Expertise / list of Subjects handled:

• Data Structures
• Design and Analysis of Algorithms
• Computer Organization
• Advanced Computer Architecture
• Information & Network Security
• Discrete Mathematical Structures & Graph theory
• Software Architecture
• Deep Learning Lab
• IoT lab
• C
• C++
• Java
• Python

Research Interest:

Nil

Papers Presented

• Bandi and S. Swamy, “Plant Disease Classification and Detection using CNN,” 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2022, pp. 1-7, doi: 10.1109/GCAT55367.2022.9972066
• Revanasiddappa Bandi, Suma Swamy, “Online Monitoring of a Plant inside Green House using Edge Computing and Internet of Things Technology”, 3rd International Conference on Intelligent Systems, Cognitive Science and Knowledge Engineering (ICKE2023), 8-9 May- 2023- International Conference Proceedings Organized by Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
• P. Enquero, M. K. Padhi, N. Yamsani, M. Anitha and R. Revanasiddappa, “Big Data Analytical Engine for Exploring the Power in Modern Business,” 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), Bengaluru, India, 2023, pp. 1-8, doi: 10.1109/EASCT59475.2023.10393067.
• Revanasiddappa Bandi, “Implementation of Multipath Congestion Control for Heterogeneous Priority based Traffic in Wireless Sensor Networks”, National Level Paper Presentation held at Sir. M Visvesvaraya Institute of Technology, Bengaluru, 2017.
• Revanasiddappa Bandi, “Crop Yield Prediction for Smart Agriculture using Multi-sensor Data”, National Conference on Emerging Trends in Engineering & Technology (NCETET-2019) held by Institute of Engineering & Technology, Dr. Rammanohar Lohia Avadh University, Ayodhya- U.P, India, 27-28th July-2019.
• Revanasiddappa Bandi, Tanvi Guru, Spoorthi M, Soujanya K, Varsha K M, “Analysis and Implementation of Astrophysical Data”, Virtual Conclave on Computer Vision Impelled Technology, held at Dayanand Sagar University, Bengaluru, during 11-12, Sep-2020.
• D, M. Al-Farouni, N. Shilpa, Revanasiddappa and P. L. Lekshmy, “Modified Glowworm Swarm Optimization Algorithm based on Task Scheduling for Cyber-Physical System,” 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2024, pp. 1-5, doi: 10.1109/ICICACS60521.2024.10498298.
• Pulicherla, S. Aluvala, M. Premchander, P. V. L. R. N. Sai Sudha and Revanasiddappa, “Genetic Signal Processing for Categorizing Genomic Data using Convolutional Neural Networks,” 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), Bengaluru, India, 2023, pp. 1-7, doi: 10.1109/EASCT59475.2023.10392916.
• Revanasiddappa Bandi,Piyush Kumar Pareek and Mohan Kumar T G, “IoT-Enabled Silkworm Egg Counting: A Visual Processing Approach”, in the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence and Machine Learning -ERCICAM 2024 held during 23-24 February ,2024, at NMIT, Bengaluru, India.

Journal Publications

• Revanasiddappa, B, Arvind, C. S. and Swamy, S., “Real-time early detection of weed plants in pulse crop field using drone with IoT”, International Journal of Agricultural Technology 2020 Vol. 16(5):1227-1242, ISSN 2630-0192 (Online)- Scopus indexed.
• Revanasiddappa Bandi, Suma Swamy, and Arvind C. S, “Leaf disease severity classification with explainable artificial intelligence using transformer networks”, International Journal of Advanced Technology and Engineering Exploration, Vol 10(100) ISSN (Online): 2394-7454 http://dx.doi.org/10.19101/IJATEE.2022.10100136. – Scopus indexed.
• Revanasiddappa Bandi, Suma Swamy, Raghav S, “A Framework to improve crop yield in Smart Agriculture using IoT”, International Journal of Research in Science & Engineering e- ISSN: 2394-8299 Volume: 3 Issue:1 January 2017.

Conference Proceedings

• Bandi and S. Swamy, “Plant Disease Classification and Detection using CNN,” 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2022, pp. 1-7, doi: 10.1109/GCAT55367.2022.9972066
• Revanasiddappa Bandi, Suma Swamy, “Online Monitoring of a Plant inside Green House using Edge Computing and Internet of Things Technology”, 3rd International Conference on Intelligent Systems, Cognitive Science and Knowledge Engineering (ICKE2023), 8-9 May- 2023- International Conference Proceedings Organized by Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
• P. Enquero, M. K. Padhi, N. Yamsani, M. Anitha and R. Revanasiddappa, “Big Data Analytical Engine for Exploring the Power in Modern Business,” 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), Bengaluru, India, 2023, pp. 1-8, doi: 10.1109/EASCT59475.2023.10393067.
• Revanasiddappa Bandi, “Implementation of Multipath Congestion Control for Heterogeneous Priority based Traffic in Wireless Sensor Networks”, National Level Paper Presentation held at Sir. M Visvesvaraya Institute of Technology, Bengaluru, 2017.
• Revanasiddappa Bandi, “Crop Yield Prediction for Smart Agriculture using Multi-sensor Data”, National Conference on Emerging Trends in Engineering & Technology (NCETET-2019) held by Institute of Engineering & Technology, Dr. Rammanohar Lohia Avadh University, Ayodhya- U.P, India, 27-28th July-2019.
• Revanasiddappa Bandi, Tanvi Guru, Spoorthi M, Soujanya K, Varsha K M, “Analysis and Implementation of Astrophysical Data”, Virtual Conclave on Computer Vision Impelled Technology, held at Dayanand Sagar University, Bengaluru, during 11-12, Sep-2020.
• D, M. Al-Farouni, N. Shilpa, Revanasiddappa and P. L. Lekshmy, “Modified Glowworm Swarm Optimization Algorithm based on Task Scheduling for Cyber-Physical System,” 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2024, pp. 1-5, doi: 10.1109/ICICACS60521.2024.10498298.
• Pulicherla, S. Aluvala, M. Premchander, P. V. L. R. N. Sai Sudha and Revanasiddappa, “Genetic Signal Processing for Categorizing Genomic Data using Convolutional Neural Networks,” 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), Bengaluru, India, 2023, pp. 1-7, doi: 10.1109/EASCT59475.2023.10392916.
• Revanasiddappa Bandi,Piyush Kumar Pareek and Mohan Kumar T G, “IoT-Enabled Silkworm Egg Counting: A Visual Processing Approach”, in the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence and Machine Learning -ERCICAM 2024 held during 23-24 February ,2024, at NMIT, Bengaluru, India.

Patents

• Applied for a patent titled “IoT-Based Smart Agriculture to Optimize Crop Yield” on 31-10-2023 and published in Indian Patent Advanced Search System (In PASS) on 15-12-2023.. Application Number: 202341074029

Participation in Training courses/Seminars/Workshops :

• Attended an FDP on “Integrating Quantum computing and AWS”, NMIT Bengaluru during 21-08-2023 to 25-08-2023.
• Attended an FDP on “Data to Discovery MATLAB skills for Faculty Researchers”, organized by the Department of Computer Science and Engineering, NMIT Bengaluru during 4th Dec – 8th Dec 2023.
• Participated in the workshop for three days on “Mobile Application Development” held at Sir M. Visvesvaraya Institute of Technology, during 15/07/2021 to 17/07/2021.
• Participated in the workshop for three days on “Internet of Things for Agricultural Technology”, held at P.R Pote Patil College of Engineering & Management, Amaravathi, in Association with IEEE (Mumbai Section) & Pantech e Learning held on 22-24th October-2020.
• Participated in Three days Faculty Development Program (FDP) on “A Real time Practical approach of Deep Learning with keras using colab”, held at Sir M. Visvesvaraya Institute of Technology, during 25th to 27th June 2021.
• Attended an FDP on “IOT and its application”, held at BMSCE, Bangalore, during 24/6/2019 to 5/7/2019.
• Attended an FDP on “Big data analytics and IOT”, held at SJBIT, Bangalore, during 7/1/2019 to 12/1/2019.