Dr. Kiran Kumar Ravulakollu

Sr. Associate Professor

B.Tech (Computer Science & Engineering), Jawaharlal Nehru Technological University, Andhra Pradesh  

Certification: Artificial Intelligence
Ph.D. (Computer Science & Engineering), University of Sunderland,  Sunderland, United Kingdom  

Area of Specialization

Hybrid Intelligent Systems, Machine Learning,

Sensory Integration & Modelling, Internet of Things  


Research & Publications:-

International Journals:
GS Mishra, AK Sahoo and KK Ravulakollu (2017) “Word based Statistical Machine Translation from English Text to Indian Sign Language”, ARPN Journal of Engineering & Applied Sciences, Vol. 12, Issue: 2, Pp. 481 – 488
Jaya Sinha and KK Ravulakollu (2016), “Intelligent Agent Architecture for Runtime Software Evaluation”, International Journal of Control Theory & Applications, Vol. 9, Issue: 17, Pp. 8455 – 8462
AK Sahoo and KK Ravulakollu, (2014), “Vision based Indian Sign Language Character Recognition”, Journal of Theoretical & Applied Information Technology, Vol. 67, Issue. 3. Pp. 
R Kumar and KK Ravulakollu (2014), “Handwritten Devnagari Digit Recognition: BenchMarking on New Dataset”, Journal of Theoretical & Applied Information Technology, Vol. 60, Issue. 3, Pp.
R Kumar and KK Ravulakollu (2014), “Offline Handwritten Devnagari Digit Recognition”, ARPN Journal of Engineering & Applied Sciences, Vol. 9, Issue. 2, Pp. 109 – 115
AK Sahoo and KK Ravulakollu (2014), “Indian Sign Language Recognition Using Skin Color Detection”, International Journal of Applied Engineering Research, Vol 9, Issue. 20, Pp. 7347 – 7360 
R Kumar, KK Ravulakollu and R Bhat (2014), “Fuzzy-Membership based Writer Identification from Handwritten Devnagari Script”, Journal of Information Processing Systems, Vol. 
PK Sarangi and KK Ravulakollu (2014), “Feature Extraction and Dimensionality Reduction in Pattern Recognition Using Handwritten Odia Numerals” Middle-East Journal of Scientific Research, Vol. 22, Issue. 10, Pp. 1514 – 1519
R Kumar and KK Ravulakollu (2014), “On the performance of Devnagari Handwritten Character Recognition”, Journal of World Applied Sciences, Vol. 31, Issue. 6, Pp. 1012 – 1019
PK Sarangi, KK Ravulakollu and P Ahmed (2014), “Naïve Bayes Classifier with LU Factorization for Recognition of Handwritten Odia Numerals”, Indian Journal of Science & Technology, Vol. 7, Issue 1, Pp. 35-38
AK Sahoo, GS Mishra and KK Ravulakollu (2013), “Sign Language Recognition: State-of-The-Art”, 
KK Ravulakollu and P Chejara (2013), “Service –Oriented Cloud Architecture Schema to Bridge Gap Between Student, Staff and Academia”, Indian Journal of Computer Science & Engineering, Vol. 4, Issue. 5, Pp. 324 – 337
KK Ravulakollu, J Liu and K Burn (2012), “Stimuli Localization: An Integration Methodology inspired by the Superior Colliculus for Audio & Visual Attention”, Procedia Computer Science, Vol. 13, Pp. 31-42
KK Ravulakollu, H Erwin and K Burn (2011), “Improving Robot-Human Communication by Integrating Visual Attention and Auditory Localization using Biologically Inspired Model of Superior Colliculus”, Advanced Materials Research, Vol. 403, Pp. 4711 – 4717
KK Ravulakollu, M Knowles, J Liu and S Wermter (2009), “Towards Computational Modelling of Neural Multimodal Integration based on the Superior Colliculus Concept”, Innovations in Neural Information Paradigms and Applications, LNCS, Pp. 269 – 291
International Conferences:
FL Bello and KK Ravulakollu (2015), “Analysis and Evaluation of Hybrid Intrusion Detection System Models”, International Conference on Computers, Communications and Systems.
KK Ravulakollu and K Burn (2013), “A Novel Methodology for Exploring Enhancement and Depression Phenomena in Multisensory Localization: A Biologically Inspired Solution from Superior Colliculus”, International Conference on Intelligent Systems and Signal Processing, Pp. 7 – 12
Book Published:
KK Ravulakollu, MA Khan & A Abraham (2016), “Trends in Ambient Intelligent Systems: The Role of Computational Intelligence”, 
KK Ravulakollu (2015), “Sensory Integration Model for Multimodal Stimuli Localization”, 
Rewards & Recognition
Senior Member, INNS (International Neural Network Society)