Manish Kumar | Artificial Intelligence | Best Researcher Award

Dr. Manish Kumar | Artificial Intelligence | Best Researcher Award

Seoul National University Of Science And Technology, India

Author Profile

Early Academic Pursuits

Dr. Manish Kumar embarked on his academic journey with a Bachelor of Technology (B. Tech) in Applied Electronics and Instrumentation Engineering from MIET Bhubaneswar, followed by a Master of Technology (M.Tech) in Biomedical Engineering from Manipal Institute of Technology. He later pursued a Ph.D. in Development of Adaptive Filters based on Nature Inspired Neural Network Models for Denoising Medical Images at Birla Institute of Technology, Mesra, Ranchi, where he excelled with a CGPA of 7.25.

Professional Endeavors

He has garnered a wealth of experience in both academia and research. He served as a Guest Faculty at University Polytechnic, BIT Mesra, Ranchi, where he imparted knowledge to graduate and diploma students. Additionally, he undertook an internship as an M.Tech Trainee at Central Scientific Instrument Organization (CSIR-CSIO), Chandigarh, where he designed a sensors-based infant condition monitoring system.

Contributions and Research Focus

Throughout his career, Dr. Kumar has demonstrated a keen interest and proficiency in various areas such as Image Processing, Machine Learning, Deep Learning, and Nature-Inspired Algorithms. His research endeavors have focused on developing adaptive image filters using neural networks and nature-inspired techniques. Notably, his Ph.D. research contributed significantly to the field, resulting in the publication of three research articles in reputable journals.

Accolades and Recognition

His academic and research achievements have been recognized and rewarded. He received a fellowship from the Department of Science & Technology, India, during his tenure at the Indian Institute of Technology, Patna, where he worked on machine learning-based fault prediction. Furthermore, his Ph.D. was awarded in 2018, marking a significant milestone in his academic journey.

Impact and Influence

His work has had a tangible impact on various domains, particularly in IoT security and HPC performance. His contributions to research and academia have enriched the field of artificial intelligence and inspired fellow researchers and students alike.

Legacy and Future Contributions

As He continues his journey as a Research Professor at Seoul National University of Science & Technology, his legacy of excellence and dedication to advancing engineering education and research serves as a guiding light for future generations. His ongoing efforts in research, teaching, and technical writing are poised to shape the future of artificial intelligence and its applications.

Citations

A total of  261 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations            261
  • h-index              9
  • i10-index           8

Notable Publications 

Comparative Analysis of Classification Methods with PCA and LDA for Diabetes
VKD DK Choubey, M Kumar, V Shukla, S Tripathi
[69] 2020

Implementation of a hybrid classification method for diabetes
DK Choubey, S Paul, K Bala, M Kumar, UP Singh
[9] 2019

Human-Computer Interaction

Human-Computer Interaction

Introduction of Human-Computer Interaction

Human-Computer Interaction (HCI) explores the dynamic relationship between humans and technology, aiming to design interfaces that enhance user experience and efficiency. In a world increasingly defined by digital interactions, HCI is at the forefront, shaping the way individuals interact with and perceive technology.

Subtopics:

  1. User Interface Design:

    Dive into the principles and methodologies of designing interfaces that facilitate seamless interactions between users and computers. Topics include usability, visual design, and the creation of intuitive interfaces to enhance user experience.

  2. User Experience (UX) Research:

    Explore the field of UX research, which involves understanding user behaviors, needs, and preferences. UX research informs the design process, ensuring that technology aligns with user expectations and contributes positively to their overall experience.

  3. Accessibility and Inclusive Design:

    Investigate the importance of designing technology that is accessible to users of diverse abilities. Inclusive design principles focus on creating interfaces that accommodate various users, promoting accessibility and usability for everyone.

  4. Gesture and Voice Interaction:

    Delve into emerging modes of interaction, such as gesture-based and voice-based interfaces. These interfaces leverage natural human behaviors, offering new ways for users to interact with technology beyond traditional keyboard and mouse inputs.

  5. Augmented and Virtual Reality (AR/VR):

    Explore the intersection of HCI with augmented and virtual reality technologies. HCI in AR/VR involves designing immersive and interactive experiences, considering factors like spatial awareness, gesture recognition, and the seamless integration of virtual elements into the user's environment.

 

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