Subham Preetam | Nano-robots | Editorial Board Member

Published-on by Indian Scientist

Mr. Subham Preetam | Nano-robots | Editorial Board Member

Monash University | India

Mr. Subham Preetam is a distinguished Transfusion Medicine specialist recognized for impactful clinical research, academic contributions, and leadership in advancing evidence-based transfusion practices. With an h-index of 17, a research portfolio of 40 documents, and 1,102 citations across 904 citing documents, Mr. Preetam has established a strong scientific footprint in areas such as apheresis, patient blood management, therapeutic plasma exchange, leukocytapheresis, immunohematology, and transfusion safety. His academic journey includes an MBBS, an MD in Transfusion Medicine, and advanced clinical training through a PDCC in Apheresis and Blood Component Therapy. Professionally, he has served as Senior Resident and faculty in leading national medical institutes, contributing significantly to service development, SOP formulation, staff training, and quality systems in transfusion services. His research interests span clinical apheresis, hemovigilance, transfusion reactions, donor health, PBM strategies, and improving transfusion outcomes. Mr. Preetam has earned recognition through prestigious national awards and has contributed to international working groups, editorial activities, invited sessions, and collaborative projects that strengthen global transfusion medicine practices. His continued dedication reflects a commitment to improving clinical standards, fostering academic excellence, and promoting innovation in transfusion medicine for enhanced patient care.

Profiles: Scopus | Orcid

Featured Publications

Preetam, S., Lata, S., Aditi, Bora, J., Thapliyal, S., Mehta, S., Ramniwas, S., Deshwal, R., Rustagi, S., Talukdar, N., et al. (2025). Exosome-driven biohybrid nanorobots: Bridging nature and nanotechnology in biomedical innovation. RSC Advances. https://doi.org/10.1039/D5RA05296C

Dhasmana, A., Santhanam, A., Dhasmana, K., Malik, S., & Preetam, S. (2025). Innovative smart biosensors for cancer theranostics: A new frontier in detection, diagnosis, and beyond. Cancer Treatment and Research Communications. https://doi.org/10.1016/j.ctarc.2025.100911

Dhasmana, A., Dobhal, P., Sati, A., Santhanam, A., Preetam, S., Malik, S., Joshi, N., Rustagi, S., & Deshwal, R. K. (2025). Synthesis of fungal polysaccharide-based nanoemulsions for cancer treatment. RSC Advances. https://doi.org/10.1039/D5RA01349F

Bhattacharya, T., Das, T., Preetam, S., & Chopra, H. (2025). Cutting-edge developments in agro-waste derived carbon nanomaterials and their multifaceted applications in agriculture: Enhancing crop imaging, nutrient efficiency, and plant health. Zeitschrift für Naturforschung C. https://doi.org/10.1515/znc-2024-0205

Preetam, S., Mishra, R., Thapliyal, S., Rustagi, S., Deshwal, R. K., Ramniwas, S., Dhasmana, A., Rajab, B. S., Alghamdi, S., & Malik, S. (2025). Bioactive coatings for cardiovascular stents: Modulating immune response for enhanced performance. ACS Biomaterials Science & Engineering. https://doi.org/10.1021/acsbiomaterials.5c01166

Koshal Kumar | Himalayan Aquatic Biodivesity | Research Excellence Award

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Dr. Koshal Kumar | Himalayan Aquatic Biodivesity | Research Excellence Award

Hemvati Nandan Bahuguna Garhwal University | India

Dr. Koshal Kumar is a dedicated scholar in aquatic ecology with a strong focus on freshwater biodiversity, macro-zoobenthos, periphyton dynamics, and pollution assessment in Himalayan river systems. With a total of 101 citations, an h-index of 5 and an i10-index of 3, Dr. Kumar has contributed valuable scientific insights through multiple well-recognized publications that explore drifting behaviour of Odonata, diversity of benthic macroinvertebrates, morphometric characterization of freshwater species, and water quality analysis of spring-fed and mountain streams. His academic journey includes rigorous training in environmental and biological sciences, followed by professional experience in field-based ecological assessment, quantitative data analysis, and biodiversity documentation. His research interests span aquatic entomology, riverine ecosystem health, biomonitoring, and habitat conservation, with a commitment to developing reliable ecological indicators for sustainable watershed management. Dr. Kumar has been acknowledged for his contributions through academic awards and recognitions supporting his work in mountain hydrology and freshwater biodiversity. His publications reflect a strong integration of field research, analytical interpretation, and ecological modelling, contributing to environmental knowledge systems at regional and disciplinary levels. With continued dedication to advancing aquatic ecosystem research, Dr. Koshal Kumar aims to support evidence-based conservation and foster scientific understanding of fragile Himalayan freshwater habitats.

Profiles: Google Scholar

Featured Publication

Bahuguna, P., Joshi, H. K., & Kumar, K. (2019). A report on drifting behaviour of Odonata (Aquatic Insects) in Kyunja Gad, a spring fed tributary of River Mandakini, Chamoli Garhwal, Uttarakhand. Journal of Mountain Research, 14(2), 63–67.

Baluni, P., Kumar, K., & Joshi, H. K. (2018). Ecology, distribution pattern, density and diversity of periphyton in Khankra spring fed stream of Garhwal Himalaya, India. Journal of Mountain Research, 13, 95–99.

Balodi, K. K., & Rana, V. P. (2015). Macro-zoobenthic study in relation to physico-chemical parameters of Khoh River in Uttarakhand. International Journal of Scientific Research, 4(6), 171–173.

Kumar, K., Rana, J. S., Rawat, A., & Kotnala, B. C. (2017). Checklist of benthic macroinvertebrate communities of stream Rawasan in Garhwal region (Central Himalaya), Uttarakhand (India). Journal of Mountain Research, 12, 91–95.

Koshal, A. R., Kumar, K., Rana, V. P., Kotnala, C. B., & Balodi, C. B. (2016). Water quality and pollution status of Rawasan stream in Garhwal Himalaya, Uttarakhand, India. Journal of Mountain Research, 11(1), 9–14.

Kumar, K., Kotnala, C. B., & Rana, A. R. (2014). Morphometric study on Macrobrachium assamense peninsulare (Tiwari, 1958) from Rawasan stream of Garhwal Himalaya, Uttarakhand, India. International Journal of Advanced Research, 2(8), 317–322.

Thulasingam Muthukumaran | Electrical Engineering | Research Excellence Award

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Mr. Thulasingam Muthukumaran | Electrical Engineering | Research Excellence Award

Puducherry Technological University | India

T. Muthukumaran is a certified Energy Auditor known for his strong technical expertise, practical innovation, and impactful contributions to industrial energy efficiency. With an academic foundation that includes a postgraduate degree earned with a university rank, he has built a multidisciplinary profile spanning automation, electrical systems, and renewable energy technologies. Over his long professional experience, he has contributed significantly to energy auditing, electrical maintenance, industrial automation, and solar power deployment, completing more than a hundred energy audits for diverse industries and providing actionable recommendations that enhanced operational efficiency. His earlier industry role strengthened his proficiency in PLC programming, HMI and SCADA integration, servo applications, pneumatics, power quality, UPS testing, and solar PV system design. His research and technical documentation record includes 10 documents, 11 citations, and an h-index of 2, reflecting growing recognition of his work. His interests encompass energy conservation, industrial automation, renewable energy systems, and electrical safety. He has also contributed to national-level audits and training programs, including modules on automation, solar PV, and electrical design, supporting skill development for engineers and technicians. His professional journey is marked by problem-solving, innovation, and a commitment to sustainable industrial practices, reinforcing his role as a specialist in energy and automation solutions.

Profiles: Scopus | Orcid

Featured Publication

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2026). Performance and analysis of power distribution in low voltage consumer end and reconfiguration of distribution lines. In Book chapter. https://doi.org/10.1007/978-3-032-00983-8_8

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2025). Energy forecasting models using different algorithm and modeling of hybrid renewable resources (HRE) for educational building: A comprehensive study. Electrical Engineering. https://doi.org/10.1007/s00202-024-02847-1

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2025). Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis. Green Energy and Intelligent Transportation. https://doi.org/10.1016/j.geits.2024.100245

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2024). Review of optimization tools used for design of distributed renewable energy resources. In Book chapter. https://doi.org/10.1007/978-3-031-58607-1_12

Muthukumaran, T., Periyanayagam, A. D. V. R., & Krishnamoorthy, M. (2024). Modeling of hybrid renewable resources and comprehensive feasibility analysis of grid interactive energy system for commercial building: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. https://doi.org/10.1080/15567036.2024.2409947

Rounak Raman | Information Technology | Research Excellence Award

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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).

Ravindran C | Microbiology | Research Excellence Award

Published-on by Indian Scientist

Dr. Ravindran C | Microbiology | Research Excellence Award

CSIR-National Instiute of Oceanography | India

Dr. Chinnarajan Ravindran is a distinguished marine-microbial ecologist and oceanographer with advanced training in botany and mycology (Ph.D., M.Phil., M.Sc., B.Sc.). He has forged a prolific scientific career at a leading national oceanographic institute, holding successive research positions including his current role as Senior Principal Scientist, and has accrued extensive international research exposure through post-doctoral appointments and visiting scientist fellowships. Over his career, he has authored 29 peer-reviewed documents, which collectively have been cited 381 times, yielding an h-index of 12. His research spans microbial biodiversity in extreme marine environments (such as hydrothermal vents), coral-microbe interactions, coral health and disease ecology, mangrove-estuarine microbial dynamics, and the use of zebrafish as a model for viral pathogenesis and drug screening. His work has led significant insights into coral mucus biochemistry and microbial community dynamics, the role of ciliates and beneficial bacteria in coral resilience, and microbial adaptations to environmental stress. Recognized with prestigious national awards and fellowships for his contributions, he has also mentored numerous postgraduate researchers and Ph.D. scholars. His sustained efforts advance our understanding of marine microbial ecology and hold promise for conservation and biotechnology applications.

Profiles: Scopus

Featured Publication

Ravindran, C.*, Irudayarajan, L., & Raveendran, H. P. (2025). Environmental regulation of ciliates in corals: A secondary pathogen in coral disease. Protist, 179, 126135.

Ravindran, C.*, & Mukherjee, S. (2025). Zebrafish as a model for SARS-CoV-2 infection, pathogenesis, transmission, and drug screening. Virology, 611, 110662.

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.

Balu Anthony | Development Economics | Research Excellence Award

Published-on by Indian Scientist

Dr. Balu Anthony | Development Economics | Research Excellence Award

Dr. Ambedkar Government Arts College | India

Dr. A. Balu is an accomplished economist with a strong academic and research background, recognised for his interdisciplinary expertise spanning economics, foreign trade, counselling psychology, and special education. He has completed advanced degrees including a doctorate in Economics along with multiple master’s qualifications that strengthen his multidisciplinary understanding of socio-economic systems. With extensive experience as an Assistant Professor, Associate Professor, Head of the Department, Research Consultant, and Guest Faculty, he has contributed significantly to teaching, curriculum development, and mentoring. His research interests include economic reforms, labour market dynamics, jobless growth, gender studies, welfare economics, and the socio-economic challenges faced by vulnerable communities. He has produced impactful research with an h-index of 4, 62 citations, and 14 indexed documents, along with publications in Scopus, Web of Science, and UGC-CARE-listed journals. His academic output includes edited books, funded research projects, invited talks, and participation in international and national conferences. He has organised workshops, seminars, faculty development programmes, and online training initiatives in research methodology. His contributions have been recognised through awards for teaching and research excellence, reflecting his commitment to quality education and meaningful scholarship. He continues to engage in impactful academic work, promoting research-driven societal development.

Profiles: Scopus

Featured Publication

(2025). Effect of police expenditure on crime rate in India. Safer Communities.

Supreeth S | Mechanical Engineering | Research Excellence Award

Published-on by Indian Scientist

Dr. Supreeth S | Mechanical Engineering | Research Excellence Award

East West Institute of Technology | India

Dr. Supreeth S is an accomplished researcher and Assistant Professor in Mechanical Engineering with extensive expertise in machine design, foil bearings, and hybrid composites. He holds a Ph.D. in Foil Bearings and has earned M.Tech in Machine Design and B.E. in Mechanical Engineering. With substantial teaching and research experience, he has contributed to projects involving biodiesel testing, twin-cylinder engine analysis, brush seals, ball milling techniques, and polymer composites. His research interests span tribology, thermal and mechanical characterization of materials, computational modeling, and virtual prototyping of mechanical systems. Dr. Supreeth has published multiple peer-reviewed articles in reputed journals and conferences, accumulating over 53 citations, an h-index of 5, and an i10-index of 2. He has also filed patents in intelligent prosthetic systems and AI-based structural health monitoring devices. Recognized for his excellence in research and teaching, he has received awards including Best Paper, Young Researcher, and institutional-level teaching honors. Proficient in analysis and design software such as Ansys, SolidWorks, Hypermesh, and AutoCAD, he actively engages in advancing mechanical engineering education and innovation. His work continues to influence the scientific community through publications, mentorship, and applied research in sustainable and high-performance mechanical systems.

Profiles: Google Scholar

Featured Publications

Supreeth, S., Ravikumar, R. N., Raju, T. N., & Dharshan, K. (2022). Foil stiffness optimization of a gas lubricated thrust foil bearing in enhancing load carrying capability. Materials Today: Proceedings, 52, 1479–1487. https://doi.org/10.1016/j.matpr.2021.11.210

Dharshan, K., Raju, T. N., Nagaral, M., Bharath, V., Auradi, V., Shantharaj, P., … (2022). Microstructure, tensile and impact behaviour of Si3N4 particles reinforced Al2024 matrix composites. Materials Today: Proceedings, 52, 1499–1503. https://doi.org/10.1016/j.matpr.2021.11.224

Shivakumar, S., NagaRaju, T., Ravikumar, R. N., & Rudraiah, M. C. (2022). A review on performance characteristics of an air foil thrust bearing. Tribology Online, 17(4), 276–282. https://doi.org/10.2474/trol.17.276

Balaji, J., Nataraja, M. M., Sadashiva, K., & Supreeth, S. (2023). Experimental and computational analysis of thermal characteristics of polymer resin reinforced with rice husk and aluminium nitride filler composites. Journal of The Institution of Engineers (India): Series D, 105(1), 313–321. https://doi.org/10.1007/s40033-023-00480-z

Supreeth, S., Raju, T. N., Ravikumar, R. N., & Mahesha, C. R. (2023). Parametric studies on performance of oil-free thrust foil bearings at lower speeds. Tribology in Industry, 44(1), 81–88. https://doi.org/10.24874/ti.1407.11.22.12

Nayan Mani Das | Nanotechnology | Best Researcher Award

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Dr. Nayan Mani Das | Nanotechnology | Best Researcher Award

Sipajhar College | India

Dr. Nayan Mani Das is an accomplished Assistant Professor in the Department of Physics at Sipajhar College, Assam, with extensive experience in nanomaterials, thin-film fabrication, and advanced characterization techniques. With a Ph.D. in Applied Physics and post-doctoral research at premier institutes, he has expertise in graphene-polymer nanocomposites, Langmuir-Blodgett thin films, ZnO microcavities, micro-energy generation, and antimicrobial nanomaterials. His research portfolio encompasses ultrathin film synthesis, polymer-semiconductor hybrids, and electrochemical and optical properties of nanostructures, contributing to innovations in water purification, energy harvesting, and biomedical applications. Dr. Das has published over 20 documents, cited more than 260 times, and holds an h-index of 9, reflecting his impactful contributions to the field. He has been recognized with national and international awards, including travel grants for conferences and best presenter awards. His work has been featured in reputed journals and conferences, and he actively serves as a reviewer for leading journals in nanoscience and applied physics. Dr. Das’s academic and research endeavors demonstrate a commitment to advancing nanotechnology and materials science, mentoring students, and fostering collaborations across institutes. His ongoing projects focus on sustainable materials, energy-efficient devices, and practical applications of nanotechnology, establishing him as a notable contributor in his discipline.

Profile: Scopus

Featured Publications

Nanda Shakti, Mandal, T., Das, N. M., Roy, D., Sunder, S., Kumar, S., & Pal, R. (2024). Growth and electrochemical properties of CuO nanowires-ZnO microrods composite. Hybrid Advances.

Bhuyan, T., Maity, S., Saha, D. R., Das, N. M., & Bandyopadhyay, D. (2022). Pathways to translate the biomedical prototypes. In Advanced Micro- and Nano-manufacturing Technologies: Applications in Biochemical and Biomedical Engineering (pp. 29–56). Springer.

Sajja Tulasi Krishna | Computer Science | Research Excellence Award

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Dr. Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Koneru Lakshmaiah Education Foundation | India

Dr. Sajja Tulasi Krishna is a distinguished researcher and academician in Computer Science and Engineering, currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation. She has extensive teaching experience in areas including CI/CD, Cloud DevOps, Python Full Stack Development, MERN Stack Web Development, Deep Learning, and Data Structures. Dr. Krishna earned her Ph.D. in Computer Science and Engineering and holds advanced degrees in M.Tech and B.Tech, reflecting a strong academic foundation. Her research focuses on deep learning, machine learning, biomedical image processing, and intelligent systems, with contributions in multi-omics integration, lung cancer detection, COVID-19 diagnosis, and medicinal plant classification. She has published 18 research articles in SCIE, Scopus, and IEEE journals, achieving a total of 488 citations with an h-index of 5 and an i10-index of 5. Dr. Krishna has presented her work at multiple national and international conferences, serving as a reviewer for reputed journals and conferences. She has received multiple awards recognizing her excellence in teaching, research, and technical contributions, including Best Teacher, International Excellence, and Young Researcher Awards. With her expertise, she continues to advance innovative research while mentoring students and contributing to the academic community globally.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

Krishna, S. T., & Kalluri, H. K. (2019). Deep learning and transfer learning approaches for image classification. International Journal of Recent Technology and Engineering (IJRTE), 7(5S4), 427–432.

Sajja, T. K., Devarapalli, R. M., & Kalluri, H. K. (2019). Lung cancer detection based on CT scan images by using deep transfer learning. Traitement du Signal, 36(4), 339–344.

Sajja, T. K., & Kalluri, H. K. (2020). A deep learning method for prediction of cardiovascular disease using convolutional neural network. Revue d’Intelligence Artificielle, 34(5), 601–606.

Sajja, T. K., & Kalluri, H. K. (2021). Image classification using regularized convolutional neural network design with dimensionality reduction modules: RCNN–DRM. Journal of Ambient Intelligence and Humanized Computing, 12(10), 9423–9434.

Sajja, T. K., & Kalluri, H. K. (2019). Gender classification based on face images of local binary pattern using support vector machine and back propagation neural networks. Advances in Modelling and Analysis B, 62(1), 31–35.