جستجوی استاد راهنمای دانشگاهی

• Operations Research
• Healthcare Optimization
• Predictive Maintenance
• +۴ مورد دیگر

Rosita Guido is an Associate Professor in the Department of Mechanical, Energy and Management Engineering at Università della Calabria, specializing in Operations Research (MATH-06/A). Her academic role focuses on mathematical optimization and artificial intelligence applications across healthcare, manufacturing, and sustainable systems. She teaches graduate courses including Tools and Methods for Innovation in Healthcare and Business Intelligence within the Management Engineering program. Her research interests span healthcare optimization, predictive maintenance, machine learning applications, and sustainable supply chain management. Guido develops advanced mathematical models and algorithms for complex decision problems under uncertainty, with particular emphasis on healthcare systems optimization, tool condition monitoring, and resource allocation. Her methodological expertise includes mathematical programming, combinatorial optimization, stochastic programming, and hybrid AI techniques. Analysis of her recent publications reveals a strong interdisciplinary focus bridging engineering and healthcare. Key trends include the application of machine learning (particularly SVMs and CNNs) to medical diagnostics, optimization of healthcare operations (patient admission scheduling, bed management), and integration of AI with IoT for industrial applications. Her work demonstrates consistent innovation in solving real-world problems through mathematical modeling and algorithm development. As an active member of the Operations Research (Ricerca Operativa) research group at DIMEG, she contributes to projects addressing logistics optimization, green transportation systems, energy infrastructure management, and clinical process optimization. The group maintains international collaborations with prestigious research centers and companies including Amazon. Guido's teaching portfolio includes graduate-level courses in Management Engineering, where she integrates her research expertise into curriculum development. Her academic service includes participation in departmental governance and research initiatives within the Department of Mechanical, Energy and Management Engineering.

Shannon Robertsمشاهده پروفایل

دانشیار

• Human Factors in Transportation Safety
• Driver-Vehicle Interaction
• Automated Vehicles
• +۵ مورد دیگر

Shannon Roberts is an Associate Professor in the Mechanical and Industrial Engineering Department at the University of Massachusetts Amherst, leading research in Human Factors and Transportation Safety. Her work spans driver-vehicle interaction, automated systems, and equity-focused transportation design, with notable grants from NSF, Sloan Foundation, and UMass ADVANCE. Education: PhD and MS in Industrial Engineering (University of Wisconsin-Madison), BS in Mechanical Engineering (MIT) Research focuses on: Teen Driver Safety and Training Effectiveness Human Factors in Automated Vehicles Cybersecurity Response in Transportation Feedback Systems for Driver Performance Community-Centered Traffic Mitigation Recent publications analyze distraction patterns, automation impacts, and VR-based driver assessment. Her team has received multiple awards including the Bentzi Karsh Early Career Service Award and Stephanie Binder Young Professional Award . Students: Mentored 15+ undergraduate and graduate researchers including Meng Wang (PhD candidate), Jaji Pamarthi (PhD student), and alumni like Yalda Ebadi (New Relic) and Fangda Zhang (Ohio State University) Contact: scroberts@umass.edu | LinkedIn | Google Scholar

• Dependability
• Stochastic Modeling
• Cloud Computing
• +۶ مورد دیگر

Paulo Romero Martins Maciel is a full professor at the Center for Informatics, Federal University of Pernambuco (UFPE), Brazil, where he has been a member since 2001. He previously served as a professor in the Department of Electrical Engineering at the University of Pernambuco from 1989 to 2003. He completed his graduate degree in electronic engineering from the University of Pernambuco in 1987, followed by master's and doctorate degrees in electronic engineering and computer science from UFPE. During his doctoral studies, he conducted a "sandwich internship" at Eberhard-Karls-Universität Tübingen, Germany (1996-1997), and later spent a sabbatical year at Duke University's Edmund T. Pratt School of Engineering. Graduate Degree: Electronic Engineering, University of Pernambuco (1987) Master's Degree: Electronic Engineering and Computer Science, Federal University of Pernambuco Doctorate: Electronic Engineering and Computer Science, Federal University of Pernambuco Professor Maciel leads the MoDCS Research Group and has established himself as a leading expert in dependability engineering, stochastic modeling, and performance evaluation of computing systems. His research spans cloud computing, edge computing, software aging and rejuvenation, and reliability analysis of complex systems. His work demonstrates a consistent focus on developing mathematical models (particularly Markov chains and Petri nets) to evaluate system behavior under various conditions. Recent research extends into emerging areas including Metaverse infrastructure, drone surveillance systems, satellite communications, and smart agriculture applications. His publication record is impressive with 191 publications and 1,298 citations, showing remarkable productivity and impact across nearly three decades. His most recent work (2024-2025) continues to push boundaries in aging dependability of cloud-edge systems for digital twins, high availability quantification in Metaverse storage, and stochastic modeling of satellite systems. His research methodology consistently applies hierarchical modeling approaches to address complex system interdependencies. Professor Maciel has mentored numerous researchers who have become active contributors in the field, including doctoral students Paulo Pereira and several co-authors who appear in his recent publications. His collaborative network extends across Brazil and internationally, reflecting the global recognition of his expertise.

Sheldon Greenمشاهده پروفایل

استاد

• Fluid Mechanics
• Industrial Fluid Mechanics
• Paper Engineering
• +۵ مورد دیگر

Sheldon Green is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. A licensed Professional Engineer (P.Eng.) and Fellow of both the American Society of Mechanical Engineers (FASME) and Canadian Academy of Engineering (FCAE), he maintains an active research program focused on industrial fluid mechanics applications. His work bridges academic rigor with real-world industrial challenges through extensive collaborations with major companies. Education: Bachelor of Applied Science (University of Toronto) Master of Applied Science (California Institute of Technology) Doctor of Philosophy (California Institute of Technology) Professor Green's research centers on fluid-structure interactions in industrial processes, with particular emphasis on railroad friction control systems, paper manufacturing mechanics, and energy recovery technologies. His laboratory develops experimental and analytical solutions for liquid friction modifier application on railroads, electrospraying techniques for moving surfaces, paper creping and pressing optimization, and advanced energy recovery ventilators. These investigations address critical industry challenges in fuel efficiency, product quality, and energy conservation through precise fluid mechanics understanding. Analysis of his recent publications reveals consistent focus on multiphase flows, fiber network mechanics, and heat/mass transfer phenomena. Key themes include cellulose fiber network modeling for tissue paper, moisture measurement in paper pressing, membrane behavior in energy exchangers, and liquid-solid interactions in railroad systems. His work demonstrates strong industry-academic synergy with nearly all studies involving partnerships with major industrial players. Accolades include: Dean’s Excellence in Service Award (UBC, 2017) Fellow of the American Society of Mechanical Engineers Fellow of the Canadian Academy of Engineering Member of The Technical Association of the Pulp and Paper Industry Professor Green secures substantial research funding through industry partnerships with LB Foster (rail friction systems), FP Innovations/Kruger Products/Solenis/Albany (paper creping), AstenJohnson (paper pressing), and Core Energy Recovery Solutions (ventilators). His academic collaborations span Professors Boris Stoeber, Neil Balmforth, Srikantha Phani, and Steven Rogak across mechanical engineering subdisciplines. While student names aren't published, his prolific output indicates active mentorship of graduate researchers. He directs the Applied Fluid Mechanics Laboratory (CEME 2058) where experimental facilities enable high-precision studies of industrial fluid phenomena, particularly in railroad and paper manufacturing contexts where fluid mechanics directly impacts operational efficiency and product quality.

Sale Lilly IVمشاهده پروفایل

استاد

• China's Economic Development
• Chinese Soft Power
• Crisis Wargaming
• +۷ مورد دیگر

Sale Lilly IV is a Senior Policy Analyst and Professor at the RAND School of Public Policy. His research focuses on China's economic development, soft power, crisis wargaming, and military systems optimization. He holds an M.A. in Economic and Social History and Modern Chinese Studies from Oxford University, and a B.S. in Economics from the U.S. Naval Academy. His career includes eight years as a U.S. Navy officer and prior work in management consulting designing crisis simulations for Fortune 500 firms. Research interests span geopolitical competition, military strategy, and defense industrial analysis. Recent work addresses Sino-Russian military cooperation, Taiwan defense strategies, and the role of digital currencies in U.S.-China competition. His articles often combine historical patterns with forward-looking scenarios, particularly analyzing PLA vulnerabilities and U.S. strategic responses. Notable contributions include frameworks for assessing defense industrial bases and evaluating military training efficacy in great-power conflicts. Though no formal awards are listed, his work frequently appears in high-impact RAND publications and informs policy discussions on Indo-Pacific security, cyber resilience, and innovation trends.

Hasan Seyyedhasaniمشاهده پروفایل

استادیار

• Precision Agriculture
• Smart Farming
• Agricultural Robotics
• +۹ مورد دیگر

Hasan Seyyedhasani is an Assistant Professor at the School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University (Virginia Tech), where he holds a 60% research and 40% teaching appointment. His work bridges engineering and agriculture, focusing on smart farm ecosystems using robotics, automation, and data-driven technologies. Education: Ph.D. in Biosystems and Agricultural Engineering, University of Kentucky, 2017 M.S. in Electrical and Computer Engineering, University of Kentucky, 2017 M.S. in Mechanics of Agricultural Machinery, University of Tehran, 2010 B.S. in Mechanics of Agricultural Machinery, University of Tehran, 2006 His research interests center on precision agriculture , agricultural robotics , sensing systems , and AI-assisted smart farming . He develops engineering solutions to improve efficiency in both specialty and row crop production, with a focus on human-robot collaboration, input optimization, and sustainable productivity. His work integrates IoT, UAVs, and machine systems management. The analysis of his recent publications reveals a strong trend in field robotics , route optimization , and UAV-based monitoring . His research consistently applies computational models and real-world validation to solve practical agricultural challenges, particularly in harvesting, spraying, and fleet logistics. Key subfields include dynamic rerouting, human-robot interaction, and biomass localization using drones. Scientific Awards: No awards listed in the provided text. Advising and Grants: No formal advisees or students are listed. No grants or funding sources are mentioned. He has collaborated with faculty at the Center for Advanced Innovations in Agriculture and previously held research positions at UC Davis, University of Wisconsin-Madison, and Southern Illinois University. Labs and Teams: While no specific lab name is provided, his work is associated with smart farm and precision agriculture initiatives at Virginia Tech, likely involving interdisciplinary teams in agricultural engineering and data analytics.

• Systems Engineering
• Systems Science
• Operations Research
• +۷ مورد دیگر

Bryan Watson is an Assistant Professor of Systems Engineering in the College of Engineering at Embry-Riddle Aeronautical University, affiliated with the Department of Electrical Engineering and Computer Science. His work bridges systems engineering, resilience, and sustainable design, with applications in manufacturing, energy, and infrastructure systems. B.S. in Systems Engineering, United States Naval Academy (2009) M.S. in Mechanical Engineering Ph.D. in Mechanical Engineering, Georgia Institute of Technology His research focuses on enhancing the resilience of Systems of Systems through biologically inspired design, sustainable development, and distributed demand estimation. He integrates principles from nature to improve reliability, safety, and sustainability in interconnected systems. His interdisciplinary work spans mechanical, electrical, and industrial engineering domains. The recent publications highlight a strong trend in resilience engineering, sustainable systems design, and biologically inspired solutions. Key domains include smart grids, manufacturing networks, aerospace systems, and cyber-physical infrastructures. The research emphasizes modeling, optimization, fault tolerance, and human-centered design, often leveraging systems thinking and model-based approaches. Nuclear Professional Engineer Certification Master Training Specialist Certification (military’s highest instructor accreditation) Naval Achievement Medal (x2) Military Outstanding Volunteer Service Medal Naval Commendation Medal 2024 ERAU College of Engineering Teacher of the Year 2024 ERAU Research Mentor of the Year 2022-2023 ERAU Outstanding Small Teaching Practice Award Bryan Watson is an active mentor and educator, recognized for excellence in teaching and research guidance. He leads student projects in systems engineering and resilience, and his grants support innovation in sustainable and adaptive systems. Though specific grant titles are not listed, his recognition as Research Mentor of the Year underscores his leadership in student development and sponsored research. His work is associated with the Computation and Advancement of Sustainable Systems Lab and the Sustainable Design and Manufacturing Lab during his doctoral studies. At Embry-Riddle, he continues to develop frameworks for resilient, user-safe, and sustainable systems, likely leading a research group focused on systems-of-systems engineering and bio-inspired design.

• Electrical Engineering
• Energy Efficiency
• Motor Design
• +۴ مورد دیگر

Fernando J. T. E. Ferreira is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Coimbra since 2014. He has been a researcher at the Institute of Systems and Robotics since 1998 and previously served as Professor and Head of Department at the Engineering Institute of Coimbra (2001-2014). His career focuses on electrical engineering, energy efficiency, and motor design. University: University of Coimbra Department: Electrical and Computer Engineering Institution: Institute of Systems and Robotics Research Interests: Fernando's work centers on improving electric motor efficiency through winding configurations, fault diagnosis, and energy regeneration systems. He has explored voltage unbalance tolerance, motor reliability, and thermal management solutions for industrial applications. Article Trends: His recent publications (2016-2020) analyze motor efficiency optimization via winding redesign, fault detection algorithms, and energy recovery systems. Key themes include IEC standards compliance, thermal management, and predictive maintenance techniques. Contributions: With over 150 publications and 3000+ citations, Ferreira has contributed to IEEE journals and conferences on topics ranging from switched reluctance motors to photovoltaic power systems. He collaborates with Aníbal T. de Almeida and other engineers on industrial efficiency projects.

Hironori Washizakiمشاهده پروفایل

استاد

• Systems Engineering
• Software Engineering
• Machine Learning
• +۳ مورد دیگر

Hironori Washizaki is a Professor at Waseda University 's School of Fundamental Science and Engineering and a Visiting Professor at the National Institute of Informatics. He serves as IEEE Computer Society 2025 President and has led initiatives in software engineering, ML design patterns, and IoT systems. His work bridges academia and industry through roles at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., LTD. Research Interests: His work spans software engineering, quality assurance, ML/IoT design patterns, and education innovation. He leads the SmartSE professional education program and standardizes software engineering bodies of knowledge through ISO/IEC/JTC1/SC7/WG20 . Scientific Awards: Golden Core Member (IEEE CS) Spirit of Computer Society Award KDDI Foundation Award Science and Technology Award, MEXT Best Paper Awards at ICSE, CSEE&T, and IWESEP Leadership & Grants: He has secured major grants (JSPS, MEXT) and held editorial roles at IEEE Transactions on Emerging Topics in Computing, IJSEKE, and IEICE journals. As IEEE CS Japan Chapter Chair and SEMAT Japan Chapter Chair , he fosters international collaborations. Labs & Teams: He leads the Global Software Engineering Laboratory at Waseda, focusing on traceability, reuse, and quality. This lab drives projects like ProMeTA (program metamodel taxonomy) and Trace ANY (software maintenance metrics).

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

• Construction Safety
• Risk Management
• Civil Engineering
• +۳ مورد دیگر

Alberto Lauria is a Lecturer at Politecnico di Torino, affiliated with the College of Civil and Building Engineering. He holds positions in two departments: Environmental, Land and Infrastructure Engineering (DIATI) and Structural, Building and Geotechnical Engineering (DISEG). His teaching focuses on safety and risk management in construction and industrial contexts. Department of Environmental, Land and Infrastructure Engineering (DIATI) Department of Structural, Building and Geotechnical Engineering (DISEG) Lauria's research interests revolve around Construction Safety , Risk Management , and the application of Building Information Modeling (BIM) in facility operations. He has taught courses such as Construction Site Safety and Risk Assessment and Management in Industry and Construction Sites since 2019/2020, covering both workplace risk assessment and civil works construction site modules. His scholarly work includes a 2018 article on BIM-based health and safety management for logistics plants. This work aligns with keywords like Construction Management and Facility Operations , with subfields such as Risk Assessment , Logistics , and Operations & Maintenance . Alberto Lauria's contact details include the email alberto.lauria@polito.it .

• Mechanical Engineering
• Manufacturing Engineering
• Finite Element Analysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Associate Professor at Swinburne University of Technology's School of Engineering, specializing in mechanical design, virtual/augmented reality (VR/AR), and electric vehicle (EV) technologies. His research focuses on product design, EV drivetrains, battery packaging, medical devices, and bushfire shelter design. He holds a PhD from Swinburne, a Master's from Queensland University of Technology, and a Bachelor's from the Indian Institute of Industrial Engineering. Research interests span finite element analysis, bio-mechanical modeling, and Industry 4.0 applications. Notable projects include Bombardier Tram development, therapeutic sleep systems, and smart manufacturing frameworks. He has supervised over 20 HDR students on topics ranging from predictive maintenance to extended reality in education. Awards include the Teaching Excellence Award (2016) and Premier's Design Awards for medical and safety innovations. He is a Fellow of the Institution of Engineers (Australia) and actively involved in professional bodies like SAE International. Grants funded projects on hydrogen generators, smart manufacturing systems, and graphene supercapacitors. His work bridges academia and industry through collaborations with firms like Bambach Wires and iMOVE Australia.

Jürgen Bechtloffمشاهده پروفایل

استاد

• Mechatronics
• Automation Technology
• Digital Production
• +۳ مورد دیگر

Prof. Dr.-Ing. Jürgen Bechtloff serves as Professor of Measurement, Control and Regulation Technology at the South Westphalia University of Applied Sciences since 1998. He has held significant administrative roles including Founding Dean of Mechanical and Industrial Economics (2002-2004), Dean of Engineering and Economics (2004-2012), and Head of Scientific Center for Dual Studies and Continuing Education (2012-2019). His academic career spans industrial experience at Klöckner-Moeller GmbH (1992-1998) and academic research at TU Braunschweig (1987-1992). Education: Diplom from TU Braunschweig (1987), Dr.-Ing. from TU Braunschweig (1992) Laboratory: Operates the TransferFactory Industry 4.0 demonstrator since 2013 Research Focus: Industrial automation systems, particularly in Industry 4.0 implementation, Digital Production methodologies, and Mechatronic Systems simulation. His work emphasizes practical solutions for real-world challenges in: IoT gateway and platform integration Feasibility studies and implementation support Control engineering and measurement technology Electronics cam systems for motion control Robotic programming and interpolation methods Publication Trends: 15 most recent publications (2000-2020) demonstrate consistent focus on Industry 4.0 implementation, Mechatronics , and Digital Production technologies. His work bridges theoretical concepts with practical applications through case studies and demonstrator projects like the TransferFactory system. Teaching Contributions: Coordinates courses in Mechatronic Systems and Simulation and Digital Production for both bachelor and master programs, with emphasis on project-oriented learning and practical implementation of automation concepts using modern tools like MATLAB/Simulink. Technology Transfer: Provides services in measurement technology (data processing/visualization), control engineering (simulation and implementation), and mechatronics (3D motion design, kinematic analysis). Operates with state-of-the-art equipment including Beckhoff TwinCAT, Siemens S7/TIA systems, ABB/Kuka robots, and MES platforms.

Inmaculada Torres Castroمشاهده پروفایل

دانشیار

• Stochastic Modeling
• Reliability Engineering
• Operations Research
• +۳ مورد دیگر

Inmaculada Torres Castro is an Associate Professor in the Department of Mathematics at the University of Extremadura, Spain. She earned her Ph.D. in Mathematics from the University of Granada (2000) under R. Pérez-Ocón. Her research focuses on stochastic modeling in reliability, particularly for systems with competing failure modes, delayed repairs, and degradation processes. Current affiliation: University of Extremadura Previous research stays: University of Vigo, Stavanger, Troyes, Brussels, Pau, Ewha Womans University Her work spans reliability engineering, operations research, and signal processing, with applications in condition-based maintenance and safety-constrained systems. She has collaborated with international institutions and contributed to book chapters on maintenance modeling. Her 15 most recent publications analyze: Competing failure modes in repairable systems Age-based and condition-based maintenance strategies Imperfect/delayed repair modeling Stochastic optimization under safety constraints Antenna array signal processing reliability Scientific awards: h-index: 8 She has served on editorial boards for The Scientific World Journal and the Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability . Her research projects include coordination of multi-institutional efforts on competing failure models and collaboration with companies like Abengoa and Eptisa.

Kurt Schmollerمشاهده پروفایل

پژوهشگر

• Cell Size Control
• Organelle Size Regulation
• Histone Homeostasis
• +۵ مورد دیگر

Dr. Kurt Schmoller is a Group Leader at Helmholtz Munich, heading the Schmoller Lab within the Institute of Functional Epigenetics (IFE). His research focuses on understanding how cells regulate their size, maintain organelle homeostasis during growth, and adjust protein composition according to cell size. The lab employs interdisciplinary approaches combining quantitative biology, live-cell microscopy, AI-based image analysis, and mathematical modeling. Dr. Schmoller received his Diploma in Biophysics from TU München (2004-2008), followed by PhD studies at TU München in Andreas Bausch's lab (2008-2012), where he studied the mechanics of in vitro reconstituted cytoskeletal networks. He then pursued postdoctoral research at Stanford University with Jan Skotheim (2012-2017), developing his interest in cell size regulation. Since 2017, he has led the 'Cell Size and Organelle Control' research group at Helmholtz Munich. His research spans four main areas: Maintenance and Adaptation of Cell Size, Histone Homeostasis, Mitochondrial DNA Maintenance, and AI for live-cell imaging data analysis. Using model organisms including budding yeast (S. cerevisiae) and green algae (C. reinhardtii), his lab investigates fundamental cellular processes that are broadly conserved across eukaryotes. His work has significant implications for understanding diseases like cancer where cell size regulation is often disrupted. Analysis of his recent publications reveals a strong focus on the relationship between cell size and various cellular processes, with particular attention to histone regulation, mitochondrial DNA homeostasis, and the development of AI tools for image analysis. His work bridges molecular biology, biophysics, and computational approaches to address fundamental questions in cell biology. Dr. Schmoller leads a diverse research team including postdocs, doctoral researchers, and technicians working across multiple projects. His lab has developed notable tools such as Cell-ACDC, an open-source software for bioimage analysis that has been adopted by multiple laboratories. The lab maintains strong collaborations across institutions and participates in the broader 'Epigenetics at Helmholtz Munich' initiative. The Schmoller Lab operates from the Neuherberg Campus (Building 35.26 / Room 014) and maintains an active presence through their lab website, BioRxiv, and GitHub repositories. Their work receives support from Helmholtz Munich's infrastructure and resources, including access to advanced microscopy facilities and computational resources for AI-based image analysis.