Professor & HoD |
Ph.D: Data Privacy, CS&SE, Andhra University, 2015
P.G (M.Tech / M.E): IT, Andhra University, 2009
U.G (B. Tech / B.E): IT, JNTU Hyderabad, 2007
Teaching Experience: 9 Years
- Data Privacy
- Machine Learning
- Deep Learning
- Natural Language Processing
- Ph.D. Awarded: 2
- Ph.D. Pursuing: 2
- ACM Membership
- IE Membership
- PG Diploma in Data Science from IIIT Bangalore,2017-2018
- Sri Krishna, V. Valli Kumari. “A Study of Privacy Attacks on Social Network Data”, International Journal of Global Research in Computer Science. Volume 5(7):12-18, July 2014. Impact Factor -0.60 till January 2013.
- Sri Krishna, V. Valli Kumari. “PBLR: Priority Based Local Recoding Anonymization”, International Journal of Computer Technology and Applications, Volume 5(3), pp. 1236-1243, May 2014, Impact Factor -2.804, IC value-5.17.
- A Sri Krishna, V. Pavan Kumar, M. Vamsi Krishna, “A Survey on Personal Privacy Preserving Data Publication in IoT”, International Journal of Innovative Technology and Exploring Engineering, Issue-6C2, Blue Eyes Intelligence Engineering & Sciences Retrieval Number: F10480486C219 /19©BEIESP Publication, pp. 249-253, 2019.
- Kammili, P.R., Ramakrishnam Raju, B.H.V.S. & Krishna, A.S. Handling emotional speech: a prosody based data augmentation technique for improving neutral speech trained ASR systems. Int J Speech Technol 25, 197–204 (2022). https://doi.org/10.1007/s10772-021-09897-x
- VARMA, G. T.; KRISHNA, A. S. Transfer Learning-based Optimal Feature Selection with DLCNN for Shrimp Recognition and Classification. International Journal of Intelligent Engineering & Systems, [s. l.], v. 15, n. 5, p. 91–102, 2022. DOI:10.22266/ijies2022.1031.09.
- V. Valli Kumari, N. Sandeep Varma, A. Sri Krishna, K. V. Ramana, KVSVN Raju, “Checking Anonymity Levels for Anonymized data”, Proceedings of the Seventh International conference on Distributed Computing and Internet Technology, Springer-Lecture Notes in Computer Science, Volume 6536/2011,pp.278-289, 2011.
- A. Sri Krishna, V. Valli Kumari, “Attribute Based Anonymity for Preserving Privacy”, Proceeding of the First International conference on Advances in Computing and Communications, Part IV, Springer-CCIS 193, pp. 572–579, 2011.
- Sri Krishna, V. Valli Kumari, “An Efficient and Dynamic Concept Hierarchy Generation for Data Anonymization”, Proceedings of the ninth International conference on Distributed Computing and Internet Technology, Springer-Lecture Notes in Computer Science, Volume 7753/2013, pp. 488-499, 2013.
- G. T. Varma and A. S. Krishna, “SDNet: Integrated Unsupervised Learning with DLCNN for Shrimp Disease Detection and Classification,” 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India, 2022, pp. 1-6, doi: 10.1109/ICDSIS55133.2022.9915812
- Tej Varma, G., Adusumalli, S.K. (2023). Shrimp Surfacing Recognition System in the Pond Using Deep Computer Vision. In: Rao, B.N.K., Balasubramanian, R., Wang, SJ., Nayak, R. (eds) Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol 315. Springer, Singapore. https://doi.org/10.1007/978-981-19-4162-7_21
- Vadrevu, P.K., Veeramanickam, M.R.M., Adusumalli, S.K., Bunga, S.K. (2023). Sign Language Recognition for Needy People Using Machine Learning Model. In: Rao, B.N.K., Balasubramanian, R., Wang, SJ., Nayak, R. (eds) Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol 315. Springer, Singapore. https://doi.org/10.1007/978-981-19-4162-7_22
- M. V. Subbarao, J. T. S. Sindhu, N. N. S. Harshitha, K. P. Vasavi, A. S. Krishna and G. C. Ram, “Detection of Retinal Degeneration via High-Resolution Fundus Images using Deep Neural Networks,” 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, pp. 955-960, doi: 10.1109/ICEARS56392.2023.10085273.
- G. C. Ram, M. V. Subbarao, D. R. Varma and A. S. Krishna, “Enhanced Deep Convolutional Neural Network for Identifying and Classification of Silicon Wafer Faults in IC Fabrication Industries,” 2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, 2023, pp. 1-6, doi: 10.1109/WiSPNET57748.2023.10133996.
- Senthil Kumar, A., Ademe, M., Ananda Kumar, K.S., Adusumalli, S., Venkata Subbarao, M., Sudhakar, K. (2024). Detection of Leaf Black Sigatoka Disease in Enset Using Convolutional Neural Network. In: Zen, H., Dasari, N.M., Latha, Y.M., Rao, S.S. (eds) Soft Computing and Signal Processing. ICSCSP 2023. Lecture Notes in Networks and Systems, vol 840. Springer, Singapore. https://doi.org/10.1007/978-981-99-8451-0_26
- Attended Two days Online Master Class Training Program on Design Thinking, from 02-01-2021 to 03-01-2021 and organized by Upgrade Rise.
- Attended Two days Online Training Program on Accelerated Data Science Organized by NSM Nodal Centre, Indian Institute of Technology Kharagpur and NVIDIA, from 20-02-2021 to 21-02-2021
- Attended Two days Online Master Class on Intellectual Property BananaIP Counsels in association with K-Tech CoE Data Science & AI – NASSCOM from 15-06-2021 to 16-06-2021.
- Attended One Week Online ATAL FDP on Data Science Organized by Amity Institute of Information Technology, AICTE Training And Learning (ATAL) Academy , from 14-12-2020 to 18-12-2020
- Attended One Week Online ATAL FDP on Big Data Analytics Organized by Siddhartha Institute of Engineering & Technology,AICTE Training And Learning (ATAL) Academy, from 25-01-2021 to 29-01-2021
- Attended Two Week Online ATAL FDP on Machine Learning for Computer Vision Organized by Electronics & ICT Academies, IIT Guwahati, IIT Kanpur, MNIT Jaipur, NIT Patna and PDPM IIITDM Jabalpur, from 01-02-2021 to 12-02-2021
- Attended One Week Online FDP on Introduction to Cyber Security & Penetration Testing Organized by Andhra University College of Engineering(A) under ISEA Project, MEITY, Govt of India., from 09-03-2021 to 14-03-2021
- Attended Two Week Online ATAL FDP on Social Robotics & AI Organized by Electronics & ICT Academies, MNIT Jaipur, NIT Patna and PDPM IIITDM Jabalpur Supported by Minsitry of Electronics and Information Technology, Govt, from 28-06-2021 to 04-07-2021
- Participated and Completed FDP on Essentials Of Statistical Analysis And Data Science with AWS Sagemaker organized by Deep Tech Virtual Labs, L4G Solutions and AWS from 18.10.2021 to 25.10.2021
- Organized an Virtual expert talk on Software Development Standards – A Practitioner’s View By Shameer Pulikkal,Embedded Software developer at Microsoft, having 10+ years’ experience on 17-07-2021.
- Organized An expert talk is conducted on “Artificial Intelligence” by Mr. Prasanna Murthy Gurajapu, Sr. R& D Manager, Honeywell to I & II year AI&DS, AI&ML students on 18-12-2021.
- Organized CODEFIESTA::2021 – A National Level Online Quiz and Coding Competition on the occasion of Engineer’s Day on 15-09-2021. Around 77 participants attended and 15 participants scored more than 70% awarded online certificates.
- Datathon 1.0(36hrs collaborative Analytical Hackthon) is conducted on 18-06-2022 to 19-06-2022. Mr. Snehith Allamraju, Senior Manager Advanced Analytics, Envista Holdings Corporation, Hyderabad, Telangana act as industry expert to guide and judge the work done by students.
- Organized an Webinar on “Dive into Opensource”, by Vasanth Gopa, Devops Engineer at SAP labs India & Mani Kishan, Data Analytics Engineer, Schlumberger on 08-12-2022.
- Organized Two Days Online Bootcamp on DATA SCIENCE FOUNDATIONS from 5th April to 6th April 2023 in Association with Sabudh Foundation, More than 200+ students are actively participated.
- Organized one Expert Talk on How to Stand Out in the Competitive Market Landscape by Supreet Kaur, Assistant Vice President at Morgan Stanley, Building WTM Ambassador, International Speaker, Top 100 Women in Data AI on 05-07-2023.
- Organized Statistical training program by Prof.R.Venkeswarulu, Adjunct Professor, Andhra University, on 10-09-2023.
- Conducted one day students contest on “Generating Diwali Greeting Cards using Generative AI” in Association with BVRITN in collaboration with GPTFU and One Convergence on 26 Oct 2023.Around 300+ Students are participated across all departments.
- Organized Technova 2K24 – National Level Technical Symposium during 11th and 12th March 2024.
- Organized a session on Responsible and Safe AI with Dr. Punnarangam Kumaraguru, Professor, IIITH, addressed First & Second Year Students on AI Privacy on 22-03-2024
- Introduction to programming in C (8weeks) with 91.5% with Elite tag)
- Programming, Data Structures and Algorithms using Python (8 weeks) with 70% with Elite Tag
