جست‌وجوی استاد و پژوهشگر

Dionisios G. Vlachosمشاهده پروفایل

استاد

• Catalysis
• Multiscale Modeling
• Circular Economy
• +۵ مورد دیگر

Roles & Affiliations: Dionisios G. Vlachos is the Unidel Dan Rich Chair in Energy Professor of Chemical & Biomolecular Engineering at the University of Delaware, with a joint appointment in Physics and Astronomy. He directs the Catalysis Center for Energy Innovation (CCEI), Delaware Energy Institute (DEI), and the University of Delaware node of RAPID. He also holds the ExxonMobil Visiting Chair Professorship at the National University of Singapore (2018–2021). Education: PhD in Chemical Engineering (1992, University of Minnesota), M.S. (1990, University of Minnesota), and a 5-year diploma from the National Technical University of Athens (1987). Research Focus: Dr. Vlachos pioneers multiscale modeling, catalysis for renewable fuels/chemicals, waste-to-value processes, and distributed manufacturing. His work integrates computational modeling with experimental catalysis to address global energy challenges. Recent efforts include polymer deconstruction, CO₂ utilization, and microwave-assisted reactions. Awards: Recipient of the 2020 Irving Wender Catalysis Award, 2016 Catalysis Club of Philadelphia Award, AAAS Fellow (2009), and multiple industry/university grants. His research has led to >600 publications, 40,000 citations, and an h-index of 106. Grants & Labs: Leads major initiatives like CCEI (an Energy Frontier Research Center) and DEI. His group collaborates on projects involving novel reactors (e.g., electrified washcoated systems), microwave chemistry, and AI-driven catalyst design. Active in bio-based materials and sustainable chemical processes.

Aditya Leleمشاهده پروفایل

استادیار

• Polymer Recycling
• Sustainable Materials
• Multiscale Modeling
• +۲ مورد دیگر

Aditya Lele is an Assistant Professor in Mechanical Engineering at Henry M. Rowan College of Engineering, Rowan University. His research develops computational methods for sustainable materials and processes. Core research areas: Plastic recycling technologies Non-equilibrium plasma processes Multiscale materials modeling Biofuel conversion Machine learning for chemistry Publications demonstrate innovative approaches to materials recycling and sustainable chemical synthesis, leveraging atomistic simulations and experimental validation. Recent work advances electrified depolymerization techniques and plasma catalytic systems for green chemistry applications. Leads computational efforts supporting circular economy goals through materials innovation.

Mike Tinskeyمشاهده پروفایل

استاد

• Intrapreneurship
• Electrification
• Energy Systems
• +۳ مورد دیگر

Mike Tinskey is a Professor of the Practice at Georgia Institute of Technology's College of Engineering, focusing on intrapreneurship, electrification, and energy systems. He leads Ford Motor Company's emerging business initiatives, including ultra-fast charging infrastructure (Ionity) and digital insurance (Ford Insure). His expertise spans automotive innovation, sustainability, and corporate venture creation. Education: MBA from University of Michigan (2000), MSEE from Georgia Tech (Control Theory & Digital Image Processing), and BSEE from Michigan State University (1990). He also completed Executive Education at Ross School of Business (Strategic Marketing) and University of Chicago (Mergers & Acquisitions). Research interests include fostering innovation within established organizations, electrified vehicle ecosystems, and energy infrastructure resilience. He advises startups like FixD and mentors Georgia Tech’s CreateX program. Tinskey holds 6 US patents and 15 global patents in technology and business innovation. His career includes founding Ford Commercial Services (telematics for fleets) and leading global electrification strategies for Ford’s Mustang Mach-E and other EVs. He serves on Georgia Tech’s Mechanical Engineering and ECE advisory boards, bridging academia-industry collaboration.

Fabio Widmerمشاهده پروفایل

پژوهشگر

• Electric mobility
• Energy management
• Thermal management
• +۶ مورد دیگر

Fabio Widmer is a PhD researcher at the Institute for Dynamic Systems and Control (IDSC) within ETH Zürich's Department of Mechanical and Process Engineering. He received his B.Sc. and M.Sc. degrees in mechanical engineering from ETH Zürich in 2015 and 2017, respectively, with distinction, focusing on electric mobility and energy flows during his studies. His academic background includes: B.Sc. in Mechanical Engineering, ETH Zürich (2015) M.Sc. in Mechanical Engineering, ETH Zürich (2017) Widmer's research centers on model-based optimization of thermal and energy management systems for electrified public transport vehicles. His work spans electric buses, hydrogen hybrid vehicles, and charging infrastructure optimization. He has made significant contributions to understanding energy-comfort trade-offs in HVAC systems, developing optimization methods for charging strategies, and creating online-capable control algorithms for hydrogen vehicles. His research combines theoretical modeling with practical applications, utilizing dynamic programming, model predictive control, and scenario-based optimization approaches to address real-world transportation challenges. Widmer has received recognition for his academic achievements, including two Outstanding Bachelor Awards and a scholarship from ETH Zürich's Excellence Scholarship and Opportunity Programme. His research has resulted in numerous publications in high-impact journals such as Control Engineering Practice, Energy, and Energies, demonstrating both theoretical rigor and practical relevance to sustainable transportation systems. As part of his research activities, Widmer has contributed to projects including ISOTHERM and Swiss eBus Plus. He was also actively involved with ETH's formula student team AMZ, where student teams develop and compete with self-developed electric race cars, reflecting his hands-on approach to electric mobility research.

Chekredzhi Nikolaمشاهده پروفایل

استاد

• Electric Welding
• Electric Traction
• Electrothermia
• +۳ مورد دیگر

Chekredzhi Nikola is a Full Professor at the Faculty of Electrical Engineering, Ss. Cyril and Methodius University in Skopje. He holds a PhD in Electrical Engineering (1992) and has held academic roles since 1971, including Assistant Professor (1971), Lecturer (1981), Senior Lecturer (1984), and Associate Professor (1992) before becoming Full Professor in 1997. He has led key academic units: Head of the Laboratory for Electrothermia, Electric Welding, and Electric Traffic (1995–2003) Head of Postgraduate Studies in Electrothermia, Electric Welding, and Electric Traffic (since 1997) Head of the Institute for Electrothermia, Electric Welding, and Electric Traffic (since 2003) His research focuses on Electric Traction, Electrothermia, and Advanced Welding Techniques . He has authored textbooks like Electric Welding (1981), Electric Traction (1997), and Electrothermia (2003). His work includes pioneering studies on energy efficiency in rail systems, inductive heating models for welded tubes, and thermal dynamics in solid-phase contacts. His articles address cutting-edge topics like reducing energy costs in electrified rail networks and improving welding processes via numerical analysis and harmonic studies. He remains active in academic leadership and continues to contribute to interdisciplinary research at the intersection of electrical engineering, materials science, and transportation systems.

• Structural Dynamics
• Railway Engineering
• Structural Health Monitoring
• +۷ مورد دیگر

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU's Faculty of Engineering. His research focuses on structural dynamics, railway infrastructure, and timber structures, with emphasis on reliability, safety, and innovative monitoring techniques. Collaborations include KTH Stockholm, University of Porto, and industry partners like Elektromotus and Vilnius-based entities. Research Interests Dynamic behavior of railway catenary systems and bridges Structural health monitoring using advanced sensors and machine learning Timber frame dynamics and connection stiffness modeling Wind-structure interaction in long-span bridges Conceptual form-finding in architectural engineering Recent Research Trends Recent work emphasizes data-driven approaches: Kalman filters for crosswind load estimation, deep learning for structural defect detection, and surrogate models for pantograph-catenary systems. Studies also address long-term monitoring of timber buildings and fatigue reliability of railway bridges under evolving traffic conditions. Education & Teaching Coordinates the Teknostart Master's program in Civil & Environmental Engineering. Teaches advanced courses in structural dynamics, steel structures, and railway catenary systems at NTNU. Active in interdisciplinary education bridging structural engineering and architecture. Research Groups Structural Dynamics Group Conceptual Structural Design Group

Pranjal Nautiyalمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Nanostructured Materials
• Tribology
• +۴ مورد دیگر

Pranjal Nautiyal is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU). He holds affiliations with the College of Engineering, Architecture and Technology (CEAT). His research focuses on advanced manufacturing, nanostructured materials, tribology, and experimental mechanics. Nautiyal earned a Ph.D. in Materials Science and Engineering from Florida International University (2020), followed by a postdoctoral fellowship at the University of Pennsylvania's Department of Mechanical Engineering and Applied Mechanics (2020-2023). Education: Postdoc, Mechanical Engineering and Applied Mechanics, University of Pennsylvania (2020-2023) Ph.D., Materials Science and Engineering, Florida International University (2015-2020) B.Tech., Mechanical Engineering, Indian Institute of Information Technology, Design & Manufacturing (2011-2015) Research Interests: His work spans nanoscale tribology, additive manufacturing, and biomaterials. Key areas include: Tribofilm formation mechanisms in lubricants BNNT-reinforced composites for structural applications Freeze-cast biomaterials for bone regeneration High-precision microfabrication for organ-on-a-chip systems His lab develops novel materials for energy-efficient tribological systems and biomedical implants. Awards & Recognition: Early Career Award (2023) from STLE Senior Member (2023) of the National Academy of Inventors Nanomaterials and Energy Prize (2020) Trailblazers in Engineering Fellow (2022) Grants & Funding: Recipient of a 2024 NSF grant for studying lubrication mechanisms under electric fields in electrified aircraft systems. His work is supported by industry collaborations and federal funding. Professional Activities: Chair of the Nanotribology Technical Committee (STLE) Member of TMS, STLE, and NAI Organizer of symposiums on advanced real-time imaging (TMS Annual Meeting)

Damilola Daramolaمشاهده پروفایل

استادیار

• Electrochemical Engineering
• Resource Recovery
• Wastewater Remediation
• +۳ مورد دیگر

Damilola Daramola is an Assistant Professor at Northeastern University, jointly appointed in the Departments of Chemical Engineering and Chemistry & Chemical Biology within the College of Engineering. His research focuses on Electrochemical Engineering, Resource Recovery (particularly phosphorus and nitrogen), Wastewater Remediation, and Sustainable Materials such as Thermosetting Composites and Polymer Upcycling. He leads the REPRODUCE Laboratory , which aims to reverse human impacts on Earth’s natural cycles via innovative Food-Energy-Water Nexus approaches. Education: BS (2004) and PhD (2011) in Chemical Engineering from Ohio University. Honors include the 2024 Scialog Fellowship for Sustainable Materials and 2023 Ohio University White Research Award. He actively mentors undergraduates through PEAK Experiences Awards and collaborates on projects like electrified nutrient recovery from wastewater and carbon-negative product development. Research projects include electrochemical phosphorus recovery systems, CO2 mineralization using natural brines, and composite materials from coal waste. His work bridges computational modeling (e.g., process simulations) with experimental methods (e.g., rheological analyses of struvite composites). Key awards highlight his contributions to sustainable resource management: Scialog Fellow (2024), Ohio University White Award (2023), ORAU Ralph E. Powe Award (2022). He is affiliated with the Electrochemical Society and American Institute of Chemical Engineers. Lab activities emphasize holistic chemical engineering principles, integrating environmental sustainability with industrial processes. Recent grants support projects like municipal wastewater treatment integration and carbon-negative product development.

• Electrocatalysis
• Decarbonization of Chemical Synthesis
• Renewable Energy
• +۳ مورد دیگر

Karthish Manthiram is a Professor of Chemical Engineering and Chemistry at the California Institute of Technology (Caltech), where he holds the William H. Hurt Scholar title. His research focuses on electrified molecular systems for sustainable chemical synthesis, leveraging renewable energy to decarbonize industrial processes. The Manthiram Lab develops electrocatalytic materials and electrode systems to convert CO₂, nitrogen, and water into valuable chemicals, aiming to create devices powered by solar energy and air/water inputs. **Education**: B.S. in Chemical Engineering from Stanford University (2010), Ph.D. in Chemical Engineering from UC Berkeley (2015), followed by postdoctoral research at Caltech (2015–2016). He was an Assistant Professor at MIT (2017–2021) before joining Caltech as a full Professor in 2021. **Research Interests**: The lab’s work spans two core areas: (1) electrifying heterogeneous catalysis for CO₂/N₂/H₂O conversions and (2) electrifying microbial metabolism to control cellular energy carriers. Key projects include sodium- and lithium-mediated ammonia synthesis, CO₂ electroreduction, and electrochemical modulation of gene expression in living cells. **Awards**: Recipient of the ECS Energy Technology Division Subramaniam Srinivasan Young Investigator Award (2025), recognizing contributions to electrochemical synthesis. **Teaching**: Instructs advanced courses like ChE 103c (Transport Phenomena) at Caltech, emphasizing fluid dynamics and mass transfer principles. **Lab & Team**: The Manthiram Lab operates as “molecular chefs,” using five core ingredients (electricity, CO₂, H₂O, N₂, microbes) to design scalable, sustainable chemical production pathways. Collaborations focus on bridging electrochemistry with biology and material science.

Ahmed Ismailمشاهده پروفایل

مدرس

• Fluid Dynamics
• Multiphase Flows
• Microfluidics
• +۱۲ مورد دیگر

Dr Ahmed Ismail is a Lecturer in Fluid Dynamics at the School of Engineering and Materials Science, Queen Mary University of London (QMUL). He is affiliated with the Centre for Sustainable Engineering and the Centre for Intelligent Transport, where he serves as Research Seminars Coordinator. He holds leadership roles including Chair of the PGT Examination Board and leads a research group focused on microfluidics and electrohydrodynamics. He received his BSc in Mechanical Engineering from the University of Helwan, Cairo (2009), followed by an MSc (2014) and PhD (2016) in Fluid Mechanics from the University of Seville, Spain, under the FPI scholarship. After a postdoctoral year at Seville, he joined QMUL as a PDRA in 2017 and was appointed Academic Fellow and Lecturer in 2019. He is a Fellow of the Higher Education Academy (FHEA). His research centers on multiphase flows at micro-scale , including capillary jets, microdroplets, electrohydrodynamics, and micro-encapsulation . He employs high-speed imaging, dimensionless analysis, scaling laws, and numerical simulations to address industrial challenges in 2D/3D printing, additive manufacturing, and drug delivery . Keywords include Electrospray, Direct Printing, Microfluidics, Drops & Bubbles, and Capillary Jet. His recent publications reveal a strong trend in controlled droplet and jet dynamics , with applications in high-resolution printing, bio-fabrication, and microencapsulation . He develops scaling laws to predict jet breakup and droplet formation, enabling optimization of printing processes. His work bridges experimental observation with theoretical modeling, particularly in electrified jets, cavity collapse, and liquid-liquid electrospraying . Dr Ismail has secured significant research funding, including a KTP project with Innovate UK (£276,771, 2025–2027) and an EPSRC grant (£296,834, 2022–2024) on Electro-Collapse Jetting for next-generation printing technologies. KTP Archipelago 10144476 (Innovate UK, £276,771, 2025–2027) Electro-Collapse Jetting: Towards the Next Generation of Printing Technologies (EPSRC, £296,834, 2022–2024) He advises multiple PhD students working on hydrodynamic printing, droplet disintegration, droplet impact control, and electric propulsion . His lab focuses on translating fundamental fluid dynamics into sustainable engineering solutions, particularly in intelligent transport and digital manufacturing. He teaches EMS503U Applied Fluid Mechanics and mentors students in experimental and theoretical aspects of fluid dynamics.

Sarthak Mehtaمشاهده پروفایل

پژوهشگر

• Membrane Technology
• Chemical Engineering
• Sustainable Technology
• +۴ مورد دیگر

Sarthak Mehta is a Doctoral Candidate at the Membrane Materials and Processes Group within the Department of Chemical Engineering & Chemistry at Eindhoven University of Technology (TU/e). His research focuses on electro-osmotic dewatering processes for sustainable biobased materials, aligning with the NWO-enabled KIC ELECTRIFIED program. Research Interests: Sarthak's work addresses energy-efficient alternatives to conventional dewatering techniques through electro-responsive hydrogels, charged biomass surfaces, and electrohydrodynamic drying. His research aims to optimize parameters like pH, electrical energy consumption, and biomass surface charges for industrial scalability. Publications: His 2024 review article in Langmuir explores membrane separation advancements for biomaterial dewatering, contributing to sustainable processing methodologies. This work intersects with UN Sustainable Development Goals (SDGs) for responsible consumption and industrial sustainability. Academic Background: Sarthak holds a B.Tech in Chemical Engineering from Shiv Nadar University, India, and an MSc in Chemical Engineering from the University of Groningen, Netherlands. Prior to his PhD, he worked as an Associate R&D Engineer at an electrochemical wastewater treatment startup. Labs & Collaborations: His research is conducted within the TU/e's Membrane Materials and Processes (MMP) group, collaborating with industrial partners under the KIC ELECTRIFIED consortium to develop electrically driven dewatering technologies.

Apparao Dekkaمشاهده پروفایل

استادیار

• High-Power Converters
• Medium-Voltage Drives
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Apparao Dekka is an Assistant Professor in the Department of Electrical Engineering at Lakehead University, Canada. He holds a B.Tech. from Jawaharlal Nehru Technological University, an M.Tech. from IIT Bombay, and a Ph.D. from Ryerson University. His research focuses on high-power converters, medium-voltage drives, renewable energy systems, and electrified transportation. He has published over 75 peer-reviewed papers and authored/co-authored a Wiley-IEEE book on Modular Multilevel Converters. Dr. Dekka has held roles as a Research Engineer at Khalifa University (2010–2012), Post-Doctoral Research Fellow at Ryerson University (2017–2019), and Research Associate at McMaster University (2017–2019). His awards include the IEEE Transactions on Power Electronics Outstanding Reviewer Award (2022, 2015), the IET Electric Power Applications Premium Award (2019), and the 2023 Lakehead University Teaching Award. Research Team: Leads projects on converter design, renewable energy integration, and advanced digital control methods. Labs/Teams: Collaborates with labs focused on electric drive applications and power electronics infrastructure. Grants: Secured funding through the Ontario Research Fund - Research Infrastructure Program.

• Acoustic Source Modeling
• Active Noise Control
• Room Acoustics Simulation
• +۳ مورد دیگر

Dr. Yangfan Liu is an Assistant Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. His primary affiliation is with the Department of Mechanical Engineering, where he focuses on acoustics and noise control research. His work integrates computational modeling, signal processing, and experimental validation to address challenges in noise reduction and sound field analysis. Research interests include Acoustic Source Modeling , Active Noise Control , Room Acoustics Simulation , and Human Perception of Noise . He develops advanced algorithms for noise mitigation in mechanical systems, such as compressors and wind turbines, and explores novel materials like piezoelectric composites for acoustic applications. His recent work emphasizes multi-physical modeling of noise generation mechanisms and constraint-based filter design for real-time noise cancellation systems. Collaborations involve CFD-CAA coupling and machine learning for fault diagnosis in electrified powertrains. Key contributions include the Virtual Rotating Array method for source localization and the Computational Statistically Optimized Near-Field Acoustical Holography (C-SONAH) . His research bridges fundamental acoustics theory with industrial applications in automotive, HVAC, and renewable energy sectors. Dr. Liu is based at the Herrick Labs (HLAB 1008) and can be reached via email .

Anna Scaglioneمشاهده پروفایل

استاد

• Statistical Signal Processing
• Smart Grids
• Network Science
• +۱۲ مورد دیگر

Anna Scaglione is a Professor in the Department of Electrical and Computer Engineering at Cornell University's College of Engineering, based at Cornell Tech. She rejoined the faculty in September 2021 after holding professorial positions at Arizona State University, UC Davis, and earlier at Cornell (2001–2008). She earned her M.Sc. in 1995 and Ph.D. in 1999 from Cornell University. Research Interests: Her work centers on statistical signal processing with applications in communication networks, electric power systems, intelligent infrastructure, and network science. Key areas include graph signal processing, federated learning, differential privacy, reinforcement learning for energy systems, and cyber-physical security in smart grids. She integrates machine learning, optimization, and control theory to address challenges in modern power systems and IoT. The 15 most recent publications (2021–2025) reveal a dominant trend in privacy-preserving and AI-driven solutions for power systems. Her research emphasizes federated learning , graph neural networks , differential privacy , and reinforcement learning applied to grid stability, cybersecurity, and distributed energy management. There is a strong focus on graph signal processing for power grid modeling and anomaly detection, as well as synthetic data generation and secure transactive energy platforms . IEEE Fellow (2011) IEEE Signal Processing Transactions Best Paper Award (2000) IEEE Donald G. Fink Prize Paper Award (2013) IEEE Signal Processing Society Young Author Best Paper Award (2013, with Lin Li) IEEE Smart Grid Communications Technical Committee Technical Achievement Award (2020) IEEE SPS Distinguished Lecturer (2019–2020) Dr. Scaglione has advised students including Lin Li, whose work earned a best paper award. She has secured significant research grants related to smart grid security, privacy, and optimization. Her editorial leadership includes Editor-in-Chief of IEEE Signal Processing Letters (2012–2013) and Deputy Editor-in-Chief of IEEE Transactions on Control of Networked Systems . She has served on IEEE technical committees, steering committees, and as General or Technical Chair for major conferences such as SPAWC, SmartGridComm, and GlobalSIP. She leads research in smart grid signal processing , secure distributed energy systems , and privacy-aware machine learning for infrastructure . Her team develops frameworks like Grid-GSP (Graph Signal Processing for power grids), SoDa (synthetic solar data), and CIGAR (cybersecurity via inverter reconfiguration). She is involved in blockchain-based transactive energy platforms and resilient simulation environments for critical infrastructure.

Alexander Wrayمشاهده پروفایل

مدرس

• Fluid Dynamics
• Hydrodynamics
• Low-Order Modelling
• +۱۲ مورد دیگر

Dr. Alexander Wray is a Lecturer in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science. His research focuses on the low-order modeling of multiphysics continuum systems, particularly in hydrodynamics, droplet dynamics, and free-surface flows. He actively leads and collaborates on multiple research projects involving droplet evaporation, thick film instabilities, and electrostatic control of interfacial phenomena. His research interests include: Low-order modeling of thick liquid layers with inertia Dynamics of evaporating droplets (including non-circular and splitting drops) Suppression of the coffee-ring effect using electric fields Electrohydrodynamic instabilities in coating and falling films Asymptotic and analytical methods for fluid flow modeling The recent publications highlight a strong trend in applying high-order asymptotic and reduced-order models to complex interfacial flows, particularly involving droplets and thick films under external fields. His work bridges applied mathematics, fluid mechanics, and industrial applications such as OLED manufacturing. He frequently publishes in high-impact journals like Physical Review E , Journal of Fluid Mechanics , and SIAM Journal on Applied Mathematics . Scientific contributions and recognition: Principal Investigator on multiple funded projects including 'Multidrop Manufacturing Methods' and 'Making droplet analysis real-world ready' Co-investigator on several Doctoral Training Partnerships (Maths DTP) at Strathclyde He supervises a number of PhD students and has mentored several postdoctoral researchers. His work involves close collaboration with leading researchers such as Stephen K. Wilson, D.T. Papageorgiou, and O.K. Matar. He is involved in both theoretical modeling and practical applications, particularly in industrial contexts involving droplet-based manufacturing. His research group focuses on developing predictive, computationally efficient models for complex fluid systems.