Seho Lee | Data Science | Best Researcher Award

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Prof. Seho Lee | Data Science | Best Researcher Award

Assistant Professor at University of Ulsan, South Korea

Dr. Seho Lee, Assistant Professor in the Department of AI Convergence, is a distinguished researcher specializing in neuroengineering, brain–computer interfaces (BCI), and clinical artificial intelligence. He earned his Ph.D. in Brain and Cognitive Engineering from Korea University, following advanced degrees in biomedical engineering and electrophysics. His research focuses on advanced neurophysiological signal analysis, AI-based clinical decision support, and predictive modeling for neurological disorders. Dr. Lee has played key roles in multiple international, grant-funded projects and has published extensively in high-impact journals, including IEEE and Frontiers in Neuroscience. Holding several patents in BCI and biomedical AI, he is also an active member of professional bodies like IEEE. With a strong commitment to innovation, interdisciplinary collaboration, and mentorship, Dr. Lee continues to advance technologies that bridge engineering and clinical applications for global impact.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile

Education

Dr. Seho Lee holds a Ph.D. in Brain and Cognitive Engineering from Korea University, where he specialized in advanced neurophysiological signal processing and AI applications in neuroscience. He earned his Master’s degree in Biomedical Engineering from Hanyang University, focusing on biomedical signal analysis and neural interface technologies. His academic journey began with a Bachelor’s degree in Electrophysics from Kwangwoon University, where he developed a strong foundation in physics and electronics. This diverse educational background has enabled Dr. Lee to integrate engineering, computer science, and neuroscience in his research. His training at leading Korean institutions provided both theoretical depth and practical expertise, positioning him to contribute meaningfully to the rapidly evolving fields of neuroengineering, artificial intelligence, and clinical technology innovation at both national and global levels.

Experience

Dr. Lee currently serves as an Assistant Professor in the Department of AI Convergence, where he leads research at the intersection of neuroscience, artificial intelligence, and clinical applications. He has been a key contributor to multiple multi-year, grant-funded projects, collaborating with hospitals, research institutes, and industry partners. His work spans developing brain–computer interface (BCI) systems, AI-powered clinical decision support tools, and predictive models for neurological disorder progression. Dr. Lee’s experience includes managing large datasets, integrating wearable and invasive neural monitoring technologies, and designing patient-centric solutions. His portfolio also features active involvement in interdisciplinary teams, student supervision, and community-driven scientific initiatives. Through his extensive project work and academic contributions, he has developed a global research perspective while ensuring his innovations address practical, real-world needs in healthcare and rehabilitation technologies.

Research Interest

Dr. Lee’s research interests focus on neuroengineering, brain–computer interfaces (BCI), clinical artificial intelligence, and neuroscience applications for patient rehabilitation. He specializes in advanced analysis of continuously measured neurophysiological signals, quantitative brain network modeling, and AI-driven diagnostic tools. His work aims to create practical solutions for individuals with neurological impairments by enhancing brain–machine communication and predictive clinical analytics. Key topics include the use of AI for clinical data interpretation, development of real-time decision support systems, and non-invasive neural stimulation methods. Dr. Lee is also deeply engaged in studying pathological progression in neurological disorders, with the goal of early intervention. His multidisciplinary approach combines engineering, cognitive science, and medicine, contributing to breakthroughs that directly improve patient quality of life and expand the capabilities of modern neurotechnology.

Award and Honor

While building his academic career, Dr. Lee has earned recognition through successful participation in competitive, nationally funded research projects and prestigious institutional appointments. His innovations in brain–computer interface technology and AI-based biomedical systems have resulted in multiple patents in Korea and the United States, marking him as a thought leader in his domain. He has been invited to present at leading IEEE conferences, demonstrating peer acknowledgment of his contributions. His publications in high-impact journals further attest to his research excellence. The combination of competitive grant awards, impactful publications, and translational research outcomes underscores Dr. Lee’s professional standing. These achievements not only highlight his expertise but also his commitment to advancing science with tangible applications, making him a strong candidate for distinguished research recognitions and honors.

Research Skill

Dr. Lee possesses a comprehensive set of research skills spanning AI model development, neurophysiological data acquisition and analysis, brain network modeling, and clinical signal interpretation. He is adept in programming, machine learning, and deep learning techniques applied to healthcare data, including EEG, EMG, and imaging modalities. His expertise extends to designing and implementing both hardware and software components for brain–computer interfaces, ensuring reliability and usability in clinical environments. Dr. Lee is skilled in statistical modeling, biomedical signal preprocessing, and data visualization for translational research. He has extensive experience collaborating across disciplines, managing international research collaborations, and guiding graduate students in advanced projects. Combined with his patent-proven innovation capabilities, these skills enable him to transform theoretical concepts into impactful neuroengineering solutions that address pressing healthcare challenges.

Publication Top Notes

  • Title: Improved prediction of bimanual movements by a two-staged (effector-then-trajectory) decoder with epidural ECoG in nonhuman primates
    Authors: H Choi, J Lee, J Park, S Lee, K Ahn, IY Kim, KM Lee, DP Jang
    Year: 2018
    Citations: 26

  • Title: Physicochemical factors that affect electroporation of lung cancer and normal cell lines
    Authors: HB Kim, S Lee, Y Shen, PD Ryu, Y Lee, JH Chung, CK Sung, KY Baik
    Year: 2019
    Citations: 24

  • Title: Effects of actin cytoskeleton disruption on electroporation in vitro
    Authors: HB Kim, S Lee, JH Chung, SN Kim, CK Sung, KY Baik
    Year: 2020
    Citations: 19

  • Title: Importance of reliable EEG data in motor imagery classification: Attention level-based approach
    Authors: S Lee, YT Kim, SO Hwang, H Kim, DJ Kim
    Year: 2020
    Citations: 7

  • Title: Long-term evaluation and feasibility study of the insulated screw electrode for ECoG recording
    Authors: H Choi, S Lee, J Lee, K Min, S Lim, J Park, K Ahn, IY Kim, KM Lee
    Year: 2018
    Citations: 6

  • Title: Decoding saccadic directions using epidural ECoG in non-human primates
    Authors: J Lee, H Choi, S Lee, BH Cho, K Ahn, IY Kim, KM Lee, DP Jang
    Year: 2017
    Citations: 6

  • Title: Reduced burden of individual calibration process in brain–computer interface by clustering the subjects based on brain activation
    Authors: YT Kim, S Lee, H Kim, SB Lee, SW Lee, DJ Kim
    Year: 2019
    Citations: 4

  • Title: Right hemisphere lateralization in neural connectivity within fronto-parietal networks in non-human primates during a visual reaching task
    Authors: J Lee, H Choi, K Min, S Lee, KH Ahn, HJ Jo, IY Kim, DP Jang, KM Lee
    Year: 2018
    Citations: 3

  • Title: Investigating the effect of mindfulness training for stress management in military training: the relationship between the autonomic nervous system and emotional regulation
    Authors: S Lee, JH Kim, H Kim, SH Kim, SS Park, CW Hong, KT Kwon, SH Lee
    Year: 2025
    Citations: 2

  • Title: Effects of altered functional connectivity on motor imagery brain–computer interfaces based on the laterality of paralysis in hemiplegia patients
    Authors: S Lee, H Kim, JB Kim, DJ Kim
    Year: 2023
    Citations: 2

  • Title: Classification of the motion artifacts in near-infrared spectroscopy based on wavelet statistical feature
    Authors: SB Lee, H Kim, S Lee, HJ Kim, SW Lee, DJ Kim
    Year: 2019
    Citations: 2

  • Title: Heart rate variability as a preictal marker for determining the laterality of seizure onset zone in frontal lobe epilepsy
    Authors: S Lee, H Kim, JH Kim, M So, JB Kim, DJ Kim
    Year: 2024

Conclusion

Dr. Seho Lee represents the next generation of innovators at the convergence of neuroscience, artificial intelligence, and clinical technology. His unique blend of academic excellence, research experience, and practical innovation has positioned him to make transformative contributions to healthcare and rehabilitation sciences. With numerous high-impact publications, patents, and international collaborations, he has demonstrated the ability to move ideas from concept to clinical reality. His work directly improves the lives of individuals with neurological disorders while advancing the scientific understanding of brain–machine interaction. As both a leader and mentor, Dr. Lee continues to inspire new research directions in neuroengineering. His commitment to interdisciplinary collaboration, societal impact, and global engagement makes him an exemplary figure deserving of recognition as a top researcher in his field.

Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

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Prof. Dr. Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

Researcher and Lecturer at Universidad de Zaragoza , Spain

Prof. Dr. Raquel Lacuesta Gilaberte 🎓, a distinguished academic from the Universidad de Zaragoza 🇪🇸, is a seasoned expert in Computer Science and Human-Computer Interaction 💻🧠. With a Ph.D. Cum Laude from the Universidad Politécnica de Valencia 🎖️, she brings over two decades of dedication to teaching, mentoring, and interdisciplinary research. Her work spans digital interaction design, intelligent systems 🤖, and healthcare technologies 🏥💡, making significant contributions to both education and applied science. As a full-time professor, she has spearheaded numerous courses in engineering, health innovation, and digital systems, inspiring future technologists and innovators. Fluent in English 🌍, she’s well-positioned for global collaboration. Her academic journey reflects a blend of visionary thinking, pedagogical depth, and technological curiosity, marking her as a dynamic force in the engineering and research ecosystem 🚀📘.

Professional Profile 

Google Scholar
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ORCID Profile

🎓 Education

Prof. Dr. Raquel Lacuesta Gilaberte holds a prestigious academic lineage rooted in technical excellence. She earned her degree in Computer Engineering from the Universidad Politécnica de Valencia 🏛️ in 1999 and went on to complete her Ph.D. in Computer Science in 2008 with the esteemed Cum Laude distinction 🏅. Her doctoral studies deepened her expertise in informatics, laying a strong foundation for a career at the nexus of innovation and systems architecture. This elite academic path reflects her unwavering commitment to scholarly rigor and intellectual development. Her comprehensive training in both theoretical and applied computing equips her to seamlessly bridge academia and real-world technology 🌐💡.

🧑‍🏫 Professional Experience

With over 15 years of academic service, Prof. Dr. Lacuesta currently serves as a Professor Titular at the Universidad de Zaragoza 👩‍🏫. Since 2018, she has dedicated herself full-time to the Department of Computer Science and Systems Engineering, shaping the minds of future engineers. Her teaching portfolio is both broad and impactful—spanning information systems, human-computer interaction, digital design, and cybersecurity 🔐. Beyond instruction, she plays a pivotal role in curriculum development for undergraduate and master’s programs. Her long-term affiliation with various innovative teaching initiatives reflects a career devoted not just to knowledge dissemination but to shaping evolving educational ecosystems 🏫🚀.

🔬 Research Interests

Prof. Dr. Lacuesta’s research navigates the confluence of technology and human experience. Her primary interests include Human-Computer Interaction (HCI) 🖥️🤝, user-centered digital design 🎨, multi-agent systems 🤖, and health-focused technology applications 🩺📲. She actively explores how emerging interfaces can enhance user accessibility and well-being, especially within medical and wellness contexts. Her work in intelligent systems and decision-support architectures positions her at the forefront of digital innovation. The interdisciplinary nature of her research enables her to address complex challenges through holistic, systems-oriented solutions. Driven by curiosity and social impact, her research continuously adapts to the dynamic needs of the digital age 🌍⚙️.

🏆 Awards and Honors

While her formal accolades were not detailed in the provided records, Prof. Dr. Lacuesta’s academic career reflects honors embedded in her roles and responsibilities. Attaining a Ph.D. with Cum Laude honors 🎖️ signals excellence at the doctoral level. Her continuous presence in postgraduate and interdisciplinary programs is itself a recognition of her expertise and reliability. Trusted to lead innovation-focused subjects in health tech and interactive systems, she enjoys peer respect and institutional recognition 🌟. Her appointment to key academic roles and her involvement in diverse teaching environments speak volumes of the esteem she commands in academic circles. Future awards will likely follow as her research visibility grows.

🔚 Conclusion

Prof. Dr. Raquel Lacuesta Gilaberte exemplifies the modern academic—technically astute, pedagogically impactful, and research-driven 💼🧠. Her journey from a top-tier engineering graduate to a full-time professor reflects perseverance, scholarly excellence, and a forward-looking mindset. With deep roots in computing and branches extending into healthcare innovation and interactive design, she stands as a beacon of interdisciplinary progress 🌱🔍. Though understated in accolades, her real reward lies in shaping students, pushing boundaries in tech-for-good, and mentoring in future-centric domains. She is unquestionably a standout candidate for recognition such as the Best Researcher Award 🏅🌟.

Publications Top Notes

Redesign and New Evaluation of a Pervasive Game for Older Adults
👥 Jesús Gallardo, Raquel Lacuesta, Silvia Ramis
📅 2024 | 📈 0 citations
📄 Conference Paper | DOI: Not provided

Exploring the Use of Voice Assistants in Nursing Homes
👥 Eva Cerezo, Raquel Lacuesta, Jesús Gallardo, Antonio Aguelo
📅 2025 | 📈 1 citation
📄 International Journal of Human–Computer Interaction
🔗 DOI: 10.1080/10447318.2025.2470282

Cooking Game: A Serious Game Using a Social Robot
👥 Joan Josep Ordoñez, Silvia Ramis, Francisco J. Perales, Jose M. Buades, Raquel Lacuesta
📅 2024 | 📈 1 citation
📄 Conference Paper
🔗 DOI: 10.1145/3657242.3658604

A New Online Tool to Evaluate Transferable Skills in the European Framework
👥 Raquel Lacuesta, G. Palacios-Navarro
📅 2024 | 📈 0 citations
📄 International Journal of Engineering Pedagogy | DOI not listed

Wearable Low-Cost and Low-Energy Consumption Gas Sensor with Machine Learning to Recognize Outdoor Areas
👥 Jianchen Wang, Lorena Parra, Raquel Lacuesta, Jaime Lloret, Pascal Lorenz
📅 2024 | 📈 0 citations
📄 IEEE Sensors Journal
🔗 DOI: 10.1109/JSEN.2024.3442874

Ubiquitous Monitoring of Liver Transplantation Patients
👥 Javier Navarro-Alamán, Raquel Lacuesta, Jose M. Jimenez, Iván García-Magariño, Trinidad Serrano
📅 2024 | 📈 1 citation
📄 International Journal of Ad Hoc and Ubiquitous Computing | DOI not listed

Evaluation of Suitability of Low-Cost Gas Sensors for Monitoring Indoor and Outdoor Urban Areas
👥 Jianchen Wang, Sandra Viciano-Tudela, Lorena Parra, Raquel Lacuesta, Jaime Lloret
📅 2023 | 📈 16 citations
📄 IEEE Sensors Journal
🔗 DOI: 10.1109/JSEN.2023.3301651

Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek
👥 Iván García-Magariño, Javier Bravo-Agapito, Raquel Lacuesta
📅 2025 | 📈 N/A
📄 AI (Open Access Journal)
🔗 DOI: 10.3390/ai6050095

Designing Pervasive Games Oriented Towards the Elderly: A Case Study
👥 Raquel Lacuesta, Jesús Gallardo, Silvia Hernández, Álvaro Pérez
📅 2023 | 📈 N/A
📄 Book Chapter
🔗 DOI: 10.1007/978-3-031-37496-8_13

Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
👥 Javier Navarro, Iván García-Magariño, Jorge J. Gómez Sanz, Raquel Lacuesta, Rubén Fuentes, Juan Pavón
📅 2022 | 📈 N/A
📄 Book Chapter
🔗 DOI: 10.1007/978-3-031-22419-5_18

 

 

 

Sandipan Mondal | Data Science | Young Scientist Award

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Dr. Sandipan Mondal | Data Science | Young Scientist Award

Post Doctoral Researcher & Adjunct Assistant Professor at National Taiwan Ocean University, India

Dr. Sandipan Mondal is a Post-Doctoral Researcher and Adjunct Assistant Professor at the National Taiwan Ocean University, specializing in fisheries oceanography, climate change effects, species distribution modeling, and marine ecosystem dynamics. His expertise spans fish feeding ecology, taxonomic identification, stable isotope analysis, and fishing gear technology. With a strong research background, he has contributed significantly to habitat modeling and the impact of climate variability on fisheries in the Indian Ocean and Taiwan Strait. Dr. Mondal has an impressive publication record in top-tier journals and has received accolades such as the Young Academician Award and a research grant from the National Science and Technology Council of Taiwan. His ability to integrate advanced computational techniques, machine learning models, and remote sensing in ecological research sets him apart. A dedicated scientist committed to environmental sustainability, he actively collaborates on interdisciplinary projects and participates in academic awards, driving impactful contributions to marine and fishery sciences.

Professional Profile 

Google Scholar
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Education

Dr. Sandipan Mondal holds a Ph.D. in Fisheries Resource Management from ICAR-Central Institute of Fisheries Education, India. His doctoral research focused on the impact of climate variability on fisheries and marine ecosystems, integrating statistical and computational approaches. Prior to this, he earned a Master’s degree in Fisheries Science with a specialization in Fisheries Resource Management, where he developed expertise in species distribution modeling and fish population dynamics. He also holds a Bachelor’s degree in Fisheries Science, which laid the foundation for his knowledge in aquaculture, fish biology, and marine ecology. His academic journey has been marked by rigorous training in advanced data analysis, remote sensing applications in fisheries, and ecological modeling. Throughout his education, he actively participated in research projects, workshops, and field studies, refining his skills in experimental design and marine biodiversity assessment. His strong academic background and multidisciplinary expertise have enabled him to contribute significantly to fisheries and marine research.

Professional Experience

Dr. Sandipan Mondal is currently a Post-Doctoral Researcher and Adjunct Assistant Professor at the National Taiwan Ocean University. In this role, he conducts research on fisheries oceanography, climate change impacts, and ecosystem-based fisheries management. He has extensive experience in species distribution modeling, stable isotope analysis, and fish feeding ecology, contributing to marine conservation and sustainable fisheries management. Before this, he worked as a Research Associate at ICAR-Central Institute of Fisheries Education, where he engaged in projects related to fisheries stock assessment, climate resilience, and marine habitat modeling. He has also collaborated with international research teams on machine learning applications in ecological studies. Additionally, he has served as a mentor and guest lecturer, sharing his expertise in fisheries science, oceanography, and statistical modeling. His professional journey reflects a strong commitment to interdisciplinary research, academic mentorship, and practical applications of fisheries and marine ecosystem studies.

Research Interest

Dr. Sandipan Mondal’s research interests focus on fisheries oceanography, marine ecosystem modeling, and the impact of climate change on aquatic biodiversity. He specializes in species distribution modeling, habitat suitability analysis, and the use of remote sensing and GIS in fisheries research. His work integrates machine learning techniques and advanced statistical approaches to predict fish population dynamics and assess marine environmental changes. He is particularly interested in the trophic interactions of marine species, stable isotope applications in food web studies, and the sustainability of fisheries resources under changing climatic conditions. His research extends to the development of fishing gear technology, ecological niche modeling, and conservation strategies for commercially important fish species. By combining computational tools and field-based studies, he aims to contribute to sustainable fisheries management and marine biodiversity conservation. His interdisciplinary approach enables him to address complex challenges in fisheries science and oceanographic research.

Awards and Honors

Dr. Sandipan Mondal has received several prestigious awards and honors in recognition of his outstanding contributions to fisheries and marine sciences. He was honored with the Young Academician Award for his groundbreaking research in fisheries oceanography and climate change impacts. He has also been awarded a research grant by the National Science and Technology Council of Taiwan, supporting his innovative work in species distribution modeling and marine ecosystem dynamics. His academic excellence has been acknowledged through multiple best paper and presentation awards at international awards. Additionally, he has been a recipient of merit-based scholarships and fellowships during his academic journey. His commitment to research and innovation has positioned him as a leading expert in fisheries resource management. These accolades reflect his dedication to advancing marine science and his continuous pursuit of solutions for sustainable fisheries and environmental conservation.

Conclusion

Dr. Sandipan Mondal is a dedicated marine scientist whose expertise in fisheries oceanography, climate change impacts, and ecosystem modeling has significantly contributed to the field of fisheries and marine research. His strong academic background, combined with extensive research experience, has allowed him to integrate advanced computational tools and ecological theories to address critical challenges in fisheries management. Through his interdisciplinary approach, he has made notable contributions to marine conservation, sustainable fisheries practices, and climate adaptation strategies. His work has been recognized through numerous awards, grants, and publications in high-impact journals. Beyond research, he is actively involved in academic mentorship and collaborative projects, driving innovation and knowledge exchange in the scientific community. With a passion for environmental sustainability and marine biodiversity conservation, Dr. Mondal continues to explore new frontiers in fisheries science, aiming to bridge the gap between research and practical applications for the benefit of global aquatic ecosystems.

Publications Top Noted

1.

  • Title: Habitat suitability modeling for the feeding ground of immature albacore in the southern Indian Ocean using satellite-derived sea surface temperature and chlorophyll data
  • Authors: S Mondal, AH Vayghan, MA Lee, YC Wang, B Semedi
  • Year: 2021
  • Citations: 26
  • Source: Remote Sensing 13 (14), 2669

2.

3.

  • Title: Long-term observations of sea surface temperature variability in the Gulf of Mannar
  • Authors: S Mondal, MA Lee
  • Year: 2023
  • Citations: 10
  • Source: Journal of Marine Science and Engineering 11 (1), 102

4.

  • Title: Seasonal distribution patterns of Scomberomorus commerson in the Taiwan Strait in relation to oceanographic conditions: An ensemble modeling approach
  • Authors: S Mondal, MA Lee, JS Weng, KE Osuka, YK Chen, A Ray
  • Year: 2023
  • Citations: 9
  • Source: Marine Pollution Bulletin 197, 115733

5.

  • Title: Ensemble modeling of black pomfret (Parastromateus niger) habitat in the Taiwan Strait based on oceanographic variables
  • Authors: S Mondal, MA Lee, YK Chen, YC Wang
  • Year: 2023
  • Citations: 9
  • Source: PeerJ 11, e14990

6.

  • Title: Habitat modeling of mature albacore (Thunnus alalunga) tuna in the Indian Ocean
  • Authors: S Mondal, MA Lee
  • Year: 2023
  • Citations: 8
  • Source: Frontiers in Marine Science 10, 1258535

7.

8.

  • Title: Ensemble three-dimensional habitat modeling of Indian Ocean immature albacore tuna (Thunnus alalunga) using remote sensing data
  • Authors: S Mondal, YC Wang, MA Lee, JS Weng, BK Mondal
  • Year: 2022
  • Citations: 8
  • Source: Remote Sensing 14 (20), 5278

9.

  • Title: Long-term variation of sea surface temperature in relation to sea level pressure and surface wind speed in the southern Indian Ocean
  • Authors: S Mondal, MA Lee, YC Wang, B Semedi
  • Year: 2022
  • Citations: 7
  • Source: Journal of Marine Science and Technology 29 (6), 784-793

10.

  • Title: Changes in properties of polyamide netting materials exposed to different environments
  • Authors: S Mondal, SN Thomas, B Manoj Kumar
  • Year: 2019
  • Citations: 7
  • Source: J Fish Res. 2019; 3 (2): 1-3. J Fish Res 2019 Volume 3 Issue 2

11.

  • Title: Impact of climatic oscillations on marlin catch rates of Taiwanese long-line vessels in the Indian Ocean
  • Authors: S Mondal, A Ray, KE Osuka, RI Sihombing, MA Lee, YK Chen
  • Year: 2023
  • Citations: 6
  • Source: Scientific Reports 13 (1), 22438

12.

  • Title: Detecting the feeding habitat zone of albacore tuna (Thunnus alalunga) in the southern Indian Ocean using multisatellite remote sensing data
  • Authors: S Mondal, YC Lan, MA Lee, YC Wang, B Semedi, WY Su
  • Year: 2022
  • Citations: 5
  • Source: Journal of Marine Science and Technology 29 (6), 794-807

13.

  • Title: Habitat modelling of escolar fish (Lepidocybium flavobrunneum, Smith 1843) in the southwestern Indian Ocean using remote sensing data
  • Authors: RI Sihombing, A Ray, S Mondal, MA Lee
  • Year: 2024
  • Citations: 4
  • Source: International Journal of Remote Sensing 45 (23), 8722-8741

14.

15.

  • Title: Fishery-based adaptation to climate change: The case of migratory species flathead grey mullet (Mugil cephalus L.) in Taiwan Strait, Northwestern Pacific
  • Authors: MA Lee, S Mondal, SY Teng, ML Nguyen, P Lin, JH Wu, BK Mondal
  • Year: 2023
  • Citations: 4
  • Source: PeerJ 11, e15788

16.

  • Title: Distribution patterns of grey mullet in the Taiwan Strait in relation to oceanographic conditions
  • Authors: SY Teng, S Mondal, QH Lu, P Lin, MA Lee, LG Korowi
  • Year: 2024
  • Citations: 2
  • Source: Journal of Marine Science and Engineering 12 (4), 648

17.

  • Title: Modeling of swordtip squid (Uroteuthis edulis) monthly habitat preference using remote sensing environmental data and climate indices
  • Authors: A Haghi Vayghan, A Ray, S Mondal, MA Lee
  • Year: 2024
  • Citations: 2
  • Source: Frontiers in Marine Science 11, 1329254

18.

  • Title: Total catch variability in the coastal waters of Taiwan in relation to climatic oscillations and possible impacts
  • Authors: MA Lee, S Mondal, JH Wu, M Boas
  • Year: 2022
  • Citations: 2
  • Source: Journal of Taiwan Fisheries Society 49 (2), 127-143

19.

  • Title: Cyclic variation in fishing catch rates influenced by climatic variability in the waters around Taiwan
  • Authors: MA Lee, S Mondal, JH Wu, YH Huang, M Boas
  • Year: 2022
  • Citations: 2
  • Source: Journal of Taiwan Fisheries Society 49 (2), 113-125

20.

  • Title: The influence of sea surface temperature on the distribution of albacore tuna (Thunnus alalunga) in the southern Indian Ocean
  • Authors: S Mondal, MA Lee
  • Year: 2018
  • Citations: 1
  • Source: Journal of Fisheries Society Taiwan 45 (4), 253-260