جست‌وجوی استاد و پژوهشگر

Marina Freire-Gormalyمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Water Treatment Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Marina Freire-Gormaly is an Assistant Professor in the Mechanical Engineering Department at York University's Lassonde School of Engineering. Her research focuses on renewable energy-powered water treatment systems, machine learning for smart design, advanced manufacturing, and sustainable engineering solutions for remote communities. She holds a PhD and M.A.Sc. from the University of Toronto, specializing in carbon capture and storage technologies. She has worked on nuclear energy projects at Ontario Power Generation and contributed to World Bank sustainability assessments. She currently chairs the Canadian Society of Mechanical Engineers' Student and Young Professional Affairs committee. Education: PhD in Mechanical Engineering, University of Toronto M.A.Sc. in Mechanical Engineering, University of Toronto Research Interests: She pioneers solar-powered reverse osmosis systems, energy recovery mechanisms, and IoT-driven smart systems. Her lab explores nanotechnology applications in environmental sustainability, including carbon capture and aquatic remediation. She integrates machine learning for optimizing energy-water nexus challenges in off-grid regions. Key Contributions: Developed models for membrane fouling in desalination systems, advanced pore network characterization for geologic CO2 storage, and designed automated renewable energy systems. Her work bridges engineering innovation with global sustainability goals. Grants & Collaborations: Engages with industries like Honda Canada and Trane Canada on sustainability initiatives. Supervises graduate students in emerging areas like nanobubble technology and direct air capture systems. Lab Activities: The Freire-Gormaly Lab focuses on clean energy-water systems, with current projects involving nano-technology for space applications (Canadian Space Agency collaboration) and life cycle assessments of carbon storage technologies.

• Photonics
• Microresonators
• Nonlinear Optics
• +۳ مورد دیگر

Manuel Crespo-Ballesteros is a Research Fellow at the Aston Institute of Photonic Technologies (AiPT) within the College of Engineering and Physical Sciences at Aston University. He holds a BEng in Electronics and Automation Engineering from the Technical University of Cartagena (2007), an MSc in Theoretical Physics from the University of Murcia (2012), and a PhD in Radar Systems from the University of Birmingham (2016). His research focuses on Surface Nanoscale Axial Photonics (SNAP) technology, particularly microresonators, nonlinear optics, and optical frequency combs. He has contributed to advancements in microresonator fabrication, resonant tunneling phenomena, light-by-light transportation, and parametrically modulated frequency combs. His work bridges quantum mechanics and photonics, with applications in sensing, communications, and optical computing. Education: BEng in Electronics and Automation Engineering, Technical University of Cartagena, Spain (2007) MSc in Theoretical Physics, University of Murcia, Spain (2012) PhD in Radar Systems, University of Birmingham, UK (2016) Research Interests: Crespo-Ballesteros investigates microresonators created via SNAP technology, emphasizing their picometer precision and quantum-mechanical analogies. Key areas include resonant tunneling, nonlinear soliton-based light transport, and parametric frequency comb generation. His work explores applications ranging from high-speed communications to quantum physics simulations, such as black hole analogues using time-dependent potentials. Grants and Labs: Active in AiPT’s advanced photonics research, his lab develops cutting-edge SNAP microresonators with applications in precision spectroscopy and sensing. Collaborations include projects on fiber-optic bending-induced tunability and soliton-based transportation systems.

Christian Lerchمشاهده پروفایل

مدرس

• Innovation Management
• Digital Transformation
• Manufacturing Industries
• +۴ مورد دیگر

Dr. Christian Lerch is a prominent researcher and coordinator at the Fraunhofer Institute for Systems and Innovation Research ISI in Karlsruhe, specializing in innovation management, industrial transformation, and digitalization. He holds a PhD from Freie Universität Berlin and lectures at Zeppelin University and the University of Applied Sciences Karlsruhe, focusing on service economics and business model innovation. His work bridges academic and applied research, emphasizing servitization, Industry 4.0/5.0, and sustainability in manufacturing. Affiliations: Fraunhofer ISI (since 2008), Zeppelin University (lecturer), University of Applied Sciences Karlsruhe (lecturer). Education: PhD in Innovation Management from Freie Universität Berlin (2014), studies in Economics Engineering at Karlsruhe Institute of Technology (KIT). Research Interests: His work centers on innovation dynamics in manufacturing industries, digital transformation, AI-readiness, platform-based business models, and resilience strategies. He explores how firms adapt to trends like servitization, Industry 5.0 human-technology synergy, and green economy challenges. Recent studies focus on policy implications of China's industrial strategies and the role of competence management in fostering innovation. Articles Trends: His publications emphasize the interplay between technological advancements and human-centric approaches, particularly in Industry 5.0. Key themes include AI-driven resilience, platformization pathways, and the evolution of production paradigms. He also analyzes digital servitization maturity models and the socio-economic impact of collaborative economy models in manufacturing. Awards: Recognized with a Best Paper Award (2015) for research on digitalization's role in manufacturing's service transformation. Active in professional societies like the Deutsche Gesellschaft für System Dynamics. Grants & Labs: Led projects on AI-readiness, Digital Maturity Checks, and the economic relevance of B2B platforms. Involved in the European Manufacturing Survey (EMS) network. Coordinates the Business Unit Industrial Change and New Business Models at Fraunhofer ISI.

Stacey F. Bentمشاهده پروفایل

استاد

• Surface and Interfacial Chemistry
• Atomic Layer Deposition
• Materials Synthesis
• +۷ مورد دیگر

Stacey F. Bent is the Jagdeep and Roshni Singh Professor in the School of Engineering at Stanford University, where she serves as Professor of Chemical Engineering with courtesy appointments in Chemistry, Electrical Engineering, and Materials Science and Engineering. She also holds the position of Vice Provost for Graduate Education and Postdoctoral Affairs and is a Senior Fellow at the Precourt Institute for Energy. Her academic journey began with a B.S. in Chemical Engineering from UC Berkeley (1987) followed by a Ph.D. in Chemistry from Stanford University (1992), after which she completed postdoctoral work at AT&T Bell Laboratories and served as an assistant professor at New York University before joining Stanford in 1998. Dr. Bent's research focuses on understanding and controlling surface and interfacial chemistry with applications in semiconductor processing, micro- and nanoelectronics, nanotechnology, and sustainable energy. Her group employs molecular-level approaches to study semiconductor surface functionalization, atomic layer deposition mechanisms, nanoscale light absorption materials, photovoltaic interface engineering, and catalyst/electrocatalyst deposition. Her lab maintains extensive facilities including over ten ALD/MLD reactors, ultra-high vacuum chambers with in situ XPS capabilities, and various characterization tools for materials analysis. Her recent publications reveal strong focus areas in atomic layer deposition techniques, battery interface engineering, catalyst design for syngas conversion, and nanoscale patterning technologies. The research spans fundamental surface science to practical energy applications, with particular emphasis on developing precise materials synthesis methods for advanced electronic and energy systems. Among her numerous accolades are election to the National Academy of Engineering (2020), the ACS Award in Surface Chemistry (2018), and the ALD Innovator Award (2021). She has also received multiple teaching awards including the Tau Beta Pi Award for Excellence in Undergraduate Teaching (2006) and the Stanford Medal for Faculty Excellence Fostering Undergraduate Research (2013). Braskem Award for Excellence in Materials Engineering and Science (AIChE) (2021) ALD (Atomic Layer Deposition) Innovator Award (2021) National Academy of Engineering (2020) ACS Award in Surface Chemistry (2018) Fellow of the American Chemical Society (2013) AVS Fellow (2006) Dr. Bent has mentored over 70 graduate students and postdocs who have gone on to successful careers in academia, industry, and government. Her research group maintains strong collaborations with national laboratories and industry partners, particularly in semiconductor manufacturing and energy technologies. She previously served as Director of the TomKat Center for Sustainable Energy for 10 years and as co-Director of the Center on Nanostructuring for Efficient Energy Conversion (CNEEC), a DOE Energy Frontier Research Center. The Bent Research Group operates state-of-the-art facilities including multiple ALD/MLD reactors capable of depositing over 30 materials, in situ characterization tools, and access to Stanford's shared equipment facilities for advanced materials analysis. The group's international composition (with members from over 10 countries) reflects its global impact in surface science and materials engineering.

Neville Hoganمشاهده پروفایل

استاد

• Rehabilitation Engineering
• Robotics
• Motor Neuroscience
• +۳ مورد دیگر

Neville Hogan is a Professor of Mechanical Engineering and Brain & Cognitive Sciences at MIT, and Director of the Newman Laboratory for Biomechanics and Human Rehabilitation. He holds a Ph.D. from MIT and has been a faculty member since 1979, leading roles in the Mechanical Engineering department's System Dynamics and Control division. His research bridges biology and engineering, focusing on motor neuroscience, rehabilitation robotics, and human-robot interaction. He co-founded Interactive Motion Technologies, Inc. and is a board member at Advanced Mechanical Technologies, Inc. Education: Dip. Eng. (Dublin College of Technology), M.S., M.E., and Ph.D. (MIT) Research interests include developing robots for neurological rehabilitation, such as gentle physiotherapy devices for stroke patients. His work emphasizes physically cooperative machines and human balance control analysis. Awards include Honorary Doctorates from Delft University and Dublin Institute of Technology, and the Silver Medal from Ireland’s Royal Academy of Medicine. Awards: Honorary Doctorates, Silver Medal, and other distinctions Led the Newman Lab, focusing on biomechanics and human rehabilitation. Advised numerous students (not listed here). His publications explore dynamic primitives, impedance control, and human-robot interaction, with applications in exoskeletons and rehabilitation therapies.

Robert Xiaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Robert Xiao is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Designing for People research cluster. He holds a Ph.D. from Carnegie Mellon University and a BMath from the University of Waterloo. His research focuses on interactive technologies, including VR/AR interfaces, sensing systems, and cybersecurity. Notable contributions include Lumitrack (tracking system), TouchTools (touch interaction), and CVE-2023-37271 (Python sandbox exploit). Education: Ph.D., Human-Computer Interaction Institute, Carnegie Mellon University; BMath, Computer Science & Combinatorics, University of Waterloo Affiliations: Core member of UBC's Designing for People cluster Research interests span novel input modalities, mixed-reality systems, and security challenges. He actively competes in DEF CON CTF (multiple 1st places) and publishes in top venues like CHI, UIST, and ISMAR. Recent work explores VR decision-making, low-latency tracking, and collaborative AR/VR environments. Awards: SIGCHI Outstanding Dissertation Award, CHI Honorable Mention, DIS Honourable Mention Teaching includes courses on computer systems (CPSC 213), human-computer interaction (CPSC 554X), and cybersecurity (CPSC 436S). His lab develops tools like SurfShare (surface sharing) and VirtualNexus (collaborative AR).

• Biotechnology
• Systems Engineering in Bioprocessing
• Model-Based Tools
• +۴ مورد دیگر

Professor Cleo Kontoravdi is a Professor of Biological Systems Engineering at the Department of Chemical Engineering, Imperial College London, within the Faculty of Engineering. Her roles include Director of Postgraduate Studies (2021–present) and Postgraduate Admissions Tutor (2018–2021). She holds affiliations with key research centers such as the Centre for Process Systems Engineering, Centre for Synthetic Biology, and Future Vaccine Manufacturing Research Hub. Her research focuses on applying systems engineering principles to bioprocessing, integrating model-based tools like sensitivity analysis and optimization with experimental work on mammalian cell cultures and vaccine production. Key areas include metabolic flux analysis, media optimization, and multiscale modeling. Her recent publications highlight advancements in hybrid modeling frameworks, mRNA vaccine process design, and metabolic engineering of CHO cells. She actively contributes to vaccine manufacturing strategies and sustainable biopharmaceutical supply chains. Education: PhD (2007) and MEng (2002) in Chemical Engineering from Imperial College London. Professional experience spans academic roles (since 2007) and industry R&D at Lonza Biologics (2006–2007). Her work bridges computational biology, bioprocess engineering, and systems biology, addressing challenges in vaccine development and production efficiency. Awards: Not explicitly listed in the provided text. Research grants and collaborations are implied through her involvement in high-impact projects like the Future Vaccine Manufacturing Hub. She advises on bioprocess optimization, glycoengineering, and biomanufacturing sustainability.

Theodor Freiheitمشاهده پروفایل

دانشیار

• Manufacturing Systems Engineering
• Design of Manufacturing and Service Systems
• Reliability and Productivity
• +۱۵ مورد دیگر

Theodor Freiheit is a Research Associate Professor in the Department of Mechanical Engineering at the University of Michigan, College of Engineering. His work focuses on integrating technical and managerial aspects of manufacturing and design systems. Manufacturing systems engineering Design of manufacturing and service systems Reliability and productivity Markov chain models with predictive control Interaction between manufacturing process parameters and failure modes Product quality Influence of production system approaches across industries Applications of controls to manufacturing systems Design theory and methodology Product development Lean product design Business-product-process integration in engineering systems Flexible manufacturing systems design His research explores the intersection of engineering design, systems reliability, and control theory, with emphasis on optimizing manufacturing processes and cross-disciplinary engineering management frameworks.

Ed Chienمشاهده پروفایل

استادیار

• Computer Science
• Graphics
• Computational Engineering
• +۳ مورد دیگر

Ed Chien is an Assistant Professor at Boston University's Department of Computer Science within the College of Arts & Sciences. He specializes in applying differential geometry and topology to graphics, computational engineering, and machine learning. Previously, he was a postdoctoral researcher at MIT's CSAIL and Bar-Ilan University. His work focuses on mathematically rigorous solutions to problems in geometric data processing and optimal transport. Education PhD in Mathematics, Rutgers University (2015) A.B. in Mathematics & Physics, Dartmouth College (2009) Research Highlights Dr. Chien's research includes fundamental studies on hexahedral mesh topology for Finite Element Modeling, optimal transport applications in machine learning, and singularity-free geometric algorithms. His work bridges theoretical mathematics with computational tools for engineering and graphics. Publications span top venues like NeurIPS, Eurographics, and SIGGRAPH, reflecting contributions to geometry processing and machine learning intersections. Program committee roles include Eurographics SGP (2019) and AAAI (2020). Awards & Recognition No specific awards listed, but notable service includes program committee memberships and peer-reviewed contributions to leading conferences. Grants & Advising Active in mentoring through academic positions but no explicit grant details provided. Research focuses on advancing geometric algorithms and optimal transport methodologies.

Deok-Ho Kimمشاهده پروفایل

استاد

• Stem cell engineering
• Tissue engineering
• Organs-on-chips
• +۷ مورد دیگر

Deok-Ho Kim, PhD, is a Professor in the Department of Biomedical Engineering at Johns Hopkins University. His research focuses on integrating nanotechnology, biomaterials, and mechanobiology to advance tissue engineering, regenerative medicine, and disease modeling. Key areas include stem cell engineering, organs-on-chips, and bio-inspired materials for drug screening and cell-based therapies. Education: PhD in Biomedical Engineering from Johns Hopkins University (2010), MS in Mechanical Engineering from Seoul National University (2000), and BS in Mechanical Engineering from POSTECH (1998). Research emphasizes understanding how mechanical and biochemical signals regulate cell behavior in health and disease. Notable work includes microphysiological systems (MPS) for precision medicine, spaceflight effects on cardiac function, and engineered heart tissue models. Recent studies highlighted the impact of microgravity on heart cells and the role of LOXL2 in hypertension. Laboratory: Kim Lab develops cutting-edge tools like nanopatterned electrodes and biomimetic substrates. Collaborations span academia and industry, with media features in Scientific American and coverage of heart-on-a-chip studies in space. Grants and Funding: Active in securing federal and foundation grants for tissue engineering and biomaterials research. Advising: No formal student list provided, but mentors trainees in multidisciplinary approaches.

Nima Monshizadeh Nainiمشاهده پروفایل

استاد

• Cyber-Physical Human Systems (CPHS)
• Control Theory
• Optimization
• +۵ مورد دیگر

Nima Monshizadeh Naini is a Professor in the Faculty of Science and Engineering at the University of Groningen. He holds the position of Chair of the IEM Program Committee and serves on the boards of ENTEG and YSEN. His academic journey includes a PhD in Control Systems from the University of Groningen (2013, Cum Laude), followed by postdoctoral research at the University of Cambridge (2016-2017) and the University of Groningen (2014). He has been an Assistant Professor since 2018 and was awarded the NWO Open Competition Grant in 2021. His research focuses on Cyber-Physical Human Systems (CPHS) , addressing two core areas: (1) Coordination of self-interested users in power systems and traffic networks using dynamic information design and game-theoretic mechanisms; and (2) Privacy-aware control and optimization with tailored encryption methods for dynamic systems. Applications include energy markets, microgrids, and smart grids. He has published extensively in top venues like IEEE CDC and Automatica, with key topics including privacy-preserving algorithms, distributed control, and optimal intervention design. His work contributes to UN Sustainable Development Goals related to affordable energy and responsible consumption. Education: PhD in Control Systems, University of Groningen (2013) Research Associate, University of Cambridge (2016-2017) Postdoctoral Researcher, University of Groningen (2014) Awards: Cum Laude distinction for PhD thesis (2013) NWO Open Competition Grant (2021) Advising & Grants: Supervised 5 PhD students Editorial roles in IEEE journals and conference proceedings Labs/Teams: Leading the Cyber-physical systems group within the Smart Manufacturing Systems institute.

• Thermodynamics
• Diffusion
• Phase Transformations
• +۳ مورد دیگر

Powder Metallurgy (MH2100) and has expertise in computational materials science. His research emphasizes predictive modeling of material behavior, including precipitation kinetics, sintering processes, and coating interactions. Notable areas include phase field modeling of discontinuous precipitation, spinodal decomposition in Fe-Cr alloys, and high-entropy alloy design. His studies bridge experimental data with computational tools like the YAPFI phase-field framework. Key themes in his publications span cemented carbides, Co-based entropic alloys, and tool wear mechanisms. He combines CALPHAD thermodynamic modeling with first-principles calculations to address challenges in materials processing and corrosion resistance. His work often addresses industrial applications, such as optimizing machining tools and additive-manufactured superalloys.

• Atomic Layer Deposition (ALD)
• Material Sciences
• Chemical Engineering
• +۳ مورد دیگر

Mikko Ritala is a Professor at the University of Helsinki's Department of Chemistry. His research focuses on atomic layer deposition (ALD), thin film materials, and catalytic processes. He leads the HelsinkiALD research infrastructure and has been a project manager for initiatives like the Intel-Ritala 2023-2026 corporate-funded project. Ritala has received the Alfred Kordelin Foundation Award (2010) for his contributions to materials science. His work spans interdisciplinary areas including energy materials, biomedical coatings, and environmental applications of advanced materials. Key research interests include developing novel ALD processes for functional thin films, optimizing photocurrent responses in energy systems, and exploring catalytic etching techniques. He actively collaborates internationally and organizes conferences such as the Materials for Advanced Metallization Conference (MAM2025) and the International Conference on Atomic Layer Deposition (ALD 2024). Ritala's research group has published extensively (>625 outputs) on topics like ALD-grown oxides, carbides, and fluorides, as well as applications in photovoltaics and environmental engineering. The HelsinkiALD laboratory under his leadership serves as a hub for ALD innovation and industrial partnerships.

Amir Asadiمشاهده پروفایل

دانشیار

• Scalable Manufacturing
• Multifunctional Composites
• Additive Manufacturing
• +۵ مورد دیگر

Amir Asadi is an Associate Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, holding the Corrie & Jim Furber '64 Faculty Fellow position. His research focuses on scalable manufacturing of multifunctional composites, structural energy systems, and advanced materials design. He leads the Polymer Composites Advanced Manufacturing (PCAM) Lab, which explores bottom-up fabrication techniques and additive manufacturing processes. Asadi holds a Ph.D. in Mechanical and Manufacturing Engineering from the University of Manitoba (2013), an M.S. in Mechanical Engineering from Iran University of Science & Technology (2006), and a B.S. in Mechanical Engineering from the same institution (2004). His work bridges molecular-level interactions with macroscale material performance, targeting applications in aerospace, e-mobility, and energy storage. Key research interests include structural battery/supercapacitor composites, additive manufacturing of polymer composites, and fast-rate manufacturing of thermoplastics. He has pioneered methods like supercritical CO₂-assisted atomization and cellulose nanocrystal-enabled interface tailoring to enhance composite performance. Asadi has received the NSF CAREER Award (2022) and has been an invited speaker at major conferences such as the Brazilian Conference on Composite Materials (2021) and Chalmers University’s “Materials for Tomorrow” event (2020). His lab’s innovations aim to revolutionize lightweight, multifunctional materials for industrial sectors. His research outputs include over 50 peer-reviewed articles, covering topics from nanocomposite interfaces to 3D-printed structural batteries. He collaborates with industry partners like the Air Force Research Lab and focuses on translating lab-scale innovations into scalable manufacturing solutions.

Timothy Jacobsمشاهده پروفایل

استاد

• Internal Combustion Engines
• Low-Temperature Combustion
• Alternative Fuels
• +۱ مورد دیگر

Timothy Jacobs is Professor and Head of Multidisciplinary Engineering at Texas A&M University, with joint appointment in Mechanical Engineering. His research advances combustion science, emission control, and alternative fuel applications. Education: Ph.D. Mechanical Engineering, University of Michigan (2005) M.S. Mechanical Engineering, University of Michigan (2002) B.S.E. Mechanical Engineering, University of Michigan (1999) Research focuses on fundamental combustion processes in natural gas engines, developing low-temperature combustion strategies and aftertreatment integration. Recent work optimizes prechamber ignition systems for large-bore engines and hydrogen production via piston reactors. Experimental diagnostics characterize cycle variability, unburned emissions, and flame dynamics. Publications demonstrate expertise in combustion modeling, engine control algorithms, and emission formation mechanisms. Applied research supports decarbonization of power generation and marine propulsion. Awards recognize teaching excellence and research leadership, including ASME Fellowship and university professorships. Secures funding for engine technology development from federal agencies and industry partners.