Nagalakshmi R Velmurugan | Computer Science | Best Faculty Award

Dr. Nagalakshmi R Velmurugan | Computer Science | Best Faculty Award

๐Ÿ‘ค Dr. Nagalakshmi R Velmurugan, SRM institute of science and Technology, India

Dr. R. Nagalakshmi, a dedicated academician and researcher in Computer Science Engineering, has over 12 years of teaching and administrative experience. She currently serves as an Associate Professor at SRM Institute of Science and Technology, Ramapuram, Chennai. Dr. Nagalakshmi completed her Ph.D. in Computer Science Engineering from Kalinga University, focusing on grid and cluster computing. She holds an M.E. and B.E. in Computer Science Engineering from Anna University, Chennai, and a Diploma in Computer Science from Sri Balaji Polytechnic College. Her career is marked by a passion for research in AI, data science, and operating systems, complemented by proficiency in Python, Power BI, and SQL. A dynamic educator, she excels in fostering innovation and creativity through seminars, webinars, and technical events. With numerous publications and impactful projects, Dr. Nagalakshmi is committed to advancing knowledge and nurturing the next generation of technology leaders.

Professional Profile

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๐ŸŒŸ Suitability For Research for Best Faculty Award

Dr. R. Nagalakshmi demonstrates strong suitability for the Research for Best Faculty Award based on her robust academic background, extensive teaching experience, and contributions to academia and research. Her qualifications, including a Ph.D. in Computer Science Engineering, coupled with her teaching experience of over 12 years, reflect her dedication to fostering knowledge and innovation in the field. Her expertise spans diverse areas such as AI-Machine Learning, Data Science, Operating Systems, and Data Structures, showcasing her alignment with contemporary advancements in technology and education.

๐ŸŽ“ Educationย 

Dr. R. Nagalakshmi pursued her Ph.D. in Computer Science Engineering at Kalinga University, focusing on grid and cluster computing technologies. She earned her M.E. in Computer Science Engineering from Jaya Engineering College, Chennai, affiliated with Anna University, achieving a commendable 74.3%. Her B.E. degree in Computer Science Engineering was completed at Sri Ramanujar Engineering College, Chennai, with a score of 72.42%. Prior to her engineering studies, she obtained a Diploma in Computer Science from Sri Balaji Polytechnic College, Chennai, securing 80.42%. Dr. Nagalakshmiโ€™s strong foundation began with her exceptional performance in her 10th standard, scoring 87%. Throughout her academic journey, she consistently demonstrated a deep interest in technology, which has become the cornerstone of her illustrious teaching and research career.

๐Ÿ’ผย ย Professional Experience

Dr. R. Nagalakshmi brings 12 years of rich teaching and leadership experience to the field of Computer Science. She is currently an Associate Professor at SRM Institute of Science and Technology, Ramapuram, Chennai. Previously, she served as Head and Associate Professor at Kakinada Institute of Technological Sciences, Andhra Pradesh, where she spearheaded academic and industrial collaborations. Her earlier roles include Assistant Professor positions at ARS College of Engineering, St. Josephโ€™s Institute of Technology, and Dhanalakshmi College of Engineering in Chennai, where she mentored countless students. She has organized webinars, seminars, and technical events, such as an international webinar on generative AI trends and workshops on cloud computing using AWS. Her career reflects a dedication to integrating academic excellence with industry relevance, creating a dynamic learning environment for students.

๐Ÿ…ย Awards and Recognitionsย 

Dr. R. Nagalakshmiโ€™s contributions to academia and research have been widely recognized. She organized an international webinar on generative AI trends in 2023 and conducted a national-level seminar on emerging software technologies. Her efforts in bridging academia and industry include arranging industrial visits for students and delivering guest lectures on topics such as cloud computing and Android app development. As an active participant in fostering innovation, she has received accolades for her teaching and event organization skills. Dr. Nagalakshmiโ€™s initiatives, including technical events like Brainblitz, have significantly enriched the academic experience at institutions like SRM Institute of Science and Technology. Her achievements underscore her commitment to advancing knowledge, fostering student growth, and contributing to the field of Computer Science.

๐ŸŒ Research Skills On Computer Science

Dr. R. Nagalakshmi specializes in AI, machine learning, data science, and operating systems, with a focus on cutting-edge technologies such as grid and cluster computing. Her Ph.D. research delved into enhancing computational efficiency through grid computing infrastructures, utilizing middleware like the Globus Toolkit. Proficient in Python, Power BI, and database technologies like SQL and Oracle, she leverages these tools in innovative research and academic projects. Dr. Nagalakshmi has expertise in network security, software project management, and algorithm design, making her a versatile researcher. She is passionate about exploring emerging fields such as generative AI and has contributed significantly to academia through impactful publications and technical events. Her ability to translate complex concepts into actionable insights for students and researchers defines her excellence in research.

๐Ÿ“– Publication Top Notes

  • Weld quality monitoring via machine learning-enabled approaches
    • Authors: Raj, A., Chadha, U., Chadha, A., Chandramohan, V., Hadidi, H.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2023
    • Citations: 14
  • Green manufacturing via machine learning enabled approaches
    • Authors: Raj, A., Gyaneshwar, A., Chadha, U., Chandramohan, V., Hadidi, H.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 6
  • Feasibility of friction stir welding for in-space joining processes: a simulation-based experimentation
    • Authors: Khanna, M., Chadha, U., Banerjee, A., Jayakumar, K., Karthikeyan, B.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 2
  • Industrial internet of things in intelligent manufacturing: a review, approaches, opportunities, open challenges, and future directions
    • Authors: Gupta, P., Krishna, C., Rajesh, R., Nagalakshmi, R., Chandramohan, V.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 35
  • Quality control tools and digitalization of real-time data in sustainable manufacturing
    • Authors: Menon, A.P., Lahoti, V., Gunreddy, N., Jayakumar, K., Karthikeyan, B.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 11
  • Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention
    • Authors: Priya, K., Karthika, P., Kaliappan, J., Nagalakshmi, R., Molla, B.
    • Journal: Applied Computational Intelligence and Soft Computing
    • Year: 2022
    • Citations: 3
  • Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment
    • Authors: Nagaraju, D., Chiranjeevi, C., Rajasekhar, Y., Nagalakshmi, R., Paramasivam, V.
    • Journal: Advances in Fuzzy Systems
    • Year: 2022
    • Citations: 6
  • A Survey of Machine Learning in Friction Stir Welding, including Unresolved Issues and Future Research Directions
    • Authors: Chadha, U., Selvaraj, S.K., Gunreddy, N., Kumar, R.L., Adefris, A.
    • Journal: Material Design and Processing Communications
    • Year: 2022
    • Citations: 29

Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

Dr. Srinivasa Naveen Kumar G is an Associate Professor and Dean of Data Science at Malla Reddy University, Hyderabad. He has over 16 years of teaching experience and a Ph.D. from Lincoln University College, Malaysia, specializing in Image and Video Processing. An accomplished academic leader, Dr. Kumar has organized numerous workshops, hackathons, and international conferences, contributing significantly to the fields of Data Science, Machine Learning, and Computer Vision. As an active member of professional bodies like IEEE and CSI, he is committed to academic excellence and innovation. His passion for research is evident in his numerous Scopus-indexed publications and workshops designed to bridge the gap between theoretical and practical knowledge.

Professional Profile

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Summary of Suitability for the Award

Dr. Srinivasa Naveen Kumar G is a distinguished academic professional with a robust background in teaching and research, making him a strong candidate for the “Research for Best Researcher Award.” With over 16 years of teaching experience and a noteworthy academic journey, culminating in a Ph.D. from Lincoln University College, Malaysia, his expertise in Image and Video Processing, Data Science, Machine Learning, and Computer Vision stands out. Serving as an Associate Professor and Dean of the Data Science Department at Malla Reddy University, Hyderabad, Dr. Kumar has demonstrated a strong commitment to education and research.

๐ŸŽ“ย Education

Dr. Kumar completed his Ph.D. in 2020 from Lincoln University College, Malaysia, where he focused on Image and Video Processing. He earned his M.Tech in Digital Electronics and Communication Systems from JNTU, Hyderabad, in 2008, and his B.Tech in Electronics & Communication Engineering from JNTUK, Kakinada, in 2006. His academic journey is marked by a dedication to understanding complex systems, with a strong emphasis on digital communication and electronics. Throughout his studies, he demonstrated exceptional skills in applying theoretical knowledge to real-world challenges, laying a strong foundation for his research and teaching career. His academic background has equipped him with expertise in Data Science, Machine Learning, and related fields.

๐Ÿ’ผย  ย Professional Experience

With over 16 years of teaching experience, Dr. Kumar currently serves as Associate Professor and Dean of Data Science at Malla Reddy University, Hyderabad, a role he has held since July 2021. Before that, he worked as an Associate Professor at Malla Reddy College of Engineering & Technology, Secunderabad, from 2008 to 2021. His extensive experience includes teaching both undergraduate and postgraduate courses, such as Python Programming, Image & Video Processing, and Data Analytics. He has a keen interest in research areas like Image and Video Processing, Machine Learning, and Computer Vision. Dr. Kumar is a leader in organizing academic events, workshops, and conferences, fostering a culture of continuous learning and innovation among students and faculty.

๐Ÿ…ย ย Awards and Recognition

Dr. Kumar has been recognized for his academic leadership and contributions to Data Science and Engineering. His accolades include organizing high-profile international conferences like the Scopus-indexed Springer ICISSC series and leading national-level student technical fests such as “Technosplurge.” He is a sought-after organizer, having successfully coordinated events like Salesforce Development workshops and 24-hour hackathons. His work in bridging academic research with industry practices has gained widespread acclaim. Dr. Kumar is also an esteemed member of IEEE and CSI, reflecting his commitment to professional excellence and continuous learning. His contributions have elevated his institution’s profile in the global academic community.

๐ŸŒย  ย Research Skills

Dr. Kumar is proficient in Data Science, Machine Learning, Computer Vision, and Image & Video Processing. He has developed expertise in Python, Java, and various data analytics tools, applying his skills to solve complex problems in digital communication and systems design. His research focuses on innovative solutions for real-time data analysis and intelligent system development. As an organizer of Scopus-indexed conferences, he stays updated with cutting-edge research trends, ensuring his work is relevant and impactful. His skills extend to coding theory, digital system design, and programming, making him a versatile researcher and educator dedicated to advancing the field of Data Science.

๐Ÿ“– Publication Top Notes

  • Title: Video shot boundary detection and key frame extraction for video retrieval
    Cited by: 18
  • Title: Detection of Shot Boundaries and Extraction of Key Frames for Video Retrieval
    Cited by: 17*
  • Title: Key frame extraction using rough set theory for video retrieval
    Cited by: 16
  • Title: High-performance video retrieval based on spatio-temporal features
    Cited by: 15
  • Title: Yoga pose recognition with real-time correction using deep learning
    Cited by: 10