Thomas Lykke Andersen is an Associate Professor and Head of the Ocean and Coastal Engineering Research Group at Aalborg University's Department of the Built Environment within the Faculty of Engineering and Science. His work focuses on coastal engineering, wave energy systems, and physical modeling of marine structures. Key projects include the RESCUER initiative enhancing coastal resilience and leadership in the WaveLab facility. Research interests span breakwater design, wave-structure interactions, and hydraulic engineering. Notable contributions include advancements in wave separation algorithms (NL-SORS), stability analysis of rock armor systems, and offshore wind turbine foundation dynamics. His lab conducts large-scale physical experiments addressing coastal protection challenges. Publications emphasize wave dynamics, overtopping prediction, and innovative coastal infrastructure. Supervision includes one documented PhD student. Media engagements highlight contributions to coastal engineering solutions and university teaching methodologies during the pandemic.
Mingyang Tan is a Postdoctoral Research Associate at the Department of Mechanical and Industrial Engineering, Northeastern University. Their research focuses on intersections of biomedical engineering, rheology, 3D printing, and materials science, with applications in pharmaceutical manufacturing and biofluid dynamics. Role: Postdoctoral Research Associate Department: Mechanical and Industrial Engineering Email: mi.tan@northeastern.edu Research Interests Mingyang Tan's work explores rheological properties of complex systems, including 3D bioprinting for tissue engineering, magnetic particle dynamics in fluids, and microrheology of biofluids. Their studies address biomedical applications like plasma coagulation and osteochondral graft development, alongside innovations in pharmaceutical manufacturing using binder jetting 3D printing . Publication Trends Recent articles highlight advances in additive manufacturing , biomaterials , and microrheology , particularly for medical and pharmaceutical contexts. Key themes include magnetic alignment of particles, sustained drug delivery , and anisotropic suspensions . The work spans computational simulations, experimental validations, and translational applications. Scientific Awards Advising & Grants No formal advising or grant information is explicitly mentioned in the provided text. Labs & Collaborations Details about specific labs, teams, or collaborative networks are unavailable in the provided materials.
Semih Doğu is an Assistant Professor at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University . His research focuses on Electromagnetic Theory , Microwave Imaging , Inverse Scattering Problems , and Antenna Design . Doctorate: Istanbul Technical University (2023) Master's: Istanbul Technical University (2017) Bachelor's: Yıldız Technical University (2015) His research interests emphasize microwave-based diagnostics, including: Microwave imaging for breast cancer detection Antenna optimization for medical and security applications Inverse problem solving in electromagnetic systems Through-the-wall imaging for surveillance Semih Doğu's recent publications demonstrate his expertise in: Neural networks for temperature monitoring in hyperthermia Ku/Ka-band antenna designs for satellite systems Microwave salinity sensing Algorithm development for improved imaging accuracy He contributes to the ITU Electromagnetics Research Group , participating in projects like: Microwave Brain and Breast Imaging Device Development Compressed Sensing for Energy-Efficient Communication Microwave Tissue Analysis
Gaurav Arya is a Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University, with additional appointments in the Department of Chemistry and Biomedical Engineering. His research laboratory employs physics-based computational tools to investigate biological and soft-material systems at the molecular scale. Ph.D. from University of Notre Dame (2003) B.Tech. from Indian Institute of Technology Delhi (1998) Research focuses on: Molecular modeling and simulations Statistical mechanics DNA nanotechnology Viral DNA packaging Chromatin biophysics Polymer-nanoparticle composites Recent research trends emphasize AI-driven materials discovery and programmable DNA nanostructures. Key grants include: NSF DMREF: Architecting DNA nanodevices (2023-2027) DOE Mesoscale Self-Assembly (2020-2027) UC San Diego Ligand-Nanocrystal Interlayer Studies (2024-2027) Scientific contributions: Featured in 2025 Nature Communications on DNA superstructures 2022 Science Advances on DNA nanodevice reconfiguration 2021 PNAS on viral DNA packaging motors
Hachem Kassem is a Lecturer in Ocean Engineering at the University of Southampton, affiliated with the School of Ocean and Earth Science. He specializes in coastal hydrodynamics, sediment dynamics, and nature-based solutions to climate-mediated geohazards. His current roles include leading the MSc Programme in Applied Coastal and Offshore Geoscience and managing coastal research laboratories equipped with flumes and sediment analysis facilities. Education and Career: Hachem holds a PhD and MSc in relevant fields, and has been a Fellow of the Higher Education Academy (FHEA). His career includes: 2022–present: Lecturer in Ocean Engineering, University of Southampton 2017–2021: Teaching and Research Fellow in Coastal Morphodynamics 2015–2017: Part-time Teaching Fellow in Coastal Morphodynamics and GIS 2010–2012: Lecturer in Civil Engineering at The London College Research Interests: Focus on coastal engineering, flow-structure interactions, and adaptive solutions for hazards like erosion and flooding. Key projects include Environment Agency-funded work in Pevensey Bay using X-band radar and autonomous systems, and collaborations on eco-reefs and subsea cable protection with industry partners. Teaching: Coordinates modules on coastal sediment dynamics and applied oceanography. Contributes to geoscience curricula and supervises student projects on coastal processes and engineering. External Roles: Serves as consultant for projects involving scour protection, seagrass health, and tidal interactions at nuclear sites. Leads the Nature-based Ocean Solutions Special Interest Group under the Southampton Marine and Maritime Institute. Labs & Infrastructure: Oversees coastal teaching/research labs with flumes and field monitoring equipment. Collaborates on geospatial data projects for nature-based solutions in Studland Bay.
S.V. Sreenivasan is a Professor and holds the Cockrell Family Regents Endowed Chair #7 in Engineering at The University of Texas at Austin. He is a leading nanotechnologist specializing in high-throughput nanofabrication techniques for electronics, displays, and healthcare applications. As the Director of the NSF-funded NASCENT Center, he leads interdisciplinary research in nanomanufacturing systems. He co-founded Molecular Imprints Inc. and currently serves as Chief Technologist at Canon Nanotechnologies, Inc. His research focuses on scalable nanotechnologies, including molecular imprint lithography, metal-assisted chemical etching, and advanced 3D integrated circuits. He has authored over 130 papers and holds 100+ patents. His work emphasizes bridging academic innovation with industrial applications, particularly in semiconductor manufacturing and nanoelectronics. Dr. Sreenivasan has received prestigious awards such as the ASME Leonardo da Vinci Award (2009), TAMEST O'Donnell Award (2010), and election to the National Academy of Engineering (2021). He is a Fellow of the National Academy of Inventors (2016) and ASME (2020). His research groups develop novel fabrication methods like nanoshape imprint lithography and precision inkjet printing systems. Collaborations include Magic Leap and Canon, focusing on next-gen displays and semiconductor tools. He advocates for accessible nanotechnology through portable fabrication platforms.
Nadia Figueroa is the Shalini and Rajeev Misra Presidential Assistant Professor in the Mechanical Engineering and Applied Mechanics (MEAM) Department at the University of Pennsylvania . She holds secondary appointments in Computer and Information Science (CIS) and Electrical and Systems Engineering (ESE) , and is a core faculty member at the General Robotics, Automation, Sensing & Perception (GRASP) Laboratory . Before joining Penn, she was a Postdoctoral Associate at MIT's CSAIL under Prof. Julie A. Shah and earned her Ph.D. at EPFL with Prof. Aude Billard. Her academic journey includes research roles at DLR and NYU Abu Dhabi , along with degrees from Monterrey Tech (B.Sc.) and TU Dortmund (M.Sc.) . Education: Ph.D. in Robotics, Control and Intelligent Systems, EPFL (2019) M.Sc. in Automation and Robotics, TU Dortmund B.Sc. in Mechatronics, Monterrey Tech Her research focuses on adaptive intelligence for robots to learn from and interact with humans, emphasizing fluid collaboration in safety-critical applications. Key areas include reactive control algorithms , human-robot co-manipulation , and real-time navigation . Techniques integrate machine learning , control theory , and perception to ensure stability, safety, and robustness in dynamic environments. Recent work trends highlight reactive motion policies for imitation learning, dynamical systems modulation with non-convex obstacles, and EEG-based intent detection for assistive robotics. She also explores soft robotics with MORF systems and SE(3) control for end-effector precision. Her publications reflect interdisciplinary approaches at the intersection of robotics, AI, and human biomechanics . She has taught MEAM-520 Introduction to Robotics at Penn and served as Head Teaching Assistant at EPFL for courses like MICRO-401 Machine Learning Programming . Her Figueroa (Human-Centered) Robotics Lab , established in 2022, collaborates with institutions like MIT and EPFL to advance fluid human-robot autonomy.
Dr. Muhammad Salman is an Associate Professor in the Department of Mechanical Engineering at Kennesaw State University (KSU), where he has served since 2012 after the merger of Southern Polytechnic State University into KSU. He holds a PhD in Mechanical Engineering from Georgia Institute of Technology (2012), an M.S. from Georgia Tech (2008), and prior degrees from the University of Engineering and Technology in Lahore, Pakistan, including a B.S. (1998) and M.S. (2003). He also completed M.S.-level courses in Mechatronics Engineering at TUHH, Germany (2005). His research focuses on biomechanics, particularly in dynamics and vibrations of human musculoskeletal systems, with an emphasis on non-invasive measurement techniques like surface wave and shear wave methods to assess muscle/tendon stiffness. He has developed cost-effective devices for stiffness quantification and published extensively in journals such as Journal of Biomechanics and Acoustical Society of America . Dr. Salman has received notable recognition, including the PhD Fulbright Scholarship (2006) , and has secured grants totaling over $500,000, including an NSF CAREER Award (though not funded) and OVPR grants for tendon stiffness research. His work involves collaborations with students on projects like motorcycle stability systems, muscle fatigue analysis, and biomedical sensor development. He teaches courses in dynamics, vibrations, thermodynamics, and design, and has mentored numerous undergraduates and graduates in research through programs like NCUR and GURC. His lab emphasizes experimental research, with a focus on biomechanical applications of vibration analysis and sensor technology. Recent projects include developing low-cost stiffness measurement tools and studying tendon behavior under fatigue. He actively participates in conferences such as ASME IMECE and the American Society of Biomechanics, showcasing innovations in both mechanical engineering and biomedical research.
Magnus O. Borgh is an Associate Professor in Physics at the University of East Anglia's School of Engineering, Mathematics and Physics. He is a member of the Centre for Photonics and Quantum Science and Quantum Matter, focusing on theoretical and computational physics in ultracold atoms, quantum optics, and topological phenomena in Bose-Einstein condensates. PhD in Physics, Lund University, Sweden Swedish Research Council Postdoctoral Stipend, University of Cambridge Leverhulme Early Career Fellowship, University of Southampton EPSRC Postdoctoral Fellowship, University of Southampton His research explores quantum fluids , particularly topological objects like vortices and defects in spinor Bose-Einstein condensates, and light-matter interactions at atomic scales. Recent projects include predicting 'superatom' behavior in cooperative light scattering, detecting phonon dynamics via photon responses, and describing spin-Alice rings with parallels to quantum-field theory. Key trends in his publications highlight topological defect structures (monopoles, Alice rings, vortices), quantum phase transitions , and non-Abelian symmetries in spinor systems. He investigates how discrete and continuous symmetries influence defect dynamics and applies theoretical models to experimental scenarios, often collaborating internationally. Swedish Research Council Postdoctoral Stipend Leverhulme Early Career Fellowship EPSRC Postdoctoral Fellowship Collaborative grants with institutions like University of Cambridge and University of Southampton Borgh supervises research projects and advises self-funded PhD candidates. He participates in school engagement lectures (e.g., Quantum Mechanics and Entanglement, 2023) and serves as an external examiner at Newcastle University. His work resides in the Centre for Photonics and Quantum Science , integrating computational methods with experimental collaborations.
Miloš Matejić serves as an Associate Professor at the University of Kragujevac's Faculty of Engineering Sciences, within the Department of Mechanical Constructions and Mechanization. His academic position involves active research and teaching in mechanical systems design. Research interests center on advanced mechanical engineering topics including: Cycloid drive efficiency optimization and stress analysis Tribological testing methodologies and material interactions Computational modeling of gear systems using FEM Parametric design automation for mechanical components Composite materials performance in dynamic applications Recent publications demonstrate strong focus on experimental validation of cycloid reducers, novel tribometers, and material optimization. No awards, student advisories, or grant activities are documented in available sources. Institutional collaboration occurs through the Faculty of Engineering Sciences' laboratories and research centers.
Evan Pavka is an Assistant Professor in the School of Interior Design at Toronto Metropolitan University. His research explores intersections of power, memory, gender, sexuality, media, and the built environment, often through writing and publishing. He holds a BID (Hons.) and MArch. Pavka has contributed to international journals like Interiors: Design/Architecture/Culture , Azure , Canadian Art , and others, with work presented globally. His academic roles include Associate Editor for Interiors and editorial contributions to national/international platforms. Education : Bachelor of Interior Design (Honors) Master of Architecture Research Interests : Pavka investigates memory, gender, and sexuality through the lens of interior design and architecture. He analyzes how spaces reflect and shape historical narratives, often critiquing normative frameworks in design. His work bridges theory and practice, addressing contemporary discourse on nonmonogamous living, queer spatial practices, and material ecologies. Publications : Pavka's articles and book chapters span topics from queer domesticity to materiality studies. Recent work includes explorations of monumental memory, nonmonogamous spatial configurations, and fluid interior ecologies. His writing bridges academic and popular platforms, emphasizing accessibility in architectural critique. Awards & Grants : No specific awards or grants are listed, though his prolific publication record reflects sustained academic engagement. Pavka frequently presents at international conferences and exhibitions in cities like Banff, Brighton, and Stockholm. Labs/Teams : While no specific lab affiliation is mentioned, his editorial role at Interiors and collaborative publications suggest active participation in academic networks and design communities.
Dr. Christopher Roy is a Professor and Assistant Department Head for Graduate Studies in the Aerospace and Ocean Engineering Department at Virginia Tech (since 2013). He holds a Ph.D. from North Carolina State University (1998) and has held roles at Sandia National Laboratories and Auburn University. His research focuses on Computational Fluid Dynamics (CFD) , Verification and Validation , Turbulence Modeling , and Uncertainty Quantification , with notable contributions to CFD validation frameworks and error estimation techniques. He leads the CFD Research Group and co-teaches courses like Computational Fluid Dynamics and Verification and Validation in Scientific Computing . Education : Ph.D., 1998, Aerospace Engineering, North Carolina State University M.S., 1994, Aerospace Engineering, Texas A&M University B.S.E., 1992, Mechanical Engineering and Materials Science, Duke University Research Interests : Dr. Roy’s work emphasizes advancing CFD methodologies for complex flows, including turbulence modeling for hypersonic and high Reynolds number flows, and validation strategies for non-equilibrium boundary layers. He explores computational acceleration techniques (e.g., GPU-CPU hybrid systems) and error transport equations to improve simulation accuracy and efficiency. His team collaborates with NASA and industry on challenges like the VT-NASA CFD Validation Challenge and BlueRidge CFD solver development. Awards : Presidential Early Career Award for Scientists and Engineers (2006) Associate Fellow, AIAA (2006) Faculty Fellow Award, Virginia Tech (2009) Advising and Grants : Dr. Roy oversees graduate studies and has secured grants for research in CFD validation and turbulence modeling. His work bridges academic, industrial, and federal collaborations, including projects with Sandia National Labs and NASA. He actively contributes to AIAA technical committees and organizes CFD validation workshops. Labs and Teams : He leads the CFD Research Group at Virginia Tech, focusing on code development, validation experiments, and computational methodologies. His team develops tools like the SENSEI and BlueRidge solvers and participates in NATO-AVT349 projects for naval applications.
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.
Miao Li is a Senior Lecturer in Engineering at Charles Sturt University, affiliated with the School of Computing, Mathematics and Engineering. She is a member of the Imaging and Sensing Research Group and the Sustainability in Engineering Research Group (SERG) at the Gulbali Research Institute. Her academic journey includes a PhD in Civil Engineering from Griffith University and earlier degrees in geological and engineering geology from Chinese institutions. Doctor of Philosophy (Civil Engineering) Master of Science (Geological Engineering) Bachelor of Science (Engineering Geology) Dr Li's research spans computational mechanics, numerical modeling, wastewater treatment, and non-linear structural dynamics, with a strong focus on sustainable engineering solutions. Her work contributes to UN Sustainable Development Goals through innovations in geotechnical systems, energy storage, and low-carbon construction. She has published extensively in top journals, with recent work focusing on adaptive mesh refinement, rock damage modeling, and frost heave in soils. Her recent publications highlight a trend toward high-fidelity numerical simulations and experimental validation in geotechnical and structural systems, particularly under extreme or cyclic loading conditions. She applies computational fluid dynamics and finite element methods to solve complex engineering problems in energy, infrastructure, and environmental resilience. Executive Dean Teaching Award (2024) Fellow of Advance HE (2025) Dr Li is a registered thesis supervisor and actively mentors students through research projects and industry placements. She has secured research recognition through awards and grants, and her work is frequently covered in press and media, reflecting its real-world impact. She participates in major international conferences in ocean, offshore, and structural engineering, and contributes to editorial and academic organizing roles. She leads research initiatives within the Imaging and Sensing Research Group and SERG, focusing on smart sensing, sustainable materials, and computational modeling for resilient infrastructure.
Shaohui Foong is an Associate Professor in the Engineering Product Development (EPD) pillar at Singapore University of Technology and Design (SUTD). He previously served as a Visiting Assistant Professor at MIT's Department of Mechanical Engineering (2011). His research focuses on innovative robotics and UAV systems, medical technology, and design-centric pedagogy. Core projects include magnetic localization for medical devices, nature-inspired aerial robotics (e.g., THOR hybrid UAV), and competitive engineering design activities like Designettes. Research interests span biomimetic flight systems, autonomous navigation, and interdisciplinary educational frameworks. Notable innovations include the Transformable HOvering Rotorcraft (THOR), which merges fixed-wing and rotor-wing capabilities, and magnetic localization for nasogastric tube tracking. His work emphasizes practical applications in healthcare, infrastructure inspection, and environmental monitoring. Teaching emphasizes ethical engineering practice and hands-on design. He actively mentors students across PhD, master’s, and undergraduate levels, offering research opportunities in robotics, control systems, and medical technology. Collaborative projects with industry and academic partners are encouraged, with a focus on sustainability and technological innovation. Current research trends reflect a blend of bio-inspired design, advanced control algorithms, and cross-disciplinary problem-solving. Recent publications highlight advancements in monocopter dynamics, hybrid UAV architectures, and sensor integration for medical and industrial applications.
