Assistant Professor
School of Computer Science And Artificial Intelligence
Sri Satya Sai University of Technology& Medical Sciences
14 years
Data Mining, Software Engineering, Cloud computing, Cryptography and Network Security, Operating systems, Compiler Design
Big Data Analytics
Ph.D (Computer Science& Engineering) from Sri Satya Sai University of Technology& Medical Sciences, Bhopal
M.Tech (Software Engineering) from Jawaharlal Nehru Technological University Hyderabad
B.Tech (Computer Science& Engineering) from Jawaharlal Nehru Technological University Hyderabad
Assistant Professor at SR University, from 2022-07-01 to Till Date.
Assistant Professor at ANURAG COLLEGE OF ENGINEERING ,HYDERABAD, from 2016-06-01 to 2022-06-30.
Assistant Professor at SRI INDU COLLEGE OF ENGINEERING AND TECHNOLOGY HYDERABAD, from 2012-02-13 to 2016-05-31.
Assistant Professor at MURTHY INSTITUTE OF TECHNOLOGY AND SCIENCE HYDERABAD, from 2009-08-03 to 2012-02-10.
Assistant Professor at VATHSALYA INSTITUTE SCIENCE AND TECHNOLOGY BHONGIR, from 2007-10-22 to 2009-05-30.
PG
UG
M. Guru Vimal Kumar, S. Karunakaran, Shanker Chandre, Rakesh Kumar Godi, P. Manirajkumar,Allam Balaram "Implementation of Microgrid Digital Twin System for Unmanned Vehicles with Cloud Computing Techniques"Received: 21 January 2023 / Accepted: 1 June 2023© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2023
Ketan Rathor,Shanker Chandre,Alagu Thillaivanan,M Naga Raju,Vinit Sikka,Kamlesh Singh " Archimedes Optimization with Enhanced Deep Learning based Recommendation System for Drug Supply Chain Management" Year: 2023 | Conference Paper | Publisher: IEEE
Manish K Assudani,Nirmala B,N. Kanimozhi,Shanker Chandre,K. K. Sunalini,Anandbabu Gopatoti" Improved Metaheuristics with Deep Autoencoders for COVID-19 Detection and Classification" 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
S. Vijayarangam,S. Vasundhara,Nihar Ranjan Beherac,Shyamali Das,Shanker Chandre,R. Rajagopal "Machine learning with Monarch Butterfly Optimization for Prediction of Emergency Patient Admission Status" 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Year: 2023 | Conference Paper | Publisher: IEEE
Uppara Raghu Babu,Tarun Gehlot,S. Thenmozhi,Shanker Chandre,A Ravitheja,Arepalli Gopi "Real Time Building Crack Visual Measurement System using Metaheuristics with Deep Learning Model" 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI),Year: 2023 | Conference Paper | Publisher: IEEE
Shanker chandre,Anil kumar "Verbal decision analysis based hybrid model technique in large data analysis used in project management"Advances in Mathematics: Scientific Journal, 2020, 9(7), pp. 4543–4551
S Vijayarangam, S Vasundhara, NR Beherac, S Das, Shanker Chandre "Machine learning with Monarch Butterfly Optimization for Prediction of Emergency Patient Admission Status"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
M. Guru Vimal Kumar1,S. Karunakaran2,Shanker Chandre3,Rakesh Kumar Godi4,P,Manirajkumar5,Allam Balaram6 "Implementation of Microgrid Digital Twin System for Unmanned Vehicles with Cloud Computing Techniques" SN Computer Science (2023) 4:566 https://doi.org/10.1007/s42979-023-01986-9
By creating a machine learnings model which distinguishes high-risk malignant lesions (HRLs) detected using image-guided needles biopsy which it requiring surgical resection from HRLs that are unlikely towards progress to cancers after operations and so may be monitored. From June 2006 to April 2015, participants with biopsy- proven HRLs who underwent surgery / had at least 2 years of ct follow-up were discovered. To detect HRLs with minimal risks of cancer progression, a randomized forests machine learning technique wa
