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 Yongseok Hong's research lab specializes in environmental chemistry and biogeochemistry, focusing on the fate, transformation, and toxicity of mercury and other contaminants in aquatic and terrestrial ecosystems. The lab investigates mercury methylation, speciation, and biomagnification in food webs, particularly in coastal and estuarine environments such as Sarasota Bay and the Mekong Delta. Key research directions include the role of microbial communities in mercury cycling, the impact of geochemical conditions on metal speciation, and the development of advanced monitoring techniques for trace metals and plasticizers in sediments and water. The lab also explores innovative solutions for mercury control in industrial wastewater and air emissions, emphasizing the formation and re-emission of volatile mercury species.
Professor Baek Hwan Cho's research lab specializes in the development and application of advanced machine learning and artificial intelligence techniques in medical imaging and cognitive neuroscience. The lab focuses on leveraging deep learning, support vector machines, and novel kernel methods for accurate medical diagnosis and risk factor analysis, particularly in ophthalmology, cardiology, and musculoskeletal radiology. A key research direction involves integrating virtual reality and neurofeedback for non-invasive cognitive training and attention enhancement in adolescents. The lab also emphasizes interpretability and clinical usability of AI models through innovative visualization tools such as nomograms and localized kernel functions.
Professor Jong Hoon Ryu's research lab specializes in neuropharmacology and neuroinflammation, focusing on the therapeutic potential of natural compounds in neurological disorders. The lab investigates how bioactive phytochemicals, such as eupatilin and tanshinone I, modulate microglial activation and neuroinflammatory pathways to exert neuroprotective effects. Current research directions include elucidating the molecular mechanisms of these compounds in stroke (e.g., focal cerebral ischemia) and cognitive impairment models, particularly through modulation of intracellular signaling pathways like ERK. The lab also explores the role of microglia in neurodegenerative and neurodevelopmental conditions, aiming to develop natural product-based therapies.
Kohri教授の研究室は、宇宙初期状態における重力波や素粒子の生成メカニズムを理論的に解明することを柱としています。特に、インフレーション期に生成される重力波や、原始的曲率パワースペクトルから誘導される二次的重力波の解析に力を入れており、宇宙背景放射やパルサー計時配列（PTA）からの観測データと照らし合わせた理論的予測も行っています。また、ニュートリノ冷却や電子縮重圧力が支配的になる高密度な降着円盤の物理的性質についても、ガンマ線バーストの中心駆動機構を解明する観点から研究を進めています。
山本茂教授の研究室では、π-電子系分子の新規合成とその機能制御を柱として、三次元的なπ-共有構造を有する新規有機ナノ材料の創出をめざしています。特に、パラフェニレン環を環状に連結したシクロパラフェニレン（CPP）を効率的に合成し、フラーレンやカーボンナノチューブと相互作用するホスト-ゲスト系の構造を創出し、分子サイズや形状による選択的分離・分離技術の開発を進めています。また、金属を介した分子の自己集合的組み立てと還元的脱金属化を組み合わせた新規合成手法の開発も顕著です。
Van An Dinh教授の研究室は、ナトリウムイオン電池や固体電解質をはじめとするエネルギー貯蔵材料の原子レベルの構造・電子状態・イオン拡散メカニズムを、高精度な密度汎関数理論（特にHSE06やvdW補正を含む非経験的関数）を用いて解明しています。特に、ナトリウムイオンの拡散に伴うポラロン・ナトリウム空孔複合体の形成や、ガス分子と2次元材料（ボロフェン、グラフェン）との相互作用のメカニズムにも注力しており、環境・医療分野への応用も視野に入れた先進的で実用的志向の強い研究が特徴です。
Professor Seokhee Kim's research lab specializes in the discovery, characterization, and engineering of natural products, with a focus on ribosomally synthesized and post-translationally modified peptides (RiPPs). The lab investigates the enzymatic mechanisms underlying complex macrocyclic and biaryl linkages in natural products, particularly those catalyzed by cytochrome P450 enzymes and other tailoring enzymes. Using a combination of genomics, biochemistry, structural biology, and synthetic biology, the lab explores the biosynthesis of diverse natural products with potential therapeutic applications, including antibiotics and bioactive peptides. They also develop innovative tools for in vivo protein evolution to accelerate the discovery and optimization of novel enzymes and biomolecules.
Professor Seong-Mi Park's research lab focuses on molecular mechanisms underlying cancer progression and treatment resistance, with a central emphasis on signaling pathways involving NF-κB, p53, mTOR, and RIP1. The lab investigates how key regulatory proteins such as receptor-interacting protein 1 (RIP1) modulate tumor suppressor functions and oncogenic signaling, particularly in glioblastoma and other malignancies. Additional research explores translational control via internal ribosomal entry sites (IRES) and their role in viral and cellular gene expression. The lab also examines cardiovascular implications of molecular signaling, including arterial stiffness and endothelial dysfunction in hypertension.
Professor Jaekyeong Kim's research lab specializes in data-driven intelligent systems with a focus on natural language processing, computer vision, and machine learning applications in real-world domains such as human resource management, travel recommendation, advertising, and healthcare. The lab develops advanced recommender systems that integrate multimodal data—text, images, and facial expressions—while emphasizing semantic understanding, sentiment analysis, and user preference modeling. A key research direction involves overcoming data sparsity and improving prediction accuracy by leveraging complementary information from diverse data sources and enhancing the consistency between textual reviews and numerical ratings.
Professor Bombi Lee's research lab focuses on the neuropharmacological mechanisms underlying neuropsychiatric disorders, with a primary emphasis on neuroinflammation, neurotrophic factors, and monoaminergic systems. The lab investigates natural compounds—such as berberine, quercetin, baicalein, and acupuncture—to understand their potential in treating cognitive deficits, depression, anxiety, and stress-related disorders. Key research directions include modulating the HPA axis, cholinergic function, BDNF/CREB signaling, and pro-inflammatory cytokines in rodent models of neurodegeneration and psychiatric disease. The lab integrates behavioral tests, neurochemical analyses, and molecular biology to identify novel therapeutic targets and mechanisms.
Professor Eun-Jung Park's research lab focuses on molecular mechanisms underlying inflammatory diseases, DNA repair, and metabolic disorders, with a particular emphasis on transcriptional regulation, stem cell therapy, and natural product discovery. The lab investigates the therapeutic potential of PPAR-gamma agonists in neuroinflammation, explores adipose-derived stem cells for regenerative medicine in conditions like Parry-Romberg disease, and examines the role of chromatin structure in DNA double-strand break repair. Additionally, the lab studies bioactive compounds from medicinal plants for their antioxidant and cytoprotective properties, and evaluates probiotics in non-alcoholic fatty liver disease. These interdisciplinary efforts integrate molecular biology, stem cell biology, and natural product chemistry to develop novel therapeutic strategies.
Claudio Feliciani教授の研究室では、人の行動と集団行動のメカニズムに着目し、特に歩行者の流れや避難行動のダイナミクスを実験的・モデル的アプローチで解明しています。特に、双方向歩行における自発的レーン形成や、避難時における障害物の効果、非信号交差点における歩行者行動のモデリングが主な研究テーマです。実データに基づいた統計的分析と、セルオートマトンや車両追従モデルを用いたシミュレーションを融合した研究が特徴です。
西教授の研究室は、心の健康とストレス反応のメカニズムに注目し、特に災害や出産、病気などのストレス状況下における心理的変容を、心理尺度の検証と疫学的分析を通じて解明しています。PTG（成長の兆し）やPTSD、抑うつ症状の評価基準の文化的適合性やスクリーニングの有効性について、日本における実態に即した研究を展開しています。また、ストレス反応の予測要因や、医療救護活動従事者の心理的健康維持のための支援戦略の確立にも貢献しています。
Takeshi Tsuji教授の研究室は、海洋プレート・サブダクション帯における圧力・応力状態の高解像度推定を柱としており、波形トモグラフィーと岩石物理学モデルを融合して、プレート境界付近の孔圧分布や有効応力の空間的変異を解明しています。特に、Nankai津波地震や2011年東北地方太平洋沖地震の発生メカニズムを解明するため、海底観測データやマルチコンponentオーシャンボトムセイズモメータを用いた波形解析を展開しています。また、地震後の地盤変動や熱流束の変化から、プレート境界の破壊挙動や非弾性応答の理解を進めています。
岡田洋平教授の研究室では、がん抑制遺伝子p63の異種型、特にTAp63alpha（p51B）の機能解明に注力しています。DNA損傷応答におけるタンパク質の蓄積機構や、腫瘍抑制機能との関連を細胞・分子レベルで解明しており、がん治療への応用が期待されています。また、神経内分泌系におけるGnRHシグナル伝達のメカニズムや、性ホルモンの下垂体への作用の種分化についても、非ヒト霊長類モデルを用いて研究を進めています。
石田直樹教授の研究室では、光誘導反応や遷移金属触媒を用いた新しいC–H活性化・官能基化反応の開発に注力しています。特に、炭素–水素結合の直接的機能化や、炭素–ハロゲン・炭素–ケイ素結合の交換反応を通じて、複雑な骨格を効率的に構築する手法の確立を目指しています。また、CO₂を用いた炭素源としての利用や、ナノ材料に応用可能な新しいボロン含有 hetero環化合物の合成も重要な研究テーマです。
Professor Hyo Suk Nam's research lab specializes in clinical and translational research focused on stroke outcomes, cardiovascular disease biomarkers, and predictive modeling. The lab investigates pathophysiological mechanisms such as trimethylamine N-oxide (TMAO) in atherosclerosis and post-stroke prognosis, integrating biomarkers with clinical data. Using advanced statistical methods like Bayesian networks, the lab develops interpretable, high-accuracy prediction models for functional outcomes and mortality after stroke, aiming to improve clinical decision-making. The research also emphasizes quality improvement in stroke care through implementation of clinical decision support systems.
Professor Sang Woo Kim's research lab specializes in intelligent fault diagnosis and condition monitoring, with a strong focus on advanced signal processing, machine learning, and deep learning techniques for industrial applications. The lab develops innovative methods for defect detection in steel surfaces using optimized lighting and filtering, diagnostic systems for lithium-ion batteries combining capacity and fault co-diagnosis, and novelty detection frameworks for soft fault identification in electrical systems. Their work bridges theoretical advancements in algorithms—such as recursive prototype reduction and analysis of convolutional neural network behavior—with practical solutions in manufacturing and energy systems.
Professor Soohee Han's research lab specializes in advanced battery management systems and intelligent estimation techniques for electrochemical energy storage systems, with a strong focus on state-of-charge (SOC) and state-of-health (SOH) estimation. The lab integrates model-based approaches with data-driven methods such as machine learning and reinforcement learning to enhance accuracy and robustness under real-world operating conditions. It also develops efficient software platforms for robotics and control systems, emphasizing real-time performance, system integration, and simulation-driven development. The lab’s work bridges theoretical modeling with practical applications in electric vehicles, energy storage, and autonomous systems.
Professor Hoon Kim's research lab specializes in the development and application of biogenic nanoparticles, particularly gold and other nanomaterials synthesized using natural extracts such as *Phyllanthus emblica*, *Diospyros kaki* (persimmon), and *Lactobacillus plantarum*. The lab focuses on exploring the anticancer, anti-inflammatory, and antioxidant properties of these nanoparticles, with an emphasis on their mechanisms in cellular models like 3T3-L1 preadipocytes and gastric cancer cells (AGS). A key research direction involves understanding the role of genetic polymorphisms—such as sFRP4 c1019G>A—in bone mineral density, particularly in postmenopausal women, linking molecular genetics with metabolic health.
