Balaji Nandagopal | Biomarker | Best Researcher Award

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Prof. Balaji Nandagopal | Biomarker | Best Researcher Award

Sri Narayani Hospital and Research Centre | India

Prof. Balaji Nandagopal is a distinguished biomedical researcher and academic leader serving as Director at the Sri Sakthi Amma Institute of Biomedical Research, Sri Narayani Hospital & Research Centre. With strong qualifications in microbiology, laboratory technology, and biotechnology, he has built an impactful career spanning scientific research, healthcare innovation, and academic development. His scholarly contributions include an impressive record of 41 documents, 293 citations, and an h-index of 10, reflecting sustained influence in infectious diseases, molecular diagnostics, clinical microbiology, virology, and biomedical sciences. He has successfully guided multiple funded projects, serving as Principal Investigator for significant studies on febrile illness diagnostics, viral detection, molecular epidemiology, multiplex PCR development, and emerging pathogen surveillance. His research interests span diagnostic assay development, molecular detection technologies, public health microbiology, clinical epidemiology, and translational biomedical research. He has contributed book chapters, collaborated widely, and maintained active membership in prominent scientific societies, strengthening his global professional footprint. His achievements include prestigious international and national fellowships and recognitions, alongside his continued service in mentoring postgraduate and doctoral scholars. With a strong commitment to advancing healthcare for underserved communities, he consistently integrates scientific expertise with compassionate service, making notable contributions to biomedical science and public health advancement.

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Featured Publications

(2024). Polymeric optical fiber biosensor with PAMAM dendrimer-based surface modification and PlGF detection for pre-eclampsia diagnosis. Biosensors and Bioelectronics. (Citations: 8)

(n.d.). A review of acute febrile illness. (Review, Open access). (Citations: 1)

A review of maternal TORCH-S infections. (Review, Open access).

Standardization of an in-house multiplex real-time polymerase chain reaction for the simultaneous detection of Toxoplasma gondii, Rubella virus, cytomegalovirus, herpes simplex virus 1 and 2, and Treponema pallidum infection among pregnant women. Indian Journal of Public Health. (Citations: 2)

Harish Verma | Material Science | Research Excellence Award

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Mr. Harish Verma | Material Science | Research Excellence Award

Indian Institute of Technology (Banaras Hindu University) | India

Harish Verma is a dedicated researcher in the Department of Physics at the Indian Institute of Technology (BHU), Varanasi, contributing significantly to advanced materials research with an academic profile supported by 109 citations, an h-index of 7, and an i10-index of 2. He is pursuing a Ph.D. in Physics with a focus on undoped and doped LaFeO₃, rGO, and MXene-based nanocomposites for high-performance supercapacitor applications, integrating Density Functional Theory, artificial intelligence, and machine learning simulations. His postgraduate training includes an M.Phil. in Physics with specialization in nanotechnology and an M.Sc. in Physics with electronics, complemented by multiple research projects involving nanomaterial synthesis, gas sensors, and magnetic fluid preparation. He has contributed to numerous peer-reviewed publications across reputed journals, presenting his work in national and international conferences, along with earning recognition for best oral presentations. His research interests encompass perovskite oxides, graphene-based materials, MXenes, dielectric ceramics, energy storage devices, optoelectronics, and solid-state physics. He has hands-on experience with advanced characterization techniques and material fabrication methods. He has also been associated with a funded project supported by a premier defense research board. Committed to innovative energy solutions, he continues to advance the field of functional materials for next-generation storage technologies.

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Featured Publications

Verma, H., Tripathi, A., & Upadhyay, S. (2024). A comprehensive study of dielectric, modulus, impedance, and conductivity of SrCeO₃ synthesized by the combustion method. International Journal of Applied Ceramic Technology, 21(4), 3032–3047.

Verma, S., Das, T., Verma, S., Pandey, V. K., Pandey, S. K., Verma, H., & Verma, B. (2025). Hierarchically architecture of Ru-doped multichannel carbon nanotubes embedded with graphene oxide for supercapacitor material with long-term cyclic stability. Fuel, 381, 133517.

Verma, S., Maurya, A., Verma, H., Singh, R., & Bhoi, B. (2024). Unveiling the characteristics of MgAl0.5Fe1.5O₄ spinel ferrite: A study of structural, optical, and dielectric properties. Chemical Physics Impact, 9, 100674.

Verma, H., Kumar, P., Satyarthi, S. K., Bhattacharya, B., Singh, A. K., & Upadhyay, S. (2025). Investigation of La₂FeO₄–rGO nanocomposite electrode material for symmetric and asymmetric supercapacitor. Journal of Energy Storage, 114, 115849.

Nirala, G., Katheriya, T., Yadav, D., Verma, H., & Upadhyay, S. (2023). The evolution of coil-less inductive behaviour in La-doped Sr₂MnO₄. Emergent Materials, 6(6), 1951–1962.

Ashish Sriram Mishra | Pharmaceutics | Research Excellence Award

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Mr. Ashish Sriram Mishra | Pharmaceutics | Research Excellence Award

SRM College of Pharmacy SRMIST Kattankulathur Chennai | India

Mr. Ashish Sriram Mishra is a dedicated researcher in pharmaceutics with strong expertise in novel drug delivery systems, optimization tools, and formulation science, currently pursuing doctoral research at SRM Institute of Science and Technology. He has completed his postgraduate and undergraduate studies in pharmacy with excellent academic performance, building a solid foundation in biopharmaceutics, pharmacokinetics, and advanced pharmaceutical technology. His research focuses on polymeric nanoparticles, lipid-based carriers, targeted gastrointestinal delivery, stability-indicating analytical methods, and drug repurposing strategies. He has authored impactful scientific publications in reputed journals, contributing an h-index of 3, over 40 citations, and more than 10 documents indexed in leading scholarly databases. His work includes advancements in nanomedicine, inflammation management, analytical method development, and Alzheimer’s disease therapeutic strategies. He has hands-on experience in formulation development, characterization techniques, cell studies, microbial assays, instrumental analysis, and design-based optimization, along with proficiency in scientific writing and laboratory documentation. His contributions to pharmaceutics reflect innovation, precision, and a commitment to translational research. He continues to advance his scientific expertise through active research, scholarly publications, and participation in collaborative academic environments, aiming to contribute significantly to pharmaceutical innovation and therapeutic development.

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Featured Publications

Mishra, A. S., Vasanthan, M., & Malliappan, S. P. (n.d.). Drug repurposing: A leading strategy for new threats and targets. ACS Pharmacology & Translational Science, 7(4), 915–932.

Mishra, A. S., Sugumaran, A., & Damodharan, N. (n.d.). Nanoparticulate delivery systems for the effective treatment of COPD. Annals of the Romanian Society for Cell Biology, 25(4), 13892–13904.

Mishra, A. S., & Vasanthan, M. (n.d.). Design and validation of a robust stability-indicating reversed-phase HPLC method for quantification of mesalamine in formulated drug products. BMC Chemistry, 19(1), 303.

Mishra, A. S., Vasanthan, M., & Pandey, C. (n.d.). Comparative in silico human and environmental hazard profiling of ulcerative colitis pharmaceuticals. Environmental Chemistry and Ecotoxicology.

Mishra, A. S., & Vasanthan, M. (n.d.). Ecofriendly analytical quality by design aided RP-HPLC method for the estimation of mesalamine: Greenness, blueness and whiteness appraisal. Microchemical Journal, Article

Peeyush Phogat | Electrochemistry | Young Scientist Award

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Dr. Peeyush Phogat | Electrochemistry | Young Scientist Award

CSIR-National Institute of Science Communication and Policy Research| India

Dr. Peeyush Phogat is an accomplished researcher specializing in energy materials, nanotechnology, battery systems, and advanced electrochemical devices. He currently serves as a Senior Project Associate at CSIR–NIScPR, leading research on sodium-ion battery technologies through patent analytics and technical landscape assessment. His past work includes project-level contributions to national programs on sustainable energy solutions, emphasizing research progress and policy pathways. Dr. Phogat completed his PhD in Physics at the Netaji Subhas University of Technology, where his work focused on synthesizing and characterizing chalcogenide nanocomposites for energy applications. His research spans material science, transition-metal nanocomposites, functional electrodes, electrochemical charge storage, advanced sensors, and scientometric studies in battery technologies. He has an extensive publication record with 63 journal papers, 12 book chapters, and 7 authored books covering next-generation electrolytes, hydrogen economy, fuel cells, supercapacitors, nanomaterial synthesis, and sustainable energy materials.

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Featured Publications

Phogat, P., Dey, S., & Wan, M. (2025). Comprehensive review of sodium-ion batteries: Principles, materials, performance, challenges, and future perspectives. Materials Science and Engineering: B, 312, 117870.

Shreya,, Phogat, P., Jha, R., & Singh, S. (2023). Microwave-synthesized γ-WO₃ nanorods exhibiting high current density and diffusion characteristics. Transition Metal Chemistry, 1–17.

Kumar, T., Shreya, Phogat, P., Sahgal, V., & Jha, R. (2023). Surfactant-mediated modulation of morphology and charge transfer dynamics in tungsten oxide nanoparticles. Physica Scripta.

Sharma, S., Phogat, P., Jha, R., & Singh, S. (2023). Electrochemical and optical properties of microwave assisted MoS₂ nanospheres for solar cell application. International Journal of Smart Grid and Clean Energy, 12(3), 66–72.

Phogat, P., Shreya, Jha, R., & Singh, S. (2023). Electrochemical analysis of thermally treated two-dimensional zinc sulphide hexagonal nano-sheets with reduced band gap. Physica Scripta.

Ramprasad Srinivasan | Biomarker | Best Researcher Award

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Prof. Ramprasad Srinivasan | Biomarker | Best Researcher Award

Sri Narayani Hospital and Research Centre | India

Dr. Ramprasad Srinivasan is an accomplished biomedical researcher specializing in biochemistry, molecular biology, renal complications, and biomarker discovery. With a strong academic foundation spanning biochemistry, medical laboratory technology, and an advanced doctoral qualification, he has developed extensive expertise in molecular diagnostics and translational medicine. His professional journey includes significant scientific roles across academic institutions and advanced research laboratories, where he contributed to projects involving diabetic nephropathy, atherosclerosis, retinal disorders, inflammation, and tissue-factor–mediated signaling. He has published extensively in leading SCI journals, contributing impactful work supported by 46 citations, an h-index of 5, and documented through numerous peer-reviewed papers with a growing scientific footprint marked by his i10-index of 1. His research interests include biomarker identification, biosensor development, proteomics, macrophage biology, and chronic kidney disease mechanisms. He has also led multiple funded projects as Principal Investigator, focusing on diagnostics, CKD therapeutics, and immune regulation. His contributions have been recognized through competitive fellowships, poster awards, and travel distinctions from reputed scientific bodies. He remains committed to advancing healthcare innovations by integrating laboratory sciences with clinical applications, aiming to translate molecular insights into practical diagnostic and therapeutic solutions.

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Featured Publications

Nilavan, E., Sundar, S., Shenbagamoorthy, M., Narayanan, H., Nandagopal, B., & Srinivasan, R. (2020). Identification of biomarkers for early diagnosis of diabetic nephropathy disease using direct flow through mass spectrometry. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 2073–2078.

Chaudhary, R. K., Madaboosi, N., Satija, J., Nandagopal, B., Srinivasan, R., & Sai, V. V. R. (2024). Polymeric optical fiber biosensor with PAMAM dendrimer-based surface modification and PlGF detection for pre-eclampsia diagnosis. Biosensors and Bioelectronics, 257, 116312.

Gramoll, K., & Ramaprasad, S. (1995). Effects of band weaving on fiber strength in filament-wound composite structures. Composites Engineering, 5(4), 363–373.

Srinivasan, R., Dattaguru, B., & Singh, G. (2019). Exact solutions for laminated composite beams using a unified state space formulation. International Journal for Computational Methods in Engineering Science and Mechanics.

Srinivasan, R. (2014). Exact solution of shear flexible laminated curved beams using a coupled field formulation. International Journal for Computational Methods in Engineering Science and Mechanics.

Sachin Dhawale | Medicinal Chemistry | Best Researcher Award

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Assoc. Prof. Dr. Sachin Dhawale | Medicinal Chemistry | Best Researcher Award

Shreeyash Institute of Pharmaceutical Education and Research | India

Dr. Sachin Ashok Dhawale is a dedicated researcher in medicinal chemistry and pharmaceutical sciences, recognized for his contributions to drug design, molecular modeling, and synthetic chemistry. With a strong academic foundation including a PhD in Pharmacy, M.Pharm in Pharmaceutical Chemistry, and a B.Pharm degree, he has built extensive experience across academic and research environments, serving in teaching positions and contributing to funded research projects as a JRF and SRF under national scientific bodies. His scientific impact is reflected in 136 citations, an h-index of 6, and an i10-index of 4, supported by more than 25 Scopus-indexed publications, several as first or corresponding author, and cumulative impact exceeding 50. His research spans anticancer agents, antimicrobial molecules, molecular docking, natural product-based therapeutics, ADMET studies, and computational chemistry approaches. He has guided multiple undergraduate and postgraduate research projects, presented papers at national and international conferences, and published a specialized book on computer-aided drug design. His work has earned several recognitions including first-prize awards at competitive scientific events and fellowship support from national and state agencies. With expertise in advanced cheminformatics tools and synthetic techniques, he continues to contribute to innovative therapeutic discovery aimed at improving human health.

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Featured Publications

Gandla, K., Islam, F., Zehravi, M., Karunakaran, A., Sharma, I., Haque, M. A., … Dhawale, S. A. (2023). Natural polymers as potential P-glycoprotein inhibitors: Pre-ADMET profile and computational analysis as a proof of concept to fight multidrug resistance in cancer. Heliyon, 9(9).

Singu, P. S., Kanugala, S., Dhawale, S. A., Kumar, C. G., & Kumbhare, R. M. (2020). Synthesis and pharmacological evaluation of some amide functionalized 1H-benzo[d]imidazole-2-thiol derivatives as antimicrobial agents. ChemistrySelect, 5(1), 117–123.

Dube, P. N., Sakle, N. S., Dhawale, S. A., More, S. A., & Mokale, S. N. (2019). Synthesis, biological investigation and docking study of novel chromen derivatives as anti-cancer agents. Anti-Cancer Agents in Medicinal Chemistry, 13.

Gawai, A. A., Kharat, A. R., Chorge, S. S., & Dhawale, S. A. (2023). Green synthesis of silver nanoparticles mediated Azadirachta indica extract and study of their characterization, molecular docking, and antibacterial activity. Journal of Molecular Recognition, 36(10), e3051.

Suryawanshi, R. M., Shimpi, R. B., Muralidharan, V., Nemade, L. S., Gurugubelli, S., … Dhawale, S. A. (2025). ADME, toxicity, molecular docking, molecular dynamics, glucokinase activation, DPP-IV, α-amylase, and α-glucosidase inhibition assays of mangiferin and friedelin for antidiabetic potential. Chemistry & Biodiversity, 22(5), e202402738.

Ankush Kumar | Medicinal Chemistry | Young Researcher Award

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Mr. Ankush Kumar | Medicinal Chemistry | Young Researcher Award

Chitkara University Punjab | India

Ankush Kumar is a dedicated pharmaceutical researcher whose work spans medicinal chemistry, molecular modeling, and targeted drug design with a strong focus on anticancer therapeutics. He holds a solid academic foundation with qualifications in pharmaceutical chemistry and extensive research training that includes computational drug design, structure-activity exploration, and medicinal insights into heterocyclic scaffolds. His professional experience includes serving as a Junior Research Fellow and working as an Assistant Professor across multiple academic institutions, where he contributed to teaching, mentoring, and research development. His research outputs reflect a strong contribution to oncology-oriented drug discovery, with publications covering molecular targets, biomarkers, EGFR inhibition, heterocyclic synthesis, and computational repurposing studies. He has authored numerous research papers in reputed journals, contributing to a total of 561 citations, supported by an h-index of 6 and i10-index of 4, demonstrating the growing influence of his scientific contributions. His work includes book chapters and multiple peer-reviewed articles that highlight new therapeutic strategies and structural insights into various biological targets. He has received academic distinctions such as top positions in academic competitions and has served as a reviewer for international journals, further reflecting his scholarly engagement. Overall, his research trajectory reflects a commitment to advancing pharmaceutical innovation and precision-driven drug discovery.

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Featured Publications

Ye, F., Dewanjee, S., Li, Y., Jha, N. K., Chen, Z. S., Kumar, A., Vishakha, Jha, S. K., et al. (2023). Advancements in clinical aspects of targeted therapy and immunotherapy in breast cancer. Molecular Cancer, 22(1), 105.

Kumar, A., Sehgal, A., Singh, S., Sharma, N., Yadav, S., Rashid, S., Ali, N., et al. (2023). Understanding the mechanistic pathways and clinical aspects associated with protein and gene based biomarkers in breast cancer. International Journal of Biological Macromolecules, Article 126595.

Zheng, M., Kumar, A., Sharma, V., Sehgal, A., Wal, P., Shinde, N. V., Kawaduji, B. S., et al. (2024). Revolutionizing pediatric neuroblastoma treatment: unraveling new molecular targets for precision interventions. Frontiers in Cell and Developmental Biology, 12, Article 1353860.

Kumar, A., Kumar, B., & Bhatia, R. (2023). Design, synthesis, molecular docking, and biological evaluation of isatin-based fused heterocycles as epidermal growth factor receptor inhibitors. Assay and Drug Development Technologies, 21(5), 222–233.

Kumar, A., Narang, R. K., & Bhatia, R. (2023). Recent advancements in NS5B inhibitors (2011–2021): Structural insights, SAR studies and clinical status. Journal of Molecular Structure, 1293, Article 136272.

Sivakamasundari | Computer Science | Best Researcher Award

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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).

Sunil Datt Sharma | Computer Science | Best Researcher Award

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Dr. Sunil Datt Sharma | Computer Science | Best Researcher Award

Central University of Jammu | India

Dr. Sunil Datt Sharma is a distinguished researcher in the fields of Digital Signal Processing, Adaptive Signal Processing, and Machine Learning Applications, recognized for his contributions across computational biology, biomedical signal analysis, and intelligent imaging systems. With 289 citations, an h-index of 9, and 9 indexed documents, his research is widely acknowledged for its technical depth and interdisciplinary impact. He has authored numerous journal articles, conference papers, and book chapters covering areas such as CpG island detection, promoter identification using deep learning, image de-noising, transfer learning for fault diagnosis, micro-Doppler signature analysis, anisotropic diffusion models, and advanced frequency-domain algorithms. His academic background encompasses strong training in electronics, computing, and signal processing, complemented by extensive experience in teaching, research, and scholarly reviewing for reputed international journals. His research interests span computational genomics, machine learning-based biomedical systems, pattern recognition, and intelligent signal analysis. He has been actively engaged in professional peer-review activities for more than twenty journals, reflecting his standing within the global research community. His work integrates innovative algorithms with real-world applications, contributing to both theoretical advancement and practical solutions. Dr. Sharma continues to advance cutting-edge research aimed at addressing complex challenges across science and engineering.

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Featured Publications

Sharma, S. D., Shakya, K., & Sharma, S. N. (2011). Evaluation of DNA mapping schemes for exon detection. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET). (Cited by: 42).

Sharma, S., Sharma, S. N., & Saxena, R. (2020). Identification of short exons disunited by a short intron in eukaryotic DNA regions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(5). (Cited by: 33).

Sharma, S. D., Saxena, R., & Sharma, S. N. (2015). Identification of microsatellites in DNA using adaptive S-transform. IEEE Journal of Biomedical and Health Informatics, 19(3), 1097–1105. (Cited by: 23).

Garg, P., & Sharma, S. (2020). Identification of CpG islands in DNA sequences using short-time Fourier transform. Interdisciplinary Sciences: Computational Life Sciences, 12(3), 355–367. (Cited by: 19).

Sharma, S. D., Saxena, R., Sharma, S. N., & Singh, A. K. (2015). Short tandem repeats detection in DNA sequences using modified S-transform. International Journal of Advances in Engineering and Technology, 8(2). (Cited by: 16).

Kabil Dev Mahato | Spectroscopy | Editorial Board Member

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Mr. Kabil Dev Mahato | Spectroscopy | Editorial Board Member

National Institute of Technology Jamshedpur | India

Kapil Dev Mahato is a researcher in physics whose work spans laser spectroscopy, computational chemistry, and data-driven modeling of organic dyes. His scientific contributions focus on predicting photophysical properties such as absorption and emission wavelengths, quantum yields, Stokes shift values, and Förster distance parameters using advanced machine-learning approaches. He has authored multiple peer-reviewed journal articles, conference papers, review works, and a book chapter, reflecting strong academic engagement and interdisciplinary impact. His Google Scholar profile reports 153 citations, an h-index of 7, and an i10-index of 6, demonstrating growing recognition in spectroscopy and machine-learning research communities. His academic training includes strong foundations in physics at both undergraduate and postgraduate levels, further strengthened by competitive national research fellowships. He has collaborated with experts in spectroscopy and computer science, contributing to work on fluorescent dyes, sol-gel systems, optical materials, and predictive ML models for scientific and biomedical data. His research interests include organic dye photophysics, fluorescence mechanisms, nanomaterials, ensemble learning methods, and scientific data modeling. He has participated in multiple national and international conferences, presenting work on spectroscopy and machine-learning applications. His overall profile highlights consistent research productivity, interdisciplinary collaboration, and commitment to advancing spectroscopy and computational modeling.

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Featured Publications

Mahato, K. D., & Kumar, U. (2024). Optimized machine learning techniques enable prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 308, 123768.

Mahato, K. D., Das, S. S. K., Azad, C., & Kumar, U. (2024). Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields. APL Machine Learning, 2(1).

Bhowmick, A., Mahato, K. D., Azad, C., & Kumar, U. (2022). Heart disease prediction using different machine learning algorithms. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (pp. 60–65).

Mahato, K. D., Das, S. S. G. K., Azad, C., & Kumar, U. (2024). Stokes shift prediction of fluorescent organic dyes using machine learning-based hybrid cascade models. Dyes and Pigments, 222, 111918.

Mahato, K. D., & Kumar, U. (2023). A review of organic dye-based nanoparticles: Preparation, properties, and engineering/technical applications. Mini-Reviews in Organic Chemistry, 20(7), 655–674.