Amit Sain | Transportation Engineering | Best Researcher Award

Published-on by Indian Scientist

Mr. Amit Sain | Transportation Engineering | Best Researcher Award

Malaviya National Institute of Technology Jaipur, India

Mr. Amit Sain is a dedicated civil engineering researcher specializing in transportation engineering and sustainable infrastructure. He holds advanced academic training in civil and transportation engineering and is pursuing doctoral research focused on pavement performance and finite element analysis. With strong expertise in modelling, statistical analysis, and sustainable materials, he has contributed to numerous high-impact publications and patents. His work emphasizes innovative solutions using bamboo, nanomaterials, and decision-making techniques. Recognized with a Best Paper Award, he continues to advance research that promotes sustainable and resilient infrastructure development.

Citation Metrics (Scopus)

80
60
40
20
0

Citations
69

Documents
22

h-index
5

Citations

Documents

h-index

Featured Publications


Optimization of highway performance and safety by integrated multi-criteria decision-making techniques


– International Journal of Pavement Research and Technology (Cited by 15 · Year: 2026)


Enhancing thermal behaviour of concrete pavement by incorporating vermiculite


– Materials Today: Proceedings (Cited by 14 · Year: 2023)


Treatment of bamboo for sustainable construction practise: A comprehensive review


– IOP Conference Series: Earth and Environmental Science (Cited by 11 · Year: 2024)

Adarsh Bharti | Fatigue and Fracture | Research Excellence Award

Published-on by Indian Scientist

Mr. Adarsh Bharti | Fatigue and Fracture | Research Excellence Award

Indian Institute of Technology Jodhpur, India

Mr. Adarsh Bharti is a dedicated researcher in materials engineering at Indian Institute of Technology Jodhpur, specializing in the mechanical behaviour of materials and structure–property correlations. He holds a Ph.D. and M.Tech. in Materials Engineering and a B.Tech. in Mechanical Engineering. His work focuses on low-cycle and multiaxial fatigue, cyclic plasticity, and advanced microstructural characterization. He has published in reputed international journals and received recognition for technical and poster presentations. His research advances understanding of fatigue mechanisms in FCC alloys.

Research Metrics (Scopus)

12
9
6
3
0

Citations
11

Documents
4

h-index
2

Citations

Documents

h-index

Featured Publications


Deformation response and microstructure evolution in 304LN stainless steel subjected to multiaxial fatigue loading under different strain paths

A Bharti, S Sivaprasad, S Tarafder, A Bhattacharyya –
International Journal of Pressure Vessels and Piping
Cited by: 6 · Year: 2025


Effect of strain amplitude on low-cycle fatigue behavior of an alpha Cu-Zn alloy

A Bharti, H Maharaja, S Mishra, S Sivaprasad, A Bhattacharyya –
Materials Today Communications
Cited by: 3 · Year: 2025


Effect of strain amplitude on low-cycle fatigue deformation behavior of a Cu-Ni alloy

A Bharti, H Maharaja, S Sivaprasad, S Mishra, A Bhattacharyya –
Materials Science and Engineering: A
Cited by: 2 · Year: 2025


Comparison of in-phase and 90° out-of-phase multiaxial low-cycle fatigue behavior of a Cu-Ni alloy

A Bharti, H Maharaja, S Mishra, A Bhattacharyya –
Materials Today Communications
Year: 2025

Siva Surya Mulugundam | Mechanical Engineering | Research Excellence Award

Published-on by Indian Scientist

Dr. Siva Surya Mulugundam | Mechanical Engineering | Research Excellence Award

GITAM University, Hyderabad, India

Dr. Siva Surya M is an accomplished researcher and Assistant Professor in Mechanical Engineering with expertise in manufacturing, composites, and additive manufacturing. He holds advanced degrees in Mechanical and Manufacturing Engineering and has contributed to cutting-edge research in powder metallurgy, functionally graded materials, tribology, and AI-driven optimization. With extensive publications, patents, and collaborative projects with DRDO, his work bridges experimental and computational techniques. Recognized for excellence in research, he actively contributes to academia and industry, fostering innovation and sustainable engineering solutions.

Research Metrics (Scopus)

610
600
40
30
20
0

Citations
606

Documents
36

h-index
16

Citations

Documents

h-index

Featured Publications


Tribological behaviour of aluminum silicon carbide functionally graded material


– Tribology in Industry · 40(2), 2018 · 41 Citations

Rohini Kale | Civil Engineering | Research Excellence Award

Published-on by Indian Scientist

Dr. Rohini Kale | Civil Engineering | Research Excellence Award

Medicaps University Indore, India

Dr. Rohini Chhatrapati Kale is an accomplished academic and researcher in Civil Engineering with specialization in Geotechnical and Geoenvironmental Engineering. Educated at premier national institutions, she has extensive experience in teaching, consultancy, and doctoral research. Her research focuses on sustainable construction materials, bentonite behavior, geoenvironmental applications, waste utilization, biochar, and machine learning in geotechnics. She has published widely in high-impact journals, holds a patent, received multiple national research awards, and actively contributes to academic leadership and research mentoring.

Citation Metrics (Google Scholar)

180
160
80
5
0

Citations
160

h-index
5

i10-index
4

Citations

h-index

i10-index

Featured Publications


A review on the impact of thermal history on compacted bentonite in the context of nuclear waste management


– Environmental Technology & Innovation (Elsevier) · Review Article · Cited by 58


Influence of thermal loading on index and physicochemical properties of Barmer bentonite


– Applied Clay Science (Elsevier) · Research Article · Cited by 45


Influence of thermal history on swell pressures of compacted bentonite


– Process Safety and Environmental Protection (Elsevier) · Research Article · Cited by 29


Response of compacted bentonite to hyperalkalinity and thermal history


– Scientific Reports (Nature) · Open Access · Cited by 14


Influence of thermal gradient and canister corrosion on the hydration of compacted Barmer bentonite


– Annals of Nuclear Energy (Elsevier) · Research Article · Cited by 5

Muhamed Safeer Pandikkadavath | Engineering | Research Excellence Award

Published-on by Indian Scientist

Dr. Muhamed Safeer Pandikkadavath | Engineering | Research Excellence Award

NIT Calicut | India

Muhamed Safeer Pandikkadavath is an Assistant Professor in Civil Engineering at a premier national institute, with advanced training in structural engineering from leading institutions. He has academic and research experience spanning teaching, funded research, and professional practice. His research focuses on seismic performance of steel and reinforced concrete structures, buckling-restrained braces, bridge vulnerability, and machine learning applications in earthquake engineering. He has received national-level competitive recognitions, research grants, and best paper awards, contributing significantly to resilient infrastructure development.

Citation Metrics (Scopus)

300
200
100
30
20
10
0

Citations
297

Documents
29

h-index
9

Citations

Documents

h-index

Featured Publications


Near-fault seismic vulnerability assessment of corrosion inflicted steel moment resisting frames


– Journal of Constructional Steel Research · Article · Cited by 7

Citation counts may vary by indexing database; access depends on publisher policy.

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)

400
300
100
50
10
0

Citations
383

Documents
69

h-index
11

Citations

Documents

h-index

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
Full text availability depends on publisher access

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)

1500
1000
500
50
0

Citations
961
i10-index
51

 h-index 12

Citations

i10-index

h-index


View Google Scholar Profile

Featured Publications

Rounak Raman | Information Technology | Research Excellence Award

Published-on by Indian Scientist

Mr. Rounak Raman | Information Technology | Research Excellence Award

Netaji Subhas University of Technology | India

Rounak Raman is a technology researcher and engineering innovator with a strong academic background in Information Technology and a multidisciplinary portfolio spanning artificial intelligence, machine learning, generative AI, computer vision, IoT systems, wireless sensor networks, and network security. He has gained significant research and development experience through contributions at DRDO-INMAS, where he worked on EEG-based cognitive analytics and neurofeedback systems, and at NSUT, where he designed advanced IoT protocols including energy-aware clustering, trust-based opportunistic communication, and secure hierarchical key-rotation mechanisms. His technical work extends into generative AI solutions, semantic search systems, real-time computer vision applications, and large-scale image and document intelligence models. He has led impactful projects such as PRAGATI smart parking, SyntheX document analysis framework, and QuickTag for AI-driven product taxonomy. His achievements include securing positions in national innovation challenges, hackathons, entrepreneurship competitions, and international fellowship programs. Alongside industry-recognized certifications in data science, system design, and cybersecurity, he has also held leadership roles in student organizations, mentoring teams, guiding open-source contributions, and facilitating research collaboration. His research interests include GenAI, NLP, IoT security, WSNs, cryptography, edge intelligence, and autonomous network optimization. He remains committed to creating scalable, socially impactful technological solutions.

Profiles: Google Scholar

Featured Publication

Raman, R., Yadav, A., Kukreja, D., & Sharma, D. K. (2025). CONTEXT-NET: A context-aware nexus-based aggregation protocol for opportunistic networks. Internet of Things, 101809.

Raman, R., Yadav, A., & Kukreja, D. (2025). ARMor-IoT: Aggregated reliable mechanism for optimized trust in IoT. In International Conference on Artificial Intelligence and Its Application (pp. 229–241).

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).