Chandan Pandey | Engineering | Young Scientist Award

Young Scientist Award

Chandan Pandey
IIT Jodhpur, India
Chandan Pandey
Affiliation IIT Jodhpur
Country India
Scopus ID 56494528900
Documents 233
Citations 8,637
h-index 55
Subject Area Engineering
Event International Young Scientists Award
Google Scholar View Profile

Chandan Pandey of IIT Jodhpur, India. His academic record demonstrates sustained contributions to engineering research through high-impact publications, extensive citation performance, and active participation in scientific advancement. With more than 233 indexed publications, 8,637 citations, and an h-index of 55, his research portfolio reflects notable influence across engineering disciplines and interdisciplinary technological studies.[1]

Abstract

This article presents a concise academic overview of Chandan Pandey and evaluates his suitability for recognition through the International Young Scientists Award. His scholarly activities encompass engineering research, scientific publications, collaborative investigations, and contributions to knowledge dissemination. The measurable indicators of research productivity, including publication output, citation count, and h-index, demonstrate a sustained level of academic engagement and visibility within the global research community.[1]

Keywords

Engineering Research, Scientific Publications, Innovation, Citation Impact, Scopus Author Profile, Academic Recognition, Research Excellence, IIT Jodhpur, Young Scientist Award, Scholarly Contributions.

Introduction

Research excellence is commonly assessed through scholarly productivity, scientific influence, and contributions to advancing knowledge. Chandan Pandey has established a substantial academic profile through publication activity and citation performance. His work reflects engagement with engineering challenges and emerging technological developments while supporting the broader objectives of innovation and scientific progress.[2]

Research Profile

The research profile of Chandan Pandey indicates extensive scholarly activity. According to publicly available academic indexing services, his publication record includes more than two hundred peer-reviewed documents. These publications have received significant citation attention, suggesting that the research has contributed meaningfully to ongoing scientific discussions and technological applications.[1]

  • 233 indexed research documents.
  • 8,637 scholarly citations.
  • h-index of 55.

Research Contributions

The research contributions associated with Chandan Pandey demonstrate participation in areas related to engineering innovation, applied scientific methodologies, and interdisciplinary investigations. His publications have supported the development of scientific understanding and have contributed to research networks through collaboration and dissemination of findings. Such contributions are reflected through citation metrics and continued academic engagement.[3]

Publications

The publication portfolio includes journal articles, conference papers, reviews, and collaborative research outputs indexed by major scholarly databases. The breadth of publications demonstrates sustained academic productivity and ongoing participation in research activities. Selected works are associated with internationally recognized publishers and indexed literature repositories.[1]

Research Impact

Research impact is frequently measured using citations, visibility, and adoption within subsequent studies. The citation count exceeding 8,600 and h-index of 55 indicate substantial scholarly recognition. These indicators suggest that published findings have been referenced by numerous researchers, thereby contributing to the cumulative advancement of engineering knowledge and related scientific fields.[1]

Award Suitability

Based on publicly available academic indicators, Chandan Pandey demonstrates characteristics commonly associated with candidates for scientific recognition programs. His publication record, citation performance, institutional affiliation, and demonstrated research engagement provide evidence of scholarly achievement. These attributes align with the objectives of the International Young Scientists Award, which seeks to acknowledge individuals contributing to scientific advancement and research excellence.[4]

Conclusion

Chandan Pandey’s academic profile reflects sustained research productivity, measurable scholarly influence, and active participation in engineering research. The combination of publication volume, citation impact, and institutional affiliation highlights a record of academic achievement. Within the context of scientific recognition initiatives, these accomplishments support consideration for acknowledgement through international research and innovation award programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Chandan Pandey, Author ID 56494528900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56494528900
  2. Google Scholar. (n.d.). Scholar profile and citation metrics for Chandan Pandey.
    https://scholar.google.co.in/citations?user=s-7k1QEAAAAJ&hl=en
  3. Pandey, C. et al. (2018). Research publication with DOI indexing.
    DOI: https://doi.org/10.1016/j.nanoen.2018.03.021
  4. International Young Scientists Award. (n.d.). Award objectives and recognition framework.
    https://youngscientistawards.com/

Abirami Karthikeyan | Engineering | Young Scientist Award

Dr. Abirami Karthikeyan | Engineering | Young Scientist Award

Assistant Professor | SASTRA Deemed University | India.

Dr. Abirami Karthikeyan is a researcher specializing in RF and microwave systems with a strong focus on non-invasive microwave sensors for Industrial IoT and biomedical applications. Her work advances smart sensing, metasurface-enhanced resonators, and near-field radio-frequency techniques for food, agriculture, and healthcare industries. She has published in high-impact journals and contributed to multiple conferences, book chapters, and patent innovations in microwave sensing. Her research includes integrated sensing-communication systems, 5G/6G antenna design, and intelligent RF systems for precision monitoring. She has secured competitive funding and earned notable awards for her research excellence and innovation. Her projects emphasize practical, application-driven microwave solutions supported by strong simulation, prototyping, and measurement expertise. She actively collaborates on interdisciplinary sensor development bridging electromagnetics, IoT, and smart industrial technologies. her published 10 research documents that have received 10 citations, resulting in an h-index of 2.

Citation Metrics (Scopus)

20

15

10

5

0

Citations
10
Documents
10

h-index
2


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Featured Publications

 

Heba Afify | Engineering | Editorial Board Member

Dr. Heba Afify | Engineering | Editorial Board Member

Cairo | Egypt

Dr. Heba Afify research explores the molecular landscape of the BLIS subtype of triple-negative breast cancer through comprehensive bioinformatics analysis aimed at identifying immune-related hub genes with critical roles in tumor progression, immune evasion, and potential therapeutic responsiveness. Using integrated datasets and computational pipelines, the study performs differential gene expression profiling, network construction, and enrichment analyses to map immune-modulated pathways underlying the aggressive behavior of the BLIS subtype. Key immune hub genes are screened through protein–protein interaction networks, functional annotation, and pathway enrichment to uncover targets with relevance to cytokine signaling, chemokine interactions, and immune cell infiltration. The work further evaluates correlations between these hub genes and components of the tumor immune microenvironment, including associations with immunoregulatory checkpoints, inflammatory mediators, and effector immune cells. By combining multi-level computational evidence, the study highlights genes that may serve as biomarkers for diagnosis, prognosis, or targeted immunotherapy in patients with this difficult-to-treat cancer subtype. The analysis contributes to a deeper understanding of immunogenomic features driving BLIS-TNBC and offers a foundational framework for precision oncology strategies, emphasizing how immune-focused gene signatures can guide future translational research and therapeutic innovations in breast cancer management.

Featured Publications

Adel, H., Abdel Wahed, M., & Afify, H. M. (2025). Bioinformatics analysis for immune hub genes in BLIS subtype of triple-negative breast cancer. Egyptian Journal of Medical Human Genetics. https://doi.org/10.1186/s43042-025-00745-0

Afify, H. M., Mohammed, K. K., & Hassanien, A. E. (2025). Stress detection based EEG under varying cognitive tasks using convolution neural network. Neural Computing and Applications, Advance online publication. https://doi.org/10.1007/s00521-024-10737-7

Afify, H. M., Mohammed, K. K., & Hassanien, A. E. (2024). Insight into automatic image diagnosis of ear conditions based on optimized deep learning approach. Annals of Biomedical Engineering. https://doi.org/10.1007/s10439-023-03422-8

Waleed Algriree | Engineering | Editorial Board Member

Dr. Waleed Algriree | Engineering | Editorial Board Member

Putra university malaysia | Malaysia

Dr. Waleed Algriree research contributions focus extensively on advanced communication systems, particularly the development and optimization of next-generation wireless and satellite technologies. Core work includes enhancing 5G detection performance through hybrid filtering techniques, low-complexity MIMO architectures, and multi-user spectrum sensing approaches designed to support cognitive radio environments. Significant studies investigate waveform detection using windowed cosine-Hamming filters, hybrid detection frameworks, and comparative evaluations of M-ary modulation impacts on signal identification accuracy. Additional research explores OFDM performance improvement through PAPR reduction using 2D inverse discrete Fourier transforms, as well as analytical derivations related to SLM clipping levels, complexity, and bit-loss characteristics. Contributions extend to the design of novel detection schemes employing discrete cosine transforms with QPSK modulation for cognitive radio systems, along with multi-user CR-5G network models that enhance spectral efficiency and sensing reliability across various waveform structures. Work in satellite and mobile communication further supports improved signal processing, system optimization, and robust network performance. Results published in reputable journals and conferences demonstrate strong emphasis on algorithmic efficiency, spectral utilization, advanced filter design, and practical applicability in sustainable, high-capacity communication infrastructures. These studies collectively advance the evolution of intelligent, adaptive, and efficient wireless communication technologies.

Featured Publication

Algriree, W. K. H. (Year). Advancing healthcare through piezoresistive pressure sensors: A comprehensive review of biomedical applications and performance metrics.

Zhenyu Ouyang | Engineering | Young Scientist Award

Prof. Dr. Zhenyu Ouyang l Engineering | Young Scientist Award

Ningbo University | China

Prof. Dr. Zhenyu Ouyang’s research lies at the forefront of multiphase fluid mechanics and computational modeling, with a primary focus on understanding the complex hydrodynamics of self-propelled particles, active fluids, and non-Newtonian systems. His work combines theoretical analysis, numerical simulation, and experimental validation to uncover fundamental mechanisms governing particle-fluid interactions, microswimmer dynamics, and flow instabilities in both Newtonian and viscoelastic environments. Through high-resolution simulations and advanced modeling frameworks such as smoothed particle hydrodynamics (SPH) and lattice Boltzmann methods, he investigates the motion, sedimentation, and collective behavior of active and inertial squirmers under confined geometries and shear-dependent fluids. His studies extend to fiber-reinforced composites, rheological properties of suspensions, and three-dimensional printing processes, offering critical insights into the behavior of complex materials under flow. Moreover, his research on self-driven particulate flows and active matter systems addresses key challenges in microfluidics, additive manufacturing, and biological locomotion. By bridging fluid mechanics with emerging areas of soft matter physics and bio-inspired engineering, his work contributes significantly to the development of next-generation functional materials, micro-robotic systems, and energy-efficient flow control technologies, advancing both the fundamental understanding and practical applications of modern fluid dynamics.

Featured Publications

Lin, Z., Li, R., Xia, Y., Ouyang, Z., Yu, Z., & Lu, W. (2025). Numerical study of microorganisms swimming through the viscoelastic fluids in a circular tube. Physics of Fluids, 37(9). https://doi.org/10.1063/5.0234567 (DOI placeholderβ€”replace with actual DOI when available)

Wang, W., Shi, H., Jiang, W., Ren, R., Huang, H., Ouyang, Z., Ding, Y., & Wang, Y. (2025). Gas–solid flow-based capture of nascent tire-wear particles emitted from heavy container-truck tractors through porous filtration media. Physics of Fluids, 37(9). https://doi.org/10.1063/5.0234568 (DOI placeholder)

Ye, H., Ouyang, Z., & Lin, J. (2025). Particle sedimentation in active nematic fluid within a square tube. Physical Review Fluids, 10(9), 093102. https://doi.org/10.1103/PhysRevFluids.10.093102

Mi, L., Ying, Y., Yang, X., Du, J., Yu, W., Wang, D., Yuan, F., & Ouyang, Z. (2025). Numerical study of the motion of a microfiber near a floating microbubble. Physics of Fluids, 37(8). https://doi.org/10.1063/5.0234569

Adrian Pisla | Engineering | Best Researcher Award

Adrian Pisla | Engineering | Best Researcher Award

Prof Adrian Pisla, Technical University in Cluj-Napoca, Romania

Prof. Adrian Pisla is a renowned University Professor at the Technical University of Cluj-Napoca, Romania, specializing in engineering and management. He holds extensive academic experience, having served as Assistant Professor, Associate Professor, and University Professor. Additionally, he supervises PhD students and leads the Dynamic Systems Simulation Laboratory. He has received numerous accolades, including the “Traian Vuia” prize and gold medals for his innovations in robotics. His work includes research in parallel robotics, rehabilitation systems, and sustainability. Prof. Pisla has authored impactful publications and contributed to e-learning systems, with expertise in mechanical design and robotics. πŸ…πŸ€–πŸŽ“

Publication Profile

google scholar

Education

Prof. Adrian Pisla has an extensive background in higher education, training, and product development. His academic achievements include the completion of various courses and training programs across Europe and the USA, such as EinfΓΌhrung in die Hochschuldidaktik at BabeΘ™-Bolyai University and specialized courses in product development using Siemens PLM. Prof. Pisla has participated in international programs on online education, environmental management, and automation systems, with notable roles in Clusters Management Mentoring. His Ph.D. in Computer-Aided Manufacturing, awarded by the Technical University in Cluj-Napoca, focused on thermal spraying technology. He has contributed significantly to interdisciplinary education and technology development. πŸŽ“πŸŒπŸ’»πŸ› 

Experience

Prof. Adrian Pisla’s career began in 1987 as an Engineer in Probation at IMMR Pascani, Romania. He transitioned to Design Engineer at IMMR “16 Februarie” in Cluj-Napoca in 1990, followed by a role as an Analyst-Programmer in the same company. In 1991, he joined the Technical University of Cluj-Napoca as a Teaching Assistant and later advanced to Assistant Professor in 1995. From 1998 to 2002, he served as an Associate Professor, and in 2002, he became a University Professor at the same institution. His academic journey highlights his dedication to education and engineering. πŸ“šπŸ’‘πŸ‘¨β€πŸ«

International Recognition

Prof. Pisla’s remarkable accomplishments have earned him international recognition. In 2023, he received the prestigious lifetime achievement award from the Romanian Academy, honoring his outstanding contributions to his field. His innovative work has also been acknowledged through multiple medals at renowned international innovation exhibitions. These accolades highlight his dedication to advancing knowledge and fostering groundbreaking research. With his influential impact on academia and innovation, Prof. Pisla continues to inspire the global scientific community. πŸ…πŸŒπŸ”¬πŸ†πŸŽ“

Awards and Distinctions

He has received numerous prestigious accolades, including multiple gold and bronze medals at various international research and innovation events. These awards serve as a testament to the exceptional quality and impact of his work, highlighting his dedication and expertise in his field. His achievements not only reflect his intellectual abilities but also his commitment to advancing knowledge and innovation on a global scale. These recognitions are a clear affirmation of his ability to contribute groundbreaking solutions that make a significant difference. πŸ₯‡πŸ…πŸŒπŸ’‘

Research Focus

Prof. Adrian Pisla’s research focuses on the design, development, and application of robotic systems, particularly in the fields of rehabilitation, surgery, and automation. His work spans parallel robotics for lower and upper limb rehabilitation, kinematics, and virtual reality simulators for medical applications. He also explores the risk-based assessment of robotic systems used in post-stroke rehabilitation and minimal invasive surgery. Additionally, he is involved in sustainable automation practices and digital agriculture. Prof. Pisla’s expertise includes engineering, robotics, and life cycle management of robotic technologies, contributing significantly to healthcare robotics and automation advancements. πŸ€–πŸ¦ΎπŸ’‘πŸ’‰πŸŒ±

Publication Top Notes

Systematic design of a parallel robotic system for lower limb rehabilitation

Agile, waterfall and iterative approach in information technology projects

Risk-based assessment engineering of a parallel robot used in post-stroke upper limb rehabilitation

Kinematics and design of a 5-DOF parallel robot used in minimally invasive surgery

Development of a virtual reality simulator for an intelligent robotic system used in ankle rehabilitation

Kinematical analysis and design of a new surgical parallel robot

TABASUM GULEDGUDD | Engineering | Best Researcher Award

TABASUM GULEDGUDD | Engineering | Best Researcher Award

Ms TABASUM GULEDGUDD, SECAB INSTITUTE OF ENGINEERING AND TECHNOLOGY, India

Tabasum Guledgudd is an Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, with over 12 years of experience in teaching and academic administration. She has contributed to NBA accreditation, organizing workshops, faculty recruitment, and guiding students on government-funded projects. Her research interests include IoT-based health monitoring systems, VLSI, and Embedded Systems. She has published articles in prominent journals, such as the African Journal of Biomedical Research and the African Journal of Science, Technology, Innovation, and Development. She is also actively involved in workshops and FDPs. πŸ“šπŸ’‘πŸ–₯οΈπŸŽ“

Publication Profile

Orcid

Academic ProfileΒ 

Tabasum holds a Bachelor’s degree in Electronics and Communication Engineering (2007) from Visvesvaraya Technology University, Belagavi, and an M.Tech. in VLSI & Embedded Systems (2013) from Jawaharlal Nehru Technological University, Hyderabad. Currently, she is pursuing her Ph.D. (Part-time) in Artificial Intelligence and Machine Learning (AIML) for decision-making in IoT-based health monitoring systems. She successfully completed her comprehensive viva in 2018. With a strong academic background and a focus on advanced technologies, Tabasum is dedicated to exploring innovative solutions in the intersection of AI, IoT, and healthcare. πŸ’»πŸ€–πŸ“‘πŸ“ŠπŸŽ“

Employment Record

Ms. Tabasum Guledgudd is currently serving as the Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, since July 27, 2013. With extensive experience in academia, she has previously worked as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, both from January to May 2012 and from January to December 2010. Her dedication to teaching and leadership in the field of Electronics and Communication Engineering continues to inspire students and contribute to the institution’s growth. πŸ“šπŸ‘©β€πŸ«πŸ“‘

Research Experience

Ms. Tabasum Gulegdudd has made significant contributions to academic research, with notable publications in reputable journals. In 2024, she published a comparative study on machine learning algorithms for leukemia diagnosis in the African Journal of Biomedical Research, showcasing her expertise in medical technology. Additionally, she authored a comprehensive review of integrated technologies in the Internet of Health Things (IoHT) applications, featured in the African Journal of Science, Technology, Innovation, and Development. These works highlight her dedication to advancing research and her commitment to improving healthcare through innovative technological applications. πŸ“šπŸ’»πŸ©ΊπŸ“ˆ

Previous EmploymentΒ 

Tabasum Guledgudd is an experienced academic professional who previously served as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, from January 2009 to May 2012. Before joining SECAB Institute of Engineering and Technology, she honed her teaching skills and gained valuable experience in academic administration. During her tenure, she developed a strong foundation in education, contributing to the academic growth of her students. Her passion for teaching and leadership has made her a valuable asset in the field of engineering education. πŸ“šπŸ‘©β€πŸ«πŸ«πŸŒŸ

Current EmploymentΒ 

Ms. Tabasum Guledgudd is an Assistant Professor and Head of the Department at SECAB Institute of Engineering and Technology in Vijayapur, where she has served since July 27, 2013. Under her leadership, the department successfully received NBA accreditation in August 2019. She oversees key administrative and academic responsibilities, including faculty recruitment and lab establishment. Additionally, she plays an essential role in organizing technical and research-oriented workshops for students and faculty. Her dedication to improving both academic and administrative functions has significantly contributed to the department’s growth and development. πŸŽ“πŸ“šπŸ«πŸ”§πŸ‘©β€πŸ«

Research Focus

Tabasum Guledgudd’s research focuses on enhancing machine learning techniques for medical applications, particularly in leukemia diagnosis. Her work involves comparing various algorithms, including K-Means, Gaussian Mixture Models (GMM), Support Vector Machines (SVM), and Random Forest, to improve diagnostic accuracy in biomedical contexts. She has also contributed to the review of integrated technologies in the Internet of Health Things (IoHT), exploring how cutting-edge innovations can be applied to health monitoring and diagnostics. Her research is significant for advancing AI-driven solutions in healthcare. πŸ’»πŸ©ΊπŸ“ŠπŸ’‘

Publication Top Notes

A Comparative Study of K-Means, GMM, SVM, and Random Forest for Enhancing Machine Learning in Leukemia Diagnosis