Explore research labs at leading universities worldwide — research fields and key papers at a glance.
Professor Yongju Kim's research lab specializes in the design and self-assembly of functional nanostructures with a focus on toroidal and 2D chiral architectures, dynamic nanopores, and stimuli-responsive materials. The lab integrates supramolecular chemistry, materials science, and data-driven methodologies to develop advanced materials for applications in molecular recognition, chiroptical devices, and biomimetic transport systems. Key research directions include the rational construction of porous and tunable nanostructures, dynamic pore switching, and the application of machine learning to link microstructure with macroscopic properties.
Professor Mingcan Cui's research lab specializes in advanced oxidation processes for environmental remediation, focusing on the degradation of emerging contaminants such as pharmaceuticals, heavy metals, and toxic inorganics in water. The lab investigates sonochemical and persulfate-based oxidation technologies, leveraging ultrasound, ozone, and radical-based mechanisms to enhance pollutant mineralization and improve water quality. Key research directions include the activation of oxidants like peroxydisulfate and persulfate under ultrasonic irradiation, the development of sustainable sorbents from waste materials (e.g., coal mine sludge), and the optimization of reaction kinetics and mechanisms for real-world applications. The lab also emphasizes process efficiency, pH and operational parameter optimization, and the assessment of biodegradability improvement in treated wastewater.
Professor Anton Gartner's research lab focuses on the molecular mechanisms underlying DNA damage response, genome maintenance, and programmed cell death, with a particular emphasis on conserved pathways in model organisms such as *C. elegans* and *Drosophila*. The lab investigates the roles of key proteins in DNA double-strand break repair, including Holliday junction resolvases like GEN-1 and SLX-4, and explores how these pathways intersect with cell cycle control and apoptosis. A central theme is understanding the evolutionary conservation and functional diversification of p53 superfamily members in development and stress response. The lab employs forward genetics, whole-genome sequencing, and molecular cell biology to dissect mutational signatures and repair pathway specificity in response to diverse genotoxic agents.
Professor Hiroyoshi Iwata's research lab specializes in genomics-assisted plant breeding, focusing on integrating high-throughput phenotyping, advanced genomic analysis, and computational methods to accelerate crop improvement. The lab develops innovative bioinformatics tools and statistical models—such as ant colony optimization-based linkage mapping (AntMap), SNP-set association methods (e.g., RAINBOW), and machine learning for genomic prediction—to address challenges in genetic analysis, particularly in species with long generation times like fruit trees. A key emphasis is on overcoming bottlenecks in phenotyping and rare variant detection through UAV-based remote sensing and haplotype-aware GWAS. The lab also pioneers the application of ranking algorithms and kernel methods in genomic selection to enhance prediction accuracy.
Professor Yan Chong's research lab specializes in the fundamental understanding and engineering of metallic materials, with a primary focus on titanium-based alloys and their mechanical behavior. The lab investigates the effects of solute elements—particularly oxygen and aluminum—on deformation mechanisms, ductility, and strengthening, especially under extreme conditions such as cryogenic temperatures. A key research direction involves microstructural design through grain refinement and phase control to achieve exceptional strength-ductility synergy, leveraging advanced processing techniques like high-pressure torsion and controlled thermomechanical treatments. The lab also explores innovative chemical synthesis methods, such as supercritical water-based processes for high-value chemicals like caprolactam.
Professor Kyu-Hye Lee's research lab specializes in consumer behavior, digital transformation in the fashion industry, and technology adoption in retail contexts. The lab investigates how emerging technologies—such as virtual fitting, online fashion rental services, chatbots, and mobile media platforms—impact consumer decision-making, trust, and purchase intentions. Key research directions include omnichannel shopping experiences, value perception in digital services, and the role of personal involvement and information sources in online shopping behavior.
Professor Younghoon Kim's research lab specializes in the development of advanced nanomaterials for sustainable energy conversion and optoelectronic applications. The lab focuses on designing lead-free, environmentally friendly photovoltaic materials—particularly AgBiS2 and perovskite quantum dots—through innovative ligand engineering and surface chemistry. Key research directions include solution-phase ligand exchange, defect passivation, and the fabrication of ultrathin, crack-free films for high-performance solar cells and energy-harvesting devices. The lab also explores the stability and interfacial engineering of these materials under ambient conditions to enable practical, durable applications.
Professor Takashi Fukaya's research lab focuses on the molecular mechanisms underlying gene regulation during development, with a particular emphasis on transcriptional bursting and the dynamic interactions between enhancers and core promoters. The lab employs advanced live imaging and quantitative genomics to dissect how core promoter elements modulate transcriptional dynamics in vivo, especially in *Drosophila* embryos. Additional research explores auditory system pathologies, including perilymphatic fistula and drug-induced liver injury, highlighting translational studies in otology and hepatology. The integration of developmental biology with clinical findings defines the lab’s interdisciplinary approach.
Professor Gaku Fukuhara's research lab specializes in supramolecular chemistry and photochirogenesis, focusing on the design and synthesis of functional host molecules—particularly cyclodextrin- and cyclophane-based systems—capable of inducing and controlling chiral and photophysical responses. The lab investigates how external stimuli such as pressure, temperature, and solvent environment modulate conformational equilibria and excited-state properties, enabling dynamic control over optical activity and energy transfer. A key research direction involves developing smart molecular systems for applications in chiroptical sensing, stimuli-responsive materials, and enantioselective photochemistry.
Professor Yishi Zhu's research lab focuses on advancing intelligent wireless communication systems for future 6G networks, with a strong emphasis on terahertz and millimeter-wave communications, intelligent reflecting surfaces (IRS), and multi-access edge computing (MEC) in vehicular and urban environments. The lab investigates intelligent radio environments to enhance signal reliability, reduce latency, and support high-mobility applications such as autonomous driving and high-precision positioning. Key research directions include IRS-aided transmission, ultra-reliable low-latency communication (URLLC), and joint signal processing for dense, high-frequency networks.
Professor Yoshio Hisaeda's research lab specializes in the design and synthesis of functional organic and supramolecular materials with tailored optical, electronic, and stimuli-responsive properties. Key research directions include the development of metalloporphyrin- and vitamin B12-based catalysts for selective fluorination reactions, the engineering of crystalline host-guest systems for stimuli-responsive luminescence (e.g., vapochromic, piezochromic, and pressure-responsive behaviors), and the creation of chiral and multi-color luminescent architectures for advanced optoelectronic and sensing applications. The lab also explores crystal engineering strategies to achieve tunable photophysical properties through supramolecular interactions and molecular confinement effects.
Professor Björn Frank’s research lab focuses on innovation, sustainability, and consumer behavior, with a particular emphasis on how digital technologies—such as AI and live streaming—shape environmental performance, customer engagement, and organizational innovation. The lab investigates the role of knowledge sourcing, signaling mechanisms, and cultural dimensions in driving customer repurchase intent, brand perception, and sustainable product adoption. It also explores the psychological and behavioral dynamics in digital environments, including flow experiences in live streaming and classroom-based learning interventions in environmental economics.
Professor Yoshiki Iso's research lab specializes in the development and optimization of advanced luminescent materials for energy and optoelectronic applications. Key research directions include the synthesis and stabilization of perovskite nanocrystals and chalcogenide quantum dots for high-efficiency light conversion, spectral downshifting in solar cells, and transparent nanocomposite films for display and photovoltaic technologies. The lab focuses on enhancing photoluminescence quantum yields, thermal and environmental stability, and compatibility with industrial fabrication methods.
Professor Jong-Yil Chai's research lab specializes in parasitology and zoonotic helminth infections, with a primary focus on foodborne trematodes prevalent in Southeast Asia and East Asia. The lab investigates the epidemiology, diagnosis, and treatment of intestinal and liver fluke infections such as *Opisthorchis viverrini*, *Clonorchis sinensis*, and *Metagonimus yokogawai*, emphasizing their public health impact in endemic regions like Laos and Korea. Research also includes the study of intermediate hosts (snails and fish) and the evaluation of anthelmintic drugs like praziquantel and benzimidazoles in clinical and field settings.
Professor Minkyung Baek's research lab specializes in computational structural biology, focusing on developing deep learning methods to predict the three-dimensional structures of biological macromolecules and their complexes. The lab pioneers end-to-end neural network architectures—such as RoseTTAFold and its extensions (RoseTTAFoldNA, RoseTTAFold2, GalaxyHomomer)—that integrate multi-scale information from sequences, distance maps, and 3D coordinates to achieve high-accuracy protein and nucleic acid structure prediction. Their work addresses challenging problems in structural biology, including de novo modeling of protein-nucleic acid complexes, homo-oligomerization, and cryo-EM/X-ray crystallography structure solution, with applications in understanding protein function and drug discovery. The lab emphasizes both methodological innovation and practical utility, offering freely accessible web servers and confidence-aware predictions for the scientific community.
Professor Sung-Hyuk Sunwoo's research lab specializes in the development of soft, stretchable, and biocompatible electronic materials and devices for next-generation implantable and wearable bioelectronic systems. The lab focuses on designing advanced conductive nanocomposites—particularly those based on noble metal nanostructures—to achieve high electrical performance, mechanical compliance, and long-term biocompatibility for cardiac and neural interfacing. Key research directions include stretchable multichannel electrode arrays, subthreshold electrical stimulation for arrhythmia management, and tissue-like bioelectrodes that minimize mechanical and biochemical mismatch with living tissues.
Professor Thang Vu's research lab specializes in advancing 3D vision and object detection, with a strong focus on improving instance segmentation and region proposal networks. The lab develops novel deep learning architectures—such as SoftGroup and Cascade RPN—that address fundamental limitations in semantic prediction and anchor design through soft grouping, multi-stage refinement, and improved feature alignment. By emphasizing uncertainty mitigation, training-inference distribution consistency, and contextual feature learning, the lab aims to enhance both accuracy and scalability in 3D perception systems. Their work bridges the gap between theoretical robustness and practical deployment in real-world vision applications.
Professor Minkwan Ju's research lab specializes in sustainable and high-performance construction materials, with a strong focus on innovative cementitious systems and advanced fiber-reinforced composites. The lab investigates the mechanical behavior and durability of concrete incorporating industrial by-products such as calcined clay, recycled fine aggregates, and mineral admixtures, aiming to enhance sustainability and structural performance. Additionally, the lab explores the use of non-corrosive reinforcements like GFRP and hybrid GFRP-steel bars to improve the service life and structural response of concrete structures under various loading conditions. Their work bridges materials science, structural engineering, and sustainability, with applications in infrastructure and nuclear power plant maintenance.
Professor Priyan Malarvizhi Kumar's research lab specializes in intelligent systems and emerging technologies, with a strong focus on secure and efficient data management in dynamic environments. The lab explores intrusion detection in mobile ad hoc networks using fuzzy logic, develops advanced analytics for heterogeneous healthcare data streams in IoT-enabled systems, and investigates optimization techniques for cloud-IoT integration in healthcare. Additionally, the lab contributes to smart transportation systems through innovative solutions like automated license plate recognition tailored for regional contexts. These efforts reflect a multidisciplinary approach combining cybersecurity, big data analytics, and intelligent computing for real-world applications in healthcare and smart infrastructure.
Professor Kenji Karako's research lab focuses on the intersection of public health, epidemiological modeling, and advanced data science, particularly in the context of pandemic response and healthcare innovation in Japan. The lab specializes in developing stochastic transmission models to simulate and predict the spread of infectious diseases like COVID-19, while also exploring the impact of behavioral responses such as avoiding crowded areas. Additionally, the lab investigates the application of machine learning and neural networks in medical diagnostics and decision support systems, aiming to enhance healthcare access—especially in rural and aging populations—through technologies like 5G-enabled remote diagnosis. The research integrates computational modeling with real-world public health policy to support evidence-based interventions.
