Banupriya N | Computer Science | Young Researcher Award

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Dr. Banupriya N | Computer Science | Young Researcher Award

R.M.K. Engineering College, India

Dr. N. Banupriya is an accomplished academician and researcher in Computer Science and Engineering, currently serving as an Assistant Professor at R.M.K. Engineering College. She holds advanced degrees in Computer Science and is pursuing doctoral research, reflecting her commitment to academic excellence. With extensive teaching experience, she has contributed significantly to research in Artificial Intelligence, Machine Learning, Data Analytics, and Brain-Computer Interface. She has published in reputed journals and conferences and received recognitions including Infosys Campus Connect certifications. Her work demonstrates dedication to innovation, impactful research, and academic leadership.

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Featured Publications

Umeshkumar KU | Bioinformatics | Best Researcher Award

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Dr. Umeshkumar KU | Bioinformatics | Best Researcher Award

Teerthanker Mahaveer university | India

Umeshkumar KU is an Innovation Architect, Registered Patent Agent, and Computational Biologist specializing in AI/ML-driven solutions for zoonotic threats and antimicrobial resistance. He has a robust academic foundation with advanced degrees in Biotechnology and Bioinformatics, complemented by a postgraduate diploma in Intellectual Property and postdoctoral training in Innovation and Technology Transfer. Umeshkumar has accumulated extensive professional experience across universities, startups, and research institutions, leading intellectual property portfolios, mentoring early-stage deeptech founders, and managing end-to-end patent filings and technology commercialization. His research interests focus on microbial genomics, pathogen risk prediction, antibiotic resistance mechanisms, zoonotic potential, and the development of computational pipelines and AI models for genomic analysis. He has authored multiple high-impact research papers and filed patents in biotechnology and life sciences, demonstrating a strong commitment to advancing scientific knowledge and translating research into practical applications. Umeshkumar’s contributions have been recognized with awards for innovative work and leadership in IP and biotechnology. Actively engaged in institutional innovation programs, workshops, and advisory roles, he drives the integration of research, technology transfer, and strategic intellectual property management, fostering a culture of innovation and excellence.

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Featured Publications


Descriptive genomic analysis of antibiotic resistance in Pasteurella multocida isolates from India

– Journal of Zoonotic Diseases, 9(2), 771–780 (2025) – Cited by 1 | DOI: 10.22034/jzd.2024.18654 :contentReference[oaicite:0]{index=0}


Genomic characterization of Pasteurellaceae strains: Resistance mechanisms, virulence factors, and HGT potential

– In Silico Research in Biomedicine, 1, 100015 (2025) – Cited by 1 | DOI not yet listed but indexed :contentReference[oaicite:1]{index=1}


Zoonoticus: A Machine Learning Model for Genomic Prediction of Zoonotic Bacterial Strains Using Virulence, Resistance, and Mobile Genetic Elements

– Computational Biology and Chemistry, 108760 (2025) – Cited: PubMed listing | DOI: 10.1016/j.compbiolchem.2025.108760 :contentReference[oaicite:2]{index=2}


META‑ANALYSIS OF MICROBIAL DIVERSITY IN YOUNG CATS USING T-BIOINFO SERVER

– Suranaree Journal of Science & Technology 31(6), 2024 – [DOI link requires journal confirmation] :contentReference[oaicite:3]{index=3}

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

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).

Padmini Sankaramurthy | Energy | Research Excellence Award

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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.

Supriya M H | Electronics | Research Excellence Award

Published-on by Indian Scientist

Prof. Dr. Supriya M H | Electronics | Research Excellence Award

Cochin University of Science and Technology | India

Dr. Supriya M.H. is a distinguished Professor in the Department of Electronics at Cochin University of Science and Technology with extensive experience at both undergraduate and postgraduate levels as well as in industry. She holds a B.Tech in Electrical Engineering, M.Tech and Ph.D. in Electronics, a Diploma in Unix & C, and an MBA in Information Technology. With over two decades of teaching experience and active involvement in research, Dr. Supriya has guided multiple Ph.D. students and has been recognized with numerous awards and recognitions for her contributions. Her research interests include underwater acoustics, target identification, underwater communication, signal processing, computer technology, and machine learning, leading to significant outputs in publications and patents. She has led several nationally and internationally funded projects with substantial total outlay, demonstrating her capability in research management and innovation. Dr. Supriya has authored over 178 publications, holds multiple patents, and has been cited over 1,210 times, with an h-index of 15 and i10-index of 25. She has also played key roles in organizing and coordinating symposia, workshops, and training programs, contributing to academic development. Her leadership in academic and professional bodies reflects her commitment to advancing electronics research and mentoring the next generation of researchers.

Profile: Google Scholar

Featured Publications

Pranav, E., Kamal, S., Chandran, C. S., & Supriya, M. H. (2020). Facial emotion recognition using deep convolutional neural network. In Proceedings of the 6th International Conference on Advanced Computing and Communication (pp. …).

Jose, E., Greeshma, M., Haridas, M. T. P., & Supriya, M. H. (2019). Face recognition based surveillance system using FaceNet and MTCNN on Jetson TX2. In Proceedings of the 5th International Conference on Advanced Computing & Communication (pp. …).

Kamal, S., Mohammed, S. K., Pillai, P. R. S., & Supriya, M. H. (2013). Deep learning architectures for underwater target recognition. In Proceedings of Ocean Electronics (SYMPOL) (pp. 48–54).

Nezla, N. A., Haridas, T. P. M., & Supriya, M. H. (2021). Semantic segmentation of underwater images using U-Net architecture based deep convolutional encoder-decoder model. In Proceedings of the 7th International Conference on Advanced Computing and Communication (pp. …).

Sherin, B. M., & Supriya, M. H. (2015). Selection and parameter optimization of SVM kernel function for underwater target classification. In IEEE Underwater Technology (UT) (pp. 1–5).

Partha Barman | Nanotechnology | Best Academic Researcher Award

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Prof. Partha Barman | Nanotechnology | Best Academic Researcher Award

Jaypee University of Information Technology | India

Prof. Partha Bir Barman, currently Professor and Head of the Department of Physics & Materials Science at Jaypee University of Information Technology, is an Indian materials physicist whose research spans bulk crystal growth of III-V compound semiconductors, chalcogenide glasses and thin films, oxidation studies of III-V materials, device fabrication and characterization, and nano-ferrite and graphene-based layered materials for hydrogen storage and selective gas sensing. He earned his M.Sc. in Physics (Solid State Physics) and his Ph.D. in Physics (Materials Science) from Indian universities with the entire experimental work carried out at the Materials Science Centre, Indian Institute of Technology Kharagpur. Over his career he has supervised eight Ph.D. students to completion and currently guides four more. His publication profile, according to Google Scholar, shows an h-index of 25 with over 2,260 citations. He has been awarded a CSIR Research Fellowship, held multiple major projects supported by Indian funding agencies (MHRD, DST, SERB, HIMCOSTE) and serves on the editorial and peer-review panels of leading materials science journals. In his teaching role spanning nearly two decades, he has taught and developed courses in Engineering Materials, Nanotechnology, Thin Film Technology and Materials Science across undergraduate and postgraduate levels. His contributions have advanced semiconductor crystal growth and sensing materials and point to a vibrant future in device-materials interplay.

Profile: Google Scholar | Scopus

Featured Publications

Thakur, A., Singh, R. R., & Barman, P. B. (2013). Synthesis and characterizations of Nd³⁺ doped SrFe₁₂O₁₉ nanoparticles. Materials Chemistry and Physics, 141(1), 562–569. https://doi.org/10.1016/j.matchemphys.2013.05.052

Singh, R., Barman, P. B., & Sharma, D. (2017). Synthesis, structural and optical properties of Ag doped ZnO nanoparticles with enhanced photocatalytic properties by photo degradation of organic dyes. Journal of Materials Science: Materials in Electronics, 28(8), 5705–5717. https://doi.org/10.1007/s10854-016-6251-3

Sharma, R., Thakur, P., Kumar, M., Barman, P. B., Sharma, P., & Sharma, V. (2017). Enhancement in AB super-exchange interaction with Mn²⁺ substitution in Mg-Zn ferrites as a heating source in hyperthermia applications. Ceramics International, 43(16), 13661–13669. https://doi.org/10.1016/j.ceramint.2017.07.108

Gupta, D., Dutta, D., Kumar, M., Barman, P. B., Sarkar, C. K., Basu, S., & Hazra, S. K. (2014). A low temperature hydrogen sensor based on palladium nanoparticles. Sensors and Actuators B: Chemical, 196, 215–222. https://doi.org/10.1016/j.snb.2014.01.058

Thakur, A., Singh, R. R., & Barman, P. B. (2013). Structural and magnetic properties of La³⁺ substituted strontium hexaferrite nanoparticles prepared by citrate precursor method. Journal of Magnetism and Magnetic Materials, 326, 35–40. https://doi.org/10.1016/j.jmmm.2012.08.034

Shanmugam S | Machine Learning | Best Researcher Award

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Dr. Shanmugam S | Machine Learning | Best Researcher Award

SRM Institute of Science and Technology | India

Dr. Shanmugam S is an academic and researcher in the field of computing technologies with a focus on Artificial Intelligence and Machine Learning. His scholarly portfolio reflects professional engagement with advanced areas including Soft Computing, Transfer Learning, and Quantum Computing. He has completed his doctoral research in Information and Communication, supported by previous postgraduate and undergraduate education in computer science and information technology disciplines. His publication record includes 24 research documents, with 342 citations received from 322 referencing documents, supported by an h-index of 8, highlighting the relevance and impact of his contributions in the research community. He has accumulated significant teaching and research experience, handling courses such as Data Structures, Object-Oriented Programming, Big Data for Machine Learning, Software Engineering, Business Computing, and Philosophy of Engineering. His efforts extend to guiding students, contributing to departmental academic activities, and participating in various scholarly workshops, seminars, and conferences. His research interests continue to explore emerging computational paradigms and their applications in solving real-world challenges. He has received recognition for academic and research contributions, reinforcing his professional standing. Overall, his work contributes to the advancement of intelligent systems and computational innovation.

Profile: Scopus

Featured Publications

Role of hydroxychloroquine in primary glomerular disease – a systematic review and meta-analysis of the current evidence. BMC Nephrology. (2025).

Exploring the ability of emerging large language models to detect cyberbullying in social posts through new prompt-based classification approaches. Information Processing and Management. (2025).

Deepana Gopal | Engineering | Best Researcher Award

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Dr. Deepana Gopal | Engineering | Best Researcher Award

S.A.Engineering College | India

Dr. G. Deepana is a civil engineering researcher and academician with a strong contribution to structural and sustainable construction materials. She has earned her doctoral degree in Civil Engineering with prior specialization in Structural Engineering, and has consistently demonstrated academic excellence throughout her education. Her research profile reflects 11 citations, an h-index of 2, and several indexed publications across SCI and Scopus-listed journals. She has published impactful work in areas such as ferrocement composites, sustainable green concrete materials, construction waste utilization, and performance enhancement of structural elements. Her SCI publications include studies on ferrocement wall panel behavior and agro-waste reinforced composites, alongside multiple Scopus-indexed contributions exploring durability, material characterization, and sustainability in civil engineering. She has also presented her work at international and national conferences, contributing to global discussions on innovative construction materials. In addition to research, she has academic experience as an Assistant Professor, handling core civil engineering courses and laboratories, while guiding students in both theoretical and practical learning. Her research interests include concrete technology, strength of materials, ferrocement, structural durability, and sustainable infrastructure development. She aims to continue advancing environmentally responsible construction practices and contribute meaningfully to academic and engineering communities.

Profile: 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., & others. (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 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (pp. —). IEEE.

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

Deepana G | Engineering | Best Researcher Award

Published-on by Indian Scientist

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.