithms , and AI-powered real-time decision systems , with particular emphasis on explainable & responsible AI for healthcare applications. Her research bridges engineering principles with clinical needs to create accessible diagnostic solutions. Scientific Recognition: WiT Future Tech Star Award (2025) Springer Nature Editor of Distinction Award 2025 (Editorial Contribution Award) Science and Engineering Excellence Award - Neurodevelopment and Plasticity Team (2024) ANZCA Innovation and Technology Research Award (2023) MedInfo 2023 Best Paper Award for XAI reliability research Advance Queensland Research Fellowship (2020) Professional Impact: As chief inventor of two licensed US patents for a microwave-based stroke detection scanner, Dr. Brankovic has driven technology through clinical trials to advanced prototype development. Her editorial role at Nature Scientific Reports and program committee work for PRICAI conferences demonstrate leadership in AI research integrity and dissemination. Collaborative Initiatives: She contributes to CSIRO's Neurodevelopment and Plasticity Team and has partnered with industry on medical device commercialization, with research featured in major media outlets including 9News and The Daily Telegraph.
Yajie (Kevin) Liang, MB, PhD, is an Assistant Professor in the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine. He is a Principal Investigator at the Center for Advanced Imaging Research (CAIR) and a member of the Marlene and Stewart Greenebaum Comprehensive Cancer Center. His interdisciplinary research bridges neuroscience, imaging technology, and regenerative medicine. Education and Training: 1998–2003: Baccalaureate in Medicine, 3rd Military Medical University, Chongqing, China 2003–2009: PhD in Neurobiology, 3rd Military Medical University, Chongqing, China 2010–2012: Postdoc, Department of Radiology, Johns Hopkins University 2012–2015: Postdoc, Institute of Physiology, Tübingen University, Germany Research Focus: Dr. Liang’s laboratory develops and applies advanced in vivo imaging techniques, particularly two-photon and three-photon microscopy, to study neural stem cell therapy, stroke recovery, and neurodegeneration. His team investigates how transplanted neural cells integrate into host brain circuits and how toxic protein aggregates, such as α-synuclein, propagate in dementia models. Current Projects: Long-term tracking of single neural stem cells in stroke models Nanobody-based chemogenetic probes for α-synuclein strain imaging Smart multiphoton imaging systems for real-time cellular interrogation 3D-printed microinjection needle arrays for precise brain delivery Grants & Funding: NIA: “Shedding Light on Functional Heterogeneity of Dementia-related Alpha-synuclein Strains” ($463,124, 2022–2025) Maryland Stem Cell Research Fund: “Smart Intravital Multiphoton Imaging iPSC-derived Cells” ($345,000, 2024–2026) NIMH subcontract: “3D Microprinting-Enabled Microinjection Needle Arrays” ($88,295, 2023–2025) Total active funding: $896,419 Scientific Awards: Young Investigator Award, National Natural Science Foundation of China (2009) Outstanding Doctoral Thesis, Chongqing City (2010) Fortune Award for Junior Investigators, Tübingen University (2013) Dr. Liang is an active member of the Society for Neuroscience, Society for Image Guided Neurointerventions, and BioImaging North America. His work has been featured in high-impact journals including Nature Methods , Cell Research , and Biomaterials .
Nuutti Hyvönen is a Professor and Head of Department at the Department of Mathematics and Systems Analysis, Aalto University, School of Science. His research focuses on inverse problems, electrical impedance tomography, and numerical analysis with applications in biomedical imaging and engineering. He holds a Doctor of Science (Technology) degree and has extensive experience in developing mathematical methods for imaging and reconstruction algorithms. His work emphasizes improving the accuracy and robustness of tomographic techniques, particularly in handling modeling errors and electrode configurations. Key research areas include: Inverse problems for partial differential equations Electrical impedance tomography (EIT) and its biomedical applications Bayesian experimental design and uncertainty quantification Numerical methods for nonlinear imaging problems Recent publications highlight advancements in: Optimal electrode positioning Series reversion methods in Calderón problems Feasibility of EIT for monitoring intracerebral hemorrhages Edge-enhancing reconstruction algorithms He has contributed to over 79 peer-reviewed articles, with notable work on monotonicity-based reconstruction methods and stochastic Galerkin finite element approaches. His research bridges mathematical theory and practical applications in medical imaging, engineering, and computational science.
Erich Carr Everbach is a Professor of Engineering at Swarthmore College , where he has taught since 1990. His interdisciplinary work bridges biomedical ultrasound, environmental engineering, and technology policy. Ph.D., Yale University (Mechanical Engineering, 1989) B.A., Harvard College (Applied Sciences, 1982) Research focuses on ultrasound interactions with biological systems , particularly: Microbubble dynamics in echocardiography Ultrasound-accelerated thrombolysis Inertial cavitation mechanisms Ultrasound safety and bioeffects Therapeutic applications of ultrasound His 15 most recent articles (2007-2017) cover thrombus dissolution, cavitation thresholds, microbubble imaging, and muscle hydration monitoring using ultrasound. Keywords span Biomedical Engineering , Medical Imaging , and Acoustic Cavitation . Scientific awards include: Fellow of the Acoustical Society of America NSF Presidential Faculty Fellowship F.V. Hunt Postdoctoral Fellowship Yale Prize Teaching Fellowship nominee As a research mentor , he has co-authored publications with 17+ students on topics from strawbale acoustics to bacterial biofilm disruption . His grants include NIH, NSF, and American Heart Association funding for projects like microbubble-mediated gene uptake and lithotripsy optimization .
Antonio Frisoli is a Full Professor of Engineering Mechanics and Robotics at Sant'Anna School of Advanced Studies, where he leads the Human-Robot Interaction area at the Institute of Mechanical Intelligence. He serves as President of Artes4.0, the Italian National Competence Center on Robotics and Industry 4.0, and holds editorial roles including Associate Editor for IEEE Robotics Automation Magazine. His educational background includes: PhD with honors in Industrial and Information Engineering from Scuola Superiore Sant'Anna (2002) MSc in Mechanical Engineering, minor Robotics, from University of Pisa (1998) MSc in Industrial Engineering from Scuola Superiore Sant'Anna (1998) as an honor student Professor Frisoli's research spans collaborative robotics, rehabilitation robotics, wearable robotics and exoskeletons, multimodal interaction and haptics, wearable devices, and virtual reality. His work leverages expertise in human perception biomechanics to develop advanced haptic devices and robotic systems for rehabilitation, teleoperation, and virtual environments, with significant focus on clinical applications for stroke rehabilitation and orthopedic recovery. Analysis of his recent publications reveals strong emphasis on haptic interface innovation, exoskeleton optimization, and human-robot collaboration. Key trends include wearable haptic gloves for remote interaction, musculoskeletal modeling for rehabilitation exosuits, running efficiency enhancement through hip exoskeletons, and tele-echography systems resilient to time delays, demonstrating consistent translation of theoretical research into practical applications. Professor Frisoli actively drives technology transfer through co-founding two spin-off ventures: Wearable Robotics srl: A market leader in exoskeleton technology Next Generation Robotics srl: Specializing in robotic solutions for railway systems He directs the Human-Robot Interaction research group within PERCRO (Perceptual Robotics Laboratory), which maintains deep expertise in psychophysics of human perception and biomechanics. The group develops force feedback exoskeletons, large workspace haptic devices, and virtual reality systems for applications ranging from telepresence to clinical rehabilitation, with ongoing projects enhancing stroke therapy through robotic supplementation of traditional one-to-one treatment.
Daniel Adolfo Llano is a Professor at the University of Illinois at Urbana-Champaign with multiple appointments: Professor in the Department of Molecular and Integrative Physiology, Neuroscience Program, and Biomedical and Translational Sciences. He serves as Director of the MD/PhD Medical Scholars Program at Carle Illinois College of Medicine and Theme Lead at the Beckman Institute for Advanced Science and Technology. His office phone is (217) 244-0740. Dr. Llano leads a laboratory investigating auditory processing mechanisms, particularly how complex sounds like speech are decoded by the brain. His research focuses on: Descending cortical projections in auditory processing Neural basis of generative sensory models Aging-related auditory network dysfunction Neurodegenerative disease mechanisms (especially Alzheimer's) Using electrophysiological, optical, and anatomical approaches, his team studies cortical-subcortical interactions in the auditory pathway. His recent publications (2019-2025) demonstrate strong focus on: Advanced neuroimaging techniques (super-resolution ultrasound, two-photon microscopy) Alzheimer's biomarkers (pTau proteins, amyloid detection) Auditory system organization (cortical layers, inferior colliculus) Neurovascular relationships in neurodegeneration Environmental impacts on auditory processing Major Scientific Honors: Presidential Early Career Award for Scientists and Engineers (PECASE, 2019) Helen Corley Petit Scholar (2017) Benjamin Goldberg Professorial Scholar (2017) Advances in Medicine Award, Carle Hospital (2016) Golden Apple Teaching Award (2015) Excellence in Teaching Recognition (2012-2019, 2021) Dr. Llano leads a research team at the Beckman Institute focusing on auditory neuroscience and neurodegenerative diseases. The laboratory employs cutting-edge techniques including in vivo two-photon imaging, ultrasound localization microscopy, and electrophysiology to study auditory processing and neurovascular changes in aging and disease models.
Roman Fedorovych Sukhonos is a Senior Lecturer at the Department of Automobiles, Heat Engines and Hybrid Power Plants within the Faculty of Transport at National University "Zaporizhzhia Polytechnic". He has been affiliated with the university since 2011, contributing to both teaching and research activities in the field of internal combustion engines and automotive systems. His educational background includes: Bachelor's degree in Engineering Mechanics from Zaporizhzhia National Technical University (2010) Master's degree in Internal Combustion Engines from Zaporizhzhia National Technical University (2011), with qualifications as "Master in Internal Combustion Engines, Researcher (Engineering Mechanics), Lecturer at Universities and Higher Educational Institutions" Roman Sukhonos specializes in thermal and gas-dynamic processes in internal combustion engines. His research focuses on improving engine performance, efficiency, and emissions characteristics through innovative design approaches and diagnostic methods. He has particular expertise in two-stroke engine technology, resonant supercharging systems, and the analysis of engine misfires and their effects on performance. His recent publications demonstrate a strong focus on practical applications of engine technology, ranging from chainsaw engines to high-performance automotive systems like Ferrari V12 engines. There's a clear trend toward integrating modern diagnostic techniques, including acoustic monitoring and neural networks, with traditional engine design principles. His work spans both theoretical analysis and experimental validation of engine performance characteristics. Dr. Sukhonos has received numerous awards and recognitions for his contributions: Letter of appreciation from Zaporizhzhia Regional State Administration (June 2023) Honorary certificate from Zaporizhzhia Regional Council (June 2022) Letter of appreciation from Rector of National University "Zaporizhzhia Polytechnic" (May 2022) Honorary certificate from Executive Committee of Zaporizhzhia City Council (November 2021) Certificate from Rector of National University "Zaporizhzhia Polytechnic" (December 2019) Certificate from Oleksandrivka District Administration (December 2018) Third degree diploma from Ministry of Education and Science, Youth and Sports of Ukraine (July 2012) Certificate from Executive Committee of Zaporizhzhia City Council (December 2005) While specific details about his advising activities are not explicitly mentioned, his extensive publication record with multiple co-authors suggests active involvement in research mentoring. His participation in numerous conferences and publication of textbooks indicates significant contributions to curriculum development and student education. His research appears to be supported through university affiliations and collaborations with colleagues. Dr. Sukhonos is part of a research team at the Department of Automobiles, Heat Engines and Hybrid Power Plants that focuses on engine diagnostics, performance optimization, and alternative engine designs. His collaborations with colleagues like Georgy Slynko indicate a strong research group working on advancing internal combustion engine technology despite the industry's shift toward electric propulsion.
David Sedarsky is an Associate Professor at Chalmers University of Technology, working within the Transport, Energy and Environment division of Mechanics and Maritime Sciences. His research focuses on applied optics and light-matter interaction for advanced imaging, with particular emphasis on characterization of dense sprays for diesel, aerospace, and automotive fuel injection systems. Dr. Sedarsky's research interests span laser-based diagnostics and imaging methods, optical measurements of turbulence, and novel analysis of optical signals for time-resolved dynamics. He specializes in the development of analytical and optical methods for visualization of fuel sprays and improvement of combustion in engines. His work combines experimental approaches with advanced data analysis techniques to understand complex fluid dynamics in spray formation and combustion processes. His publication record shows a strong focus on spray dynamics, fuel injection systems, and advanced optical measurement techniques. Recent work has expanded into electric vehicle powertrain efficiency, demonstrating the interdisciplinary nature of his research that bridges traditional combustion engineering with emerging sustainable transportation technologies. Dr. Sedarsky is actively involved in research projects including "Highly Efficient Electric Vehicle Part 2 (HEFE 2)" (2024-2026) and "HEFE - Energieffektivare elfordon" (2020-2024), both funded by the Swedish Energy Agency, focusing on energy conversion, propulsion systems, and combustion/spray technologies for more efficient vehicles.
