Suresh Yeresime
Ballari Institute of Technology & Management, Ballari, Ballari Institute of Technology and Management, National Institute of Technology Rourkela, Sri Jayachamarajendra College of Engineering
About
Dr. Suresh is currently working as a Professor & HOD in Dept. of Artificial Intelligence at Ballari Institute of Technology & Management (BITM), Ballari. He obtained his Ph.D., from National Institute of Technology Rourkela in 2015. He obtained his Master’s degree from Sri Jayachamarajendra College of Engineering (SJCE) Mysore & BE from Rao Bahadhur Y Mahabaleshwarappa Engineering College (RYMEC) Ballari in the year 2010 & 2008 respectively. He has a teaching experience of 11 years, research experience of 4 years & one year industry experience. He has 50 publications in reputed International Journals & International Conferences till date. He is also the member of IEEE, ISTE and IAENG. He has also been reviewer for various International Conferences & referred IEEE and Inderscience Journals. Three Scholar's have been awarded PhD Degree & Six research scholars are currently pursuing PhD under his guidance from VTU Belagavi. His research interests are in the area of Artificial Intelligence & Machine Learning and Software Engineering.
Employment
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Ballari Institute of Technology & Management, Ballari Professor & HOD2024 - Present
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Ballari Institute of Technology & Management, Ballari Professor2023 - 2024
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Ballari Institute of Technology and Management Associate Professor2017 - 2023
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BMS Institute of Technology Assistant Professor2015 - 2017
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Network Appliance Pvt Ltd Automation - Intern2009 - 2010
Education
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National Institute of Technology Rourkela Doctor of Philosophy2011 - 2014
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Sri Jayachamarajendra College of Engineering Masters of Technology2008 - 2010
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Rao Bhadhur Y Mahabaleswarappa Engineering College Bachelor of Engineering2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (44)
- A Transformer-Based Optical Character Recognition Framework with Unified Residual Recurrent Networks for Multilingual Handwritten Documents Save
- The Data Driven Recruitment: Revolutionizing Talent Acquisition Save
- KANNADA HANDWRITTEN WORD DATASET FOR OCR VIA SYLLABLE COMPOSITION AND CORPUS AUGMENTATION Save
- A Multilingual Handwritten OCR System using CNN-BiLSTM-CTC Save
- Best Practices for Constructing Knowledge Graphs in Retrieval-Augmented Generation (RAG) Systems Save
- Implementation of a Word Prediction Model Using LSTM Neural Network with Optimization Strategies Save
- Malicious URL Detection Using Artificial Intelligence Techniques Save
- Smart Travel Assistance using Machine Learning and Generative Artificial Intelligence Save
- Mathematics for 2D face recognition from real time image data set using deep learning techniques Save
- Driver Drowsiness Detection using Machine Learning Save