Dr. Sivanagireddy Kalli | Deep Learning for Computer Vision | Academic Excellence Distinction Award
Professor at Sridevi Women’s Engineering College, India
Dr. K. Sivanagireddy is a seasoned academician and researcher with over 20 years of experience in teaching, research, and administration. He has served in key academic leadership roles including Dean Academics, Head of Department, and Principal across reputed engineering institutions in Telangana and Andhra Pradesh. His extensive contributions include the publication of more than 60 research papers in SCI, Scopus, and UGC CARE-listed journals, along with participation in over 20 international conferences. He has been a driving force in innovation, holding eight patents—both national and international—and authoring nine technical books. He recently completed a Postdoctoral Fellowship at the University of South Florida (2024) and earned a Ph.D. in Electronics and Communication Engineering from JNTU Hyderabad (2019). His expertise spans areas like VLSI Design, IoT, AI, Embedded Systems, and Medical Image Processing. Recognized nationally and internationally, Dr. Sivanagireddy is also an active member of professional bodies such as IEEE, IAENG, and IAOE.
Professional Profile
Education🎓
Dr. K. Sivanagireddy has a strong academic foundation rooted in electronics, communication, and embedded systems. He earned his Ph.D. in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2019. Recently, in 2024, he completed his Postdoctoral Fellowship at the University of South Florida, USA, further enriching his research exposure and global academic outlook. His earlier postgraduate education includes an M.Tech in Embedded Systems from JNTUK, Kakinada (2014), and an M.E in VLSI Design from Vinayaka Missions University, Tamil Nadu (2006). He began his academic journey with a B.Tech in Electronics and Communication Engineering from Bharathidasan University, Tiruchirappalli, in 2002. His education reflects a clear emphasis on digital design, embedded computing, and system optimization, which laid the groundwork for his multifaceted contributions in academia and research. He has also pursued various NPTEL and FDP certifications from top IITs, demonstrating his commitment to lifelong learning and skill enhancement.
Professional Experience📝
Dr. K. Sivanagireddy brings over two decades of professional academic experience, with an emphasis on leadership, research, and teaching. Currently serving as Dean Academics and Professor at Sridevi Women’s Engineering College, Hyderabad since 2019, he previously held the positions of Head of Department and Associate Professor at the same institute. Earlier in his career, he worked at Arjun College of Technology and Science and LITAM, Guntur, where he mentored undergraduate and postgraduate students and handled administrative responsibilities. His contributions extend to coordinating academic accreditations like NAAC and NBA, overseeing student projects, counseling, and organizing technical paper contests. His strategic leadership has helped align institutional goals with academic excellence and research development. With a deep understanding of educational systems, faculty management, and curriculum design, Dr. Sivanagireddy has played a pivotal role in shaping the academic structure of the institutions he served. His professionalism and experience continue to influence engineering education in India.
Research Interest🔎
Dr. Sivanagireddy’s research interests are broad, multidisciplinary, and highly application-oriented. His primary focus lies in Medical Image Processing, Artificial Intelligence, Deep Learning, and IoT-enabled systems, especially for healthcare diagnostics and smart surveillance. He has conducted advanced research in brain tumor detection, cancer classification, heart disease prediction, and autonomous medical devices, often leveraging CNN, LSTM, and hybrid deep learning models. Additionally, his work spans VLSI Design, Embedded Systems, Cybersecurity, Video Surveillance, and Signal Processing, reflecting his versatility. His contributions also extend to developing IoT-integrated intelligent systems, machine learning-based prediction models, and hardware optimization techniques. Many of his projects are focused on societal needs, such as fall detection for the elderly, counterfeit currency detection, and remote health monitoring. His research is rooted in real-world impact, bridging engineering with life sciences and computing. This interdisciplinary approach allows him to explore innovative solutions across both theoretical and applied research domains.
Award and Honor🏆
Dr. K. Sivanagireddy’s scholarly achievements have been widely recognized through multiple national and international honors. He received the International Academic Excellence Award from I2OR in 2022, acknowledging his impactful global research footprint. In 2021, he was conferred with the National Faculty Excellency Award by the International Journal of MC Square Scientific Research, reflecting his outstanding contributions to teaching and innovation. He also earned the National Certificate of Excellence from the Telangana Engineering Colleges Faculty Association in 2020, further emphasizing his role in academic leadership. In addition to these awards, his editorial engagement with the Asian Council of Science Editors and professional memberships with IEEE, IAENG, and IAOE signify his active participation in international scholarly communities. His commitment to excellence, innovation, and quality research has made him a role model in engineering academia, and these accolades underscore his dedication to elevating academic standards at both institutional and national levels.
Research Skill🔬
Dr. Sivanagireddy possesses a diverse and robust set of research skills that span both theoretical modeling and practical application. He is adept in machine learning algorithms, deep learning frameworks, IoT development, and VLSI simulation tools. His proficiency in tools like MATLAB, Python, Verilog, and FPGA platforms has enabled him to develop and deploy intelligent systems for healthcare, security, and automation. He has expertise in image processing techniques, including segmentation, classification, and feature extraction using CNNs, Bi-LSTM, and hybrid models. Additionally, he demonstrates advanced knowledge in medical diagnostics, pattern recognition, and cloud computing integration. His research skillset is not only confined to software but extends to hardware optimization, including CMOS and ASIC design. Through his participation in over 20 conferences and completion of NPTEL certifications from IITs, he maintains up-to-date technical competence. These diverse skills allow him to drive interdisciplinary research, publish impactful papers, and mentor future innovators effectively.
Conclusion💡
Dr. K. Sivanagireddy is highly deserving and well-qualified for the Best Researcher Award. With a prolific publication record, leadership roles, multiple patents, academic books, and contributions to multiple domains in engineering and technology, he stands out as a multidisciplinary scholar and innovator. A stronger emphasis on research impact, international projects, and focused thematic expertise would further elevate his candidacy.
Publications Top Noted✍
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Title: An effective motion object detection using adaptive background modeling mechanism in video surveillance system
Authors: SNR Kalli
Year: 2021
Citations: 54
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Title: Early lung cancer prediction using correlation and regression
Authors: K Sivanagireddy, S Yerram, SSN Kowsalya, SS Sivasankari, J Surendiran, RG Vidhya
Year: 2022
Citations: 24
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Title: Image Compression and reconstruction using a new approach by artificial neural network
Authors: KSN Reddy, BR Vikram, LK Rao, BS Reddy
Year: 2012
Citations: 21
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Title: A Fast Curvelet Transform Image Compression Algorithm using with Modified SPIHT
Authors: KSN Reddy, BRS Reddy, G Rajasekhar, KC Rao
Year: 2012
Citations: 14
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Title: A nanoplasmonic branchline coupler for subwavelength wireless networks
Authors: K Thirupathaiah, KS Reddy, GRS Reddy
Year: 2021
Citations: 11
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Title: Generative Adversarial Networks based Approach for Intrusion Detection System
Authors: S Kalli, BN Kumar, S Jagadeesh
Year: 2022
Citations: 8
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Title: IMPLEMENTATION OF OBJECT TRACKING AND VELOCITY DETERMINATION
Authors: SNR Kalli
Year: 2012
Citations: 5
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Title: Image compression by discrete curvelet wrapping technique with simplified SPIHT
Authors: KSN Reddy, L Rao, P Ravikanth
Year: 2012
Citations: 4
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Title: Identification of criminal & non-criminal faces using deep learning and optimization of image processing
Authors: K Sivanagireddy, S Jagadeesh, A Narmada
Year: 2024
Citations: 3
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Title: Low memory low complexity image compression using DWT and HS-SPIHT encoder
Authors: K Sivanagireddy, M Saipravallika, PKC Tejaswini
Year: 2012
Citations: 3
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Title: Reconstruction Using a New Approach By Artificial Neural Network
Authors: SNRKI Compression
Year: 2012
Citations: 3
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Title: Early Lung Cancer Prediction using Correlation and Regression
Authors: K Sivanagireddy
Year: 2022
Citations: 2
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Title: Smart Door Lock to Avoid Robberies in ATM
Authors: VS Reddy, S Kalli, H Gebregziabher, BR Babu
Year: 2021
Citations: 2
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Title: Image Segmentation by Using Modified Spatially Constrained Gaussian Mixture Model
Authors: S Kalli, BM Bhaskara
Year: 2016
Citations: 2
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Title: Efficient Memory and Low Complexity Image Compression Using DWT with Modified SPIHT Encoder
Authors: KSN Reddy, VS Reddy, DBR Vikram
Year: 2012
Citations: 2
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Title: Brain Tumor Detection through Image Fusion Using Cross Guided Filter and Convolutional Neural Network
Authors: MV Srikanth, S Kethavath, S Yerram, SNR Kalli, JB Naik
Year: 2024
Citations: 1
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Title: Autoencoder-based Deep Learning Approach for Intrusion Detection System using Firefly Optimization Algorithms
Authors: N Kumar Bukka, S Jagadeesh, KS Reddy
Year: 2024
Citations: 1