Yongfeng Jiang | Materials Science | Outstanding Scientist Award

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Prof. Yongfeng Jiang | Materials Science | Outstanding Scientist Award

Director at Hohai University, China

Yongfeng Jiang is a distinguished professor specializing in multi-physics simulation, machine learning, and multi-objective optimization. With a strong background in materials engineering, his research contributes to advancing industrial processes and engineering applications. His interdisciplinary approach integrates computational modeling and artificial intelligence to optimize materials processing, making significant impacts in both academia and industry.

Professional Profile 

Education

Born in Huining, Gansu Province, China, in 1974, Yongfeng Jiang pursued his higher education in materials engineering. He earned his Ph.D. in Material Processing Engineering and Science from Shanghai Jiao Tong University in 2004, a globally recognized institution for engineering and technology. His academic journey equipped him with expertise in advanced materials research and computational simulation techniques.

Professional Experience

Currently, he serves as a Professor at the College of Materials and Engineering, Hohai University. His research focuses on applying multi-physics simulation and machine learning to enhance materials processing and optimization techniques. His contributions to computational materials science have positioned him as a leading figure in his field.

Research Interest

Yongfeng Jiang’s research focuses on multi-physics simulation, machine learning, and multi-objective optimization in materials engineering. His work integrates computational modeling and artificial intelligence to enhance materials processing, improve structural performance, and optimize manufacturing techniques. By applying advanced simulation techniques, he aims to develop efficient, high-performance materials with improved mechanical and thermal properties. His interdisciplinary research has broad applications in aerospace, automotive, and industrial engineering, where precision and efficiency are critical.

Awards and Honors

Yongfeng Jiang has made significant contributions to materials processing and computational engineering, although specific awards and honors are not mentioned. If he has received national research grants, patents, or recognition from professional organizations, these achievements would further highlight his impact. His work in machine learning-driven materials optimization could position him as a recipient of prestigious academic and industry awards related to materials science and engineering.

Research Skills

Yongfeng Jiang possesses expertise in multi-physics simulation, machine learning algorithms, and optimization techniques. His skills include finite element analysis (FEA), computational modeling, and artificial intelligence applications in materials science. He is proficient in using advanced software tools and programming languages for simulation and optimization, enabling precise material behavior predictions. His ability to integrate data-driven decision-making with engineering principles allows for innovative solutions in materials design and manufacturing.

Conclusion

Yongfeng Jiang is a strong candidate for the Outstanding Scientist Award due to his expertise in material processing, simulation, and machine learning-driven optimization. However, providing additional details on his publication impact, leadership roles, and research contributions would strengthen his nomination. If he has a substantial track record of high-impact publications, patents, and industry collaborations, he would be an excellent choice for the award.

Jyoti Katyal | Physics and Astronomy | Best Researcher Award

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Dr. Jyoti Katyal | Physics and Astronomy | Best Researcher Award

Assistant Professor atAmity Institute of Applied Science, Amity University, Noida, India

Dr. Jyoti Katyal, an Assistant Professor at Amity University, Noida, holds a PhD from the prestigious Indian Institute of Technology (IIT) Delhi, with expertise in plasmonic nanostructures and their applications in biosensors and SERS substrates. With over a decade of research experience, her work focuses on computational modeling and optimization of metallic nanostructures across the deep-UV to NIR spectrum, aiming to enhance refractive index sensitivity and field enhancement properties. She has an impressive publication record with numerous Scopus-indexed research papers, book chapters, and conference presentations. Dr. Katyal has also received several recognitions, including the International Best Researcher Award (ISSN-2022) and Best Paper Award at ICADMA 2020. Besides her research contributions, she actively participates in academic administration, quality assurance, and mentoring students. Her dedication to advancing plasmonics research and her involvement in organizing scientific events make her a strong candidate for the Best Researcher Award.

Professional Profile 

Education

Dr. Jyoti Katyal has a strong academic background rooted in prestigious institutions and multidisciplinary research. She earned her PhD from the renowned Indian Institute of Technology (IIT) Delhi, specializing in plasmonic nanostructures and their applications in biosensors and Surface-Enhanced Raman Spectroscopy (SERS). Her doctoral research combined computational modeling and experimental techniques to design and optimize metallic nanostructures across various spectral ranges, from deep-UV to near-infrared (NIR). Prior to her PhD, she completed her Master’s and Bachelor’s degrees with a focus on physics and nanotechnology, equipping her with a solid foundation in material science, optics, and sensor development. Throughout her educational journey, Dr. Katyal developed expertise in advanced computational tools, numerical simulation techniques, and analytical characterization methods. Her academic training, enriched by research fellowships and collaborative projects, has laid a strong foundation for her contributions to academia, scientific innovation, and mentoring the next generation of researchers.

Professional Experience

Dr. Jyoti Katyal has built a diverse and impactful professional career, combining academic excellence with innovative research and collaborative projects. Currently, she serves as an Assistant Professor at Netaji Subhas University of Technology (NSUT), Delhi, where she mentors students and leads cutting-edge research in nanotechnology, plasmonics, and sensor development. Her professional journey includes extensive post-doctoral research experience at prestigious institutions, where she worked on interdisciplinary projects involving biosensors, nanomaterials, and advanced computational modeling. Dr. Katyal has also collaborated with leading national and international researchers, contributing to high-impact publications in reputed journals. Her expertise spans both theoretical and experimental research, allowing her to bridge the gap between computational design and real-world applications. In addition to her research, Dr. Katyal actively participates in academic committees, curriculum development, and research grant proposals, making significant contributions to the advancement of scientific knowledge and fostering innovation-driven education in the field of nanotechnology and materials science.

Research Interest

Dr. Jyoti Katyal is primarily interested in plasmonic nanostructures and their applications, with a focus on designing and optimizing metallic nanostructures for biosensing, plasmonic sensors, and SERS substrates. Her research explores computational modeling techniques using advanced simulation tools such as Lumerical’s FDTD software to analyze plasmonic responses across the deep-UV, visible, and near-infrared spectra. She investigates how variations in size, shape, and material composition influence localized surface plasmon resonances, field enhancement, and refractive index sensitivity. By developing novel nanostructured configurations, Dr. Katyal aims to enhance sensing performance and broaden spectral applicability. Her work also extends to optimizing plasmonic multilayered systems and exploring hetero-dimer or -trimer structures, with a keen focus on achieving high figures of merit for biosensing applications. This interdisciplinary research bridges materials science, optics, and nanotechnology, contributing significantly to advanced sensor design and functional nanomaterials. Continuously pushing boundaries, her innovative work promises next-generation diagnostic tools and breakthrough applications.

Awards and Honors

Dr. Jyoti Katyal has been recognized with several prestigious awards and honors that underscore her significant contributions to research and academia. Notably, she received the International Best Researcher Award from the International Society for Scientific Network Awards in 2022 for her work on the theoretical study of Magnetic-Plasmonic Fe-Al core-shell nanostructures for sensing applications. Additionally, she was honored with the Best Paper Award at the International Conference on Advances in Materials Processing & Manufacturing Applications (ICADMA 2020) for her research on localized surface plasmon resonance and field enhancement in metallic nanostructures. Her expertise and innovative work have earned her invitations as a jury member for research evaluations at IIT Delhi Open House 2024 and as an invited speaker at high-profile conferences such as ICRTMD-2023. Further, her active role as a reviewer and editorial board member for renowned journals reflects her esteemed position in the scientific community. Her work remains impactful.

Research Skills

Dr. Jyoti Katyal exhibits exceptional research skills underpinned by a robust foundation in theoretical and experimental methodologies. Her expertise encompasses advanced computational modeling techniques and the proficient use of simulation tools, such as Lumerical’s FDTD software, to analyze and optimize plasmonic nanostructures. Through meticulous design and systematic investigation, she explores size, shape, and material parameters to enhance localized surface plasmon resonances, field enhancement, and refractive index sensitivity. Her work reflects a deep understanding of the interplay between material properties and optical phenomena, enabling her to innovate sensor designs for biosensing and surface-enhanced Raman scattering applications. Dr. Katyal demonstrates strong analytical thinking, attention to detail, and a rigorous approach to hypothesis testing and data interpretation. Her collaborative mindset and leadership in guiding graduate research further amplify her ability to produce high-impact scientific contributions and foster advancements in nanotechnology and materials science. Her relentless pursuit of excellence consistently drives transformative global discoveries.

Conclusion

Dr. Jyoti Katyal’s track record, research focus, publication record, invited talks, peer-review responsibilities, and awards make her a highly deserving candidate for a Best Researcher Award. Her work in plasmonic nanostructures and biosensors is highly relevant to current scientific and technological challenges.

If the award criteria prioritize publication volume, conference participation, and academic engagement, she is highly suitable.
If the focus is on high-impact publications, funded projects, patents, or industry collaboration, some minor gaps exist, but they do not significantly detract from her overall suitability.

Publications Top Noted

  • Katyal, J., & Soni, R.K. (2013). Size- and shape-dependent plasmonic properties of aluminum nanoparticles for nanosensing applications. Journal of Modern Optics, 60(20), 1717–1728.
  • Katyal, J., & Soni, R.K. (2014). Localized surface plasmon resonance and refractive index sensitivity of metal–dielectric–metal multilayered nanostructures. Plasmonics, 9, 1171–1181.
  • Katyal, J. (2021). Localized surface plasmon resonance and field enhancement of Au, Ag, Al and Cu nanoparticles having isotropic and anisotropic nanostructure. Materials Today: Proceedings, 44, 5012–5017.
  • Katyal, J., & Soni, R.K. (2015). Field enhancement around Al nanostructures in the DUV–visible region. Plasmonics, 10, 1729–1740.
  • Katyal, J. (2018). Plasmonic coupling in Au, Ag and Al nanosphere homo-dimers for sensing and SERS. Advanced Electromagnetics, 7(2), 83–90.
  • Katyal, J. (2019). Comparison of localised surface plasmon resonance and refractive index sensitivity for metallic nanostructures. Materials Today: Proceedings, 18, 613–622.
  • Faujdar, S., Pathania, P., & Katyal, J. (2022). Systematic investigation of transition metal nitrides (ZrN, TiN) based plasmonic multilayered core–shell nanoparticle for sensing. Materials Today: Proceedings, 57, 2295–2298.
  • Sharma, C., Katyal, J., Deepanshi, & Singh, R. (2023). Effect of monomers and multimers of gold nanostars on localized surface plasmon resonance and field enhancement. Plasmonics, 18(6), 2235–2245.
  • Katyal, J. (2020). Al-Au heterogeneous dimer–trimer nanostructure for SERS. Nanoscience & Nanotechnology-Asia, 10(1), 21–28.
  • Katyal, J. (2019). Comparative Study Between Different Plasmonic Materials and Nanostructures for Sensor and SERS Application. In Reviews in Plasmonics (pp. 77–108).
  • Sharma, C., Katyal, J., & Singh, R. (2023). Aluminum Nano Stars with Localized Surface Plasmon Resonance and Field Enhancement. Nanoscience & Nanotechnology-Asia, 13(4), 57–64.
  • Sharma, C., Katyal, J., & Singh, R. (2023). Plasmon Tunability and Field Enhancement of Gold Nanostar. Nanoscience & Nanotechnology-Asia, 13(3), 13–18.
  • Faujdar, S., Nayal, A., Katyal, J., & Pathania, P. (2025). Simulation of TiN Nanospheres, Nanoellipsoids, and Nanorings for Enhanced Localized Surface Plasmon Resonance and Field Amplification. ChemistrySelect, 10(9), e202404987.
  • Yashika & Katyal, J. (2024). Detailed Analysis of Size and Shape of TiN Nanostructure on Refractive Index-Based Sensor. Plasmonics, 1–11.
  • Katyal, J. (2022). Plasmonic Properties of Al2O3 Nanoshell with a Metallic Core. Micro and Nanosystems, 14(3), 243–249.

Radhika khanna | Chemistry | Best Researcher Award

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Mrs. Radhika khanna | Chemistry | Best Researcher Award

Researcher at FRI, India

Mrs. Radhika Khanna is an accomplished researcher and educator whose career embodies a seamless blend of academic excellence and innovative scientific inquiry. Her work spans multiple disciplines, merging the realms of medical sciences, chemistry, and education to generate impactful research and practical solutions. With an impressive portfolio that includes significant research publications and a patented formulation for diabetes management, she has consistently demonstrated her ability to convert theoretical knowledge into real-world applications. In addition to her research, she has been an inspiring teacher, effectively engaging students at both TGT and PGT levels. Her active participation in national and international conferences, along with her continuous pursuit of professional development through various certification programs, reflects her unwavering commitment to advancing science and education. As she continues her Ph.D. journey at a prestigious research institute, her dynamic contributions mark her as a promising leader in the scientific community.

Professional Profile 

Education

Mrs. Radhika Khanna’s academic journey is marked by diversity and determination. She began her formal education at Shri Ram Ashram Public School, Amritsar, where she completed her SSC with commendable performance in 2010–2011. Building on this strong foundation, she pursued her HSC at Bhavans SL Public School, Amritsar in 2012–2013, securing an impressive 84%. She then obtained her Bachelor of Science in Medical from S.R. Government College, Amritsar (2013–2016), followed by a Master of Science in Chemistry from Khalsa College, Amritsar (2016–2018). Demonstrating a passion for teaching alongside scientific inquiry, she completed her B.Ed in Science at M.L.M College, Amritsar (2018–2020). Currently, she is advancing her scholarly pursuits through a Ph.D. at the Forest Research Institute, Dehradun, where her thesis has been completed and is under review, highlighting her dedication to research and academic excellence.

Professional Experience

Mrs. Radhika Khanna has built a robust professional profile that bridges high-caliber research and impactful teaching. Her early career was marked by her involvement in a research project on the design and synthesis of Schiff base-based chemosensors at Khalsa College, Amritsar (2017–2018) under the mentorship of Dr. Kuljit Kaur. She then transitioned into the field of education, serving as a TGT and PGT Chemistry teacher at Shri Ram Ashram Public School, Amritsar from 2018 to 2020, where she employed innovative and interactive teaching methods. In 2020, she furthered her research career with a project on the chemical characterization of forest genetic resources at the Forest Research Institute, Dehradun, under the guidance of Dr. V.K. Varshney. In parallel, she has actively participated in various national and international conferences, presenting her findings and earning accolades such as a best poster award, thereby enhancing her reputation as both a dedicated researcher and an influential educator.

Research Interest

Mrs. Radhika Khanna’s research interest lies at the intersection of natural product chemistry and sustainable forest resource management. She is particularly focused on the chemical characterization and pharmacological evaluation of bioactive compounds derived from lesser-known forest species. Her work encompasses the exploration of novel natural antioxidants, anti-inflammatory agents, and antidiabetic compounds, with a significant emphasis on Cupressus torulosa. By employing advanced techniques such as UPLC-QTOF-MS, LCMS, and GCMS, she aims to elucidate the metabolomic profiles of these plants and establish their potential for therapeutic applications. Her research not only contributes to the scientific understanding of plant-based bioactives but also supports the sustainable utilization of forest genetic resources. Through this work, she seeks to bridge traditional knowledge with modern analytical science, thereby paving the way for innovative drug discovery and environmental conservation strategies that can benefit both human health and biodiversity.

Awards and Honors

Mrs. Radhika Khanna has received several accolades and recognitions that underscore her commitment to scientific excellence and innovation. Among her notable honors is the best poster award, which was conferred at a national conference highlighting her exceptional presentation on the toxicity studies and hypoglycemic activity of natural extracts. In addition, she holds a patent for a formulation aimed at treating diabetes mellitus and its complications, marking a significant milestone in her research career. Her active participation and presentations at international conferences, such as those in Nepal and during the Young Scientist Conference organized by prestigious governmental bodies, further attest to her research prowess. These awards and honors not only recognize her technical expertise and innovative approach but also inspire her continuous pursuit of excellence in both academic and applied research domains.

Research Skills

Mrs. Radhika Khanna possesses a robust set of research skills that are integral to her success as a scientist and educator. Her technical proficiency spans a wide array of advanced analytical instruments including UV/IR spectroscopy, GCMS, HPLC, LCMS, and GCFID, which she utilizes to perform detailed chemical analyses and compound characterizations. She is adept at employing chromatographic techniques such as column and flash chromatography to isolate and purify complex mixtures. In addition to her laboratory skills, she is proficient in data interpretation, enabling her to draw meaningful conclusions from experimental results. Her computational skills, including proficiency in C++, HTML, and various graphic design tools like Corel Draw and Adobe Photoshop, further enhance her ability to present and communicate research findings effectively. Overall, her blend of technical expertise, analytical rigor, and innovative thinking positions her as a highly capable researcher with a significant impact on both scientific inquiry and applied research practices.

Conclusion

Radhika Khanna stands out as a strong candidate for the Best Researcher Award. Her multidisciplinary expertise, advanced technical skills, and a growing portfolio of high-quality research outputs make her well-suited for this recognition. With strategic improvements—especially in fostering collaborations, enhancing her publication profile, and strengthening grant acquisition—she has the potential to significantly elevate her research impact and contribute even more robustly to her field.

Publications Top Noted

Publication 1:
Title: In vitro and in vivo anti-inflammatory activity of Cupressus torulosa D. DON needles extract and its chemical characterization
Authors: R Khanna, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2023
Citation: Journal of Ethnopharmacology, Volume 314, Article 116578 (2023).

Publication 2:
Title: Cupressus torulosa, a Source of Antioxidant Polyphenols: An Analytical and Pharmacological Study
Authors: R Khanna, HR Chitme, K Bhadoriya, VK Varshney
Year: 2025
Citation: Rapid Communications in Mass Spectrometry, Volume 39, Issue 3, Article e9945 (2025).

Publication 3:
Title: In Vitro and In Vivo Assessment of Antidiabetic Activity of Cupressus torulosa D. Don Needles, Their LCQTOFMS Assisted Metabolite Profiling, and Implications for Diabetes Management
Authors: R Khanna, HR Chitme, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2025
Citation: Journal of Mass Spectrometry: JMS, Volume 60, Issue 3, Article e5117 (2025).

Publication 4:
Title: UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse C. torulosa needles
Authors: R Khanna, VK Varshney, K Bhadoriya
Year: 2025
Citation: Analytical Methods (2025).

Publication 5:
Title: Toxicity studies, Hypoglycaemic activity of Cupressus torulosa needles and recognition of active molecules
Authors: R Khanna
Year: [Year not specified]
Citation: MDPI – [Further citation details not provided].

Dr.N Shirisha | Computer Science | Women Researcher Award

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Mrs. Dr.N Shirisha | Computer Science | Women Researcher Award

Associate Professor at MLR Institute of Technology, India

Dr. Shirisha Nalla is a distinguished researcher and academic with a robust profile characterized by innovative research contributions, technological expertise, and a passion for advancing software engineering. Her career is highlighted by numerous high-quality publications in internationally recognized journals and conferences. She has made significant strides in diverse research areas including quantum key distribution, cloud security, IoT applications, and deep learning, which have led to multiple patents and innovative solutions. Dr. Nalla’s interdisciplinary approach and commitment to excellence are evident from her consistent record of first-class academic achievements and leadership roles in various academic and research initiatives. Her work not only bridges theoretical advancements and practical implementations but also supports student development and departmental growth. Driven by curiosity and determination, she continues to explore emerging technologies and foster a collaborative research environment that inspires peers and students alike. Her impressive track record and dedication mark her as an influential leader.

Professional Profile 

Education

Dr. Shirisha Nalla has established a strong academic foundation through exemplary performance at every stage of her education. She earned her Ph.D. from K L University in 2021, following her M.Tech in Software Engineering from DRK Institute Of Science & Technology, affiliated with Jawaharlal Nehru Technological University, where she excelled with First Class Distinction during 2010-2012. Earlier, she completed her B.Tech in Computer Science & Engineering from Malla Reddy Institute of Technology & Science under JNTU in 2005-2009, again graduating with First Class Distinction. Her formative years were marked by consistent excellence in academics, as she secured First Class Distinction in Intermediate studies and her 10th class examinations. Each milestone of her education reflects a commitment to rigorous study, technical proficiency, and intellectual curiosity, laying the groundwork for a career in research and software development. Her academic achievements are a testament to her discipline, resilience, and lifelong pursuit of knowledge.

Professional Experience

Dr. Shirisha Nalla brings over a decade of teaching and research experience to her academic career. She has served as an Associate Professor at Malla Reddy Institute of Technology & Science for more than 10.5 years, contributing significantly to curriculum development, research mentorship, and departmental leadership. Prior to this role, she gained valuable experience as an Assistant Professor at multiple institutions, including one year at SMEC, one year at NNRG, and three years at DRK Institute Of Science & Technology. In these roles, she has taught a wide range of subjects including mobile application development, operating systems, big data analytics, and machine learning, among others. Her professional journey is marked by a commitment to academic excellence, innovative teaching methods, and active participation in research projects, hackathons, and technology initiatives, which have enriched her pedagogical approach and furthered her impact on the academic community. Her experience continues to inspire academic innovation.

Research Interest

Dr. Shirisha Nalla’s research interests lie at the intersection of cybersecurity, big data analytics, and advanced machine learning techniques. Her work focuses on developing robust security mechanisms for cloud and IoT environments, including innovative applications of quantum key distribution and cryptographic protocols to safeguard data transmission. She also explores the integration of blockchain with federated learning in vehicular networks, and designs intelligent systems for healthcare applications such as smart medical devices and EHR analytics. Additionally, her interests extend to deep learning applications for sign language conversion, automated machine learning using MLOps, and predictive modeling in areas like weather forecasting and real estate valuation. This interdisciplinary approach bridges theoretical advancements with practical implementations, driving innovation across multiple high-impact domains. Her research not only enhances the security and efficiency of digital systems but also paves the way for scalable and intelligent solutions in modern technology.

Awards and Honors

Dr. Shirisha Nalla has consistently received recognition for her academic excellence and innovative contributions in the field of software engineering and research. Her distinguished academic record, underscored by First Class with Distinction achievements at every educational milestone, reflects her unwavering commitment to excellence. Beyond academics, her numerous patents and high-quality publications in reputed journals and international conferences stand as a testament to her pioneering work. Dr. Nalla’s accolades include certifications such as the IUCEE Phase-I and several elite SWAYAM-NPTEL credentials, highlighting her advanced proficiency in emerging technologies. These honors underscore not only her technical expertise but also her ability to translate research into practical, real-world solutions. Her achievements continue to serve as a motivational beacon for emerging researchers, setting exemplary standards nationwide and inspiring both peers and students to pursue innovative and impactful research.

Research Skills

Dr. Shirisha Nalla exhibits a broad spectrum of research skills that have propelled her to the forefront of her discipline. With expertise in programming languages including R, C, C++, Java, and Python, she adeptly develops complex algorithms and software solutions to address modern challenges. Her proficiency extends to various scripting languages and database management systems, allowing her to harness large datasets for insightful analysis and model development. Dr. Nalla is well-versed in advanced methodologies such as deep learning, machine learning, and MLOps, as evidenced by her prolific publication record and patented innovations. Her interdisciplinary approach enables effective integration of cybersecurity, big data, and IoT applications. Furthermore, her hands-on experience in real-world projects, combined with her academic teaching, has refined her analytical and problem-solving skills, fostering a culture of continuous learning and innovation. This balance of technical expertise and creative research acumen underlines her significant contributions to the field.

Conclusion

Dr. Shirisha Nalla’s profile demonstrates a high level of academic excellence, a prolific and diversified research output, and a strong commitment to innovation and mentorship. These attributes make her an excellent candidate for the Women Researcher Award. While further emphasis on measurable impact and interdisciplinary outreach could enhance her profile even more, her overall contributions to software engineering and related fields stand out as both influential and inspiring.

Publications Top Noted

  • Implementation of an smart waste management system using IoT
    • Authors: P Haribabu, SR Kassa, J Nagaraju, R Karthik, N Shirisha, M Anila
    • Year: 2017
    • Citations: 50

  • K-Anonymization approach for privacy preservation using data perturbation techniques in data mining
    • Authors: A Kiran, N Shirisha
    • Year: 2022
    • Citations: 29

  • IoT based Smart Door lock system
    • Authors: G Sowmya, GD Jyothi, N Shirisha, K Navya, B Padmaja
    • Year: 2018
    • Citations: 24

  • The association between psychological stress and recurrent aphthous stomatitis among medical and dental student cohorts in an educational setup in India
    • Authors: AK Rao, S Vundavalli, NR Sirisha, CH Jayasree, G Sindhura, D Radhika
    • Year: 2015
    • Citations: 21

  • HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems
    • Authors: C Veena, M Sridevi, KKS Liyakat, B Saha, SR Reddy, N Shirisha
    • Year: 2023
    • Citations: 18

  • IoT based air pollution monitoring system
    • Authors: K Nirosha, B Durgasree, N Shirisha
    • Year: 2017
    • Citations: 10

  • Authorization of data in hadoop using apache sentry
    • Authors: N Sirisha, KV Kiran
    • Year: 2018
    • Citations: 9

  • IoT-based data quality and data preprocessing of multinational corporations
    • Authors: N Sirisha, M Gopikrishna, P Ramadevi, R Bokka, KVB Ganesh, …
    • Year: 2023
    • Citations: 8

  • Stock exchange analysis using Hadoop user experience (Hue)
    • Authors: N Sirisha, KVD Kiran
    • Year: 2017
    • Citations: 8

  • Oral health related quality of life among special community adult population with low socioeconomic status residing in Guntur city, Andhra Pradesh: A cross-sectional study
    • Authors: NR Sirisha, P Srinivas, S Suresh, T Devaki, R Srinivas, BV Simha
    • Year: 2014
    • Citations: 7

  • Efficient automation using DTMF
    • Authors: SK Shareef, N Shirisha
    • Year: 2020
    • Citations: 6

  • Recent investigation on fuels, EV and hybrid electrical vehicles impacts on pollution control techniques and predictions using IOT technology
    • Authors: N Sirisha, B Cherukuru, VSS Ganni, MA Reddy
    • Year: 2021
    • Citations: 5