جست‌وجوی استاد و پژوهشگر

• Process Analytical Technology (PAT)
• Food and Bioproducts Processing
• Bioprocessing
• +۵ مورد دیگر

Colm O'Donnell is a Full Professor at the School of Biosystems and Food Engineering, University College Dublin (UCD). He leads the Food Quality and Processing Pillar at UCD's Institute of Food & Health and has held roles including Head of the School and Vice-Principal for Teaching & Learning in the College of Engineering & Architecture. His research focuses on Process Analytical Technology (PAT), bioprocessing, and dairy technology, with emphasis on spectroscopy, bioactive compound extraction, and food safety. He coordinates EU-funded projects like DiTECT and FreshProof, and leads the UCD team in the Dairy Processing Technology Centre (DPTC). O'Donnell is a Fellow of the Irish Academy of Engineering and has been recognized as a Thomson Reuters Highly Cited Researcher. Education: BE and PhD from University College Dublin, Chartered Engineer (CEng). Research Interests: PAT for food/bioproducts, dairy processing innovations, and bioactive extraction from seaweeds. His group develops non-destructive technologies like NIR-HSI and acoustic sensors for real-time quality monitoring in food production. Grants: Over 40 grants including EU Horizon 2020, Marie Sklodowska-Curie, and industry partnerships. Recent projects include acoustic sensor development for milk protein concentrate (2020-2022) and seaweed biorefinery processes (2018-2023). Awards: Irish Academy of Engineering Fellowship (2022), EU Comett Fellowship, and editorial roles at International Journal of Food Properties and Food Engineering Reviews . Labs/Teams: Leads the PAT-focused research group at UCD's Institute of Food & Health, collaborating with industry partners like DPTC and global academic networks.

Andreas Waltherمشاهده پروفایل

استاد

• Adaptive materials
• Bioinspired systems
• Self-assembly
• +۳ مورد دیگر

Prof. Dr. Andreas Walther is a Professor of Macromolecular Materials and Systems at the Department of Chemistry, Johannes Gutenberg University Mainz, Germany. He is also a Research Fellow at the Gutenberg Research College and the Max Planck Institute for Polymer Research. His research focuses on adaptive, bioinspired materials systems, self-assembly processes, and energy-driven functional materials. Key projects include the development of ATP-fueled systems, dissipative systems engineering, and light-actuated materials. Walther leads the Walther Lab, specializing in life-like materials and systems, and contributes to educational initiatives like the livMatS program. His expertise spans hierarchical self-assembly, biomimetic materials, and non-equilibrium systems. Recent work emphasizes communication in chemically fueled networks and programmable DNA coacervates. Publications highlight breakthroughs in ATP-responsive materials, scalable hydrogel synthesis, and light-controlled systems. Awards and grants include DFG funding for livMatS-related research. He advises two PhD students and collaborates widely across institutions.

• Metal Forming
• Aluminum Alloys
• Product Development
• +۳ مورد دیگر

Torgeir Welo is a Professor at the Department of Mechanical and Industrial Engineering , Norwegian University of Science and Technology (NTNU) . He specializes in metal forming , particularly aluminum alloy structures , with a focus on plastic bending behavior , dimensional stability , and 3D forming technologies . His research also encompasses Lean Product Development , emphasizing knowledge reuse and maximizing customer value in automotive and aerospace applications. Key Research Areas : Metal Forming, Aluminum Processing, Springback Control, Lean Development, Additive Manufacturing, Material Substitution Teaching : Courses on Aluminum Technology , Metal Forming Analysis , and Machine Element Design Publications (15 most recent): Focus on springback monitoring , charge weld evolution , flexible forming , machine learning applications , and circular economy frameworks in metal manufacturing.

• Lean Manufacturing
• Life-Cycle Costing
• Risk Management
• +۷ مورد دیگر

Jan Emblemsvåg is a Professor at NTNU’s Department of Ocean Space Operations and Civil Engineering in Ålesund, Norway. He has held senior industry roles including Shipyard Director at Vard, SVP Ship Design & Systems at Rolls-Royce Marine, and Managing Director at Midsund Bruk. His academic positions span BI Norwegian Business School, Ålesund University College, and NTNU since 2006. Emblemsvåg’s expertise bridges engineering and management, focusing on sustainable development through rigorous analytical frameworks. Education: PhD from Georgia Institute of Technology (1999), MSc (1995), and Civil Engineering degree from Norwegian Institute of Technology (1994). R&D focuses on six core areas: 1) Product/process development with Lean methodologies, 2) Life-Cycle Costing/Analyses (integrating cost, environmental, and social dimensions), 3) Risk management and uncertainty analysis using Monte Carlo methods, 4) Operations/General management under Lean principles, 5) Project management with Lean integration, and 6) Renewable energy (especially nuclear power’s role in maritime and industrial sectors). Publications emphasize energy policy critiques, nuclear propulsion feasibility, and sustainable shipping. Recent work highlights nuclear energy’s potential as a cost-effective, low-emission solution for maritime transport and industrial needs. Active in policy debates advocating evidence-based energy strategies. Labs/Teams: Leads NTNU’s research initiatives on nuclear propulsion for merchant ships (NuProShip project) and collaborates internationally on maritime safety and evacuation modeling.

Chuan-Fu Linمشاهده پروفایل

دانشیار

• Energy Storage Systems
• Nanotechnology
• Materials Synthesis and Processing
• +۵ مورد دیگر

Chuan-Fu Lin is an Associate Professor in the Department of Mechanical Engineering at The Catholic University of America (CUA), School of Engineering. His research focuses on energy storage systems , nanotechnology , and materials innovation for renewable energy and advanced manufacturing . He founded and directs the Energy Materials Innovations Laboratory (EMI-Lab) , which develops solid-state electrolytes , Li/Na metal anodes , and low-cost eco-friendly energy storage solutions through atomic layer deposition (ALD) and thin film engineering . 2024 : Secured $637k DOE grant to study interfacial kinetics of conversion materials 2023 : Published on fluorinated SEI layers for sodium batteries 2022 : Advanced LiPON protection strategies 2021 : Developed Al2O3-coated Mg anodes 2020 : NSF collaborative award with Prof. Rubloff and Qi His work spans solid-state batteries , aqueous battery systems , and conversion electrode materials , with a strong emphasis on preventing corrosion , enhancing cycling stability , and reducing overpotential . Key projects include polymer/ceramic hybrid electrolytes , in-operando characterization cells , and scalable current collector designs . Notable scientific awards include the 2024 Charles H. Kaman Award and NSF support for collaborative research.

Maozhen Liمشاهده پروفایل

استاد

• High Performance Computing
• Big Data Analytics
• Artificial Intelligence
• +۱۳ مورد دیگر

Maozhen Li is a Professor in the Department of Electronic and Electrical Engineering at Brunel University of London , within the College of Engineering, Design and Physical Sciences . He serves as the Vice-Dean of the NCUT Transnational Education (TNE) programme, overseeing a joint school with North China University of Technology. He has been at Brunel since 2002, progressing from Lecturer to Professor in 2013. Education: PhD, Institute of Software, Chinese Academy of Sciences (1997) Postdoctoral Research, School of Computer Science and Informatics, Cardiff University (1999–2002) His primary research interests lie in high performance computing, big data analytics, and artificial intelligence, with applications in smart grids, smart manufacturing, and cybersecurity. He focuses on developing interpretable, robust, and lightweight AI models, including work in causal AI, parallel machine learning, and edge computing. His research integrates advanced techniques such as deep learning, reinforcement learning, and blockchain for real-world system optimization. An analysis of his recent publications reveals a strong and consistent research trajectory in AI-driven solutions for environmental monitoring (e.g., PM2.5 prediction), industrial defect detection, IoT security, and intelligent transportation. His work frequently combines deep learning with graph-based modeling and federated or reinforcement learning, emphasizing scalability, efficiency, and robustness in distributed and edge environments. Scientific Awards and Recognition: Fellow of the Institution of Engineering and Technology (IET) Fellow of the British Computer Society (BCS) Shortlisted for the Computing UK BIG DATA EXCELLENCE AWARDS 2018 in the category of Most Innovative Big Data Solution Maozhen Li has successfully supervised 25 PhD students and examined over 30 PhD theses externally. He has secured significant research funding from EPSRC, the European Union (Horizon 2020), Innovate UK, and the Royal Society , with projects including Z-BRE4K, IoRL, and TDX-ASSIST. He serves as an Associate Editor for journals such as the Journal of Cloud Computing and the International Journal of Grid and High Performance Computing . Research Groups and Teams: He is affiliated with the Intelligent Engineering Frameworks (IEF) research group at Brunel, contributing to collaborative efforts in AI, IoT, and smart systems. His leadership in transnational education also fosters international research collaboration between Brunel and Chinese institutions.

Stephen W. Hoagمشاهده پروفایل

استاد

• Tablet Formulation
• Process Development
• Capsule Filling
• +۲۸ مورد دیگر

Stephen W. Hoag is a Professor in the Department of Pharmaceutical Sciences at the University of Maryland School of Pharmacy. His research spans pharmaceutical formulation, process development, and analytical technologies, with a strong emphasis on solid oral dosage forms and controlled release systems. University: University of Maryland School: School of Pharmacy Department: Department of Pharmaceutical Sciences Email: shoag@umaryland.edu Phone: (410) 706-6865 Fax: (410) 706-0346 Address: 20 North Pine Street, Baltimore, MD 21201 Education: B.S. in Biochemistry, University of Wisconsin–Madison, 1982 Ph.D. in Pharmaceutics, University of Minnesota, Twin Cities, 1990 Dr. Hoag's research is centered on two primary areas: (1) the development of systematic methods for formulating immediate and controlled release tablets, utilizing instrumented tablet presses, shear cell analysis, and process analytical technology (PAT) such as Near-Infrared (NIR) and Raman spectroscopy; and (2) the application of mathematical models to understand mass transport in hydrogels, including calcium alginate and silk-elastinlike protein polymers. His work on folic acid supplementation and prenatal vitamins has important public health implications due to the role of folic acid in preventing neural tube defects. Although no recent publications are listed in the provided text, his research output is evident through his co-editorship of the widely used reference work Pharmaceutical Dosage Forms: Tablets (3rd edition, 2008), and his leadership in developing best practices for PAT in pharmaceutical manufacturing. Scientific Awards: No specific awards mentioned in the provided text. Dr. Hoag has actively mentored a large number of graduate students, postdoctoral fellows, and visiting scientists, contributing significantly to pharmaceutical education and workforce development. His laboratory is equipped with state-of-the-art instrumentation for preformulation, formulation, tableting, coating, dissolution testing, and analytical characterization. The lab supports both non-clinical and GMP-level manufacturing research, enabling translational development of dosage forms. He also leads a hands-on short course on tablets and capsules, further extending his educational impact. Research Facilities: Thermal analysis (DSC, MDSC) Solubility and viscosity measurement Moisture analysis (Karl Fisher, LOD) Mechanical testing (Instron) Flow characterization (shear cell, angle of repose) Particle size analysis (laser diffraction, SEM, sieve) Tablet presses (Stoke’s B2, Manesty Beta, fully instrumented) Coating systems (fluid bed, pan coaters) UV/Vis, HPLC, GC, MS instrumentation Environmental stability chambers Granulation, milling, blending equipment Dissolution testing with autosampler

Jianqi Xiمشاهده پروفایل

استادیار

• Nuclear Materials
• Fusion Materials
• Radiation Effects
• +۵ مورد دیگر

Jianqi Xi is an Assistant Professor in the Department of Nuclear, Plasma & Radiological Engineering at the University of Illinois Urbana-Champaign, affiliated with The Grainger College of Engineering. His research focuses on nuclear materials, combining multiscale modeling with experimental techniques to understand material degradation under radiation and corrosive environments. He holds a Ph.D. in Materials Science and Engineering from the University of Tennessee-Knoxville (2017). Before joining UIUC, he held postdoctoral and industry positions at the University of Wisconsin-Madison and ThermoFisher Scientific. Research Interests: Fusion Materials Design Radiation-Corrosion Synergy Multiscale Modeling of Microstructure Evolution Data-Driven Materials Innovation Molten Salt Corrosion Recent publications emphasize atomic-scale mechanisms in silicon carbide (SiC) corrosion, radiation damage mitigation, and advanced ceramics design. His work bridges computational simulations with experimental validation to address challenges in nuclear energy systems. Awards include the Joseph E. Spruiell Award (2017) and recognition as an Outstanding Reviewer (2018). He leads the Modeling of Nuclear Materials (MNM) Group , focusing on interdisciplinary approaches to accelerate material discovery for next-generation nuclear reactors. Current openings exist for researchers interested in computational materials science and experimental collaborations.

Rebecca Nugentمشاهده پروفایل

استاد

• Clustering Methodology
• Record Linkage
• Educational Data Mining
• +۵ مورد دیگر

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Department Head at Carnegie Mellon University. She holds a PhD in Statistics from the University of Washington (2006), an MS in Statistics from Stanford (2006), and a BA in Mathematics, Statistics, and Spanish from Rice University (2002). Her research spans clustering methodology , record linkage , educational data mining , public health , and semantic organization , with a focus on high-dimensional data and adaptive learning environments. She leads the Integrated Statistics Learning Environment (ISLE) and Corporate Capstone programs, emphasizing low-barrier data platforms for education and industry collaboration. Academic Roles : Department Head, Carnegie Mellon; Affiliated Faculty, Block Center for Technology and Society Research Grants : NSF (2017-2019), NIH (2018), Carnegie Mellon ProSEED/Simon Initiative (2020, 2018), Berkman Fund (2014) Her 15 most recent publications focus on data science pedagogy, clustering algorithms, record linkage applications in historical and medical data, educational data mining, and semantic organization studies. Awards include the ASA Waller Education Award (2015) and the William H. and Frances S. Ryan Award (2015) . She mentors a diverse group of PhD, Master's, and undergraduate students, with alumni pursuing careers in academia, industry, and sports analytics.

• Artificial Intelligence
• Smart Cities
• Sensor Technology
• +۵ مورد دیگر

Cormac Fay is a Research Fellow in Artificial Intelligence for Smart Cities at the School of Computing and Information Technology (SCIT), University of Wollongong, within the Faculty of Engineering and Information Sciences. His roles include affiliations with the SMART Infrastructure Facility and the ARC Centre of Excellence for Electromaterials Science. Previously, he held positions at Dublin City University, including post-doctoral roles in sensor research and data analytics. He holds a PhD in Engineering from Dublin City University (2013), an M.Eng. in Telecommunications Engineering (2007), and a B.Eng. in Mechatronic Engineering (2005). His research focuses on AI-driven smart city technologies, sensor systems for environmental monitoring, and advanced 3D printing materials. Key areas include IoT-enabled carbon-emission tracking, wearable biomedical devices, and sustainable sensor networks for landfill gas management. He has developed innovative solutions such as cryogenic 3D printing techniques for biocompatible inks and LED-based optical sensing platforms. Dr. Fay has secured grants totaling over $X million, including projects on military diver monitoring, blue carbon ecosystems, and low-cost sensor networks for agriculture and environmental safety. His work integrates interdisciplinary approaches, bridging materials science, biomedical engineering, and environmental engineering. Grants: Led projects on carbon-emission IoT systems, oyster farming sensors, and vibration monitoring. Supervision: Advised a Master's project on biomimetic microfluidic fabrication (2017–2019). Labs/Teams: Collaborates with the SCIT, SMART Infrastructure Facility, and global institutions like École Polytechnique Fédérale de Lausanne.

M.Z. Naserمشاهده پروفایل

استادیار

• Machine Learning
• Structural Engineering
• Fire Engineering
• +۵ مورد دیگر

Dr. M.Z. Naser is an Assistant Professor in the Glenn Department of Civil Engineering at Clemson University. His research focuses on causal and explainable machine learning methodologies applied to structural engineering, materials science, and fire safety. He holds a PhD from Michigan State University and an M.S. from the American University of Sharjah. Naser teaches courses such as Machine Learning for Civil Engineers and Structural Fire Engineering, emphasizing interdisciplinary innovation. His work bridges data-driven analysis with domain-specific knowledge to address challenges in resilient infrastructure design, including fire-resistant materials, structural retrofits, and AI-driven decision-making. Education: PhD, Michigan State University; M.S., American University of Sharjah Research Themes: Explainable AI, Fire Engineering, Structural Materials, Causal Inference Key Projects: Developing SPINEX framework, wildfire classification models, and cognitive infrastructure systems Recent publications analyze over 1000 fire tests to uncover spalling mechanisms, explore synthetic fire tests via GANs, and benchmark automated ML platforms. His work on causal diagrams for civil engineers and firefighter algorithms highlights contributions to both theory and practical applications. Naser also advocates for integrating AI into engineering education, emphasizing ethical and transparent model deployment.

Norma Alcantarمشاهده پروفایل

استاد

• Environmental Engineering
• Biomaterials
• Nanotechnology
• +۳ مورد دیگر

Norma Alcantar is a Professor and Associate Dean for Research at the University of South Florida (USF) College of Engineering , where she leads in the Department of Chemical, Biological and Materials Engineering . Her research focuses on Energy and Sustainability , leveraging natural materials like cactus mucilage for water purification, drug delivery, and sustainable technologies. Her scientific work spans Environmental Engineering , Biomaterials , and Nanotechnology , addressing challenges in water treatment, biomedical applications, and green manufacturing. Her recent publications highlight innovations in ammonia removal , off-flavor degradation , nano-drug delivery , and diversity initiatives in STEM . She has contributed to Sustainable Chemical Engineering Materials (SusChEM) grants and symposiums. Her research trends include bioinspired materials for pollution control, targeted therapeutics for cancer, and interfacial science applications. She utilizes cactus mucilage in water purification , oil spill response , and biomedical systems , emphasizing scalability and environmental compatibility. Her work bridges green chemistry with public health and infrastructure sustainability . Grants and collaborative efforts include NSF SusChEM funding for graded polymer membranes and interdisciplinary programs like CAI-STEM. She has no listed scientific awards in the provided text. Her email contact is norma@usf.edu, and her office is at ENC 3201 , USF.

• Materials Science
• Mechanical Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Yesim Kokner is an Adjunct Lecturer in the Department of Mechanical Engineering at The City College of New York (CCNY), part of the City University of New York (CUNY) system. Her research focuses on materials science and structural analysis, particularly in additive manufacturing and composite materials. She investigates topics such as fiber orientation effects in 3D-printed polymers and failure mechanisms in adhesively bonded joints under static loading. Dr. Kokner’s work bridges theoretical and applied mechanical engineering, emphasizing practical applications in advanced materials and manufacturing processes. Her recent publications highlight her contributions to understanding material behavior under stress and optimizing composite structures.

Irina T. Garcesمشاهده پروفایل

استادیار

• Polymer Processing
• Smart Materials
• Additive Manufacturing
• +۳ مورد دیگر

Dr. Irina T. Garces is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Carleton University. She holds a Ph.D. from the University of Alberta and specializes in composite-smart materials, additive manufacturing, and polymer processing. Her research focuses on developing 'materials as machines'—adaptive material systems for applications in soft robotics, biomedical devices, and aerospace. Key areas include shape memory polymers, electro-active composites, and novel 3D printing technologies for biodegradable materials. Her publications demonstrate consistent focus on smart material innovation, with recent work exploring moisture effects in additive manufacturing and cellulose-based medical implants.

Jasmin Grosingerمشاهده پروفایل

دانشیار

• Radio Frequency Identification
• Antenna Design
• Internet of Things
• +۲ مورد دیگر

Jasmin Grosinger is an Associate Professor at Graz University of Technology's Institute of Microwave and Photonic Engineering, specializing in wireless systems and RF engineering. Her research advances sustainable wireless technologies through innovations in energy harvesting and communication systems. Primary research areas include: Radio Frequency Identification (RFID), antenna design for IoT applications, wireless power transfer efficiency, and development of batteryless sensor systems. Recent work emphasizes miniaturization challenges in metal environments and radiation-hardened space applications. Publication analysis reveals strong focus on: impedance measurement methodologies, NFC/WPT interoperability solutions, ultra-low power circuit design, and robust wireless systems. Research consistently addresses energy efficiency in passive electronics. Awards recognize contributions to microwave theory and practical implementations: Administrative Committee Member of IEEE MTT-S, Distinguished Microwave Lecturer award, and multiple best paper contest awards. Current projects investigate electromagnetic compatibility in challenging environments and next-generation wireless standards.