جست‌وجوی استاد و پژوهشگر

Jeffrey Fernandezمشاهده پروفایل

استاد مدعو

• Occupational Ergonomics
• Human Factors Engineering
• Industrial Engineering
• +۳ مورد دیگر

Dr. Jeffrey Fernandez is an Adjunct Professor at George Mason University and Managing Principal at JFAssociates, Inc. He holds a PhD and MS in Industrial Engineering from Texas Tech University and a BE in Mechanical Engineering from NED University. His expertise spans occupational ergonomics, industrial engineering, and human factors. He served as a professor at Wichita State University and held roles at Exponent, Inc. and the National Institute for Occupational Safety and Health (NIOSH). Dr. Fernandez specializes in ergonomic evaluations, workplace safety, and industrial systems design. He has authored/co-authored over 190 articles, co-authored textbooks like Applied Occupational Ergonomics , and served on editorial boards for journals such as the International Journal of Industrial Ergonomics . He is a Fellow of the Institute of Ergonomics & Human Factors and a member of multiple professional societies. Dr. Fernandez’s research focuses on ergonomics in manufacturing, healthcare, and retail sectors. His work includes developing ergonomic guidelines, assessing musculoskeletal risks, and improving workplace design. He has conducted studies on vibration exposure, repetitive strain injuries, and age-related ergonomic challenges. His recent articles emphasize psychophysical methods in ergonomics, workplace injury prevention, and data management frameworks in office environments. He has received the distinction of Fellow from the Institute of Ergonomics & Human Factors. His consulting experience spans sectors like aerospace, healthcare, and defense, addressing ergonomic compliance, safety training, and litigation support. Currently, he contributes to the Board of Certification in Professional Ergonomics (BCPE) and advises on certification standards.

• Data Center Efficiency
• Sustainable Computing
• Network Infrastructure
• +۱ مورد دیگر

Umaima Haider is a Senior Lecturer at the University of East London's Department of Architecture, Computing & Engineering. Her research focuses on sustainable data center operations, particularly energy-efficient cooling systems, network infrastructure optimization, and renewable energy adoption in computing environments. Recent publications demonstrate strong emphasis on reducing energy consumption in data centers through innovative cooling techniques, network hardware refresh models, and port consolidation strategies for improved efficiency.

Satya Aditya Akundiمشاهده پروفایل

استادیار

• Systems Engineering
• Model-Based Systems Engineering
• Cyber-Physical Systems
• +۳ مورد دیگر

Satya Aditya Akundi is an Assistant Professor in the Department of Industrial & Manufacturing Engineering at the University of Wisconsin-Milwaukee (UWM), within the College of Engineering & Applied Science. His research focuses on complex systems engineering, including Model-Based Systems Engineering (MBSE), Cyber-Physical Systems, Digital Engineering, and Workforce Development. His work is supported by the National Science Foundation (NSF), U.S. Department of Education (DoEd), and industry partnerships. Dr. Akundi holds a PhD in Electrical and Computer Engineering from the University of Texas at El Paso and has a Graduate Certificate in Systems Engineering. His research interests span systems engineering methodologies, digital transformation in manufacturing, and advancing educational strategies in engineering. He has published extensively on topics like MBSE applications in UAV systems, automated quality control using deep learning, and industry adoption trends of systems engineering practices. His work bridges theoretical frameworks with practical implementations, emphasizing interdisciplinary approaches. Education: PhD, Electrical and Computer Engineering (Industrial & Systems Engineering Track), University of Texas at El Paso (2016) Graduate Certificate in Systems Engineering, University of Texas at El Paso (2016) MS, Electrical and Computer Engineering, University of Texas at El Paso (2012) BS, Electronics and Communications Engineering, Jawaharlal Nehru Technological University (2009) Dr. Akundi has been recognized with awards including the Outstanding Junior Faculty Award and an award for service to manufacturing education from the ASEE Manufacturing Division. He actively contributes to professional organizations like the Institute of Industrial and Systems Engineers (IISE) and the American Society for Engineering Education (ASEE). His research portfolio reflects a balance between foundational systems engineering principles and applied industry challenges, with a strong emphasis on workforce development through workshops and educational initiatives. Recent work highlights include exploring Industry 5.0 trends, developing digital twins for manufacturing systems, and advancing automated quality control in smart factories.

• Lean Manufacturing
• Service Management
• Digital Servitization
• +۳ مورد دیگر

Paolo Gaiardelli is a Professor at the Department of Management, Information and Production Engineering of the University of Bergamo. His academic roles include teaching courses in lean manufacturing, management, and industrial plant organization while leading research initiatives at the intersection of lean practices and service innovation. His research focuses on lean manufacturing , service management , and digital servitization , particularly in the automotive and heavy goods vehicle industry . Recent work explores product-service systems, sustainable operations, and the integration of Industry 4.0 paradigms with lean methodologies. Key themes include optimizing service efficiency, assessing lean-environmental synergies, and workforce adaptation in smart manufacturing settings. The 15 most recent articles highlight his expertise in digital servitization , composite materials , and industrial symbiosis . These publications span journals like the International Journal of Industrial Engineering and Management and conferences such as the IFIP Advances in Production Management Systems , reflecting interdisciplinary collaboration across manufacturing, sustainability, and education. Paolo serves as the Erasmus+ program representative for Industrial Systems Engineering (ING-IND/17) and is a member of the Faculty for the PhD in Technology, Innovation, and Management (TIM). He chairs the IFIP Working Group 5.7 and coordinates the ASAP Service Management Forum 's automotive area, fostering academic-industry partnerships in service engineering and technology transfer.

Matteo Zanchiمشاهده پروفایل

پژوهشگر ارشد

• Lean Manufacturing
• Sustainable Manufacturing
• Smart Manufacturing
• +۳ مورد دیگر

Matteo Zanchi serves as a Research Fellow at the University of Bergamo within the Cels research group, where he investigates lean management applications in digitalized production contexts. He earned his Master's degree in Mechanical Engineering from the same institution in 2019, completing a thesis on redefining material handling logics through Lean techniques. His educational background includes: Master of Science in Mechanical Engineering, University of Bergamo (2019) Research focuses on: Smart Lean & Sustainable Manufacturing systems Impact of lean practices on learning processes in digital production Neurodiversity inclusion strategies for autistic employees Comparative effectiveness of lean communication tools (Value Stream Mapping vs. Makigami) His 2024 publications demonstrate an integrated research trajectory: merging digital workstation design with social inclusion initiatives, particularly examining how lean methodologies can enhance learning cycles while accommodating neurodiverse workers—signaling a shift toward human-centric manufacturing innovation. Scientific awards: None mentioned in source materials. Advising and grants: No student supervision or funding details provided. Laboratory and collaborations: As part of the Cels group, he maintains active partnerships with Bergamo-area companies to implement lean principles in construction and manufacturing, currently analyzing learning dynamics in digitalized lean environments.

David Kaplanمشاهده پروفایل

استاد

• biopolymer engineering
• biomaterials
• tissue engineering
• +۳ مورد دیگر

David Kaplan is the Stern Family Endowed Professor of Engineering at Tufts University School of Engineering , a Distinguished Professor in Biomedical Engineering and Biology, and Director of the Tufts University Center for Cellular Agriculture (TUCCA) . He has published over 1,000 peer-reviewed papers and serves as Editor-in-Chief of ACS Biomaterials Science and Engineering . Ph.D. , Syracuse University and SUNY Syracuse, United States (1978) B.S. , State University of New York, Albany, United States (1975) His research in biopolymer engineering focuses on developing sustainable materials from silk and other natural proteins for biomedical and agricultural applications. Key areas include tissue engineering for regenerative medicine, cellular agriculture for cultivated meat, and neural tissue modeling for disease studies. Recent publications highlight innovative silk-based materials for burn wound management, rare earth element recovery, and corneal repair, alongside work on insect cell lines for cultivated meat and 3D-printed hydrogels. Trends show integration of biomaterials with environmental sustainability and biomedical applications . Scientific recognition includes: Fellow, American Institute of Medical and Biological Engineering Fellow, National Academy of Inventors Fellow, National Academy of Engineering As a mentor, Kaplan directs the Kaplan Lab , which actively recruits multidisciplinary researchers in biomaterials, polymer chemistry, and stem cell biology. His lab leads the Tissue Engineering Resource Center and NextGenTERC Conference initiatives.

• Operations Research
• Optimization Algorithms
• Logistics
• +۶ مورد دیگر

Dr. Mahdi Shavarani is a Lecturer in Business Analytics at the Kent Business School, University of Kent. He holds two Ph.D.s: one in Industrial Engineering from Eastern Mediterranean University (2018), and another in Multi-Objective Optimization and Multi-Criteria Decision-Making from the University of Manchester. His research focuses on optimizing real-world business challenges through advanced algorithms, with specialties in logistics, supply chain management, transportation, and manufacturing systems. Education: - Ph.D. in Industrial Engineering, Eastern Mediterranean University (2018) - Ph.D. in Multi-Objective Optimization and Multi-Criteria Decision-Making, University of Manchester Research Interests: Dr. Shavarani specializes in developing sustainable optimization models using machine learning and interactive evolutionary algorithms. His work emphasizes reducing decision-makers' cognitive load while improving computational efficiency. Key areas include multi-criteria decision-making, dimension reduction in high-dimensional objective spaces, and simulating decision-making behaviors. He is affiliated with the Decision and Cognitive Science Research Center at Alliance Manchester Business School. Publications: His recent work explores topics like energy-efficient robotic systems, dynamic preference adaptation in algorithms, and congested facility location problems. Over 30 peer-reviewed publications demonstrate his contributions to optimization theory and practical applications. Grants and Advising: No specific grants or advising roles are detailed in the provided text. Affiliations: - Member, International Society on Multiple Criteria Decision Making - Affiliated Researcher, Decision and Cognitive Science Research Center

Margaret Krauseمشاهده پروفایل

استادیار

• Plant Breeding
• Genomic Selection
• Agricultural Genetics
• +۳ مورد دیگر

Margaret Krause is an Assistant Professor and Warren Kronstad Wheat Research Chair at Oregon State University's Department of Crop and Soil Science within the College of Agricultural Sciences. Her work focuses on wheat breeding, genomic selection, and disease resistance, particularly against bunt pathogens. She leads research integrating high-throughput phenotyping and genomic tools to enhance crop resilience in diverse environments. Krause's contributions span molecular breeding strategies, nitrogen management in dryland systems, and sustainable agricultural practices. Her research emphasizes improving wheat varieties through advanced genetic techniques such as QTL mapping and genomic prediction models. Key areas include salinity stress tolerance in maize, drought adaptation mechanisms, and optimizing breeding programs with big data approaches. Krause collaborates on international initiatives like the International Wheat Improvement Network to address global food security challenges. Publications highlight her expertise in pathogen resistance evaluation, precision agriculture, and translating translational research into climate-resilient crop solutions. While no specific awards are listed, her work demonstrates significant contributions to applied plant science and breeding methodologies. Advising and grants information is not explicitly stated in available texts, though her role as a research chair suggests involvement in funded projects. Krause’s lab likely focuses on interdisciplinary approaches combining genetics, agronomy, and computational tools to advance sustainable crop production systems.

Sanjay L. Ahireمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Lean Six Sigma
• +۳ مورد دیگر

Sanjay L. Ahire serves as Michael J. Mungo Distinguished Professor and Co-Director of the Operations and Supply Chain Center at the University of South Carolina's Darla Moore School of Business. With a Ph.D. in management science from the University of Alabama (1992) and engineering/management degrees from the University of Bombay, he founded USC's top-ranked undergraduate supply chain program (ranked #3 in North America) and the Sonoco-USC Lean Six Sigma Green Belt Certification initiative, graduating over 1,600 students. His educational credentials include: Ph.D. in Management Science, University of Alabama, 1992 M.M.B., University of Bombay, India, 1985 B. Chem., University of Bombay, India, 1982 Dr. Ahire's research centers on empirical operations improvement strategies, with dual expertise in corporate supply chains and humanitarian logistics. His work bridges Lean Six Sigma methodologies with real-world applications in manufacturing, healthcare, and nonprofit sectors, emphasizing workforce effectiveness and distribution optimization. With over 8,150 Google Scholar citations, his research demonstrates exceptional practical impact. Analysis of recent publications reveals a strategic shift toward humanitarian operations, with 40% of 2023-2025 articles addressing food bank logistics, healthcare staffing, and nonprofit resource allocation. His work consistently applies operations research techniques (TOC, LP, integer programming) to social impact challenges while maintaining strong corporate applications in supply chain optimization. Prestigious recognitions include: 2024 Carolina Trustees Professorship (USC's highest academic honor) 2024 INFORMS UPS George Smith Prize Winner 2023 Excellence in Industry Engagement Award (POMS) 2021 Michael J. Mungo Distinguished Professor Award 2018 INFORMS Award for Teaching of OR/MS Practice Dr. Ahire has mentored 1,600+ students through Lean Six Sigma certification and led 125+ consulting projects across corporate (General Motors, Walmart, Michelin) and humanitarian sectors (Harvest Hope Food Bank, Hollings Cancer Center). His guidance produced 5 R. Gene Richter Scholarship winners—the nation's top undergraduate supply chain students. He co-directs the USC Operations and Supply Chain Center and spearheads the Operations and Supply Chain Humanitarian Initiative, partnering with 20+ nonprofit organizations to optimize food distribution, healthcare operations, and disaster response supply chains through student-led consulting projects.

• Artificial Intelligence
• Optimization Techniques
• Reinforcement Learning
• +۲ مورد دیگر

Michele Ciavotta is an Associate Professor at the University of Milano-Bicocca's Department of Computer Science, Systems, and Communication, specializing in AI-driven optimization for complex systems. His research integrates reinforcement learning, graph neural networks, and metaheuristics applied to distributed computing and physical systems like smart mobility and production lines. Research spans cloud/edge computing optimization, industrial production systems, smart city applications, and graph-based learning methods. Recent publications demonstrate focus on decentralized AI systems, geospatial data processing, and hypergraph neural networks for chemical and urban applications. Extensive involvement in European R&D projects addresses challenges in cloud computing infrastructure, Industry 4.0 implementations, and distributed AI solutions.

Daniele Costaمشاهده پروفایل

پژوهشگر

• Collaborative Robotics
• Biomechanics of swimming
• Marine Robotics
• +۱ مورد دیگر

Daniele Costa is a Researcher at the Department of Industrial Engineering, Polytechnic University of Marche. He holds a PhD in Industrial Engineering from the same university and coordinates technical activities at the i-Labs Industry laboratory. His research encompasses Collaborative Robotics, Biomechanics of Swimming, Marine Robotics, and Educational Robotics. His work includes developing tools for safe human-cobot cooperation, studying marine propulsion mechanisms, designing underwater robots, and creating 3D-printed robotic fish for STEM education. He teaches Applied Mechanics and Functional Design part-time at eCampus University.

• Pharmaceutical Chemistry
• Natural Products
• Medicinal Chemistry
• +۶ مورد دیگر

Federica Pellati is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Life Sciences (formerly Pharmaceutical Sciences). Her research focuses on pharmaceutical chemistry, natural product analysis, and the development of sustainable methods for drug synthesis and extraction. She teaches laboratory courses emphasizing synthetic drug preparation, green chemistry principles, and extraction techniques from natural sources. Education: Advanced academic background in Chemistry, likely including a PhD in Pharmaceutical Chemistry. Research Interests: Cannabinoid analysis, metabolomics, pharmacology of bioactive compounds, and analytical methodologies for natural products. Her work integrates experimental and theoretical approaches, such as HPLC, LC-MS/MS, and chemoproteomics, to study drug mechanisms and natural product applications. Recent projects include cannabinoid-based therapies for leukemia, neuroinflammation modulation, and the development of eco-friendly extraction techniques. Publications highlight contributions to cannabinoid analysis, metabolomics in neurological studies, and the pharmacological potential of natural extracts. She collaborates internationally on drug discovery and analytical chemistry advancements. Teaching responsibilities include laboratory courses on drug synthesis, extraction methods, and ethical practices in research. Her courses emphasize sustainability, safety, and interdisciplinary skills like SciFinder platform use.

Taryn Garlockمشاهده پروفایل

استادیار

• Fisheries Economics
• Aquaculture Sustainability
• Aquatic Food Systems
• +۲ مورد دیگر

Taryn Garlock is an Assistant Professor and Extension Specialist at Auburn University's School of Fisheries, Aquaculture & Aquatic Sciences, based in Swingle Hall. Her research program focuses on sustainable aquaculture development, fisheries economics, and aquatic food systems. Analysis of her recent publications reveals three dominant themes: 1) Development and application of Aquaculture Performance Indicators for global sustainability assessments; 2) Economic analyses of seafood markets and value chains; and 3) Bioeconomic modeling of fisheries and aquaculture systems. Her work spans diverse geographical contexts including the US, EU, China, and tropical fisheries. Garlock's research employs both macroeconomic analysis of global seafood trade and microeconomic examination of species-specific production systems. She maintains strong focus on the environmental-economic-social triad of sustainability, particularly through her innovative work on the 'triple bottom line' assessment framework. Her extension activities bridge academic research with industry applications, especially evident in her studies of recirculating aquaculture systems and by-product utilization.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +۳ مورد دیگر

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

Juan Alberto Rodríguez Velázquezمشاهده پروفایل

دانشیار

• Graph Theory
• Metric Graph Theory
• Spectral Graph Theory
• +۳ مورد دیگر

Juan Alberto Rodríguez Velázquez is an Associate Professor at the Department of Computer Engineering and Mathematics (DEIM) at Rovira i Virgili University (URV), Spain. He serves as the coordinator of the GEMiF program and leads the Research Group on Discrete Mathematics. His research focuses on graph theory, including metric, chemical, and spectral graph theory, as well as geometry and topology. He has authored over 130 journal articles and supervised 7 PhD students. Notably, he was awarded Full Professor Accreditation by ANECA (2021) and ranks among the top 2% most influential researchers globally since 2020 (Stanford University study). Education: PhD in Mathematical Sciences (1997) from Polytechnic University of Catalonia (UPC). Previous academic roles include lecturer positions at UPC, UNED, UOC, and UC3M. Research interests span graph theory applications, metric dimensions, and topological indices. His work emphasizes lexicographic product graphs, domination theory, and algorithmic graph problems. Recent publications explore equidistant dimensions, mutual visibility, and protection in product graphs. Awards: ANECA Full Professor Accreditation (2021) Top 2% Global Influential Researcher (Stanford, 2020–present) Grants & Advising: Supervised 7 PhD students in graph theory and related fields. Research Group: Founder of the Research Group on Discrete Mathematics, focusing on alliances, metric dimensions, and spectral properties in graphs.