Shambhavi Sinha | Engineering | Research Excellence Award

Published-on by Indian Scientist

Ms. Shambhavi Sinha | Engineering | Research Excellence Award

NIT Karnataka | India

Shambhavi Sinha is a geotechnical engineering researcher specializing in soil and rock mechanics, mining geomechanics, and sustainable construction materials. With advanced training in geotechnical engineering, she has academic teaching experience and strong exposure to experimental investigations, numerical analysis, and field-oriented engineering studies. Her research integrates soil reinforcement techniques, slope stability, and data-driven approaches, reflected in peer-reviewed journals, conferences, and book chapters. She actively contributes to interdisciplinary geotechnical research aimed at practical and sustainable engineering solutions.

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Featured Publications

Kumar, M., Avchar, A., Sinha, S., & Swamy, S. V. (2026). Integrated approaches for pillar design and stability assessment in underground hard rock mining: From empirical models to machine learning. Physics and Chemistry of the Earth, Parts A/B/C. https://doi.org/10.1016/j.pce.2025.104235

Sinha, S., Tripathi, A. K., Avchar, A., & Kumar, M. (2025). Influence of angle of internal friction and slope face angle on kinematic failures in marble mines: A predictive approach. Indian Geotechnical Journal. https://doi.org/10.1007/s40098-025-01255-x

Pannirselvam Narayanan | Civil Engineering | Best Researcher Award

Published-on by Indian Scientist

Dr. Pannirselvam Narayanan | Civil Engineering | Best Researcher Award

SRMIST | India

N. Pannirselvam is an accomplished academic and researcher in the field of Civil Engineering with a strong focus on structural and construction engineering. He holds advanced qualifications spanning civil engineering, construction technology, structural engineering, computer applications, and real estate valuation, reflecting a multidisciplinary academic foundation. His professional career includes extensive experience across reputed universities and engineering institutions, where he has served in academic leadership, teaching, and research-oriented roles, as well as earlier industry experience as a senior design engineer. His academic expertise encompasses advanced construction practices, structural analysis and design, project management, and real estate valuation, enabling a strong integration of theory with practical application. His research interests primarily include structural engineering, advanced construction technology, sustainable construction practices, infrastructure development, and valuation studies related to the built environment. He has contributed to academic growth through teaching, mentoring, curriculum development, and scholarly activities, including research publications and technical contributions. In recognition of his academic and professional contributions, he has received institutional appreciation and professional acknowledgements within the engineering education ecosystem. Overall, his career reflects a sustained commitment to excellence in civil engineering education, research advancement, and the development of industry-relevant engineering solutions that support sustainable infrastructure growth.

Citation Metrics (Scopus)

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Citations
383

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Featured Publications


Experimental and Predictive Modeling of GF and FA Modified Concrete for Enhanced Strength and Sustainability


– Innovative Infrastructure Solutions · Article · Open Access · Cited by 0


Experimental and Finite Element Analyses of Monolithic 3D Cuffs Connected with Pultruded Box Sections


– International Journal of Civil Engineering · Article · Cited by 0
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Vivek Kumar | Engineering | Outstanding Contribution Award

Published-on by Indian Scientist

Dr. Vivek Kumar | Engineering | Outstanding Contribution Award

IIT Delhi | India

Vivek Kumar is a distinguished researcher and Senior Project Scientist at a premier Indian Institute of Technology, specializing in mechanical engineering with a focus on computational solid mechanics, explicit dynamics, and impact and blast research. He holds advanced degrees in mechanical engineering and CAD/CAM, and his professional journey spans both academia and industry, contributing to experimental and computational studies on protective structures, composite and cellular materials, and high-strain-rate material behavior. His expertise includes developing high-fidelity finite element models, conducting experimental validations, and investigating ballistic and blast mitigation mechanisms. He has led projects on anti-mine footwear, UHMWPE composites, and sandwich structures, combining simulation with laboratory testing for enhanced safety solutions. His research interests encompass impact and blast mechanics, crashworthiness, injury biomechanics, explicit dynamics simulations, and protective systems for defense and human safety applications. Vivek has authored several influential publications in high-impact journals and presented his work at international conferences. He has also contributed to patentable innovations and guided young researchers in advanced simulation techniques. Recognized for his technical excellence and innovative contributions, he continues to advance the understanding of protective materials and structures, blending experimental insights with computational modeling to create resilient and efficient solutions in defense and engineering applications.

Citation Metrics (Scopus)

20
15
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Citations
19

Documents
7

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Featured Publications


Effect of Curvature on Dynamic Response of Dyneema Composite Panel Under Extreme Loading: A Numerical Study


– ASME Aerospace Structures, Structural Dynamics and Materials Conference · Con

Namrata Bist | Engineering | Best Researcher Award

Published-on by Indian Scientist

Dr. Namrata Bist | Engineering | Best Researcher Award

Pandit Deendayal Energy University | India

Dr. Namrata Bist is an accomplished energy engineering researcher and Assistant Professor in the Department of Petroleum Engineering at Pandit Deendayal Energy University (PDEU), Gandhinagar. With a Ph.D. focused on sustainable energy systems, she has developed strong expertise in geothermal energy, CO₂–EOR, hydrogen blending, carbon storage, reservoir modeling, and machine learning applications in subsurface engineering. Dr. Bist has authored more than 40 high-impact publications in reputed international journals and conferences, reflecting her commitment to advancing clean and efficient energy technologies. She has played key roles as PI, Co-PI, and Project Coordinator in several prestigious research projects funded by the Government of Gujarat, MNRE, Shell Energy India, and U.S.-based Project Inner Space, bridging academic insights with industrial relevance. Her research interests include hybrid renewable energy systems, sustainable reservoir engineering, and AI-driven optimization in energy production. She actively mentors B.Tech and M.Tech scholars, fostering innovation and scientific thinking among young engineers. Recognized for her strong academic contributions, interdisciplinary collaborations, and forward-looking vision, Dr. Bist continues to contribute significantly to India’s clean energy transition and global engineering research community.

Citation Metrics (Google Scholar)

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i10-index
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 h-index 12

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View Google Scholar Profile

Featured Publications

Padmini Sankaramurthy | Energy | Research Excellence Award

Published-on by Indian Scientist

Dr. Padmini Sankaramurthy | Energy | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. S. Padmini is an accomplished academic and researcher with a strong foundation in Electrical and Electronics Engineering, advanced training in Power Systems Engineering, and doctoral work centered on intelligent algorithms for hydrothermal scheduling, further strengthened by an ongoing postdoctoral fellowship in multidisciplinary AI applications. With extensive teaching and research experience in a premier institution, she has contributed significantly to curriculum development, research supervision, academic leadership, and large-scale institutional activities. Her scholarly output includes publications indexed in major databases, patents, major project proposals, international collaborations, and diverse technical contributions across intelligent systems, power systems optimization, energy economics, and AI-driven engineering solutions. She has delivered numerous courses, created substantial digital learning resources, and guided students at multiple academic levels. Her research has earned citations totalling 341, along with an h-index of 10 and an i10-index of 10, demonstrating meaningful global impact. She is recognized for excellence through multiple awards, including distinguished scientific honours, innovation-driven recognitions, and accolades for academic contributions. Her ongoing collaborations across global universities reflect her commitment to advancing multidisciplinary research. Dr. Padmini’s work continues to integrate engineering intelligence, sustainable energy solutions, and advanced computational methods to support emerging technological needs and societal progress.

Profiles: Google Scholar | Orcid | Scopus

Featured Publication

Jeevadason, A. W., Padmini, S., Bharatiraja, C., & Kabeel, A. E. (2022). A review on diverse combinations and Energy-Exergy-Economics (3E) of hybrid solar still desalination. Desalination, 527, 115587.

Rebecca, B., Kumar, K. P. M., Padmini, S., Srivastava, B. K., Halder, S., & Boopathi, S. (2024). Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery. In Handbook of Research on AI and ML for Intelligent Machines and Systems (pp. 348–373).

Venkatesh, B., Sankaramurthy, P., Chokkalingam, B., & Mihet-Popa, L. (2022). Managing the demand in a micro grid based on load shifting with controllable devices using hybrid WFS2ACSO technique. Energies, 15(3), 790.

Lakshmi, K., Amaran, S., Subbulakshmi, G., Padmini, S., Joshi, G. P., & Cho, W. (2025). Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images. Scientific Reports, 15(1), 690.

Sankaramurthy, P., Chokkalingam, B., Padmanaban, S., Leonowicz, Z., … Padmini, S. (2019). Rescheduling of generators with pumped hydro storage units to relieve congestion incorporating flower pollination optimization. Energies, 12(8), 1477.

Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Published-on by Indian Scientist

Ms. Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Netaji Subhas University of Technology | India

Priyanka Upadhyay is a researcher in Electrical Engineering with growing contributions in autonomous robotics, intelligent navigation, and control systems. She is pursuing a doctoral degree focused on robust navigation of autonomous robots and holds postgraduate and undergraduate qualifications in Electrical Power Systems and Electrical & Electronics Engineering. Her research record includes publications on hybrid path-planning algorithms, enhanced Bezier-based trajectory modeling, autonomous mobile robot navigation, and control strategies for multi-link manipulators. Her work has gained academic attention, reflected in 16 citations, an h-index of 2, and i10-index of 0, demonstrating steadily increasing scholarly visibility with 8 citations since 2020. She has prior teaching experience as a faculty member in Electrical Engineering and has participated in several conferences, faculty development programs, and short-term courses related to artificial intelligence, optimization, robotics, renewable integration, and power electronics. Her technical expertise is strengthened by hands-on training in tools such as MATLAB and experience in industrial settings. She has earned recognition including a Silver Medal for an NPTEL Robotics certification and reviewer certification from an international robotics journal. Her research interests include electrical machines, robotic navigation, path planning, and intelligent control. She continues to advance her academic profile with a commitment to innovation, learning, and collaborative research.

Profile: Google Scholar

Featured Publications

Upadhyay, P., Rajesh, N., Garg, N., & Singh, A. (2015). Evaluating seed germination monitoring system by application of wireless sensor networks: A survey. In Computational Intelligence in Data Mining—Volume 2: Proceedings of the … (Cited by: 3).

Upadhyay, P., Singh, A., & Garg, N. (2014). Modeling software maintainability and quality assurance in the agile environment. International Journal of Database Theory and Application, 7(3), 83–90. (Cited by: 3).

Singh, P., Upadhyay, P., & Singh, S. K. (2025). Unlocking the economic potential of potato cultivars for mini-tuber production under aeroponic culture. Potato Research, 1–24. (Cited by: 2).

Upadhyay, P., Singh, R., & Rani, A. (2023). Reliable autonomous navigation of mobile robot in unconstrained environment. In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 531–537). IEEE. (Cited by: 2).

Upadhyay, P., Patil, K. U., Kuber, R., Kulkarni, V., & Singh, A. (2014). Evaluation of hypoxic-ischaemic events in preterm neonates using trans cranial ultrasound. International Journal of Healthcare and Biomedical Research, 3, 67–72. (Cited by: 2).

Amar Deep Maurya | Civil Engineering | Research Excellence Award

Published-on by Indian Scientist

Mr. Amar Deep Maurya | Civil Engineering | Research Excellence Award

Rajkiya Engineering College Mainpuri | India

Amar Deep Maurya is a researcher in civil engineering with contributions in sustainable construction materials, structural optimization, and innovative testing methods. His academic background includes a bachelor’s degree in civil engineering with strong engagement in interdisciplinary learning across environmental sciences and digital design tools. He has gained practical experience through engineering internships focused on road estimation, planning, sustainability, and environmental assessment. His research centers on waste-derived construction materials, particularly the statistical modeling and optimization of waste-glass-based paver blocks using Response Surface Methodology, which demonstrated marked improvements in strength and durability while reducing environmental impact. He has also contributed to the development of advanced mortar testing methods and has completed multiple design-based projects in AutoCAD and 3D modeling. His scholarly output includes research and review articles with measurable impact metrics such as h-index, citation count, and document contributions as reflected through academic indexing platforms. His publications explore areas including sustainable paver blocks, RSM-based prediction models, and self-healing concrete. Recognized for academic excellence, he secured a technical poster award and additional certifications enhancing his professional competence. Overall, his work reflects a commitment to sustainable engineering innovations and practical solutions for future-ready civil infrastructure.

Profile: Scopus

Featured Publication

Statistical modeling and optimization of waste glass-based paver block properties. (2025). Next Materials.

Rita Patle | Agricultural Engineering | Research Excellence Award

Published-on by Indian Scientist

Dr. Rita Patle | Agricultural Engineering | Research Excellence Award

ICAR – Central Institute of Agricultural Engineering | India

Dr. Rita Patle is an agricultural engineer specializing in Farm Machinery and Power Engineering with advanced expertise in precision agriculture and automation. She earned her B.Tech in Agricultural Engineering and M.Tech in Farm Machinery & Power, followed by a Ph.D. focusing on the design of an autonomous site-specific variable rate fertilizer applicator. Over her career she has served as Assistant Professor, Senior Research Fellow, and Research Associate at leading agricultural-engineering institutes, and contributed to both teaching and R&D. Her research interests center on precision farming, sensor-based variable-rate fertilizer application, farm mechanization, and integration of AI and embedded systems for smart agriculture. She is recognized for her innovative contributions — she holds a design patent for an autonomous variable-rate fertilizer applicator, and has registered the software program controlling it. Her work has earned national-level awards and best-paper recognitions. Through peer-reviewed journal articles, technical bulletins and conference publications, she has helped advance sustainable mechanization in Indian agriculture. Her commitment to bridging academic research, practical engineering solutions and agricultural productivity underscores her goal to address real-world farming challenges and support agricultural growth for the nation.

Profile: Orcid

Featured Publications

Patle, R., Kavitha, R., Surendrakumar, A., Sahni, R. K., Suthakar, B., Kannan, B., & Maragatham, S. (2025). Development of a sensor-based embedded system for on-the-go variable-rate fertilizer applicator in maize crop. Results in Engineering, 28, 107852. https://doi.org/10.1016/j.rineng.2025.107852

Patle, R., Kavitha, R., Surendrakumar, A., Balaji, K., Maragatham, S., & Suthakar, B. (2023). Estimation of sensor-based site-specific variable rate fertilizer application for maize (Zea mays L.) crop. Journal of Applied and Natural Science, 15(3), 1109–1118. https://doi.org/10.31018/jans.v15i3.4724

Patle, R. (2024). Variable rate fertilizer applicator (Software registration No. SW-18483/2024).

Patle, R. (2023). Autonomous variable rate fertilizer applicator (Patent filed at The Patent Office, India).

Sivakamasundari | Computer Science | Best Researcher Award

Published-on by Indian Scientist

Ms. Sivakamasundari | Computer Science | Best Researcher Award

SRM Institute of Science and Technology | India

Ms. P. Sivakamasundari is a dedicated academic and researcher in Computer Science and Engineering, recognized for her contributions to deep learning-based medical image analysis. With qualifications spanning Diploma, Bachelor’s, and Master’s degrees in Computer Science and Engineering, she is currently pursuing her Ph.D. at SRM Institute of Science and Technology. She has extensive teaching experience as an Assistant Professor for more than a decade, during which she has guided students in core computing subjects including algorithms, computation theory, compiler design, and image classification. Her research focuses on advanced deep learning frameworks for healthcare applications, particularly diabetic retinopathy and diabetic foot ulcer detection, resulting in book chapters, conference publications, and journal manuscripts under review. She has published and filed patents related to medical imaging and automated disease detection systems, demonstrating her innovation-driven approach. Her scholarly presence includes 1 citation, 1 h-index, and 0 i10-index, indicating emerging research visibility. She has completed multiple professional certifications and participated in workshops, FDPs, and internships in machine learning, biometrics, accelerated computing, and high-performance healthcare analytics. Her work reflects strong commitment toward applying AI for societal benefit, and she continues to advance her expertise through active research and academic contributions.

Profile: Google Scholar

Featured Publications

Sivakamasundari, P., Anandhi, S., Kumaran, A. A., Vijayakumar, K., Birnica, Y. J., & others. (2024). Early detection of glaucoma utilizing retinal nerve fiber layer (RNFL) investigation. International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems.

Sivakamasundari, P., & Niranjana, G. (2025). An automatic detection and classification of diabetic foot ulcers using Chebyshev chaotic ladybug beetle optimized extended Swin Transformer–InceptionV3 model. Biomedical Signal Processing and Control, 110, 108268.

Gomathi, G., Sumathy, V., Sivakamasundari, P., & Deepa, R. (2024). A various approaches of machine learning algorithms for kidney disease prediction. International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems.

Sivakamasundari, P., & Niranjana, G. (2024). Diabetic foot ulcer classification using deep learning approach. International Conference on Computer, Communication and Signal Processing (ICCCSP).

Sivakamasundari, P., & Niranjana, G. (2023). A critique on deep learning methodologies employed for the identification of diabetic retinopathy using fundus images. Intelligent Computing and Control for Engineering and Business Systems (ICCEBS).

Aritra Acharyya | Engineering | Best Researcher Award

Published-on by Indian Scientist

Dr. Aritra Acharyya | Engineering | Best Researcher Award

Kalyani Government Engineering College | India

Dr. Aritra Acharyya is a distinguished researcher in Electronics and Communication Engineering, recognized for impactful contributions to millimeter-wave and terahertz solid-state devices. He holds advanced degrees in Radio Physics and Electronics, with top academic rankings, followed by extensive experience as an Assistant Professor in government engineering institutions where he has led academic, research, and national-level satellite-based learning initiatives. His research specializes in IMPATT diodes, optical control of high-frequency semiconductor devices, graphene nanoribbon transport phenomena, RF and microwave engineering, UV sensor modeling, and applied signal and image processing. He has authored numerous research documents, accumulating an h-index of 9, over 350 citations, and more than 45 indexed publications, reflecting his steady contribution to high-impact scientific literature. Dr. Acharyya has coordinated multiple national programmes in collaboration with space and remote sensing agencies and completed a wide range of advanced faculty development programmes in microelectronics, antenna systems, GNSS, VLSI, AI, and quantum technologies. His achievements include prestigious academic and professional awards from leading scientific bodies, along with recognition for excellence in scholarly publications and technical education. His work continues to strengthen innovation in high-frequency semiconductor device engineering and inspire emerging researchers in advanced communication technologies.

Profile: Google Scholar | Orcid

Featured Publications

Acharyya, A., & Banerjee, J. P. (n.d.). Prospects of IMPATT devices based on wide bandgap semiconductors as potential terahertz sources. Applied Nanoscience, 4(1), 1–14.

Acharyya, A., & Banerjee, J. P. (n.d.). Potentiality of IMPATT devices as terahertz source: An avalanche response time-based approach to determine the upper cut-off frequency limits. IETE Journal of Research, 59(2), 118–127.

Biswas, A., Sinha, S., Acharyya, A., Banerjee, A., Pal, S., Satoh, H., & Inokawa, H. (n.d.). 1.0 THz GaN IMPATT source: Effect of parasitic series resistance. Journal of Infrared, Millimeter, and Terahertz Waves, 39(10), 954–974.

Acharyya, A., Banerjee, S., & Banerjee, J. P. (n.d.). Effect of junction temperature on the large-signal properties of a 94 GHz silicon based double-drift region impact avalanche transit time device. Journal of Semiconductors, 34(2), 024001.

Acharyya, A., Banerjee, S., & Banerjee, J. P. (n.d.). Influence of skin effect on the series resistance of millimeter-wave IMPATT devices. Journal of Computational Electronics, 12(3), 511–525.