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Jason ArmstrongView profile

Teaching Professor

• Mechanical Behavior of Materials
• Additive Manufacturing
• Materials Characterization
• +3 more

Jason Armstrong is a Teaching Professor in the Department of Mechanical and Aerospace Engineering at the State University of New York (SUNY) School of Engineering and Applied Sciences. He serves as Director of Undergraduate Studies for Mechanical Engineering and Director of Materials Teaching Labs. His research focuses on mechanical behavior of materials, size-dependent mechanical behavior, additive manufacturing, and materials characterization. Armstrong holds a PhD in Mechanical Engineering from the University at Buffalo (2010). Education: PhD, Mechanical Engineering, University at Buffalo, 2010 Research Interests: Dr. Armstrong’s work emphasizes sustainable materials development, particularly in additive manufacturing of bioinspired and eco-friendly composites. His research explores thermal insulation materials, nanoporous silica structures, and bio-based materials for energy efficiency applications. He investigates material behavior at micro- and nano-scales, including size-dependent mechanical properties and material characterization techniques. Recent Trends in Publications: Recent articles highlight advancements in additive manufacturing of thermal insulation composites using natural fibers like wheat straw and hemp, alongside studies on nanoporous silica and high-temperature conductive materials. His work bridges biomimicry principles with engineering applications, such as nacre-inspired multilayer composites and superinsulation foams. Armstrong’s research also addresses environmental sustainability through recycling of agricultural waste into building materials. Grants & Advising: No specific grants or advising details are listed, though his role as Director of Materials Teaching Labs suggests active involvement in student laboratory education and mentorship. Labs & Teams: Leads the Materials Teaching Labs at SUNY, focusing on hands-on experimentation in mechanical behavior, additive manufacturing, and materials characterization.

Susan PostlethwaiteView profile

Professor

• Fashion Technologies
• Robotics in Fashion Manufacturing
• Sustainable Textile Production
• +3 more

Professor Susan Postlethwaite is a Professor of Fashion Technologies and Director of the Robotics Living Lab (RoLL) at the Manchester Fashion Institute, Manchester Metropolitan University. She holds a MA Fashion Curation from London College of Fashion. Her research focuses on integrating robotics and automation into sustainable fashion manufacturing, with a particular emphasis on circular economies and workforce development. Key roles include leadership of the £3.9M AHRC-funded Robotics Living Lab, policy advisory work with the Royal Academy of Engineering, and AHRC Peer Review College membership. She contributes to international initiatives like the Coronation Challenge Think Tank and the Youth Earthshot environmental mentorship program. Recent publications address automation's role in sustainability, workforce skill development, and regional textile industry challenges. She actively advises on exhibitions such as the Future Observatory at London's Design Museum, reaching 0.5 million visitors. Her work bridges academia and industry through collaborative projects with firms like Nike, Burberry, and the Manufacturing Technology Centre.

Sandipan MishraView profile

Professor

• Systems and Control
• Autonomy
• Precision Mechatronics
• +7 more

Professor Sandipan Mishra is a faculty member at Rensselaer Polytechnic Institute (RPI), holding the position of Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering within the School of Engineering. He joined RPI in 2010 and has been affiliated with the Electrical, Computer, and Systems Engineering department. His research focuses on systems and control, learning, autonomy, and precision mechatronics, addressing challenges in advanced manufacturing, UAVs, and smart buildings. His work is supported by grants from NSF, ONR, ARL, DoE, and industry partners like General Electric and Sikorsky. Education: PhD in Mechanical Engineering from the University of California, Berkeley (2008). Awards include the NSF Early CAREER Award (2013), ASME Outstanding Young Investigator Award (2019), and multiple RPI teaching and research awards. He also serves as a Program Expert at the National Science Foundation for the CMMI division. Research emphasizes control systems integration into manufacturing processes, UAV autonomy, and smart building thermal management. His publications span over 50 journals and 150 conference papers, with recent work focusing on additive manufacturing control, autonomous systems, and human-in-the-loop optimization. Grants include collaborations with NSF, DoE, and industry on topics like laser powder bed fusion, aerial refueling, and building energy efficiency. His teaching includes courses on systems analysis, mechatronics, and advanced manufacturing systems.

• Advanced Manufacturing
• Material Design
• Nanotechnology
• +3 more

Johnson Samuel is a Professor in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). He serves as Director of the Nano/Micro-scale Manufacturing and Material Design Lab (NanoM3 Design Lab), focusing on advanced manufacturing and material design. His research is funded by NSF, NYSERDA, DOD, and industry partners. He holds a PhD from the University of Illinois Urbana-Champaign (2009), advised by Prof. Shiv Kapoor and Prof. Richard DeVor. Research interests span nanoscale manufacturing, biocompatible materials, and sustainable production systems. He develops novel composites for energy harvesting, biomedical applications, and additive manufacturing. Key innovations include graphene-enhanced cutting fluids, multi-robot WAAM systems, and bio-inspired hydrogel scaffolds. Notable achievements include the NSF CAREER Award (2014), World Economic Forum Young Scientist recognition (2016), and Rensselaer's Research Excellence Award (2016). Teaching accolades include the 2014 Class of 1951 Teaching Award and 2015 Engineering Education Innovation Award. Lab: NanoM3 Design Lab at RPI Outreach: Lego-based manufacturing education modules for K-12 students Key Sponsors: NSF, NY State Energy Research and Development Authority, DARPA, Boeing Research outputs include over 80 peer-reviewed articles and 4 patents, with work featured in journals like Advanced Materials and International Journal of Machine Tools and Manufacturing .

Jia LiuView profile

Associate Professor

• Statistical Modeling
• Machine Learning
• Additive Manufacturing
• +4 more

Jia (Peter) Liu is an Associate Professor and Ginn Faculty Achievement Fellow in the Department of Industrial and Systems Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on statistical modeling, machine learning, and optimization for advanced manufacturing systems, with an emphasis on additive manufacturing (AM) process optimization, defect detection, and smart manufacturing technologies. He leads interdisciplinary initiatives in Industry 4.0 adoption and has received significant grants from NSF, DOD, and FAA. Education: Ph.D. Industrial and Systems Engineering (Virginia Tech), dual M.S. in Statistics (Virginia Tech) and Electrical Engineering (Zhejiang University), B.S. Electrical Engineering (Zhejiang University). Research interests include physics-informed manufacturing, privacy-preserving data sharing, and AI-driven quality assurance. Notable contributions include predictive frameworks for AM fatigue life, solder joint reliability, and nanorobotics. He has pioneered digital twin ecosystems and sensor-based process monitoring systems for AM. Key awards include a $500k NSF CAREER Award for AM fatigue prediction and leadership roles in multi-million-dollar grants for smart manufacturing. His work has been featured in Auburn's initiatives to bridge high school AI education and defense electronics innovation. Grants and collaborations include leading a $500k NSF project on distributed additive manufacturing, co-directing a $7.2M DOD effort on Industry 4.0 adoption, and managing a $3M FAA grant for aerospace AM components. He advises doctoral students in reliability engineering and manufacturing systems. Liu co-founded the Interdisciplinary Center for Advanced Manufacturing Systems (ICAMS) and directs the National Center for Additive Manufacturing Excellence (NCAME). His labs focus on additive manufacturing qualification, digital twin development, and materials innovation.

• Artificial Intelligence
• Machine Learning
• Educational Technology
• +3 more

Dr. Giacomo Nalli is a Lecturer in the Department of Computer Science at Middlesex University. His research focuses on integrating Artificial Intelligence (AI) and Machine Learning (ML) into educational systems, with a particular emphasis on IoT applications, cybersecurity in educational platforms, and data-driven student performance analysis. He leads modules in computer science and contributes to innovative projects in hybrid learning environments, blockchain-based credential systems, and emotion detection through IoT devices. His work addresses both the technical and pedagogical challenges of modern education systems. Research interests include AI in education, IoT security, e-learning systems, and the ethical implications of technological integration in schools and universities. Notable contributions explore predictive models for student retention, AI-driven peer assessment tools, and blockchain solutions for digital credentials. Dr. Nalli’s publications span topics such as signature-based IoT threat detection, clustering algorithms for biometric data in VR experiences, and the use of chatbots in Moodle platforms. His work often bridges theoretical computer science with practical educational applications, aiming to enhance learning outcomes through technology. Contact details: Office T120 Town Hall Building, Hendon Campus; Email: g.nalli@mdx.ac.uk .

• Robotic Fabrication
• Computational Design
• Architectural Design
• +3 more

Associate Professor Max Maxwell is affiliated with the University of Canberra's Department of Architecture, Design & Built Environment. His research focuses on computational design, robotic fabrication, and sustainable architectural solutions. He has led projects such as 'Museum Futures: Design and Architecture' (2024-2026) and 'Workplace Plasticity' (2021), exploring net-zero office spaces and material innovation. Maxwell's work bridges technology, craft, and environmental resilience, with a strong emphasis on adaptive design and material behavior. He has been invited to speak on topics like 'Nature's Lab: New Materials in Design' (2023) and participated in exhibitions such as the NGV Architecture Commission (2024). His research interests include robotic fabrication techniques, bioclimatic housing systems, and the integration of computational tools into architectural practice. Notable outputs include studies on climate-resilient housing in Australia (2025) and material metabolism reduction strategies (2024). Maxwell collaborates extensively, co-authoring works with institutions like Supermanoeuvre and presenting at international forums. His projects often address urban challenges, such as retrofitting existing housing and reimagining public spaces through interactive installations. Maxwell's professional activities include organizing conferences, delivering invited lectures, and serving on award panels. He actively supervises PhD students in computational design and robotic fabrication, contributing to the next generation of architectural innovators.

• Sociology of Digitization
• Technology and Society
• Software Studies
• +2 more

Paula Bialski is an Associate Professor of Sociology of Digitisation at the University of St. Gallen's School of Humanities and Social Sciences. Her research focuses on the intersection of technology and society, particularly examining how digital tools mediate human interactions and organizational structures. She investigates themes including software workplace cultures, mobility technologies, and sharing economy platforms through ethnographic approaches. Her research explores Social dimensions of software development practices Technology-mediated mobility and urban experiences Sharing economy platforms and their impact on private/public boundaries Communication patterns in digital environments Ethical implications of anonymity technologies Recent publications demonstrate a consistent focus on how mundane technologies (like coffee machines) and complex systems (like mobility platforms) reshape social interactions. Her work employs ethnographic methods to unpack the cultural and organizational dimensions of technological systems across diverse contexts.

Christopher Yee WONGView profile

Assistant Professor

• Human-Robot Interaction
• Robot Kinematics
• Machine Learning
• +6 more

Dr. Christopher Yee WONG is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University, Montreal, Canada. He leads the Living with Assistive and Interactive Robots (LAIR) Lab, focusing on human-robot interaction (HRI), robot kinematics, and multimodal sensing. His research aims to develop safe and intuitive robotic systems for healthcare, retail, and manufacturing environments. He holds a Ph.D. (2017) from the University of Toronto and M.Eng. (2014) and B.Eng. (2011) from McGill University. His education includes advanced robotics training, with a Ph.D. in Robotics from the University of Toronto and a B.Eng./M.Eng. in Mechanical Engineering from McGill University. His work spans physical and social HRI, including robot-to-human grasping, sensor observability analysis, and virtual reality applications. He also focuses on ethics in robotics education and has contributed to K-12 roboethics modules. Dr. Wong’s research projects include robots in retail spaces for visually impaired users, VR environments for HRI studies, and foundational work on sensor observability metrics for robotic mechanisms. His recent publications emphasize practical applications in assistive robotics and ethical considerations in technology deployment. As an educator, he employs evidence-based teaching methods, emphasizing student engagement and problem-solving. He has taught courses at Concordia and McGill, including Dynamics, Automated Manufacturing, and Control Systems, with consistently high student ratings. His teaching philosophy prioritizes guiding students to reconstruct knowledge through active learning.

Andrew PetruskaView profile

Associate Professor

• Advanced magnetic manipulation
• Complex system modeling and design
• Dynamics and control
• +3 more

Andrew Petruska is an Associate Professor in Mechanical Engineering at the Colorado School of Mines. His research focuses on control of complex dynamic systems, particularly in magnetic manipulation for medical applications and autonomous systems for mining and underground exploration. He leads the M3 Robotics lab and holds a PhD from the University of Utah with postdoctoral training at ETH Zurich as a Max Planck Fellow. Education: BS Physics and BS/MS Mechanical Engineering from Carnegie Mellon University (pre-PhD). Notable awards include the 2017 Boettcher Investigator Award for neurosurgical magnetic manipulation work. Key technical contributions span magnetic needle steering for surgery, robotic systems for geotechnical monitoring, and gesture-controlled rehabilitation robots. His work bridges robotics, control theory, and biomedical engineering, with applications in both clinical and industrial contexts. Recent research emphasizes: Advanced magnetic manipulation techniques for precise micro-scale control Autonomous underground mining systems with real-time sensor integration Human-in-the-loop robotic rehabilitation solutions Optimization of multi-agent robotic networks for complex environments His lab develops innovative solutions for high-risk environments like mines and operating rooms through interdisciplinary approaches combining mechanical design, embedded systems, and advanced algorithms.

Yu JiaView profile

Senior Lecturer

• Energy Harvesting
• Nonlinear Dynamics
• Functional Nanomaterials
• +4 more

Dr. Yu Jia is a Senior Lecturer at Aston University's School of Engineering and Applied Science within the College of Engineering and Physical Sciences. She holds a PhD from the University of Cambridge's Nanoscience Centre (2014) and a 1st Class Honours MEng in Electromechanical Engineering from the University of Southampton (2010). Her research focuses on nonlinear micro-dynamics, functional nanomaterials, energy harvesting, and smart sensing systems. She has secured £3.8M in research funding as PI/Co-I and contributed to 61 journal articles, 55 conference papers, and 12 patents. Dr. Jia co-founded 8power Ltd, a Cambridge spin-out, and serves as a Senior Member of IEEE, Fellow of HEA, and Convenor of the Energy Harvesting Network. Research Interests: Nonlinear dynamics and stochastic resonance mechanisms Energy harvesting from vibrations, rotation, and environmental sources Smart sensors and condition monitoring systems Functional nanomaterials and composite designs Air pollution mitigation strategies Grants & Awards: £1.5M Innovate UK project on non-exhaust vehicle pollution (2020-2021) H2020-MSCA-RISE project INTAKE (€795k, 2019) Recipient of IOP Outstanding Reviewer Awards (2017-2019) Elsevier Outstanding Reviewer recognitions (2018) Professional Roles: Co-Chair, PowerMEMS 2023 Steering Committee member, PowerMEMS community Convenor of Energy Harvesting Network Reviewer for 52 journals and UKRI grants

Hyeongyun ChaView profile

Assistant Professor

• Phase Change Heat Transfer
• Micro/Nanoengineered Materials
• Interfacial Phenomena
• +5 more

Dr. Hyeongyun Cha is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo. He holds a PhD, MS, and BS in Mechanical Engineering from the University of Illinois Urbana-Champaign (UIUC). Prior to his current role, he was a postdoctoral associate at MIT's Department of Mechanical Engineering. His research focuses on interdisciplinary areas of thermo-fluid science, interfacial phenomena, machine learning, and renewable energy. Key interests include phase change heat transfer, micro/nanoengineered materials, and HVAC&R systems, with an emphasis on data-driven design. His work explores innovative surface engineering techniques for enhanced heat transfer, including hydrophobic coatings and hierarchical structures. Recent studies involve atmospheric water-harvesting devices, thermal energy storage systems, and droplet dynamics in energy conversion. Cha's contributions span experimental and computational methods, addressing challenges in sustainable energy and material innovation. His lab actively develops scalable solutions for anti-biofouling applications and energy-efficient systems. Publications highlight advancements in condensation heat transfer, droplet self-propulsion, and nanoscale surface modifications. While no scientific awards are explicitly noted, his research trajectory reflects impactful contributions to thermal engineering and materials science. Advising and grants are not detailed in the provided text, but his postdoctoral and faculty roles suggest active mentorship and funding engagement. His lab integrates cutting-edge technologies to bridge fundamental science with real-world applications in energy and environment.

Antonio LiottaView profile

Professor

• Machine Learning
• Intelligent Systems
• Internet of Things (IoT)
• +7 more

Antonio Liotta is a Tenured Full Professor at the Faculty of Engineering of the Free University of Bozen-Bolzano, Italy. His research focuses on machine learning, intelligent systems, and network science with applications to smart cities, IoT, and cyber-physical systems. He leads an international team advancing micro-edge intelligence and miniaturized ML, contributing breakthroughs in neural networks and network science intersections. Education details are not explicitly provided in the text, but his academic roles and publications suggest significant expertise in computer science and data science. Research Interests: Intelligent systems and networks Data-driven smart sensing Embedded machine learning Network science applications Human-in-the-loop systems Publications reflect a focus on ML for IoT, edge computing, and environmental modeling. Notable contributions include hybrid surrogate models for hydrological prediction and federated learning for healthcare. He serves as Editor-in-Chief for Springer's IoT book series. Grants and collaborations are implied through his leadership roles and international projects but not explicitly listed. His lab works on AI-driven solutions for urban science and resilient systems.

Mary ShermanView profile

Part-Time Lecturer

• Transdisciplinary Art Forms
• Intersection of Sensorial Processes in Making and Understanding Artworks
• World Cultures
• +3 more

Mary Sherman is a Part-Time Lecturer in Studio Art at Boston College's Morrissey College of Arts and Sciences. She holds a B.A. from Boston College and an M.F.A. from New York University. Her research focuses on transdisciplinary art forms, integrating technology with fine art to create immersive installations. Sherman is also the founder and director of TransCultural Exchange, a global non-profit organization, and has held roles such as interim Associate Director of MIT’s Art, Culture, and Technology program (ACT). Affiliations: Boston College, MIT’s ACT program, TransCultural Exchange Education: B.A. (Boston College), M.F.A. (New York University) Her work combines robotics, micro-processing, and sensory processes to transform static art into experiential performances. Notable exhibitions include shows at Schlossgartenhotel (Stuttgart, 2019), APO-33 (Nantes, 2018), and Oboro (Montreal, 2016). Sherman has received grants such as the Fulbright Specialist award and residencies in France, Greece, and Taiwan. She has also curated projects like Florian Dombois' uboc No. 1 and StuVi2 at Boston University (2013). Her awards include recognition from the National Endowment for the Arts and multiple residencies. Sherman’s publications include What if You Could Hear a Painting (MIT Press, 2016) and International Opportunities in the Arts (Vernon Press, 2019). She actively contributes to art criticism and has spoken at Harvard, MIT, and international conferences.

Erdem ErdemirView profile

Associate Professor

• Meso-scale Robotics
• Micro-scale Robotics
• Machine Learning
• +6 more

Erdem Erdemir is an Associate Professor in the Department of Computer Science at Tennessee State University , affiliated with the College of Engineering . His research bridges robotics, cognitive science, and nanotechnology with industrial R&D experience. Education : Postdoc (Vanderbilt), Ph.D. (Vanderbilt), M.Sc. (Boğaziçi), B.Sc. (Boğaziçi) Key Research Areas : Meso-scale robotics, Micro-scale robotics, Machine learning, Nanotechnology Research Interests : Dr. Erdemir investigates active locomotion for capsular robots in colorectal districts, CNT-based batteries , and nanorobots . His work combines neural architectures with developmental approaches for cognitive systems, focusing on triage assistance, gesture-sound coupling, and hybrid control systems for prosthetics. Scientific Contributions : His publications span cognitive control systems , neuromorphic architectures , imitation learning , and fuzzy-neural optimization , with collaborations at IEEE conferences and journals. Recent work explores obstacle avoidance in imitation learning and artificial muscle control . Teaching : Covers foundational and advanced topics including C/C# programming , artificial intelligence , and embedded systems .