Keun-Sik Park
Hanyang University · Engineering
About the Lab
Professor Keun-Sik Park's research lab specializes in sustainable systems and intelligent technologies, focusing on the integration of advanced data analytics, digital transformation, and environmental sustainability across maritime logistics, healthcare diagnostics, and agricultural supply chains. The lab emphasizes machine learning applications in ship energy efficiency, innovative enzymatic assays for clinical biomarkers, and digital innovation for green port and cold chain operations. Research directions span sustainable supply chain management, system dynamics modeling, and the development of sensitive biochemical methods for medical diagnostics.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have mostly employed vessels’ technical parameters to establish machine-learning algorithms. To bridge this research gap and enable wider applications, this paper presents the design of a multilayer perceptron artificial neural network (MLP ANN) as a
OBJECTIVE: To investigate whether erythrocyte creatine can serve as a corrective index for HbA1c in patients with a shortened mean age of erythrocytes. RESEARCH DESIGN AND METHODS: HbA1c and creatine in density-fractionated erythrocytes from 18 normal subjects were measured. HbA1c and erythrocyte creatine in the whole blood of 43 patients with liver cirrhosis (LC), 14 patients with hemolytic anemia (HA), 38 other patients with high reticulocyte counts (HRC) (>2.2%), and 59 normal subjects were a
Ports are the main arteries of global trade, handling goods circulation and serving as hubs for information, capital, and technology. Integrating digital technology has become the key for green port development to achieve resource efficiency and ecological balance. The current literature overlooks how digital technology can facilitate greener port operations. This study integrates sustainable supply chain management and system dynamics theories based on an in-depth analysis of existing research
Abstract With serious environmental, cost, and social concerns arising from emerging countries' rapid growth in agricultural food cold chain (AFCC), AFCC firms urgently require a set of comprehensive sustainable strategic solutions. Therefore, this research identified and modeled the critical success factors (CSFs) that support the sustainable development of AFCCs. The study integrated institutional theory, stakeholder theory, and the triple bottom line model; it also surveyed cold chain experts
Strengthening sale and purchase (S&P) capacity has become a fundamental requirement for sustainable growth and corporate competitiveness in the modern shipping market. However, there is a lack of research related to S&P and its priority when shipping companies attempt to implement ship acquisition through S&P activities. To fill this gap, this paper conducts an empirical analysis to analyze priority factors during the acquisition of second-hand ships from the perspective of shipping
We developed a new, highly sensitive enzymatic method for quantifying creatine in erythrocytes, which comprises creatine amidinohydrolase, sarcosine oxidase, and peroxidase. In the present method, an N-methylcarbamoyl derivative of methylene blue, 10-N-methylcarbamoyl-3,7-bis(dimethylamino)phenothiazine (MCDP), was used as a sensitive chromogenic compound. Potassium ferrocyanide was used to prevent nonspecific oxidation of MCDP. The enzymatic method exhibited good analytical performance: precisi
Predicting and optimizing ship fuel use is a crucial technology for lowering greenhouse gas emissions. Unfortunately, existing research is rarely capable of developing fuel consumption forecasts and optimization models for a particular transport system. This study develops a fuel consumption prediction model based on machine learning and a fuel consumption optimization model based on particle swarm optimization for ships. We studied nearly ten years of big data from a large Korean pure car and t
BACKGROUND: In 1975, Dixson reported that anti-platelet IgG on platelets from patients with idiopathic thrombocytopenic purpura (ITP) is greater than in normal people, by determining anti-platelet antibodies directly on the platelet surface with a quantitative complement lysis-inhibition-assay. Since then, platelet-associated IgG (PAIgG) has been thought of as evidence of ITP. Although platelets from ITP patients show significantly higher PAIgG values than from normal control individuals, PAIgG
A 48-year-old man in blastic crisis of chronic myelocytic leukemia received a transplant of allogeneic peripheral blood stem cells. The donor was his HLA-identical sister, who refused to donate bone marrow cells, but agreed to donate peripheral blood stem cells. The patient received standard transplant conditioning with cyclophosphamide (120 mg/kg) and busulfan (16 mg/kg). Peripheral blood stem cells were mobilized with granulocyte colony stimulating factor and collected by apheresis. After tran
In recent years, a trend has been noted for increasing numbers of myopia cases found globally, which could potentially be indicative of a bigger problem. However, the cause of this trend remains unknown and in addition, we have yet to be able to establish a reliable method for preventing the onset of myopia. Furthermore, previous myopia studies have not paid adequate attention to hyperopia. That is to say, it has been suggested that the development of refraction in infancy and the onset of myopi
In order to improve the satisfaction of online retail consumers and explore the process of forming consumer loyalty during the COVID-19 pandemic, this research combines the theories of perceived value and affect-as-information, taking cold chain logistics services (PDS) as an example to discuss the influence of PDS quality (PDSQ) of online retail cold chain on consumers' psychological emotion (satisfaction and psychological distress), attitude, and behaviour (loyalty). We collected 350 valid res
In recent years, suppliers’ sustainability has been the primary source of conflict in multinational supply chains. How suppliers from developing nations may accomplish sustainable development and competitive advantage goals has become a tough issue inside the multinational supply chain, particularly in the agri-food cold chain. Using an integrated theory-based perspective, this paper analyzes how sustainable logistics service providers’ supply chain cooperation (MSCC) might drive the sustainable
Research Areas
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