Yu Yang | Prevention And Control | Excellence in Research

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Dr. Yu Yang | Prevention And Control | Excellence in Research

lecturer at Xihua University, China

Dr. Yu Yang is a dedicated researcher and educator specializing in Geological Engineering with a focus on geohazard risk management and emergency response. He is currently a Lecturer at Xihua University’s School of Emergency Management, where he contributes to advancing knowledge and practices in emergency management. Dr. Yang completed his PhD in Geological Resources and Geological Engineering at Chengdu University of Technology, where he also earned his MSc and BSc degrees. His research expertise spans geohazard risk zoning, emergency management, and the long-term effects of geological hazards. With significant experience as a Technical Manager at Zhaozhi Future Technology and a Technical Research Position at the State Grid Sichuan Electric Power Company, Dr. Yang has applied his skills in remote sensing and environmental monitoring to address critical issues in disaster management. His innovative work is reflected in his publications and patents, showcasing his commitment to advancing geohazard assessment and mitigation technologies.

Profile:

Education:

Dr. Yu Yang completed his education at Chengdu University of Technology, where he pursued a comprehensive academic path in Geological Engineering. He obtained his PhD in Geological Resources and Geological Engineering from the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, under the mentorship of Prof. Tang Chuan, with an expected graduation date in December 2023. Prior to this, he earned his MSc in Geological Engineering from the same institution, where he continued to work with Prof. Tang Chuan. Dr. Yang began his academic journey with a BSc in Geological Engineering from the School of Environmental and Civil Engineering at Chengdu University of Technology, graduating in July 2014. His education has provided him with a solid foundation in geological sciences and engineering, emphasizing geohazard prevention and management.

Professional Experience:

Dr. Yu Yang has accumulated extensive professional experience in the field of Geological Engineering, emphasizing geohazard risk assessment and emergency management. Currently serving as a Lecturer at Xihua University’s School of Emergency Management since April 2024, he imparts his expertise in emergency management strategies and geological hazard mitigation. Prior to this role, Dr. Yang worked as a Technical Manager at Zhaozhi Future Technology (Chengdu) Co., Ltd. from May 2021 to May 2023, where he focused on integrating remote sensing, risk assessment, and monitoring systems for effective emergency management. He also held a Technical Research position at the State Grid Sichuan Electric Power Company’s Electric Power Research Institute from August 2022 to February 2023, concentrating on dynamic risk zoning and environmental monitoring. Earlier in his career, Dr. Yang worked as an Engineer at the Chengdu Planning and Natural Resources Bureau’s Geological Environment Monitoring Station from July 2017 to May 2021, where he was responsible for geological disaster risk zoning, monitoring, forecasting, and emergency management.

Research Interests:

Dr. Yu Yang’s research interests are centered around geohazard risk assessment and management, with a particular focus on monitoring and mitigating the impacts of geological hazards. His work encompasses the development and application of advanced techniques for geohazard risk zoning, emergency management, and long-term hazard effects. Dr. Yang is keenly interested in the dynamic evolution of geohazards, such as landslides and debris flows, and how engineering interventions can be employed in disaster-prone areas to enhance resilience and safety. His research also explores the integration of remote sensing technologies and risk assessment systems to improve the accuracy of hazard predictions and response strategies.

Skills:

Dr. Yu Yang possesses a robust skill set tailored to the field of geological engineering and hazard management. His technical proficiency includes advanced expertise in remote sensing, risk assessment, and environmental monitoring. Dr. Yang is adept at employing geospatial analysis tools and techniques, such as GIS and remote sensing technologies, to assess and manage geological hazards. He has a strong background in developing and applying systems for dynamic risk zoning and early warning indicators. His skills extend to project management and technical research, reflecting his ability to lead and contribute to complex projects in hazard mitigation and emergency management. Additionally, Dr. Yang is proficient in patent development, having contributed to innovations in geohazard monitoring and risk assessment systems.

Conclution:

Dr. Yu Yang’s extensive background in geological engineering, demonstrated by his educational achievements, diverse work experience, significant research contributions, and patents, positions him as a strong candidate for the Research for Excellence in Research Award. His innovative approach to managing and understanding geohazards through practical applications and advanced research underscores his excellence in the field.

Publication Tob Noted:

 

Anwesha Sarkar | Public Health |Best Researcher Award |

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Ms. Anwesha Sarkar, Public Health, Best Researcher Award

Ms. anwesha Sarkar at Indian Institute of Technology Patna, India

Anwesha Sarkar is a Ph.D. candidate in the Social Sciences Lab at the Indian Institute of Technology Patna. She holds a Master of Science degree in Geography from the University of Calcutta and a Bachelor of Science degree in Geography from Presidency University, Kolkata. Anwesha’s research interests lie in the intersection of geography, social sciences, and public health, with a focus on understanding the impact of neighborhood environments on women’s health. She has presented her work at various international conferences and workshops and has published papers in reputable journals. Anwesha is also a recipient of prestigious fellowships and grants, including a Ph.D. fellowship from the University Grants Commission (UGC). She is skilled in statistical analysis, GIS techniques, and various data analysis software.

Education:
  • Ph.D. Candidate in Social Sciences Lab, Indian Institute of Technology Patna (July 2021 – Present)
  • Master of Science in Geography, University of Calcutta, Kolkata, India (07/2017 to 08/2019), CGPA 4.41/6.00
  • Bachelor of Science in Geography, Presidency University, Kolkata, India (07/2014 to 06/2017), CGPA 7.51/10.00
  • Senior Secondary Examination, Bhavans Gangabux Kanoria Vidyamandir, Kolkata, India (2014), Percentage 91.75
  • Secondary Examination, Kendriya Vidyalaya No 2, Kolkata, India (2012), CGPA 10.0/10.0 .

Profile:

Research And Publication:

  • Published paper titled “A Comprehensive Trajectory Analyzing the Impact of Neighborhood on Women’s Health” in Health Care for Women International (2024).
  • Presented papers at various international conferences and workshops, including the International Conference on Social and Regional Resilience and the International Conference on Future Earth and Humanities.

Selected Cource And Workshops:

  • Attended workshops and courses on GIS tools and techniques, statistical data analysis using SPSS and R, qualitative techniques in geospatial sciences, and more.

Grant And Fellwship:

  • Awarded a Ph.D. fellowship by the UGC, with Junior Research Fellowship (07/2021 to 07/2023) and Senior Research Fellowship (08/2023 to 07/2026).
  • Qualified for the Junior Research Fellowship (UGC), India, in 2020, and the National Eligibility Test University Grants Commission (UGC), India, in 2019.

Internship:

  • Worked as a Recruitment Officer and Climate Counsellor at the International Centre for Culture & Education, contributing to the Green (R)evolution College Program and Global Certification Program.

Professional Membership:

  • Life member of the Indian Public Health Association (IPHA) since 08/2023.

Skills:

  • Proficient in statistical analysis (quantitative and mixed methods), cartographic techniques (remote sensing and GIS), and various data analysis software such as SPSS, STATA, R Programming, ArcMap, QGIS, Erdas Imagine, AutoCAD Map, and others.

Kalimuthu Marimuthu | Disease Prediction |Best Researcher Award

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Dr.Kalimuthu Marimuthu,  Disease Prediction, Best Researcher Award

 Dr. Kalimuthu Marimuthu at Gitam University, India

Dr. Kalimuthu Marimuthu is a distinguished academician and researcher with over 18 years of experience in the field of information technology. He holds a Ph.D. in Information Technology from Anna University, Chennai, where he was recognized for his highly commendable research. Dr. Marimuthu’s expertise spans various areas including big data analytics, cloud computing, data mining, and soft computing. He has contributed significantly to the academic community through his numerous publications in both national and international journals and conferences. With a strong commitment to excellence in education and research, Dr. Marimuthu continues to inspire and mentor students and professionals in the field of information technology.

Education:

Dr. Kalimuthu Marimuthu is a highly accomplished individual with a strong educational background. He obtained his Ph.D. (Doctor of Philosophy) from Anna University, Chennai, in April 2017, where he was recognized for his highly commendable research. Prior to his Ph.D., he completed his M.Tech. (Master of Technology) in Information Technology at Bharath University, Chennai, in May 2005, achieving a First Class with Distinction with a remarkable score of 8.4 out of 10. Earlier in his academic journey, Dr. Marimuthu earned his MCA (Master of Computer Applications) from Madras University, Chennai, in April 2002, securing a First Class with a notable percentage score of 66. These educational achievements underscore his dedication to academic excellence and his expertise in the field of information technology.

Profile:

Professional Experience:

Dr. Kalimuthu Marimuthu boasts a rich and diverse professional background in the field of information technology. Commencing his career journey as a Lecturer at SNS College of Technology (Autonomous) in Coimbatore in June 2005, he progressively advanced to higher positions, including Senior Lecturer, Assistant Professor, and Associate Professor. Throughout his career, Dr. Marimuthu has held various academic leadership roles, serving as the Academic Coordinator for implementing the Choice Based Credit System (CBCS), NBA Coordinator for the department, and overseeing Board of Studies and Head of Department (HOD) responsibilities. His contributions extend to quality assurance and enhancement initiatives, where he has served as the NAAC Coordinator and IQAC In charge for his college. Furthermore, Dr. Marimuthu actively engages in conducting workshops, seminars, and faculty development programs, demonstrating his commitment to the continuous professional development of his peers. With a prolific publication record in both national and international journals, Dr. Marimuthu’s research interests encompass a broad spectrum of topics, ranging from multi-class facial emotion recognition to gastric cancer classification and intelligent vision camera systems. Presently, as an Associate Professor at GITAM University, Bengaluru, Dr. Marimuthu continues to inspire students and fellow academics alike through his exemplary teaching, groundbreaking research, and effective administrative leadership.

Research interests:

Dr. Kalimuthu Marimuthu’s research interests encompass a broad spectrum of topics within the field of information technology. His focus areas include multi-class facial emotion recognition and gastric cancer classification using innovative approaches such as hybrid deep learning models. Additionally, Dr. Marimuthu is deeply engaged in the development of intelligent vision camera systems and their integration into smartphone architectures. Furthermore, he has a keen interest in big data analytics, cloud computing, operating systems, data mining, and soft computing, exploring these domains to uncover novel insights and solutions. Through his diverse research interests, Dr. Marimuthu demonstrates a commitment to advancing knowledge and technology in the ever-evolving landscape of information technology.

Publications:
  1. Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
    • Authors: A. Mogadala, M. Kalimuthu, D. Klakow
    • Journal: Journal of Artificial Intelligence Research (JAIR)
    • Citations: 126
    • Year: 2021
  2. Fusion models for improved image captioning
    • Authors: M. Kalimuthu, A. Mogadala, M. Mosbach, D. Klakow
    • Conference: International Conference on Pattern Recognition (ICPR)
    • Citations: 17
    • Year: 2021
  3. Automatic conversion of dialectal Tamil text to standard written Tamil text using FSTs
    • Authors: K. Marimuthu, SL Devi
    • Conference: Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM
    • Citations: 8
    • Year: 2014
  4. A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
    • Authors: M. Kalimuthu, F. Nunnari, D. Sonntag
    • Conference: ImageCLEF-2020
    • Citations: 7
    • Year: 2020
  5. Incremental domain adaptation for neural machine translation in low-resource settings
    • Authors: M. Kalimuthu, M. Barz, D. Sonntag
    • Conference: Association for Computational Linguistics (ACL)
    • Citations: 6
    • Year: 2019
  6. Named entity recognizer for Indian languages
    • Authors: SL Devi, CS Malarkodi, K. Marimuthu, C Chrompet
    • Conference: International Conference on Natural Language Processing (ICON)
    • Citations: 6
    • Year: 2013
  7. How human analyse lexical indicators of sentiments-a cognitive analysis using reaction-time
    • Authors: K. Marimuthu, SL Devi
    • Conference: Proceedings of the 2nd workshop on sentiment analysis where AI …
    • Citations: 4
    • Year: 2012
  8. Word boundary identifier as a catalyzer and performance booster for Tamil morphological analyzer
    • Authors: K. Marimuthu, K. Amudha, T. Bakiyavathi, SL Devi
    • Conference: Proceedings of 6th Language and Technology Conference, Human …
    • Citations: 2
    • Year: 2013
  9. Named entity recognizer for Indian languages (ICON NLP tool contest 2013)
    • Authors: SL Devi, CS Malarkodi, K. Marimuthu, C Chrompet
    • Conference: 10th International Conference on Natural Language Processing (ICON)
    • Citations: 1
    • Year: 2013