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Bat-El PinchasikView profile

Professor

• Biomimetics
• Interfacial Phenomena
• Bio-inspired Materials
• +2 more

Bat-El Pinchasik is a Professor at the School of Mechanical Engineering within Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. She leads the Pinchasik Lab, focusing on biomimetic systems and interfacial phenomena. Education: Ph.D. in Physics from Max Planck Institute of Colloids and Interfaces and University of Potsdam M.Sc. in Polymer Science from Max Planck Institute (joint program with Berlin universities) Dual B.Sc. in Materials Engineering and Physics from Technion University Research Interests: Her work bridges biomimetics, interfacial science, and materials engineering, with emphasis on: Bio-inspired robotics (e.g., insect locomotion, underwater adhesion) Wetting phenomena and droplet dynamics Nanoscale fluid interactions for fog harvesting and energy applications Publication Trends: Recent articles (2015-2022) demonstrate a strong focus on nature-inspired solutions, including microbubble-controlled robotics, insect biomechanics, and adaptive wetting surfaces. Her interdisciplinary approach combines soft matter physics, microfluidics, and biological principles. Laboratory: Directs the Pinchasik Lab specializing in bio-inspired interfacial phenomena and micro-scale robotics.

• Control Systems
• Robotics
• Human-Robot Interaction
• +4 more

Stefan Sosnowski is a Research Fellow at the Chair of Information-Oriented Control, Technical University of Munich (TUM). He has been affiliated with TUM since 2007, including roles as a research assistant and PhD candidate. His work spans Control Systems , Robotics , and Human-Robot Interaction . PhD in Electrical Engineering (2014), TUM Diploma Engineer (2007), TUM B.Sc. in Electrical Engineering (2005), TUM His research focuses on Data-driven Control (e.g., Koopman Operator theory, Gaussian Processes), Human-Centered Control , and Bio-inspired Design for autonomous systems. Recent publications emphasize learning-based control frameworks and stability analysis for nonlinear systems. Notable projects include SeaClear2.0 , CO-MAN , and ReHyb . He coordinates external theses at ITR and has an Erdős number of 4.

Anette HosoiView profile

Professor

• fluid dynamics
• bio-inspired design
• sports data and technology
• +2 more

Anette Hosoi is the Neil and Jane Pappalardo Professor of Mechanical Engineering at the Massachusetts Institute of Technology (MIT), with joint appointments in the Institute for Data, Systems, and Society (IDSS) and Mathematics. She co-founded the MIT Sports Lab, which bridges engineering innovation with athletic performance analysis. Education: BA in Physics, Princeton University MA in Physics, University of Chicago PhD in Physics, University of Chicago Her research integrates fluid dynamics, bio-inspired design, and data science to address challenges in soft robotics, sports technology, and biological optimization. Key areas include: Fluid dynamics : Microscale flows, particle dynamics, and bio-locomotion. Sports engineering : Optimal design of athletic gear (e.g., shoes, sports bras) using biomechanics and control theory. Algorithmic fairness : Developing reparative models to correct historical biases in housing and social systems. Recent publications (2020–2024) demonstrate a focus on interdisciplinary applications: biomechanics (e.g., running optimization, sperm motility), data-driven pandemic control, sustainable product design, and AI ethics. Her work frequently employs reinforcement learning, optimal control, and experimental fluid dynamics. Scientific Awards: APS Stanley Corrsin Award Bose Award for Excellence in Teaching Jacob P. Den Hartog Distinguished Educator Award She co-leads the MIT Sports Lab, fostering collaborations between engineers, athletes, and data scientists to innovate sports technology and analytics.

• Additive Manufacturing
• 3D Printing
• Soft Robotics
• +3 more

Gianluca Percoco is a Full Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari (Poliba), specializing in manufacturing technologies and systems. His research focuses on advancing 3D printing methodologies for soft robotics, sensors, and biomedical applications. Department: Mechanics, Mathematics & Management Research Themes: Additive manufacturing, material extrusion, bioinspired structures His recent work explores ironing process optimization for improved sensor sensitivity, electromagnetic assistance in silicone-based soft robotics, and machine learning for predicting interlayer adhesion in multi-material printing. Publications from 2023-2025 highlight innovations in 3D printed sensors , self-healing polymers , and microfluidic devices . Contact: gianluca.percoco@poliba.it | Tel: +39 080 596 3267

Koray Kadir ŞafakView profile

Associate Professor

• Control Theory
• Mechatronics
• Biomechanics
• +4 more

Assoc. Prof. Dr. Koray Kadir Şafak is a faculty member at Yeditepe University, Faculty of Engineering, Department of Mechanical Engineering. His academic career spans over two decades, with expertise in control theory, mechatronics, and biomimetic robotics. Education: PhD in Mechanical Engineering (Northeastern University, 2001), MSc in Control Engineering (Bogazici University, 1997), BSc in Mechanical Engineering (Bogazici University, 1995) His research focuses on control theory , biomimetic robots , and mechatronic systems , with significant contributions in underwater locomotion , LVAD simulations , and bipedal dynamics . Recent publications highlight his work in planar biped robots and cardiovascular device modeling . Notable projects include TÜBİTAK-funded research on hydraulic prosthetics and miniature artificial heart pumps . He holds patents in intramedullary bone distraction implants and has served as Deputy Head of Department. Key memberships: ASME (since 1996), ASME Turkey Branch (Board Member 2004-2011)

Jamel AliView profile

Assistant Professor

• Micro/nanobiorobotics
• Microbial dynamics
• Cancer mechanobiology
• +1 more

Jamel Ali, Ph.D. , is an Assistant Professor in the Department of Chemical & Biomedical Engineering at the FAMU–FSU College of Engineering, a joint unit of Florida A&M University and Florida State University. His office is located in Building B, Room B373F, and he can be reached via e-mail at jali@eng.famu.fsu.edu . Dr. Ali earned a B.S. (2011) and M.S. (2013) in Chemical Engineering from Howard University, followed by a Ph.D. (2016) in Mechanical Engineering & Mechanics from Drexel University. His research spans four tightly integrated thrusts: Micro/nanobiorobotics – design and wireless control of bacteria-inspired and erythrocyte-based micro/nanorobots for targeted therapy and minimally invasive surgery; Microbial dynamics – understanding how flagellar mechanics and collective motion govern bacterial locomotion in complex biological fluids; Cancer mechanobiology – elucidating mechanical cues that drive pancreatic cancer progression, adipocyte reprogramming, and acinar-ductal metaplasia; Biomaterials for biomedical applications – developing 3-D extracellular matrix scaffolds, hydrogels, and biofabricated organoids for regenerative medicine, drug screening, and personalized therapy. Across 40+ peer-reviewed articles (2015-2025), Dr. Ali’s work exhibits a clear trajectory from fundamental fluid-mechanics studies of microswimmers and colloidal gels to translational applications in diabetes, pancreatic cancer, and targeted drug delivery. Recent high-impact contributions include demonstrations of symmetry-breaking propulsion in viscoelastic fluids, magnetically actuated erythrocyte micromotors for localized therapy, and organoid-based reversal of hyperglycemia in type-1 diabetes models. Labs & Teams: While explicit laboratory names are not provided, Google-Scholar entries and publication affiliations indicate active collaboration with the Micro/Nanoscale Bio-Robotics Laboratory (formerly at Drexel) and ongoing participation in multi-university consortia such as the Florida-California CaRE2 Health Equity Center.

SANDRA MARIA GOMEZ CANAVALView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Distributed Computing
• +7 more

Sandra María Gómez Canaval is an Associate Professor at the Universidad Politécnica de Madrid , affiliated with the Department of Computer Systems . Her research focuses on: Artificial Intelligence and Machine Learning Bio-Inspired Computational Models Distributed and High-Performance Computing Generative Models and Network Security Data Mining and Time Series Forecasting Her recent work explores machine learning applications for: Network traffic prediction Harmful algal bloom forecasting Energy-efficient deep neural networks Automated guided vehicle control Cryptomining attack detection Her publications highlight expertise in Generative Adversarial Networks (GANs), cloud-based security, and Industry 4.0 systems. She actively contributes to: Data augmentation techniques Parallel computing architectures Network digital twin development

Mohan SrinivasaraoView profile

Professor

• Polymer Physics and Chemistry
• Liquid Crystal Physics and Optics
• Nano-optics in Biological Systems
• +3 more

Mohan Srinivasarao is a full Professor in the School of Materials Science and Engineering at the Georgia Institute of Technology (College of Engineering). He is an elected Fellow of the American Association for the Advancement of Science (AAAS), the American Physical Society (APS) and the National Academy of Inventors (NAI). Education Ph.D. in Chemistry, Carnegie Mellon University, 1990 M.S. in Polymer Science, Carnegie Mellon University, 1985 M.Sc. in Applied Chemistry, PSG College of Technology (University of Madras, India), 1981 B.Sc. in Applied Science, Madurai University, India, 1979 Research Interests Srinivasarao’s research integrates polymer and liquid-crystal physics with nano-optics and advanced characterization. His group explores the physical chemistry of polymers , rheology and rheo-optics of liquid-crystalline fluids , and optical properties of nematic and chromonic liquid crystals . A major thrust is bio-inspired nano-optics , elucidating how butterfly wings, beetle cuticles and bird feathers produce structural color. The laboratory employs confocal microscopy, photon-tunneling microscopy, polarized Raman spectroscopy and other light-scattering techniques to quantify order, defects and dynamics across length scales from molecular to macroscopic. Recent Publication Trends Between 2010 and 2024, Srinivasarao has published extensively on lyotropic chromonic liquid crystals , organic semiconducting polymers , flexible organic electronics , and biomimetic photonic structures . Recurring themes include spontaneous emergence of chirality, defect topology under confinement, orientation control in conjugated polymers, and hierarchical optical materials inspired by beetles and butterflies. Scientific Honors Fellow, American Association for the Advancement of Science (AAAS) Fellow, American Physical Society (APS) Member/Fellow, National Academy of Inventors (NAI) Research Group & Collaborations Srinivasarao leads the Mohan Srinivasarao Group , whose members investigate multi-scale structure–property relationships in soft and biological materials. Collaborative projects span Georgia Tech’s interdisciplinary centers and leverage facilities for advanced microscopy, scattering and device fabrication. Contact: mohan@mse.gatech.edu

• Biophysics
• Chemical Physics
• Soft Matter Physics
• +7 more

Atsuko Takamatsu is a Professor at the School of Advanced Science and Engineering of Waseda University. Her work bridges biophysics, mathematical biology, and nonlinear dynamics through experimental and theoretical studies of biological systems. PhD in Science from Tokyo Institute of Technology Key memberships: Japanese Society for Mathematical Biology, Physical Society of Japan, Biophysical Society of Japan Research Interests focus on: Biological Pattern Formation in Physarum slime mold and cyanobacteria Coupled Oscillator Systems (cilia, cellular oscillations) Cell Competition Dynamics and its role in tissue homeostasis Hydrodynamic Interactions in left-right symmetry determination Article Trends reveal expertise in mathematical modeling of biological networks, with applications to Physarum transport systems, ciliary synchronization, and cellular decision-making. Notable work includes uncovering how minimal ciliary systems generate embryonic symmetry and modeling energy-efficient biological networks. Research Projects funded by Japan Society for the Promotion of Science include studies on: Chrono-health science and irregular lifestyle effects Spatio-temporal oscillation patterns in slime mold Cell competition mechanisms in Drosophila Adaptive network morphology in Physarum Her bio-inspired algorithms (e.g., Physarum-based transport optimization) demonstrate practical applications of biological principles to engineering challenges.

• Mechanics and mechatronics
• Robotics and intelligent systems
• Rehabilitation science
• +5 more

Hideyuki Sawada is a Professor at Waseda University's School of Advanced Science and Engineering, Faculty of Science and Engineering. He has been in this position since April 2017, following 7 years as a Professor at Kagawa University (2010-2017) and 11 years as an Associate Professor there (1999-2010). His academic career also includes visiting professorships at Universite de Savoie in France (2005, 2009) and previous research positions at Waseda University. His educational background is deeply rooted at Waseda University: Ph.D. in Pure and Applied Physics, Waseda University Graduate studies in Pure and Applied Physics, Waseda University (1995-1998) Graduate studies in Pure Physics and Applied Physics, Waseda University (1990-1992) Bachelor's degree in Applied Physics, Waseda University (1986-1990) Professor Sawada's research spans multiple interdisciplinary fields with a strong focus on robotics, human-computer interaction, and intelligent systems. His work bridges mechanical engineering, information science, and biomedical applications, with particular emphasis on tactile sensing, biomimetic robotics, and 4D space visualization. His laboratory actively explores shape memory alloy (SMA) applications in robotics, self-propelled droplet systems, and novel human interface technologies that enhance virtual reality experiences. His recent publication trends show a strong focus on tactile interfaces using shape memory alloys, self-propelled droplet systems leveraging Marangoni convection, continuum robotics for medical applications, and human-in-the-loop machine learning for robot control. These publications demonstrate his laboratory's interdisciplinary approach that combines fluid dynamics, robotics, and human perception studies. Professor Sawada has received numerous prestigious awards recognizing his research contributions: Best Paper Award Finalist at IEEE International Conference on Mechatronics and Automation (2025) Certificate of Editors' Choice from Biomimetic Intelligence and Robotics Journal (2025) Specially Selected Paper award from Information Processing Society of Japan (2024) Award for excellence in interdisciplinary research from The Japan Society of Mechanical Engineers (2024) Best paper award at the 7th International Conference on Sustainable Information Engineering and Technology (2022) Professor Sawada actively mentors students and researchers, as evidenced by numerous student awards where he appears as an advisor. His laboratory has secured funding for various research projects in robotics, human interface technology, and biomimetic systems. He serves on multiple editorial boards and program committees for international conferences, demonstrating his leadership in the academic community. His research group maintains strong international collaborations, particularly with institutions in France and Southeast Asia. His laboratory focuses on several key research directions: the development of SMA-based tactile interfaces and sensors, self-propelled droplet systems for micro-transport applications, continuum robotics for medical use, and 4D space visualization systems. The lab maintains strong industry connections, particularly in medical robotics and human interface technology development.

• Structural Dynamics
• Nonlinear Vibrations
• Vibration Control
• +5 more

Dr. Ali Abolfathi serves as Associate Professor (Teaching) in the Department of Mechanical Engineering at University College London (UCL), where he has been affiliated since 2016. His academic foundation includes a PhD in Sound and Vibration (2012) from the Institute of Sound and Vibration Research at the University of Southampton, focusing on nonlinear vibration phenomena, complemented by prior industry experience in engineering sectors. His research spans structural dynamics and nonlinear vibrations with emphasis on three core domains: (1) Energy transfer mechanisms in flying insects' indirect flight muscles, investigating how thorax elasticity creates resonant systems to reduce flight energetics; (2) Nonlinear behavior in built-up structures, particularly friction effects in rotational hinges found in satellite panels and vehicle components; (3) Vehicle suspension innovation through quasi-zero-stiffness hydropneumatic struts for enhanced ride quality. These themes directly support UN Sustainable Development Goals 7 (Affordable Clean Energy), 9 (Industry Innovation), and 11 (Sustainable Cities). Analysis of his 25 publications reveals consistent focus on vibration control, energy harvesting, and bio-inspired robotics, with recent work (2023-2025) advancing flapping-wing UAV design, transverse galloping energy harvesters, and quasi-zero-stiffness vehicle suspensions. His methodological approach integrates analytical modeling, electromechanical systems, and experimental validation across mechanical, aerospace, and automotive applications. As primary supervisor for three PhD candidates (Resmi Kochalathu Sarala, Moonsoo Park, Igoke Major), he contributes to engineering education while maintaining active consultancy and advisory roles. His work demonstrates strong industry-academia collaboration through projects addressing real-world vibration challenges in automotive and aerospace sectors.

Njuki W. MureithiView profile

Professor

• Mechanical Engineering
• Dynamics
• Fluid-Structure Interactions
• +5 more

Njuki W. Mureithi is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal. He holds a B.Eng., M.Eng., and Ph.D. from McGill University and has established himself as a leading researcher in mechanical vibrations and fluid-structure interactions. His academic career spans multiple decades, with continuous research productivity evident from publications dating back to 2003 through to 2025. Professor Mureithi's primary research focuses on nonlinear dynamics and control in fluid-structure interactions, with particular emphasis on fluidelastic instability in tube and rod bundles subjected to single-phase and two-phase flows. His work has significant applications in nuclear engineering, particularly concerning fuel rod vibrations and steam generator tube dynamics, as well as broader implications for energy systems and sustainable infrastructure. His research bridges theoretical mechanics with practical engineering applications, often addressing critical safety and performance issues in mechanical systems. His recent publications (2023-2025) demonstrate continued innovation in the field, with work expanding into renewable energy applications such as photovoltaic-thermal systems and bio-inspired approaches to vibration mitigation. Professor Mureithi has maintained a consistent publication record with numerous articles in high-impact journals including Nuclear Engineering and Design, Journal of Fluids and Structures, and Journal of Pressure Vessel Technology. Professor Mureithi has supervised 15 doctoral students and 16 master's students to completion, demonstrating a strong commitment to graduate education. His teaching responsibilities include 'Vibrations' (MEC2435) and 'Vibration and Stability' (MEC8902), courses that directly align with his research expertise. He is affiliated with multiple centers of excellence at Polytechnique Montréal, with his primary affiliation in 'Energy, water and resources' and secondary affiliations in 'Modeling and Artificial Intelligence' and 'Transport and Sustainable Infrastructure.' His research methodology combines experimental investigations, analytical modeling, and computational techniques to address complex vibration phenomena in mechanical systems. Professor Mureithi's work has practical implications for nuclear safety, energy system design, and mechanical component reliability, making significant contributions to both academic knowledge and engineering practice in mechanical engineering.

• Fluid Mechanics
• Computational Fluid Dynamics
• Micro Electro Mechanical Systems
• +1 more

Dr. Eyup KOÇAK is an Assistant Professor in the Department of Mechanical Engineering at Çankaya University's College of Engineering. He has progressed through academic ranks at Çankaya since 2018, starting as a Research Assistant before becoming a Lecturer (2023) and current Assistant Professor (2024). Education: Doctorate: Mechanical Engineering, Çankaya University, Graduate School of Natural and Applied Sciences (2018) Master's: Mechanical Engineering, Gazi University, Graduate School of Natural and Applied Sciences (2015-2018) Bachelor's: Mechanical Engineering, Gazi University, Faculty of Engineering (2009-2014) Research Focus: Dr. KOÇAK's expertise spans fluid mechanics, computational fluid dynamics (CFD), heat transfer, and micro-electro-mechanical systems (MEMS). His interdisciplinary approach integrates numerical simulations with machine learning techniques to solve complex thermo-fluid problems, particularly in energy systems, aeroacoustics, and thermal management applications. Publication Trends: Recent publications (2019-2024) demonstrate a strong focus on machine learning applications in thermal-fluid dynamics, including predictive modeling of nanofluid behavior, optimization of heat transfer surfaces, and aeroacoustic noise reduction. Over 70% of his journal publications appear in SCI-indexed venues, reflecting consistent research output in high-impact areas. Projects & Advising: Currently advising one Master's candidate researching aircraft wing icing mechanisms Contributor to 4 national research projects including porous material cooling studies (2021), biomimetic wing analysis (2021), and Francis turbine design (2015-2016)

Erik GaugerView profile

Professor

• Quantum Nanostructures
• Quantum Technologies
• Condensed Matter Physics
• +5 more

Erik Gauger is a Professor at the Institute of Photonics and Quantum Sciences , School of Engineering & Physical Sciences, Heriot-Watt University. He leads the Quantum Technology Theory group , focusing on quantum nanostructures for energy, sensing, and information processing technologies. His work bridges condensed matter physics, quantum optics, and quantum biology through analytical and numerical modeling. Diplom in Physics, University of Konstanz (2005) DPhil in Physics, University of Oxford (2009) Postdoctoral Research Fellow at Oxford (2009-2011) Research/Senior Fellow at National University of Singapore (2011-2014) Proleptic Assistant Professor at Heriot-Watt (2015) Associate Professor (2020) Full Professor (2022) Research interests include quantum transport optimization, environmentally assisted energy transfer, and quantum coherent effects in artificial/natural nanostructures. Recent work explores dipole engineering, non-Markovian dynamics, and bio-inspired quantum technologies. Collaborations include experimental teams across Europe and Singapore. Notable awards: Royal Society of Edinburgh's Young Academy membership (2018) and Personal Research Fellowship (2015). His group contributes to UN SDG 7 (Affordable Energy) and 13 (Climate Action) through quantum energy technologies. Edinburgh Young Academy of Scotland Royal Society of Edinburgh Fellowship He supervises PhD students and develops simulation toolkits like ACE (non-Markovian open quantum system solver). Current activities include adaptive quantum estimation, cooperative emission studies, and exploring quantum ratchet states for energy harvesting.