Associate Professor
Computer Science & Artificial Intelligence
Vel Tech Ranrajan Dr. Sagunthala R&D Institute of Science and Technology ( Deemed to be University), Avadi, Chennai
21 years 6 months
Music, Travelling, Solving Puzzles
Emotion Recognition, Sentimental Analysis, Computer Vision, ML, DL, Music Signal Processing, Urban Planning, Digital Twinning, and Steganography,
Mail: k.sriraman@sru.edu.in
Ph.D. in Computer Science and Engineering from Vel Tech Ranrajan Dr. Sagunthala R&D Institute of Science and Technology ( Deemed to be University), Avadi, Chennai
M.Tech., in Computer Science and Engineering from Acharya Nagarjuna University, Guntur
B.E., in Computer Science and Engineering from Bharathidasan University, Tiruchirapalli
Associate Professor at SR University, Warangal, from 2025-02-24 to .
Professor and Head- Academics at Exafluence Education, (An Ed Tech Unit of Exafluence Inc., USA) @ Sri Venkateswara University, Tirupathi, A.P., from 2024-07-22 to 2025-01-31.
Assistant Professor in CSE at Vel Tech Ranrajan Dr. Sagunthala R&D Institute of Science and Technology ( Deemed to be University), Avadi, Chennai, from 2017-05-27 to 2024-06-25.
Associate Professor at KKR & KSR Institute of Technology and Sciences, Vinjanampadu. Guntur, from 2015-06-01 to 2017-05-25.
Associate Professor *& HoD-CSE at Vignan's LARA Institute of Technology and Science, Vadlamudi, Guntur, from 2009-06-15 to 2015-03-02.
Associate Professor & HoD-IT at Amara Institute of Engineering and Technology, Satuluru, Narasaraopeta, from 2008-12-01 to 2009-04-25.
Associate Professor at CMR Institute of Technology, Kandlakoya, Medchal. Hyderabad, from 2007-06-18 to 2008-11-30.
Assistant Professor at SVH College of Engineering, Machilipatnam, from 2004-06-24 to 2005-07-30.
Assistant Professor at PVP Siddartha Institute of Technology, Kanuru, Vijayawada, from 2003-06-16 to 2004-06-21.
Assistant Professor at Narasaraopeta Engineering College, from 2001-09-19 to 2003-04-30.
PG
UG
C6. Sriraman Kothuri et al, “OO Metric Studies of Behavioural Diagrams”, Global Trends in Information Systems and Software Applications:4th Intl. Conf.,ObCom2011, Vellore, TN, India 9-11 Dec,2011.
C5. Sriraman Kothuri et al, “Temporal Pattern Mining in an Object Set Having Irregular Layered Structure by Using SASK Algorithm” IC3I-2014, SJCE, Mysuru 27-29 November,2014.
C4. Sriraman, K. , Teja, M. (2014). 'Recognition & Counting Algorithm for Sub-Regional Objects in A Handwritten Image Through Image Sets'. ICIP 2014: International Conference on Information Processing, London, United Kingdom, (Nov 28-29, 2014) World Academy of Science, Engineering and Technology, International Science Index, Computer and Information Engineering, 2(11), 616.
C3. Teja.MK, Kothuri. S (2020), ”Effective way of Deriving content from a hand written Image/object”, AISC, 1027, pp79-88.
C2. Kothuri. S.R., et al (2023), “Enhancing Pedestrain Safety in Autonomous Vehicles through Machine Learning”, ICSCNA-2023, pp. 1587-1592.
Conference Publication: C1. Kothuri. S.R., et al (2024), “Hybrid CNN-LSTM Machine Learning Algorithm for Driver Distraction Detection”, 2nd International Conference on Integrated Circuits and Communication Systems, ICICACS 2024, 2024
16. Divya.P, Sriraman Kothuri, (2013) “A Novel well-organized energy efficient protocol & routing procedure for co-operative networks”, IJAIEM, p.no 269-277, vol.2, Iss.7, jul,2013.
15. Sriraman Kothuri et al,(2012), “OO Metric Studies of Behavioural Diagrams”, Proceedings of Communications in computer and Information Science, Part-II, vol. 270 p.no.588-595, Springer-Verlag Berlin Heidelberg. DOI: 10.1007/978-3-642-29216-3_64 ISSN: 1865-0929. {Citation: 13}
14. Sriraman Kothuri et al,(2013), “Digit Recognition Using Freeman Chain Code”, IJAIEM, p. no 362-365, Vol.2, Iss. 8, Aug 2013 ISSN 2319-4847 {citation: 27}.
13. M.K.Teja, K. Sriraman et al (2015), ‘Virtual 3D Trail mirror to Project the Image Reality’, Intl. Conf. on Computational Intelligence in Data Mining(CIDM) –vol.1, p.no. 165-174, Smart Innovation, Systems and Technologies (SIST) 31, Springer India. DOI 10.1007/978-81-322-2205-7_16
12. Kothuri, S. et al (2014).“Temporal Pattern Mining in an Object Set Having Irregular Layered Structure by Using SASK Algorithm”, Intl. conf. on Contemporary Computing and Informatics(IC3I), 2014, DOI: 10.1109/IC3I.2014.7019688, Pub Year: 2014 , Page(s): 676 – 681.
11. Kothuri, S., Teja, M.K. (2015). Hull Detection from Handwritten Digit Image. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_37
10. Sriraman, K. , Teja, M. (2014). 'Recognition & Counting Algorithm for Sub-Regional Objects in A Handwritten Image Through Image Sets', World Academy of Science, Engineering and Technology, International Journal of Information and Communication Engineering, Vol.8, N0.11.
9. Sriraman, K. , Teja, M. (2015). 'Hull Detection from Handwritten Digit Image’. , Emerging ICT for Bridging the Future – Proceedings. of 49th Annual Convention of the CSI, p.no. 329-336, Advances in Intelligence Systems and Computing Vol. 337, Springer International Publishing Switzerland. DOI: 10.1007/978-3-319-13728-5_37.
8. Sri Raman K, et al, (2018), ‘An improved MDS solution for improving mofussil buses in Chennai during prime and off-peak hours’, Journal of Advanced Research in Dynamical and Control Systems, 2018, 10(7), pp. 313–320
7. Sri Raman K.,et al, (2018), ‘E-application and dss for farmers to sell food crops through e-auction’,International Journal of Engineering and Technology(UAE), 2018, 7(2), pp. 101–103.
6. Mattupalli., K.T., Sriraman,K., (2020), ‘Effective Way of Deriving the Context from a Handwritten Image/Object’, Advances in Intelligent Systems and Computing,2020, Volume 1027, Pages 79 – 88. 4th International Congress on Information and Communication Technology, ICICT 2019, London. DOI: 10.1007/978-981-32-9343-4_8
5. Sriraman,K., Raja Lakshmi N R (2022). ‘A Hybrid Feature Selection Model for Emotion Recognition using Shuffled Frog Leaping Algorithm (SFLA)-Incremental Wrapper- Based Subset Feature Selection (IWSS)’, Indian Journal of Computer Science and Engineering (IJCSE), 2022, 13, No 2 pp. 354–364. DOI: 10.21817/indjcse/2022/v13i2/221302040
4. Sriraman,K., Raja Lakshmi N R (2022). ‘MALO-LSTM: Multimodal Sentiment Analysis Using Modified Ant Lion Optimization with Long Short Term Memory Network’. International Journal of Intelligent Engineering and Systems, 2022, 15(5), pp. 326–335. DOI: 10.22266/ijies2022.1031.29
3. Sriraman,K., etal (2024). “AI Enabled Image Upscaler for Retinal Anamoly Detection with Dense Neural Computation”,. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), pp487-494.
2. Sriraman,K., Raja Lakshmi N R (2024). ‘"Siamese Capsule Gorilla Troops Network based Multimodal Sentiment Analysis for Car Reviews”, Soft Computing, 28(13-14), pp. 7627–7647.
1. Sriraman,K., Raja Lakshmi N R (2025).” Optimized Feature Selection Approach with Elicit Conditional Generative Adversarial Network based Class Balancing Approach for Multimodal Sentiment Analysis in Car Reviews” "International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems", Vol. 33, No. 01, pp. 55-86 ISSN: 0218-4885.
1. Sriraman,K., Raja Lakshmi N R (2025).” Optimized Feature Selection Approach with Elicit Conditional Generative Adversarial Network based Class Balancing Approach for Multimodal Sentiment Analysis in Car Reviews” "International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems", Vol. 33, No. 01, pp. 55-86 ISSN: 0218-4885.
Design No. : 410122-001 Date : 11/03/2024 Reciprocity Date* : Country : India Design patent title: Certified that the design of which a copy is annexed hereto has been registered as of the number and date given above in class 14-02 in respect of the application of such design to ARTIFICIAL INTELLIGENCE BASED DEVICE FOR SENTIMENT ANALYSIS IN ONLINE SHOPPING in the name of Sri Raman Kothuri.
Patent Filed on “Automated Marketing Platform Utilizing Natural Language Processing And Behavioral Analysis For Personalized Consumer Engagement” on 24/08/2023 and application number: 202341056924.