世界の主要大学の研究室を探索 — 研究分野と主要論文を一目で確認できます。
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.
Iwata教授の研究室は、植物の形態的特性の定量的評価と、遺伝資源の遺伝的解析を柱としています。特に、形状のデジタル化に用いる楕円フーリエ記述子（EFD）の応用や、画像解析・ドローンを活用した高スループットな形態的形質計測技術の開発が進んでいます。また、ゲノム予測や遺伝子マッピングの分野においても、アンチコロニー最適化に基づく新アルゴリズムの開発や、ハプロタイプを活用したGWAS手法の確立など、バイオインフォマティクス的手法を駆使した革新的な研究が展開されています。
Yan Chong教授の研究室では、金属材料、特にチタン合金の微細組織制御と合金設計を軸に、強度と延性の両立を実現するためのメカニズム解明と新規プロセス開発を行っています。酸素やアルミニウムなどの不純物がチタンの延性に与える影響を原子レベルで解明し、微細組織制御（例：超微粒子化、二相組織の制御）によって低温脆化を抑制する技術的戦略を提案しています。また、チタン合金の成形性向上や、ナノ構造の形成に伴う力学的挙動の変化についても、多スケールな解析を実施しています。
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.
福谷隆史教授の研究室は、発生における遺伝子発現の時空間的特異性を規定するエクストリームなスイッチング機構に注目し、エンハンサーとコアプロモーターのダイナミックな相互作用が転写ブースティングに与える影響を、ライブイメージングを用いた定量的解析によって解明しています。特に、転写ブースティングのパラメータ（発現タイミング、継続性、周波数）がコアプロモーター要素によってどのように調節されるかを、ショウジョウバエ胚発生をモデル系として解明しています。また、耳疾患や薬剤誘発性胆管消失症など、臨床的疾患のメカニズム解明にも関与しており、基礎と臨床の接点を重視した研究を展開しています。
福沼学教授の研究室は、超分子化学と物性の融合を軸に、圧力や温度といった外部刺激に応じてその光学的・キラル特性を制御可能な新規分子系の設計と機能解明を進めています。特に、サイクロファンやシクロデキストリンを基盤とした超分子系が示す動的キラリティや光誘導反応の制御に注力しており、センサー、イメージング、スマートマテリアルへの応用が目指されています。また、分子内相互作用やサブユニットの立体障害効果を精密に制御することで、反応選択性や光学活性の高効率な発現を実現する研究が展開されています。
Yishi Zhu教授の研究室は、6G時代のスマートシティと自動運転を支える次世代無線通信技術に注力しています。主に、ミリ波・テラヘルツ帯の電波特性に起因する信号の遮断や経路損失を克服するため、インテリジェントリフレクティングサーフェス（IRS）を活用したスマートな無線環境構築を研究しています。また、マルチアクセスエッジコンピューティング（MEC）と組み合わせた車両向け低遅延処理や、高精度・高同時定位技術の実現にも貢献しています。
Yoshio Hisaeda教授の研究室は、有機金属化学と機能性分子材料の設計を柱とし、特にコバルトを用いた新しい反応機構を駆使した芳香族化合物のフルオロアルキル化反応を開発しています。また、分子の精密設計に基づく光・圧力応答性材料、特にバイオミメティックなビタミンB12誘導体を用いた触媒的フッ素化反応や、多色発光・クロモイック特性を示す超分子自己組織化系の開発も進んでいます。これらの研究は、有機エレクトロニクスやセンシング材料への応用が期待される、先進的な機能性材料の創出を目指しています。
Björn Frank教授の研究室は、AIを活用した環境技術の社会的・経済的影響や、イノベーションにおける知識連携のメカニズム、顧客のリピート行動の文化的要因への応答、そしてライブストーリングにおける没入体験の促進要因を、主に信号理論やフローテオリーを基盤に、国際的・文化的な文脈を踏まえた実証的研究を展開しています。特に、環境性能の自動的向上や、個人の行動が文化的価値にどう影響を受けるかといったテーマに注力しています。
Yoshiki Iso教授の研究室では、発光特性に優れたナノ結晶材料の開発と、その応用に向けた安定化技術の研究が中心です。特にヒ素化物やバナジ酸塩系の発光ナノ粒子、およびペロブスカイト量子ドットの合成・特性制御に注力しており、太陽電池やディスプレイ応用に向けたスペクトルシフト材料の開発も進めています。また、表面修飾やマトリックス封着による光安定性向上のためのプロセス開発も重要な研究テーマです。
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.
本研究室では、感染症の流行予測と医療支援のための人工知能技術の応用を柱として研究を進めています。特に、COVID-19の感染拡大を予測する確率的伝播モデルの構築や、5Gを活用した遠隔診断システムの開発を通じて、地域医療の質的向上をめざしています。また、医療現場におけるAIの解釈可能性や、神経ネットワークを用いた診断支援技術の実用化にも注力しています。
