Haruto Nishida | Medicine| Best Researcher Award

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Assoc. Prof. Dr.Haruto Nishida| Medicine |Best Researcher Award

Assoc. Prof. Dr. Haruto Nishida  Faculty of MedicineOita University,Japan.

Dr. Haruto Nishida is an Associate Professor in the Department of Diagnostic Pathology at the Faculty of Medicine, Oita University, Japan. He earned his medical degree from Oita University School of Medicine and subsequently obtained a Ph.D. in Diagnostic Pathology from Oita University Graduate School of Medicine.Dr. Nishida began his academic career at Oita University as an Assistant Professor in 2012 and was promoted to Lecturer in 2019.As a general pathologist, he specializes in diagnosing a wide range of organs, including the skin, stomach, lungs, uterine cervix, and brain. He has a particular interest in dermatopathology and regularly presents his research at international conferences such as the American Society of Dermatopathology (ASDP) and the United States and Canadian Academy of Pathology (USCAP)

Publication Profile

Orcid

Scopus

Education :

Dr. Haruto Nishida obtained his Medical Degree from the Faculty of Medicine, Oita University, Japan, in 2009. He later pursued a Doctor of Philosophy (PhD) at the Graduate School of Medicine, Oita University, completing his doctoral studies in 2015.

Experience :

Dr. Nishida has an extensive background in diagnostic pathology and has held various academic and clinical positions:Resident in General Medicine, Oita Medical Hospital, Yufu, Japan (2009–2011)Fellow in Diagnostic Pathology, Oita University, Japan (2011–2012)Assistant Professor, Department of Diagnostic Pathology, Oita University (2012–2019)Lecturer, Department of Diagnostic Pathology, Oita University (2019–2020)Associate Professor, Department of Diagnostic Pathology, Oita University (2020–Present)Clinical Fellow, various international institutions including Centre Léon Bérard, France; St John’s Institute of Dermatology, UK; Universitätsklinikum Münster, Germany; and Medical University of South Carolina, USA (2024–Present)

Research Focus :

Dr. Nishida’s research interests include:Dermatopathology and Molecular PathologySoft Tissue and Bone TumorsCytopathology and Autopsy PathologyMolecular Mechanisms in Skin and Gynecologic PathologiesDiagnostic and Digital Pathology InnovationsHis research has contributed significantly to understanding various pathological conditions, including rare tumors and molecular alterations in dermatological diseases.

 

Awards:

Dr. Nishida has been recognized for his contributions to pathology, including:Outstanding Researcher Award by the Japanese Society of PathologyBest Paper Award for his contributions to dermatopathology researchAcademic Excellence Award from Oita UniversityYoung Investigator Award in Molecular Pathology

Publication :

A multicenter study on TROP2 as a potential targeted therapy for extramammary Paget disease in Japan

The relationship between tumor immunity and the cGAS–STING pathway in breast cancer: An immunohistochemical study

 Conclusion

Dr. Nishida is highly suitable for the award, particularly in the field of diagnostic pathology and molecular pathology. If the award criteria prioritize international recognition, impact factor, and leadership, he stands as a strong contender but could further improve his research influence globally

 

Prabhavathy M | Disease Diagnosis |Best Researcher Award

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Dr. Prabhavathy M | Disease Diagnosis |Best Researcher Award

 Dr.Prabhavathy M,Coimbatore Institute of technology,India

Dr. Prabhavathy M. is a distinguished academic and researcher at the Coimbatore Institute of Technology, India. With extensive expertise in engineering and technology, she is known for her contributions to advanced research and innovation in her field. Dr. Prabhavathy has published numerous papers in renowned journals and actively participates in national and international conferences, where her insights have enriched the academic community. Through her teaching and mentorship, she continues to inspire the next generation of engineers and researchers.

Summary:

Assist. Prof. Dr. Manatee Jitanan is a strong candidate for the Research for Best Researcher Award due to his extensive research in global health, public health education, and the innovative use of technology to promote well-being. His multidisciplinary background, long-standing academic career, and research on contemporary health issues are his key strengths. However, focusing more on specialized topics, enhancing international collaborations, and increasing high-impact journal publications could further bolster his candidacy for global recognition.

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Instrumentation and Control Engineering (ICE), Anna University (2022)
Awarded with “Highly Commended” honors, the Ph.D. in ICE emphasized innovative control strategies in real-world applications, advancing precision and reliability within engineering systems.,Master of Engineering in Computer Science and Engineering, Anna University, Kumaraguru College of Technology, Coimbatore (2011),Graduated with a CGPA of 8.87, attaining “First Class with Distinction.” Specialized in advanced computer science domains, focusing on algorithm optimization and data management technologies.,Bachelor of Engineering in Computer Science and Engineering, Anna University, Government College of Engineering, Salem (2009),Achieved 79%, securing “First Class with Distinction.” The program emphasized foundational and advanced topics in computer science, developing robust software engineering skills and an analytical mindset.

🏢 Experience:

Associate Professor, Coimbatore Institute of Technology (February 2024 – Present)
As an Associate Professor, responsibilities include curriculum development, leading research projects, and mentoring graduate students. A significant focus has been on integrating real-world applications with academic concepts to enhance student engagement.,Assistant Professor, Coimbatore Institute of Technology (May 2014 – January 2024)
With a decade of service, contributed to curriculum design, research advancements, and student mentorship. Developed instructional strategies that bridge theoretical knowledge with practical, industry-aligned applications.,Assistant Professor, Dhirajlal Gandhi College of Technology, Salem (June 2013 – May 2014),Focused on implementing advanced teaching methods to promote student understanding in key areas of computer science. Collaborated on departmental research initiatives and student assessment innovations

🛠️Skills:

Technical Skills,Proficient in Machine Learning, Computer Aided Design In Mechanical Engineering, Deep Neural Networks, Service-Oriented Architecture, and Data Analytics. Extensive knowledge in the development and application of intelligent systems and data-driven solutions.Instructional Skills
Specialized in Curriculum Design, Technological Instruction, Authentic Assessment Development, and Student Counseling and Motivation. Recognized for an ability to tailor instruction to meet diverse learning needs.Interpersonal Skills
Exhibits strong Interpersonal Communication, Organizational Skills, Time Management, and Problem-Solving abilities. Known for building a collaborative environment that fosters learning and innovation.

Research Focus :

With over 14 years of combined academic and industry experience, research has centered on the practical applications of machine learning and explainable AI. Key projects include:,IoT-Based Health Monitoring in ICUs,Developed a patent-published system for real-time patient monitoring in ICU settings, providing critical insights into patient care and alerting mechanisms for healthcare providers.Automatic Video Summarization Using LSTM Architectures,Conducted pioneering research in video content processing using recurrent neural networks, enhancing the efficiency and effectiveness of media management and data analysis.

🔬Awards:

Outstanding Academic Performance,Graduated with “First Class with Distinction” in both Master’s and Bachelor’s degrees in Computer Science and Engineering, demonstrating a consistent record of academic excellence.,Highly Commended Ph.D. Thesis
Recognized by Anna University for a “Highly Commended” Ph.D. thesis, underscoring the innovative nature and impact of research in Instrumentation and Control Engineering.Published Patents in IoT and AI,Holder of several patents for innovations in IoT, neural network architectures, and AI-driven educational tools, highlighting contributions to technological advancements in education and health monitoring.

Conclusion:

Dr. Jitanan is well-suited for the Research for Best Researcher Award, given his significant contributions to public health and health education, especially in response to current global challenges like COVID-19 and firearm violence. His research has practical applications, particularly in improving the well-being of students and vulnerable populations, which aligns with the criteria of impactful, innovative, and community-driven research. With some areas for growth, particularly in international collaboration and high-impact journal outreach, Dr. Jitanan has the potential to make an even greater mark in his field.

Publications :

  • Title: Machine Learning-Based Prediction of Cyclic Voltammetry Behavior of Substitution of Zinc and Cobalt in BiFeO3/Bi25FeO40 for Supercapacitor Applications
    Authors: Ravichandran, A., Raman, V., Selvaraj, Y., Mohanraj, P., Kuzhandaivel, H.
    Source: ACS Omega
    Year: 2024
    Citations: 0

 

  • Title: Evolutionary Discriminative Deep Belief Network Based Diabetic Retinopathy Classification
    Authors: Saranya Rubini, S., Sathya, K., Saveeth, R., Prabhavathy, M.
    Source: Lecture Notes in Networks and Systems
    Year: 2024
    Citations: 0

 

  • Title: Stroke Prediction Using ML and IoT Based Wearable Device
    Authors: Kanagaraj, G., Primya, T., Prabhavathy, M., Saranya, P., Senthilkumar, V.
    Source: AIP Conference Proceedings
    Year: 2023
    Citations: 0

 

  • Title: Meat Dish Image Recognizer: Automatic Categorization of Various Meat Dish Images in Malaysia using Deep Learning Techniques
    Authors: Sumari, P., Raman, V., Prabhavathy, M., Sheng, K.W., Han, S.W.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: Detection of Covid 19/Pneumonia by using Machine Learning Techniques
    Authors: Thilagavathi, G., Lavanya, G., Prabhavathy, M., Saranya, R.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: API Calls Based Malware Detection using Behavior Graphs
    Authors: Prabhavathy, M., Raman, V., Thilagavathi, G.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: An Enhanced Deep Learning Technique for Crack Identification in Composite Materials
    Authors: Ramanathan, S., Sankareswaran, U.M., Mohanraj, P.
    Source: Lecture Notes in Networks and Systems
    Year: 2023
    Citations: 0

 

  • Title: A Novel Approach for Detecting Online Malware Detection LSTM-RNN and GRU Based Recurrent Neural Network in Cloud Environment
    Authors: Prabhavathy, M., Uma Maheswari, S., Saveeth, R., Saranya Rubini, S., Surendiran, B.
    Source: Lecture Notes in Networks and Systems
    Year: 2022
    Citations: 3

 

  • Title: Prevention of runtime malware injection attack in cloud using unsupervised learning
    Authors: Prabhavathy, M., Umamaheswari, S.
    Source: Intelligent Automation and Soft Computing
    Year: 2022
    Citations: 6

 

  • Title: Permission and API calls based hybrid machine learning approach for detecting malicious software in android system
    Authors: Prabhavathy, M., Maheswari, S.U., Saveeth, R., Rubini, S.S.
    Source: Journal of Multiple-Valued Logic and Soft Computing
    Year: 2021
    Citations: 2