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

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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

Rajesh Pandiyan | Wastewater Management | Emerging Scientist Award

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Assoc. Prof. Dr. Rajesh Pandiyan | Wastewater Management | Emerging Scientist Award

Bharath Institute of Higher Education and Research | India

Dr. Rajesh Pandiyan is a dedicated researcher and academic with expertise spanning microbiology, biochemistry, materials engineering, and pharmaceutical technology. He has served in progressive teaching and research roles across leading institutions, contributing significantly to interdisciplinary advancements. His research journey includes extensive work in nanocomposite-based ultrafiltration membranes, magnetic nanomaterials for targeted drug delivery, medicinal plant-based therapeutics, and biochemical models for autoimmune and inflammatory diseases. He has also worked on environmental biotechnology, wastewater remediation, tissue engineering, and drug discovery. With a strong academic foundation built through doctoral and postgraduate training in microbiology, biochemistry, and chemistry, he has developed a wide research portfolio combining materials chemistry with biological applications. His scholarly contributions include 67 peer-reviewed research and review articles, supported by an H-index of 19, i10-index of 27, and more than 1300 citations, reflecting global recognition of his work. He has delivered invited talks, chaired scientific sessions, and served as a resource person for various scientific forums, in addition to contributing as an editorial member for reputed journals. His awards span excellence in research, oral and poster presentations, and international recognition for scientific contributions. Overall, his work integrates innovation and multidisciplinary approaches aimed at solving challenges in healthcare, environment, and materials science.

Profile: Google Scholar

Featured Publications

Pandiyan, R., & Collaborators. (n.d.). Nanocomposite-doped PES and PVDF membranes for environmental biotechnology applications. Journal of Membrane Science.

Pandiyan, R., & Collaborators. (n.d.). Magnetic nanocomposites for joint-targeted therapy in rheumatoid arthritis models. International Journal of Pharmaceutics.

Pandiyan, R., & Collaborators. (n.d.). Evaluation of medicinal plants for anti-arthritic potential using experimental inflammation models. Journal of Ethnopharmacology.

Pandiyan, R., & Collaborators. (n.d.). Curcuma longa extract against ethanol-induced liver toxicity: A biochemical and histopathological investigation. Biochemistry and Biophysics Reports.

Pandiyan, R., & Collaborators. (n.d.). Advances in wastewater remediation using nanomaterial-based filtration systems. Environmental Science and Pollution Research.

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.

Profile: Google Scholar 

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

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.

Profile: Google Scholar

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.

Archna Dhasmana | Nanobiotechnology | Best Researcher Award

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Assist. Prof. Dr. Archna Dhasmana | Nanobiotechnology | Best Researcher Award

School of Biosciences, Swami Rama Himalayan University | India

Dr. Archna Dhasmana is an accomplished academic and researcher specializing in Tissue Engineering, Nanobiotechnology, and Regenerative Medicine. Her research focuses on biomolecule and drug delivery systems, polymeric scaffolds, and smart biomaterials for tissue remodeling and cancer theranostics. With over 40 peer-reviewed publications in high-impact SCI and Scopus-indexed journals such as Scientific Reports, Biomedicines, Frontiers in Bioengineering and Biotechnology, and Nanoscale, her work demonstrates significant contributions to biomedical innovation. She has achieved an H-index of 13, i10-index of 15, and 918 citations, reflecting strong research impact.Dr. Dhasmana’s funded projects include pioneering studies in bioengineered grafts, biogenic nanoparticles, and green nanotechnology for sustainable biomedical applications. She has successfully led and co-led projects supported by DHR, Ministry of Health and Family Welfare (₹75 lakhs) and institutional research grants. Her interdisciplinary research integrates molecular biology, polymer science, and nano-engineering to design next-generation biocompatible materials.

Profile: Google Scholar

Featured Publications

Gupta, S. K., Mishra, N. C., & Dhasmana, A. (2017). Decellularization methods for scaffold fabrication. In Decellularized scaffolds and organogenesis: Methods and protocols (pp. 1–10).

Malik, S., Kishore, S., Dhasmana, A., Kumari, P., Mitra, T., Chaudhary, V., … (2023). A perspective review on microbial fuel cells in treatment and product recovery from wastewater. Water, 15(2), 316.

Bhattacharjee, R., Kumar, L., Mukerjee, N., Anand, U., Dhasmana, A., … (2022). The emergence of metal oxide nanoparticles (NPs) as a phytomedicine: A two-facet role in plant growth, nano-toxicity and anti-phyto-microbial activity. Biomedicine & Pharmacotherapy, 155, 113658.

Bhandari, G., Dhasmana, A., Chaudhary, P., Gupta, S., Gangola, S., Gupta, A., … (2023). A perspective review on green nanotechnology in agro-ecosystems: Opportunities for sustainable agricultural practices and environmental remediation. Agriculture, 13(3), 668.

Dhasmana, A., Singh, A., & Sagar, R. (2020). Biomedical grafts for tracheal tissue repairing and regeneration: Tracheal tissue engineering—An overview. Journal of Tissue Engineering and Regenerative Medicine, 14(1), 653–672.

Riya Mukherjee | Meta Research | Best Researcher Award

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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.

Profile: Google Scholar

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.

Hiren Raval | Membrane Science | Best Researcher Award

Published-on by Indian Scientist

Dr. Hiren Raval | Membrane Science | Best Researcher Award

CSIR-CSMCRI (Central salt and marine chemical research Institute | India

Dr. Hiren D. Raval is a Senior Principal Scientist at CSIR–CSMCRI, Bhavnagar, specializing in sustainable water desalination, membrane technology, and process innovation. His pioneering work includes the development of thin-film composite RO and ultrafiltration membranes, low-fouling surfaces, and high-efficiency desalination systems. As Principal Investigator of multiple DST-funded projects, he established pilot-scale facilities for rejuvenation of end-of-life RO membranes, a technology now successfully transferred to industry. Dr. Raval has published over 50 peer-reviewed journal papers and holds patents in membrane transformation and salt recovery processes. With an H-index of 17, he has contributed significantly to the fields of water treatment, nanocomposite membranes, and resource recovery. His leadership has secured competitive research funding exceeding INR 4.5 crore and advanced the TRL level of several membrane technologies.

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Featured Publications

Raval, H. D., Trivedi, J. J., Joshi, S. V., & Devmurari, C. V. (2010). Flux enhancement of thin film composite RO membrane by controlled chlorine treatment. Desalination, 250(3), 945–949. https://doi.org/10.1016/j.desal.2009.09.090

Raval, H. D., Rana, P. S., & Maiti, S. (2015). A novel high-flux, thin-film composite reverse osmosis membrane modified by chitosan for advanced water treatment. RSC Advances, 5(9), 6687–6694. https://doi.org/10.1039/C4RA13349J

Ankoliya, D., Mehta, B., & Raval, H. (2019). Advances in surface modification techniques of reverse osmosis membrane over the years. Separation Science and Technology, 54(3), 293–310. https://doi.org/10.1080/01496395.2018.1479049

Meena, R., Chaudhary, J. P., Agarwal, P. K., Maiti, P., Chatterjee, S., & Raval, H. D., et al. (2014). Surfactant-induced coagulation of agarose from aqueous extract of Gracilaria dura seaweed as an energy-efficient alternative to the conventional freeze–thaw process. RSC Advances, 4(53), 28093–28098. https://doi.org/10.1039/C4RA03406E

Raval, H. D., Chauhan, V. R., Raval, A. H., & Mishra, S. (2012). Rejuvenation of discarded RO membrane for new applications. Desalination and Water Treatment, 48(1–3), 349–359. https://doi.org/10.1080/19443994.2012.697034

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).

Banaja Mohanty | Energy | Best Researcher Award

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Assoc. Prof. Dr. Banaja Mohanty | Energy | Best Researcher Award

Veer Surendra Sai University of Technology | India

Dr. Banaja Mohanty is an accomplished Associate Professor at Veer Surendra Sai University of Technology (VSSUT), Burla, with a strong academic and research foundation in engineering and technology. With 47 published documents and 1,638 citations received from 1,270 referenced works, she has achieved an impressive h-index of 17, reflecting her consistent research impact in her field. Her scholarly contributions encompass areas such as renewable energy systems, power electronics, and smart grid technologies, with a particular focus on sustainable and efficient energy solutions. Dr. Mohanty has guided several research projects and collaborated with industry and academic partners to promote innovation-driven learning. She has contributed to leading SCI and Scopus-indexed journals, participated in national and international conferences, and has served as a reviewer and editorial board member for reputed journals. Her active involvement in academic development and mentoring young researchers has strengthened the research culture within her institution. Dr. Mohanty’s achievements are marked by her dedication to scientific excellence, innovation, and knowledge dissemination. Her continued commitment to advancing research in emerging technologies underscores her reputation as a distinguished academic and researcher, contributing significantly to the scientific community.

Profiles: Google Scholar | Scopus

Featured Publications

Mohanty, B., Panda, S., & Hota, P. K. (2014). Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. International Journal of Electrical Power & Energy Systems, 54, 77–85.

Panda, S., Mohanty, B., & Hota, P. K. (2013). Hybrid BFOA–PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems. Applied Soft Computing, 13(12), 4718–4730.

Mohanty, B., Panda, S., & Hota, P. K. (2014). Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Engineering Journal, 53(3), 537–552.

Hota, P. K., & Mohanty, B. (2016). Automatic generation control of multi source power generation under deregulated environment. International Journal of Electrical Power & Energy Systems, 75, 205–214.

Mohanty, B., & Tripathy, S. (2016). A teaching learning based optimization technique for optimal location and size of DG in distribution network. Journal of Electrical Systems and Information Technology, 3(1), 33–44.