Dr. Qingbo Sun is a researcher at the Department of Materials Physics, Australian National University, specializing in advanced materials for energy and electronic applications. His work focuses on defect engineering, dielectric materials, and photovoltaic effects in nanocrystalline systems. Research interests include: Defect-driven local symmetry breaking Colossal dielectric permittivity Photocatalytic heterojunctions High-pressure material transformations Doping strategies in semiconductors Nonlinear electric polarization Research trends from his publications highlight innovations in TiO2-based photocatalysts, SnO2 dielectrics, and ferroelectric heterostructures. Collaborations span materials synthesis, computational modeling, and international experimental studies. His work is cited extensively in Scopus with 294 citations.
Christina Youngmi Choi is a Professor in the School of Design at the Royal College of Art (RCA), specializing in emerging technologies, healthcare, and inclusive design. She holds a BFA and MA in Industrial Design from South Korea, followed by a MSc and PhD from the Georgia Institute of Technology (Georgia Tech), where she also served as faculty, earning tenure and holding leadership roles such as Associate Chair and Director of the Graduate Program. Her research focuses on leveraging technology for assistive and inclusive design, emphasizing evidence-based and human-centered approaches. Key areas include usability assessment, assistive product design, and healthcare innovation. She has over 60 publications in journals, conferences, and books, with notable works exploring augmented reality in design and accessibility. Dr. Choi has led or contributed to significant grants, including the Rehabilitation Engineering Research Center (RERC) for Wireless Inclusive Technologies (2016–22), and the NSF-funded Feasibility and Usability Assessment of an Intraoral Inconspicuous Control Surface (2013–16). Her work spans collaborations with industry partners like LG Electronics and Jeju Airlines, addressing challenges in healthcare, education, and consumer technology. Awards: Best Paper Award at AHFE 2022 Georgia Tech Teaching Excellence Recognition (multiple years) National Science Foundation Women of Excellence Award (2016) Her advising and grants highlight interdisciplinary projects, such as integrating traditional wood joinery into CNC manufacturing and developing user-friendly medical devices. She is an editorial board member of the Journal of User Experience and peer reviewer for multiple journals and conferences. Her work also addresses privacy in health technologies and medication adherence systems, reflecting a commitment to societal impact through design.
Luca Carloni is a Professor of Computer Science and Department Chair at Columbia University's Columbia Engineering. He leads the System-Level Design Group, focusing on heterogeneous system-on-chip (SoC) architectures, networks-on-chip (NoC), and embedded systems. Carloni holds a Laurea Summa Cum Laude in Electronics Engineering from the University of Bologna and a PhD in Electrical Engineering and Computer Sciences from UC Berkeley. His work emphasizes specialized hardware design, energy-efficient computing, and FPGA-based prototyping. Research interests include system-level design methodologies for SoCs, embedded accelerators, and quantum computing hardware. He has pioneered frameworks like Embedded Scalable Platforms (ESP) and tools like MosaicSim for rapid SoC prototyping. Carloni has received numerous awards, including the NSF CAREER Award (2006), IEEE Fellow (2017), and multiple best paper awards at DATE and CloudCom conferences. He has served on editorial boards of IEEE Transactions on CAD and ACM Transactions on Embedded Computing , and chaired key conferences like EMSOFT and ESWeek. His research addresses challenges in heterogeneous architectures, power management, and the intersection of machine learning with embedded systems. Current projects explore quantum control systems, brain-computer interfaces, and energy-efficient datacenter computing.
Dr. Dongyun Nie is an Assistant Professor at Dublin City University's School of Computing. She holds a PhD in Computer Science with a specialization in Customer Relationship Management. Her core research explores customer lifetime value, forecasting, data mining, and record linkage. Her recent publications demonstrate interdisciplinary work spanning health informatics, sports analytics, and environmental data engineering. Research predominantly focuses on machine learning applications for real-world data challenges including eye-tracking systems, lifelog analytics, and public health data infrastructure. Teaching responsibilities include modules on Machine Learning (CA4109), Enterprise Systems Configuration (CA2049), and Web Design (CA106), integrating research expertise into computing education.
Laura Devendorf is an Associate Professor at the ATLAS Institute and Department of Information Science at the University of Colorado Boulder. As director of the Unstable Design Lab, she bridges human-computer interaction (HCI), computational design, and craft practices through smart textiles and collaborative innovation. BFA in Studio Art and BS in Computer Science from University of California Santa Barbara PhD in Information Science from UC Berkeley Research Interests focus on smart textiles as a medium to challenge human-machine relationships, with projects exploring: Computational design tools for weaving Gendered labor in technology Biodegradable materials for wearables Interdisciplinary collaboration with craftspeople Speculative design practices Human-fungi relationships Recent Research Trends demonstrate her leadership in: AdaCAD software for parametric weaving Desktop biofiber spinning systems Interactive hygromorphic textiles Material-led HCI frameworks Scientific Recognition : Best Pictorial Award (TEI '23) Best Paper Honorable Mention (DIS ’22) Honorable Mention (CHI EA ’20) Best Pictorial Honorable Mention (DIS ’22) Collaborations & Grants : NSF CAREER Grant (2020) for smart textiles innovation Extensive partnerships with Mirela Alistar, Kristina Andersen, and others Advancing open-source tools like AdaCAD and Desktop Bio-spinning
Dr. Yar Muhammad is a Principal Lecturer in Computer Science at the University of Hertfordshire's School of Physics, Engineering & Computer Science. His research develops Brain-Computer Interface applications using AI/ML techniques for healthcare. He holds a PhD in ICT (Tallinn University of Technology) and dual master's degrees. Research Leadership: Supervised PhD students: Nimra Memon (fault-tolerance in web services), Dmytro Zabolotnii (agent behavior prediction), Mahir Gulzar (context-aware modeling) Accepts self-funded PhD candidates in BCI/AI applications Awards: Young Investigator Award (Springer/IFMBE, 2014) Best Paper Award Runner-up (26th ISSC 2015) Professional Recognition: Fellow of Higher Education Academy IEEE Senior Member Editorial board member for multiple journals
Luis F. Ayala H. is the Department Head and William A. Fustos Family Professor in the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State University. He holds dual summa cum laude degrees in Chemical and Petroleum Engineering from Universidad de Oriente (Venezuela), and M.S. and Ph.D. degrees from Penn State. His research focuses on computational fluid dynamics modeling of multiphase flow in unconventional reservoirs, hydrocarbon thermodynamics, and reservoir simulation. Education: Ph.D. (Petroleum and Natural Gas Engineering), Penn State University M.S. (Petroleum and Natural Gas Engineering), Penn State University Petroleum Engineering Degree, summa cum laude, Universidad de Oriente Chemical Engineering Degree, summa cum laude, Universidad de Oriente Research Interests: Advanced reservoir simulation, unconventional gas reservoir analysis (shale gas, tight sands), multiphase flow in porous media, hydrocarbon thermodynamics, and lattice Boltzmann methods. His work aims to improve predictive capabilities for unconventional reservoirs through quantitative modeling of multiphase transport dynamics. Key Awards: SPE Distinguished Member (2022) Fulbright-Colciencias Innovation Award (2016-2017) Howard B. Palmer Faculty Mentor Award (2022) Wilson Award for Excellence in Teaching (2008) Grants & Advising: He has led numerous research projects funded by industry and federal agencies, advising graduate students in energy systems and reservoir engineering. His administrative roles include service as executive editor for the SPE Journal and as an Administrative Fellow at Penn State’s Office of Research. Labs & Teams: His research group collaborates on projects involving advanced simulation tools for unconventional reservoirs, with a focus on multiphase flow dynamics and thermodynamic interplay in nano-pore systems.
Abraham Silberschatz is the Sidney J. Weinberg Professor of Computer Science at Yale University. He previously served as Vice President of the Information Sciences Research Center at Bell Laboratories and held a chaired professorship at the University of Texas at Austin. His research focuses on database systems, operating systems, and network management. Silberschatz has advised over a dozen PhD students, many now in academia and industry. Education: Ph.D., Computer Science, Stony Brook University (SUNY) Research Interests: His work spans database systems, operating systems, storage systems, and network management. Notable contributions include foundational textbooks like Operating System Concepts and Database System Concepts , which have become industry standards. He has also developed innovative systems like DataPlay and contributed to projects such as NetInventory. Publications: His 15+ years of research include influential papers on database architecture, network routing, and distributed systems. Recent work explores leveraging non-volatile memory technologies in systems design. Awards: ACM Karl V. Karlstrom Outstanding Educator Award (1998) IEEE Taylor L. Booth Education Award (2002) VLDB Test of Time Award (2019) Multiple Bell Laboratories President's Awards for innovation Grants & Patents: Recipient of over two dozen grants and over four dozen patents, including foundational IP in multimedia storage and distributed systems. His team's HadoopDB project merged MapReduce and DBMS technologies. Labs/Teams: Collaborates with Prof. Robert Soulé on projects in database systems and networking, focusing on next-gen memory technologies. Active in mentoring graduate students and postdocs in their research group.
Dr. Emanuele Pelucchi is a Research Professor and Head of the Epitaxy and Physics of Nanostructures (EPN) group at Tyndall National Institute, University College Cork. His research focuses on quantum technologies, epitaxial growth (MBE/MOVPE), quantum dot physics, and photonic integration. He leads a world-class MOVPE facility, pioneering developments in site-controlled quantum dots and entangled photon emitters. Pelucchi's work has resulted in over 129 international publications with an h-index of 28 (Scholar), including contributions to Nature Photonics and NanoLetters. He has held a Science Foundation Ireland Principal Investigator grant since 2006, establishing his group at Tyndall in 2007. His expertise spans semiconductor nanostructures, including III-V materials and quantum optics. Pelucchi actively reviews for top journals and chairs international conferences, contributing to the field's academic discourse. His MOVPE laboratory is recognized as a key resource for III-V materials, serving as a secondary supplier to the UK National Centre for III-V Materials. Pelucchi's research bridges fundamental physics and applied photonics, driving advancements in quantum information processing and optoelectronic devices.
Adam Caparco is the DiPietro Assistant Professor of Chemical Engineering at Northeastern University, with a 25% joint appointment in the Department of Chemistry and Chemical Biology. He leads the Caparco Research Group, focusing on agricultural and environmental biotechnology, enzyme immobilization, and protein assemblies. His work integrates plant virology, nanotechnology, and molecular engineering to address sustainability challenges in agriculture and environmental remediation. He is a member of the Institute for Plant-Human Interface and holds affiliations with Northeastern’s College of Engineering and School of Arts and Sciences. Education: B.S. in Chemical and Biomolecular Engineering from UCLA (2015), Ph.D. from Georgia Tech (2020) under Julie Champion and Andreas Bommarius, followed by a USDA NIFA Postdoctoral Fellowship at UC San Diego under Nicole Steinmetz. His research spans plant immunoengineering, biomanufacturing in plants, and protein-based nanomaterials for bioremediation. Research Interests Plant excretion pathways for pathogen defense and environmental remediation Design of immobilized enzymes for green chemical synthesis Plant virus nanoparticles for nucleic acid delivery and immunity modulation Multifunctional protein engineering for sustainable agriculture Recent articles highlight advancements in plant virus-based delivery systems, enzyme immobilization strategies, and nano-enabled precision agriculture. Awards include the USDA NIFA Postdoctoral Fellowship. Caparco advises graduate and undergraduate researchers, including Julia Hilgemberg Merlin (PhD ChE), Olha Bereziuk (PhD CCB), and Paul Carter (PhD ChE). He collaborates widely and seeks to expand interdisciplinary research in plant biotechnology. Labs/Teams: Caparco Research Group (EXP 420 lab, EXP 530B office) and the Institute for Plant-Human Interface.
Yi Zheng is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, where he directs the Nano Energy Laboratory. He previously held positions at the University of Rhode Island before joining Northeastern in 2019. His research focuses on nanoscale thermal transport, renewable energy systems, photon-based cooling, and sustainable materials derived from biomass. Zheng serves on editorial boards for Scientific Reports and Journal of Photonics for Energy , and actively participates in conferences like ASME IMECE. He holds a PhD in Mechanical Engineering from Columbia University (2015), with earlier degrees from Columbia and Tsinghua University. Education: Ph.D., Mechanical Engineering, Columbia University (2015) M.S., Mechanical Engineering, Columbia University (2011) B.S., Mechanical Engineering, Tsinghua University (2009) Research Interests: Prof. Zheng’s work bridges nanotechnology and energy systems, emphasizing novel materials for thermal management, radiative cooling, and sustainable energy harvesting. His lab develops biomass-derived composites for solar desalination, thermophotovoltaics, and smart cooling paints. Key projects include ultra-dark solar absorbers, phase-change material-based thermal devices, and recyclable cellulose-based materials. Grants & Awards: 2024 ASME Rising Star Award 2019 NSF CAREER Award 2025 NASA Glenn Faculty Fellow 3M Non-Tenured Faculty Award (2022) Labs/Teams: The Nano Energy Laboratory at Northeastern collaborates internationally on projects like photonics-enabled biosensors and adaptive radiative cooling systems. Recent innovations include self-cleaning cellulose composites and cooling paints for urban heat reduction.
Pedro Vilaça is a **Professor and Head of the Department of Energy and Mechanical Engineering** at **Aalto University's School of Engineering**, Finland. Previously, he worked at the Instituto Superior Técnico (Técnico), University of Lisbon, Portugal (1995–2013). His research focuses on **welding technology**, **solid-state manufacturing**, **non-destructive testing (NDT)**, **hydrogen-related materials science**, and **materials safety**, with applications in energy and aeronautics sectors. He leads R&D teams and has collaborated globally, contributing to 142+ publications (h-index 32 via Scopus). **Research Interests**: Advanced welding techniques (e.g., friction stir welding), hydrogen embrittlement in steels, supercapacitor materials, and smart composites. He has pioneered methods for **zero-material-loss welding** and **self-sensing metallic materials**. **Key Projects**: Led initiatives like **THEWFuelCells** (fuel cell welding innovations) and **EARLY/Vilaca** (hydrogen damage assessment). His work aligns with **UN Sustainable Development Goals**, emphasizing renewable energy storage and industrial sustainability. **Awards**: 2011 Eng. Cruz Azevedo Award for outstanding research in Mecânica Experimental. **Collaborations**: Active in international networks, including the International Institute of Welding and European research consortia. He has organized conferences, reviewed patents, and advised doctoral students globally. **Recent Articles**: Focus on corrosion-resistant materials, piezoelectric composites, and hydrogen-induced failure in steels. His 2023–2025 work emphasizes energy storage innovations and advanced joining technologies. **Grants**: Principal investigator for projects funded by Business Finland, EU EIT, and Academy of Finland. **Labs/Teams**: Oversees Aalto’s mechanical engineering research teams and collaborates with institutions like Helmholtz-Zentrum Geesthacht.
Weiwei Lin is an Associate Professor in the Department of Civil Engineering at Aalto University, specializing in structural engineering with a focus on bridge systems, composite materials, and structural health monitoring. His research explores fatigue behavior of steel structures, seismic performance of composite systems, and innovative repair techniques. He holds a PhD from Waseda University (2012), MSc from Southeast University (2009), and BEng from Southwest Jiaotong University (2006). Key research areas include: steel-concrete composites, bridge redundancy evaluation, replaceable energy dissipaters, and AI-driven infrastructure diagnostics. Lin leads projects like CCU Structure (EU Horizon Europe) and RCF Mobility initiatives, focusing on sustainable construction and material recyclability. He has published 120+ peer-reviewed articles and secured 6 major grants. Lin has received prestigious awards including the IABMAS Young Award (2014) and Outstanding Reviewing Award (2017). His lab collaborates globally, hosting researchers from institutions like Israel Institute of Technology and Tsinghua University. Current work emphasizes crowdsourcing-based bridge monitoring and physics-guided AI frameworks for infrastructure diagnostics.
Arrvindh Shriraman is an Associate Professor and Program Director of Software Systems at Simon Fraser University's School of Computing Science in Surrey. His research focuses on energy-efficient software, multicore memory systems, and optimizing hardware/software interfaces for parallel programming. He holds a Ph.D. (2010) and M.S. (2006) in Computer Science from the University of Rochester, and a B.Eng. (2004) from the University of Madras. He teaches courses on parallel programming and energy-conscious software design. His research interests include synchronization mechanisms for domain-specific architectures, cache optimization, and FPGA-based acceleration. He has contributed to frameworks like Mu-grind for HLS-generated RTL instrumentation and TAPAS for parallel accelerator generation. Notable projects include RANGE-BLOCKS for synchronization in domain-specific systems and TapeFlow for gradient computation in neural networks. His work emphasizes real-time verification of autonomous systems and safety-critical trajectory planning for underwater vehicles. Shriraman collaborates closely with the Tangent Lab, exploring cutting-edge solutions in hardware-software co-design and embedded systems. His teaching and research bridge theoretical computer science with applied engineering challenges, addressing scalability, efficiency, and safety in modern computing systems.
Michael Stonebraker is a renowned computer scientist and Adjunct Professor of Computer Science at MIT's CSAIL. He is a pioneer in database technology, having developed foundational systems like INGRES and POSTGRES at UC Berkeley. His work spans database management, distributed systems, and data integration. He has founded multiple startups to commercialize his research and holds numerous awards, including the ACM Turing Award (2014) and IEEE John von Neumann Medal (2005). He earned his Ph.D. from the University of Michigan and undergraduate degrees from Princeton and Michigan. His research focuses on advancing database systems, operating systems, and big data analytics. Recent work includes contributions to video data management, cloud computing optimization, and data discovery systems. Education: Ph.D., Computer, Information and Control Engineering, University of Michigan (1971) M.S.E., Electrical Engineering, University of Michigan (1966) B.S.E., Electrical Engineering, Princeton University (1965) Research Interests: Database Technology, Distributed Systems, Data Integration, and Big Data Analytics. His work bridges theory and practice, emphasizing scalable architectures and real-world applications. Awards & Recognition: ACM Turing Award (2014) ACM SIGMOD Systems Award (2015) MIT Tech Review TR7 (2016) C&C Prize (2020) Grants & Labs: His research is supported by grants from NSF, DARPA, and industry collaborations. He leads MIT's efforts in database systems and is affiliated with CSAIL labs focused on data management and high-performance computing.
