جست‌وجوی استاد و پژوهشگر

David Chelidzeمشاهده پروفایل

استاد

• Nonlinear Vibrations
• Structural Health Monitoring
• Dynamical Systems
• +۳ مورد دیگر

Professor David Chelidze is a faculty member in the Mechanical, Industrial and Systems Engineering department at the University of Rhode Island . His research spans nonlinear vibrations, structural health monitoring, and fatigue evolution in engineered systems. He is the director of the Nonlinear Dynamics Laboratory , where he explores topics like modal testing, dynamical systems theory, and damage prognosis. Education: Ph.D., Engineering Science and Mechanics, Pennsylvania State University, 2000 M.S., Mechanical Engineering, Southern Illinois University, 1995 Diploma in Mechanical Engineering, Georgian Technical University, 1992 Research Interests focus on nonlinear dynamics, particularly vibration-based structural health monitoring, smooth mode decomposition for modal analysis, and phase space warping for fatigue damage detection. His work bridges theoretical advancements with practical applications in materials science, offshore engineering, and biomedical diagnostics. Publication Trends emphasize fatigue life estimation under variable loading, nonlinear model reduction techniques, and vortex-induced vibration analysis. Key subfields include 3D printing structural integrity , biomechanical fatigue monitoring , and hydrodynamic stability of flexible cylinders . Scientific Awards: NSF Career Award, 2009 U.S. Patent: General Method for Tracking Hidden Damage in Machinery Components (with Cusumano J, Chatterjee A), 2003 Grants include projects funded by the RI Commerce Corporation (2022) and collaborative efforts with the University of Connecticut/Office of Naval Research (2021). His lab also engages in digital twinning and physics-informed reduced-order modeling . Laboratory : The Nonlinear Dynamics Laboratory at URI develops tools for damage diagnosis in engineered, geophysical, and biological systems. The lab contributes to software like Smooth Mode Decomposition and Geometry-informed Phase Space Warping , with applications in fatigue monitoring and nonlinear system identification.

Manbir Sodhiمشاهده پروفایل

استاد

• Manufacturing Optimization
• Supply Chain Modeling
• Internet of Things (IoT)
• +۷ مورد دیگر

Manbir Sodhi is a Professor in the Department of Mechanical, Industrial & Systems Engineering at the University of Rhode Island. His research focuses on manufacturing optimization, supply chain modeling, IoT applications in production planning, and sustainability assessment of global products. Ph.D., University of Arizona, 1991 M.S., University of Arizona, 1987 B.S., Jadavpur University His research spans operations research, vehicle routing algorithms, and sustainability frameworks, with applications in additive manufacturing, battery supply chains, and autonomous systems. Key trends in his publications include AI-driven optimization, eco-industrial network design, and cyber-physical security. Recent grants include collaborations with the Office of Naval Research on additive manufacturing qualification, UUV swarm analysis, and mixed reality applications in advanced manufacturing. Sodhi holds a patent for laser-based surface smoothing technology (US Patent 8653409, 2014).

Ali Ercetinمشاهده پروفایل

دانشیار

• Powder Metallurgy
• Micro-Machining
• Image Processing
• +۳ مورد دیگر

Ali Ercetin is an Associate Professor at the Maritime Faculty of Bandırma Onyedi Eylül University , affiliated with the Department of Naval Architecture and Marine Engineering. Previously, he worked as a Research Assistant at Bingöl University (2013–2022) and Osmaniye Korkut Ata University (2013). His research focuses on powder metallurgy , magnesium alloys , and micro-machining with an emphasis on image processing for material characterization. His work includes optimizing machining parameters, developing biodegradable composites, and advancing manufacturing techniques for aerospace and biomedical applications. Recent publications highlight trends in automated grain counting , tool wear analysis , and multi-flow egg sorting systems . He serves as an editor for the Journal of Characterization and Turkish Nature and Science Journal , and has led multiple research projects on magnesium alloy characterization and micro-machinability. He teaches courses such as Technical Drawing , Mechanics of Materials , and Machine Elements , and has supervised master’s theses on hydrogen production from seawater using magnesium alloys. His administrative roles include heading the Department of Naval Architecture at Bandırma Onyedi Eylül University.

• Robotics
• Mobile Robotics
• Robot Manipulation
• +۶ مورد دیگر

Jia Zhenzhong is an Assistant Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. His research focuses on robotics, control systems, and intelligent automation with applications spanning medical robotics, mobile robots for extreme environments, and advanced manufacturing. Dr. Jia received his academic training from prestigious institutions: Ph.D. in Naval Architecture and Ocean Engineering (Control Engineering) from University of Michigan (2014) Master's in Applied Mathematics from University of Michigan (2014) Master's in Mechanical Engineering from University of Michigan (2009) Master's in Mechanical and Electronic Engineering from Tsinghua University (2007) Bachelor's in Measurement and Control Technology and Instrumentation with a minor in Computer Science from Tsinghua University (2005) Dr. Jia's research spans three main interconnected domains that reflect his expertise in both theoretical foundations and practical applications of robotics and control systems. His work in robotic manipulation addresses fundamental challenges in dexterous manipulation, assembly tasks, and logistics automation. In mobile robotics , he has made significant contributions to terrain interaction modeling, particularly for extraterrestrial environments like Mars and the Moon, as well as for autonomous vehicles operating under challenging conditions. His research in intelligent control bridges traditional control theory with modern machine learning techniques, with particular focus on model predictive control, reinforcement learning, and their applications in energy systems and autonomous decision-making. His publication record demonstrates a consistent trajectory of impactful research that bridges theoretical innovation with practical engineering applications. The publications show increasing sophistication in modeling techniques, particularly in terrain-vehicle interactions and robotic manipulation. There's a clear evolution from fundamental modeling work to more complex system integration and application-specific implementations. His research consistently addresses real-world challenges in robotics, from medical applications to space exploration and industrial automation. Dr. Jia has received several notable honors throughout his career: 2007 Department Fellowship, Department of Mechanical Engineering, University of Michigan, USA 2005 Outstanding Graduate of Tsinghua University Dr. Jia has led and participated in numerous research projects funded by prestigious organizations including the Beijing Science and Technology Commission, the National Natural Science Foundation of China (NSFC), the 863 Program, the US Army/Navy, the National Science Foundation (NSF), and Foxconn Technology Group. His research portfolio demonstrates strong interdisciplinary connections between robotics, control theory, and practical engineering applications across multiple domains. He has published over 20 academic papers, obtained numerous invention patents, and translated four renowned textbooks, including "Modern Robotics." His laboratory work focuses on developing advanced robotic systems for manipulation and mobility challenges, with particular emphasis on applications requiring high precision in unstructured environments. Current research directions include improving robotic dexterity for assembly tasks, enhancing mobile robot navigation in challenging terrains, and developing more efficient control algorithms that integrate learning with traditional control frameworks.

• Mechanical Engineering
• Thermal Engineering
• Fluid Dynamics
• +۳ مورد دیگر

Angel Manuel Fernandez Vilan is a full-time Lecturer at the University of Vigo, affiliated with the School of Industrial Engineering and the Department of Mechanical Engineering, Thermal and Fluid Machines and Engines. He is associated with the EG6 CIMA research group within the Research Center in Technologies, Energy and Industrial Processes, based on the Vigo campus. His research focuses on mechanical engineering applications, particularly dimensional control systems using laser technology in the naval industry. Key areas of interest include thermal engineering, fluid dynamics, industrial processes, and energy systems. Contact: avilan@uvigo.es

NESLİHAN BOLAT BOZASLANمشاهده پروفایل

دانشیار

• Modern History
• Ottoman Empire History
• Military History
• +۳ مورد دیگر

Neslihan Bolat Bozaslan is an Associate Professor at Gaziantep University, Faculty of Arts and Sciences, Department of Atatürk's Principles and Revolutionary History. She has been actively publishing since 2013, focusing on Ottoman military logistics, wartime disease control, and early Republican political structures. Academic Lineage : Ph.D. in Atatürk's Principles and History of Revolution (2017, Selçuk University) Research Themes : Intersections of military, medical, and political history in late Ottoman and early Republican Turkey Key Contributions : Pioneering studies on Yemen campaigns, 7th Corps operations, and institutional history of Turk Ocakları Her recent works explore Ottoman maritime law, parliamentary leadership under Atatürk, and post-WWI electoral dynamics. With 7 book chapters and 10 refereed articles, she combines archival analysis with multidisciplinary approaches. Scientific Recognition : UASEB Incentive Award (2018) Editorial roles in international history journals (2023-2024) Prof. Bolat Bozaslan's teaching spans from the Tanzimat reforms to contemporary historical methodologies, and she has served as a thesis advisor for advanced historical research projects.

Kuang-Ting Hsiaoمشاهده پروفایل

استاد

• Carbon Fiber Reinforced Polymer (CFRP) Composites
• 3D Printing and Additive Manufacturing
• Nanofiber Z-Threaded Composites
• +۷ مورد دیگر

Dr. Kuang-Ting Hsiao is a Full Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of South Alabama's College of Engineering. His research focuses on advanced composite materials manufacturing, particularly carbon fiber reinforced polymer (CFRP) composites with innovative Z-threading techniques using carbon nanofibers. Dr. Hsiao received his Ph.D. in Mechanical Engineering from the University of Delaware and his B.S. in Naval Architecture Engineering from National Taiwan University. His academic journey includes positions as Assistant Professor (2003-2009) and Tenured Associate Professor (2009-2013) at the University of South Alabama, following his time as a Research Associate at the University of Delaware's Center for Composite Materials (1999-2003). Dr. Hsiao's research spans multiple cutting-edge areas in composite materials science and manufacturing. His primary focus is on developing novel 3D printing techniques for Carbon Fiber Reinforced Polymer (CFRP) composites, particularly through his pioneering work on Nanofibers Z-Threaded CFRP Composites (ZT-CFRP). He has made significant contributions to real-time cure monitoring and control systems, artificial intelligence-enabled composite material manufacturing integration, and liquid composite molding processes. His work addresses critical challenges in composite manufacturing including void and defect characterization, residual stress management, and dimensional stability. Dr. Hsiao has also developed innovative approaches for enhancing thermal and electrical conductivity in composite materials through strategic nanofiber alignment. Dr. Hsiao has received numerous prestigious awards recognizing his contributions to the field, including being elected as a Fellow of the International Association of Advanced Materials (2024) and a Senior Member of the National Academy of Inventors (2024). He was awarded the Scientist Medal by the International Association of Advanced Materials in 2023, and has previously received the Russell and Robin Lea National Alumni Excellence in Faculty Innovation Award from the University of South Alabama (2015), the Olivia Rambo McGlothren National Alumni Outstanding Scholar Award (2010), and the Excellence in Research Award from the University of South Alabama College of Engineering (2009). Dr. Hsiao leads the Hsiao Group - Composite Materials Lab & Robotic Additive Manufacturing Lab at the University of South Alabama, where he mentors students and collaborates with industry partners on advancing composite materials technology. His teaching portfolio includes advanced courses in mechanical engineering analysis, fluid mechanics, heat transfer, and specialized topics in liquid composite molding.

Necati Ertekinمشاهده پروفایل

دانشیار

• Retail Operations
• Consumer Returns
• Operations/Marketing Interface
• +۵ مورد دیگر

Necati Ertekin serves as an Associate Professor in the Supply Chain and Operations Department at the Carlson School of Management, University of Minnesota. He teaches PhD, MS in Supply Chain Management, MBA, and undergraduate courses including Retail Operations, Sales Inventory and Operations Planning, and Supply Chain Planning and Control. His educational background includes: PhD in Operations & Supply Chain Management, Texas A&M University (2016) MBA, Naval Postgraduate School (2008) MS in Systems Engineering, Naval Postgraduate School (2008) BS in Industrial Engineering, Turkish Naval Academy (2003) Dr. Ertekin's research centers on retail operations with emphasis on consumer returns, omnichannel retailing, and operations/marketing interface. His empirical work examines store labor dynamics, discount framing strategies, and zero-waste initiatives, consistently bridging academic rigor with practical retail applications through industry partnerships. His publication trajectory reveals deep specialization in retail operations management, with recent work analyzing mobile health applications' operational potential and visual merchandising of open-box products. Articles consistently appear in premier journals like Management Science and Marketing Science, demonstrating methodological diversity spanning field experiments, retail data analytics, and behavioral modeling. As an active COER (Consortium for Operational Excellence in Retailing) member since 2016, he maintains strong industry ties through consulting engagements with national retailers and presentations at practitioner conferences. His research has generated significant media coverage including Harvard Business Review, Forbes, and Reverse Logistics Magazine.

• Operations Management
• Supply Chain Management
• Production Systems
• +۳ مورد دیگر

Professor Sunantha Teyarachakul serves as a faculty member in the Department of Information Systems and Decision Sciences at the Craig School of Business, California State University, Fresno. Her academic credentials include: Ph.D. from Krannert School of Management, Purdue University M.B.A. from Kenan-Flagler Business School, University of North Carolina at Chapel Hill B.B.A. from Faculty of Commerce and Accountancy, Thammasat University, Bangkok, Thailand Her research specializes in operations management, with emphasis on inventory modeling in supply chains using operations research tools. Key areas include dynamic lot sizing, learning and forgetting effects in production environments, maintenance scheduling, and quality control. She has published in premier journals such as Production and Operations Management (Business Week 20 Premier Journal), European Journal of Operational Research (A*), IIE Transactions (A), Operations Research Letters (A), and Naval Research Logistics , reflecting rigorous theoretical contributions to the field. Professor Teyarachakul teaches undergraduate courses DS 73 (Statistical Analysis I) and DS 123 (Statistical Analysis II), integrating quantitative methods into business decision-making frameworks.

Noah Van Damمشاهده پروفایل

دانشیار

• Multi-phase flows
• Reacting flows
• Combustion
• +۶ مورد دیگر

Noah Van Dam is an Associate Professor in the Mechanical and Industrial Engineering Department at the Francis College of Engineering, University of Massachusetts Lowell. He joined UMass Lowell in Fall 2018 after completing his Ph.D. at the University of Wisconsin-Madison in 2015 and working as a postdoc at Argonne National Laboratory. His educational background includes: Ph.D. in Mechanical Engineering from University of Wisconsin-Madison (2015) B.S. in Mechanical Engineering from Iowa State University of Science and Technology Professor Van Dam's research focuses on high-fidelity modeling of multiphase and reacting flows, with particular emphasis on verification, validation and uncertainty quantification techniques for computational fluid dynamics models. His work spans multiple applications including internal combustion engines, gas turbines, aerospace propulsion systems, and energy generation processes. Key research areas include: Multi-phase/reacting flows Combustion modeling Computational Fluid Dynamics (CFD) Lagrangian-Eulerian methods Verification, validation, uncertainty quantification (VVUQ) Machine learning applications in combustion His recent publications demonstrate a strong focus on alternative fuels, particularly ammonia-hydrogen blends, and their application in internal combustion engines. His work also addresses critical challenges in marine propulsion systems, thermal energy storage, and advanced numerical methods for multiphase flows. Professor Van Dam's research has significant implications for developing cleaner, more efficient energy conversion technologies. Among his notable achievements are: Outstanding Teaching Assistant Award (2015) Robert G. Sachs Award for Outstanding Poster Presentation (Third Place) (2015) DAAD RISE Professional Scholarship (2010) University Fellowship & Vilas Welcome Award (2010) Professor Van Dam has advised numerous graduate and undergraduate students on research projects related to computational fluid dynamics, combustion, and alternative fuels. His students have gone on to positions at national laboratories, research institutions, and industry. He has also secured funding from organizations including the Office of Naval Research for his work on marine burners and ammonia combustion. His research group, the Multi-phase and Reacting Flows group, actively investigates high-fidelity computational fluid dynamics modeling of complex flows with applications to energy systems. Current research directions include ammonia-hydrogen combustion, low-pressure marine burners, advanced fuel spray modeling, machine learning applications in chemical kinetics, and thermal energy storage using CO2 clathrate hydrates.

Francesco Lecceseمشاهده پروفایل

دانشیار

• Environmental Technical Physics
• Building Physics
• Energy-efficient Buildings
• +۵ مورد دیگر

Francesco Leccese is Associate Professor of Environmental Technical Physics at the University of Pisa’s Department of Energy, Systems, Land and Building Engineering and serves as Vice-Rector (Pro-Rettore) for Construction and Real Estate since 2022. He has been a full-time faculty member since 2006 and leads the Lighting and Acoustics Laboratory. Education PhD in Energetics, University of Pisa, 2002 Laurea (MSc) in Civil Engineering (Buildings), University of Pisa, 1997 Research Interests Professor Leccese’s research spans the entire spectrum of Environmental Technical Physics . His core themes include: Physical-technical performance of opaque and glazed building-envelope components Thermal, visual and acoustic comfort in indoor environments Energy performance of buildings and HVAC systems Human exposure to physical agents at workplaces Environmental pollution from anthropogenic and natural sources Smart monitoring, IoT and data-driven control for energy savings He combines advanced experimental measurement campaigns with modelling and simulation, leading to over 200 scientific publications and a co-owned national patent for an innovative illuminating device for radiodiagnostic stations. Recent Publication Trends Between 2023 and 2025 his work has concentrated on urban overheating mitigation , textile-based solar shading , thermal resilience of building envelopes , and integrated indoor-environmental-quality (IEQ) assessment . These studies often merge on-site infrared thermography, sensor networks and occupant-centred data analysis to optimise both energy demand and human comfort. Scientific Awards & Patents Co-owner, National patent for an illuminating device for radiodiagnostic reporting stations Institutional Service & Grants President, Joint Council of the Master’s programmes in Structural & Building Engineering and Civil Infrastructure & Environmental Engineering (since 2021) Member, Doctoral School of Energy, Systems, Land and Construction Engineering (since 2015) Member, School of Engineering Council (since 2022) Head, Lighting and Acoustics Laboratory, School of Engineering (since 2006) Laboratory & Teams Professor Leccese directs the Lighting and Acoustics Laboratory at the School of Engineering, where interdisciplinary teams of researchers and graduate students conduct experimental and simulation studies on lighting, acoustics and environmental physics.

• Naval Architecture
• Ship Hydrodynamics
• Marine Engineering
• +۳ مورد دیگر

Mikloš Lakatoš is a naval architect and hydrodynamic researcher affiliated with Tallinn University of Technology's School of Engineering and Kuressaare College. His career spans roles as an Engineer (2022–2024), Junior Research Fellow (2021–2021), and Early Stage Researcher (2017–2021) at the Estonian Maritime Academy. Previously, he worked in R&D at Deltamarin Ltd (2013–2017) and gained practical experience through internships at Aalto University's Ship Laboratory (2010). Education: MSc in Mechanical Engineering, Aalto University (2009–2013) MSc in Mechanical Engineering, Tallinn University of Technology (2006–2009) Lakatoš specializes in high-speed marine vehicle hydrodynamics, focusing on computational modeling (e.g., RANS simulations), experimental validation, and design optimization using actuator disk models, spray rails, and chine interceptors. His work bridges numerical methods with physical testing for resistance reduction and performance enhancement. Recent publications analyze hydrodynamic performance across calm water conditions, off-design scenarios, and full-scale simulations. Key projects include: Small Craft Competence Centre (2020–2023, €860,000 funding) Marine Engineering Course Harmonization (2020–2023, €43,755 funding) FSI Modeling for Ship Dynamic Loads (2018–2022, €834,750 funding) His 7 publications (2018–2025) demonstrate expertise in fluid-structure interaction, hull configuration effects, and propulsion modeling. Current research likely focuses on practical applications of hydrodynamic optimization in naval architecture.

Bradley Nelsonمشاهده پروفایل

استاد

• Microrobotics
• Nanorobotics
• Biomedical Robotics
• +۵ مورد دیگر

Bradley Nelson is Professor of Robotics and Intelligent Systems at ETH Zurich, serving as Full Professor since 2002 after prior appointments as Assistant Professor at the University of Illinois at Chicago (1995-1998) and Associate Professor at the University of Minnesota (1998-2002). He chaired the Department of Mechanical and Process Engineering from 2005-2007 and currently leads the ETH Electron Microscopy Center (EMEZ). His academic credentials include: B.S.M.E. from the University of Illinois at Urbana-Champaign M.S.M.E. from the University of Minnesota Ph.D. in Robotics from Carnegie Mellon University (1995) Nelson's research pioneers microrobotics and nanorobotics for biological and medical applications, integrating automation, computer vision, and control systems to develop microscale surgical tools and targeted drug delivery systems. His work bridges engineering precision with healthcare innovation, focusing on minimally invasive medical interventions through nanoscale robotic systems. His exceptional contributions are recognized by: McKnight Land-Grant Professorship and Presidential Fellows Award Office of Naval Research Young Investigator and NSF CAREER Awards Robotics and Automation Society Distinguished Lecturer designation Scientific American 50 recognition (2005) for nanotube manufacturing Consecutive Best Paper Awards and RoboCup Nanogram Competition victories (2007, 2009) Through editorial board service and laboratory leadership, Nelson drives advancements in medical robotics while directing the ETH Electron Microscopy Center to enable cutting-edge nanoscale research across disciplines.

• Management Accounting
• Activity-Based Costing
• Time-Driven ABC
• +۳ مورد دیگر

Ana Conceição is an Assistant Professor at the Accounting Department of ISCTE Business School, ISCTE - University Institute of Lisbon. Her work bridges Management Accounting with institutional theory and social sciences, focusing on public sector and healthcare contexts. PhD in Accounting (ISCTE, 2019) Master's in Accounting (ISCTE, 2010) Bachelor's in Business Management (Autonomous University of Lisbon, 2003) Bachelor's in Naval Military Sciences (Naval School, 1999) Her research explores hybridization in healthcare institutions, Activity-Based Costing, and institutional conflicts. She contributes to studies on accountability mechanisms, management accounting systems, and performance metrics like the Balanced Scorecard. Recent articles emphasize tensions between care and business logics in NHS hospitals, hybrid management systems in public administration, and practical applications of costing methodologies in energy and wine industries. She also examines emotional identity and paradox theory in healthcare reforms.

Richard Bucknallمشاهده پروفایل

استاد

• Marine Systems
• Low Carbon Technologies
• Electrical Propulsion
• +۵ مورد دیگر

Professor Richard Bucknall is the Head of the Department of Mechanical Engineering at University College London (UCL), holding the Kennedy Chair of Mechanical Engineering. His career spans academic and industry roles in marine systems, electrical propulsion, and sustainable technologies. PhD in Marine Electrical Engineering (Royal Naval Engineering College, 1995) BEng (University of Plymouth, 1988) HNC (City of London Polytechnic, 1980) His research focuses on applied marine engineering , low-carbon ship propulsion , autonomous maritime systems , and hydrogen/fuel cell technologies . Recent work includes energy management frameworks for hybrid ships, path planning algorithms for USVs, and thermal design of superconducting marine systems. Key trends in his publications involve AI-driven control systems , hybrid propulsion optimization , and ocean current-adaptive robotics , reflecting interdisciplinary approaches to maritime sustainability. Co-Editor for IMarEST (2010-present) BSI Office Holder (2010) Member of IEEE and IET He led the MSc Marine Engineering program (1995-2023) and served as Vice Dean for Research at UCL Engineering Faculty (2020-23). His work bridges academia and industry through consultancy and collaborative projects.