Anantpreet Kaur | Botany | Best Researcher Award

Ms. Anantpreet Kaur | Botany | Best Researcher Award

DAV University, Jalandhar | India

Dr. Anantpreet Kaur is a dedicated researcher and scholar in the field of Botany, focusing on the bioactive potential of underexplored medicinal plants. She holds advanced degrees in Botany, where her research emphasized the evaluation of antioxidant, antidiabetic, antimicrobial, and cytotoxic activities of plant extracts, with a particular focus on Strobilanthes attenuata. Her doctoral research involves comprehensive phytochemical analysis, GC–MS profiling, and in vitro pharmacological studies aimed at exploring plant-based therapeutic applications. Dr. Kaur has presented her findings at national and international conferences and has contributed significantly to peer-reviewed journals, covering topics such as plant bioactivity, climate sustainability, marine microplastics, and biofuel production. Her technical expertise spans ELISA, spectrophotometry, chromatography, microbial assays, and statistical analysis using software tools like SPSS and GraphPad Prism. She actively engages in workshops, training programs, and intellectual forums to stay abreast of advances in plant science, pharmacology, and sustainable development. Dr. Kaur’s work has been recognized for its contribution to ethnobotany, phytochemistry, and environmental awareness. Her research continues to bridge traditional knowledge and modern science, emphasizing the development of plant-based solutions for health and ecological challenges, positioning her as an emerging leader in botanical research.

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Featured Publications

Kaur, A. (2025). Macroalgae-based biofuel production: Advances in cultivation, conversion pathways and techno-economic perspectives. Next Research, 2(4), 1–13. https://doi.org/10.1016/j.nexres.2025.101067

Kaur, A., Walia, H., Kumar, A., & Khosla, S. (2025). Strobilanthes attenuata stem extract as a promising source for antioxidant and anticancer activity. Journal of Herbs, Spices & Medicinal Plants. https://doi.org/10.1080/10496475.2025.2555330

Kaur, A., Sondhi, N., & Sethi, S. (2024). Isolation of a pure compound using column chromatography and antioxidative potential of Azadirachta indica leaves. In Applied Research in Physical & Chemical Sciences and Engineering. MKSES Publication, Lucknow, UP. https://doi.org/10.5281/zenodo.13208123

Khosla, S., Sood, N., Sanya, Bhatia, N., Sharma, A., & Kaur, A. (2024). Journey of Indian Space Organisation (ISRO). In R. C. Sobti (Ed.), Role of Science and Technology for Sustainable Future (pp. 515–527). Springer, Singapore. https://doi.org/10.1007/978-981-97-5177-8_28

Sondhi, N., Kaur, A., & Walia, H. (2022). Pharmacological activities of Urtica dioica: A critical review. In Trends and Innovations in Humanities Management, Commerce, Science and Technology (pp. 303–309). https://doi.org/10.5281/zenodo.7676149

Priyanka Upadhyay | Robust Navigation | Best Researcher Award

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.

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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).

Sivakamasundari | Computer Science | Best Researcher Award

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.

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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).

Riya Mukherjee | Meta Research | Best Researcher Award

Ms. Riya Mukherjee | Meta Research | Best Researcher Award

Chang Gung University | India

Dr. Riya Mukherjee is a passionate and emerging researcher in biomedical sciences whose scholarly work integrates biotechnology, nanomedicine, and regenerative therapies. Her research primarily focuses on exosome-based therapeutic strategies for osteoarthritis, antimicrobial resistance, and tissue regeneration. She has authored multiple impactful publications, with a total of over 1,500 citations, h-index of 8, and approximately 45 documents indexed in global databases. Her notable works include studies on antioxidant assays, nanoparticle-based drug evaluation, and antimicrobial resistance, reflecting strong interdisciplinary expertise. She is currently pursuing her Ph.D. in Biomedical Sciences at Chang Gung University, Taiwan, where she also served as a Project Assistant and research contributor. Her academic background in microbiology from SRM University and Kalyani University strengthens her foundation in molecular and cellular biology. Dr. Mukherjee has presented at numerous international conferences and participated in innovation and entrepreneurship competitions, demonstrating leadership and creativity beyond laboratory research. Her research interests encompass exosome biology, nanotechnology, regenerative medicine, and computational biology. With several high-impact publications and international recognition, she continues to advance translational biomedical research aimed at global health improvement.

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Featured Publications

Baliyan, S., Mukherjee, R., Priyadarshini, A., Vibhuti, A., Gupta, A., Pandey, R. P., et al. (n.d.). Determination of antioxidants by DPPH radical scavenging activity and quantitative phytochemical analysis of Ficus religiosa. Molecules, 27(4), 1326. https://doi.org/10.3390/molecules27041326

Pandey, R. P., Vidic, J., Mukherjee, R., & Chang, C. M. (n.d.). Experimental methods for the biological evaluation of nanoparticle-based drug delivery risks. Pharmaceutics, 15(2), 612. https://doi.org/10.3390/pharmaceutics15020612

Mukherjee, R., Priyadarshini, A., Pandey, R. P., & Raj, V. S. (n.d.). Antimicrobial resistance in Staphylococcus aureus. In Insights into drug resistance in Staphylococcus aureus. IntechOpen.

Pati, P. R., Riya, M., Anjali, P., Gupta, A., Vibhuti, A., Leal, E., Sengupta, U., et al. (n.d.). Potential of nanoparticles encapsulated drugs for possible inhibition of the antimicrobial resistance development. Biomedicine & Pharmacotherapy, 141, 111943. https://doi.org/10.1016/j.biopha.2021.111943

Léguillier, V., Pinamonti, D., Chang, C. M., Mukherjee, R., Cossetini, A., et al. (n.d.). A review and meta-analysis of Staphylococcus aureus prevalence in foods. The Microbe, 4, 100131.

Krishna Pada Das | Biomathematics | Best Researcher Award

Assoc. Prof. Dr. Krishna Pada Das | Biomathematics | Best Researcher Award

Mahadevananda Mahavidyalaya | India

Dr. Krishna Pada Das is an Associate Professor of Mathematics whose research primarily focuses on mathematical biology, especially population dynamics and eco-epidemiological systems. His work explores how infectious diseases interact with ecological food webs, including predator-prey and plankton systems, and how factors such as alternative food, nutrient levels, environmental toxins, diffusion, seasonal effects, and harvesting influence system stability or generate complex behaviors like chaos and oscillation. He employs mathematical modeling through differential equations (ODE, DDE, stochastic systems), fractional calculus, spatio-temporal dynamics, and computational simulation using MATLAB, MAPLE, and MATHEMATICA to analyze stability, bifurcation, and long-term behavior of biological systems. His research has contributed to understanding control strategies for harmful algal blooms, disease propagation in ecosystems, phytoplankton-zooplankton interactions, and tri-trophic food chain dynamics. In recent work, he has also examined epidemic models including COVID-19 and HIV transmission, applying sensitivity analysis, parameter estimation, and optimal control strategies. With an extensive list of research publications in international journals and collaborative studies, his contributions support improved ecological system management, disease control measures, and deeper theoretical insights into nonlinear biological dynamics.

Profile: Google Scholar

Featured Publications

Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing availability. Journal of Applied Microbiology, 102(1), 195–203.

Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio-frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317–322.

Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19–22.

Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.

Deepana G | Engineering | Best Researcher Award

Dr. Deepana G | Engineering | Best Researcher Award

S A Engineering College | India

Dr G. Deepana is an Assistant Professor in Civil Engineering whose research expertise spans ferrocement technology, sustainable concrete composites, waste‐based materials and structural durability. She has earned a PhD in Civil Engineering from Anna University, after completing an M.E. in Structural Engineering and a B.E. in Civil Engineering. With key interest areas including concrete technology, structural materials and design of reinforced concrete elements, she has published in leading peer‐reviewed journals (for example, on structural behaviour of ferrocement wall panels) and numerous conference proceedings. According to Google Scholar she currently holds an h-index of 2 with a total citation count of 11. She has also been granted multiple patents for eco-friendly concrete and brick products, serves as a peer reviewer in esteemed journals, and brings hands-on teaching and laboratory experience in material testing, environmental engineering and structural labs. Recognised for her academic achievements and awards, she actively contributes to teaching, mentoring and research in civil engineering. With adoption of innovative materials, waste-utilisation and durable design as guiding themes, she aims to prepare future engineers for both academic excellence and professional impact.

Profiles: Google Scholar

Featured Publications

Deepana, G. (2019). Synthesis and characterization of silica from Zea mays. International Journal of Engineering Research and Technology, 8(3), 311–316.

Deepana, G., Kamaraj, L., Ganapathi, S., Venkatesh, R., & Amarnath, M. K. (2024). Synthesis and machining characteristics study of agro-waste coconut shell powder incorporated aluminium alloy composite via the squeeze cast technique. International Journal of Cast Metals Research, 37(4–6), 276–286.

Gopal, D., & Shobarajkumar, D. (2024). Comparative study on structural behavior of ferrocement wall panels. Earthquake Engineering & Structural Dynamics, 53(5), 1727–1741.

Vijayaraj, A., Shreya, S., Deepana, G., Senthilvel, P. G., & Jebakumar, R. (2023). Organic and recyclable waste classification using integrated feature selection method. In Proceedings of the 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering. IEEE.

Amarnaath, S., & Deepana, G. (2024). Integrating sustainable development goals into business, marketing, finance and engineering for a better world. In Proceedings of the 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG) (pp. 1–8). IEEE.

SAYANTI BANERJEE | Geotechnical Engineering | Young Scientist Award

Dr. SAYANTI BANERJEE | Geotechnical Engineering | Young Scientist Award

INDIAN INSTITUTE INSTITUTE OF TECHNOLOGY, DELHI, INDIA

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Dr. Sayanti Banerjee began her academic journey with a degree in Civil Engineering from West Bengal University of Technology (WBUT). Her deep interest in geotechnical systems led her to pursue a Master’s in Geotechnical Engineering at NIT Durgapur, followed by a Ph.D. in Geotechnical Engineering at the esteemed Indian Institute of Technology Delhi (IIT Delhi). Her doctoral work focused on the Performance Assessment of Geocell-Reinforced Road Pavement, addressing critical challenges in transportation infrastructure.

🏢 PROFESSIONAL ENDEAVORS

Dr. Banerjee’s career bridges academic instruction and applied research:

  • Assistant Professor at Camellia Institute of Technology, Kolkata, where she taught and mentored undergraduate students in civil engineering.

  • Senior Research Fellow at IIT Delhi, contributing to a project sanctioned by the Research Designs and Standards Organisation (RDSO), focusing on advanced reinforcement strategies for pavements.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON GEOTECHNICAL ENGINEERING

Dr. Banerjee specializes in geosynthetic reinforcement, particularly the use of geocells for enhancing the strength and durability of road pavements. Her research contributions span:

  • Laboratory Investigations on geocell performance under repeated and multi-stage loading.

  • Field Studies evaluating geocell use over challenging soils, such as black cotton soil.

  • Advanced Numerical Modelling using tools like PLAXIS, Abaqus, and IITPAVE for simulating reinforced soil behavior.

  • Sustainable Materials Research, exploring alternatives like recycled plastic grasspavers as cost-effective and environmentally friendly reinforcement options.

Her work contributes significantly to safer, longer-lasting, and more sustainable transportation networks.

🏅 ACCOLADES AND RECOGNITION

Dr. Banerjee has earned several prestigious awards for her research excellence:

  • ISSMGE Foundation Award (2024) – Sponsored her participation in the 8th International Conference on Earthquake Geotechnical Engineering (ICEGE) in Osaka, Japan.

  • Research Excellence Travel Award (RETA) – Provided by IIT Delhi to support international presentation of her research.

  • Research Scholar Travel Award (RSTA) – Supported her participation in the 20th International Conference on Experimental Mechanics in Porto, Portugal.

These recognitions affirm her global standing as a rising researcher in geotechnical engineering.

🌍 IMPACT AND INFLUENCE

Dr. Banerjee has made notable contributions to the global geotechnical community:

  • Peer-Reviewed Journals: Published 7 articles in reputed journals such as Geotextile and Geomembrane and Geosynthetics International.

  • Conference Presentations: Delivered research findings at 5 international and 4 national conferences, contributing to both academic knowledge and practical innovations.

  • Special Publications: Co-authored 2 Geotechnical Special Publications, expanding the visibility and applicability of her work.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Banerjee’s work is laying the foundation for greener, more resilient road construction practices. Her ongoing research on the life cycle cost and environmental impact of geocell-reinforced pavements seeks to:

  • Quantify long-term benefits in terms of maintenance reduction and material efficiency.

  • Promote the use of recyclable and sustainable materials in infrastructure development.

  • Influence future design standards and construction guidelines for road networks.

She continues to contribute toward a future where sustainability and performance go hand in hand in geotechnical engineering.

 ✅CONCLUSION

Dr. Sayanti Banerjee is a dedicated academic and researcher whose work in geocell-reinforced pavements represents a blend of innovation, sustainability, and engineering excellence. Through impactful publications, recognized contributions, and visionary projects, she is shaping the future of geotechnical infrastructure with solutions that are not only effective but also environmentally responsible.

 🔬NOTABLE PUBLICATION:

  • Title: Experimental investigation of the properties of geocell on the performance of flexible pavement under repetitive loading
    Authors: Banerjee, S., Manna, B., and Shahu, J. T.
    Journal: Geotextile and Geomembrane
    Year: 2024
  • Title: Experimental study on impact of geocell on pavement performance under multi-stage loading
    Authors: Banerjee, S., Manna, B., and Shahu, J. T.
    Journal: Geosynthetics International
    Year: 2025
  • Title: Field evaluation of geocell parameters for enhancing performance of unpaved roads
    Authors: Banerjee, S., Manna, B., and Shahu, J. T.
    Journal: Canadian Geotechnical Journal
    Year: 2025
  • Title: Performance evaluation of geocell-reinforced pavements overlying black cotton soil
    Authors: Banerjee, S., Manna, B., and Shahu, J. T.
    Journal: Geotextile and Geomembrane
    Year: 2025
  • Title: Behaviour of Geocell Reinforcement in a Multi-Layered Flexible Pavement Under Repeated Loading
    Authors: Banerjee, S., Manna, B., and Shahu, J. T.
    Journal: International Journal of Geosynthetics and Ground Engineering
    Year: 2024