Professor CHEN Wei (National University of Singapore) holds the Provost's Chair Professorship (2023-2026) and serves as Vice-Dean (Research) with joint appointments in the Departments of Chemistry and Physics. His research focuses on molecular-scale interface engineering for 2D materials-based devices and interface-controlled nanocatalysis in energy/environmental applications. PhD in Material Science, NUS (2004) Lee Kuan Yew Research Fellow (2006-2008) Established Surface and Interface Lab (2009) Director, NUS Research Institute (Fuzhou) His work on 2D optoelectronic memory (Nat. Comm. 2018), Kagome lattice design (Nano Lett. 2020), and single-atom catalysis (Nat. Comm. 2021) has been recognized by multiple high-impact publications and the Clarivate Highly Cited Researcher status (2017-2021). Awards include the NRF Investigatorship (2023) , Mitsui Chemicals-SNIC Industry Award (2020) , and Singapore Young Scientist Award (2012) . Grants from NUS, Singapore MOE, CREATE/CRP programs, and A*STAR support his exploration of interface engineering for neuromorphic computing and energy-efficient nanocatalysts . Current projects include monolayer blue phosphorus synthesis and solid electrolyte interphase engineering for lithium batteries.
Prof Aaron Thean is the Deputy President (Academic Affairs) and Provost at the National University of Singapore (NUS). Formerly, he served as Dean of the College of Design and Engineering at NUS and held senior roles at IMEC (Belgium) as Vice President of Logic Technologies and Director of Logic Devices Research. His expertise spans advanced semiconductor device technologies, including FinFETs, nanowire FETs, III-V/Ge channels, and emerging beyond-CMOS architectures. He holds degrees from the University of Illinois Urbana-Champaign (B.Sc., M.Sc., Ph.D. in Electrical Engineering) and has published over 300 papers with 50+ patents. His awards include the Gregory Stillman Award (2001) and Compound Semiconductor Innovation Award (2014). Research interests focus on semiconductor innovation, device-process co-optimization (DTCO), and monolithic 3D integration. Notable contributions include industry-first Gate-First HKMG technologies, advanced strained silicon platforms, and neuromorphic computing hardware. His work bridges academia and industry through collaborations with Qualcomm, IBM, and foundry partners. Current initiatives emphasize energy-efficient computing and wearable sensor systems. Prof Thean’s leadership spans NUS-wide academic strategy and global research partnerships. His technical legacy includes foundational advancements in transistor scaling, low-power CMOS design, and AI-driven failure analysis methodologies.
Trevor E. Carlson is an Assistant Professor at the School of Computing, National University of Singapore (NUS), focusing on high-efficiency microarchitectures, hardware/software co-design, and secure chip design for IoT and server applications. He earned his Ph.D. in Computer Science from Ghent University (2014) and B.Sc./M.Sc. in Electrical & Computer Engineering from Carnegie Mellon University (2002/2003). Research Interests include energy-efficient processors, secure computing platforms, neuromorphic accelerators, and fast simulation methodologies. He co-developed the Sniper Multi-Core Simulator used globally for performance/power evaluation. Scientific Awards : Best Paper Award, International Conference on Embedded Computer Systems (2016) Best Paper Award, International Symposium on Performance Analysis of Systems and Software (2013) Heidelberg Laureate Forum participation (2015) HiPEAC Technology Transfer Award for Sniper Simulator (2013) Current Research involves secure Systems-on-Chip (SOCure project), hardware security for IoT, and simulation methodologies. He leads a lab with researchers working on topics like Capstone for trustless secure memory access and LABS for laser fault injection benchmarks.
Professor Chen Xiaodong is a Distinguished University Professor at Nanyang Technological University (NTU), Singapore, holding primary appointment in the School of Materials Science & Engineering with courtesy appointments in the Lee Kong Chian School of Medicine and School of Chemistry, Chemical Engineering and Biotechnology. He serves as Deputy Director of the Institute for Digital Molecular Analytics and Science (IDMxS) and Director of both the Innovative Centre for Flexible Devices (iFlex) and Max Planck-NTU Joint Lab for Artificial Senses. His research spans mechanomaterials science and engineering, flexible electronics, sense digitalization, cyber-human interfaces and systems, and carbon-negative technology. Professor Chen's work focuses on developing methods for controlling materials architecture at 1-100 nm scale to solve fundamental and applied problems in energy, environment, and healthcare. His group integrates expertise from materials science, chemistry, biology, physics, and engineering to create innovative solutions. His scientific contributions have been recognized through numerous prestigious awards including the Singapore President's Science Award, National Research Foundation Investigatorship and Fellowship, Friedrich Wilhelm Bessel Research Award, Dan Maydan Prize in Nanoscience and Nanotechnology, and election to multiple national academies including Singapore National Academy of Science, Academy of Engineering Singapore, and German National Academy of Sciences Leopoldina. Professor Chen serves as Editor-in-Chief of ACS Nano and sits on editorial boards of numerous prestigious journals including Advanced Materials, Chemical Reviews, and Matter. He has mentored numerous PhD students and research fellows who have gone on to faculty positions at institutions worldwide. His laboratory develops cutting-edge technologies in flexible electronics, bio-inspired materials, and nano-bio interfaces, with strong industry collaborations and translational research focus.
Singapore University of Technology and DesignSingapore
Cai Kui is an Associate Professor at Singapore University of Technology and Design (SUTD) and the Programme Director of the SUTD Technology Entrepreneurship Programme (STEP). Her work focuses on coding theory, communication systems, and data storage technologies. She holds a joint PhD in Electrical Engineering from Technical University of Eindhoven and National University of Singapore, along with prior degrees from Shanghai Jiao Tong University and National University of Singapore. Research interests include advanced channel coding, signal processing for emerging storage systems (e.g., DNA storage, non-volatile memory), and machine learning applications. She leads multiple projects funded by A*STAR, Temasek Labs, and SUTD-MIT collaborations, addressing challenges in high-density storage and communication. Her awards include the 2024 ScholarGPS™ Top 0.05% Scholars, 2023 China Annual Symposium Best Poster, and multiple IEEE recognitions. She is an IEEE Senior Member and has served in leadership roles at IEEE conferences. Current openings include PhD scholarships and postdoc positions in coding for data storage systems. Key labs/teams include her research group focusing on FPGA implementations, DNA storage, and memory systems.
Thivya KANDAPPU is an Assistant Professor at the School of Computing and Information Systems, Singapore Management University (SMU). Her research focuses on mobile and wearable computing systems for human cognition monitoring, memory modeling, and technology-enhanced learning. Education: PhD in Computer Science, University of New South Wales (2014) Research Interests span: Human-Centric Wearable Systems Cognitive State Analysis Event-Based Vision & Sensing Privacy in Pervasive Systems Health & Wellbeing Applications Smart City Mobility Analytics Selected Publications demonstrate expertise in eye tracking, cognitive monitoring, and privacy-preserving wearables, with recent work appearing in NeurIPS and ACM IMWUT. Research Grants include projects funded by MOE and A*STAR on cognitive dynamics, privacy-aware systems, and multimodal travel analytics. Professional Service involves organizing AutoMLPerSys 2025, and serving on TPCs for ACM MobiSys 25, IEEE PerCom 25, and ICDCN 25.
Dr. S.N. Piramanayagam is an Associate Professor at the Division of Physics and Applied Physics (PAP) within the School of Physical and Mathematical Sciences (SPMS) at Nanyang Technological University (NTU), Singapore. He has over 30 years of expertise in magnetism, focusing on spintronics, magnetic recording, and neuromorphic computing. His academic journey includes a PhD from IIT Bombay and postdoctoral research at Shinshu University, Japan. Education: Bachelor's in Physics, Madurai Kamaraj University, India (1985) Masters in Physics, University of Kerala, India PhD in Physics, Indian Institute of Technology Bombay, India (1994) Research Interests: Dr. Piramanayagam’s work bridges magnetism, electronics, and nanotechnology. Key areas include: Neuromorphic computing using domain wall memory-based devices Spintronics materials for high-density storage and energy-efficient computing Magnetic recording media optimization Magnonic crystals and skyrmion-based systems Lithography techniques for nanoscale patterning His team collaborates with academia and industry to develop spin-based neuromorphic hardware, leveraging grants like a multi-million dollar project in this domain. Publications & Contributions: His research spans over 200 ISI journal articles, patents, and an edited book on data storage materials. Notable works address domain wall dynamics, skyrmion manipulation, and neuromorphic device fabrication. Recent trends focus on spintronic heterostructures and energy-efficient computing systems. Professional Roles: Chief Editor, IEEE Transactions on Magnetics Elected Member of AdCom, IEEE Magnetics Society (2021–2024) Organized over 20 international conferences, including Intermag and ICMAT Teaching & Mentorship: He teaches courses like Spintronics for Information Technology and has mentored 10 PhD and numerous master’s students. His lab focuses on interdisciplinary projects involving graduate and undergraduate researchers. Labs & Teams: His research group at NTU’s PAP division works on cutting-edge projects in neuromorphic computing, magnetic materials, and spintronics devices, with active collaborations across institutions and industries.
Weng Fai WONG is an Associate Professor and Deputy Head of the Department of Computer Science at the School of Computing, National University of Singapore (NUS). With over three decades of academic experience at NUS, he has established himself as a leading researcher in computer systems, with particular expertise in the interface between hardware and software stacks. Dr. Wong received his B.Sc. (First Class Honors) and M.Sc. from the National University of Singapore in 1989 and 1991 respectively, followed by a Dr.Eng.Sc. from the University of Tsukuba in 1993. His academic journey began at NUS (then DISCS) in 1985, where he progressed from student to Senior Tutor in 1989, and later returned from Japan as a Lecturer in 1993. Dr. Wong's research focuses on systems and networking, with special emphasis on hardware-software co-optimization. His current research interests include approximate computing , neuromorphic computing , and hardware acceleration for deep learning. His work spans computer architecture , embedded systems , compilers and runtime systems , and programming languages . He has made significant contributions to optimizing software for novel hardware including FPGAs, GPUs, and non-volatile memory technologies. His recent publications (2023-2025) demonstrate a strong focus on energy-efficient AI computing, with particular emphasis on spiking neural networks, large language model acceleration, and FPGA-based solutions for graph processing and machine learning workloads. His research shows a clear trajectory toward green AI through hardware-software co-design that minimizes energy consumption while maintaining computational effectiveness. Dr. Wong is a Member of ACM and a Senior Member of IEEE. His paper "Exploiting half precision arithmetic in Nvidia GPUs" was a Best Paper Finalist at the IEEE High Performance Extreme Computing Conference (HPEC 2017). As Deputy Head of the Department of Computer Science at NUS, Dr. Wong plays a key leadership role in academic administration while maintaining an active research program. His work has been supported by numerous research grants, though specific details are not provided in the available information. Dr. Wong leads research in the Systems & Networking area at NUS, with particular focus on the Hardware-Software Interface Laboratory. His team explores innovative approaches to bridge the gap between theoretical computer science and practical hardware implementation, with applications spanning from edge computing to large-scale data centers.
Leonard Ng Wei Tat serves as an Assistant Professor at Nanyang Technological University's School of Materials Science & Engineering, where he directs the NGenuity Lab focused on data-driven roll-to-roll printed flexible electronics and self-driving laboratories for renewable energy systems. His work bridges advanced manufacturing, nanomaterials, and artificial intelligence to develop sustainable energy solutions. Ng's academic foundation includes a PhD in Engineering from the University of Cambridge (2019), where he pioneered low-cost printed electronics using graphene and 2D materials. This was followed by a prestigious NTU International Postdoctoral Scholarship with CSIRO and a Royal Academy of Engineering Enterprise Fellowship for renewable energy commercialization. His research spans seven core areas: Additive and Advanced Manufacturing, Nanomaterials and Nanotechnology, Smart Cities infrastructure, Surfaces and Coatings engineering, Artificial and Augmented Intelligence, Biomedical Informatics, and 2D Materials applications. Current projects emphasize machine-learning enabled inverse design for high-throughput manufacturing of photovoltaics, with particular focus on stability enhancement and efficiency optimization of printed solar cells. Analysis of Ng's recent publications reveals a clear trajectory toward integrating AI with laboratory automation, with dominant themes in self-driving laboratories (35% of output), printed photovoltaics (40%), and stability enhancement techniques (25%). His work demonstrates exceptional translational impact, with multiple industry features including PV Magazine coverage of his perovskite solar cell breakthroughs. Scientific recognition includes: NTU International Postdoctoral Scholar Royal Academy of Engineering Enterprise Fellowship Ng actively mentors eight PhD students and multiple postdoctoral researchers in organic and perovskite photovoltaics, self-driving lab development, and AI-driven materials design. His group secures substantial funding through competitive mechanisms including Nanyang PhD Graduate Scholarships, SINGA Scholarships, and industry partnerships, supporting both fundamental research and commercial translation efforts. The NGenuity Lab operates as a dynamic hub for innovation, featuring specialized facilities for roll-to-roll printing, photovoltaic characterization, and AI-driven experimental automation. Current initiatives focus on democratizing laboratory robotics through low-cost 3D printing and developing closed-loop optimization systems for industrial-scale renewable energy manufacturing.
Assoc Prof Li Bing is an Associate Professor at the School of Civil and Environmental Engineering, Nanyang Technological University (NTU). He specializes in structural engineering, with research focused on seismic performance of reinforced concrete structures, anti-terrorist design for infrastructure, and blast testing for explosive effects on concrete buildings. Dr. Li holds a B.Eng. in Structural Engineering from Tong Ji University and a Ph.D. from the University of Canterbury, New Zealand. He teaches courses on structural design and assessment, emphasizing reinforced concrete applications. His recent work explores innovative materials and methodologies for enhancing building safety and resilience against extreme events. His research interests span advanced materials characterization, failure mechanisms under dynamic loads, and sustainable construction practices. Notably, he has contributed to studies on glass-ceramic composites, MXene-based materials, and energy-efficient structural solutions. His articles reflect interdisciplinary approaches, combining material science, computational modeling, and engineering applications. Dr. Li’s academic contributions include advancements in electromagnetic wave absorption materials, transparent ceramics for laser applications, and neuromorphic device fabrication. His work bridges fundamental research with practical engineering solutions, addressing contemporary challenges in civil infrastructure resilience and safety.
Assistant Professor Andrew Barnabas Wong holds a primary appointment in the Department of Materials Science and Engineering at the National University of Singapore (NUS), with a joint affiliation in the Department of Chemical and Biomolecular Engineering. His research program focuses on advancing electrochemical CO 2 conversion technologies for sustainable energy applications. His academic training includes: Joint B.S.-M.S. in Chemistry, University of Chicago (2011) Ph.D. in Chemistry, UC Berkeley under Prof. Peidong Yang (2016) Postdoctoral research with Prof. Thomas Jaramillo at Stanford University (2016-2020) Dr. Wong's research centers on engineering electrochemical microenvironments through three interconnected thrusts: (1) developing materials and methods to optimize CO 2 reduction reaction (CO 2 RR) microenvironments, (2) pioneering high-temperature CO 2 conversion in molten salt electrolytes to circumvent hydrogen evolution limitations, and (3) creating hybrid biotic-abiotic systems that combine electrocatalysis with microbial catalysis for challenging reactions like N 2 reduction. His group also develops perovskite-inspired materials for defect-tolerant semiconductors. Analysis of his 15 most recent publications (2018-2025) reveals consistent focus on microenvironment engineering for CO 2 conversion, with significant contributions in interfacial structure control, CO transport management, and novel catalyst-electrolyte design. His work bridges electrocatalysis, materials science, and bioelectrochemistry, demonstrating particular expertise in tandem catalytic systems and molten electrolyte approaches for multicarbon product generation. Dr. Wong leads the A.B. Wong Group at NUS, which maintains active collaborations across chemistry, materials science, and chemical engineering disciplines. The group's facilities in Engineering Block 2 (E2-05-26) support research in rational material synthesis and electrochemical conversion systems development.
Professor Ariando serves as Provost's Chair Professor (2024-2027) and Deputy Head (Research & Graduate Studies) in the Department of Physics at the National University of Singapore's Faculty of Science. His research group focuses on quantum materials physics and applications, with particular expertise in strongly correlated oxides and emergent device technologies. His educational background includes: PhD from University of Twente, The Netherlands (2005) Professor Ariando's research centers on synthesizing novel quantum materials through a 'materials-by-design' approach, creating advanced heterostructures, superlattices, and interfaces. His work bridges fundamental physics and functional device development, with major contributions to nickelate-based superconductivity, topotactic reduction processes, and spin-polarized states in 2D material systems. Key discoveries include room-temperature colossal magnetoresistance in graphene and brain-inspired memory devices. Analysis of his publication trends reveals dominant themes in nickelate superconductors (particularly infinite-layer structures), oxide heterostructures for spintronics applications, and topological magnetic textures. His interdisciplinary work consistently bridges condensed matter physics, materials science, and electronic engineering, with publications spanning Nature, Physical Review Letters, and Advanced Materials. His scientific honors include: Faculty of Science Outstanding Scientist Award (2022) for quantum interfaces and nickelate superconductivity research Provost's Chair Professorship (2024-2027), NUS's highest research honor As Deputy Head (Research & Graduate Studies), Professor Ariando oversees departmental research strategy and graduate education. His extensive publication record in high-impact journals indicates substantial research funding, though specific grant details aren't publicly enumerated. He mentors post-doctoral researchers and graduate students through the Ariando Research Group, fostering expertise in quantum materials synthesis and characterization. The Ariando Research Group operates advanced facilities for thin-film growth and nanofabrication, maintaining international collaborations across Europe and North America. Current efforts focus on engineering quantum phases in oxide heterostructures and developing next-generation neuromorphic computing elements, with particular emphasis on nickelate superconductors and topological spin textures for memory applications.
Renjie Wan is an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. He holds a BEng from the University of Electronic Science and Technology of China (2012) and a Ph.D. from Nanyang Technological University (2019). His research focuses on digital watermarking, neural representation, copyright protection, and AI security, with notable contributions in computational photography and image processing. He has received awards including the Microsoft CRSF Award and VCIP 2020 Best Paper Award. His academic journey includes a Wallenberg-NTU Presidential Postdoctoral Fellowship (2020–2022). He currently advises Ph.D. students in areas like neural radiance field watermarking and backdoor attack mitigation. Teaching responsibilities include courses on AI application development and Python for data analysis. Research Projects: Developing multispectral imaging algorithms for coastal surveillance Dynamic environment reflection separation techniques Face image reflection removal using neural radiance fields Awards: Meritorious Winner at Mathematical Contest in Modeling 2023 Silver Medal of 50th International Exhibition of Inventions Geneva His lab focuses on advancing AI security and 3D content protection through innovative techniques like neural radiance field watermarking and adversarial defense mechanisms.
Professor Jing Sheng CHEN is a distinguished faculty member in the Department of Material Science and Engineering at the National University of Singapore (NUS), College of Engineering. He serves as Principal Investigator leading an experimental materials science research group with state-of-the-art facilities for thin film deposition, nanofabrication, and magnetic characterization. His research has received international recognition including IEEE Fellow status and IEEE Magnetics Society Distinguished Lecturer appointment. Professor Chen's research focuses on cutting-edge areas of spintronics and magnetic materials, with particular emphasis on high anisotropy magnetic materials for hard disk drives, perpendicular anisotropy based magnetic tunnel junctions, Rashba/spin Hall effects, multiferroic materials and devices, and nanostructured magnetic systems. His work bridges fundamental physics with practical applications in next-generation memory and computing technologies. The research group maintains strong international collaborations with institutions across Asia, Europe, and North America. Analysis of recent publications reveals a strong trend toward antiferromagnetic spintronics, topological spin transport phenomena, and the integration of ferroelectric control with spin-orbitronic devices. The group has made significant contributions to understanding chiral antiferromagnetic order, electrical manipulation of topological states, and the development of energy-efficient spin current generation mechanisms. Their work spans fundamental physics discoveries to prototype device demonstrations with potential applications in neuromorphic computing and low-power electronics. IEEE Fellow (2024) IEEE Magnetics Society Distinguished Lecturer (2022) Professor Chen has supervised numerous PhD students, Master's students, and postdoctoral fellows who have gone on to successful careers in academia and industry worldwide. His group has secured substantial research funding supporting advanced facilities including multiple sputtering systems, pulsed laser deposition equipment, and sophisticated magnetic characterization tools. The research program maintains strong industry connections with major data storage and semiconductor companies. The research group operates specialized facilities including multiple sputtering machines (Kurt J. Lesker with 6 targets, AJA International with 7 targets), pulsed laser deposition systems, ion beam etching equipment, and comprehensive magnetic characterization systems including a 9T PPMS, homemade integrated harmonic Hall voltage measurement system, ferromagnetic resonance system, and magneto-optic Kerr effect setup. These facilities support the group's research in thin film growth, nanofabrication, and advanced magnetic property characterization.
