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 

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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