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 Jae Young Jho's research lab specializes in the development and characterization of advanced polymeric materials with a focus on enhancing their mechanical, thermal, and functional properties for high-performance applications. Key research directions include the design of ion-exchange membranes for ionic polymer-metal composites (IPMCs), flame-retardant polymer composites, and proton-conducting membranes for fuel cells. The lab also explores bioactive and biodegradable polymer composites for biomedical applications, particularly in orthopedic implants, through innovative surface modification and nanofiller integration techniques. These efforts are underpinned by a strong emphasis on structure-property relationships and interfacial engineering in complex polymer systems.
Professor Kyudeok Oh's research lab specializes in the development and application of sustainable biomaterials, particularly cellulose-based nanomaterials such as cellulose nanofibrils (CNF), for advanced paper and coating technologies. The lab focuses on understanding the rheological behavior, structural formation, and functional properties of paper coatings, with an emphasis on improving printability, surface characteristics, and mechanical performance. Key research directions include the use of CNF and synthetic polymers like carboxymethyl cellulose (CMC) to control coating shrinkage, pore structure, and water retention during drying, as well as exploring novel applications such as paper-based SERS sensors. The lab also investigates the role of latex binders with tunable glass transition temperatures in shaping coating morphology and performance.
Professor Joonwon Lim's research lab specializes in the design, synthesis, and application of advanced two-dimensional and nanostructured carbon materials for next-generation energy and electronic devices. The lab focuses on atomic-level engineering of graphene and MXene-based materials, with key research directions including controlled unzipping of carbon nanotubes for customized graphene nanostructures, binder-free assembly of MXenes into functional 3D architectures, and the development of flexible, stretchable, and omnidirectionally deformable supercapacitors using rGO, CNTs, and conductive polymers. The lab also explores single-atom catalysts in graphene and field emission properties of CNT cold cathodes, aiming to advance sustainable energy conversion, wearable electronics, and high-resolution imaging technologies.
Professor Dae‐Shik Seo's research lab specializes in advanced liquid crystal materials and alignment technologies, focusing on the development of novel alignment layers and nanostructured materials for next-generation display and optoelectronic devices. The lab investigates the fundamental mechanisms of pretilt angle generation in nematic liquid crystals using various polymer and nanomaterial-based alignment films, including rubbed polyimides, carbon nanotubes, and quantum dot-doped systems. Key research directions include the microstructure-property relationships of alignment layers, solution-processable nanocomposites, and alignment control without conventional alignment layers through intrinsic molecular and nanostructural engineering. The lab also explores electrically and mechanically tunable liquid crystal systems with applications in high-performance displays and smart optical devices.
Professor Jae-Kook Cha's research lab specializes in oral implantology and regenerative dentistry, focusing on the treatment and prevention of peri-implantitis, alveolar ridge preservation, and guided bone regeneration. The lab investigates clinical and biomaterial-based strategies to enhance osseointegration, including the use of local antimicrobials like minocycline, growth factors such as BMP-2, and innovative grafting techniques. Key research directions include optimizing nonsurgical and surgical interventions for peri-implantitis, improving bone regeneration in compromised sites (e.g., posterior maxilla and sinus augmentation), and evaluating surface modifications of dental implants to enhance long-term outcomes. The lab combines clinical trials, in vitro studies, and animal models to translate findings into practical clinical applications.
Professor Sung-Bae Cho's research lab specializes in intelligent systems and machine learning, with a strong focus on deep learning, hybrid AI models, and real-world applications in energy management, fault diagnosis, and human-centered computing. The lab develops advanced neural network architectures—such as ensemble methods, autoencoders, and continuous hidden Markov models—to address complex, time-series, and high-dimensional data problems. Key research directions include automated feature learning, human-in-the-loop systems using interactive genetic algorithms, and domain adaptation for industrial applications like P2P lending and rotating machinery fault diagnosis.
Professor Seok-Jun Yoon's research lab specializes in population health metrics and disease burden analysis, with a focus on epidemiological modeling and health policy evaluation in Asian populations. The lab conducts large-scale burden of disease studies using disability-adjusted life years (DALYs) to quantify the impact of diseases such as cancer, cardiovascular, and digestive disorders. Their work emphasizes methodological innovation in disease classification, disability weighting, and epidemiological data estimation tailored to national contexts. The lab's research contributes to evidence-based public health planning and health system strengthening in South Korea and other advanced Asian countries.
Professor Heung-Il Suk's research lab specializes in computational neuroscience and biomedical signal processing, with a focus on developing advanced machine learning and probabilistic modeling techniques for brain-computer interfaces (BCIs) and neurological disorder diagnosis. The lab pioneers Bayesian and information-theoretic frameworks for spatio-spectral feature extraction in EEG data, enabling subject- and class-specific optimization of frequency bands and spatial filters. It also extends these methods to neurodegenerative diseases like Alzheimer’s and mild cognitive impairment, using multi-task learning and graph-based models to capture complex, multimodal data distributions. The lab emphasizes data-driven, interpretable, and personalized approaches to brain signal analysis and clinical phenotyping.
Professor Joongheon Kim's research lab specializes in next-generation wireless communication systems, with a focus on millimeter-wave (60 GHz) and UHF RFID technologies for high-capacity, low-latency applications. The lab explores advanced resource allocation, interference mitigation, and energy-efficient protocols in dynamic environments such as smart stadiums, vehicular networks, and environmental monitoring. It also pioneers the integration of quantum-inspired optimization and federated learning for real-time, distributed decision-making in wireless and IoT systems. The lab's work bridges theoretical innovation with practical deployment in critical infrastructure and environmental protection.
Professor Seo-Hyun Lee's research lab specializes in brain-computer interface (BCI) systems with a focus on intuitive and user-friendly communication technologies. The lab investigates imagined speech and visual imagery as neural paradigms for decoding user intent using EEG, emphasizing classification performance, cortical mapping, and individual neural variability. Current research directions include few-shot EEG learning, cross-session BCI adaptation, and real-world applications such as ambulatory EEG monitoring and speaker identification from single-channel EEG. The lab also explores the integration of BCI with emerging platforms like the metaverse to enable mind-controlled virtual interactions.
Professor Min Sup Choi's research lab specializes in the development and integration of two-dimensional (2D) materials and van der Waals heterostructures for next-generation nanoelectronics and optoelectronics. The lab focuses on innovative doping strategies, defect engineering, and interface engineering to overcome fundamental challenges such as Schottky barrier formation, Fermi-level pinning, and contact resistance in 2D semiconductor devices. Key research directions include atomic-layer control of 2D materials via selective etching and chemical doping, phase engineering in chalcogenide-based phase-change memory, and the fabrication of high-performance heterostructure devices with tailored electronic and optoelectronic properties. The lab also explores plasma-assisted surface modification to enhance metal-graphene adhesion and device stability.
Professor Sung-Phil Kim's research lab specializes in brain-computer interfaces (BCIs) and affective computing, focusing on translating neural and physiological signals into actionable commands for assistive technologies and human-computer interaction. The lab develops advanced decoding algorithms and multimodal biosignal analysis techniques to enable intuitive control of devices using neural activity (e.g., intracortical EEG) and emotional states (e.g., via EEG, EDA, PPG). Key research directions include real-time neural signal decoding for motor prosthetics, emotion recognition from neurophysiological signals, and the design of adaptive, user-centered BCI systems for real-world applications such as home automation and driving safety. The lab emphasizes clinical translation, aiming to improve quality of life for individuals with motor impairments and to enhance human-machine interaction through affective sensing.
伊曽保木晃弘教授の研究室は、生体細胞の高スループットな個別分析と精密操作を実現するため、マイクロフルイディクスと画像処理技術を融合した次世代の細胞分離・分析技術を開発しています。特に、AIを活用した画像認識型細胞ソーティング（iIACS）や、高解像度イメージングと深層学習を組み合わせた流式細胞計測（dIFC）により、単一細胞レベルでの機能解析を可能にしています。また、細胞に与える物理的ストレスを最小限に抑えるマイクロコンパートメント技術の開発も進め、真の個別細胞研究の基盤を築いています。
Hagiwara教授の研究室は、細胞内シグナル伝達の分子機構に焦点を当てており、特にMAPキナーゼ経路やcAMP/PKA経路におけるキナーゼの活性制御、ならびにスプライシングの調節機構の解明を主な研究テーマとしています。特に、TAK1やMAPKK6、SRプロテインキナーゼといったシグナル伝達分子のリン酸化制御とその機能的役割の解明が進んでいます。また、疾患関連のスプライシング異常や自己免疫疾患に関連する新規抗原の同定にも取り組んでいます。
Ajay Kumar Mishra教授の研究室は、土壌塩害の低減と持続可能な農業を実現するための先進的技術開発に注力しています。特に、ナノコンpositesを用いた土壌浄化技術や、気候変動に強い農業慣行（CA）の導入による土壌炭素固定の促進を主な研究テーマとしています。また、ユーカリを用いた炭素吸収・貯蔵メカニズムの解明や、農業生産性の向上に資する環境に配慮した技術の開発も進めています。
アンドレアス・ドイクト教授の研究室は、非平衡統計力学と情報理論の接点に立脚した、確率的・非平衡系におけるエネルギー変換と情報の関係を解明する研究を展開しています。特に、ランジュバン系における一般化された電流の上限や、エントロピー生成と揺らぎの関係を示す「熱力学的不確実性関係」の高次元化や一般化に貢献しています。また、ナノスケールの熱機関やレバテッド粒子を用いた全光的制御の熱機関の理論的設計にも取り組んでおり、効率と出力のトレードオフを解明しています。
Netrananda Sahu教授の研究室は、気候変動が農業・水資源・生態系に与える影響を、主にインドの地方的・地形的特徴を持つ地域を対象に分析しています。特に、キョウト・ボランギル・コラプット（KBK）地域やヒマーラヤ地方における降雨水準と気温の長期的変化、およびそれらが農業生産や水資源管理に与える影響を統計的手法と地理的情報を統合して研究しています。また、気候変動に伴う果樹の生育域の上昇や、小規模水力発電が河川生態系に与える影響についても包括的なアプローチをとっています。
ヘッドランド教授の研究室は、テラヘルツ波の応用を実現するための先端的で高効率なビーム制御技術に焦点を当てています。主にメタサーフェスやフォトニクスクリスタル波導、高抵抗率シリコンを用いた微細構造デバイスを駆使し、テラヘルツ領域における集光、偏光制御、多ビーム放射を実現しています。特に、モノリシック統合型波導・アンテナ・レンズの一体化プラットフォームの構築が目指されており、医療イメージングや高速無線通信への応用が期待されています。
Shih-Nan Hsiao教授の研究室は、半導体デバイスにおけるナノスケール加工技術と磁性膜の構造制御を柱とした先端材料工学を展開しています。特に、FePt合金膜の原子配列制御（L1₀相の形成）と、急速熱処理（RTA）による応力・結晶指向性制御のメカニズムを解明しており、高磁気異方性を実現するための薄膜工学的アプローチを追求しています。また、ナノエッチングプロセスにおいても、反応性イオンエッチングのメカニズム解明や、低温プラズマ下での表面導電性制御といった、次世代半導体プロセス技術の基盤を提供する研究を進めています。
Kumazaki教授の研究室では、自閉症スペクトラム症候群（ASD）を有する人々の社会的・職業的スキル向上を目的として、人間らしさを備えたロボット（アンドロイド）を用いた療法的アプローチの開発と検証を行っています。特に、就職面接のシミュレーション訓練や非言語的コミュニケーションのトレーニングを通じて、自己効力感の向上とストレス反応の軽減を実現するロボット支援介入の有効性を、臨床的・生理学的指標を用いて評価しています。技術の進化に伴い、個々の患者の好みや特性に合ったロボットデザインの最適化も重要な研究テーマです。
