Saksham Tomar | Engineering | Young Scientist Award

Posted-on by Indian Scientist Awards

Young Scientist Award

 Saksham Tomar
Medicaps University, Indore, India

Saksham Tomar
Affiliation Medicaps University, Indore
Country India
Scopus ID 60687099200
Documents 2
Subject Area Artificial Intelligence
Event Indian Scientist Awards
ORCID 0009-0001-1691-9981

Saksham Tomar is associated with Medicaps University in Indore, India, according to the supplied profile information. Artificial intelligence is the identified research subject area, and two documents are reported under the provided Scopus author identifier. These details offer a preliminary overview of scholarly activity; publication records and individual research contributions require verification. [1] [2]

Abstract

This article presents an overview of Saksham Tomar’s supplied academic profile, identifying Medicaps University in Indore, India, as the institutional affiliation and artificial intelligence as the subject area. The provided Scopus identifier is 60687099200, with two reported documents. Further examination of verified publications is necessary to establish specific research themes, findings, and scholarly contributions. [1] [2]

Keywords

Saksham Tomar; Young Scientist Award; artificial intelligence; machine learning; computational research; scholarly publications; academic research; research evaluation; Indian Scientist Awards; scientific innovation; bibliometric analysis.

Introduction

Artificial intelligence is an interdisciplinary field concerned with developing computational systems capable of performing tasks associated with learning, reasoning, prediction, and decision-making. Its applications extend across science, engineering, healthcare, and industry. Saksham Tomar’s supplied profile identifies artificial intelligence as the research area. Evaluating achievements requires verified publications, clearly defined methods, and evidence of meaningful contributions. [2]

Research Profile

Saksham Tomar is identified in the supplied information as being affiliated with Medicaps University in Indore, India. The associated Scopus author identifier is 60687099200, and two documents are reported. Artificial intelligence is listed as the subject area. These details provide an initial bibliographic overview, while research specialization, publication authorship, and institutional affiliation should be confirmed through authoritative records. [1] [2]

Research Contributions

Research contributions in artificial intelligence may include developing algorithms, evaluating machine-learning models, improving computational efficiency, or applying intelligent systems to practical problems. The supplied profile does not specify Saksham Tomar’s individual discoveries or research findings. Consequently, particular achievements should be established through verified publications, reproducible methods, reported results, and comparison with existing scientific work before definitive conclusions are drawn. [2]

Publications

The supplied Scopus profile reports two documents associated with Saksham Tomar. A detailed publication review should verify article titles, author lists, publication dates, journals, research methods, and digital object identifiers where available. Reading the original studies can clarify their objectives, technical approaches, findings, and limitations. Accurate bibliographic verification is essential for assessing the scope and significance of an academic publication record. [1]

Research Impact

Research impact can be evaluated through citation activity, methodological advances, reproducibility, practical applications, and contributions to subsequent studies. The supplied information does not include citation totals or an h-index for Saksham Tomar. Therefore, quantitative conclusions about scholarly influence cannot be established from the available details alone. A balanced assessment should combine verified bibliometric information with qualitative examination of research outcomes. [1]

Award Suitability

The supplied academic profile provides preliminary information for consideration in connection with the Young Scientist Award at the Indian Scientist Awards event. Relevant evaluation factors may include originality, research quality, technical contribution, verified publications, and potential scientific relevance. The available profile alone does not establish award eligibility or selection. Final assessment should follow the organizers’ published requirements and a documented review of submitted evidence. [1]

Conclusion

Saksham Tomar’s supplied profile identifies artificial intelligence as the research subject and reports two indexed documents associated with the provided Scopus identifier. These details offer an initial overview of academic activity but do not independently demonstrate specific discoveries or research impact. A comprehensive assessment should examine verified publications, originality, methodological quality, and documented outcomes. Recognition should follow transparent criteria and evidence-based evaluation. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Saksham Tomar, Author ID 60687099200. Scopus. The author record can be consulted to verify publication details, affiliation, and available bibliometric information.
    https://www.scopus.com/authid/detail.uri?authorId=60687099200
  2. Indian Scientist Awards. (n.d.). Official website. Consult the organizers’ published information to verify award categories, eligibility requirements, nomination procedures, and evaluation criteria.
    https://indianscientist.in/

Krishnakumar S | Engineering | Best Researcher Award

Posted-on by Indian Scientist Awards

Mr. Krishnakumar S | Engineering | Best Researcher Award

Sri Ramakrishna Engineering College, Coimbatore | India

S. Krishnakumar is an academician, researcher, and innovation mentor with expertise in robotics, automation, embedded systems, and artificial intelligence-driven medical imaging. He has contributed to advancing research in applied electronics while simultaneously guiding students through innovation and national-level hackathons. With multiple publications in reputed international journals and several patents to his credit, he has established himself as a committed contributor to both teaching and applied research. His career reflects a balance of academic instruction, research excellence, and innovation leadership, enabling students to explore interdisciplinary learning and practical applications of emerging technologies for societal development.

Professional Profiles

Orcid | Google Scholar

Education

S. Krishnakumar pursued his undergraduate studies in Electronics and Instrumentation Engineering, followed by a postgraduate degree in Applied Electronics from a leading engineering institution. His academic background provided him with a strong foundation in circuit design, instrumentation, automation, and advanced electronics. He has consistently built on this knowledge by engaging in research and publishing in high-impact journals. Currently, he is pursuing a doctoral degree in the field of medical image processing and artificial intelligence applications, where his research work focuses on developing efficient computational models for healthcare diagnostics and related applications, supported by academic rigor and innovation.

Professional Experience

Krishnakumar has served as an Assistant Professor in reputed engineering institutions, contributing to both teaching and research. He has taught courses in biomedical engineering, robotics, and automation, integrating practical applications with theoretical learning. Beyond classroom teaching, he has mentored students for major innovation competitions, including hackathons and national-level innovation challenges. His professional journey demonstrates a blend of academic instruction, research contribution, and mentoring for innovation and entrepreneurship. He has actively coordinated faculty development programs, technical workshops, and bootcamps, which have fostered creativity and critical thinking among students and faculty members across interdisciplinary domains.

Awards and Recognition

Throughout his academic and professional career, Krishnakumar has received recognition for his teaching, research, and mentoring excellence. He has participated in national and international conferences, presenting his research findings on automation, medical image analysis, and signal processing. His leadership in guiding students to success in national hackathons and innovation challenges has been acknowledged at institutional and government levels. He has also been recognized for his communication and debating skills in national-level events, earning accolades for his ability to inspire and engage audiences. His consistent achievements highlight his dedication to academic excellence and technological innovation.

Research Skills

Krishnakumar has strong research expertise in medical image analysis, artificial intelligence, robotics, and embedded systems. His work includes developing innovative computational models for disease diagnosis, advanced image processing techniques, and intelligent system design. He has published research in reputed Q1 and Q2 indexed journals and contributed to multiple patents that reflect practical solutions in automation, healthcare, and consumer technologies. His skills extend to tools such as MATLAB, LabVIEW, and LTspice, along with programming proficiency. His ability to integrate theoretical research with real-world applications has made significant contributions to the fields of applied electronics and biomedical engineering.

Notable Publications

Analysis of EEG signal for the estimation of concentration level of humans
Author: R Velnath, V Prabhu, S Krishnakumar
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012003
Year: 2021
Citations: 18

Review on sensor based colour sorting robot for candy manufacturing
Author: S Krishnakumar, K Sneha, A Reethika
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012094
Year: 2021
Citations: 6

RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis
Author: K Subramaniam, A Naganathan
Journal: International Journal of Imaging Systems and Technology 34 (5), e23187
Year: 2024
Citations: 2

Enhancing retinal fundus image classification through active gradient deep convolutional neural network and red spider optimization
Author: K Subramaniam, A Naganathan
Journal: Neural Computing and Applications 36 (26), 16607-16619
Year: 2024
Citations: 2

RFLSR based Productive MBIST Architecutre for VLSI
Author: M Supriya, V Jayaraj, S Vinod, VU Maheswari, MA Raja, S Krishnakumar
Journal: 2022 Second International Conference on Advanced Technologies in Intelligent …
Year: 2022
Citations: 1

Conclusion

S. Krishnakumar represents a blend of educator, researcher, and innovator, with his career dedicated to advancing science, technology, and education. His contributions span across classroom teaching, impactful research, and mentorship for innovation-driven learning. He continues to work on interdisciplinary challenges that bridge electronics, automation, and healthcare applications, creating solutions with societal impact. His leadership in student innovation, national hackathons, and faculty training programs has fostered an ecosystem of learning and creativity. With a strong research profile, technical expertise, and passion for teaching, he remains committed to driving excellence in academia and applied technological advancements.