• Cloud Computing, Machine Learning, Network reliability

• Administrative Experience: 12+ Years
• Academic Experience: 13+ Years

• For B. Tech: Introduction to Computer Science -I Programing and Data Structures, Data Base Management Systems, Formal Language and Automata Theory, Data Structures , Design of Algorithms, Computer Networks, Compiler Design, Algorithms
• For M. Tech: Algorithms, Data Base Design, Compiler Design, Machine Learning, MATLAB Programming, Survey Paper-I, Survey Paper-II

• 1) Participated in 4 week Faculty Development program on AI and Deep learning.( July 2020)
• 2) Participated in the 12 days Information Security Analyst Training Program. ( June 2020)
• 3) Trained, 1 month Industrial Taring Program, organized by Redpinesignals on AI and IoT at Hyderabad ( February 2020)
• 4) Attended, 2 Weeks Faculty Development Programme on Internet of Things and block chain technology ( June 2019)
• 5) Attended, 3 weeks Refresher Course at SVU, Tirupati( September 2018)
• 6) Attended, 4 weeks Orientation Program , SVU, Tirupati ( December 2017)
• 7) Attended, Technology Enabled Learning Implementation workshop ( June,2017)

• Cloud Computing, Network reliability, Software Reliability, AI and ML, Theoretical Computer Science

• ACM, Membership

Journals

1. T Chandrasheker, P Ravikumar , "Building Blocks for Discovering Common Patterns and Class Association Rules in Incremental Data", TELEMATIQUE,Vol 21, No 1 (2022)
2. T Chandrasekhar, "Research on Cloud Computing", International Journal of Computational Engineering Research (IJCER), 2011
3. 4. B Sriramulu, T Chandrasheker, T Suresh "A Secure Network Communication Based on Kerberos & MD5"; International Journal of Engineering, 2012
4. 3. M Kavitha, T Chandrasekhar, DM Reddy "Designing of dynamic voltage restorer (DVR) to improve the power quality for restructured power systems" American Journal of Electrical Power and Energy Systems 2 (3), 94-97; 2013
5. 2. BS Shaik, G Naganjaneyulu, T Chandrasheker, AV Narasimhadhan "A method for QRS delineation based on STFT using adaptive threshold", Procedia Computer Science 54, 646-653; 2015
6. 1. T Chandrasheker, NK Goyal, "An approach to evaluate multiple node pair reliability for simultaneous capacity requirements", International Journal of Performability Engineering 9 (4), 357 ; 2011

Conferences

1. Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases. DSAA 2022: 1-10

• 1) Bos Chairman, B. Tech IIIT RK Valley ( AY 2019-20)
• 2) Admission in-charge, RGUKT- IIIT RK Valley campus (2019-2020)
• 3) Appointed as Dean of Academics, IIIT RK Valley (Aug 2018- Jan 2020)
• 4) Appointed as Head of the Department, CSE, IIIT RK Valley (Aug 2016- July 2018)
• 5) BoS Member, B. Tech , IIIT RK Valley (2016-2019) 6) Admission Member, RGUKT AP (2017-18)
• M.Tech Coordinator from 2011-2015