Anusha Sowbarnika Veluswamy | Network Security | Women Researcher Award

Dr. Anusha Sowbarnika Veluswamy | Network Security | Women Researcher Award

Dr. Anusha Sowbarnika Veluswamy, Susquehanna University, United States

Dr. V. Anusha Sowbarnika is an Assistant Professor at Susquehanna University, Pennsylvania, USA. With a robust background in information technology, she focuses on cryptography, network security, and AI. Having published several research papers, she specializes in guiding students in advanced computing areas, including data mining, computer architecture, and cyber forensics. Dr. Sowbarnika fosters a multicultural learning environment and integrates critical thinking into her teaching methods, aiming to inspire and motivate students. She has six years of teaching experience and has worked in both academic and administrative roles. Additionally, she has experience in the financial sector, having worked as a Relationship Banker at Clinton Savings Bank.

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Suitability for the Research for Women Researcher Award

V. Anusha Sowbarnika’s background and achievements make her an excellent candidate for the Research for Women Researcher Award. She has demonstrated a strong commitment to both academic excellence and mentorship, particularly in the field of computer science and information technology. As an Assistant Professor at Susquehanna University, she not only teaches undergraduate and graduate students in diverse areas such as Artificial Intelligence, Data Mining, and Cyber Forensics, but also plays a pivotal role in guiding students to develop essential skills for their academic and professional growth.

Her expertise in emerging topics like cryptography, network security, and cloud computing security highlights her ability to contribute to cutting-edge research in the information technology domain. Anusha’s research has been recognized through publications in both national and international journals and conferences, focusing on cryptographic algorithms, cluster analysis, and cloud computing. This indicates her substantial contribution to advancing knowledge in her field, which aligns well with the goals of the Research for Women Researcher Award.

Education

Dr. Anusha Sowbarnika holds a Ph.D. in Information and Communication Engineering from Anna University, India. She completed her Master of Engineering in Computer Science and Engineering from Karpagam University, Coimbatore, India. Her academic journey began with a Bachelor of Engineering in Information Technology from Avinashilingam University for Women, Coimbatore. Her educational background provides a solid foundation for her research in network security, cryptography, and computing. She also holds certifications in teaching, including the ISTQB Certified Tester Foundation Level and certificates in teaching and learning from “Mission 10X” and “Seed”.

Professional Experience

Dr. Sowbarnika's professional career includes roles in academia and banking. At Susquehanna University, she designs and delivers high-quality instruction in computer science, guiding both undergraduate and graduate students. Her expertise spans Artificial Intelligence, Network Security, Data Mining, and Cryptography. Dr. Sowbarnika’s administrative experience includes curriculum design, assessment, and mentoring students. Before her current role, she was an Assistant Professor at Info Institute of Engineering, Kovilpalayam, and GKM College of Engineering & Technology in India. Additionally, she worked as a Relationship Banker at Clinton Savings Bank, providing excellent customer service and facilitating banking operations.

Awards and Recognition

Dr. Sowbarnika has been recognized for her academic excellence and contributions to research in computer science. She has published numerous papers in prestigious national and international journals and conferences, focusing on cryptographic algorithms, network security, and cloud computing. She has received awards for her role in enhancing student learning and engagement. Additionally, Dr. Sowbarnika has completed multiple Faculty Development Programs (FDPs) and workshops on topics such as Big Data Analytics, Cloud Computing, and Data Mining, underscoring her commitment to professional growth.

Research Skills On Network Security

Dr. Sowbarnika’s research expertise includes cryptography, network security, cloud computing security, and cyber forensics. Her work focuses on advanced cryptographic algorithms, data security, and the application of AI in enhancing network security. She has extensive experience in data mining, Python programming, and the development of secure systems in computing. Dr. Sowbarnika is skilled at guiding research projects, collaborating on academic research initiatives, and mentoring students in their research endeavors. Her interdisciplinary approach to solving complex problems in IT makes her a valuable asset to the field.

  Publication Top Notes

  1. Title: The security‐based optimization algorithm for enhancing the energy efficiency of wireless sensor networks
    Authors: V. Anusha Sowbarnika, M. Balasubramani, K. Kavitha
    Journal: International Journal of Communication Systems, 36(16), e5584
    Citations: 3
    Year: 2023

  2. Title: GPU acceleration using CUDA framework
    Authors: P.P. Nambiar, V. Saveetha, S. Sophia, V.A. Sowbarnika
    Journal: International Journal of Innovative Research in Computer and Communication Engineering
    Citations: 3
    Year: 2014

  3. Title: Enhanced security measures in wireless sensor networks: Leveraging random forest and k-means clustering for node replication attack detection
    Authors: V. Anusha Sowbarnika, R. Lokeshkumar, T. Gopalakrishnan, S. Priya, et al.
    Journal: International Journal of Computing and Digital Systems, 16(1), 1–19
    Citations: 2
    Year: 2024

  4. Title: Modeling of metaheuristic-based dual cluster head selection with routing protocol for energy-efficient wireless sensor networks
    Authors: P.K.S.S. Maddikera Krishna Reddy, Anusha Sowbarnika Veluswamy, S. Selvanayaki, C. [others not listed]
    Journal: Soft Computing
    Year: 2025

  5. Title: Improving Security and Communication Protocols in Smart Grid using Deep Learning to Ensure Data Privacy
    Authors: Anusha Sowbarnika Veluswamy, S. Thanga Ramya, D. Praveena, Issac [others not listed]
    Conference: International Conference on Optimization Techniques in the Field of ...
    Year: 2025

  6. Title: Natural Language Processing for Sentiment Analysis in Social Media Techniques and Case Studies
    Authors: A.M.M.V. Anusha Sowbarnika Veluswamy, A. Nagamani, M. SilpaRaj, D. Yobu
    Journal: ITM Web of Conferences, 76, 05004
    Year: 2025

  7. Title: Enhancing the Security and Energy Efficiency by Integrating Grid Based Adversarial Clustering and Ant Colony Optimization (ACO) in Wireless Sensor Networks
    Authors: V.A. Sowbarnika, M. Balasubramani, K. Kavitha
    Journal: International Journal of Advanced Science and Technology, 29(3), 11750–11759
    Year: 2020

  8. Title: Curtailing the Energy Consumption of Wireless Sensor Networks by Genetic Algorithm
    Authors: A.S. Veluswamy, M. Balasubramani, K. Kavitha
    Journal: International Journal of Analytical and Experimental Modal Analysis, 11
    Year: 2019

  9. Title: Evaluating the effects of Cryptographic Algorithms on Different sets of Data
    Authors: A.S. Veluswamy, M. Balasubramani, K. Kavitha
    Conference: SSRG International Journal of Computer Science and Engineering – (ICET’17)
    Year: 2017

  10. Title: Twitter Based Earthquake Alert System
    Authors: N.V. Anitha R., S. Selvakumar, V. Anusha Sowbarnika
    Journal: International Journal of Innovative Research in Computer and Communication Engineering
    Year: 2014

 

AparnaRajesh Atmakuri | Cybersecurity | Women Researcher Award

Dr. AparnaRajesh Atmakuri | Cybersecurity | Women Researcher Award

Dr. AparnaRajesh Atmakuri, Keshav memorial engineering College, India

Dr. AparnaRajesh Atmakuri, also known as Aparna Manikonda, is an esteemed academician and researcher with over 19 years of teaching and 12+ years of research experience. She has made remarkable strides in cybersecurity, cloud computing, IoT, and data analytics. Currently serving as Associate Professor at Centurion University of Technology and Management, she has also held influential positions at institutions like Aryan Institute of Engineering and GNITC. With a strong foundation in Computer Science and Engineering, her work reflects a blend of innovation, dedication, and leadership. A prolific author, Dr. Aparna has published 32+ journal papers, authored multiple books, and holds patents on advanced tech innovations. Known for her contributions to research and curriculum development, she is the recipient of the Best Researcher and Inspiring Professor Awards. Her commitment to securing digital ecosystems and mentoring future technologists continues to influence academia and industry alike.

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Suitability Summary for the Women researcher Award

Dr. Aparna Rajesh Atmakuri, also known as Aparna Manikonda, is an exceptionally qualified candidate for the Research for Women Researcher Award, demonstrating a well-rounded and impactful career in academia and research over nearly two decades. With over 19 years of teaching experience and more than 12 years in active research, Dr. Aparna has consistently shown commitment to innovation, scholarly excellence, and educational leadership. Her roles, including HOD and Associate Professor across top-tier institutions in India, reflect a strong academic foundation and influential leadership capabilities.

Dr. Aparna’s academic credentials are fortified by a Ph.D. in Computer Science and Engineering from VTU, multiple certifications in programming and pedagogy (such as Sun Java and Mission10x), and a diverse portfolio of technical subjects taught at both undergraduate and postgraduate levels. Her research interests span critical and modern technological domains like cybersecurity, blockchain, IoT, cloud computing, and data mining, placing her work at the heart of contemporary computer science challenges. Notably, she has published over 32 research papers in reputed international journals and conferences (including SCI and Scopus indexed), authored three technical books, and delivered numerous talks and chaired sessions in international forums.

Education

Dr. AparnaRajesh holds a Ph.D. in Computer Science and Engineering from VTU, Belagavi (2017–2023), where her research focused on cybersecurity and predictive systems. She earned her M.Tech with Honors in Computer Science from Biju Patnaik University of Technology (2008–2010) with a commendable CGPA of 9.04. Her academic journey began with a B.E. in Information Technology from the same university (2002–2006), where she secured the 7th rank. Alongside formal education, she has attained globally recognized certifications such as Sun Certified Java Programmer 1.5, Oracle Certified Associate/Professional (OCA/OCP), and Mission10X certification from Wipro. Her educational foundation has empowered her to excel in diverse teaching and research roles, equipping her with technical, analytical, and instructional prowess. Dr. Aparna’s blend of strong academic credentials and continued professional development positions her as a thought leader in emerging domains like blockchain, IoT, and cybersecurity.

Professional Experience

With a dynamic career spanning over 19 years, Dr. Aparna has held influential teaching and leadership roles at renowned institutions. Since July 2024, she has served as Associate Professor at Centurion University of Technology and Management. Prior to that, she was HOD and Associate Professor at Aryan Institute of Engineering and Technology (2019–2024), shaping academic policy and research culture. From 2017–2019, she was with GNITC, Hyderabad; and between 2014–2017, she served at CMRIT and BNMIT, Bangalore. Her earlier tenure at NMIT and NIST saw her playing pivotal roles in government-funded research projects. She has coordinated NBA and NAAC accreditations, supervised student projects, organized conferences, and delivered technical talks. Known for her visionary approach, Dr. Aparna blends deep academic insights with practical research implementations, contributing significantly to institution-building and tech-forward curricula.

Awards and Recognition

Dr. Aparna has earned numerous accolades for her academic and research excellence. In 2024, she was honored with the Inspiring Professor Award by Inspiring National Level Awards and the Best Researcher Award by HEAA for her groundbreaking work in cybersecurity and IoT. Her exceptional teaching at NIST earned her the Best Teacher Award for three consecutive years with a stellar student feedback score of 9.8. She was recognized with a publication honorarium and achieved branch-topper status in her M.Tech. program. Her academic journey is also marked by a 7th rank in her undergraduate degree. A prolific author, she has published 32+ international journal papers and 3 patents, besides authoring multiple technical books. She has chaired sessions at global conferences and delivered expert talks. Dr. Aparna’s contributions are a testament to her passion for education, mentorship, and disruptive technological innovation.

Research Skills On Cybersecurity

Dr. AparnaRajesh is a multi-disciplinary researcher skilled in cybersecurity, blockchain, cloud computing, and IoT. Her core expertise lies in developing secure and scalable architectures using advanced machine learning and encryption algorithms. She has actively contributed to DRDO-funded projects, including video summarization and real-time tracking systems, showcasing her hands-on research in defense applications. Her patents demonstrate deep proficiency in AI-based emotion detection, smart public transport, and IoT security. She excels in data mining, digital image processing, and network analysis. Her skill set includes formulating hybrid algorithms for energy-efficient cloud resource management and predictive cyber-attack models using Generative AI. These capabilities are complemented by her experience with industry-standard simulation tools, research publishing, and guiding postgraduate students. Her practical insights into both hardware and software components of secure systems make her a valuable asset to academic and R&D ecosystems.

  Publication Top Notes

  • Title: An efficient approach towards robust routing in MANET
    Authors: M. Aparna, M. Reza, P. Sahu, S. Das
    Citation: 2012 International Conference on Communication Systems and Network Technologies
    Year: 2012

  • Title: An adaptive load balancing strategy in cloud computing based on Map Reduce
    Authors: N. Sowmya, M. Aparna, P. Tijare, N. Nalini
    Citation: 2015 1st International Conference on Next Generation Computing Technologies
    Year: 2015

  • Title: 3-phase leader election algorithm for distributed systems
    Authors: P. Chaparala, A. R. Atmakuri, S. S. S. Rao
    Citation: 2019 3rd International Conference on Computing Methodologies and Communication
    Year: 2019

  • Title: Fine grained security in cloud with cryptographic access control
    Authors: A. Manikonda, N. Nalini
    Citation: 2021 International Conference on Advance Computing and Innovative Technologies in Engineering
    Year: 2021

  • Title: A new method for controlling and maintaining topology in wireless sensor networks
    Authors: A. Zabi, T. Yousuf, A. Manikonda
    Citation: International Journal of Computer Networks & Communications, Volume 6, Issue 4, Page 91
    Year: 2014

  • Title: A-ZHLS: adaptive ZHLS routing protocol for heterogeneous mobile adhoc networks
    Authors: M. V. Narayana, A. Atmakuri
    Citation: International Journal of Engineering & Technology, Volume 7, Issue 3, Pages 1626–1630
    Year: 2018

  • Title: Adaptive enhancement of underwater images
    Authors: J. Majumdar, A. Manikonda, G. M. Venkatesh
    Citation: Proceedings of the Fourth International Conference on Signal and Image Processing
    Year: 2013

  • Title: Energy Efficiency of Wireless Sensor Network by Topology Control Using MEMSIC
    Authors: M. Aparna, S. Behera, M. Reza, R. Jena, R. Atmakuri
    Citation: 2012 International Conference on Communication Systems and Network Technologies
    Year: 2012

  • Title: Throughput analysis by varying the network size in mobile ad hoc network
    Authors: M. Aparna, M. Reza
    Citation: 2011 International Conference on Computational Intelligence and Communication Networks
    Year: 2011

  • Title: A novel access control for cloud services using trust based design
    Authors: M. Aparna, N. Nalini
    Citation: International Conference on Inventive Computation Technologies, Pages 702–710
    Year: 2019

Tajunisha N | Computer Science | Best Faculty Award

Dr. Tajunisha N | Computer Science | Best Faculty Award

Dr. Tajunisha N, Sri Ramakrishna College of Arts & Science for Women, India

Dr. N. Tajunisha is a distinguished academician and researcher in Computer Science, currently serving as Professor and Head of the Department at Sri Ramakrishna College of Arts & Science for Women. With over 27 years of academic experience and 23 years of research expertise, she specializes in Data Mining, Machine Learning, Big Data Analytics, and Networks. She earned her Ph.D. from Mother Teresa Women’s University, Kodaikanal, and has been an influential figure in research and development. As a leader, she has held key positions such as Research Coordinator, IQAC Coordinator, and Institution Innovation Cell (IIC) President. Her contributions to academia include publishing research papers in prestigious journals, securing research funding, and mentoring Ph.D. scholars. Recognized with the Senior Educator and Scholar Award, she actively collaborates with institutions like IBM, Rently, and L&T EDUTECH. Her work continues to shape the future of Computer Science education and research.

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Suitability of Dr. N. Tajunisha for the Research for Best Faculty Award

Dr. N. Tajunisha is a distinguished academic leader with a strong record of excellence in teaching, research, and institutional development. With 27 years of academic experience and 23 years of research expertise, she has significantly contributed to the fields of Data Mining, Machine Learning, Big Data Analytics, and Networks. As a Professor and Head of the Department of Computer Science at Sri Ramakrishna College of Arts & Science for Women, she has played a crucial role in shaping the institution’s academic and research landscape.

Her research contributions are noteworthy, with 34 journal publications, 25 conference papers, and 9 SCOPUS-indexed papers, along with securing Rs. 3.17 lakhs from UGC for a Minor Research Project and Rs. 76 lakhs for a DST-FIST project. Dr. Tajunisha’s role as a Ph.D. guide, having successfully mentored three doctoral scholars and currently supervising five more, reflects her dedication to research mentorship. Her collaborations with IBM, Rently, L&T EDUTECH, Easy Design System, and VConnect highlight her industry engagement, while her participation in Doctoral Committees, Board of Studies (BOS), and Programme Advisory Committees showcases her leadership in academic governance.

🎓 Education

Dr. N. Tajunisha has an extensive educational background in Computer Science and Mathematics. She earned her Ph.D. in Computer Science from Mother Teresa Women’s University, Kodaikanal, in 2013, focusing on advanced research methodologies. Before that, she completed her M.Phil. in Computer Science from Bharathiar University, where she developed expertise in data analysis and computational techniques. Her academic journey began with a Master of Computer Applications (MCA) and a Bachelor’s degree in Mathematics from Madurai Kamaraj University, providing her with a strong mathematical foundation essential for algorithm development and computational problem-solving. Her diverse academic background has equipped her with critical analytical skills, enabling her to contribute significantly to the fields of Data Mining and Machine Learning. Her education and continuous professional development have played a crucial role in her ability to drive research innovations and mentor future scholars in Computer Science.

💼 Professional Experience

Dr. N. Tajunisha has over 27 years of academic experience and 23 years in research, significantly shaping Computer Science education. As the Professor & Head of the Department of Computer Science at Sri Ramakrishna College of Arts & Science for Women, she has spearheaded numerous academic and research initiatives. From 2013 to 2018, she served as the Research Coordinator, facilitating advanced research projects and securing substantial funding, including a Rs. 76 lakh DST-FIST grant. She has also played a pivotal role as the IQAC Coordinator (2018-2022), ensuring institutional excellence. Additionally, she has served as the Institution Innovation Cell (IIC) President, fostering entrepreneurship and innovation. Her industry collaborations with IBM, Rently, and L&T EDUTECH have enriched student learning experiences. She has contributed as a Board of Studies member in multiple colleges and played an active role in doctoral committees and inspection commissions under Bharathiar University.

🏅 Awards and Recognition

Dr. N. Tajunisha’s contributions to academia have been widely recognized through numerous awards and honors. She received the prestigious Senior Educator and Scholar Award from NFED in 2017 for her outstanding contributions to Computer Science education. She has also been honored with the Best Paper Award at the IEEE International Conference held at Satyabhama University in 2010. Her research excellence is reflected in her extensive publication record, including nine Scopus-indexed journal papers. Her leadership in institutional development led to Sri Ramakrishna College of Arts & Science for Women achieving an A+ grade in NAAC Cycle II under her tenure as IQAC Coordinator. Additionally, she has been an invited session chair at international conferences and serves as a reviewer for top-tier journals. Her commitment to fostering innovation and research has positioned her as a thought leader in Data Mining, Machine Learning, and Big Data Analytics.

🌍 Research Skills On Computer Science

Dr. N. Tajunisha’s research expertise spans Data Mining, Machine Learning, Big Data Analytics, and Networks. She has successfully guided three Ph.D. scholars and is currently mentoring five more, contributing to advancements in computational intelligence and predictive analytics. Her research has secured substantial funding, including a Rs. 3.17 lakh UGC Minor Research Project and Rs. 76 lakh for a DST-FIST project. With 34 journal papers, 25 conference papers, and two books to her credit, she has made significant contributions to her field. She actively collaborates with industry leaders like IBM, Rently, and L&T EDUTECH, ensuring practical applications of her research. Her ability to integrate academic knowledge with real-world solutions makes her a leading researcher in her domain. She has also been a reviewer for international journals and a committee member in doctoral research evaluations, further enhancing her impact in the field.

📖 Publication Top Notes

  • Performance analysis of k-means with different initialization methods for high-dimensional data
    Author(s): VSN Tajunisha
    Journal: International Journal of Artificial Intelligence and Applications
    Citations: 35
    Year: 2010

  • An efficient method to improve the clustering performance for high dimensional data by principal component analysis and modified K-means
    Author(s): N Tajunisha, V Saravanan
    Journal: International Journal of Database Management Systems
    Citations: 20
    Year: 2011

  • An increased performance of clustering high dimensional data using Principal Component Analysis
    Author(s): N Tajunisha, V Saravanan
    Conference: 2010 First International Conference on Integrated Intelligent Computing
    Citations: 19
    Year: 2010

  • A study on evolution of data analytics to big data analytics and its research scope
    Author(s): S Sruthika, N Tajunisha
    Conference: 2015 International Conference on Innovations in Information, Embedded and …
    Citations: 14
    Year: 2015

  • Predicting Student Performance Using MapReduce
    Author(s): N Tajunisha, M Anjali
    Journal: International Journal of Emerging and Computer Science
    Citations: 14
    Year: 2015

  • A new approach to improve the clustering accuracy using informative genes for unsupervised microarray data sets
    Author(s): N Tajunisha, V Saravanan
    Journal: International Journal of Advanced Science and Technology
    Citations: 10
    Year: 2011

  • Automatic classification of ovarian cancer types from CT images using deep semi-supervised generative learning and convolutional neural network
    Author(s): N Nagarajan, P.H. Tajunisha
    Journal: Revue d’Intelligence Artificielle
    Citations: 9
    Year: 2021

  • Classification of cancer datasets using artificial bee colony and deep feed-forward neural networks
    Author(s): M Karunyalakshmi, N Tajunisha
    Journal: International Journal of Advanced Research in Computer and Communication …
    Citations: 8
    Year: 2017

  • Concept and Term-Based Similarity Measure for Text Classification and Clustering
    Author(s): B Sindhiya, N Tajunisha
    Journal: IJERST
    Citations: 7
    Year: 2014

  • Optimal Parameter Selection-Based Deep Semi-Supervised Generative Learning and CNN for Ovarian Cancer Classification
    Author(s): PH Nagarajan, N Tajunisha
    Journal: ICTACT Journal on Soft Computing
    Citations: 5
    Year: 2023