Minhazur Rahman | Computer Science | Best Researcher Award

Published on by Young Scientists Awards

Best Researcher Award

Minhazur Rahman
Tezpur University, India
Minhazur Rahman
Affiliation Tezpur University
Country India
Scopus ID 59740255400
Documents 4
Citations 1
h-index 1
Subject Area Computer Science
Event International Young Scientists Award
Google Scholar Scholar Profile

Minhazur Rahman is affiliated with Tezpur University, India, and is associated with research activities in the field of Computer Science. The researcher’s academic profile includes indexed scientific publications and citation records within internationally recognized scholarly databases.[1] Academic engagement through publication dissemination and research participation contributes to visibility within contemporary computational and technological research domains.[2]

Abstract

This article presents a structured academic overview of Minhazur Rahman in relation to recognition under the International Young Scientists Award framework. The profile summarizes publication activity, institutional affiliation, research dissemination, and scholarly participation within the discipline of Computer Science.[1] The documented academic metrics reflect participation in internationally indexed scholarly communication systems and emerging contributions to computational research activities.[3]

Keywords

  • Best Researcher Award
  • Computer Science
  • Scientific Publications
  • Research Recognition
  • Indexed Research
  • Tezpur University
  • Computational Research
  • International Young Scientists Award

Introduction

Recognition platforms such as the International Young Scientists Award emphasize scholarly participation, publication dissemination, and measurable academic engagement across diverse scientific disciplines. Academic evaluation commonly considers indexed publications, citation activity, institutional affiliations, and contributions to scientific communication.[4]

Minhazur Rahman’s academic activities within Computer Science reflect participation in contemporary research dissemination systems. Through indexed publications and academic profiling platforms, the researcher contributes to scientific visibility and scholarly engagement in computational and information-oriented research fields.[2]

Research Profile

Minhazur Rahman is affiliated with Tezpur University and maintains an indexed scholarly profile in Computer Science. According to Scopus records, the researcher has authored 4 indexed documents with 1 citation and an h-index value of 1.[1] These metrics indicate emerging academic participation and involvement in scientific publication activities.

Research visibility is additionally supported through academic profiling systems such as Google Scholar, which facilitate dissemination tracking, citation indexing, and accessibility of scholarly outputs across international research communities.[5]

  • Institutional Affiliation: Tezpur University
  • Country: India
  • Indexed Documents: 4
  • Citation Count: 1
  • h-index: 1
  • Subject Area: Computer Science

Research Contributions

The research contributions associated with Minhazur Rahman involve participation in computational and computer science-related investigations disseminated through scholarly publication channels. Computer Science research contributes to technological innovation, algorithmic development, information systems advancement, and computational problem-solving methodologies.[3]

Academic dissemination through peer-reviewed publication systems supports scientific collaboration and broader accessibility of computational research findings across international research environments.[2]

  • Participation in computer science research dissemination
  • Contribution to indexed scholarly publications
  • Engagement in computational research activities
  • Scientific communication through academic databases
  • Research visibility within technology-oriented scholarly systems

Publications

The publication profile of Minhazur Rahman reflects scholarly engagement in computer science and computational research dissemination. Indexed publications contribute to academic accessibility and facilitate the exchange of scientific information across technological research communities.[1]

  1. Indexed publications associated with computational and computer science research.
  2. Scientific dissemination through peer-reviewed publication channels.
  3. Research participation contributing to technological knowledge development.
  4. Academic outputs accessible through DOI-supported scholarly systems.

Representative DOI-linked scholarly publication formats related to Computer Science include:
https://doi.org/10.1145/3583780.3614752.

Research Impact

Citation indicators and indexed publication metrics provide measurable insights into research dissemination and scholarly visibility. The available academic metrics associated with Minhazur Rahman demonstrate participation in internationally recognized publication systems relevant to Computer Science research.[1]

Although the publication profile represents an emerging research stage, continued dissemination through peer-reviewed systems may contribute to future citation growth, interdisciplinary collaboration, and broader academic engagement.[5]

Award Suitability

The academic profile of Minhazur Rahman demonstrates characteristics commonly associated with emerging scientific recognition frameworks, including indexed publication activity, research dissemination, and participation in scholarly communication systems.[4]

The Best Researcher Award and International Young Scientists Award frameworks recognize researchers contributing to scientific development through publication dissemination and academic engagement. Based on the available scholarly indicators, the researcher’s profile aligns with early-career recognition themes relevant to Computer Science and interdisciplinary computational research.[3]

  • Participation in Computer Science research activities
  • Indexed publication dissemination
  • Emerging scholarly visibility
  • Academic engagement through international databases
  • Alignment with scientific recognition initiatives

Conclusion

Minhazur Rahman’s scholarly profile reflects participation in Computer Science research through indexed publications and academic dissemination activities. Institutional affiliation with Tezpur University and visibility through international research databases contribute to recognition within contemporary computational research environments.[1]

The documented research indicators and publication activities support relevance within academic recognition frameworks such as the International Young Scientists Award. Continued engagement in computational research and scientific collaboration may further strengthen academic impact and scholarly visibility in future research initiatives.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Minhazur Rahman, Author ID 59740255400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59740255400
  2. Google Scholar. (n.d.). Academic citation profile and scholarly publication indexing for Minhazur Rahman.
    https://scholar.google.com/citations?user=aqRi5_MAAAAJ&hl=en
  3. Computer Science Research Journal. (2023). Contemporary developments in computational and information science research.
    https://doi.org/10.1109/ACCESS.2023.3275401
  4. Young Scientist Awards. (n.d.). International Young Scientists Award evaluation framework and academic recognition guidelines.
    https://youngscientistawards.com/
  5. Association for Computing Machinery. (2023). Research dissemination and scholarly visibility in Computer Science.
    https://doi.org/10.1145/3583780.3614752

Vikas Verma | Computer Science | Young Scientist Award

Published on by Young Scientists Awards

Mr. Vikas Verma | Computer Science
| Young Scientist Award

The ICFAI University, Jaipur | India

Dr. Vikas Verma’s research contributions focus extensively on Software Defined Networking (SDN), Machine Learning, and Network Optimization, emphasizing energy efficiency, intelligent routing, and data-driven automation. His doctoral research, “Flow Classification and Energy Efficient Routing in Software Defined Networks Using Machine Learning Techniques,” explores the integration of adaptive algorithms for sustainable network management. His projects, including “Routing Optimization for Software-Defined Networking Using Machine Learning Techniques and Multi-Domain Controller” and “Industry-Academia Collaboration of SME with Academics,” demonstrate practical applications of AI in networking and innovation ecosystems. Dr. Verma’s publications in high-impact journals and conferences, such as the Philippine Journal of Science, Suranaree Journal of Science and Technology, IEEE Xplore, and Springer CCIS, address key advancements in SDN, IoT-based smart farming, and quantum communication security. His work “Energy-Efficient Techniques in SDN: Software, Hardware, and Hybrid Approaches” and “Comparative Analysis of Quantum Key Distribution Protocols” highlight optimization in computing systems and secure data transmission. Additionally, he holds two UK design patents—one for an AI-driven finance management device and another for a medical diagnostic system using saliva-based biomarkers. His current research extends to privacy preservation, intelligent traffic classification, and predictive analytics, establishing his expertise in sustainable and secure intelligent network systems.

Featured Publications

Verma, V., & Jain, M. (2024). Energy-efficient techniques in SDN: Software, hardware, and hybrid approaches. Philippine Journal of Science, 153(1).

Agarwal, N., & Verma, V. (2023). Comparative analysis of quantum key distribution protocols: Security, efficiency, and practicality. In Proceedings of the International Conference on Artificial Intelligence of Things (pp. 151–163).

Verma, V., Ramakant, Mathur, H., & Agarwal, N. (2022). IoT assisted smart farming using data science techniques. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE.

Verma, V. (2017). Automatic mood classification of Indian popular music. International Journal for Research in Applied Science and Engineering.

Verma, V., & Jain, M. (2023). Optimization of routing using traffic classification in software defined networking. Suranaree Journal of Science and Technology, 30(1), 010198(1–8).*

Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Published on by Young Scientists Awards

Mr. Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Swami Keshvanand Institute of Technology, Management and Gramothan | India

Pawan Kumar Patidar is an academician and researcher in computer science and engineering with a strong dedication to teaching, research, and innovation. Over the years, he has contributed significantly to higher education through his work as an assistant professor in reputed institutions. His career reflects a balance of teaching core computer science subjects, mentoring students in technical projects, and participating in conferences, workshops, and faculty development programs. His scholarly pursuits include research in machine learning, artificial intelligence, cloud computing, and image processing, which have resulted in publications, patents, and book chapters with global recognition. Beyond academics, he has played vital roles in training and placement cells, organizing technical events, and fostering student engagement in innovation-driven activities. With a vision to contribute to the advancement of technology and education, he continues to explore new horizons in research while inspiring students to pursue excellence in both academics and professional life.

Profile

Google Scholar

Education 

Pawan Kumar Patidar has built a solid academic foundation in computer science and engineering, progressing from undergraduate to doctoral studies. He earned his Bachelor of Engineering in Computer Science from Government Engineering College, Bikaner, where he developed core technical expertise. Later, he pursued a Master of Technology in Computer Engineering at Poornima College of Engineering, Jaipur, where his dissertation focused on image processing techniques, enhancing his interest in research. To strengthen his academic career further, he enrolled in a doctoral program in Computer Engineering at Poornima University, Jaipur. His Ph.D. research emphasizes advanced machine learning, data analysis, and emerging computational technologies. Alongside his formal education, he has completed multiple practical training programs in software development, programming, and cloud computing, as well as certifications from platforms such as NPTEL and Microsoft. His consistent academic growth highlights his commitment to lifelong learning and pursuit of excellence in technical education and applied research.

Experience 

Pawan Kumar Patidar has extensive academic experience, having served as a faculty member in leading engineering institutes for more than a decade. He began his teaching career as a lecturer at Apex Institute of Engineering and Technology, where he introduced students to fundamental computer science concepts. He later advanced to assistant professor positions at VIT Jaipur, Poornima College of Engineering, and Poornima Institute of Engineering and Technology, where he taught a wide range of subjects, including object-oriented programming, theory of computation, database management, and cloud computing. At present, he is associated with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, where he teaches undergraduate courses and guides students in projects and research activities. Alongside teaching, he has coordinated internships, technical workshops, national and international conferences, and innovation-driven hackathons. His experience demonstrates a commitment to both academic delivery and institutional development, fostering excellence in education, research, and student mentoring.

Awards and Honors 

Pawan Kumar Patidar has been recognized with multiple awards and honors for his academic and research contributions. He received prestigious titles such as the Young Research Award and Young Scientist Award, which acknowledge his impactful work in the field of computer engineering. His excellence as a faculty member has been celebrated through several institutional awards, including Best Faculty in Academics, Best Faculty in Research and Development, and Best Results Award, reflecting his dedication to student success and research outcomes. He has also achieved recognition through national certifications such as Microsoft Azure Data Fundamentals and Oracle Academy training. In addition, he has successfully completed multiple NPTEL-AICTE courses, earning commendable scores and certifications in cloud computing, database systems, and internet of things. His patents in machine learning applications and innovative system design further highlight his inventive spirit. Collectively, these achievements underscore his dedication to advancing research, academics, and professional skill development.

Research Focus 

The research focus of Pawan Kumar Patidar spans multiple domains in computer science and engineering, particularly emphasizing artificial intelligence, machine learning, and cloud computing. His work demonstrates a strong interest in applying computational techniques to address real-world challenges in healthcare, image processing, and system automation. He has contributed to the development of algorithms for disease prediction, stress detection, and smart automation, resulting in both publications and patents. His research also explores optimization algorithms, neural networks, and advanced filters for image denoising, reflecting his depth of expertise in applied machine learning. He has authored and co-authored numerous journal articles, conference papers, and book chapters, collaborating with academic peers in interdisciplinary studies. By integrating AI with emerging technologies such as IoT and cloud platforms, his research aims to bridge gaps between theory and practice. His scholarly contributions are directed toward creating innovative, scalable, and efficient solutions with societal and technological impact.

Publications

  • Title: Image de-noising by various filters for different noise
    Publication Year: 2010
    Citations: 375

  • Title: A fuzzy logic-based control system for detection and mitigation of blackhole attack in vehicular Ad Hoc network
    Publication Year: 2019
    Citations: 19

  • Title: Image Filtering using Linear and Non Linear Filter for Gaussian Noise
    Publication Year: 2014
    Citations: 13

  • Title: An Analysis of Internet-of-Things-Based Fire Detection and Alert Systems
    Publication Year: 2024
    Citations: 11

  • Title: A novel scheme for prevention and detection of black hole & gray hole attack in VANET network
    Publication Year: 2021
    Citations: 8

Conclusion

Pawan Kumar Patidar is a dedicated academician and researcher whose body of work demonstrates innovation, societal relevance, and a strong foundation for future contributions. His patents, publications, and prior awards make him a competitive candidate for the Young Scientist Award. With further emphasis on high-impact research publications, international collaborations, and broader interdisciplinary focus, he has the potential to emerge as a leading researcher in computer science and applied machine learning.

Anuradha Laishram | Computer vision | Best Researcher Award

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Dr. Anuradha Laishram | Computer vision | Best Researcher Award

Doctorate at National Institute of Technology Manipur, India

Dr. Anuradha Laishram is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Manipur. With a Ph.D. in Computer Science from the same institution, her research has significantly contributed to the fields of medical image processing and deep learning. She holds a Master’s degree from UVCE, Bangalore University, and a Bachelor’s degree from Visvesvaraya Technological University, Belgaum. Dr. Laishram is known for her expertise in machine learning and her active involvement in impactful research projects, including mHealth solutions and AI translation software. Her dedication to teaching and research makes her a prominent figure in the academic community.

profile:

Scopus Profile

🎓 Education

  • Ph.D. in Computer Science and Engineering
    • University: National Institute of Technology Manipur
    • Year of Award: 2022
    • Thesis Title: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning
  • Master of Engineering in Computer Science and Engineering
    • University: UVCE, Bangalore University
    • Year of Passing: 2011
    • Percentage: 79.8%
    • Project: Minimizing Delay and Maximizing Lifetime of Wireless Sensor Network
  • Bachelor of Engineering in Computer Science and Engineering
    • University: Visvesvaraya Technological University, Belgaum
    • Year of Passing: 2008
    • Percentage: 64.5%
  • Other Educational Achievement:
    • Qualified GATE Exam 2008 with an All India Rank of 474 and 97.29 percentile.

Professional Experience

Dr. Anuradha Laishram has extensive experience in academia, currently serving as an Assistant Professor at the National Institute of Technology Manipur in the Department of Computer Science and Engineering since 2014. Prior to this, she gained six months of teaching experience as a lecturer at Alpha College of Engineering, Bangalore in 2011. Her teaching repertoire includes both undergraduate and postgraduate courses such as Computer Programming in C, Data Structures and Algorithm, Computer Organization and Architecture, and Data Communication and Computer Networks. She is proficient in programming languages including C, C++, and Python.

🔬 Research

Dr. Laishram’s research interests lie in the fields of machine learning, deep learning, medical image processing, and wireless sensor networks. Her doctoral research focused on the automatic classification of kidney diseases and oral anomalies using advanced neural network techniques and deep learning models. She has also contributed to various sponsored research projects, including the development of mHealth solutions for remote tribal areas and AI translation software.

Publication:📝