Satishkumar Mallappa | Computer Science | Best Researcher Award Published on 04/09/202504/09/2025 by Best Paper Awards Dr. Satishkumar Mallappa | Computer Science | Best Researcher Award Assistant Professor at Sri Sathya Sai University for Human Excellence | India Dr. Satishkumar Mallappa is an accomplished academic and researcher in computer science with expertise in machine learning, deep learning, computer vision, and document image analysis. He holds a Ph.D. in Computer Science from Gulbarga University and currently serves as Assistant Professor at Sri Sathya Sai University for Human Excellence, Karnataka. His research contributions cover medical imaging, agricultural automation, multilingual script identification, and cloud computing security, with numerous publications in reputed journals and conferences including IEEE, Springer, and Scopus-indexed platforms. He has actively participated in international collaborations, delivered invited talks, and served as a reviewer for conferences, demonstrating academic leadership and recognition. Committed to student development and community engagement, he continues to contribute significantly to advancing knowledge and innovation, making him a strong candidate for the Best Researcher Award. Professional Profile Google Scholar Education Dr. Satishkumar Mallappa has pursued his academic journey with consistent excellence in the field of computer science. He earned his Ph.D. in Computer Science from Gulbarga University, focusing on advanced computational methods and intelligent systems. Prior to this, he completed his M.Phil. and M.Sc. in Computer Science from the same university with strong academic performance, laying a solid foundation for his teaching and research career. His early education, marked by a Bachelor’s degree in Computer Science, reflects his long-standing commitment to technological innovation and problem-solving. This strong academic background has equipped him with both theoretical knowledge and practical research skills, enabling him to contribute meaningfully to diverse domains including machine learning, deep learning, image processing, and computational intelligence in real-world applications. Experience Dr. Satishkumar Mallappa has a rich academic career with extensive teaching and research experience in computer science. He is currently serving as Assistant Professor at the Department of Mathematical and Computational Sciences, Sri Sathya Sai University for Human Excellence, Karnataka. Over the years, he has worked in various teaching capacities at Gulbarga University and its postgraduate centers, mentoring students in core computing subjects and guiding research initiatives. His experience spans both academic instruction and applied research, making him a versatile professional. He has delivered invited talks, conducted workshops, and engaged in curriculum development to support higher education. Additionally, he has contributed as a reviewer for reputed conferences, further strengthening his professional standing. His experience demonstrates a balance of pedagogy, research engagement, and academic leadership. Research Interest Dr. Satishkumar Mallappa’s research interests span a wide range of computer science applications with strong focus areas in machine learning, deep learning, computer vision, document image analysis, and pattern recognition. His work extends into medical imaging, where he develops intelligent models for disease detection and analysis, as well as agricultural applications involving pest identification and automation. He is equally passionate about script identification and natural language computing for multilingual contexts, addressing challenges unique to Indian and Dravidian languages. His research also contributes to cloud computing security and data protection. Through collaborations and conference engagements, he has successfully integrated advanced algorithms with practical applications. His interests reflect a blend of innovation and societal impact, aimed at solving real-world challenges through computational intelligence. Awards and Honors Dr. Satishkumar Mallappa has earned recognition for his scholarly contributions through prestigious awards and honors. He received a Best Paper Award for his work on bilingual and multilingual script identification, highlighting the significance of his research in computational linguistics and image analysis. His publications in reputed international journals and conference proceedings, including IEEE and Scopus-indexed platforms, stand as testaments to his research excellence. He has been invited as a speaker at seminars and conferences, where he shared insights on artificial intelligence, machine learning, and emerging technologies, further solidifying his recognition in the academic community. Additionally, his role as a reviewer for international conferences demonstrates his contribution to peer knowledge evaluation and quality research dissemination. These achievements reflect his standing as a respected researcher and educator. Research Skills Dr. Satishkumar Mallappa possesses strong research skills that blend technical expertise with innovative problem-solving. He is proficient in applying advanced machine learning and deep learning techniques to diverse domains such as medical diagnostics, agricultural pest control, image classification, and multilingual script identification. His ability to design and implement ensemble models, hybrid feature extraction methods, and deep neural architectures highlights his technical depth. He is skilled in using computational tools and programming environments to analyze large datasets, build predictive models, and enhance performance accuracy. His extensive publication record in reputed journals showcases his ability to conduct impactful research and communicate findings effectively. Furthermore, his collaborative approach, evident through international research partnerships and conference participation, demonstrates his capacity to contribute to multidisciplinary research environments. Publication Top Notes Title: A study on Image Segmentation and its MethodsAuthors: S Kumar, R SrinivasYear: 2013Citations: 14 Title: Script Identification from Camera Based Tri-Lingual DocumentAuthors: G Mukarambi, S Mallappa, BV DhandraYear: 2017Citations: 9 Title: Scrambling and Descrambling of Document Image for Data Security in Cloud ComputingAuthors: N Salimath, S Mallappa, N Padhy, J SheetlaniYear: 2019Citations: 6 Title: Skin Cancer Classification using VGG-16 and Googlenet CNN ModelsAuthors: SB Ummapure, R Tilekar, S MallappaYear: 2023Citations: 4 Title: Script Identification of Camera Based Bilingual Document Images Using SFTA FeaturesAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2019Citations: 4 Title: Hybridization of Texture Features for Identification of Bi-lingual Scripts from Camera Images at Word LevelAuthors: S Mallappa, BV Dhandra, G MukarambiYear: 2023Citations: 3 Title: Heart Sound Analysis with Machine Learning Using Audio Features for Detecting Heart DiseasesAuthors: S Swaminathan, SM Krishnamurthy, C Gudada, SK Mallappa, N AilYear: 2024Citations: 2 Title: Camera-based Tri-lingual Script Identification at Word Level using a Combination of SFTA and LBP FeaturesAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2020Citations: 2 Title: Use of Audio Transfer Learning to Analyse Heart Sounds for Detecting Heart DiseasesAuthors: S Swaminathan, S Murthy, C Gudada, SK MallappaYear: 2024Citations: 1 Title: Script Identification from Camera Captured Indian Document Images with CNN ModelAuthors: S Mallappa, BV Dhandra, G MukarambiYear: 2023Citations: 1 Title: Camera-Based Bi-lingual Script Identification at Word Level using SFTA FeaturesAuthors: G Mukarambi, BV Dhandra, S MallappaYear: 2019Citations: 1 Title: Enhancing Script Identification in Dravidian Languages using Ensemble of Deep and Texture FeaturesAuthors: S Mallappa, C Gudada, PM SanthoshiYear: 2025 Title: Machine Learning Approach Using HOG and LBP Features of Spectrograms-Based Heart Sounds Analysis for the DetectionAuthors: SSS Murthy, S MallappaYear: 2025 Title: A Deep Learning Model based White Blood Cell Image ClassificationAuthors: S Ummapre, S MallappaYear: 2025 Title: Feature-Driven Acute Lymphoblastic Leukemia Detection From Blood Smears Using Machine Learning Ensemble ClassifiersAuthors: C Gudada, S MallappaYear: 2025 Title: Multi-fruit Classification Using a New FruitNet-11 Based on Deep Convolutional Neural NetworkAuthors: Raghavendra, S MallappaYear: 2022 Title: Script Identification at Line-level using SFTA and LBP Features from Bi-lingual and Tri-lingual Documents Captured from the CameraAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2020 Title: Hybrid Method for Elimination of Uneven Illumination from Camera-based Document ImagesAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2020 Title: Camera-based Document Image Scrambling for Security in Cloud Computing EnvironmentAuthors: N Salimath, S Mallappa, J SheetlaniYear: 2019 Title: Script Identification System for Camera Based Multilingual Document ImagesAuthor: S Mallappa Conclusion Dr. Satishkumar Mallappa stands out as a dedicated academician and researcher whose contributions span impactful areas of computer science, including machine learning, deep learning, medical imaging, and computational linguistics. His academic journey, professional experience, and extensive research portfolio highlight a career committed to advancing knowledge and addressing real-world challenges. Recognized through awards, publications, and international collaborations, he has established himself as an innovative thinker and active contributor to the global research community. His teaching and leadership roles further demonstrate his ability to inspire and mentor future scholars. With a strong foundation of expertise, recognized achievements, and forward-looking research interests, he is well-positioned to continue making significant contributions to academia, industry, and society, making him highly deserving of recognition such as the Best Researcher Award.
Dr. Satishkumar Mallappa is an accomplished academic and researcher in computer science with expertise in machine learning, deep learning, computer vision, and document image analysis. He holds a Ph.D. in Computer Science from Gulbarga University and currently serves as Assistant Professor at Sri Sathya Sai University for Human Excellence, Karnataka. His research contributions cover medical imaging, agricultural automation, multilingual script identification, and cloud computing security, with numerous publications in reputed journals and conferences including IEEE, Springer, and Scopus-indexed platforms. He has actively participated in international collaborations, delivered invited talks, and served as a reviewer for conferences, demonstrating academic leadership and recognition. Committed to student development and community engagement, he continues to contribute significantly to advancing knowledge and innovation, making him a strong candidate for the Best Researcher Award. Professional Profile Google Scholar Education Dr. Satishkumar Mallappa has pursued his academic journey with consistent excellence in the field of computer science. He earned his Ph.D. in Computer Science from Gulbarga University, focusing on advanced computational methods and intelligent systems. Prior to this, he completed his M.Phil. and M.Sc. in Computer Science from the same university with strong academic performance, laying a solid foundation for his teaching and research career. His early education, marked by a Bachelor’s degree in Computer Science, reflects his long-standing commitment to technological innovation and problem-solving. This strong academic background has equipped him with both theoretical knowledge and practical research skills, enabling him to contribute meaningfully to diverse domains including machine learning, deep learning, image processing, and computational intelligence in real-world applications. Experience Dr. Satishkumar Mallappa has a rich academic career with extensive teaching and research experience in computer science. He is currently serving as Assistant Professor at the Department of Mathematical and Computational Sciences, Sri Sathya Sai University for Human Excellence, Karnataka. Over the years, he has worked in various teaching capacities at Gulbarga University and its postgraduate centers, mentoring students in core computing subjects and guiding research initiatives. His experience spans both academic instruction and applied research, making him a versatile professional. He has delivered invited talks, conducted workshops, and engaged in curriculum development to support higher education. Additionally, he has contributed as a reviewer for reputed conferences, further strengthening his professional standing. His experience demonstrates a balance of pedagogy, research engagement, and academic leadership. Research Interest Dr. Satishkumar Mallappa’s research interests span a wide range of computer science applications with strong focus areas in machine learning, deep learning, computer vision, document image analysis, and pattern recognition. His work extends into medical imaging, where he develops intelligent models for disease detection and analysis, as well as agricultural applications involving pest identification and automation. He is equally passionate about script identification and natural language computing for multilingual contexts, addressing challenges unique to Indian and Dravidian languages. His research also contributes to cloud computing security and data protection. Through collaborations and conference engagements, he has successfully integrated advanced algorithms with practical applications. His interests reflect a blend of innovation and societal impact, aimed at solving real-world challenges through computational intelligence. Awards and Honors Dr. Satishkumar Mallappa has earned recognition for his scholarly contributions through prestigious awards and honors. He received a Best Paper Award for his work on bilingual and multilingual script identification, highlighting the significance of his research in computational linguistics and image analysis. His publications in reputed international journals and conference proceedings, including IEEE and Scopus-indexed platforms, stand as testaments to his research excellence. He has been invited as a speaker at seminars and conferences, where he shared insights on artificial intelligence, machine learning, and emerging technologies, further solidifying his recognition in the academic community. Additionally, his role as a reviewer for international conferences demonstrates his contribution to peer knowledge evaluation and quality research dissemination. These achievements reflect his standing as a respected researcher and educator. Research Skills Dr. Satishkumar Mallappa possesses strong research skills that blend technical expertise with innovative problem-solving. He is proficient in applying advanced machine learning and deep learning techniques to diverse domains such as medical diagnostics, agricultural pest control, image classification, and multilingual script identification. His ability to design and implement ensemble models, hybrid feature extraction methods, and deep neural architectures highlights his technical depth. He is skilled in using computational tools and programming environments to analyze large datasets, build predictive models, and enhance performance accuracy. His extensive publication record in reputed journals showcases his ability to conduct impactful research and communicate findings effectively. Furthermore, his collaborative approach, evident through international research partnerships and conference participation, demonstrates his capacity to contribute to multidisciplinary research environments. Publication Top Notes Title: A study on Image Segmentation and its MethodsAuthors: S Kumar, R SrinivasYear: 2013Citations: 14 Title: Script Identification from Camera Based Tri-Lingual DocumentAuthors: G Mukarambi, S Mallappa, BV DhandraYear: 2017Citations: 9 Title: Scrambling and Descrambling of Document Image for Data Security in Cloud ComputingAuthors: N Salimath, S Mallappa, N Padhy, J SheetlaniYear: 2019Citations: 6 Title: Skin Cancer Classification using VGG-16 and Googlenet CNN ModelsAuthors: SB Ummapure, R Tilekar, S MallappaYear: 2023Citations: 4 Title: Script Identification of Camera Based Bilingual Document Images Using SFTA FeaturesAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2019Citations: 4 Title: Hybridization of Texture Features for Identification of Bi-lingual Scripts from Camera Images at Word LevelAuthors: S Mallappa, BV Dhandra, G MukarambiYear: 2023Citations: 3 Title: Heart Sound Analysis with Machine Learning Using Audio Features for Detecting Heart DiseasesAuthors: S Swaminathan, SM Krishnamurthy, C Gudada, SK Mallappa, N AilYear: 2024Citations: 2 Title: Camera-based Tri-lingual Script Identification at Word Level using a Combination of SFTA and LBP FeaturesAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2020Citations: 2 Title: Use of Audio Transfer Learning to Analyse Heart Sounds for Detecting Heart DiseasesAuthors: S Swaminathan, S Murthy, C Gudada, SK MallappaYear: 2024Citations: 1 Title: Script Identification from Camera Captured Indian Document Images with CNN ModelAuthors: S Mallappa, BV Dhandra, G MukarambiYear: 2023Citations: 1 Title: Camera-Based Bi-lingual Script Identification at Word Level using SFTA FeaturesAuthors: G Mukarambi, BV Dhandra, S MallappaYear: 2019Citations: 1 Title: Enhancing Script Identification in Dravidian Languages using Ensemble of Deep and Texture FeaturesAuthors: S Mallappa, C Gudada, PM SanthoshiYear: 2025 Title: Machine Learning Approach Using HOG and LBP Features of Spectrograms-Based Heart Sounds Analysis for the DetectionAuthors: SSS Murthy, S MallappaYear: 2025 Title: A Deep Learning Model based White Blood Cell Image ClassificationAuthors: S Ummapre, S MallappaYear: 2025 Title: Feature-Driven Acute Lymphoblastic Leukemia Detection From Blood Smears Using Machine Learning Ensemble ClassifiersAuthors: C Gudada, S MallappaYear: 2025 Title: Multi-fruit Classification Using a New FruitNet-11 Based on Deep Convolutional Neural NetworkAuthors: Raghavendra, S MallappaYear: 2022 Title: Script Identification at Line-level using SFTA and LBP Features from Bi-lingual and Tri-lingual Documents Captured from the CameraAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2020 Title: Hybrid Method for Elimination of Uneven Illumination from Camera-based Document ImagesAuthors: BV Dhandra, S Mallappa, G MukarambiYear: 2020 Title: Camera-based Document Image Scrambling for Security in Cloud Computing EnvironmentAuthors: N Salimath, S Mallappa, J SheetlaniYear: 2019 Title: Script Identification System for Camera Based Multilingual Document ImagesAuthor: S Mallappa Conclusion Dr. Satishkumar Mallappa stands out as a dedicated academician and researcher whose contributions span impactful areas of computer science, including machine learning, deep learning, medical imaging, and computational linguistics. His academic journey, professional experience, and extensive research portfolio highlight a career committed to advancing knowledge and addressing real-world challenges. Recognized through awards, publications, and international collaborations, he has established himself as an innovative thinker and active contributor to the global research community. His teaching and leadership roles further demonstrate his ability to inspire and mentor future scholars. With a strong foundation of expertise, recognized achievements, and forward-looking research interests, he is well-positioned to continue making significant contributions to academia, industry, and society, making him highly deserving of recognition such as the Best Researcher Award.