جستجوی استاد راهنمای دانشگاهی

David Rickettsمشاهده پروفایل

استاد

• Integrated Circuits
• Nano- and Micro-Systems
• High-Speed Electronics
• +۵ مورد دیگر

David Ricketts is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NC State). He holds a Ph.D. from Harvard University and bachelor's/master's degrees from Worcester Polytechnic Institute. Prior to academia, he spent 8 years in industry developing over 40 integrated circuits for mixed-signal, RF, and power management applications. His research bridges physics, materials science, and circuit design to explore the ultimate capabilities of microelectronic devices and their integration into high-performance systems. Key focuses include nano/micro-integrated circuits for analog/high-speed applications, metamaterials, wireless power transfer, and additive manufacturing for millimeter-wave components. Education: Ph.D. in Engineering and Applied Sciences, Harvard University (2006) B.S./M.S. in Electrical Engineering, Worcester Polytechnic Institute Ricketts has pioneered innovations like the NC State Rabbit Radar (a DIY FM-CW radar) and sweat-powered BLE backscatter sensors. His work frequently explores practical applications of theoretical physics, such as using magnetoquasistatic fields for football tracking and 3D-printed waveguides for microwave systems. Notable awards include the NSF CAREER Award (2013) and the William F. Lane Outstanding Teaching Award (2021). His publications emphasize hands-on education, reconfigurable metamaterials, and high-efficiency wireless power systems. He leads projects funded by the Chancellor’s Innovation Fund for applications like wireless EKGs and rapid antibody tests. Research groups under his guidance focus on labs like the Monteith Research Center, where additive manufacturing and electromagnetic systems are actively explored. His work often bridges academic research with industrial relevance, leveraging both theoretical rigor and practical prototyping.

Håkon Jarand Dugstad Johnsenمشاهده پروفایل

دانشیار

• Solar Energy
• Nonimaging Optics
• Numerical Optimization
• +۳ مورد دیگر

Håkon Jarand Dugstad Johnsen is an Associate Professor at the Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU). His research focuses on solar energy systems, nonimaging optics, and numerical optimization, with a particular emphasis on advancing solar concentration and tracking technologies through innovative optical designs. Johnsen holds a Master’s degree and is pursuing a PhD at NTNU, where his work includes developing stationary solar tracking systems using beam-steering lens arrays and étendue-squeezing techniques. His research aims to enhance energy efficiency in solar applications by overcoming thermodynamic limits and optimizing optical systems. He has contributed to conferences like the International Conference on Concentrator Photovoltaics (CPV) and SPIE Optics + Photonics, presenting on topics such as high-concentration solar concentrators and freeform optics. His work has been recognized with the Young Scientist Award at CPV-18 in 2022. Johnsen teaches courses such as TMM4150 Machine Design and Mechatronics and TPK4125 Mechatronics at NTNU, integrating his research expertise into academic instruction. His presentations and publications highlight his commitment to advancing renewable energy through cutting-edge optical engineering and interdisciplinary approaches.

ChaBum Leeمشاهده پروفایل

دانشیار

• Semiconductor Metrology
• Interferometry
• 3D Imaging
• +۳ مورد دیگر

ChaBum Lee is an Associate Professor and Morris E. Foster Faculty Fellow in Mechanical Engineering at Texas A&M University. His research advances metrology and inspection for semiconductor manufacturing and precision systems. Research focuses on interferometry, 3D imaging, machine tool metrology, robotic machining, and optical spectroscopy. Key innovations include diffraction-based via inspection, autonomous wafer defect detection, and non-contact surface profiling. Recent publications emphasize semiconductor metrology advancements, including through-silicon via characterization, wafer edge inspection, and machine learning-driven quality control. Articles demonstrate integration of optics, sensors, and AI for manufacturing applications. Awards include: ASME Blackall Machine Tool Award (2020) Institute of Physics Emerging Leader (2021) ASPE Best Researcher (2017) Leads the Precision Metrology and Instrumentation Group (PMIG), collaborating with semiconductor industry partners including Samsung and Honeywell. Teaches courses in precision engineering and instrumentation.

Serap Savariمشاهده پروفایل

دانشیار

• Information Theory
• Data Compression
• Network Coding
• +۳ مورد دیگر

Serap Savari is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, College of Engineering. She holds a Ph.D. from the Massachusetts Institute of Technology (1996). Her research focuses on information theory, data compression, network coding, and computing/communication systems. Her work spans applications in semiconductor manufacturing analytics, image processing (SEM imaging), and network optimization. Her research includes advancements in image registration techniques, error analysis in superresolution imaging, and deep learning applications for denoising SEM images. She has contributed to compression algorithms for lithography systems and network coding methodologies for constrained networks. Savari’s work bridges theoretical foundations (e.g., fix-free codes, entropy conservation) with practical engineering challenges in manufacturing and communication systems. Her publications reflect a trajectory from foundational coding theory (1990s) to modern applications in AI-driven image analysis (2020s). Notable contributions include optimizing multibeam mask writers and developing uncertainty quantification methods for semiconductor line-edge roughness. No scientific awards are explicitly listed in the provided text. She has advised no students listed here, though her research may involve collaborative teams. Her office is located in WEB 308G, with contact via savari@tamu.edu.

• Visual Arts
• Crafts
• Contemporary Jewellery
• +۳ مورد دیگر

Dr. Nicholas Bastin is a Lecturer in the School of Art at RMIT University (City Campus, Australia). His research focuses on contemporary jewellery, miniature objects, and intersections between art, mythology, and cultural landscapes. He supervises Masters/PhD research in areas like 'Incomplete Beauty' in jewellery, forest phenomenology, and kintsugi metaphors. Teaching interests include time travel narratives, hero archetypes, and the habitat of action figures. Research outputs include creative works exhibited globally, such as jewellery reimagining botanical specimens (2013) and neo-plastic artefacts (2010). His practice bridges craft traditions with contemporary critical discourse. Notable supervision topics explore affective spaces, multi-sensory installations, and socio-cultural dimensions of creative practices. While no awards are listed, his work emphasizes innovative approaches to material culture and artistic process.

• Object Design
• Craft and Metalwork
• Architectural Space
• +۳ مورد دیگر

Mark Edgoose is a Senior Lecturer and Coordinator of Undergraduate Studies in Gold and Silversmithing at RMIT University's School of Art. He has over three decades of academic leadership in Australian Jewellery and Object Making, previously holding roles at Monash University and Sydney College of the Arts. His research explores containment, spatial habitation, and functional ambiguity in objects, with a focus on material innovation and installation art. Education highlights include a Masters by Research (RMIT, 1997) investigating aerospace materials in hollowware production. His work has been exhibited globally, including a notable commission for the Federation of Australia commemoration at Government House NSW. Awards include the 1996 Deacons Graham & James Award and 1995 National Craft Award. Research interests center on object design, architectural space, and material experimentation. Supervision projects focus on hybrid metal formations, jewelry's social roles, and digital narrative objects. Edgoose has led academic programs like Sydney College of the Arts' Foundation Year, emphasizing inclusive learning environments. Notable works include 'Rail as Vessel' (2015), 'Ring and Box Series' (2013), and installations addressing material disobedience and urban contexts. His practice bridges craft, art, and architecture, reflecting a commitment to expanding object-making's conceptual boundaries.

Reza Ovissipourمشاهده پروفایل

استادیار

• Cellular Agriculture
• Precision Fermentation
• Food Safety
• +۳ مورد دیگر

Reza Ovissipour is an Assistant Professor in the College of Agriculture and Life Sciences at Texas A&M University with offices at CMAT 100. He earned a B.Sc in Natural Resources Engineering-Aquaculture Engineering from Gorgan Agricultural Sciences and Natural Resources University, Iran (2004); M.Sc in Natural Resources Engineering-Seafood Science and Technology from Tarbiat Modares University, Iran (2006); and dual Ph.Ds in Natural Resources Engineering-Bioprocess Engineering (Tarbiat Modares, 2010) and Biosystems Engineering-Food Engineering (Washington State University, 2017). His research program focuses on developing sustainable agri-food systems through cellular agriculture, precision fermentation, AI-assisted food processing, and agri-food waste valorization. Specific expertise includes nanobubble sanitation technology, cellular aquaculture systems, and biomaterial development for cultivated meat applications. Current projects investigate sustainable alternatives to fetal bovine serum in cell culture media, plant-based scaffolds for cellular agriculture, and pathogen control in food production systems. Dr. Ovissipour has received multiple awards including the Startup Builder Award (2023), International Travel Award (2019), and Arnie & Marta Kegel Endowed Fellowship (2017). He currently advises PhD student Arian Amirvaresi and Masters student Reyhaneh Sharkarat. His laboratory explores applications of microbial communities, nanobubble technology, and computational approaches to enhance food safety and production efficiency.

Vaibhav Unhelkarمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۴ مورد دیگر

Vaibhav Unhelkar is an Assistant Professor of Computer Science at Rice University, part of the George R. Brown School of Engineering. He leads the Human-Centered AI and Robotics (HCAIR) group, focusing on developing AI systems that enhance human capability through collaboration. His expertise spans human-robot interaction, interactive machine learning, and human-AI collaboration. Unhelkar holds a PhD in Autonomous Systems from MIT and previously worked at X (formerly Google X). He earned undergraduate degrees from IIT Bombay in Aerospace Engineering. Education: PhD in Autonomous Systems, MIT (2020) MS in Aeronautics & Astronautics, MIT (2015) BTech/MTech in Aerospace Engineering, IIT Bombay (2012) Research Interests: Unhelkar’s work merges AI, robotics, and human factors to create systems that collaborate with humans. Key areas include human-robot teamwork in disaster response, AI coaching for surgical teams, and transparent AI systems. His lab has deployed robots in automotive factories and explores healthcare applications like robotic nurse training. Notable Contributions: RW4T Dataset: Simulated disaster response human-robot interaction data ASTRID: Robotic tutor for healthcare training Received Best Video Award at AAMAS 2022 for work on autonomous agent transparency Labs & Teams: The HCAIR group collaborates with industry and medical experts to address real-world challenges. Ongoing projects include AI-driven team training and explainable AI for medical decision-making.

• Electromagnetic Theory
• Microwave Engineering
• Antenna Design
• +۲۱ مورد دیگر

Giuseppe Schettini is a Full Professor in the Department of Industrial, Electronic and Mechanical Engineering at Roma Tre University, Italy. His research spans electromagnetic theory, antenna design, microwave engineering, and fusion energy systems, with a focus on electromagnetic band-gap (EBG) structures, resonant-cavity antennas, through-the-wall imaging, and Lower Hybrid Current Drive (LHCD) for tokamaks. His research interests include computational electromagnetics, wireless power transfer, photonic crystals, leaky-wave antennas, and 3D-printed dielectric components. He employs advanced numerical techniques such as the Cylindrical Wave Approach (CWA), Finite-Difference Time-Domain (FDTD), and Finite Element Method (FEM) for modeling and simulation. His work bridges theoretical analysis with experimental validation, particularly in microwave components and imaging systems. Recent publications highlight trends in high-gain antennas using 3D-printed superstrates, directive radiation from photonic crystals, and applications in fusion energy (e.g., DTT and ITER). His work also extends to wearable and implantable device interactions, radar systems, and inverse scattering for through-the-wall imaging. He frequently collaborates with researchers such as Cristina Ponti, Paolo Baccarelli, Silvio Ceccuzzi, and Lara Pajewski. Giuseppe Schettini has no listed scientific awards in the provided text. He advises students and researchers in electromagnetic theory and antenna systems, though specific names are not listed. His work is supported by national and international projects related to fusion energy, microwave systems, and radar technologies. He contributes to major initiatives like the Divertor Tokamak Test (DTT) facility and ITER-relevant LHCD systems. He leads research activities in electromagnetic scattering, microwave component design, and imaging systems. His team focuses on EBG-based antennas, cylindrical wave modeling, and experimental characterization of dielectric structures. The laboratory work includes 3D printing for antenna superstrates and FDTD simulations for GPR and biomedical applications.

• Management Science
• Operations Research
• Optimisation Algorithms
• +۷ مورد دیگر

Professor Celia Glass is a faculty member at Bayes Business School (formerly Cass), City, University of London, where she holds the title of Professor of Management Science within the Faculty of Actuarial Science and Insurance. She has been at the institution since 1999 and was awarded a personal Chair in 2003 for Operational Research and later in 2016 for Management Science. She earned her BSc and PhD from King's College London. She has held visiting appointments at Queen Mary University of London and has been actively involved in professional societies. Her research focuses on Management Science and Operations Research , particularly in scheduling, optimization, and logistics. Key areas include doctor and nurse rostering for the NHS, call centre tour scheduling, optimization in telecommunications (wireless mesh and optical networks), combinatorics of acyclic graphs, and production logistics in food safety laboratories. Her work is often supported by EPSRC grants and has practical industrial applications. Her recent publications demonstrate a consistent trend in combinatorial optimization and scheduling theory , with applications spanning healthcare , telecommunications , and manufacturing . Her work frequently involves developing and analyzing algorithms for complex scheduling problems, often with real-world constraints like perishability, employee preferences, and network limitations. Fellow, Operational Research Society Fellow, London Mathematical Society Fellow, Institute of Mathematics and its Applications Member, EPSRC College She has supervised numerous PhD students, including Robert Schumacher, Roger Knight, and Ian B. Davies, on topics related to scheduling and optimization. She has secured research funding and performed significant consultancy work for organizations such as the NHS (Whittington Hospital), OfCom, and the Registered Nursing Homes Association, translating her academic research into practical solutions. She has also co-organized workshops and served on editorial boards for journals like European Journal of Operational Research and Operations Research for Health Care . Professor Glass is a key member of research teams focused on applying operational research to healthcare planning and industrial optimization. Her spin-out company, Nightglass Medical Rostering Ltd., provides customized rostering software for the NHS, showcasing the direct impact of her research.

Patrick Neumannمشاهده پروفایل

استاد

• Human Factors Engineering
• Ergonomics
• Sustainable Work Systems
• +۷ مورد دیگر

Patrick Neumann is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, where he serves as Director of the Human Factors Engineering Lab. His work integrates human factors, ergonomics, and sustainable innovation into engineering design and industrial systems. Education: BSc, University of Waterloo MSc, University of Waterloo PhD, Lund Technical University LicEng, Lund Technical University Neumann's research centers on human factors engineering , ergonomics , and sustainable work systems . He advocates for designing workplaces that enhance both productivity and worker health, promoting the idea that injury prevention is an engineering challenge. His work spans organizational design, operations engineering, and Industry 5.0, with a strong emphasis on human-centered design in manufacturing and healthcare systems. His recent publications reveal a consistent focus on integrating human factors into industrial operations—particularly in order picking, assembly design, and production quality. These works emphasize systematic frameworks, modeling, and action research to bridge gaps between technical systems and human capabilities. Scientific Awards: Best Paper Award, International Journal of Production Research (2018) Editor’s Pick, IJPR 55th Anniversary (2017) Liberty Mutual Award, CIEHF (2015) Best Paper Award, German Association of Business Management Scholars (2014) Elsevier Science Clinical Biomechanics Award, ISB (1997) Neumann is actively involved in academic service, serving as Associate Editor for IISE Transactions on Occupational Ergonomics and Human Factors . He supervises graduate students and leads research initiatives in humanized engineering processes. His work is supported by strong professional affiliations including the Institute of Industrial and Systems Engineers, Association of Canadian Ergonomists, and Professional Engineers of Ontario. He leads the Human Factors Engineering Lab , which focuses on developing predictive tools for workplace design, integrating ergonomics into engineering processes, and promoting sustainable innovation in industrial systems.

• Supply Chain Management
• Sustainable Supply Chain Management
• Reverse Logistics
• +۱۲ مورد دیگر

Kannan Govindan is a Professor at the Department of Technology and Innovation, University of Southern Denmark (SDU), where he is affiliated with the SDU Centre for Sustainable Supply Chain Engineering, SDU Climate Cluster, and SDU SCC Elite Center CUHRE. He serves as Director of Indian Relations and leads extensive research in sustainable supply chain management, optimization, and circular economy. His work bridges academic rigor with real-world industrial applications, particularly in SMEs and green logistics. Professor, SDU Centre for Sustainable Supply Chain Engineering Professor, SDU Climate Cluster Professor, SDU SCC Elite Center CUHRE Director, Indian Relations, Department of Technology and Innovation His research interests include supply chain optimization, reverse logistics, green and circular supply chains, decision-making models, and sustainability in SMEs. He employs quantitative methods, network modeling, and AI to develop frameworks that enhance supply chain resilience and environmental performance. The recent publications reflect a strong focus on sustainable supply chain performance, circular economy integration, IoT and blockchain applications, and optimization techniques such as Lagrangian relaxation and metaheuristics. His work increasingly emphasizes digital transformation (Industry 4.0/5.0), business resilience, and the role of technology in enabling sustainable practices across industries. Highly Cited Researcher Award (2018) Best Paper Award (2018) 2018 Most Cited Paper Award (2019) Influential Paper Awards (2018) for seminal works in green supplier evaluation and reverse logistics Emerald Citations of Excellence (2017) Professor Govindan has supervised numerous research projects and PhD students, and he actively contributes to the academic community as an editor for leading journals such as Journal of Cleaner Production and Industrial Management & Data Systems . He has secured significant research grants, particularly in sustainability and circular economy initiatives, including projects like SDG Tools and DecomBlades . He teaches courses on supply chain decisions, sustainability, and circular economy, including a summer school program for engineers and business professionals. He is a key member of several research teams and centers at SDU, including the Elite Centre CUHRE, where he collaborates on interdisciplinary research integrating sustainability, education, and industrial innovation. His network spans global collaborations, particularly with institutions in India and Southeast Asia, reflecting his role in international academic relations.

Christopher Gweninمشاهده پروفایل

استاد

• Biosensors
• Electrochemical Detection
• Point-of-Care Diagnostics
• +۷ مورد دیگر

Christopher Gwenin is a Professor in Applied Health Sciences at Abertay University, affiliated with the Department of Built Environment and Life Sciences. His research is centered on developing innovative, low-cost diagnostic technologies for global health challenges, particularly in endocrinology and infectious diseases. His research interests span biosensors, electrochemical detection, enzyme-prodrug therapy, and point-of-care diagnostics. He focuses on cortisol monitoring, tuberculosis, and Buruli ulcer detection, leveraging technologies such as screen-printed electrodes, 3D printing, and smartphone integration to create portable, accessible diagnostic tools. The recent articles highlight a consistent trend in developing electrochemical and impedimetric biosensors for hormone and disease detection, with an emphasis on accessibility and low-cost fabrication. His work bridges analytical chemistry, biomedical engineering, and public health, aiming to translate laboratory innovations into real-world clinical applications. Christopher Gwenin has collaborated with researchers across disciplines and geographies, contributing to journals such as Talanta , Diagnostic Microbiology and Infectious Disease , and Sensors and Actuators Reports , as well as book chapters in the Detection Science Series . His work has been featured in multiple news outlets and academic platforms, indicating broad scientific and public impact. He is actively involved in research with no indication of retirement or part-time status. While no formal list of students or awards is provided, his publication record and leadership in multi-author studies suggest an active research group and mentorship role.

• Production Management
• Industry 4.0
• Logistics Optimization
• +۷ مورد دیگر

Jan Ola Strandhagen is a Professor at the Department of Engineering and Production (Institutt for maskinteknikk og produksjon) at the Norwegian University of Science and Technology (NTNU). His research focuses on production management systems, Industry 4.0 applications, logistics optimization, and smart production planning. Key areas include tactical production planning, feedback data integration, autonomous systems in healthcare, and supply chain sustainability. Strandhagen has organized and contributed to major conferences like the IFIP WG 5.7 International Conference on Production Management Systems. His work bridges theoretical frameworks with practical case studies in manufacturing, shipbuilding, and healthcare sectors. Recent projects address challenges in digitalization, lean manufacturing, and decision support systems for production environments. Publications highlight innovations in autonomous material handling, smart production control systems, and offshoring strategies in shipbuilding. His research emphasizes data-driven approaches to enhance operational efficiency and sustainability across industries.

John Quigleyمشاهده پروفایل

استاد

• Risk Modeling
• Decision Support Systems
• Bayesian Networks
• +۵ مورد دیگر

John Quigley is a Professor of Management Science at the University of Strathclyde, serving as Vice Dean (Research) of the Strathclyde Business School since 2021. Previously, he was Head of the Management Science Department (2016–2019). He holds a BMath in Actuarial Science from the University of Waterloo (1993) and a PhD in Management Science from the University of Strathclyde (1998). His research focuses on risk modeling and decision support systems, integrating data analysis and expert judgment. Key areas include large-scale manufacturing, offshore windfarm maintenance, and search and rescue (SAR) operations in Arctic regions. Notable projects include the NNSAR initiative (funded by NERC and NRC), enhancing SAR systems in Nunavut and Nunavik, and the Productivity and Sustainability Management project optimizing manufacturing processes via real-time data and probabilistic networks. He collaborates with industries like Rolls-Royce, Scottish Power, and the European Food Safety Agency. Quigley has received awards such as the FAIM 2025 Sullivan Best Paper Award and the 2010 KTP Award. His teaching spans undergraduate, postgraduate, and executive education programs globally, emphasizing technology integration in pedagogy.