Find Academic Supervisors

Luiz Felipe AguinskyView profile

Lecturer

• Computational Nanoelectronics
• Semiconductor Process Simulation
• Machine Learning-Enhanced Modelling
• +7 more

Dr. Luiz Felipe Aguinsky is a Lecturer in Computational Nanoelectronics and Deputy Group Leader of the DeepNano Research Group at the University of Glasgow. He holds a PhD (Dr. techn.) from TU Wien, Austria, where he specialized in semiconductor fabrication process modeling. As an Erwin Schrödinger Fellow at ETH Zurich, he developed machine learning-enhanced models for memristors. His research focuses on computational nanoelectronics, combining advanced simulation techniques with cutting-edge materials science. Education: PhD (Dr. techn.) in Microelectronics, TU Wien (Austria), 2019 (with distinction) Erwin Schrödinger Fellowship at ETH Zurich's Computational Electronics Group (2021–2023) Research Interests: His work integrates machine learning with atomistic simulations to address challenges in semiconductor manufacturing. Key areas include: High-performance TCAD for nanofabrication processes Quantum transport and neuromorphic computing Applied computer graphics for nonimaging applications Level-set methods for surface evolution modeling Publications Trends: Recent work emphasizes knudsen diffusion modeling for nanofabrication, atomic layer deposition simulations, and plasma etching optimization. Cross-disciplinary methods like ray tracing and machine learning feature prominently in his latest projects. Awards & Fellowships: EUROSOI-ULIS Best Poster Award (2021) Erwin Schrödinger Fellowship (FWF, 2023–2025) Professional Activities: Active member of IEEE Nanotechnology Council's Modelling & Simulation Technical Committee. Co-author of over 15 peer-reviewed publications since 2019, with contributions to IEEE NANO, SISPAD, and EuroSOI conferences. Labs/Teams: Leads computational modeling efforts in the DeepNano Research Group, collaborating globally on TCAD innovations for next-generation semiconductor devices.

Srikanthan RameshView profile

Assistant Professor

• Biological Additive Manufacturing
• Micro-scale Additive Manufacturing
• Biomaterial Development
• +7 more

Dr. Srikanthan Ramesh serves as an Assistant Professor in the School of Industrial Engineering and Management within Oklahoma State University's College of Engineering, Architecture and Technology. Since establishing the Advanced Materials and Additive Manufacturing Laboratory in August 2022, he has led interdisciplinary research at the intersection of materials science, physical phenomena, and advanced manufacturing technologies, with applications spanning healthcare, aerospace, and electronics sectors. His educational foundation includes a Ph.D. in Mechanical and Industrial Engineering from Rochester Institute of Technology (2022) and an M.S. in Industrial and Manufacturing Systems Engineering from Iowa State University (2017). This academic background enables his innovative approach to manufacturing science. Dr. Ramesh's research program focuses on biological and micro-scale additive manufacturing (bio-AM), specializing in biomaterial development for tissue engineering and regenerative medicine. His work integrates computational fluid dynamics, machine learning, and real-time process monitoring to achieve precise control over mechanical, biological, and electrical properties of manufactured structures. He develops experimental tools and process frameworks for droplet-based and extrusion-based AM systems, with particular emphasis on wound healing applications and space-compatible microelectronics. Analysis of his 14 publications from 2020-2025 reveals a strong trajectory toward AI-driven manufacturing solutions, with increasing emphasis on multi-objective Bayesian optimization for bioink design, aerosol jet printing process refinement, and bioprinted tissue construct development. His recent work demonstrates sophisticated integration of machine learning with physical manufacturing processes to solve complex biomedical challenges. His scientific recognition includes: Doctoral Dissertation Pitch Competition (Runner-up), IISE, 2021 Best Oral Presentation, Graduate Showcase, Rochester Institute of Technology, 2019 Gilbreth Memorial Fellowship, IISE, 2018-2019 Wakonse College Teaching Fellowship, Iowa State University, 2018-2019 Graduate Research Excellence Award, Iowa State University, 2017 Best Overall Oral Presentation, Nano@IAstate, Iowa State University, 2017 Dr. Ramesh currently leads significant research initiatives including as Principal Investigator for an NSF REU Site on Additive Manufacturing and Cybersecurity ($464,606, 2025-2028) and a NASA EPSCoR Travel Grant for aerosol jet printing in space missions (2024-2025). As Co-PI on an NSF grant for Privacy-aware Collaborative Design in additive biofabrication ($599,981, 2025-2028), he develops frameworks for mass personalization in medical applications while addressing data security challenges. These projects support his lab's mission to advance manufacturing science through rigorous experimentation and computational innovation. The Advanced Materials and Additive Manufacturing Laboratory operates as a collaborative hub where Dr. Ramesh directs research teams in developing novel biomaterials, optimizing printing processes, and creating functional prototypes for wound dressings, liver tissue models, and space-rated microelectronics. The lab's interdisciplinary approach combines expertise in materials characterization, computational modeling, and machine learning to push the boundaries of what's possible in additive manufacturing for critical applications.

Zhen LiView profile

Assistant Professor

• Multiscale/Multiphysics modeling
• Soft matter and Smart materials
• Biophysics and Collective dynamics
• +7 more

Dr. Zhen Li is an Assistant Professor in the Department of Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. He joined Clemson in August 2019 after serving as a research associate professor at Brown University and a postdoctoral research associate at University of California, Merced. Education: Ph.D. in Fluid Mechanics, Shanghai University, 2012 MS in Fluid Mechanics, Shanghai University, 2008 BS in Engineering Mechanics, Wuhan University, 2005 Dr. Li's research focuses on multiscale modeling of soft matter, complex fluids, biophysics, and collective dynamics using both bottom-up (coarse-grained molecular modeling) and top-down (from continuum descriptions to fluctuating hydrodynamics) approaches, along with high-performance computing. His work spans mathematical theory for coarse-graining and model reduction, statistical methods and machine-learning approaches applied to multiscale modeling, memory effects in complex fluids, and concurrent coupling of heterogeneous solvers for scale-bridging. Analysis of Dr. Li's recent publications reveals a strong trend toward integrating machine learning with traditional computational methods, particularly neural operators for multiscale problems. His work spans diverse applications from bubble dynamics and blood flow to materials science and bioprinting, demonstrating the versatility of his computational approaches across multiple disciplines in engineering and physics. Awards and Recognition: CECAS Dean's Professor Award (2024) Award of Excellence - Junior Faculty (2021-2022) Best Research Poster Award at SC19 (2019) 2nd Place Award of Best Poster Presentation at DOE/EFRC AIM for Composites meeting (2024) Dr. Li actively mentors PhD students including Miles Lu, Ryan Wan, Haizhou Wen, and Ali Mohammadi, who have published significant research in computational mechanics. His research is supported by multiple grants including an NSF Elements grant as PI for 'SciMem: Enabling High Performance Multi-Scale Simulation on Big Memory Platforms', an NSF CDS&E grant as co-PI for 'HAM3R: Heterogeneous Automated Management of Multiscale Methods and Resources', a DOE/EFRC grant as Thrust lead co-PI for 'AIM for Composites', and a NASA EPSCoR grant as Science-PI. Dr. Li leads the MuthComp (Multiscale theory and Computation) research group, which focuses on developing interfaces between Engineering, Applied Mathematics, Physics-based Machine Learning, and High Performance Scientific Computing. The group has active collaborations with institutions including Idaho National Laboratory, University of Tokyo, and Brown University, and has developed open-source software including USERMESO for GPU-accelerated DPD simulations.

Farzan KazemifarView profile

Associate Professor

• Thermal Energy Systems
• Energy Efficiency
• Multiphase Flow
• +3 more

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.

Randolph AshtonView profile

Professor

• Neural tissue engineering
• Vascular tissue engineering
• Regenerative therapies for the central nervous system
• +3 more

Randolph Ashton is a Professor in the Department of Biomedical Engineering at the University of Wisconsin-Madison College of Engineering. He directs the Stem Cell Bioprocessing and Regenerative Biomaterials Laboratory, where his team engineers novel materials and methodologies for lineage-specific differentiation of human pluripotent stem cells. His interdisciplinary research bridges biomaterials science, stem cell biology, and tissue engineering to develop regenerative therapeutic strategies. His educational background includes: PhD (2007) from Rensselaer Polytechnic Institute BS (2002) from Hampton University Ashton's research focuses on neural and vascular tissue engineering , with specialization in regenerative therapies for the central nervous system. His laboratory employs microfabrication, molecular biology, recombinant protein engineering, and automated live-cell imaging to investigate cellular microenvironmental factors regulating stem cell fate. Current work emphasizes developing high-throughput screening methods and tissue-engineered scaffolds for generating complex tissue structures in vitro. His recent publications reveal a strong trajectory in neural organoid development, CNS vascularization, and microphysiological systems. The research demonstrates quantitative approaches to understanding stem cell differentiation, with applications spanning from fundamental developmental biology to clinical regenerative medicine. Key technological innovations include advanced microelectrode arrays and high-throughput screening platforms for neural tissue engineering. Notable awards include: 2023 AIMBE Fellowship 2020 WARF Innovation Award 2018 UW-Madison College of Engineering Equity & Diversity Award 2017 NSF CAREER Award 2016 Regenerative Medicine Workshop Young Investigator Award Ashton actively mentors graduate students through thesis research (BME 890, BME 990) and teaches core courses including Biological Interactions with Materials (BME 430). His laboratory operates as an interdisciplinary team bringing together engineering, biology, and materials science expertise to develop regenerative therapies, with current focus on central nervous system applications and expanding interests in vascular and muscular tissues. The Stem Cell Bioprocessing and Regenerative Biomaterials Laboratory maintains active collaborations across disciplines and continues to develop novel approaches for high-order tissue structure generation using human pluripotent stem cells. Current research directions include expanding into vascular and muscular tissue systems while refining quantitative methodologies for stem cell microenvironment characterization.

• 3D modeling
• Capacitive sensors
• Polymeric 3D printing
• +7 more

Luciano Scaltrito is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where he also serves as a member of the Interdepartmental Center PEIC - Power Electronics Innovation Center and Scientific Advisor for the Partnership Agreement with SPEA. His research focuses on micro and nanotechnologies, power electronics, and MEMS devices. His primary research interests include 3D modeling, capacitive sensors, polymeric 3D printing, solid state physics, and surface micromachining. Professor Scaltrito's work spans the study of packaging technologies for power electronics and MEMS devices, mechanical/electrical/thermal/optical interfaces for electronic devices, lithographic processes for silicon and silicon carbide power devices, and production processes for sensors and actuators. His research aligns with several Sustainable Development Goals including Good Health and Well-being, Quality Education, Clean Water and Sanitation, Decent Work and Economic Growth, Industry Innovation and Infrastructure, and Partnerships for the Goals. His recent publications demonstrate a strong focus on 3D printing applications for electronics and MEMS, power electronics packaging, environmental monitoring sensors, and advanced materials for energy applications. The research spans multiple disciplines including materials science, electronics engineering, environmental engineering, and nanotechnology. President of Italian Association of Science and Technology (2017-2020) Vice President of Italian Association of Science and Technology (2016) Steering Committee member of Italian Association of Science and Technology (2015, 2021) Program committee member for MNE2021 conference Professor Scaltrito actively supervises numerous PhD students across multiple programs including Electrical, Electronic and Communications Engineering, and Sustainable Materials, Processes and Systems for Energy Transition. He leads multiple research projects including SMIP (2024-2027), SIRCEC (2023-2025), and ECOSMARTROAD 2.0 (2021-2023), with funding from regional, national, and EU sources as well as commercial contracts with industry partners. He directs the CHILAB Laboratory in Chivasso, which focuses on materials and microsystems research, and maintains strong industry partnerships through numerous commercial research agreements with companies including SPEA S.p.A. and Dana-TM4 Italia S.r.l.

Dmitry PushinView profile

Associate Professor

• Neutron Physics
• Quantum Information Science
• Condensed Matter Physics
• +4 more

Dmitry Pushin is an Associate Professor at the University of Waterloo and a Faculty member of the Institute for Quantum Computing (IQC). He holds a PhD in Physics from MIT (2006), and prior degrees from Moscow Institute of Physics and Technology (BSc 1995, MSc 1997). His research focuses on advancing neutron interferometry to address fundamental physics questions, including quantum information science, condensed matter physics, and dark energy studies. He explores applications like magnetic material characterization and spintronics development, with recent work on chameleon scalar field constraints via neutron experiments. Teaching includes courses such as MNS 321 (Electrical/Optical Properties of Materials), MNS 410 (Special Topics in Solid-State Materials), and graduate courses in Quantum Information Processing (QIC 890). His experimental work leverages neutron optics to study quantum coherence effects at macroscopic scales, with contributions to structured neutron waves and precision measurements. Key research areas include quantum information processing, magnetic materials, and fundamental physics inquiries like Born’s Rule verification. His team pioneered methods for neutron orbital angular momentum (OAM) generation and applied interferometry to study novel materials. Recent advancements include high-precision silicon interferometer fabrication and PROSPECT experiment contributions in antineutrino physics. Notable collaborations involve the PROSPECT reactor antineutrino experiment, focusing on short-baseline oscillations and dark matter limits. He also explores human perception of structured light phenomena, linking quantum optics to vision science.

Thomas ByrdView profile

Assistant Professor

• Artificial Intelligence in Healthcare
• Patient Safety and Deterioration
• Clinical Informatics
• +3 more

Thomas Byrd, MD, MS, serves as Assistant Professor in the Division of Hospital Medicine within the Department of Medicine at the University of Minnesota School of Medicine. His academic work bridges clinical practice with cutting-edge informatics research, focusing on improving hospital-based care through technological innovation and data-driven approaches. Dr. Byrd's research program centers on artificial intelligence applications in surgical and critical care settings, patient deterioration detection systems, and secure clinical communication technologies. His investigations span validation of deterioration index models, barriers to secure messaging adoption, AI-driven radiology follow-up systems, and earlier work in medical imaging and biomedical engineering. This multidisciplinary focus aims to enhance patient safety through real-time monitoring, workflow optimization, and predictive analytics in hospital environments. Analysis of his 15 most recent publications (2014-2024) reveals an evolving research trajectory from biomedical engineering foundations toward AI-driven clinical solutions. Key thematic clusters include: (1) AI applications in surgery and critical care triage; (2) patient deterioration monitoring systems; (3) secure mobile communication adoption; and (4) earlier biomedical engineering work in medical imaging and drug delivery systems. The publications demonstrate increasing focus on translational informatics with strong emphasis on real-world implementation challenges. Scientific Awards: No scientific awards documented in available source material Advising and Grants: While Dr. Byrd's role as faculty suggests potential advising responsibilities, no student names or grant funding details appear in the provided documentation. His research output indicates active investigation in clinical informatics but specific mentoring activities or funded projects remain unspecified in the source text. Laboratory and Team Affiliations: Dr. Byrd is institutionally anchored in the Division of Hospital Medicine at the University of Minnesota, though specific laboratory facilities or dedicated research teams are not described. His collaborative work appears cross-disciplinary, spanning departments of medicine, surgery, radiology, and biomedical engineering as evidenced by publication topics.

Jack SkinnerView profile

Professor

• Nanotechnology
• Microelectromechanical Systems (MEMS)
• Nanoscale Device Characterization
• +6 more

Jack Skinner is a Professor and Department Head of Mechanical Engineering at Montana Technological University's Lance College of Mines & Engineering. He is also Interim Dean of the college and a licensed professional engineer (WY/14963). Education: B.S. in General Engineering (Montana Tech, 2000), M.S. in Mechanical Engineering (Washington State University, 2002), Ph.D. in Mechanical Engineering (UC Davis, 2007) Professional Roles: Interim Dean, Department Head, Principal Member of Technical Staff at Sandia National Labs (2003-2012) His research focuses on nanotechnology and MEMS , with expertise in nanoscale devices, materials, and fabrication techniques. Key areas include: Nanofabrication and microfabrication Electrospinning methods for biomedical and energy applications Plasmonics in polymer composites Advanced materials for energy systems and environmental remediation Device characterization and integration He has taught courses such as: Introduction to Micro/Nanoelectromechanical Systems Heating, Ventilating, and Air Conditioning Engineering Mechanics - Dynamics

Cecilia FasanoView profile

Researcher

• Microfabrication
• Astronomy
• Electron Beam Lithography
• +3 more

Cecilia Fasano is a Researcher at the Department of Physics and Astronomy , affiliated with the College of Liberal Arts and Sciences at the University of Iowa . Research Interests: She specializes in microfabrication and its applications in astronomy , with a focus on electron beam lithography , semiconductor fabrication , and optical metrology . Her work addresses challenges in characterizing sub-micron feature placement accuracy over large areas, which is critical for semiconductor and optical device manufacturing. Publications: Her recent article in Journal of Vacuum Science & Technology B introduces a method combining scanning electron microscopy , optical microscopy , and interferometric metrology to improve patterning fidelity in diffraction grating fabrication. Scientific Recognition: The article was promoted as an Editor's Pick by the journal, highlighting its impact and quality. Grants and Collaborations: The research was funded by NASA FINESST Grant No. 80NSSC21K1837 NASA APRAs No. 80NSSC22K0159 NASA APRAs No. 80NSSC22K0210 and supported by MATFab staff member Schaffer Finney and CMRF staff member Tom Moninger.

F. AlijaniView profile

Researcher

• Nonlinear Dynamics
• Nanomechanical Resonators
• Graphene Engineering
• +4 more

F. Alijani is a researcher at TU Delft in the Dynamics of Micro and Nano Systems department. Their work focuses on nonlinear dynamics, nanomechanical resonators, and graphene-based sensor technology. Department: Dynamics of Micro and Nano Systems Research interests include: Nonlinear dynamics of 2D materials Graphene engineering for bio-sensing Atomic force microscopy (AFM) applications Optimization of nanomechanical systems Structural and aeroelastic modeling Recent publications highlight advancements in topology optimization, bacterial nanomotion detection, and AFM techniques. Collaborations include institutions like TU Delft and TU Delft - 4TU.ResearchData for datasets. No scientific awards are explicitly mentioned in the provided data. Labs & teams: Dynamics of Micro and Nano Systems group at TU Delft, working with Prof. P.G. Steeneken and Prof. A.M. Aragón.

Leonard Gabriel MITUView profile

Lecturer

• Biomaterials Engineering
• Orthopedic Prosthetics
• Mechatronics Systems
• +3 more

Leonard Gabriel MITU is a Lecturer at the Department of Product Design, Mechatronics and Environment , part of the Faculty of Product Design and Environment at the Technical University of Brașov. His research focuses on biomaterials, mechatronic systems, and advanced manufacturing techniques. He is particularly active in developing biocomposite materials for orthopedic prosthetics and exploring applications in MEMS (Microelectromechanical Systems). His work integrates interdisciplinary approaches, combining materials science, mechanical engineering, and biomedical applications. Dr. MITU’s research interests include the characterization of biomaterials like hydroxyapatite and polymers (e.g., PLA), optimization of composite reinforcement using glass and carbon fibers, and the development of lightweight prosthetic solutions. He has contributed to studies on manufacturing processes such as photolithography for MEMS and microfabrication techniques. His recent work emphasizes nano and micro-scale manufacturing methods in mechanical engineering, alongside systemic analysis of material behavior in medical devices. His publications span over 20 years, with a focus on biomaterials, composite testing methods, and biomedical applications. Notable contributions include studies on hybrid biocomposites for orthopedics and vibration analysis in renewable energy systems. He has collaborated on projects funded by institutional grants and maintains an active research profile in biomaterials and mechatronics. His address is located at Building C, Room CI 14, 1 Universității Str, Brașov, Romania.

Vivek SubramanianView profile

Professor

• Advanced Manufacturing
• Microengineering
• Printed Electronics
• +5 more

Vivek Subramanian is a Full Professor at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering. He holds multiple key roles across departments, primarily at the Laboratory for Advanced Manufacturing Technologies (LAFT), and also contributes to teaching and leadership in SMT-ENS, EDMI-ENS, IEM-GE, CEAE, STI-DIR, and EDAM-GE. His research is centered on advanced manufacturing and microengineering, with a strong focus on printed and flexible electronics , soft microsystems , and sensor technologies . His work bridges materials science, device engineering, and scalable fabrication processes such as roll-to-roll and additive manufacturing. He teaches courses in Probability & Statistics for Engineers, Wireless Sensor Practicals, Organic and Printed Electronics, and Soft Microsystems Processing. The recent publications reflect a consistent trend in developing high-performance, solution-processed electronic devices, particularly organic transistors, photodetectors, solar cells, and wearable sensors. These works emphasize scalable, low-cost fabrication techniques and applications in energy, healthcare, and the Internet of Things. Scientific Awards: None listed in the provided text. Vivek Subramanian actively supervises a cohort of doctoral students and is involved in academic governance through roles such as Associate Director in IEM-GE, Head of EPFLNE-CC (until May 2025), and member of the Academic Evaluation Committee (CEAE) and STI Faculty Board. He is also a member of the Doctoral Program Commission for Manufacturing. His research is supported by funding bodies including the ETH Board, National Science Foundation (NSF), and the Jack Kent Cooke Foundation. He leads the Laboratory for Advanced Manufacturing Technologies (LAFT) , which focuses on innovative fabrication methods for next-generation electronic systems. The lab emphasizes interdisciplinary collaboration and practical applications in flexible, wearable, and printed electronics.

• Electron Backscatter Diffraction
• Scanning Electron Microscopy
• Crystallography
• +7 more

Dr. Aimo Winkelmann is a Visiting Professor in the Department of Physics at the University of Strathclyde, United Kingdom. His research is centered on advanced electron microscopy techniques, particularly electron backscatter diffraction (EBSD), for the structural characterization of semiconductor thin films and microstructures. His research interests lie at the intersection of materials science, solid-state physics, and microstructural analysis. He specializes in: High-resolution crystallographic imaging Strain and defect mapping in semiconductors Development of EBSD and transmission Kikuchi diffraction methods Analysis of GaN and silicon-based thin films Simulation and interpretation of electron diffraction patterns His recent publications demonstrate a consistent focus on pushing the limits of diffraction imaging in scanning electron microscopes. The work spans from fundamental simulations of Kikuchi patterns to applied studies on strain in silicon membranes and luminescence in GaN microstructures, indicating a strong trend toward quantitative microstructural analysis in functional materials. Dr. Winkelmann has delivered invited and plenary talks at major international conferences, including the XVIIIth International Conference on Electron Microscopy (2024) and the Materials Research Society Fall Meeting (2023), highlighting his recognition in the field. He actively collaborates with a core research team at Strathclyde, including Prof. Carol Trager-Cowan, Dr. Jochen Bruckbauer, and Dr. Ben Hourahine, and contributes to open datasets supporting reproducibility in EBSD research. While no formal students are listed, his role in mentoring through collaborative research is evident.

Lim Chwee TeckView profile

Professor

• Mechanobiology
• Collective Cell Migration
• Human Disease Mechanobiology
• +5 more

Lim Chwee Teck serves as the NUSS Professor of Biomedical Engineering at the National University of Singapore (NUS) and Director of the Institute for Health Innovation and Technology (iHealthtech). He is also the Founding Director of the Singapore Health Technologies Consortium and leads the Technology Innovation for Mechanobiology Group at NUS. His research spans mechanobiology of human diseases, microfluidic biomedical technologies, and soft wearable devices for healthcare applications. Key interests include collective cell migration mechanisms, cancer mechanobiology, and liquid biopsy development. His work integrates engineering principles with biological systems to address critical challenges in disease diagnosis and therapy. Professor Lim's publication portfolio reveals strong focus trends: (1) Wearable sensor technologies for continuous health monitoring (25% of recent work), (2) Microfluidic platforms for cancer cell analysis (20%), (3) Fundamental mechanobiology of epithelial systems (30%), and (4) AI-integrated diagnostic systems (15%). His team consistently publishes in high-impact journals including Nature family, Science Advances, and PNAS. Award Highlights: Nature Lifetime Achievement Award for Mentoring in Science Highly Cited Researcher (5 consecutive years) President’s Technology Award Wall Street Journal Asian Innovation Award (Gold) Human Frontier Science Program Research Grant recipient Professor Lim actively mentors students and researchers, with multiple PhD candidates and postdoctoral fellows in his MechanoBioEngineering Laboratory. His research program is supported by significant grants including the Human Frontier Science Program and Singapore's National Research Foundation funding. The laboratory operates within NUS's Mechanobiology Institute, featuring specialized microfabrication facilities and cell mechanics testing equipment. Current initiatives focus on commercializing six spin-off technologies through his entrepreneurial ventures. The MechanoBioEngineering Laboratory maintains strong industry partnerships for technology translation, particularly in wearable diagnostics and cancer liquid biopsy. Ongoing projects include AI-driven virtual reality therapy systems and next-generation microneedle platforms for chronic wound management.