Dr. Gutha Jaya Krishna
Assistant Professor
Dr. Gutha Jaya Krishna is currently an Assistant Professor at the Centre for Innovation and Technology, ASCI, Hyderabad, Telangana, India. His interests are in the fields of Data Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Language Technologies, Speech Technologies, Cybersecurity, Mathematics and Statistics. He is a PhD graduate in Computer Science from the University of Hyderabad with his research work done at IDRBT, an autonomous institute established by R.B.I. for research and development in Banking Technologies. He is also an M.Tech. in Artificial Intelligence from the University of Hyderabad, Telangana, India. He is a B.Tech. in Information Technology from J.N.T.U., Hyderabad, Telangana, India.
At ASCI he acted as Resource Person for various MDP’s Viz: ONGC Young Leaders Programme on
Understanding Financial Statement: ONGC Balance Sheet and Understanding cost drivers and cost control,
MDP entitled “Finance for Non-Finance Executives of “Gujarat State Petronet Ltd and Coir Board, Ministry of
MSME, GOI, MDP entitled Basics of Accounting & Finance for Officers of AEGCL Capacity Building under
NERPSIP Power System Improvement Project, MDP entitled Cost & Management Accounting for Officers of Fin.
Dept. Govt of Uttarakhand and MDP on Basics of Accounting & Finance for Officers of TSECL Capacity Building
Before joining ASCI, he was a Senior Data Scientist at SciTech Patent Art Services Private Limited. He also worked for one (1) year as a Research Scientist at NERTU, Osmania University campus, under an MoU-ToT project with IISU, ISRO. He possesses five (5) years of research and development experience as a Research Fellow at IDRBT. During the above-mentioned period of seven (7) years, he worked in the broad areas of Artificial Intelligence, Evolutionary Computation, Machine Learning, Deep Learning, Data Mining, Text Mining, Natural Language Processing (NLP) / Speech / Computer Vision / Sentiment Analysis technologies and Cryptography. He also has two (2) years of teaching experience, summing to a total of nine (9) years of teaching, research, and development experience.
He published his works in four international journal articles with a cumulative impact factor of 32.5, three (3) book chapters and twelve (12) international conference publications, out of which three are B-tier and three are C-tier conferences, in the core and application fields of A.I. and Data Science. He published his research works in global publishing houses like IEEE, Elsevier, Springer, ACM, IGI Global. Specific fields of his research are Rule-based Classification, Churn / Default / Fraud Detection, Clustering-based Anomaly Detection, High Utility Mining, Wrapper-based Feature Subset Selection, Sentiment Analysis, Bitcoin Price Prediction, Large Scale Global Optimization, Reliability Optimization of Complex Systems, Secure Key Generation, Ransomware Detection, Keystroke-based Authentication / Identification, Speaker Identification, Generative / AI Markup Language-based Chatbot Development, Fuzzy Cognitive Maps, Credit Scoring, Adaptive and Robust Evolutionary Computing, Rule-based Regression, etc.
He is interested in applying Artificial Intelligence, Evolutionary Computation, Machine Learning, Deep Learning, Data Mining, Text Mining, Natural Language Processing / Speech / Sentiment Analysis and Cryptography methods or techniques to various diverse application fields/domains for:
- Solving various Analytical and Operational problems of the Banking, Finance Services and Insurance (BFSI) sectors.
- Solving various business problems of Customer / Client / User Relationship Management.
- AI and ML application to Cyber Security
·
Optimizations
- Optimizations required for Supply Chain and Inventory Management
- AI and ML application to Health Care / Health Care Management, Hospital Management
- AI and ML application to the Defence, Agriculture, Space sectors and many more.
AI and ML application to the Defence, Agriculture,AI and ML application to the Defence, Agriculture, Space sectors and many more.
He can also teach / train in the broad areas of Artificial Intelligence, Evolutionary Computation, Machine Learning, Deep Learning, Data Mining, Text Mining, Natural Language Processing (NLP) / Speech / Computer Vision / Sentiment Analysis and Cryptography. He has experience in organizing / coordinating conferences, executive development programmes and colloquiums viz., 10th ICISS 2014, 5th FANCCO 2015, Customized programme on Customer Analytics using R and KNIME for Vijaya Bank, the Customized programme in Data Analytics for Securities and Exchange Board of India (SEBI), EDPs for Fraud Analytics, EDPs for Risk Analytics.
AI and ML application to the Defence, Agriculture,AI and ML application to the Defence, Agriculture, Space sectors and many more.
- Working on Project sponsored by National Bank for Agriculture and Rural Development (2021-22) entitled
CONTACT
Dr. Gutha Jaya Krishna
Assistant Professor
Centre for Innovation and Technology