جست‌وجوی استاد و پژوهشگر

Giovanni Gómez Grasمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Applied Mechanics
• Material Science
• +۴ مورد دیگر

Giovanni Gómez Gras is an Associate Professor at the Department of Industrial Engineering of the IQS School of Engineering, Ramon Llull University. His research focuses on Additive Manufacturing (AM), Applied Mechanics, and advanced material processing techniques. He leads and collaborates on projects such as GRIM (gyroid-type cellular metallic microstructures), GAM (Applied Mechanics and Advanced Manufacturing), and solutions for Selective Laser Sintering (SLS) powder bed technology. His work emphasizes optimizing mechanical performance, surface finishing, and material properties of AM components through methods like ball burnishing and post-processing techniques. Research interests include polymeric and metallic AM materials, fatigue analysis, triply periodic minimal surface (TPMS) structures, and process parameter optimization. He has secured funding from agencies like Agencia Estatal de Investigación and AGAUR, focusing on high-value structural components and biomedical applications. His projects address challenges in mechanical performance, dimensional accuracy, and industrial scalability of AM technologies. Collaborations span material science, mechanical engineering, and biomedical fields. Current research trends highlight the integration of advanced post-processing methods (e.g., burnishing) to enhance surface properties and mechanical durability of components produced via fused filament fabrication (FFF) and other AM processes.

Edward Cyrمشاهده پروفایل

استادیار

• Additive Manufacturing
• Computational Mechanics
• Materials Science
• +۷ مورد دیگر

Dr. Edward Cyr is an Assistant Professor - Teaching Stream in the Department of Mechanical and Aerospace Engineering at Carleton University. He holds a BASc and PhD from the University of Waterloo, with postdoctoral research at the University of New Brunswick as a McCain Postdoctoral Fellow in Innovation. His research focuses on additive manufacturing techniques for aerospace and marine industries, computational modeling of additively manufactured metals, and plasticity of aluminum alloys. He has directed programs at the Marine Additive Manufacturing Centre of Excellence and has expertise in computational mechanics, including parallel computation and microstructure modeling. Dr. Cyr is also passionate about teaching, having taught courses like Engineering Mechanics and Numerical Methods, and has been recognized for his teaching excellence. He currently teaches at Carleton, emphasizing engineering design and finite element analysis. Education: BASc in Engineering (University of Waterloo) PhD in Mechanical and Aerospace Engineering (University of Waterloo) Research Interests: Additive manufacturing of metals and composites Computational mechanics and crystal plasticity modeling Thermo-mechanical behavior of materials Lattice structure design and optimization Aluminum alloy formability and plasticity Grants & Advising: Directed programs at the Marine Additive Manufacturing Centre of Excellence Experience in engineering outreach and teaching innovation Recipient of teaching excellence awards Labs & Collaborations: Research involved computational modeling at the Computational Mechanics Research Lab (University of Waterloo) and Marine Additive Manufacturing Centre of Excellence (University of New Brunswick).

Dianne Corsinoمشاهده پروفایل

پژوهشگر ارشد

• Flexible electronics
• Thin-film transistors
• Materials science
• +۳ مورد دیگر

Dianne Corsino is a Postdoctoral Research Fellow in the Faculty of Science and Technology at the Free University of Bozen-Bolzano, specializing in the fabrication and characterization of flexible electronics. Her research bridges materials science and electrical engineering to develop innovative thin-film transistor technologies for next-generation wearable and transparent electronic systems. Dr. Corsino earned her academic credentials through international training, completing her Bachelor of Science in Materials Engineering from the University of the Philippines – Diliman (2016), followed by a Master of Engineering (2018) and Doctor of Engineering (2021) in Materials Science from Nara Institute of Science and Technology in Japan. Her graduate work focused on atomic layer deposition techniques for oxide semiconductor passivation and photo-assisted methods for transforming oxide semiconductors into conductors. Her research expertise centers on flexible thin-film transistors using oxide semiconductor materials, with particular emphasis on fully solution-processed fabrication techniques that eliminate expensive vacuum processing. Dr. Corsino has developed significant expertise in photo-assisted methods including UV irradiation and laser technologies, and has made notable contributions to self-aligned transistor architectures that improve high-frequency performance on transparent flexible substrates. Her work addresses critical challenges in flexible electronics including device miniaturization, mechanical stability during bending, and environmental reliability. Analysis of Dr. Corsino's publication record reveals a consistent progression from fundamental materials processing to sophisticated device integration. Her recent work demonstrates increasing innovation in transistor architecture, with multiple publications on self-aligned structures achieving channel lengths below 5μm and oscillation frequencies exceeding 100MHz. A unifying theme across her research is the development of cost-effective manufacturing approaches that maintain high device performance, particularly through solution-based processing and photo-functionalization techniques that operate at low temperatures compatible with flexible substrates. Dr. Corsino maintains active research collaborations across Europe, particularly with colleagues at the Free University of Bozen-Bolzano where she currently works, and retains connections with Japanese institutions where she completed her graduate studies. Her publication record demonstrates strong interdisciplinary work spanning materials science, electrical engineering, and nanotechnology, with frequent contributions to IEEE journals and international conferences in flexible electronics.

Yannis P. Korkolisمشاهده پروفایل

استاد

• Forming Technology
• Material Science
• Computational Mechanics
• +۲ مورد دیگر

Yannis P. Korkolis is Professor of Forming Technology and Lightweight Components at TU Dortmund University's Department of Mechanical Engineering. His research program spans forming technologies, constitutive modeling, and additive manufacturing. Core research areas: Ductile fracture and damage mechanisms Experimental and numerical methods in materials science Biomimetic design principles Material removal processes No recent publications available for thematic analysis.

• Machine Learning
• Time Series Analysis
• Generative Models
• +۶ مورد دیگر

Srinjoy Das is an Assistant Professor in Data Science at the School of Mathematical and Data Sciences, part of the Eberly College of Arts and Sciences at West Virginia University (WVU). He holds a Ph.D. and M.S. in Electrical Engineering and Statistics from the University of California, San Diego (2018), followed by postdoctoral research at UCSD’s Department of Mathematics until 2021. His research focuses on algorithms for predictive inference on time series, generative models, and efficient implementation of deep learning on edge computing devices. Education: Ph.D. in Electrical Engineering, UCSD (2018) M.S. in Statistics, UCSD (2018) Postdoctoral Researcher, UCSD Mathematics (2018–2021) Research Interests: Algorithms for real-time inference on generative neural networks Efficient implementation of deep learning on FPGAs and edge devices Time series analysis and nonparametric prediction Data-efficient learning in additive manufacturing and healthcare Recent Research Trends: His recent work emphasizes machine learning applications in manufacturing defect detection (e.g., melt pool characterization in 3D printing), geospatial analysis, and healthcare prediction systems. He also explores hybrid optimization strategies and bandwidth-efficient video processing techniques. Mentoring & Collaboration: Advised students on projects including FPGA-based neural network design (Xinyu Zhang), generative model evaluation (Ojash Neopane), and statistical inference for random fields (Ivy Zhang). Collaborates with industry partners like Qualcomm and Microsoft Research, focusing on edge computing and hardware optimization. Labs/Teams: His research group focuses on interdisciplinary projects at the intersection of data science, signal processing, and applied mathematics, with active collaborations in both academia and industry.

Bhisham Sharmaمشاهده پروفایل

دانشیار

• Acoustic Metamaterials
• Additive Manufacturing
• Elastic Wave Propagation
• +۳ مورد دیگر

Bhisham Sharma is Associate Professor of Mechanical and Aerospace Engineering at Michigan Technological University, specializing in structural acoustics and advanced materials. Holding a Ph.D. in Aeronautics and Astronautics from Purdue University, he leads research at the intersection of structural mechanics, dynamics, and acoustics to develop safer, quieter engineering structures. Research programs focus on: Acoustic metamaterials and phononic crystals Additive manufacturing of functional materials Wave propagation in complex media Multiphysics modeling of material systems His publications demonstrate consistent innovation in acoustic material design, particularly through additive manufacturing techniques. Recent work explores triply periodic minimal surface structures, sustainable nanocellulose aerogels, and bio-inspired material systems for noise control applications. Current research translates fundamental discoveries into solutions for aerospace, automotive, and energy industries.

Joe Colistraمشاهده پروفایل

استاد

• Smart Cities
• Sustainable Architecture
• 3D Printing in Construction
• +۳ مورد دیگر

Joe Colistra is a Professor of Architecture and Director of the Institute for Smart Cities at the University of Kansas. He previously chaired the Architecture Department (2019–2021) and taught at the University of Colorado Denver and the American University of Sharjah. His academic career spans over 20 years with awards like the ACSA Housing Design Education Award and a Sydney Alternative Housing Ideas Challenge win. He leads in situ Design, focusing on innovative housing and smart city technologies. Education background includes prior faculty roles at multiple institutions, emphasizing architectural education and professional practice. His research centers on smart city architecture, sustainable housing, 3D-printed construction, and modular systems. Notable projects include energy-efficient 3D-printed homes and lightweight steel modular systems. His articles explore additive manufacturing, participatory design, and smart urban infrastructure. Awards highlight his impact in housing innovation and design education. As a director, he spearheads interdisciplinary projects at the Institute for Smart Cities, integrating technology and urban resilience.

Gareth Thomsonمشاهده پروفایل

استاد

• Engineering Education
• Manufacturing Technology
• Additive Manufacturing
• +۳ مورد دیگر

Gareth Thomson is a Reader at Aston University's College of Engineering and Physical Sciences, affiliated with the School of Engineering and Applied Science. He holds roles such as Programme Director for Mechanical Engineering degrees and former Head of Group. His academic journey includes a BEng from Heriot-Watt University, MPhil from the same institution, and a PhD in Laser Materials Processing from the University of Dundee. He has extensive industry experience in automotive and manufacturing engineering. Research focuses on engineering education alignment with industry needs, non-traditional manufacturing (additive manufacturing, Industry 4.0), and smart systems. He is a National Teaching Fellow (2016) and recipient of the Best KTP Project 2023 award. Active in professional bodies, he is a Principal Fellow of HEA and Chartered Engineer (IMechE). Education: BEng (Hons) Mechanical Engineering (Heriot-Watt, 1989), MPhil (Heriot-Watt, 1992), PhD (University of Dundee, 1998) Key Roles: Programme Director (2010-2017), Head of Group (2011-2014), External Examiner for multiple universities Teaching: Modules on design, solid mechanics, and advanced FEA His research articles emphasize curriculum innovation, reflective practice in STEM, and sustainable manufacturing strategies. He collaborates internationally and leads the Smart and Sustainable Manufacturing research group at Aston.

Sean Willemsمشاهده پروفایل

استاد

• Supply Chain Analytics
• Applied Optimization
• Inventory Management
• +۲ مورد دیگر

Sean Willems holds the Haslam Chair in Supply Chain Analytics and serves as Haslam Family Faculty Fellow at the University of Tennessee, Knoxville's Haslam College of Business. His expertise encompasses applied optimization, lean operations, and supply chain analytics. Research Focus: Willems specializes in inventory optimization, supply chain configuration, demand forecasting, and analytics implementation in complex industrial settings. His work often addresses coordination challenges in multi-echelon supply networks and the impact of emerging technologies on operations strategy. Publication Trends: Recent research explores supply chain resilience in post-pandemic environments, safety stock optimization under expediting scenarios, and innovative teaching methodologies for operations management. His publications demonstrate consistent application of analytical methods to real-world industrial challenges across high-tech, manufacturing, and retail sectors. Teaching Innovation: Willems has pioneered advanced synchronous online teaching techniques, including the 'World of EdCraft' approach for operations management education. His investments in specialized home studio technology reflect a commitment to replicating classroom engagement in virtual environments. Awards: Haslam Family Faculty Fellow

Ketki Lichadeمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Process-Structure-Property Relationship
• Additive Manufacturing
• +۵ مورد دیگر

Ketki Lichade serves as an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences, where she drives innovation in advanced manufacturing methodologies with applications spanning biomedical engineering and sustainable materials development. Educational background: PhD in Mechanical and Industrial Engineering, University of Illinois at Chicago (2023) BE in Mechanical Engineering, Savitribai Phule Pune University (2016) Her research program centers on Advanced Manufacturing and Additive Manufacturing with specialized focus on process-structure-property relationships and bio-inspired design . She pioneers acoustic-assisted photopolymerization, direct ink writing, and multiscale manufacturing techniques to engineer functional materials with programmable adhesion and hierarchical structures. This work enables breakthroughs in conductive hydrogels for flexible electronics, bone-mimetic scaffolds for tissue engineering, and atmospheric water harvesting systems, fundamentally advancing the integration of materials science with precision manufacturing. Analysis of her 15 most recent publications (2021-2025) reveals dominant innovation in acoustic assembly photopolymerization for bioinspired multifunctional materials. Key trends include rapid single-layer fabrication processes, multimaterial 3D printing with spatially controlled properties, and hierarchical porous structures that replicate natural systems. These contributions bridge mechanical engineering, fluid dynamics, and biomimetics to solve critical challenges in manufacturing speed, material functionality, and sustainability. As principal investigator of the Advanced Manufacturing Lab, Dr. Lichade secures external funding for cutting-edge research in sustainable production methods and multifunctional material systems. She actively mentors graduate researchers while collaborating with industry partners to translate academic discoveries into industrial manufacturing solutions, particularly in medical device fabrication and environmental technology sectors. The Advanced Manufacturing Lab team specializes in acoustic streaming, two-photon polymerization, and electrohydrodynamic printing techniques. Current initiatives focus on developing programmable adhesion surfaces for biomedical implants, scalable water vapor harvesting systems using biomimetic composites, and AI-driven process optimization for multimaterial additive manufacturing, positioning the lab at the forefront of next-generation sustainable manufacturing research.

• Mathematical Modeling
• Photonics
• Sensor Design
• +۳ مورد دیگر

Josu Amorebieta Herrero is a Lecturer at the Department of Applied Mathematics within the Bilbao School of Engineering at the University of the Basque Country (UPV/EHU). He holds an M.Sc. (2016) and Ph.D. (2021) in Telecommunications Engineering from the same institution. His research focuses on mathematical modeling, design, fabrication, and validation of photonic sensors for industrial applications, particularly in the aeronautical sector. He is a core member of the Applied Photonics Group, contributing to cutting-edge sensor technologies for aerospace and mechanical systems. His academic background includes advanced studies in telecommunications engineering, complemented by specialized research in photonics. He has developed innovative methods for optical fiber sensor design, including angular displacement sensors, tetrafurcated sensors, and carbon-coated strain sensors. His work emphasizes practical applications in industries requiring precision monitoring, such as turbine blade clearance measurement and vibration analysis. Key research themes include sensor integration into metal parts via additive manufacturing and laser welding, theoretical sensor design frameworks, and experimental validation of multi-parameter sensing systems. His contributions span both theoretical advancements (e.g., mathematical models for sensor performance) and applied innovations (e.g., compact omnidirectional vector bending sensors). He actively participates in interdisciplinary projects, collaborating with aerospace and manufacturing industries to bridge academic research with real-world applications. His work is disseminated through peer-reviewed journals and international conferences, focusing on photonics, materials science, and engineering systems.

Ozgur Kelesمشاهده پروفایل

استادیار

• Additive Manufacturing
• Materials Discovery
• Hierarchical Materials
• +۶ مورد دیگر

Ozgur Keles is an Assistant Professor in the Department of Chemical and Materials Engineering at San José State University (SJSU), where he has worked since August 2015. He previously held a Lecturer and Senior Research Associate position at Illinois Institute of Technology from 2013 to 2015 after completing his Ph.D. in Materials Engineering at Purdue University (2013). His research focuses on developing AI-driven discovery machines for new materials, leveraging active learning and high-throughput methods to explore uncharted chemical and structural spaces. He investigates processing-structure-property-design (PSP-D) interrelationships in multi-functional materials, combining additive manufacturing with data-driven numerical approaches to control hierarchical structures from sub-nano to macro-scale. B.S. in Metallurgical and Materials Engineering from Middle East Technical University, Turkey (2005) M.S. in Metallurgical and Materials Engineering from Middle East Technical University, Turkey (2008) Ph.D. in Materials Engineering from Purdue University (2013) His research interests span artificial intelligence in materials discovery , graphene quantum dots in epoxy composites , sustainable design for smart cities , and virtual reality in engineering education . He uses molecular dynamics, finite element analysis, and vibration-assisted 3D printing to enhance mechanical reliability in composites. Recent projects include NSF CAREER grant-funded work on multi-scale mechanical behavior of quantum dot nanocomposites and an NEA grant for 3D printing cultural heritage artifacts . His publications highlight advancements in additive manufacturing , nanocomposite toughening , and machine learning for structural analysis . Notable contributions include studies on the effects of raster angle on 3D printed parts , thermal conductivity enhancement via GQDs , and stochastic fracture of porous composites . Scientific Awards: ASME Rising Star of Mechanical Engineering (2025) 2023 College of Engineering Award for Excellence in Scholarship 2019 Advisor of the Year at SJSU Keles collaborates extensively, securing grants such as the NSF MRI for a metal AM system and DOE PARC Xerox for ceramic alignment studies. His lab engages students in hands-on research, and he promotes engineering education through virtual reality modules .

Amirkianoosh Kianiمشاهده پروفایل

دانشیار

• Laser Materials Processing
• Micro/Nano Manufacturing
• Nano Energy Materials
• +۷ مورد دیگر

Dr. Amirkianoosh Kiani is an Associate Professor and Graduate Program Director in the Department of Mechanical and Manufacturing Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical & Industrial Engineering from Ryerson University, an MSc from Kiev Polytechnic Institute, and a BSc from Isfahan University of Technology. His research focuses on advanced manufacturing techniques, including laser materials processing, micro/nano manufacturing, and energy materials. Key areas include nanomaterials for energy storage (e.g., pseudocapacitors, batteries), optoelectronic materials, and tribology of graphene-enhanced lubricants. His work integrates cutting-edge laser technologies with computational methods like AI-driven parameter optimization. Dr. Kiani’s publications emphasize innovative fabrication methods (e.g., ULPING technique for nanostructured electrodes) and interdisciplinary applications in energy systems and biomedical devices. He has authored over 50 peer-reviewed articles, with recent work addressing challenges in supercapacitor degradation, electrochemical water splitting, and bioactive material synthesis. His academic leadership includes guiding the graduate program and fostering collaboration between engineering disciplines. His lab focuses on translating nanoscale innovations into real-world applications for sustainable energy and advanced materials.

Hammond Pearceمشاهده پروفایل

مدرس ارشد

• Hardware Security
• Generative AI
• LLM Verification
• +۱ مورد دیگر

Dr. Hammond Pearce is a Senior Lecturer at UNSW Sydney specializing in cybersecurity of embedded systems. His research develops AI-assisted methods for hardware security verification and adversarial attack mitigation. Research Focus: Cybersecurity of additive manufacturing, industrial control systems, and AI-generated hardware designs. Leads projects on LLM-based vulnerability detection funded by Intel and NSF. Education & Leadership: PhD from University of Auckland with NASA internship. Developed Australia's first hardware security course at Go8 university. Chartered engineer with industry experience in critical systems.

• Composite Materials
• Topology Optimization
• Additive Manufacturing
• +۳ مورد دیگر

Professor Liyong Tong is a Professor in the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney. He holds BSc and MEngSc degrees from Dalian University of Technology and a PhD from Beihang University. A Fellow of Engineers Australia (FIEAust) and Member of AIAA, his research focuses on advanced composite materials and computational optimization methods. Research Focus: Multiscale topology optimization of composite structures and metamaterials Additive manufacturing of functional composites and smart structures Machine learning applications in structural optimization Analysis and design of advanced composite materials and structures His recent publications demonstrate integration of machine learning with structural optimization, novel approaches for metamaterial design, and experimental validation of 3D-printed structures. Research trends show emphasis on computational efficiency in optimization algorithms and multifunctional material systems. Current Projects: Microcrack suppression in thermoplastic composites for cryogenic hydrogen storage (NSW Space Research Network) Mitigating micro-vibration in satellite devices using multiscale shear damping Development of novel algorithms for topology optimization of laminated composites